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Open AccessArticle

A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization

1
Department of Electrical Power and Machines, Zagazig University, Zagazig 44519, Egypt
2
Department of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Ying-Yi Hong
Energies 2017, 10(1), 80; https://doi.org/10.3390/en10010080
Received: 9 November 2016 / Revised: 25 December 2016 / Accepted: 29 December 2016 / Published: 11 January 2017
(This article belongs to the Special Issue Electric Power Systems Research 2017)
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. View Full-Text
Keywords: hybrid power system; frequency control; supply balance; full-order observer; multi-objective optimization hybrid power system; frequency control; supply balance; full-order observer; multi-objective optimization
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MDPI and ACS Style

Lotfy, M.E.; Senjyu, T.; Farahat, M.A.-F.; Abdel-Gawad, A.F.; Yona, A. A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization. Energies 2017, 10, 80. https://doi.org/10.3390/en10010080

AMA Style

Lotfy ME, Senjyu T, Farahat MA-F, Abdel-Gawad AF, Yona A. A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization. Energies. 2017; 10(1):80. https://doi.org/10.3390/en10010080

Chicago/Turabian Style

Lotfy, Mohammed E.; Senjyu, Tomonobu; Farahat, Mohammed A.-F.; Abdel-Gawad, Amal F.; Yona, Atsuhi. 2017. "A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization" Energies 10, no. 1: 80. https://doi.org/10.3390/en10010080

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