A Grid-Wide Comprehensive Evaluation Method of Power Quality Based on Complex Network Theory

Yang Xiang, Yan Lin, Yan Zhang, Jinchen Lan, Meimei Hao, Lianhui Wang, Jiang Wang and Liang Qin ()
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Yang Xiang: Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy, Wuhan 430072, China
Yan Lin: Electric Power Research Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350007, China
Yan Zhang: State Grid Fujian Electric Power Co., Ltd., Fuzhou 350007, China
Jinchen Lan: Electric Power Research Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350007, China
Meimei Hao: State Grid Fujian Electric Power Co., Ltd., Fuzhou 350007, China
Lianhui Wang: State Grid Fujian Electric Power Co., Ltd., Fuzhou 350007, China
Jiang Wang: Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy, Wuhan 430072, China
Liang Qin: Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy, Wuhan 430072, China

Energies, 2024, vol. 17, issue 13, 1-19

Abstract: To achieve a hierarchical and quantitative evaluation of grid-wide power quality in the distribution network, reflecting the overall power quality level of the distribution network, a comprehensive evaluation method for power quality in a grid-wide system based on complex network theory is proposed. Firstly, based on the propagation characteristics of power quality disturbances, a power quality evaluation index system is constructed. Secondly, to reflect the constraint effect of the local power quality level of nodes on the overall power quality level of the distribution system, corresponding indices such as improved node degree, improved node electrical betweenness, and node self-healing capability are proposed based on complex network theory, and the power quality influence degree of nodes is calculated. Then, the GRA-ANP (Grey Relational Analysis–Analytic Network Process) subjective weight calculation method is improved by introducing grey relational analysis to address the impact of differences in different decision-making results. Based on power quality monitoring data, the entropy weight method is used for objective weighting. To avoid the partiality of a single weight evaluation result, the game equilibrium algorithm is employed to calculate the comprehensive weight of each power quality index. Subsequently, considering the correlation and dependency among indices, the VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) method is used to obtain the power quality grade of each node. Combining this with the calculation of the power quality influence degree of nodes, the overall power quality grade of the distribution network is determined, achieving a hierarchical and quantitative evaluation of power quality in the entire distribution system. Finally, through a case study analysis of an improved 13-node distribution network, it is verified that the proposed method can fully extract data information and produce comprehensive and accurate power quality assessment results by comparing it with other methods. This provides strong support for the safe and stable operation of the distribution system and the subsequent optimization and management of power quality.

Keywords: complex network theory; grid-wide power quality; improved GRA-ANP method; comprehensive weight; VIKOR method (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: 2024
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