Vulnerability Analysis of Power System Considering the Multi-Scenario of Renewable Energy Output

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Erwen HE, Shijun CHEN, Minghai XU, Mengxiang DING, Yuqi HAN, Shengyong YE, Longjiang LI, Chenggang HE

Abstract

With the wind power penetration rising in recent years, the high uncertainty of the wind power increases the vulnerability and outage risk of power systems. In view of this, we propose a vulnerability analysis method considering the topology and state of the wind power grid-connected system. Firstly, we construct a wind power prediction model named as the Kmeans_HPO_GRU_LSTM model. Secondly, we propose a vulnerability evaluation method of the wind power grid-connected system based on the resilience betweenness of power flow considering the uncertainty of the wind power. Finally, the effectiveness and accuracy of the proposed method are verified by the simulations on the IEEE-39 bus system and a regional power grid in China, respectively.

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