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A paradigm shift in power engineering transforms conventional fossil fuel-based power systems gradually into more sustainable and environmentally friendly systems due to more renewable energy source (RES) integration. However, the control structure of high-level RES integrated system becomes complex, and the total system inertia is reduced due to the removal of conventional synchronous generators. Thus, such a system poses serious frequency instabilities due to the high rate of change of frequency (RoCoF). To handle this frequency instability issue, this work proposes an optimized fractional-order proportional integral (FOPI) controller-based superconducting magnetic energy storage (SMES) approach. The proposed FOPI-based SMES technique to support virtual inertia is superior to and more robust than the conventional technique. The FOPI parameters are optimized using the particle swarm optimization (PSO) technique. The SMES is modeled and integrated into the optimally designed FOPI to support the virtual inertia of the system. Fluctuating RESs are considered to show the effectiveness of the proposed approach. Extensive time-domain simulations were carried out in MATLAB Simulink with different load and generation mismatch levels. Systems with different inertia levels were simulated to guarantee the frequency stability of the system with the proposed FOPI-based SMES control technique. Several performance indices, such as overshoot, undershoot, and settling time, were considered in the analysis.
Shafiul Alam; Fahad Al-Ismail; Mohammad Abido. PV/Wind-Integrated Low-Inertia System Frequency Control: PSO-Optimized Fractional-Order PI-Based SMES Approach. Sustainability 2021, 13, 7622 .
AMA StyleShafiul Alam, Fahad Al-Ismail, Mohammad Abido. PV/Wind-Integrated Low-Inertia System Frequency Control: PSO-Optimized Fractional-Order PI-Based SMES Approach. Sustainability. 2021; 13 (14):7622.
Chicago/Turabian StyleShafiul Alam; Fahad Al-Ismail; Mohammad Abido. 2021. "PV/Wind-Integrated Low-Inertia System Frequency Control: PSO-Optimized Fractional-Order PI-Based SMES Approach." Sustainability 13, no. 14: 7622.
Though the Genetic Algorithm (GA) has received considerable attention recently in solving multi-objective optimization problems, inefficiency regarding performance has been reported in applications related to project scheduling. The degradation in efficiency was magnificent in applications of highly epistatic objective functions, including scheduling problems wherein the parameters being optimized are highly correlated. Furthermore, the crossover, being the dominant operator in GA, added significantly to the observed inefficiency for causing violations in the dependency between activities. Unlike GA, the Evolutionary Programming (EP) algorithm employs only a mutation operator which makes it less vulnerable to the dependency violation issue. This study proposes a modified Multi-Objective Evolutionary Programming (MOEP) algorithm to model and solve scheduling problems of multi-mode activities, including time–cost trade-off and finance-based scheduling with resource levelling. The modification involves the implementation of a new mutation operator to accommodate the scheduling problems in hand. Furthermore, the modified MOEP algorithm is benchmarked against the two multi-objective algorithms of SPEA-II and NSGA-II which have been used extensively in the literature to solve project scheduling problems. The results indicated that the modified MOEP algorithm outperformed SPEA-II and NSGA-II in terms of the diversity and quality of the Pareto optimal set.
Mohammad A. Abido; Ashraf Elazouni. Modified multi-objective evolutionary programming algorithm for solving project scheduling problems. Expert Systems with Applications 2021, 183, 115338 .
AMA StyleMohammad A. Abido, Ashraf Elazouni. Modified multi-objective evolutionary programming algorithm for solving project scheduling problems. Expert Systems with Applications. 2021; 183 ():115338.
Chicago/Turabian StyleMohammad A. Abido; Ashraf Elazouni. 2021. "Modified multi-objective evolutionary programming algorithm for solving project scheduling problems." Expert Systems with Applications 183, no. : 115338.
Nowadays, behaving as constant power loads (CPLs), rectifiers and voltage regulators are extensively used in microgrids (MGs). The MG dynamic behavior challenges both stability and control effectiveness in the presence of CPLs. CPLs characteristics such as negative incremental resistance, synchronization, and control loop dynamic with similar frequency range of the inverter disturb severely the MG stability. Additionally, the MG stability problem will be more sophisticated with a high penetration level of CPLs in MGs. The stability analysis becomes more essential especially with high-penetrated CPLs. In this paper, the dynamic stability performance of an MG involving a high penetration level of CPLs is analyzed and investigated. An autonomous MG engaging a number of CPLs and inverter distributed generations (DGs) is modeled and designed using MATLAB. Voltage, current, and power controllers are optimally designed, controlling the inverter DGs output. A power droop controller is implemented to share the output DGs powers. Meanwhile, the current and voltage controllers are employed to control the output voltage and current of all DGs. A phase-locked loop (PLL) is essentially utilized to synchronize the CPLs with the MG. The controller gains of the inverters, CPLs, power sharing control, and PLL are optimally devised using particle swarm optimization (PSO). As a weighted objective function, the error in the DC voltage of the CPL and active power of the DG is minimized in the optimal problem based on the time-domain simulation. Under the presence of high penetrated CPLs, all controllers are coordinately tuned to ensure an enhanced dynamic stability of the MG. The impact of the highly penetrated CPLs on the MG dynamic stability is investigated. To confirm the effectiveness of the proposed technique, different disturbances are applied. The analysis shows that the MG system experiences the instability challenges due to the high penetrated CPLs. The simulation results confirm the effectiveness of the proposed method to improve the MG dynamic stability performance.
Mohamed Hassan; Muhammed Worku; Abdelfattah Eladl; Mohammed Abido. Dynamic Stability Performance of Autonomous Microgrid Involving High Penetration Level of Constant Power Loads. Mathematics 2021, 9, 922 .
AMA StyleMohamed Hassan, Muhammed Worku, Abdelfattah Eladl, Mohammed Abido. Dynamic Stability Performance of Autonomous Microgrid Involving High Penetration Level of Constant Power Loads. Mathematics. 2021; 9 (9):922.
Chicago/Turabian StyleMohamed Hassan; Muhammed Worku; Abdelfattah Eladl; Mohammed Abido. 2021. "Dynamic Stability Performance of Autonomous Microgrid Involving High Penetration Level of Constant Power Loads." Mathematics 9, no. 9: 922.
The high-level penetration of renewable energy sources (RESs) is the main reason for shifting the conventional centralized power system control paradigm into distributed power system control. This massive integration of RESs faces two main problems: complex controller structure and reduced inertia. Since the system frequency stability is directly linked to the system’s total inertia, the renewable integrated system frequency control is badly affected. Thus, a fractional order controller (FOC)-based superconducting magnetic energy storage (SMES) is proposed in this work. The detailed modeling of SMES, FOC, wind, and solar systems, along with the power network, is introduced to facilitate analysis. The FOC-based SMES virtually augments the inertia to stabilize the system frequency in generation and load mismatches. Since the tuning of FOC and SMES controller parameters is challenging due to nonlinearities, the whale optimization algorithm (WOA) is used to optimize the parameters. The optimized FOC-based SMES is tested under fluctuating wind and solar powers. The extensive simulations are carried out using MATLAB Simulink environment considering different scenarios, such as light and high load profile variations, multiple load profile variations, and reduced system inertia. It is observed that the proposed FOC-based SMES improves several performance indices, such as settling time, overshoot, undershoot compared to the conventional technique.
Alam; Majed Alotaibi; Alam; Alamgir Hossain; Shafiullah; Fahad Al-Ismail; Mamun Ur Rashid; Mohammad Abido. High-Level Renewable Energy Integrated System Frequency Control with SMES-Based Optimized Fractional Order Controller. Electronics 2021, 10, 511 .
AMA StyleAlam, Majed Alotaibi, Alam, Alamgir Hossain, Shafiullah, Fahad Al-Ismail, Mamun Ur Rashid, Mohammad Abido. High-Level Renewable Energy Integrated System Frequency Control with SMES-Based Optimized Fractional Order Controller. Electronics. 2021; 10 (4):511.
Chicago/Turabian StyleAlam; Majed Alotaibi; Alam; Alamgir Hossain; Shafiullah; Fahad Al-Ismail; Mamun Ur Rashid; Mohammad Abido. 2021. "High-Level Renewable Energy Integrated System Frequency Control with SMES-Based Optimized Fractional Order Controller." Electronics 10, no. 4: 511.
From a residential point of view, home energy management (HEM) is an essential requirement in order to diminish peak demand and utility tariffs. The integration of renewable energy sources (RESs) together with battery energy storage systems (BESSs) and central battery storage system (CBSS) may promote energy and cost minimization. However, proper home appliance scheduling along with energy storage options is essential to significantly decrease the energy consumption profile and overall expenditure in real-time operation. This paper proposes a cost-effective HEM scheme in the microgrid framework to promote curtailing of energy usage and relevant utility tariff considering both energy storage and renewable sources integration. Usually, the household appliances have different runtime preferences and duration of operation based on user demand. This work considers a simulator designed in the C++ platform to address the domestic customer’s HEM issue based on usages priorities. The positive aspects of merging RESs, BESSs, and CBSSs with the proposed optimal power sharing algorithm (OPSA) are evaluated by considering three distinct case scenarios. Comprehensive analysis of each scenario considering the real-time scheduling of home appliances is conducted to substantiate the efficacy of the outlined energy and cost mitigation schemes. The results obtained demonstrate the effectiveness of the proposed algorithm to enable energy and cost savings up to 37.5% and 45% in comparison to the prevailing methodology.
Mamun Ur Rashid; Majed Alotaibi; Abdul Chowdhury; Muaz Rahman; Shafiul Alam; Alamgir Hossain; Mohammad Abido. Home Energy Management for Community Microgrids Using Optimal Power Sharing Algorithm. Energies 2021, 14, 1060 .
AMA StyleMamun Ur Rashid, Majed Alotaibi, Abdul Chowdhury, Muaz Rahman, Shafiul Alam, Alamgir Hossain, Mohammad Abido. Home Energy Management for Community Microgrids Using Optimal Power Sharing Algorithm. Energies. 2021; 14 (4):1060.
Chicago/Turabian StyleMamun Ur Rashid; Majed Alotaibi; Abdul Chowdhury; Muaz Rahman; Shafiul Alam; Alamgir Hossain; Mohammad Abido. 2021. "Home Energy Management for Community Microgrids Using Optimal Power Sharing Algorithm." Energies 14, no. 4: 1060.
This article presents a novel hybrid control scheme for speed control of Brushless DC (BLDC) motor by simultaneously controlling BLDC motor reference current and inverter DC bus voltage. A fractional-order PID (FOPID) controller is employed to control BLDC motor reference current while a fuzzy logic controller manipulates the inverter DC bus voltage. A modified harmony search (HS) metaheuristic technique is developed for FOPID controller parameters tuning. Three different operating conditions are applied to test the motor, including no-load operation, varying load operation, and varying speed operation to verify the proposed controller’s effectiveness. Furthermore, the proposed hybrid control strategy has been compared to Fuzzy-based and FOPID-based speed control schemes. The obtained results confirm that the proposed control scheme provides better and accurate speed control over a wide range of speeds. Also, the proposed controller decreases the torque ripples under different operating conditions.
M. A Mohammed Eltoum; A. Hussein; M. A. Abido. Hybrid Fuzzy Fractional-Order PID-Based Speed Control for Brushless DC Motor. Arabian Journal for Science and Engineering 2021, 1 -13.
AMA StyleM. A Mohammed Eltoum, A. Hussein, M. A. Abido. Hybrid Fuzzy Fractional-Order PID-Based Speed Control for Brushless DC Motor. Arabian Journal for Science and Engineering. 2021; ():1-13.
Chicago/Turabian StyleM. A Mohammed Eltoum; A. Hussein; M. A. Abido. 2021. "Hybrid Fuzzy Fractional-Order PID-Based Speed Control for Brushless DC Motor." Arabian Journal for Science and Engineering , no. : 1-13.
This paper proposes a hierarchical control law for DC motor fed by DC–DC power Cuk Converter. The control is divided into two parts: Firstly, the property of differential flatness associated with the mathematical model of the DC motor is studied to design a robust control that achieves the task of tracking the reference angular speed trajectory for the motor. It also gives the voltage profile \(\vartheta \) which must be followed by the Cuk converter. The second independent controller, based on cascade control, is proposed for the Cuk converter, which allows the converter output voltage to follow the specified trajectory \(\vartheta \). Sliding mode control is used in the inner loop, whereas proportional integral control is used in the proposed cascade controller’s outer loop. Numerical simulation of the hierarchical control technique is carried out in MATLAB/Simulink, and results under parametric variation show robustness. Finally, a comparison is drawn for speed trajectory tracking by the DC motor coupled with DC–DC buck and Cuk converter to show the performance improvement in case of using Cuk converter for angular speed trajectory tacking of a DC motor.
M. H. Arshad; M. A. Abido. Hierarchical Control of DC Motor Coupled with Cuk Converter Combining Differential Flatness and Sliding Mode Control. Arabian Journal for Science and Engineering 2021, 1 -10.
AMA StyleM. H. Arshad, M. A. Abido. Hierarchical Control of DC Motor Coupled with Cuk Converter Combining Differential Flatness and Sliding Mode Control. Arabian Journal for Science and Engineering. 2021; ():1-10.
Chicago/Turabian StyleM. H. Arshad; M. A. Abido. 2021. "Hierarchical Control of DC Motor Coupled with Cuk Converter Combining Differential Flatness and Sliding Mode Control." Arabian Journal for Science and Engineering , no. : 1-10.
This paper presents a new design of a scattering transformation-based wide-area damping controller for static synchronous series compensator (SSSC) to enhance power system stability in the presence of communication latency. The proposed control approach is comprised of a classical structure in addition to two scattering transformation ports. These ports are inserted between the power system and the wide-area damping controller (WADC) to regulate the signal exchange. Since the WADC is a centralized controller, the time delay imperfections are considered in the design stage. The proposed controller design is formulated as an optimization problem where the controller parameters are optimized using the particle swarm optimization (PSO) algorithm. The proposed controller improves the system damping performance due to the achieved time delay compensation. The proposed controller’s effectiveness is demonstrated by implementing the controller in several case studies under different disturbance scenarios. The proposed controller performance is benchmarked with the classical WADC based on the lead-lag structure. The results confirm the robustness of the proposed WADC against time delay uncertainty. The proposed controller’s efficacy is confirmed to reduce the time delay, resulting in better power system stability.
Ahmed Husham; Alaa El-Din Hussein; Mohammad A. Abido; Innocent Kamwa. Scattering Transformation Based Wide-Area Damping Controller of SSSC Considering Communication Latency. IEEE Access 2021, 9, 15510 -15519.
AMA StyleAhmed Husham, Alaa El-Din Hussein, Mohammad A. Abido, Innocent Kamwa. Scattering Transformation Based Wide-Area Damping Controller of SSSC Considering Communication Latency. IEEE Access. 2021; 9 ():15510-15519.
Chicago/Turabian StyleAhmed Husham; Alaa El-Din Hussein; Mohammad A. Abido; Innocent Kamwa. 2021. "Scattering Transformation Based Wide-Area Damping Controller of SSSC Considering Communication Latency." IEEE Access 9, no. : 15510-15519.
Over the past decade, chaotic systems have found their immense application in different fields, which has led to various generalized, novel, and modified chaotic systems. In this paper, the general jerk equation is combined with a scaled sine map, which has been approximated in terms of a polynomial using Taylor series expansion for exhibiting chaotic behavior. The paper is based on numerical simulation and experimental verification of the system with four control parameters. The proposed system’s chaotic behavior is verified by calculating different chaotic invariants using MATLAB, such as bifurcation diagram, 2-D attractor, Fourier spectra, correlation dimension, and Maximum Lyapunov Exponent (MLE). Experimental verification of the system was carried out using Op-Amps with analog multipliers.
Muhammad Haseeb Arshad; Mahmoud Kassas; Alaa E. Hussein; Mohammad A. Abido. A Simple Technique for Studying Chaos Using Jerk Equation with Discrete Time Sine Map. Applied Sciences 2021, 11, 437 .
AMA StyleMuhammad Haseeb Arshad, Mahmoud Kassas, Alaa E. Hussein, Mohammad A. Abido. A Simple Technique for Studying Chaos Using Jerk Equation with Discrete Time Sine Map. Applied Sciences. 2021; 11 (1):437.
Chicago/Turabian StyleMuhammad Haseeb Arshad; Mahmoud Kassas; Alaa E. Hussein; Mohammad A. Abido. 2021. "A Simple Technique for Studying Chaos Using Jerk Equation with Discrete Time Sine Map." Applied Sciences 11, no. 1: 437.
This paper presents an efficient power management, voltage balancing and grid synchronization control strategy to increase the stability and reliability of distributed energy resources (DERs)-based microgrid. The microgrid is composed of Photovoltaic, Double Fed Induction Generator-based wind and diesel generator with critical and non-critical loads. The system model and the control strategy have been developed in Real Time Digital Simulator. The coordination and power management of the DERs in both grid connected and island operation modes is implemented. One distinct challenge of microgrid operation in island mode is the stable control of frequency. A controller is proposed and implemented in the island mode for the diesel generator equipped with the required inertia to maintain the microgrid rated frequency by operating in the isochronous mode. To restore the microgrid back to the utility, the voltage, frequency and phase angle of the islanded microgrid should match with that of the grid network within specified limits to avoid transient instability. Switched capacitor banks are connected at the point of common coupling to balance the voltage for microgrid synchronization. The CIGRE medium voltage test bench system is used to implement the DERs and their controller. The proposed control approach has potential applications for the complete operation of microgrids by properly controlling the power, voltage and frequency in both grid and island modes. The real time digital simulator results verify the effectiveness and superiority of the proposed control scheme in grid connected, island and grid resynchronization scenarios.
Muhammed Y. Worku; Mohamed A. Hassan; Mohamed A. Abido. Power Management, Voltage Control and Grid Synchronization of Microgrids in Real Time. Arabian Journal for Science and Engineering 2021, 46, 1411 -1429.
AMA StyleMuhammed Y. Worku, Mohamed A. Hassan, Mohamed A. Abido. Power Management, Voltage Control and Grid Synchronization of Microgrids in Real Time. Arabian Journal for Science and Engineering. 2021; 46 (2):1411-1429.
Chicago/Turabian StyleMuhammed Y. Worku; Mohamed A. Hassan; Mohamed A. Abido. 2021. "Power Management, Voltage Control and Grid Synchronization of Microgrids in Real Time." Arabian Journal for Science and Engineering 46, no. 2: 1411-1429.
The smart grid is an unprecedented opportunity to shift the current energy industry into a new era of a modernized network where the power generation, transmission, and distribution are intelligently, responsively, and cooperatively managed through a bi-directional automation system. Although the domains of smart grid applications and technologies vary in functions and forms, they generally share common potentials such as intelligent energy curtailment, efficient integration of Demand Response, Distributed Renewable Generation, and Energy Storage. This paper presents a comprehensive review categorically on the recent advances and previous research developments of the smart grid paradigm over the last two decades. The main intent of the study is to provide an application-focused survey where every category and sub-category herein are thoroughly and independently investigated. The preamble of the paper highlights the concept and the structure of the smart grids. The work presented intensively and extensively reviews the recent advances on the energy data management in smart grids, pricing modalities in a modernized power grid, and the predominant components of the smart grid. The paper thoroughly enumerates the recent advances in the area of network reliability. On the other hand, the reliance on smart cities on advanced communication infrastructure promotes more concerns regarding data integrity. Therefore, the paper dedicates a sub-section to highlight the challenges and the state-of-the-art of cybersecurity. Furthermore, highlighting the emerging developments in the pricing mechanisms concludes the review.
Ibrahim Alotaibi; Mohammed A. Abido; Muhammad Khalid; Andrey V. Savkin. A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources. Energies 2020, 13, 6269 .
AMA StyleIbrahim Alotaibi, Mohammed A. Abido, Muhammad Khalid, Andrey V. Savkin. A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources. Energies. 2020; 13 (23):6269.
Chicago/Turabian StyleIbrahim Alotaibi; Mohammed A. Abido; Muhammad Khalid; Andrey V. Savkin. 2020. "A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources." Energies 13, no. 23: 6269.
Installing capacitors to correct the power factor at particular locations is one way to enhance power system reliability. This paper offers a new formulation to address the issue of optimal placing capacitors. The proposed formulation considers reliability impact, in addition to the transient switching events. This is reflected in the cost minimization objective function, where the reliability calculations are considered to gauge the impact when capacitors are installed in the power system. The formulated problem is solved using genetic algorithm (GA), to minimize costs of capacitor installation, energy loss and failure impact. The new formulation has been examined on a test network for evaluating how effective the proposed approach is. The solution also considers the impact of uncertainties as well as future growth in the system, to ensure that it is optimal. The results evidence that the proposed approach is robust and effective in enhancing system reliability in the face of uncertainties and for future growth.
A. A. Al-Muhanna; M. A. Abido; F. S. Al-Ismail. Assessing Impact of Optimally Placed Power Factor Correction Capacitors Reckoning Transient Switching Events. Arabian Journal for Science and Engineering 2020, 46, 1269 -1277.
AMA StyleA. A. Al-Muhanna, M. A. Abido, F. S. Al-Ismail. Assessing Impact of Optimally Placed Power Factor Correction Capacitors Reckoning Transient Switching Events. Arabian Journal for Science and Engineering. 2020; 46 (2):1269-1277.
Chicago/Turabian StyleA. A. Al-Muhanna; M. A. Abido; F. S. Al-Ismail. 2020. "Assessing Impact of Optimally Placed Power Factor Correction Capacitors Reckoning Transient Switching Events." Arabian Journal for Science and Engineering 46, no. 2: 1269-1277.
Positive and negative sequence based current control strategy is developed for the modular multilevel converter (MMC), which complies with the grid code requirements during the balanced and unbalanced faults at the point of common coupling of AC grids. This research proposes an efficient and simplified current limiting technique to keep the inverter individual phase current at a predefined threshold during faults. In this work, the current controller of the MMC converter is designed based on stationary reference frame while positive sequence synchronous reference frame is used to design the current limiter. The proposed work considers the complete dynamics of permanent magnet synchronous generator (PMSG) and doubly fed induction generator (DFIG) based wind energy. The MMC aggregate model is developed and simulated in Matlab/Simulink. The MMC model is also developed using real-time digital simulation (RTDS). A comparative performance analysis between the proposed and the conventional current limiter is provided where the proposed sequence-based current controller with the current limiter shows promising performance under severe disturbances. Besides grid compliance, the results with the proposed control scheme demonstrate the improvement of low voltage ride-through capability without any violation of converter current and HVDC link voltage limits.
Ismail Hossain; Mohammad A. Abido. Positive-Negative Sequence Current Controller for LVRT Improvement of Wind Farms Integrated MMC-HVDC Network. IEEE Access 2020, 8, 193314 -193339.
AMA StyleIsmail Hossain, Mohammad A. Abido. Positive-Negative Sequence Current Controller for LVRT Improvement of Wind Farms Integrated MMC-HVDC Network. IEEE Access. 2020; 8 (99):193314-193339.
Chicago/Turabian StyleIsmail Hossain; Mohammad A. Abido. 2020. "Positive-Negative Sequence Current Controller for LVRT Improvement of Wind Farms Integrated MMC-HVDC Network." IEEE Access 8, no. 99: 193314-193339.
Modular multilevel converter (MMC)-based VSC system has become attractive around the world for renewable energy integration. Instead of a dynamic braking resistor, this work proposes an active power reduction technique for PV systems to support the fault ride through (FRT) of the MMC-HVDC system. In addition, it develops a battery control strategy to improve transient performance during solar radiation and temperature change due to partial shading of the PV panels. Besides, a control technique for the battery to regulate the surplus energy in the HVDC transmission network is developed. Furthermore, the proposed control scheme optimally integrates solar energy using the modified incremental conductance method. A feedforward controller was employed to create a standalone AC grid. The complete system has been implemented in real-time digital simulation (RTDS). The results confirm the efficacy of active power reduction technique to protect the HVDC link voltage and battery control strategy for the improvement of transient performance during the irradiance and temperature changes. Besides, it improves the low voltage ride-through capability during balanced and unbalanced disturbances at the point of common coupling.
Ismail Hossain; Mohammad A. Abido. Active Power Control of PV-Battery Connected MMC-HVDC System for FRT Support. Applied Sciences 2020, 10, 7186 .
AMA StyleIsmail Hossain, Mohammad A. Abido. Active Power Control of PV-Battery Connected MMC-HVDC System for FRT Support. Applied Sciences. 2020; 10 (20):7186.
Chicago/Turabian StyleIsmail Hossain; Mohammad A. Abido. 2020. "Active Power Control of PV-Battery Connected MMC-HVDC System for FRT Support." Applied Sciences 10, no. 20: 7186.
In this paper, an efficient under frequency control and the energy management of a distributed energy resources (DERs)-based microgrid is presented. The microgrid is composed of a photovoltaic (PV), double-fed induction generator (DFIG)-based wind and diesel generator with critical and non-critical loads. The system model and the control strategy are developed in a real time digital simulator (RTDS). The coordination and power management of the DERs in both grid-connected and islanded operation modes are implemented. During power imbalances and frequency fluctuations caused by fault or islanding, an advanced automatic load shedding control is implemented to regulate and maintain the microgrid frequency at its rated value. One distinct feature implemented for the load shedding operation is that highly unbalanced critical loads are connected to the microgrid. The diesel generator provides the required inertia in the islanded mode to maintain the microgrid rated frequency by operating in the isochronous mode. The International Council on Large Electric Systems (CIGRE) medium voltage (MV) test bench system is used to implement the DERs and their controller. The proposed control approach has potential applications for the complete operation of microgrids by properly controlling the power, voltage and frequency in both grid-connected and island modes. The real time digital simulator results verify the effectiveness and superiority of the proposed control scheme in grid connected, island and fault conditions.
Muhammed Y. Worku; Mohamed Hassan; Mohamed A. Abido. Real Time-Based under Frequency Control and Energy Management of Microgrids. Electronics 2020, 9, 1487 .
AMA StyleMuhammed Y. Worku, Mohamed Hassan, Mohamed A. Abido. Real Time-Based under Frequency Control and Energy Management of Microgrids. Electronics. 2020; 9 (9):1487.
Chicago/Turabian StyleMuhammed Y. Worku; Mohamed Hassan; Mohamed A. Abido. 2020. "Real Time-Based under Frequency Control and Energy Management of Microgrids." Electronics 9, no. 9: 1487.
This paper serves as an overview for sequential learning algorithms for single hidden layer neural nets. Cite as: M. H. Arshad, M. A. Abido. An Overview of Sequential Learning Algorithms for Single Hidden Layer Networks: Current Issues & Future Trends. In this paper, a brief survey of the commonly used sequential-learning algorithms used with single hidden layer feed-forward neural networks is presented. A glimpse at the different kinds that are available in the literature up until now, how they have developed throughout the years, and their relative execution is summarized. Most important things to take note of during the designing phase of neural networks are its complexity, computational efficiency, maximum training time, and ability to generalize the under-study problem. The comparison of different sequential learning algorithms in regard to these merits for single hidden layer neural networks is drawn.
Muhammad Haseeb Arshad; M. A. Abido. An Overview of Sequential Learning Algorithms for Single Hidden Layer Networks: Current Issues & Future Trends. 2020, 1 .
AMA StyleMuhammad Haseeb Arshad, M. A. Abido. An Overview of Sequential Learning Algorithms for Single Hidden Layer Networks: Current Issues & Future Trends. . 2020; ():1.
Chicago/Turabian StyleMuhammad Haseeb Arshad; M. A. Abido. 2020. "An Overview of Sequential Learning Algorithms for Single Hidden Layer Networks: Current Issues & Future Trends." , no. : 1.
This paper serves as an overview for sequential learning algorithms for single hidden layer neural nets. Cite as: M. H. Arshad, M. A. Abido. An Overview of Sequential Learning Algorithms for Single Hidden Layer Networks: Current Issues & Future Trends. In this paper, a brief survey of the commonly used sequential-learning algorithms used with single hidden layer feed-forward neural networks is presented. A glimpse at the different kinds that are available in the literature up until now, how they have developed throughout the years, and their relative execution is summarized. Most important things to take note of during the designing phase of neural networks are its complexity, computational efficiency, maximum training time, and ability to generalize the under-study problem. The comparison of different sequential learning algorithms in regard to these merits for single hidden layer neural networks is drawn.
Muhammad Haseeb Arshad; M. A. Abido. An Overview of Sequential Learning Algorithms for Single Hidden Layer Networks: Current Issues & Future Trends. 2020, 1 .
AMA StyleMuhammad Haseeb Arshad, M. A. Abido. An Overview of Sequential Learning Algorithms for Single Hidden Layer Networks: Current Issues & Future Trends. . 2020; ():1.
Chicago/Turabian StyleMuhammad Haseeb Arshad; M. A. Abido. 2020. "An Overview of Sequential Learning Algorithms for Single Hidden Layer Networks: Current Issues & Future Trends." , no. : 1.
Modular multilevel converter (MMC) based HVDC system for renewable energy integration has attracted the researcher’s interest nowadays. This paper proposes a control strategy for MMC based multiterminal HVDC system for grid integration of squirrel cage induction generator (SCIG) based wind energy systems. Unlike the average model, this work models the MMC using the aggregate model and develops multiterminal HVDC transmission network in MATLAB/Simulink. It further develops the MMC multiterminal HVDC transmission network in real time digital simulator (RTDS). Instead of simplified current source, the proposed network considers the complete dynamics of SCIG based wind source from generation to integration. It employs field-oriented control for optimum wind energy tracking and forms isolated AC grids using feed forward controller. The proposed MMC controller performance has been tested under severe balanced and unbalanced disturbances. The results from aggregate model based MMC network in MATLAB/Simulink and those of the experimental MMC network in RTDS are in full agreement. The results confirm optimum wind energy tracking, fulfill grid code requirements, and improve low voltage ride through capability.
Ismail Hossain; Mohammad A. Abido. SCIG Based Wind Energy Integrated Multiterminal MMC-HVDC Transmission Network. Sustainability 2020, 12, 3622 .
AMA StyleIsmail Hossain, Mohammad A. Abido. SCIG Based Wind Energy Integrated Multiterminal MMC-HVDC Transmission Network. Sustainability. 2020; 12 (9):3622.
Chicago/Turabian StyleIsmail Hossain; Mohammad A. Abido. 2020. "SCIG Based Wind Energy Integrated Multiterminal MMC-HVDC Transmission Network." Sustainability 12, no. 9: 3622.
Luqman S. Maraaba; Abdulaziz S. Milhem; Ibrahim A. Nemer; Hussain Al-Duwaish; M. A. Abido. Convolutional Neural Network-Based Inter-Turn Fault Diagnosis in LSPMSMs. IEEE Access 2020, 8, 81960 -81970.
AMA StyleLuqman S. Maraaba, Abdulaziz S. Milhem, Ibrahim A. Nemer, Hussain Al-Duwaish, M. A. Abido. Convolutional Neural Network-Based Inter-Turn Fault Diagnosis in LSPMSMs. IEEE Access. 2020; 8 ():81960-81970.
Chicago/Turabian StyleLuqman S. Maraaba; Abdulaziz S. Milhem; Ibrahim A. Nemer; Hussain Al-Duwaish; M. A. Abido. 2020. "Convolutional Neural Network-Based Inter-Turn Fault Diagnosis in LSPMSMs." IEEE Access 8, no. : 81960-81970.
Voltage source converter (VSC)-based multiterminal high-voltage direct current (HVDC) systems received widespread attention throughout the world for grid integration of renewable energy resources in recent years. This paper presents a comparative performance analysis of different VSC-based outer control and inner current controllers for the multiterminal HVDC system. It employs either lead-lag (LL) or proportional–integral (PI) controllers for outer DC link voltage control, whereas it uses PI or model predictive controllers (MPCs) for inner current control. Hence, it designs four combinations of controllers (LL–MPC, LL–PI, PI–MPC, and PI–PI) to control the outer DC link voltage and inner current of the VSC-based multiterminal HVDC system. Besides, it proposes an integral time squared-error (ITSE)-based optimization technique to tune the parameters of the employed PI controllers that selects optimal parameters at minimum ITSE under extreme operating condition. The combination of the mentioned controllers forms the main control unit of the multiterminal HVDC transmission network for regulation of the DC link voltage and the power flow. Moreover, this article evaluates the controller performance in terms of maximum overshoot, steady-state error, settling time, rise time, and total harmonic distortion. It implements the proposed controllers in a typical VSC-HVDC system and multiterminal HVDC transmission system in MATLAB/SIMULINK platform. Presented results confirm the efficacy of the four-type controllers. The optimized PI–MPC controller provides overall better performance relative to other controllers.
Ismail Hossain; Shafiullah; Mohammad Abido. VSC Controllers for Multiterminal HVDC Transmission System: A Comparative Study. Arabian Journal for Science and Engineering 2020, 45, 6411 -6422.
AMA StyleIsmail Hossain, Shafiullah, Mohammad Abido. VSC Controllers for Multiterminal HVDC Transmission System: A Comparative Study. Arabian Journal for Science and Engineering. 2020; 45 (8):6411-6422.
Chicago/Turabian StyleIsmail Hossain; Shafiullah; Mohammad Abido. 2020. "VSC Controllers for Multiterminal HVDC Transmission System: A Comparative Study." Arabian Journal for Science and Engineering 45, no. 8: 6411-6422.