Optimization of Wind Power Configuration in Distribution Network Based on Scenario Clustering and Power Flow Entropy

MING-ZE ZHANG, YI-CHAO HUANG, MIN WANG

Abstract


When the wind power is connected to the distribution network, the access points and the access capacity of each point in the distribution network will also affect the stability of the distribution network. Therefore, based on the fuzzy C clustering of wind speed, this paper optimizes the location and capacity of wind power in the distribution network by using the proposed entropy index of power flow which reflects the power flow equilibrium degree of the system. Firstly, typical wind speed and output scenarios are selected through scenario clustering, and then the flow entropy index reflecting system stability is adopted to optimize the location and capacity of wind power. The improved IEEE33 was used to verify the method

Keywords


Distribution network, Fuzzy C mean clustering, Scenario analysis, Power flow entropyText


DOI
10.12783/dteees/peems2019/34015

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