Performance Analysis of Student Psychology-Based Optimization for the Frequency Control of Hybrid-Power System
Access to reliable electricity is crucial for rural development and improving the quality of life in remote areas. Standalone photovoltaic PV systems and hybrid power systems HPS are promising solutions for rural electrification. However, frequency stabilization is a critical challenge in such syste...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10230237/ |
| _version_ | 1797689540094197760 |
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| author | Somnath Ganguly Joyti Mudi Vivekananda Mukherjee Tapas Si Saurav Mallik Aimin Li Amal Al-Rasheed Mohamed Abbas Ayman Abdulhammed |
| author_facet | Somnath Ganguly Joyti Mudi Vivekananda Mukherjee Tapas Si Saurav Mallik Aimin Li Amal Al-Rasheed Mohamed Abbas Ayman Abdulhammed |
| author_sort | Somnath Ganguly |
| collection | DOAJ |
| description | Access to reliable electricity is crucial for rural development and improving the quality of life in remote areas. Standalone photovoltaic PV systems and hybrid power systems HPS are promising solutions for rural electrification. However, frequency stabilization is a critical challenge in such systems, and conventional control techniques are inadequate. This work proposes a novel approach to optimize the PID controller gains for the standalone PV-based isolated HPS (IHPS). The student psychology-based optimization algorithm (SPBOA) and quasi-oppositional-based whale optimization algorithm (QOWOA) are employed to enhance the performance of the IHPS models separately. The objective function considered is the integral of time absolute error (ITAE), and the frequency response profile is studied in the presence of the proposed SPBOA and QOWOA-based PID controllers. The results show that the proposed SPBOA outperforms the QOWOA in terms of reducing the ITAE by nearly 5% and minimizing the peak and settling time of the frequency response by 5%-7% in different scenarios. The transient responses of the systems to different input conditions are also analyzed, indicating that both the IHPS-I and IHPS-II models are feasible for remote rural electrification. Overall, the proposed approach offers an efficient solution to optimize the PID controller gains for frequency stabilization in standalone PV and HPS. The results demonstrate the benefits of using the SPBOA and QOWOA algorithms to enhance the performance of the systems, making them suitable for remote rural electrification. |
| first_indexed | 2024-03-12T01:47:02Z |
| format | Article |
| id | doaj.art-11d7d399446d46d19fab1ce9e4d0bb35 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-12T01:47:02Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-11d7d399446d46d19fab1ce9e4d0bb352023-09-08T23:01:44ZengIEEEIEEE Access2169-35362023-01-0111938649388210.1109/ACCESS.2023.330882510230237Performance Analysis of Student Psychology-Based Optimization for the Frequency Control of Hybrid-Power SystemSomnath Ganguly0https://orcid.org/0000-0002-1512-8715Joyti Mudi1Vivekananda Mukherjee2Tapas Si3https://orcid.org/0000-0001-8267-0304Saurav Mallik4https://orcid.org/0000-0003-4107-6784Aimin Li5https://orcid.org/0000-0002-6983-2310Amal Al-Rasheed6https://orcid.org/0000-0002-4775-1798Mohamed Abbas7Ayman Abdulhammed8Department of Electrical Engineering, Bankura Unnayani Institute of Engineering, Bankura, West Bengal, IndiaDepartment of Electrical Engineering, Bankura Unnayani Institute of Engineering, Bankura, West Bengal, IndiaDepartment of Electrical Engineering, Indian Institute Technology (Indian School of Mines), Dhanbad, Jharkhand, IndiaDepartment of Computer Science and Engineering, University of Engineering and Management, Jaipur, Rajasthan, IndiaDepartment of Environmental Epigenetics, Harvard T. H. Chan School of Public Health, Boston, MA, USASchool of Computer Science and Engineering, Xi’an University of Technology, Xi’an, ChinaDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University (PNU), Riyadh, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, King Khalid University, Abha, Saudi ArabiaDepartment of Biochemistry and Hormone, King Fahad Central Hospital, Gizan, Saudi ArabiaAccess to reliable electricity is crucial for rural development and improving the quality of life in remote areas. Standalone photovoltaic PV systems and hybrid power systems HPS are promising solutions for rural electrification. However, frequency stabilization is a critical challenge in such systems, and conventional control techniques are inadequate. This work proposes a novel approach to optimize the PID controller gains for the standalone PV-based isolated HPS (IHPS). The student psychology-based optimization algorithm (SPBOA) and quasi-oppositional-based whale optimization algorithm (QOWOA) are employed to enhance the performance of the IHPS models separately. The objective function considered is the integral of time absolute error (ITAE), and the frequency response profile is studied in the presence of the proposed SPBOA and QOWOA-based PID controllers. The results show that the proposed SPBOA outperforms the QOWOA in terms of reducing the ITAE by nearly 5% and minimizing the peak and settling time of the frequency response by 5%-7% in different scenarios. The transient responses of the systems to different input conditions are also analyzed, indicating that both the IHPS-I and IHPS-II models are feasible for remote rural electrification. Overall, the proposed approach offers an efficient solution to optimize the PID controller gains for frequency stabilization in standalone PV and HPS. The results demonstrate the benefits of using the SPBOA and QOWOA algorithms to enhance the performance of the systems, making them suitable for remote rural electrification.https://ieeexplore.ieee.org/document/10230237/Diesel engine generatorisolated hybrid power systemphotovoltaicproportional-integral-derivativewind turbine generatorquasi-oppositional-based whale optimization algorithm |
| spellingShingle | Somnath Ganguly Joyti Mudi Vivekananda Mukherjee Tapas Si Saurav Mallik Aimin Li Amal Al-Rasheed Mohamed Abbas Ayman Abdulhammed Performance Analysis of Student Psychology-Based Optimization for the Frequency Control of Hybrid-Power System IEEE Access Diesel engine generator isolated hybrid power system photovoltaic proportional-integral-derivative wind turbine generator quasi-oppositional-based whale optimization algorithm |
| title | Performance Analysis of Student Psychology-Based Optimization for the Frequency Control of Hybrid-Power System |
| title_full | Performance Analysis of Student Psychology-Based Optimization for the Frequency Control of Hybrid-Power System |
| title_fullStr | Performance Analysis of Student Psychology-Based Optimization for the Frequency Control of Hybrid-Power System |
| title_full_unstemmed | Performance Analysis of Student Psychology-Based Optimization for the Frequency Control of Hybrid-Power System |
| title_short | Performance Analysis of Student Psychology-Based Optimization for the Frequency Control of Hybrid-Power System |
| title_sort | performance analysis of student psychology based optimization for the frequency control of hybrid power system |
| topic | Diesel engine generator isolated hybrid power system photovoltaic proportional-integral-derivative wind turbine generator quasi-oppositional-based whale optimization algorithm |
| url | https://ieeexplore.ieee.org/document/10230237/ |
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