A Distributed Frequency Regulation Method for Multi-Area Power System Considering Optimization of Communication Structure

Yicong Wang, Chang Liu, Ji Han (), Haoyu Tan, Fangchao Ke, Dongyin Zhang, Cong Wei and Shihong Miao
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Yicong Wang: State Grid Hubei Electric Power Company Economic & Technology Research Institute, Wuhan 430077, China
Chang Liu: State Grid Hubei Electric Power Research Institute, Wuhan 430077, China
Ji Han: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Haoyu Tan: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Fangchao Ke: State Grid Hubei Electric Power Company Economic & Technology Research Institute, Wuhan 430077, China
Dongyin Zhang: State Grid Hubei Electric Power Company Economic & Technology Research Institute, Wuhan 430077, China
Cong Wei: State Grid Hubei Electric Power Company Economic & Technology Research Institute, Wuhan 430077, China
Shihong Miao: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Energies, 2022, vol. 15, issue 18, 1-18

Abstract: Nowadays, the influences of the communication structure on the frequency regulation performance in a multi-area power system are barely studied. In this paper, a decentralized frequency regulation method for a multi-area power system considering optimization of communication structure is presented, and the influence of the communication structure on the frequency regulation performance is studied. Firstly, the communication network model is described and the multi-area power system model considering communication structure is presented. Then, the optimization model of communication structure during a decentralized frequency regulation process is constructed. This model aims to speed up the convergence speed of the control together with ensuring the high algebraic connectivity of the communication structure. Quantum binary particle swarm optimization (QB-PSO) algorithm is introduced to solve this model and, based on this, the communication structure optimization process and frequency regulation method are proposed. The simulation results show that the proposed method could greatly improve the frequency control efficiency through the optimization of the communication structure.

Keywords: decentralized frequency regulation; multi-area power system; communication structure; optimization (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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