Harris Hawks Optimization-Based Algorithm for STATCOM Voltage Regulation of Offshore Wind Farm Grid
Ping-Kui Wang,
Yu-Jen Liu,
Jun-Tinn Lin,
Zen-Wei Wang,
Hsu-Chih Cheng,
Bo-Xuan Huang and
Gary W. Chang
Additional contact information
Ping-Kui Wang: Department of Electrical Engineering, National Chung Cheng University, Chia-Yi 621, Taiwan
Yu-Jen Liu: Department of Electrical Engineering, National Chung Cheng University, Chia-Yi 621, Taiwan
Jun-Tinn Lin: Department of Electrical Engineering, National Chung Cheng University, Chia-Yi 621, Taiwan
Zen-Wei Wang: Facility Department, Taiwan Semiconductor Manufacturing Company, Tainan 741, Taiwan
Hsu-Chih Cheng: Department of Electrical Engineering, National Chung Cheng University, Chia-Yi 621, Taiwan
Bo-Xuan Huang: Department of Electrical Engineering, National Chung Cheng University, Chia-Yi 621, Taiwan
Gary W. Chang: Department of Electrical Engineering, National Chung Cheng University, Chia-Yi 621, Taiwan
Energies, 2022, vol. 15, issue 9, 1-24
Abstract:
Wind energy is among the fastest-growing electric energy resources worldwide. As the electric power generated by wind turbines (WTs) varies, the WT-connected bus voltage fluctuates. This paper presents a study on implementing a swarm-based proportional and integral (PI) controller for GTO-STATCOM voltage regulator to mitigate the voltage fluctuation caused by the output variations of an offshore wind farm. The proposed swarm-based algorithm for the PI controller is Harris Hawks Optimization (HHO). Simulation results obtained by the HHO algorithm are compared with three other swarm-based algorithms and show that STATCOM with HHO-based PI controller can effectively regulate the WT-connected bus voltage under different wind power output conditions. It shows that the STATCOM compensation performance of the proposed algorithm is superior to that of the compared solutions in maintaining the stable WT-connected bus voltage.
Keywords: STATCOM; voltage fluctuation; reactive power compensation; swarm intelligence-based optimization algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)
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