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Keywords

voltage governance, medium voltage feeders, clustering algorithm, classification, measures selection

Abstract

Medium voltage feeders face voltage deviation and fluctuation problems, and there are many choices of governance measures and equipment. A classification and voltage governance measures selection method of medium voltage feeders is proposed in view of the current situation that power grid enterprise is difficult to select the pertinent measures for massive medium voltage feeders in the planning and operation of the network. Firstly, considering the influence of feeder's property parameters on voltage, a voltage characteristic index system is designed which covers the line property and load characteristic. Then, the feeders are sorted by the Fuzzy Cmean (FCM) clustering algorithm based on the factor analysis so as to judge whether the feeders need to be transformed or install the governance equipment. Then, the bus voltage characteristic evaluation method is designed to describe the probability distribution and time domain fluctuation characteristics. The primary clustering results are further refined by the bus voltage characteristic grades to determine whether it is necessary to modify bus voltage control strategy or install equipment on the bus. Finally, the effectiveness and practicability of this method are verified by an example.

DOI

10.19781/j.issn.16739140.2020.05.024

First Page

171

Last Page

177

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