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S. M. Muyeen
School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth 6102, Australia

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Short Biography

Dr. S. M. Muyeen received his B.Sc. Eng. Degree from Rajshahi University of Engineering and Technology (RUET), Bangladesh formerly known as Rajshahi Institute of Technology, in 2000 and M. Eng. and Ph.D. Degrees from Kitami Institute of Technology, Japan, in 2005 and 2008, respectively, all in Electrical and Electronic Engineering. At the present, he is working as an Associate Professor in the School of Electrical Engineering Computing and Mathematical Sciences, Curtin University, Australia. His research interests are power system stability and control, electrical machine, FACTS, energy storage system (ESS), Renewable Energy, and HVDC system. He has been a Keynote Speaker and an Invited Speaker at many international conferences, workshops, and universities. He has published more than 225 articles in different journals and international conferences. He has published seven books as an author or editor. He is serving as Editor/Associate Editor for many prestigious Journals from IEEE, IET, and other publishers including IEEE Transactions on Sustainable Energy, IEEE Transactions on Energy Conversion, IEEE Power Engineering Letters, IET Renewable Power Generation and IET Generation, Transmission & Distribution, etc. Dr. Muyeen is the senior member of IEEE and Fellow of Engineers Australia.

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Journal article
Published: 25 August 2021 in Energy Conversion and Management
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In this paper, a technique to enhance the performances of the thermoelectric generator under non-uniform heat distribution is developed. A large area of heat source is needed when the thermoelectric generator is used for high power applications such as powering air conditioners, household appliances, and distributed generation systems. Non-uniform heat distribution is a natural phenomenon in large surface of heat source. A model was developed and was validated with a prototype of thermoelectric panel 80 V, 2 A. Results show very good similarities between the model and the prototype outputs under various operating conditions. The error during the tests for the voltage performances was 6.5%, while the current was 1.1%. A method of maximizing power, i.e., developing a specialized maximum power point tracker (MPPT) along with blocking diodes, is proposed to overcome the effects of non-uniform heat distribution. In a typical condition, the output power dropped by 30% when a non-uniform thermal distribution is imposed to the array. The blocking diode can save power by 15%, and the MPPT expands up to 20% power when adopting this method.

ACS Style

Miftah Y. Fauzan; S.M. Muyeen; Syed Islam. Enhanced power extraction from thermoelectric generators considering non-uniform heat distribution. Energy Conversion and Management 2021, 246, 114565 .

AMA Style

Miftah Y. Fauzan, S.M. Muyeen, Syed Islam. Enhanced power extraction from thermoelectric generators considering non-uniform heat distribution. Energy Conversion and Management. 2021; 246 ():114565.

Chicago/Turabian Style

Miftah Y. Fauzan; S.M. Muyeen; Syed Islam. 2021. "Enhanced power extraction from thermoelectric generators considering non-uniform heat distribution." Energy Conversion and Management 246, no. : 114565.

Journal article
Published: 24 August 2021 in Designs
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The Internet of Things (IoT) plays an indispensable role in present-day household electricity management. Nevertheless, practical development of cost-effective intelligent condition monitoring, protection, and control techniques for household distribution systems is still a challenging task. This paper is taking one step forward into a practical implementation of such techniques by developing an IoT Smart Household Distribution Board (ISHDB) to monitor and control various household smart appliances. The main function of the developed ISHDB is collecting and storing voltage, current, and power data and presenting them in a user-friendly way. The performance of the developed system is investigated under various residential electrical loads of different energy consumption profiles. In this regard, an Arduino-based working prototype is employed to gather the collected data into the ThingSpeak cloud through a Wi-Fi medium. Blynk mobile application is also implemented to facilitate real-time monitoring by individual consumers. Microprocessor technology is adopted to automate the process, and reduce hardware size and cost. Experimental results show that the developed system can be used effectively for real-time home energy management. It can also be used to detect any abnormal performance of the electrical appliances in real-time through monitoring their individual current and voltage waveforms. A comparison of the developed system and other existing techniques reveals the superiority of the proposed method in terms of the implementation cost and execution time.

ACS Style

Musse Mohamud Ahmed; Ohirul Qays; Ahmed Abu-Siada; S. M. Muyeen; Liton Hossain. Cost-Effective Design of IoT-Based Smart Household Distribution System. Designs 2021, 5, 55 .

AMA Style

Musse Mohamud Ahmed, Ohirul Qays, Ahmed Abu-Siada, S. M. Muyeen, Liton Hossain. Cost-Effective Design of IoT-Based Smart Household Distribution System. Designs. 2021; 5 (3):55.

Chicago/Turabian Style

Musse Mohamud Ahmed; Ohirul Qays; Ahmed Abu-Siada; S. M. Muyeen; Liton Hossain. 2021. "Cost-Effective Design of IoT-Based Smart Household Distribution System." Designs 5, no. 3: 55.

Original research article
Published: 23 July 2021 in Frontiers in Energy Research
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Power system cybersecurity has recently become important due to cyber-attacks. Due to advanced computer science and machine learning (ML) applications being used by malicious attackers, cybersecurity is becoming crucial to creating sustainable, reliable, efficient, and well-protected cyber-systems. Power system operators are needed to develop sophisticated detection mechanisms. In this study, a novel machine-learning-based detection algorithm that combines the five most popular ML algorithms with Particle Swarm Optimizer (PSO) is developed and tested by using an intelligent hacking algorithm that is specially developed to measure the effectiveness of this study. The hacking algorithm provides three different types of injections: random, continuous random, and slow injections by adaptive manner. This would make detection harder. Results shows that recall values with the proposed algorithm for each different type of attack have been increased.

ACS Style

Levent Yavuz; Ahmet Soran; Ahmet Onen; Sm Muyeen. PSO Supported Ensemble Algorithm for Bad Data Detection Against Intelligent Hacking Algorithm. Frontiers in Energy Research 2021, 9, 1 .

AMA Style

Levent Yavuz, Ahmet Soran, Ahmet Onen, Sm Muyeen. PSO Supported Ensemble Algorithm for Bad Data Detection Against Intelligent Hacking Algorithm. Frontiers in Energy Research. 2021; 9 ():1.

Chicago/Turabian Style

Levent Yavuz; Ahmet Soran; Ahmet Onen; Sm Muyeen. 2021. "PSO Supported Ensemble Algorithm for Bad Data Detection Against Intelligent Hacking Algorithm." Frontiers in Energy Research 9, no. : 1.

Review article
Published: 12 July 2021 in Renewable and Sustainable Energy Reviews
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Modernization in the area of smart energy equipment, are forming the perception of an interlinked energy network in subsequent times. This energy network is contemplated to govern real-time energy consumption and optimization in the future. Traversing a prolonged period of development, the energy industry has reached the landmark of Virtual Power Plant (VPP) and still going onward to this newfangled energy network, also can be called the next generation VPP. This paper demonstrates the challenges and opportunities in executing the transpiring aspects of the next generation VPP. Based on essential components and requisites, detailed descriptions are depicted from different technological viewpoints such as electrical and communication, computing technologies, energy management, economic profit, geographical factors, and adoption of emerging technologies. We also present the recent updates of existing VPP projects. Finally, considerations towards implementing the next generation VPP are marked out, along with necessary frameworks, regulations, and policies. This paper can provide prudent support for researchers and practitioners in the field of VPP.

ACS Style

Erphan A. Bhuiyan; Zahid Hossain; S.M. Muyeen; Shahriar Rahman Fahim; Subrata K. Sarker; Sajal K. Das. Towards next generation virtual power plant: Technology review and frameworks. Renewable and Sustainable Energy Reviews 2021, 150, 111358 .

AMA Style

Erphan A. Bhuiyan, Zahid Hossain, S.M. Muyeen, Shahriar Rahman Fahim, Subrata K. Sarker, Sajal K. Das. Towards next generation virtual power plant: Technology review and frameworks. Renewable and Sustainable Energy Reviews. 2021; 150 ():111358.

Chicago/Turabian Style

Erphan A. Bhuiyan; Zahid Hossain; S.M. Muyeen; Shahriar Rahman Fahim; Subrata K. Sarker; Sajal K. Das. 2021. "Towards next generation virtual power plant: Technology review and frameworks." Renewable and Sustainable Energy Reviews 150, no. : 111358.

Journal article
Published: 01 July 2021 in Electronics
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The continuous stability of hybrid microgrids (MGs) has been recently proposed as a critical topic, due to the ever-increasing growth of renewable energy sources (RESs) in low-inertia power systems. However, the stochastic and intermittent nature of RESs poses serious challenges for the stability and frequency regulation of MGs. In this regard, frequency control ancillary services (FCAS) can be introduced to alleviate the transient effects during substantial variations in the operating point and the separation from main power grids. In this paper, an efficient scheme is introduced to create a coordination among distributed energy resources (DERs), including combined heat and power, diesel engine generator, wind turbine generators, and photovoltaic panels. In this scheme, the frequency regulation signal is assigned to DERs based on several distribution coefficients, which are calculated through conducting a multi-objective optimization problem in the MATLAB environment. A meta-heuristic approach, known as the artificial bee colony algorithm, is deployed to determine optimal solutions. To prove the efficiency of the proposed scheme, the design is implemented on a hybrid MG. Various operational conditions which render the system prone to experience frequency fluctuation, including switching operation, load disturbance, and reduction in the total inertia of hybrid microgrids, are studied in PSCAD software. Simulation results demonstrate that this optimal control scheme can yield a more satisfactory performance in the presence of grid-following and grid-forming resources during different operational conditions.

ACS Style

Mohsen Arzani; Ahmadreza Abazari; Arman Oshnoei; Mohsen Ghafouri; S. Muyeen. Optimal Distribution Coefficients of Energy Resources in Frequency Stability of Hybrid Microgrids Connected to the Power System. Electronics 2021, 10, 1591 .

AMA Style

Mohsen Arzani, Ahmadreza Abazari, Arman Oshnoei, Mohsen Ghafouri, S. Muyeen. Optimal Distribution Coefficients of Energy Resources in Frequency Stability of Hybrid Microgrids Connected to the Power System. Electronics. 2021; 10 (13):1591.

Chicago/Turabian Style

Mohsen Arzani; Ahmadreza Abazari; Arman Oshnoei; Mohsen Ghafouri; S. Muyeen. 2021. "Optimal Distribution Coefficients of Energy Resources in Frequency Stability of Hybrid Microgrids Connected to the Power System." Electronics 10, no. 13: 1591.

Journal article
Published: 28 June 2021 in IEEE Access
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Careful consideration of grid developments illustrates the fundamental changes in its structure which its developments have taken place gradually for a long time. One of the most important developments is the expansion of the communication infrastructure that brings many advantages in the cyber layer of the system. The actual execution of the peer-to-peer (P2P) energy trading is one core advantage which also may lead to the systematic risks such as cyber-attacks. Consequently, it is necessary to form a useful way to cover such challenges. This paper focuses on the online detection of false data injection attack (FDIA), which tries to disrupt the trend of optimal peer-to-peer energy trading in the stochastic condition. Moreover, this article proposes an effective modified Intelligent Priority Selection based Reinforcement Learning (IPS-RL) method to detect and stop the malicious attacks in the shortest time for effective energy trading based on the peer to peer structure. The presented method is compared with other methods such as support vector machine (SVM), reinforcement learning (RL), particle swarm optimization (PSO)-RL, and genetic algorithm (GA)-RL to validate the functionality of the method. The proposed method is implemented and examined on three interconnected microgrids in the form of peer-to-peer structure wherein each microgrid has various agents such as photovoltaic (PV), wind turbine, fuel cell, tidal system, storage unit, etc. Eventually, the unscented transformation (UT) is applied for uncertainty analysis and making the near-reality simulations.

ACS Style

Mohamed A. Mohamed; Ali Hajjiah; Khalid Abdulaziz Alnowibet; Adel Fahad Alrasheedi; Emad Mahrous Awwad; S. M. Muyeen. A Secured Advanced Management Architecture in Peer-to-Peer Energy Trading for Multi-Microgrid in the Stochastic Environment. IEEE Access 2021, 9, 1 -1.

AMA Style

Mohamed A. Mohamed, Ali Hajjiah, Khalid Abdulaziz Alnowibet, Adel Fahad Alrasheedi, Emad Mahrous Awwad, S. M. Muyeen. A Secured Advanced Management Architecture in Peer-to-Peer Energy Trading for Multi-Microgrid in the Stochastic Environment. IEEE Access. 2021; 9 ():1-1.

Chicago/Turabian Style

Mohamed A. Mohamed; Ali Hajjiah; Khalid Abdulaziz Alnowibet; Adel Fahad Alrasheedi; Emad Mahrous Awwad; S. M. Muyeen. 2021. "A Secured Advanced Management Architecture in Peer-to-Peer Energy Trading for Multi-Microgrid in the Stochastic Environment." IEEE Access 9, no. : 1-1.

Research article
Published: 17 June 2021 in International Transactions on Electrical Energy Systems
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With the recent proliferation and penetration of wind farms into existing power grids, it is paramount to conduct numerous studies to counter grid disturbances based on operational grid codes. One of the ways of generating electric power from wind energy is by employing the promising technology of the permanent magnet synchronous generator (PMSG) wind turbine. In order to solve the transient stability intricacies posed by the stochastic nature of wind energy during grid faults, this paper proposes a fault current limiter for a PMSG-based wind turbine control. The fault current limiter used in this study is a series dynamic braking resistor (SDBR). The best location to place the SDBR on the machine-side and grid-side converters (GSCs) of the wind generator was investigated, considering the grid voltage as its switching signal during transient state. Efforts have been given to find a suitable sizing of the SDBR. The performance of the SDBR has been investigated at various network strengths in weak and strong grids. A severe three-line-to-ground fault and asymmetrical faults were used to test the robustness and rigidity of the controllers of the wind generator. The system performance was evaluated using power system computer aided design and electromagnetic transient including DC (PSCAD/EMTDC) platform. The same conditions of operation were used in investigating the various scenarios considered in this study, for effective comparison.

ACS Style

Kenneth E. Okedu; S. M. Muyeen. Enhanced performance of PMSG wind turbines during grid disturbance at different network strengths considering fault current limiter. International Transactions on Electrical Energy Systems 2021, 31, e12985 .

AMA Style

Kenneth E. Okedu, S. M. Muyeen. Enhanced performance of PMSG wind turbines during grid disturbance at different network strengths considering fault current limiter. International Transactions on Electrical Energy Systems. 2021; 31 (8):e12985.

Chicago/Turabian Style

Kenneth E. Okedu; S. M. Muyeen. 2021. "Enhanced performance of PMSG wind turbines during grid disturbance at different network strengths considering fault current limiter." International Transactions on Electrical Energy Systems 31, no. 8: e12985.

Original research paper
Published: 02 May 2021 in IET Renewable Power Generation
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Due to the intermittent nature of the renewable energy systems (RESs), more specifically, solar panels and wind turbines, their sole use does not lead to a smooth and reliable power. To overcome this issue, the concurrent grid‐integration of RESs to form a microgrid is reported. In the DC‐bus microgrid, the produced power by RES is initially given to the shared DC‐bus through an individual source‐side converter and then transmitted to the utility via a common grid‐side converter. By increasing the number of RESs, the number of required power converters, and therefore, the investment cost also increase. Using the cost‐effective multi‐input low‐switch converters is a promising alternative to alleviate this significant need for individual converters. Recently, a nine‐switch‐based unified expandable power converter (UEPC) has been presented for concurrent integration of AC and DC sources with a tangible fewer switch count. This unified structure has been utilized in two configurations named AC‐AC‐AC and AC‐AC‐DC. In this paper, both configurations are evaluated and compared in terms of current stress and switching loss. Considering the current stress analysis, the best port for interfacing with the grid to lower the total current rating of power switching devices is also determined. The high‐performance capability of both configurations is finally verified using MATLAB/Simulink.

ACS Style

Hamed Bizhani; S. M. Muyeen; Fatemeh R. Tatari; Kuaanan Techato; Lazhar Ben‐Brahim; Frede Blaabjerg. Current stress and switching loss evaluation of a unified expandable power converter used for grid‐integration of renewable energy sources. IET Renewable Power Generation 2021, 15, 2561 -2570.

AMA Style

Hamed Bizhani, S. M. Muyeen, Fatemeh R. Tatari, Kuaanan Techato, Lazhar Ben‐Brahim, Frede Blaabjerg. Current stress and switching loss evaluation of a unified expandable power converter used for grid‐integration of renewable energy sources. IET Renewable Power Generation. 2021; 15 (12):2561-2570.

Chicago/Turabian Style

Hamed Bizhani; S. M. Muyeen; Fatemeh R. Tatari; Kuaanan Techato; Lazhar Ben‐Brahim; Frede Blaabjerg. 2021. "Current stress and switching loss evaluation of a unified expandable power converter used for grid‐integration of renewable energy sources." IET Renewable Power Generation 15, no. 12: 2561-2570.

Journal article
Published: 04 March 2021 in Energies
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Cyberattacks (CAs) on modern interconnected power systems are currently a primary concern. The development of information and communication technology (ICT) has increased the possibility of unauthorized access to power system networks for data manipulation. Unauthorized data manipulation may lead to the partial or complete shutdown of a power network. In this paper, we propose a novel security unit that mitigates intrusion for an interconnected power system and compensates for data manipulation to augment cybersecurity. The studied two-area interconnected power system is first stabilized to alleviate frequency deviation and tie-line power between the areas by designing a fractional-order proportional integral derivative (FPID) controller. Since the parameters of the FPID controller can also be influenced by a CA, the proposed security unit, named the automatic intrusion mitigation unit (AIMU), guarantees control over such changes. The effectiveness of the AIMU is inspected against a CA, load variations, and unknown noises, and the results show that the proposed unit guarantees reliable performance in all circumstances.

ACS Style

Faisal Badal; Zannatun Nayem; Subrata Sarker; Dristi Datta; Shahriar Rahman Fahim; S. Muyeen; Islam Sheikh; Sajal Das. A Novel Intrusion Mitigation Unit for Interconnected Power Systems in Frequency Regulation to Enhance Cybersecurity. Energies 2021, 14, 1401 .

AMA Style

Faisal Badal, Zannatun Nayem, Subrata Sarker, Dristi Datta, Shahriar Rahman Fahim, S. Muyeen, Islam Sheikh, Sajal Das. A Novel Intrusion Mitigation Unit for Interconnected Power Systems in Frequency Regulation to Enhance Cybersecurity. Energies. 2021; 14 (5):1401.

Chicago/Turabian Style

Faisal Badal; Zannatun Nayem; Subrata Sarker; Dristi Datta; Shahriar Rahman Fahim; S. Muyeen; Islam Sheikh; Sajal Das. 2021. "A Novel Intrusion Mitigation Unit for Interconnected Power Systems in Frequency Regulation to Enhance Cybersecurity." Energies 14, no. 5: 1401.

Journal article
Published: 02 March 2021 in Energies
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This paper presents Nyström minimum kernel risk-sensitive loss (NysMKRSL) based control of a three-phase four-wire grid-tied dual-stage PV-hybrid energy storage system, under varying conditions such as irradiation variation, unbalanced load, and abnormal grid voltage. The Voltage Source Converter (VSC) control enables the system to perform multifunctional operations such as reactive power compensation, load balancing, power balancing, and harmonics elimination while maintaining Unity Power Factor (UPF). The proposed VSC control delivers more accurate weights with fewer oscillations, hence reducing overall losses and providing better stability to the system. The seamless control with the Hybrid Energy Storage System (HESS) facilitates the system’s grid-tied and isolated operation. The HESS includes the battery, fuel cell, and ultra-capacitor to accomplish the peak shaving, managing the disturbances of sudden and prolonged nature occurring due to load unbalancing and abnormal grid voltage. The DC link voltage is regulated by tuning the PI controller gains utilizing the Salp Swarm Optimization (SSO) algorithm to stabilize the system with minimum deviation from the reference voltage, during various simulated dynamic conditions. The optimized DC bus control generates the accurate loss component of current, which further enhances the performance of the proposed VSC control. The presented system was simulated in the MATLAB 2016a environment and performed satisfactorily as per IEEE 519 standards.

ACS Style

Mukul Chankaya; Ikhlaq Hussain; Aijaz Ahmad; Irfan Khan; S.M. Muyeen. Nyström Minimum Kernel Risk-Sensitive Loss Based Seamless Control of Grid-Tied PV-Hybrid Energy Storage System. Energies 2021, 14, 1365 .

AMA Style

Mukul Chankaya, Ikhlaq Hussain, Aijaz Ahmad, Irfan Khan, S.M. Muyeen. Nyström Minimum Kernel Risk-Sensitive Loss Based Seamless Control of Grid-Tied PV-Hybrid Energy Storage System. Energies. 2021; 14 (5):1365.

Chicago/Turabian Style

Mukul Chankaya; Ikhlaq Hussain; Aijaz Ahmad; Irfan Khan; S.M. Muyeen. 2021. "Nyström Minimum Kernel Risk-Sensitive Loss Based Seamless Control of Grid-Tied PV-Hybrid Energy Storage System." Energies 14, no. 5: 1365.

Journal article
Published: 01 February 2021 in Electronics
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Maglev transportation system is become a hot topic for researchers because of the distinctive advantages, such as frictionless motion, low power consumption, less noise, and being environmentally friendly. The maglev transportation system’s performance gets sufficiently influenced by the control method and the magnetic levitation system’s dynamic performance, which is a critical component of the maglev transportation system. The Magnetic Levitation System (MLS) is a group of unstable, nonlinear, uncertain, and electromagnetically coupled practical application. Control objective of this study is to design a position stabilizing control strategy for Magnetic Levitation system under extreme uncertain parametric conditions using a reference model governed by a reference stabilizer and nonlinear adaptive control structure. After successful tuning the reference stabilizer with and without time-varying payload disturbance, the tracking-error dynamics are obtained in the presence of both matched and mismatched types of parametric uncertainties. Next, the close-loop stability theorem is formulated for Lyapunov stability analysis to get the design constraints, parameter update laws, and adaptive control law. Numerical simulations performed for a high range of parametric violations check the control design’s efficacy. The performance robustness gets confirmed by comparing the results with the nonlinear control approach. The MLS gets performance recovery and settles within safe limits in few seconds using the proposed methodology. However, the nonlinear controller faces permanent failure in stabilizing the MLS.

ACS Style

Nihal Dalwadi; Dipankar Deb; S. Muyeen. A Reference Model Assisted Adaptive Control Structure for Maglev Transportation System. Electronics 2021, 10, 332 .

AMA Style

Nihal Dalwadi, Dipankar Deb, S. Muyeen. A Reference Model Assisted Adaptive Control Structure for Maglev Transportation System. Electronics. 2021; 10 (3):332.

Chicago/Turabian Style

Nihal Dalwadi; Dipankar Deb; S. Muyeen. 2021. "A Reference Model Assisted Adaptive Control Structure for Maglev Transportation System." Electronics 10, no. 3: 332.

Review
Published: 31 December 2020 in Electronics
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In order to meet the electricity needs of domestic or commercial buildings, solar energy is more attractive than other renewable energy sources in terms of its simplicity of installation, less dependence on the field and its economy. It is possible to extract solar energy from photovoltaic (PV) including rooftop, ground-mounted, and building integrated PV systems. Interest in rooftop PV system applications has increased in recent years due to simple installation and not occupying an external area. However, the negative effects of increased PV penetration on the distribution system are troublesome. The power loss, reverse power flow (RPF), voltage fluctuations, voltage unbalance, are causing voltage quality problems in the power network. On the other hand, variations in system frequency, power factor, and harmonics are affecting the power quality. The excessive PV penetration also the root cause of voltage stability and has an adverse effect on protection system. The aim of this article is to extensively examines the impacts of rooftop PV on distribution network and evaluate possible solution methods in terms of the voltage quality, power quality, system protection and system stability. Moreover, it is to present a comparison of the advantages/disadvantages of the solution methods discussed, and an examination of the solution methods in which artificial intelligence, deep learning and machine learning based optimization and techniques are discussed with common methods.

ACS Style

Busra Uzum; Ahmet Onen; Hany M. Hasanien; S. M. Muyeen. Rooftop Solar PV Penetration Impacts on Distribution Network and Further Growth Factors—A Comprehensive Review. Electronics 2020, 10, 55 .

AMA Style

Busra Uzum, Ahmet Onen, Hany M. Hasanien, S. M. Muyeen. Rooftop Solar PV Penetration Impacts on Distribution Network and Further Growth Factors—A Comprehensive Review. Electronics. 2020; 10 (1):55.

Chicago/Turabian Style

Busra Uzum; Ahmet Onen; Hany M. Hasanien; S. M. Muyeen. 2020. "Rooftop Solar PV Penetration Impacts on Distribution Network and Further Growth Factors—A Comprehensive Review." Electronics 10, no. 1: 55.

Journal article
Published: 09 December 2020 in Applied Sciences
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In a photovoltaic (PV)-battery integrated system, the battery undergoes frequent charging and discharging cycles that reduces its operational life and affects its performance considerably. As such, an intelligent power control approach for a PV-battery standalone system is proposed in this paper to improve the reliability of the battery along its operational life. The proposed control strategy works in two regulatory modes: maximum power point tracking (MPPT) mode and battery management system (BMS) mode. The novel controller tracks and harvests the maximum available power from the solar cells under different atmospheric conditions via MPPT scheme. On the other hand, the state of charge (SOC) estimation technique is developed using backpropagation neural network (BPNN) algorithm under BMS mode to manage the operation of the battery storage during charging, discharging, and islanding approaches to prolong the battery lifetime. A case study is demonstrated to confirm the effectiveness of the proposed scheme which shows only 0.082% error for real-world applications. The study discloses that the projected BMS control strategy satisfies the battery-lifetime objective for off-grid PV-battery hybrid systems by avoiding the over-charging and deep-discharging disturbances significantly.

ACS Style

Ohirul Qays; Yonis Buswig; Hazrul Basri; Liton Hossain; Ahmed Abu-Siada; Momtazur Rahman; S. M. Muyeen. An Intelligent Controlling Method for Battery Lifetime Increment Using State of Charge Estimation in PV-Battery Hybrid System. Applied Sciences 2020, 10, 8799 .

AMA Style

Ohirul Qays, Yonis Buswig, Hazrul Basri, Liton Hossain, Ahmed Abu-Siada, Momtazur Rahman, S. M. Muyeen. An Intelligent Controlling Method for Battery Lifetime Increment Using State of Charge Estimation in PV-Battery Hybrid System. Applied Sciences. 2020; 10 (24):8799.

Chicago/Turabian Style

Ohirul Qays; Yonis Buswig; Hazrul Basri; Liton Hossain; Ahmed Abu-Siada; Momtazur Rahman; S. M. Muyeen. 2020. "An Intelligent Controlling Method for Battery Lifetime Increment Using State of Charge Estimation in PV-Battery Hybrid System." Applied Sciences 10, no. 24: 8799.

Journal article
Published: 10 November 2020 in IEEE Access
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The exhaustion of natural energy and oil reserves has initiated the concept of renewable energy systems (RESs). This has expanded the vision of energy sector towards a diversified power grid while introducing the distributed energy resources (DERs) and distributed generation (DG). Though, this diversification is achieved by adding new energy generation sources and a two-way power flow, it opens the channel of production and trading with alternating current (AC) and direct current (DC) energy formats. But DC-based energy, due to its sporadic nature, can be further stored easily by energy storage devices. However, in recent years, a compelling need has arisen to understand the communication systems in distributed generation (DG) for better performance management, control and parallel power transfer. In this article, a bibliographic review on communication systems in distributed generations (DGs) is provided. The study identifies various communication technologies, standards, and protocols used in AC and DC-based DGs. Moreover, it contains the classification of different frameworks and methods involved. The methodology of different approaches and their likely combination are discussed for different types of communication networks. This study also represents useful information for readers, thereby demonstrate the complete life-cycle of digital data in sensors/actuators, transmitter, receiver, filter, decoder for control of DG elements and identifies future challenges as well. A comprehensive list of publications to date are compiled to provide a complete picture of different developments in this area.

ACS Style

Zimran Rafique; Haris M. Khalid; S. M. Muyeen. Communication Systems in Distributed Generation: A Bibliographical Review and Frameworks. IEEE Access 2020, 8, 207226 -207239.

AMA Style

Zimran Rafique, Haris M. Khalid, S. M. Muyeen. Communication Systems in Distributed Generation: A Bibliographical Review and Frameworks. IEEE Access. 2020; 8 ():207226-207239.

Chicago/Turabian Style

Zimran Rafique; Haris M. Khalid; S. M. Muyeen. 2020. "Communication Systems in Distributed Generation: A Bibliographical Review and Frameworks." IEEE Access 8, no. : 207226-207239.

Journal article
Published: 01 November 2020 in Energy Reports
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This paper proposes fractional and integer order sliding mode controllers (SMC) for the high voltage (HV) bridge control in a bidirectional dual active (DAB) converter. The proposed controllers are derived based on nonlinear model of DAB converter and the closed loop stability is ensured using integer and fractional order Lyapunov theorems. Fractional order controllers offer more degree of freedom to adjust the desired response of the system, however the implementation issues of such controllers are rarely explored. Both variants of control schemes are implemented on a DSP control card, and hardware-in-the-loop (HIL) and processor-in-the-loop (PIL) experiments are conducted using rapid control prototyping technique. In order to choose the most suitable robust controller, experimental data for the two performance indices namely robustness and computational resources utilization is compared for both integer and fractional order control schemes. The experimental results demonstrate that the integer order SMC utilizes reduced computational resources as compared to the fractional order SMC. Moreover it is further verified that integer order SMC exhibits comparable robustness as fractional order SMC under all test conditions.

ACS Style

Nasim Ullah; Zaheer Farooq; Taimur Zaman; Irfan Sami; Asier Ibeas; Kuaanan Techato; Shahariar Chowdhury; S.M. Muyeen. A computationally efficient robust voltage control for a single phase dual active bridge. Energy Reports 2020, 6, 3346 -3356.

AMA Style

Nasim Ullah, Zaheer Farooq, Taimur Zaman, Irfan Sami, Asier Ibeas, Kuaanan Techato, Shahariar Chowdhury, S.M. Muyeen. A computationally efficient robust voltage control for a single phase dual active bridge. Energy Reports. 2020; 6 ():3346-3356.

Chicago/Turabian Style

Nasim Ullah; Zaheer Farooq; Taimur Zaman; Irfan Sami; Asier Ibeas; Kuaanan Techato; Shahariar Chowdhury; S.M. Muyeen. 2020. "A computationally efficient robust voltage control for a single phase dual active bridge." Energy Reports 6, no. : 3346-3356.

Journal article
Published: 24 September 2020 in IEEE Access
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The penetration of renewable energy sources on a large scale in conventional electric networks increases exponentially for environmental preservation. However, the increase in RESs leads to some technical problems that include (a) fluctuations in power production, (b) less or no generation units for power balancing, (c) reduced inertia due to RESs decoupling from the conventional grid using converters. Micro-hydro power plants (MHPPs) are emerging as a mature balancing technology and a great alternative to large hydropower plants as they encounter population displacement and many environmental problems. Modern pump storage MHPPs uses a power converter between the grid and machine to control the consumption of power during pumping mode. This power electronic interface loses the ability of the rotating mass of the machine to contribute to the grid inertia by making it independent of the grid frequency. This problem is solved through the control of power converters in such a way that the inertia effect is synthesized termed as synthetic inertia. MHPPs can also be operated in a standalone mode where they are not connected to the grid. This paper reviews control schemes applied in literature for the frequency, voltage, and inertia control, in both the grid-connected and standalone modes. This study starts with the standalone MHPPs, covering the literature review and control structure for voltage and frequency control of standalone MHPPs. Then it presents a detailed operation, control principle, synthetic inertia concepts, and architecture of grid-connected MHPPs. The mathematical formulation of the grid, permanent magnet synchronous generator, synthetic inertia inclusion, and control structures, including direct torque control, virtual synchronous machine, and model predictive control, is also presented. Finally, the paper presents the concluding remarks with the comparative analysis of various control structures to include synthetic inertia, its suitability, and future scope for MHPPs.

ACS Style

Irfan Sami; Nasim Ullah; S. M. Muyeen; Kuaanan Techato; Shahariar Chowdhury; Jong-Suk. Ro. Control Methods for Standalone and Grid Connected Micro-Hydro Power Plants With Synthetic Inertia Frequency Support: A Comprehensive Review. IEEE Access 2020, 8, 176313 -176329.

AMA Style

Irfan Sami, Nasim Ullah, S. M. Muyeen, Kuaanan Techato, Shahariar Chowdhury, Jong-Suk. Ro. Control Methods for Standalone and Grid Connected Micro-Hydro Power Plants With Synthetic Inertia Frequency Support: A Comprehensive Review. IEEE Access. 2020; 8 (99):176313-176329.

Chicago/Turabian Style

Irfan Sami; Nasim Ullah; S. M. Muyeen; Kuaanan Techato; Shahariar Chowdhury; Jong-Suk. Ro. 2020. "Control Methods for Standalone and Grid Connected Micro-Hydro Power Plants With Synthetic Inertia Frequency Support: A Comprehensive Review." IEEE Access 8, no. 99: 176313-176329.

Journal article
Published: 23 September 2020 in IEEE Access
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A novel Peer-to-peer (P2P) energy trading scheme for a Virtual Power Plant (VPP) is proposed by using Smart Contracts on Ethereum Blockchain Platform. The P2P energy trading is the recent trend the power society is keen to adopt carrying out several trial projects as it eases to generate and share the renewable energy sources in a distributed manner inside local community. Blockchain and smart contracts are the up-and-coming phenomena in the scene of the information technology used to be considered as the cutting-edge research topics in power systems. Earlier works on P2P energy trading including and excluding blockchain technology were focused mainly on the optimization algorithm, Information and Communication Technology, and Internet of Things. Therefore, the financial aspects of P2P trading in a VPP framework is focused and in that regard a P2P energy trading mechanism and bidding platform are developed. The proposed scheme is based on public blockchain network and auction is operated by smart contract addressing both cost and security concerns. The smart contract implementation and execution in a VPP framework including bidding, withdrawal, and control modules developments are the salient feature of this work. The proposed architecture is validated using realistic data with the Ethereum Virtual Machine (EVM) environment of Ropsten Test Network.

ACS Style

Serkan Seven; Gang Yao; Ahmet Soran; Ahmet Onen; S. M. Muyeen. Peer-to-Peer Energy Trading in Virtual Power Plant Based on Blockchain Smart Contracts. IEEE Access 2020, 8, 175713 -175726.

AMA Style

Serkan Seven, Gang Yao, Ahmet Soran, Ahmet Onen, S. M. Muyeen. Peer-to-Peer Energy Trading in Virtual Power Plant Based on Blockchain Smart Contracts. IEEE Access. 2020; 8 ():175713-175726.

Chicago/Turabian Style

Serkan Seven; Gang Yao; Ahmet Soran; Ahmet Onen; S. M. Muyeen. 2020. "Peer-to-Peer Energy Trading in Virtual Power Plant Based on Blockchain Smart Contracts." IEEE Access 8, no. : 175713-175726.

Journal article
Published: 15 July 2020 in IEEE Transactions on Power Systems
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Forced oscillation (FO) has recently been detected in actual power systems, e.g., Nordic and Western American power systems. It is reported that the FO is excited by forced disturbances which consist of the frequencies nearly equal to inter-area oscillation frequencies. Although the damping ratio of inter-area mode is well damped, the FO can lead to severe resonance in the system. These major events lead to intensive research in such a problem. Numerous techniques have been successfully applied for FO detection. However, a small number of works have focused on the damping of FOs. Without proper control action for FO, it may lead to instability. In this paper, the proposed power oscillation damper (POD) is designed to simultaneous damping of the FO and inter-area mode. Without the installation of additional PODs, the adaptive control technique is applied to enhance the FO mode along with moving window time. Besides, the event-triggered control strategy is used to activate the functions of the new adaptive POD appropriately. The simulation results are verified in the modified 14-Machine South East Australian (SE-A) power system under various system uncertainties and disturbances.

ACS Style

Tossaporn Surinkaew; Rakibuzzaman Shah; S. M. Muyeen; N. Mithulananthan; Kianoush Emami; Issarachai Ngamroo. Novel Control Design for Simultaneous Damping of Inter-Area and Forced Oscillation. IEEE Transactions on Power Systems 2020, 36, 451 -463.

AMA Style

Tossaporn Surinkaew, Rakibuzzaman Shah, S. M. Muyeen, N. Mithulananthan, Kianoush Emami, Issarachai Ngamroo. Novel Control Design for Simultaneous Damping of Inter-Area and Forced Oscillation. IEEE Transactions on Power Systems. 2020; 36 (1):451-463.

Chicago/Turabian Style

Tossaporn Surinkaew; Rakibuzzaman Shah; S. M. Muyeen; N. Mithulananthan; Kianoush Emami; Issarachai Ngamroo. 2020. "Novel Control Design for Simultaneous Damping of Inter-Area and Forced Oscillation." IEEE Transactions on Power Systems 36, no. 1: 451-463.

Journal article
Published: 04 July 2020 in Energies
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Accurate fault classification and detection for the microgrid (MG) becomes a concern among the researchers from the state-of-art of fault diagnosis as it increases the chance to increase the transient response. The MG frequently experiences a number of shunt faults during the distribution of power from the generation end to user premises, which affects the system reliability, damages the load, and increases the fault line restoration cost. Therefore, a noise-immune and precise fault diagnosis model is required to perform the fast recovery of the unhealthy phases. This paper presents a review on the MG fault diagnosis techniques with their limitations and proposes a novel discrete-wavelet transform (DWT) based probabilistic generative model to explore the precise solution for fault diagnosis of MG. The proposed model is made of multiple layers with a restricted Boltzmann machine (RBM), which enables the model to make the probability reconstruction over its inputs. The individual RBM layer is trained with an unsupervised learning approach where an artificial neural network (ANN) algorithm tunes the model for minimizing the error between the true and predicted class. The effectiveness of the proposed model is studied by varying the input signal and sampling frequencies. A level of considered noise is added with the sample data to test the robustness of the studied model. Results prove that the proposed fault detection and classification model has the ability to perform the precise diagnosis of MG faults. A comparative study among the proposed, kernel extreme learning machine (KELM), multi KELM, and support vector machine (SVM) approaches is studied to confirm the robust superior performance of the proposed model.

ACS Style

Shahriar Rahman Fahim; Subrata K. Sarker; S. M. Muyeen; Rafiqul Islam Sheikh; Sajal K. Das. Microgrid Fault Detection and Classification: Machine Learning Based Approach, Comparison, and Reviews. Energies 2020, 13, 3460 .

AMA Style

Shahriar Rahman Fahim, Subrata K. Sarker, S. M. Muyeen, Rafiqul Islam Sheikh, Sajal K. Das. Microgrid Fault Detection and Classification: Machine Learning Based Approach, Comparison, and Reviews. Energies. 2020; 13 (13):3460.

Chicago/Turabian Style

Shahriar Rahman Fahim; Subrata K. Sarker; S. M. Muyeen; Rafiqul Islam Sheikh; Sajal K. Das. 2020. "Microgrid Fault Detection and Classification: Machine Learning Based Approach, Comparison, and Reviews." Energies 13, no. 13: 3460.

Journal article
Published: 03 July 2020 in International Journal of Electrical Power & Energy Systems
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This paper improves the performance of contribution of photovoltaic (PV) panels to the stabilization of a stand-alone hybrid microgrid during frequency excursions. Recent growth in converter-interfaced topologies and using renewable energy resources has led to decrease in inertia of isolated micro-grids (MGs) and presented some challenges to the frequency control and strength of hybrid ones. One of the effective measures to resolve mentioned problems is to deploy some potential energy resources like PV by considering a small proportion of solar panels’ generation as headroom. In addition, other distributed energy resources (DERs), which can be regarded as ancillary resources, can play an active role in the resiliency of MG’s performance in the low-inertia power systems. To this effective contribution considering some uncertainties of the microgrid parameters like the time constant of the micro-turbine, the time constant of the governor, the speed droop regulation constant as well as the load damping coefficient, an adaptive fuzzy mechanism can be proposed to determine the level of active power injection. Recurrent Adaptive Neuro Fuzzy Inference System (ANFIS) technique trains this non-linear adaptable droop to deal with uncertainties in a reasonable way. In order to ascertain parameters of membership functions in an intelligent way, this droop takes advantage of Artificial Bee Colony (ABC) algorithm based on a multi-objective. The Simulation results verify the robustness and reliability of this flexible fuzzy droop during different operating conditions as well as intermittent nature of renewable energy resources such as wind turbine generators in hybrid micro-grid.

ACS Style

Ahmadreza Abazari; Masoud Babaei; S.M. Muyeen; Innocent Kamwa. Learning adaptive fuzzy droop of PV contribution to frequency excursion of hybrid micro-grid during parameters uncertainties. International Journal of Electrical Power & Energy Systems 2020, 123, 106305 .

AMA Style

Ahmadreza Abazari, Masoud Babaei, S.M. Muyeen, Innocent Kamwa. Learning adaptive fuzzy droop of PV contribution to frequency excursion of hybrid micro-grid during parameters uncertainties. International Journal of Electrical Power & Energy Systems. 2020; 123 ():106305.

Chicago/Turabian Style

Ahmadreza Abazari; Masoud Babaei; S.M. Muyeen; Innocent Kamwa. 2020. "Learning adaptive fuzzy droop of PV contribution to frequency excursion of hybrid micro-grid during parameters uncertainties." International Journal of Electrical Power & Energy Systems 123, no. : 106305.