Dynamic Reconfiguration of Distribution Network Based on Improved Fuzzy C-means Clustering of Time Division

被引：0
|
作者：
Dong Z. [1 ]
Lin L. [1 ]
机构：
[1] College of Electric Power, South China University of Technology, Guangzhou, 510640, Guangdong
来源：
Dianwang Jishu/Power System Technology | 2019年 / 43卷 / 07期
关键词：
DG; Dynamic reconfiguration; Fuzzy C-means clustering; Interval algorithm; Time division;
D O I：
10.13335/j.1000-3673.pst.2018.2461
中图分类号：
学科分类号：
摘要：
With increasing intermittent power sources, such as photovoltaic and wind power, connected to distribution network, traditional static reconfiguration scheme is no longer suitable for dynamic network. In this context, a dynamic reconfiguration scheme based on improved fuzzy C-means clustering is proposed in this paper. Firstly, the deterministic equivalent load forecasting curve based on the time-varying property of DG and load is divided into segments using the improved fuzzy C-means clustering algorithm. And the loss function is applied to determine optimal time division scheme. Secondly, the interval value describing the uncertainty of DG and load forecasting is adopted to establish a dynamic reconfiguration model with minimum network loss. Then the power flow method based on affine Taylor expansion is used to solve the interval power flow equation. Finally, the reconfiguration model is solved with decimal particle swarm optimization algorithm based on loop search. The simulation analysis of IEEE33 distribution system shows that the proposed method is effective and superior. © 2019, Power System Technology Press. All right reserved.
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页码：2299 / 2305
页数：6
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