Fractional Order PID Optimal Control Method of Regional Load Frequency Containing Pumped Storage Plants
Xundong Gong,
Kejun Yang,
Xiaofeng Dong,
Xuelei Jiang,
Dewen Liu and
Zhao Luo ()
Additional contact information
Xundong Gong: State Grid Suzhou Power Supply Company, Suzhou 215004, China
Kejun Yang: Anhui Nari Jiyuan Power Grid Technology Corporation, Hefei 230088, China
Xiaofeng Dong: State Grid Suzhou Power Supply Company, Suzhou 215004, China
Xuelei Jiang: State Grid Suzhou Power Supply Company, Suzhou 215004, China
Dewen Liu: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Zhao Luo: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Energies, 2023, vol. 16, issue 4, 1-13
Abstract:
The pumped storage unit has good adjustment characteristics of a fast power response and convenient start and stop, which provides support for the safe and stable operation of the power system. To this end, this paper proposes a fractional order PID (FOPID) optimization control method for the regional load frequency of pumped-storage power plants. Specifically, based on IEEE standards, this paper established a single-region model of pumped storage. Then, a fractional order PID (FOPID) controller was designed, and the parameters of the controller were optimized via using the chaos particle swarm optimization (CPSO) algorithm. The effectiveness of the proposed method is verified by example simulation in the two-zone model of the pumped storage based on IEEE standards. The results of the example show that the proposed method exhibits stronger robustness and stability in the regional load frequency control.
Keywords: pumped storage plants; fractional order PID (FOPID); chaotic particle swarm optimization; load frequency control (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: 2023
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