A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization
A hybrid power system uses many wind turbine generators (WTG) and solar photovoltaics (PV) in isolated small areas. However, the output power of these renewable sources is not constant and can diverge quickly, which has a serious effect on system frequency and the continuity of demand supply. In ord...
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MDPI AG
2017-01-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/10/1/80 |
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| author | Mohammed Elsayed Lotfy Tomonobu Senjyu Mohammed Abdel-Fattah Farahat Amal Farouq Abdel-Gawad Atsuhi Yona |
| author_facet | Mohammed Elsayed Lotfy Tomonobu Senjyu Mohammed Abdel-Fattah Farahat Amal Farouq Abdel-Gawad Atsuhi Yona |
| author_sort | Mohammed Elsayed Lotfy |
| collection | DOAJ |
| description | A hybrid power system uses many wind turbine generators (WTG) and solar photovoltaics (PV) in isolated small areas. However, the output power of these renewable sources is not constant and can diverge quickly, which has a serious effect on system frequency and the continuity of demand supply. In order to solve this problem, this paper presents a new frequency control scheme for a hybrid power system to ensure supplying a high-quality power in isolated areas. The proposed power system consists of a WTG, PV, aqua-electrolyzer (AE), fuel cell (FC), battery energy storage system (BESS), flywheel (FW) and diesel engine generator (DEG). Furthermore, plug-in hybrid electric vehicles (EVs) are implemented at the customer side. A full-order observer is utilized to estimate the supply error. Then, the estimated supply error is considered in a frequency domain. The high-frequency component is reduced by BESS and FW; while the low-frequency component of supply error is mitigated using FC, EV and DEG. Two PI controllers are implemented in the proposed system to control the system frequency and reduce the supply error. The epsilon multi-objective genetic algorithm ( ε -MOGA) is applied to optimize the controllers’ parameters. The performance of the proposed control scheme is compared with that of recent well-established techniques, such as a PID controller tuned by the quasi-oppositional harmony search algorithm (QOHSA). The effectiveness and robustness of the hybrid power system are investigated under various operating conditions. |
| first_indexed | 2024-04-13T01:24:23Z |
| format | Article |
| id | doaj.art-7512331cec5a40de998bf940f9b5162d |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T01:24:23Z |
| publishDate | 2017-01-01 |
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| series | Energies |
| spelling | doaj.art-7512331cec5a40de998bf940f9b5162d2022-12-22T03:08:41ZengMDPI AGEnergies1996-10732017-01-011018010.3390/en10010080en10010080A Frequency Control Approach for Hybrid Power System Using Multi-Objective OptimizationMohammed Elsayed Lotfy0Tomonobu Senjyu1Mohammed Abdel-Fattah Farahat2Amal Farouq Abdel-Gawad3Atsuhi Yona4Department of Electrical Power and Machines, Zagazig University, Zagazig 44519, EgyptDepartment of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, JapanDepartment of Electrical Power and Machines, Zagazig University, Zagazig 44519, EgyptDepartment of Electrical Power and Machines, Zagazig University, Zagazig 44519, EgyptDepartment of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, JapanA hybrid power system uses many wind turbine generators (WTG) and solar photovoltaics (PV) in isolated small areas. However, the output power of these renewable sources is not constant and can diverge quickly, which has a serious effect on system frequency and the continuity of demand supply. In order to solve this problem, this paper presents a new frequency control scheme for a hybrid power system to ensure supplying a high-quality power in isolated areas. The proposed power system consists of a WTG, PV, aqua-electrolyzer (AE), fuel cell (FC), battery energy storage system (BESS), flywheel (FW) and diesel engine generator (DEG). Furthermore, plug-in hybrid electric vehicles (EVs) are implemented at the customer side. A full-order observer is utilized to estimate the supply error. Then, the estimated supply error is considered in a frequency domain. The high-frequency component is reduced by BESS and FW; while the low-frequency component of supply error is mitigated using FC, EV and DEG. Two PI controllers are implemented in the proposed system to control the system frequency and reduce the supply error. The epsilon multi-objective genetic algorithm ( ε -MOGA) is applied to optimize the controllers’ parameters. The performance of the proposed control scheme is compared with that of recent well-established techniques, such as a PID controller tuned by the quasi-oppositional harmony search algorithm (QOHSA). The effectiveness and robustness of the hybrid power system are investigated under various operating conditions.http://www.mdpi.com/1996-1073/10/1/80hybrid power systemfrequency controlsupply balancefull-order observermulti-objective optimization |
| spellingShingle | Mohammed Elsayed Lotfy Tomonobu Senjyu Mohammed Abdel-Fattah Farahat Amal Farouq Abdel-Gawad Atsuhi Yona A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization Energies hybrid power system frequency control supply balance full-order observer multi-objective optimization |
| title | A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization |
| title_full | A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization |
| title_fullStr | A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization |
| title_full_unstemmed | A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization |
| title_short | A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization |
| title_sort | frequency control approach for hybrid power system using multi objective optimization |
| topic | hybrid power system frequency control supply balance full-order observer multi-objective optimization |
| url | http://www.mdpi.com/1996-1073/10/1/80 |
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