Sag Immunity Level Evaluation of Sensitive Equipment at Node Based on Latin Hypercube Sampling

被引:0
作者
Wei P. [1 ]
Xu Y. [1 ]
Wang J. [2 ]
Lei D. [2 ]
Chang X. [2 ]
机构
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electrical Power University, Beijing
[2] State Grid Electric Power Research Institute of Shanxi Electric Power Company, Taiyuan
来源
Wei, Pengfei (weipengfei930602@163.com) | 2018年 / China Machine Press卷 / 33期
关键词
Equipment immunity level index set; Evaluation scenario; Latin hypercube sampling(LHS); Sag type; Sensitive equipment; Voltage sag;
D O I
10.19595/j.cnki.1000-6753.tces.170996
中图分类号
学科分类号
摘要
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. © 2018, Electrical Technology Press Co. Ltd. All right reserved.
引用
收藏
页码:3415 / 3425
页数:10
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