LAPSE:2023.9618
Published Article
LAPSE:2023.9618
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, Shihong Miao
February 27, 2023
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
communication structure, decentralized frequency regulation, multi-area power system, Optimization
Suggested Citation
Wang Y, Liu C, Han J, Tan H, Ke F, Zhang D, Wei C, Miao S. A Distributed Frequency Regulation Method for Multi-Area Power System Considering Optimization of Communication Structure. (2023). LAPSE:2023.9618
Author Affiliations
Wang Y: State Grid Hubei Electric Power Company Economic & Technology Research Institute, Wuhan 430077, China
Liu C: State Grid Hubei Electric Power Research Institute, Wuhan 430077, China
Han J: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Tan H: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Ke F: State Grid Hubei Electric Power Company Economic & Technology Research Institute, Wuhan 430077, China
Zhang D: State Grid Hubei Electric Power Company Economic & Technology Research Institute, Wuhan 430077, China
Wei C: State Grid Hubei Electric Power Company Economic & Technology Research Institute, Wuhan 430077, China
Miao S: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Journal Name
Energies
Volume
15
Issue
18
First Page
6582
Year
2022
Publication Date
2022-09-08
ISSN
1996-1073
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Original Submission
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PII: en15186582, Publication Type: Journal Article
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LAPSE:2023.9618
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https://doi.org/10.3390/en15186582
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