Strategy of bilevel optimization dispatch considering wind power optimal inverse robust index

被引：0
|
作者：
Wang H. [1 ]
Lu Z. [1 ]
Zhao H. [1 ]
Yang X. [2 ]
Feng H. [2 ]
机构：
[1] Key Lab of Power Electronics for Energy Conservation and Motor Driveof Hebei Province, Yanshan University, Qinhuangdao, 066004, Hebei Province
[2] State Grid Hebei Electric Power Company, Shijiazhuang, 050021, Hebei Province
来源：
Lu, Zhigang (zhglu@ysu.edu.cn) | 2017年 / Power System Technology Press卷 / 41期
基金：
中国国家自然科学基金;
关键词：
Generating cost; GMOBCC; Optimal inverse robust index; Pumped storage; Wind power;
D O I：
10.13335/j.1000-3673.pst.2016.2689
中图分类号：
学科分类号：
摘要：
In this paper, a bi-level inverse robust optimization method was presented for dealing with wind power uncertainty. In order to improve wind power accommodation, pumping and generating conditions of pumped storage power station were optimized and bi-level inverse robust optimized wind power dispatch model considering pumped storage was proposed. Inner layer of the model aimed for total generating cost optimum. According to ideal disturbance constraint of objective function, outer layer introduced wind power optimal inverse robust index (OIRI) for analyzing limit constraint relation between total generating cost and wind power accommodation. The method fusing grid multi-objective bacterial colony chemotaxis (GMOBCC) algorithm, topology mapping and dichotomy model was applied to solve the model. Finally, system data of a regional power grid was applied to simulate the model and solving method. Economy and effectiveness of the proposed method is proved by comparison. © 2017, Power System Technology Press. All right reserved.
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页码：86 / 92
页数：6
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