LAPSE:2019.0741
Published Article
LAPSE:2019.0741
A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization
Mohammed Elsayed Lotfy, Tomonobu Senjyu, Mohammed Abdel-Fattah Farahat, Amal Farouq Abdel-Gawad, Atsuhi Yona
July 26, 2019
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.
Keywords
frequency control, full-order observer, hybrid power system, multi-objective optimization, supply balance
Suggested Citation
Lotfy ME, Senjyu T, Farahat MAF, Abdel-Gawad AF, Yona A. A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization. (2019). LAPSE:2019.0741
Author Affiliations
Lotfy ME: Department of Electrical Power and Machines, Zagazig University, Zagazig 44519, Egypt; Department of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, Japan [ORCID]
Senjyu T: Department of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, Japan
Farahat MAF: Department of Electrical Power and Machines, Zagazig University, Zagazig 44519, Egypt
Abdel-Gawad AF: Department of Electrical Power and Machines, Zagazig University, Zagazig 44519, Egypt
Yona A: Department of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, Japan
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Journal Name
Energies
Volume
10
Issue
1
Article Number
E80
Year
2017
Publication Date
2017-01-11
Published Version
ISSN
1996-1073
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Original Submission
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PII: en10010080, Publication Type: Journal Article
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LAPSE:2019.0741
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doi:10.3390/en10010080
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Jul 26, 2019
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CC BY 4.0
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Jul 26, 2019
 
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Calvin Tsay
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