A Hybrid Sparrow Search Optimized Fractional Virtual Inertia Control for Frequency Regulation of Multi-Microgrid System
This paper introduces a robust approach, integrating a Virtual Inertia Controller (VIC) with a modified demand response controller for an islanded Multi-Microgrid (MMG) system, accommodating high levels of Renewable Energy Sources (RESs). In these MGs, the low inertia in the system has an undesirabl...
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my.uniten.dspace-371262025-03-03T15:47:45Z A Hybrid Sparrow Search Optimized Fractional Virtual Inertia Control for Frequency Regulation of Multi-Microgrid System Fadheel B.A. Wahab N.I.A. Manoharan P. Mahdi A.J. Radzi M.A.B.M. Soh A.B.C. Ridha H.M. Alsoud A.R. Veerasamy V. Irudayaraj A.X.R. Alemu B.D. 57204805471 24448826700 57191413142 39262098300 57202803173 35777004900 59513348300 55711826000 57201719362 57216703079 57222297612 Electric control equipment Electric frequency control Electric load management Electric power system control Frequency domain analysis Optimization Press load control Proportional control systems Time domain analysis Two term control systems Demand response Demand response control Fluctuation Frequency control HOMER Hybrid optimization algorithm Load management Load-frequency control Microgrid Microgrid systems Power systems stability Renewable energy source Response control Stability analyze Steady state Systems operation Time-domain analysis Time-frequency Analysis Virtual inertia control Controllers This paper introduces a robust approach, integrating a Virtual Inertia Controller (VIC) with a modified demand response controller for an islanded Multi-Microgrid (MMG) system, accommodating high levels of Renewable Energy Sources (RESs). In these MGs, the low inertia in the system has an undesirable impact on the stability of MG frequency. As a result, it leads to a weakening of the MGs overall performance. A novel fractional derivative virtual inertia is integrated into the VIC loop to address this issue. This enhancement aims to fortify the MG's stability and robust performance, particularly when facing contingencies. Furthermore, a modified demand response controller has been incorporated into the proposed inertia control technique to mitigate the frequency fluctuations and reduce stress on the energy storage system (ESS). Fractional Order Proportional Integral Derivative (FOPID) controllers have been employed to regulate the active power output of the biodiesel generators and the Geothermal station in the MG. The hybrid sparrow search and mountain gazelle optimizer algorithm (SSAMGO) optimizes the parameters for the three-loop controller. Time-domain simulations assess the effectiveness of proposed controllers in enhancing system frequency stability. SSAMGO's performance was comprehensively evaluated, comparing it to various optimization algorithms in diverse scenarios. The results obtained from the MMG system demonstrate that utilizing the proposed controller technique, optimized with hybrid SSAMGO parameters, yields notable improvements in settling time by 24.68%, 46.20%, 7.52%, and 61.01%, steady-state error values by 72.56%, 98.18%, 98.73%, and 6.67%, undershoot by 105.76%, 144.23%, 19.23%, and 7.69% compared to other state-of-the-art algorithms presented in the literature. Finally, the proposed control technique's effectiveness and robustness are assessed in comparison to conventional inertia control across various system scenarios. These scenarios encompass random load demand fluctuations, real-time changes in RES, and a wide spectrum of system operations, including situations with reduced damping and inertia and high levels of load variation. ? 2013 IEEE. Final 2025-03-03T07:47:45Z 2025-03-03T07:47:45Z 2024 Article 10.1109/ACCESS.2024.3376468 2-s2.0-85188456588 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188456588&doi=10.1109%2fACCESS.2024.3376468&partnerID=40&md5=dd05a7fe5f9b82136ad21fedd9d15ee7 https://irepository.uniten.edu.my/handle/123456789/37126 12 45879 45903 All Open Access; Gold Open Access Institute of Electrical and Electronics Engineers Inc. Scopus |
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Electric control equipment Electric frequency control Electric load management Electric power system control Frequency domain analysis Optimization Press load control Proportional control systems Time domain analysis Two term control systems Demand response Demand response control Fluctuation Frequency control HOMER Hybrid optimization algorithm Load management Load-frequency control Microgrid Microgrid systems Power systems stability Renewable energy source Response control Stability analyze Steady state Systems operation Time-domain analysis Time-frequency Analysis Virtual inertia control Controllers |
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Electric control equipment Electric frequency control Electric load management Electric power system control Frequency domain analysis Optimization Press load control Proportional control systems Time domain analysis Two term control systems Demand response Demand response control Fluctuation Frequency control HOMER Hybrid optimization algorithm Load management Load-frequency control Microgrid Microgrid systems Power systems stability Renewable energy source Response control Stability analyze Steady state Systems operation Time-domain analysis Time-frequency Analysis Virtual inertia control Controllers Fadheel B.A. Wahab N.I.A. Manoharan P. Mahdi A.J. Radzi M.A.B.M. Soh A.B.C. Ridha H.M. Alsoud A.R. Veerasamy V. Irudayaraj A.X.R. Alemu B.D. A Hybrid Sparrow Search Optimized Fractional Virtual Inertia Control for Frequency Regulation of Multi-Microgrid System |
| description |
This paper introduces a robust approach, integrating a Virtual Inertia Controller (VIC) with a modified demand response controller for an islanded Multi-Microgrid (MMG) system, accommodating high levels of Renewable Energy Sources (RESs). In these MGs, the low inertia in the system has an undesirable impact on the stability of MG frequency. As a result, it leads to a weakening of the MGs overall performance. A novel fractional derivative virtual inertia is integrated into the VIC loop to address this issue. This enhancement aims to fortify the MG's stability and robust performance, particularly when facing contingencies. Furthermore, a modified demand response controller has been incorporated into the proposed inertia control technique to mitigate the frequency fluctuations and reduce stress on the energy storage system (ESS). Fractional Order Proportional Integral Derivative (FOPID) controllers have been employed to regulate the active power output of the biodiesel generators and the Geothermal station in the MG. The hybrid sparrow search and mountain gazelle optimizer algorithm (SSAMGO) optimizes the parameters for the three-loop controller. Time-domain simulations assess the effectiveness of proposed controllers in enhancing system frequency stability. SSAMGO's performance was comprehensively evaluated, comparing it to various optimization algorithms in diverse scenarios. The results obtained from the MMG system demonstrate that utilizing the proposed controller technique, optimized with hybrid SSAMGO parameters, yields notable improvements in settling time by 24.68%, 46.20%, 7.52%, and 61.01%, steady-state error values by 72.56%, 98.18%, 98.73%, and 6.67%, undershoot by 105.76%, 144.23%, 19.23%, and 7.69% compared to other state-of-the-art algorithms presented in the literature. Finally, the proposed control technique's effectiveness and robustness are assessed in comparison to conventional inertia control across various system scenarios. These scenarios encompass random load demand fluctuations, real-time changes in RES, and a wide spectrum of system operations, including situations with reduced damping and inertia and high levels of load variation. ? 2013 IEEE. |
| author2 |
57204805471 |
| author_facet |
57204805471 Fadheel B.A. Wahab N.I.A. Manoharan P. Mahdi A.J. Radzi M.A.B.M. Soh A.B.C. Ridha H.M. Alsoud A.R. Veerasamy V. Irudayaraj A.X.R. Alemu B.D. |
| format |
Article |
| author |
Fadheel B.A. Wahab N.I.A. Manoharan P. Mahdi A.J. Radzi M.A.B.M. Soh A.B.C. Ridha H.M. Alsoud A.R. Veerasamy V. Irudayaraj A.X.R. Alemu B.D. |
| author_sort |
Fadheel B.A. |
| title |
A Hybrid Sparrow Search Optimized Fractional Virtual Inertia Control for Frequency Regulation of Multi-Microgrid System |
| title_short |
A Hybrid Sparrow Search Optimized Fractional Virtual Inertia Control for Frequency Regulation of Multi-Microgrid System |
| title_full |
A Hybrid Sparrow Search Optimized Fractional Virtual Inertia Control for Frequency Regulation of Multi-Microgrid System |
| title_fullStr |
A Hybrid Sparrow Search Optimized Fractional Virtual Inertia Control for Frequency Regulation of Multi-Microgrid System |
| title_full_unstemmed |
A Hybrid Sparrow Search Optimized Fractional Virtual Inertia Control for Frequency Regulation of Multi-Microgrid System |
| title_sort |
hybrid sparrow search optimized fractional virtual inertia control for frequency regulation of multi-microgrid system |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2025 |
| _version_ |
1825816084356268032 |
| score |
13.244109 |