Sag Immunity Level Evaluation of Sensitive Equipment at Node Based on Latin Hypercube Sampling
Wei Pengfei1, Xu Yonghai1, Wang Jinhao2, Lei Da2, Chang Xiao2
1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electrical Power University Beijing 102206 China; 2. State Grid Electric Power Research Institute of Shanxi Electric Power Company Taiyuan 030001 China
Abstract：According to the poor stability and convergence of Monte Carlo method(MC method), the different tolerance capability of sensitive equipment to different sag types, and the different evaluation scenarios of sensitive equipment operation and planning, a node evaluation method for the immunity level of sensitive equipment based on Latin hypercube sampling(LHS method) is proposed. The random models of short circuit fault are established, the fault information are obtained through LHS method, then a series of sag events can be obtained through the fault simulation and each node immunity level of sensitive equipment in the system is evaluated. The sag type is chosen as one of the basic sag characteristics, and the node sag evaluation is based on the tolerance curves of sensitive equipment to different sag types; then considering the evaluation scenarios of node sensitive equipment operation and planning, the evaluation method and process are given respectively; in view of the planning evaluation scenario, in order to further reflect the difference of immunity level of sensitive equipment at each node, the equipment immunity level index set is proposed. The proposed method can provide a reference for the operation and planning of the sensitive equipment in actual network.
韦鹏飞, 徐永海, 王金浩, 雷达, 常潇. 基于拉丁超立方采样的节点敏感设备暂降免疫水平评估[J]. 电工技术学报, 2018, 33(15): 3415-3425.
Wei Pengfei, Xu Yonghai, Wang Jinhao, Lei Da, Chang Xiao. Sag Immunity Level Evaluation of Sensitive Equipment at Node Based on Latin Hypercube Sampling. Transactions of China Electrotechnical Society, 2018, 33(15): 3415-3425.
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2018, Vol. 33 
