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Josep M. Guerrero (S’01-M’04-SM’08-FM’15) received a BSc degree in telecommunications engineering, an MSc degree in electronics engineering, and a PhD degree in power electronics from the Technical University of Catalonia, Barcelona, in 1997, 2000, and 2003, respectively. Since 2011, he has been a full professor in the Department of Energy Technology, Aalborg University, Denmark, where he is responsible for the Microgrid Research Program. Since 2014, he has been a chair professor at Shandong University; since 2015, he has been a distinguished guest professor at Hunan University; since 2016, he has been a visiting professor fellow at Aston University, UK, and a guest Professor at the Nanjing University of Posts and Telecommunications. In 2019, he became a Villum Investigator. His research interests are oriented to different microgrid aspects, including microgrid clusters, digital twins, and maritime and space microgrids.
This paper proposes a joint input and state dynamic estimation scheme for power networks in microgrids and active distribution systems with unknown inputs. The conventional dynamic state estimation of power networks in the transmission system relies on the forecasting methods to obtain the state-transition model of state variables. However, under highly dynamic conditions in the operation of microgrids and active distribution networks, this approach may become ineffective as the forecasting accuracy is not guaranteed. To overcome such drawbacks, this paper employs the power networks model derived from the physical equations of branch currents. Specifically, the power network model is a linear state-space model, in which the state vector consists of branch currents, and the input vector consists of bus voltages. To estimate both state and input variables, we propose linear Kalman-based dynamic filtering algorithms in batch-mode regression form, considering the cross-correlation between states and inputs. For the scalability of the proposed scheme, the distributed implementation is also presented. Complementarily, the predicted state and input vectors are leveraged for bad data detection. Results carried out on a 13-bus microgrid system in real-time Opal-RT platform demonstrate the effectiveness of the proposed method in comparison with the traditional weighted least square and tracking state estimation methods.
Bang L.H. Nguyen; Tuyen V. Vu; Joseph M. Guerrero; Mischael Steurer; Karl Schoder; Tuan Ngo. Distributed dynamic state-input estimation for power networks of Microgrids and active distribution systems with unknown inputs. Electric Power Systems Research 2021, 201, 107510 .
AMA StyleBang L.H. Nguyen, Tuyen V. Vu, Joseph M. Guerrero, Mischael Steurer, Karl Schoder, Tuan Ngo. Distributed dynamic state-input estimation for power networks of Microgrids and active distribution systems with unknown inputs. Electric Power Systems Research. 2021; 201 ():107510.
Chicago/Turabian StyleBang L.H. Nguyen; Tuyen V. Vu; Joseph M. Guerrero; Mischael Steurer; Karl Schoder; Tuan Ngo. 2021. "Distributed dynamic state-input estimation for power networks of Microgrids and active distribution systems with unknown inputs." Electric Power Systems Research 201, no. : 107510.
Over-current restriction in converter-interfaced distributed energy resources within a microgrid is a crucial challenging issue, arising from the limited thermal capacity of power electronic switching devices. Available current limiting studies are only concerned with linear balanced loads, exerting poor voltage quality under unbalanced and/or non-linear loads. Moreover, they exhibit sluggish dynamic response, especially under heavy load conditions as well as at load dropouts. This paper proposes a novel control structure in conjunction with a peak detection-based current limiting function for droop-controlled converters with independently controlled neutral leg topology. Furthermore, a finite control set-model predictive control is designed and employed, allowing direct generation of the voltage switching signals, enabling aggregated voltage and current control. An auxiliary sliding mode control-based voltage controller is also utilized to provide reference current for the proposed current limiting strategy. Simulation results are examined on the isolated CIGRE benchmark low voltage microgrid. Comparison results demonstrate the excellent performance of the proposed control structure under various load conditions. Faster and robuster dynamic response and higher voltage quality delivery at output terminals are clearly observed. Lastly, the results are verified by real-time simulations.
Mohammad Hossein Karimi; Seyed Abbas Taher; Josep M. Guerrero. Independent predictive control with current limiting capability of three-phase four-leg inverter-interfaced isolated microgrids. International Journal of Electrical Power & Energy Systems 2021, 134, 107457 .
AMA StyleMohammad Hossein Karimi, Seyed Abbas Taher, Josep M. Guerrero. Independent predictive control with current limiting capability of three-phase four-leg inverter-interfaced isolated microgrids. International Journal of Electrical Power & Energy Systems. 2021; 134 ():107457.
Chicago/Turabian StyleMohammad Hossein Karimi; Seyed Abbas Taher; Josep M. Guerrero. 2021. "Independent predictive control with current limiting capability of three-phase four-leg inverter-interfaced isolated microgrids." International Journal of Electrical Power & Energy Systems 134, no. : 107457.
The heating of the buildings, together with domestic hot water generation, is responsible for half of the total generated heating energy, which consumes half of the final energy demand. Meanwhile, district heating systems are a powerful option to meet this demand, with their significant potential and the experience accumulated over many years. The work described here deals with the conventional and advanced exergy performance assessments of the district heating system, using four different waste heat sources by the exhaust gas potentials of the selected plants (municipal solid waste cogeneration, thermal power, wastewater treatment, and cement production), with the real-time data group based on numerical investigations. The simulated results based on conventional exergy analysis revealed that the priority should be given to heat exchanger (HE)-I, with exergy efficiency values from 0.39 to 0.58, followed by HE-II and the pump with those from 0.48 to 0.78 and from 0.81 to 0.82, respectively. On the other hand, the simulated results based on advanced exergy analysis indicated that the exergy destruction was mostly avoidable for the pump (78.32–78.56%) and mostly unavoidable for the heat exchangers (66.61–97.13%). Meanwhile, the exergy destruction was determined to be mainly originated from the component itself (endogenous), for the pump (97.50–99.45%) and heat exchangers (69.80–91.97%). When the real-time implementation was considered, the functional exergy efficiency of the entire system was obtained to be linearly and inversely proportional to the pipeline length and the average ambient temperature, respectively.
Huseyin Ozcan; Arif Hepbasli; Aysegul Abusoglu; Amjad Anvari-Moghaddam. Advanced Exergy Analysis of Waste-Based District Heating Options through Case Studies. Energies 2021, 14, 4766 .
AMA StyleHuseyin Ozcan, Arif Hepbasli, Aysegul Abusoglu, Amjad Anvari-Moghaddam. Advanced Exergy Analysis of Waste-Based District Heating Options through Case Studies. Energies. 2021; 14 (16):4766.
Chicago/Turabian StyleHuseyin Ozcan; Arif Hepbasli; Aysegul Abusoglu; Amjad Anvari-Moghaddam. 2021. "Advanced Exergy Analysis of Waste-Based District Heating Options through Case Studies." Energies 14, no. 16: 4766.
According to increasing growth of DC loads, DC microgrids (MGs) have an effective role in future power systems. Improvement of power management is one of the important issues in DC MGs. In this paper, in order to provide an accurate power management in standalone low-voltage DC (LVDC) MG, including photovoltaics (PVs) and battery energy storage systems (BESSs), an AC component is superimposed to the output voltage of DC-DC converters by inspecting the frequency droop control of the synchronous generators. In addition, two corrective terms based on the calculation of AC active and reactive powers are added to this AC component, which is named improved frequency droop method (IFDM). Different operating modes for PV system comprising maximum power point tracking (MPPT) and voltage control mode (VCM); and BESS consisting of charge, discharge, and idle are considered in the proposed power management scheme based on the state of charge (SoC) of local BESS. On the other hand, the conventional proportional-integral (PI) controllers in DC-DC converters' control structure present poor transient dynamic performance and low loading level. Hence, fractional order PI (FOPI) controllers are designed by optimization of integral time absolute error (ITAE) criteria. The effectiveness of the proposed FOPI controllers combined with IFDM scheme is evaluated by simulations conducted in MATLAB/SIMULINK software. The FOPI-IFDM approach provides accurate current sharing and better voltage regulation without dependence on communication link in comparison with PI-IFDM under load, line impedance, and solar irradiance variations.
Seyed Mohammad Taher; Zahra Dehghani Arani; Josep M. Guerrero. Fractional order PI control combined with improved frequency droop method for power management in standalone LVDC microgrids. International Transactions on Electrical Energy Systems 2021, e13049 .
AMA StyleSeyed Mohammad Taher, Zahra Dehghani Arani, Josep M. Guerrero. Fractional order PI control combined with improved frequency droop method for power management in standalone LVDC microgrids. International Transactions on Electrical Energy Systems. 2021; ():e13049.
Chicago/Turabian StyleSeyed Mohammad Taher; Zahra Dehghani Arani; Josep M. Guerrero. 2021. "Fractional order PI control combined with improved frequency droop method for power management in standalone LVDC microgrids." International Transactions on Electrical Energy Systems , no. : e13049.
Increasing wind and solar generation in power grids leads to more renewable power curtailments in some periods of time due to the fast and unpredictable variations of their outputs. The utilization of these sources for energy storage can unlock huge potential benefits. Therefore, aiming at minimizing the curtailments of renewable power from the viewpoint of an independent system operator (ISO), in this paper, we propose deep learning-driven optimal sizing and operation of alkaline water electrolyzers (AWE) and battery energy storage systems (BESS). For this purpose, a set of actual renewable power curtailment data of California ISO was fully investigated, and deep learning forecast methods were employed to determine the prediction error and its probability distribution function (PDF). Using the fitted PDF, a set of scenarios was generated and reduced to some accurate and probable ones. Consequently, a two-stage scenario-based stochastic model was proposed to determine the optimal planning of this system, and a penalty variable was defined in the second stage to maximize the utilization of curtailed renewable energy sources (RESs). The learning results showed that the prediction errors were minimized using the gated recurrent unit (GRU) method. It was also shown that 97% of curtailments were utilized using AWEs with annual costs of $233.55 million, which had 63.5% fewer costs than using BESSs. Furthermore, using AWEs reduced operational expenses by 89.1% compared with using BESSs, owing to their operational benefits.
Mohammad H. Shams; Haider Niaz; JongGeol Na; Amjad Anvari-Moghaddam; J. Jay Liu. Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages. Journal of Energy Storage 2021, 41, 103010 .
AMA StyleMohammad H. Shams, Haider Niaz, JongGeol Na, Amjad Anvari-Moghaddam, J. Jay Liu. Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages. Journal of Energy Storage. 2021; 41 ():103010.
Chicago/Turabian StyleMohammad H. Shams; Haider Niaz; JongGeol Na; Amjad Anvari-Moghaddam; J. Jay Liu. 2021. "Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages." Journal of Energy Storage 41, no. : 103010.
By growing interest in hydrogen vehicles (HVs), hydrogen fueling stations (HFSs) that convert electric power to hydrogen to supply HVs have emerged as a new asset for power grids. To safely and consistently supply HFSs with power, the use of microgrids (MGs), including various flexible generation units, is considered to be a reliable choice. This paper proposes a competence MG scheduling model. In this model, an optimal coordination of HFSs with demand response (DR), energy storage systems (ESS), and appropriate multi-market mechanisms is addressed. Also, a reformulated version of a risk-constrained stochastic scheduling (RSS) model is used to minimize the MG operation cost. The uncertainties associated with the real-time market price, renewables, electrical loads, and HVs are handled by considering conservativeness parameters. In this model, linearized AC optimal power flow (ACOPF) equations are included in the mixed-integer linear programming (MILP) problem to satisfy the security of MG operation. The proposed model is examined on a 21-bus MG while considering various case studies. The results show that the operation of HFSs provides a profit of 254.5$/day by selling hydrogen for MG operator. In addition, it is found that developing the HFS technology can reduce the total daily operation costs of MG by up to 9.6%. It is also shown that participation of MG in both day-ahead and real-time markets leads to a reduction of 11.7% in the operating costs. Moreover, we show that employing DR programs leads to operation cost reduction and load flattening during high-demand hours. The security constraints keep the voltage between 0.97 p.u. and 1 p.u and the loss of lines within a reasonable range. Finally, a comprehensive comparison between our perceptive RSS with traditional stochastic scheduling and conservative RSS is carried out to show the effectiveness of the proposed method.
Mohammad MansourLakouraj; Haider Niaz; J. Jay Liu; Pierluigi Siano; Amjad Anvari-Moghaddam. Optimal risk-constrained stochastic scheduling of microgrids with hydrogen vehicles in real-time and day-ahead markets. Journal of Cleaner Production 2021, 318, 128452 .
AMA StyleMohammad MansourLakouraj, Haider Niaz, J. Jay Liu, Pierluigi Siano, Amjad Anvari-Moghaddam. Optimal risk-constrained stochastic scheduling of microgrids with hydrogen vehicles in real-time and day-ahead markets. Journal of Cleaner Production. 2021; 318 ():128452.
Chicago/Turabian StyleMohammad MansourLakouraj; Haider Niaz; J. Jay Liu; Pierluigi Siano; Amjad Anvari-Moghaddam. 2021. "Optimal risk-constrained stochastic scheduling of microgrids with hydrogen vehicles in real-time and day-ahead markets." Journal of Cleaner Production 318, no. : 128452.
The increasing integration of Renewable Energy Resources (RERs) in distribution networks forms the Networked Renewable Energy Resources (NRERs). The cooperative Peer-to-Peer (P2P) control architecture is able to fully exploit the resilience and flexibility of NRERs. This study proposes a multi-agent system to achieve P2P control of NRERs based Internet of Things (IoT). The control system is fully distributed and contains two control layers operated in the agent of each RER. For primary control, a droop control is adopted by each RER-agent for localized power sharing. For secondary control, a distributed diffusion algorithm is proposed for arbitrary power sharing among RERs. The proposed levels communication system is implemented to explain the data exchange between the distribution network system and the cloud server. The local communication level utilizes the Internet Protocol (IP)/Transmission Control Protocol (TCP), and Message Queuing Telemetry Transport (MQTT) is used as the protocol for the global communication level. The effectiveness of the proposed system is validated by numerical simulation with the modified IEEE 9 node test feeder. The controller proposed in this paper achieved savings of 20.65% for the system, 25.99% for photovoltaic, 35.52 for diesel generator, 24.59 for batteries, and 52.34% for power loss.
Bilal Alhasnawi; Basil Jasim; Zain-Aldeen Rahman; Josep Guerrero; M. Esteban. A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources. International Journal of Environmental Research and Public Health 2021, 18, 8146 .
AMA StyleBilal Alhasnawi, Basil Jasim, Zain-Aldeen Rahman, Josep Guerrero, M. Esteban. A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources. International Journal of Environmental Research and Public Health. 2021; 18 (15):8146.
Chicago/Turabian StyleBilal Alhasnawi; Basil Jasim; Zain-Aldeen Rahman; Josep Guerrero; M. Esteban. 2021. "A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources." International Journal of Environmental Research and Public Health 18, no. 15: 8146.
Energy Internet (EI) envisions a future energy system with sustainable concerns of efficiency, economy and environment by achieving flexibility of multi-energy-integrated physical space, digitalization of data-driven cyber space and interaction of customer-aware social space. To systemically understand how EI manages energy, data and information flows, a comprehensive investigation from multi-angle perspectives is presented in this paper. The core building blocks are categorized into three-layered framework: energy-oriented network, communication-oriented network and service-oriented management. Furthermore, this paper provides a multi-disciplinary portrait of today's EI in terms of architecture, technologies, standards, services and platforms. Finally, open issues, future trends and challenges for development of sustainable EI are discussed.
Ying Wu; Yanpeng Wu; Josep M. Guerrero; Juan C. Vasquez. A comprehensive overview of framework for developing sustainable energy internet: From things-based energy network to services-based management system. Renewable and Sustainable Energy Reviews 2021, 150, 111409 .
AMA StyleYing Wu, Yanpeng Wu, Josep M. Guerrero, Juan C. Vasquez. A comprehensive overview of framework for developing sustainable energy internet: From things-based energy network to services-based management system. Renewable and Sustainable Energy Reviews. 2021; 150 ():111409.
Chicago/Turabian StyleYing Wu; Yanpeng Wu; Josep M. Guerrero; Juan C. Vasquez. 2021. "A comprehensive overview of framework for developing sustainable energy internet: From things-based energy network to services-based management system." Renewable and Sustainable Energy Reviews 150, no. : 111409.
A significant challenge for designing a coordinated and effective protection architecture of a microgrid (MG) is the aim of an efficient, reliable, and fast protection scheme for both the grid-connected and islanded modes of operation. To this end, bidirectional power flow, varying short-circuit power, low voltage ride-through (LVRT) capability, and the plug-and-play characteristics of distributed generation units (DGUs), which are key issues in a MG system must be considered; otherwise, a mal-operation of protection devices (PDs) may occur. In this sense, a conventional protection system with a single threshold/setting may not be able to fully protect an MG system. To tackle this challenge, this work presents a comprehensive coordinated adaptive protection scheme for AC MGs that can tune their protection setting according to the system states and the operation mode, and is able to switch the PDs’ setting. In the first step of the proposed adaptive algorithm, an offline setting will be adopted for selective and sensitive fault detection, isolation, and coordination among proposed protective modules. As any change in the system is detected by the proposed algorithm in the online step, a new set of setting for proposed modules will be performed to adapt the settings accordingly. In this way, a new set of settings are adapted to maintain a fast and reliable operation, which covers selective, sensitive, and adaptive requirements. The pickup current (Ip) and time multiple settings (TMS) of directional over-current relays (DOCR), as well as coordinated time delays for the proposed protection scheme for both of the grid-connected and islanded modes of operation, are calculated offline. Then, an online adaptive protection scheme is proposed to detect different fault types in different locations. The simulation results show that the proposed method provides a coordinated reliable solution, which can detect and isolate fault conditions in a fast, selective and coordinated adaptive pattern.
Noor Hussain; Yousef Khayat; Saeed Golestan; Mashood Nasir; Juan Vasquez; Josep Guerrero; Kimmo Kauhaniemi. AC Microgrids Protection: A Digital Coordinated Adaptive Scheme. Applied Sciences 2021, 11, 7066 .
AMA StyleNoor Hussain, Yousef Khayat, Saeed Golestan, Mashood Nasir, Juan Vasquez, Josep Guerrero, Kimmo Kauhaniemi. AC Microgrids Protection: A Digital Coordinated Adaptive Scheme. Applied Sciences. 2021; 11 (15):7066.
Chicago/Turabian StyleNoor Hussain; Yousef Khayat; Saeed Golestan; Mashood Nasir; Juan Vasquez; Josep Guerrero; Kimmo Kauhaniemi. 2021. "AC Microgrids Protection: A Digital Coordinated Adaptive Scheme." Applied Sciences 11, no. 15: 7066.
When the control parameters and operating conditions remain unchanged, it is usually believed that the admittance characteristic of grid-connected inverter is time-invariant. However, considering the effect of frequency-coupling, an abnormal phenomenon is observed in the admittance measurement of the grid-connected inverter: the phase of the off-diagonal elements Y12 and Y21 in the admittance matrix is always changed with time, which presents a time-varying admittance characteristic. To explore this phenomenon, the theoretical analyses based on the traditional frequency-coupling admittance measurement method are made. Because the initial phase of the signal cannot be obtained from FFT in experiments and the disturbance frequency and coupling frequency are different, the phase difference between the two frequency components changes with time. However, the influence is not considered in the traditional frequency-coupling admittance measurement method, which makes the measurement results exhibit the confusing time-varying characteristic. The phenomenon is defined as pseudo-time-varying admittance characteristic in this letter. To accurately measure the admittance characteristic of the grid-connected inverter, a frequency-coupling admittance measurement method based on phase correction is proposed, which corrects the phase of disturbance frequency components and coupling frequency components. Finally, the effectiveness of the proposed measurement method is verified by experiments.
Zhiwei Xie; Wenhua Wu; Yandong Chen; Josep M. Guerrero. Pseudo-Time-Varying Admittance Characteristic of Grid-Connected Inverter and Its Corrected Admittance Measurement Method. IEEE Transactions on Industrial Electronics 2021, PP, 1 -1.
AMA StyleZhiwei Xie, Wenhua Wu, Yandong Chen, Josep M. Guerrero. Pseudo-Time-Varying Admittance Characteristic of Grid-Connected Inverter and Its Corrected Admittance Measurement Method. IEEE Transactions on Industrial Electronics. 2021; PP (99):1-1.
Chicago/Turabian StyleZhiwei Xie; Wenhua Wu; Yandong Chen; Josep M. Guerrero. 2021. "Pseudo-Time-Varying Admittance Characteristic of Grid-Connected Inverter and Its Corrected Admittance Measurement Method." IEEE Transactions on Industrial Electronics PP, no. 99: 1-1.
The enhanced PLL (EPLL) is one of the most famous PLLs in single-phase applications, and a versatile tool for different signal processing applications, especially for the grid synchronization of power converters. Recently, it has been proved that the EPLL has a quite narrow stable zone (compared to its unstable zone) in the positive parameter space from a small-signal point of view. This zone will be even more narrow if maintaining a minimum stability margin is required. This paper aims to modify the EPLL structure to improve its stability margin and, at the same time, make it unconditionally stable in the positive parameter space from a small-signal point of view.
Saeed Golestan; Jose Matas; Abdullah M Abusorrah; Josep M Guerrero. More-stable EPLL. IEEE Transactions on Power Electronics 2021, PP, 1 -1.
AMA StyleSaeed Golestan, Jose Matas, Abdullah M Abusorrah, Josep M Guerrero. More-stable EPLL. IEEE Transactions on Power Electronics. 2021; PP (99):1-1.
Chicago/Turabian StyleSaeed Golestan; Jose Matas; Abdullah M Abusorrah; Josep M Guerrero. 2021. "More-stable EPLL." IEEE Transactions on Power Electronics PP, no. 99: 1-1.
Recently, the penetration of renewable energy sources (RESs) into electrical power systems is witnessing a large attention due to their inexhaustibility, environmental benefits, storage capabilities, lower maintenance and stronger economy, etc. Among these RESs, offshore wind power plants (OWPP) are ones of the most widespread power plants that have emerged with regard to being competitive with other energy technologies. However, the application of power electronic converters (PECs), offshore transmission lines and large substation transformers result in considerable power quality (PQ) issues in grid connected OWPP. Moreover, due to the installation of filters for each OWPP, some other challenges such as voltage and frequency stability arise. In this regard, various customs power devices along with integration control methodologies have been implemented to deal with stated issues. Furthermore, for a smooth and reliable operation of the system, each country established various grid codes. Although various mitigation schemes and related standards for OWPP are documented separately, a comprehensive review covering these aspects has not yet addressed in the literature. The objective of this study is to compare and relate prior as well as latest developments on PQ and stability challenges and their solutions. Low voltage ride through (LVRT) schemes and associated grid codes prevalent for the interconnection of OWPP based power grid have been deliberated. In addition, various PQ issues and mitigation options such as FACTS based filters, DFIG based adaptive and conventional control algorithms, ESS based methods and LVRT requirements have been summarized and compared. Finally, recommendations and future trends for PQ improvement are highlighted at the end.
Syed Wajahat Ali; Muhammad Sadiq; Yacine Terriche; Syed Ahmad Raza Naqvi; Le Quang Nhat Hoang; Muhammad Umair Mutarraf; Mustafa Alrayah Hassan; Guangya Yang; Chun-Lien Su; Josep M. Guerrero. Offshore Wind Farm-Grid Integration: A Review on Infrastructure, Challenges, and Grid Solutions. IEEE Access 2021, 9, 102811 -102827.
AMA StyleSyed Wajahat Ali, Muhammad Sadiq, Yacine Terriche, Syed Ahmad Raza Naqvi, Le Quang Nhat Hoang, Muhammad Umair Mutarraf, Mustafa Alrayah Hassan, Guangya Yang, Chun-Lien Su, Josep M. Guerrero. Offshore Wind Farm-Grid Integration: A Review on Infrastructure, Challenges, and Grid Solutions. IEEE Access. 2021; 9 ():102811-102827.
Chicago/Turabian StyleSyed Wajahat Ali; Muhammad Sadiq; Yacine Terriche; Syed Ahmad Raza Naqvi; Le Quang Nhat Hoang; Muhammad Umair Mutarraf; Mustafa Alrayah Hassan; Guangya Yang; Chun-Lien Su; Josep M. Guerrero. 2021. "Offshore Wind Farm-Grid Integration: A Review on Infrastructure, Challenges, and Grid Solutions." IEEE Access 9, no. : 102811-102827.
In this paper, a novel pulse tripling circuit (PTC) is suggested, to upgrade a polygon autotransformer 12-pulse rectifier (12-PR) to a 36-pulse rectifier (36-PR) with a low power rating. The kVA rating of the proposed PTC is lower compared to the conventional one (about 1.57% of load power). Simulation and experimental test results show that the total harmonic distortion (THD) of the input current of the suggested 36-PR is less than 3%, which meets the IEEE 519 requirements. Also, it is shown that in comparison with other multi-pulse rectifiers (MPR), it is cost-effective, its power factor is near unity and its rating is about 24% of the load rating. Therefore, the proposed 36-PR can be considered as a practical solution for industrial applications.
Rohollah Abdollahi; Gevork B. Gharehpetian; Amjad Anvari-Moghaddam; Frede Blaabjerg. Pulse Tripling Circuit and Twelve Pulse Rectifier Combination for Sinusoidal Input Current. IEEE Access 2021, 9, 103588 -103599.
AMA StyleRohollah Abdollahi, Gevork B. Gharehpetian, Amjad Anvari-Moghaddam, Frede Blaabjerg. Pulse Tripling Circuit and Twelve Pulse Rectifier Combination for Sinusoidal Input Current. IEEE Access. 2021; 9 ():103588-103599.
Chicago/Turabian StyleRohollah Abdollahi; Gevork B. Gharehpetian; Amjad Anvari-Moghaddam; Frede Blaabjerg. 2021. "Pulse Tripling Circuit and Twelve Pulse Rectifier Combination for Sinusoidal Input Current." IEEE Access 9, no. : 103588-103599.
In this paper, the problem of voltage regulation of DC–DC buck converter with unknown constant power load (CPL) and input voltage is addressed. A power shaping controller (PSC) based on the passivity theory is proposed to stabilize this system. In addition, borrowing immersion & invariance (I&I) technique, an observer can be designed to estimate CPL and input voltage simultaneously. By combining PSC with I&I observer, an adaptive control scheme is achieved. Besides, the estimate of the domain of attraction is given to rigorously guarantee the convergence property by virtue of the invariant set theory. Then, the locally asymptotic stability of the closed-loop system is established. Finally, the simulation and experimental results show the effectiveness of the proposed control method.
Wei He; Mohammad Masoud Namazi; Hamid Reza Koofigar; Mohammad Ali Amirian; Josep M. Guerrero. Voltage regulation of buck converter with constant power load: An adaptive power shaping control. Control Engineering Practice 2021, 115, 104891 .
AMA StyleWei He, Mohammad Masoud Namazi, Hamid Reza Koofigar, Mohammad Ali Amirian, Josep M. Guerrero. Voltage regulation of buck converter with constant power load: An adaptive power shaping control. Control Engineering Practice. 2021; 115 ():104891.
Chicago/Turabian StyleWei He; Mohammad Masoud Namazi; Hamid Reza Koofigar; Mohammad Ali Amirian; Josep M. Guerrero. 2021. "Voltage regulation of buck converter with constant power load: An adaptive power shaping control." Control Engineering Practice 115, no. : 104891.
Microgrids are new technologies for integrating renewable energies into power systems. Optimal operation of renewable energy sources in standalone micro-grids is an intensive task due to the continuous variation of their output powers and intermittant nature. This work addresses the optimum operation of an independent microgrid considering the demand response program (DRP). An energy management model with two different scenarios has been proposed to minimize the costs of operation and emissions. Interruptible/curtailable loads are considered in DRPs. Besides, due to the growing concern of the developing efficient optimization methods and algorithms in line with the increasing needs of microgrids, the focus of this study is on using the whale meta-heuristic algorithm for operation management of microgrids. The findings indicate that the whale optimization algorithm outperforms the other known algorithms such as imperialist competitive and genetic algorithms, as well as particle swarm optimization. Furthermore, the results show that the use of DRPS has a significant impact on the costs of operation and emissions.
Mehrdad Tahmasebi; Jagadeesh Pasupuleti; Fatemeh Mohamadian; Mohammad Shakeri; Josep Guerrero; M. Basir Khan; Muhammad Nazir; Amir Safari; Najmeh Bazmohammadi. Optimal Operation of Stand-Alone Microgrid Considering Emission Issues and Demand Response Program Using Whale Optimization Algorithm. Sustainability 2021, 13, 7710 .
AMA StyleMehrdad Tahmasebi, Jagadeesh Pasupuleti, Fatemeh Mohamadian, Mohammad Shakeri, Josep Guerrero, M. Basir Khan, Muhammad Nazir, Amir Safari, Najmeh Bazmohammadi. Optimal Operation of Stand-Alone Microgrid Considering Emission Issues and Demand Response Program Using Whale Optimization Algorithm. Sustainability. 2021; 13 (14):7710.
Chicago/Turabian StyleMehrdad Tahmasebi; Jagadeesh Pasupuleti; Fatemeh Mohamadian; Mohammad Shakeri; Josep Guerrero; M. Basir Khan; Muhammad Nazir; Amir Safari; Najmeh Bazmohammadi. 2021. "Optimal Operation of Stand-Alone Microgrid Considering Emission Issues and Demand Response Program Using Whale Optimization Algorithm." Sustainability 13, no. 14: 7710.
Sliding-mode control (SMC) has been widely used in grid-connected converter system (GCC) systems because of its robustness to parameter variations and external disturbances. However, chattering in SMC may deteriorate the tracking accuracy and can easily excite high-frequency unmodeled dynamics. To solve this problem, this paper presents a fuzzy-fractional-order nonsingular terminal sliding-mode controller (Fuzzy-FONTSMC) for the grid current control of LCL-GCCs. First, the system modeling, design of the integer-order NTSMC controller and state estimation based on the Kalman filter to minimize the sampling sensors are described. Second, the Fuzzy-FONTSMC controller is introduced for optimal fraction-order selection and chattering mitigation, this controller exhibits fast convergence with high tracking accuracy and strong robustness. Finally, the Lyapunov theorem is used to analyze the system stability. Experimental comparisons on a 10-kVA laboratory prototype validate the superior performance and effectiveness of the proposed method under many scenarios.
Bo Long; Pengjie Lu; Kil To Chong; Jose Rodriguez; Josep M. Guerrero. Robust Fuzzy-Fractional-Order Nonsingular Terminal Sliding-Mode Control of An LCL-Type Grid-Connected Converter. IEEE Transactions on Industrial Electronics 2021, PP, 1 -1.
AMA StyleBo Long, Pengjie Lu, Kil To Chong, Jose Rodriguez, Josep M. Guerrero. Robust Fuzzy-Fractional-Order Nonsingular Terminal Sliding-Mode Control of An LCL-Type Grid-Connected Converter. IEEE Transactions on Industrial Electronics. 2021; PP (99):1-1.
Chicago/Turabian StyleBo Long; Pengjie Lu; Kil To Chong; Jose Rodriguez; Josep M. Guerrero. 2021. "Robust Fuzzy-Fractional-Order Nonsingular Terminal Sliding-Mode Control of An LCL-Type Grid-Connected Converter." IEEE Transactions on Industrial Electronics PP, no. 99: 1-1.
To increase the power rating and reduce the cost and complexity of a multi-pulse rectifier (MPR), it is well known that the pulse number must be increased. In some practical cases, a 12-pulse rectifier (12PR) is suggested as a good solution considering its relatively simple structure and low weight. However, 12-pulse rectifiers cannot technically meet the standards of harmonic distortion requirements for some industrial applications, and therefore they must be used along with output filters. Two cost-effective 24-pulse rectifiers (24PRs) are suggested in the article, which consist of a polygon autotransformer 12PR and two pulse doubling circuits (PDCs) at dc link. The first PDC (PDC1) is based on an inter-phase transformer (IPT) with a step-up secondary winding, and the second one (PDC2) is based on an IPT with a step-down secondary winding. To show the advantages of the proposed combinations compared with other solutions, simulation results are used, and also a prototype is implemented to evaluate and verify the simulation results. The simulation and experimental test results show that the total harmonic distortion (%THD) of the input current for the 12PR with PDC1 is less than 3.67%, and the 12PR with PDC2 is less than 1.45%, which meets the IEEE 519 and DO-160G requirements. Also, it is shown that in comparison with other solutions, the proposed two configurations are cost-effective, power factor is near unity, rating is almost 29% of the load rating, and the efficiency is almost 97.5%, which makes them a practical solution for more electric aircraft.
R. Abdollahi; G. B. Gharehpetian; A. Anvari‐Moghaddam; F. Blaabjerg. An improved 24‐pulse rectifier for harmonic mitigation in more electric aircraft. IET Power Electronics 2021, 14, 2007 -2020.
AMA StyleR. Abdollahi, G. B. Gharehpetian, A. Anvari‐Moghaddam, F. Blaabjerg. An improved 24‐pulse rectifier for harmonic mitigation in more electric aircraft. IET Power Electronics. 2021; 14 (11):2007-2020.
Chicago/Turabian StyleR. Abdollahi; G. B. Gharehpetian; A. Anvari‐Moghaddam; F. Blaabjerg. 2021. "An improved 24‐pulse rectifier for harmonic mitigation in more electric aircraft." IET Power Electronics 14, no. 11: 2007-2020.
Mohammad Amin Mirzaei; Mohammad Hemmati; Kazem Zare; Behnam Mohammadi‐Ivatloo; Mehdi Abapour; Mousa Marzband; Reza Razzaghi; Amjad Anvari‐Moghaddam. Network‐constrained rail transportation and power system scheduling with mobile battery energy storage under a multi‐objective two‐stage stochastic programming. International Journal of Energy Research 2021, 1 .
AMA StyleMohammad Amin Mirzaei, Mohammad Hemmati, Kazem Zare, Behnam Mohammadi‐Ivatloo, Mehdi Abapour, Mousa Marzband, Reza Razzaghi, Amjad Anvari‐Moghaddam. Network‐constrained rail transportation and power system scheduling with mobile battery energy storage under a multi‐objective two‐stage stochastic programming. International Journal of Energy Research. 2021; ():1.
Chicago/Turabian StyleMohammad Amin Mirzaei; Mohammad Hemmati; Kazem Zare; Behnam Mohammadi‐Ivatloo; Mehdi Abapour; Mousa Marzband; Reza Razzaghi; Amjad Anvari‐Moghaddam. 2021. "Network‐constrained rail transportation and power system scheduling with mobile battery energy storage under a multi‐objective two‐stage stochastic programming." International Journal of Energy Research , no. : 1.
The concept of DC power distribution has gained interest within the research community in the past years, especially due to the rapid prevalence of solar PVs as a tool for distributed generation in DC microgrids. Various efficiency analyses have been presented for the DC distribution paradigm, in comparison to the AC counterpart, considering a variety of scenarios. However, even after a number of such comparative efficiency studies, there seems to be a disparity in the results of research efforts, wherein a definite verdict is still unavailable. Is DC distribution a more efficient choice as compared to the conventional AC system? A final verdict is absent primarily due to conflicting results. In this regard, system modeling and the assumptions made in different studies play a significant role in affecting the results of the study. The current paper is an attempt to critically observe the modeling and assumptions used in the efficiency studies related to the DC distribution system. Several research efforts are analyzed for their approach toward the system upon which they have performed efficiency studies. Subsequently, the paper proposes a model that may alleviate the shortcomings in earlier research efforts and be able to give a definite verdict regarding the comparative efficiency of DC and AC networks for residential power distribution.
Hasan Gelani; Faizan Dastgeer; Mashood Nasir; Sidra Khan; Josep Guerrero. AC vs. DC Distribution Efficiency: Are We on the Right Path? Energies 2021, 14, 4039 .
AMA StyleHasan Gelani, Faizan Dastgeer, Mashood Nasir, Sidra Khan, Josep Guerrero. AC vs. DC Distribution Efficiency: Are We on the Right Path? Energies. 2021; 14 (13):4039.
Chicago/Turabian StyleHasan Gelani; Faizan Dastgeer; Mashood Nasir; Sidra Khan; Josep Guerrero. 2021. "AC vs. DC Distribution Efficiency: Are We on the Right Path?" Energies 14, no. 13: 4039.
The main objective of this study is to investigate variations and peak values of actual heat demand profiles in a centralized district heating (DH) network. Operational heat data is utilized to discover that almost no weather correlation exists during warm months when supply temperatures exceed 60 °C; thermal inertia of buildings affects their behavior differently in terms of needed space heating; and thermal energy storage (TES) units can be important assets for improving the performance of DH networks. To draw such concluding remarks, two approaches namely scaling design heat demand and the weighted moving average (WMA) are used. Analysis of heat demand profiles reveals that the fourth generation DH (4GDH) shows promise in the Russian context. It is also observed that the discrepancy between the projected and the actual values is 7–14% higher than average, and the variation of temperature in the supply line is 1.5 times that in the return line. Through designing TESs or DH plants using more precise heat demand data, DH operator is able to reduce the energy price by lowering infrastructure costs. By implementing WMA strategies and incorporating advanced control techniques, it is also possible to save 40%–50% energy per year, which results in lower energy fees for the end-users.
Stanislav Chicherin; Amjad Anvari-Moghaddam. Adjusting Heat Demands Using the Operational Data of District Heating Systems. Energy 2021, 235, 121368 .
AMA StyleStanislav Chicherin, Amjad Anvari-Moghaddam. Adjusting Heat Demands Using the Operational Data of District Heating Systems. Energy. 2021; 235 ():121368.
Chicago/Turabian StyleStanislav Chicherin; Amjad Anvari-Moghaddam. 2021. "Adjusting Heat Demands Using the Operational Data of District Heating Systems." Energy 235, no. : 121368.