Regional Abatement Strategy for Power Quality Based on Data Driven

被引：0

作者：

Shi L. ^{[1
]}

Jia Q. ^{[1
]}

Sun H. ^{[1
]}

Yu H. ^{[1
]}

Tian S. ^{[1
]}

Han T. ^{[2
]}

机构：

[1] Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao, 066004, Hebei Province

[2] State Grid Hebei Electric Power Company Xingtai Power Supply Branch, Xingtai, 054001, Hebei Province

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Grey relation analysis; Piecewise linear representation; Power quality; Regional division; Time series;

D O I：

10.13334/j.0258-8013.pcsee.180391

中图分类号：

学科分类号：

摘要：

For the high-permeability, dispersion, and time-variation of distributed generation and nonlinear load, it is difficult to effectively control power quality (PQ) of the whole network by traditional abatement, from the perspective of data relational analysis and whole network abatement, a regional abatement strategy of PQ based on data driven was proposed. The important feature points were extracted from PQ time series of each node, and interpolation optimization method was used to constructed a sequence array of equal time dimension. Data correlation of nodes was analyzed by grey relation theory, then the network was divided into multiple control regions based on relational degree, the best abatement point of each region was identified, thereby PQ abatement of the whole network was achieved by regional control. IEEE 14 nodes simulation result verifies the accuracy of dividing abatement regions and the rationality of improving PQ of whole network in each region. © 2019 Chin. Soc. for Elec. Eng.

引用

页码：992 / 1000

页数：8

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