Power Quality Coupling Assessment Based on Data-Driven under Multiple Pollution Patterns

doi:10.11930/j.issn.1004-9649.202102087

Abstract

Abstract: In order to quantify the influence of disturbance among nodes under different power quality variation laws, a power quality coupling assessment method is proposed based on data-driven under multiple pollution patterns. Firstly, the periodic and random variation patterns are constructed for all disturbances by using frequency-domain decomposition. According to the disturbance variation trend and severity, the disturbance pattern features are extracted through piecewise linear fitting based on local extreme points. And then, a pattern distance measurement method is developed to implement pattern matching on the pattern features and to analyze the coupling of disturbance time series among nodes under different pollution patterns, thereby determining the interplay of disturbance among nodes. Finally case simulation analyses are conducted on the IEEE 14-bus system, and the accuracy and efficiency of the proposed method are verified by comparing the conventional time series pattern matching methods.

Key words: data-driven, power quality, coupling, pollution pattern, frequency-domain decomposition

ZHANG Jian, YU Hao, LIANG Jianquan, WANG Yue, LIU Heqian. Power Quality Coupling Assessment Based on Data-Driven under Multiple Pollution Patterns[J]. Electric Power, 2022, 55(11): 84-90.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202102087

https://www.electricpower.com.cn/EN/Y2022/V55/I11/84

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