Optimal Power System Dispatch With Wind Power Integrated Using Nonlinear Interval Optimization and Evidential Reasoning Approach

被引：78

作者：

Li, Y. Z. ^{[1
]}

Wu, Q. H. ^{[1
,2
]}

Jiang, L. ^{[2
]}

Yang, J. B. ^{[3
]}

Xu, D. L. ^{[3
]}

机构：

[1] S China Univ Technol, Sch Elect Power Engn, Guangzhou 510641, Guangdong, Peoples R China

[2] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England

[3] Univ Manchester, Manchester Business Sch, Manchester M15 6PB, Lancs, England

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2016年 / 31卷 / 03期

关键词：

Evidential reasoning (ER); group search optimizer with multiple producers (GSOMP); multi-objective optimization; nonlinear interval optimization (NIO); wind power; CONSTRAINED UNIT COMMITMENT; GROUP SEARCH OPTIMIZER; ECONOMIC-DISPATCH; PROGRAMMING METHOD; SECURITY; MODEL; UNCERTAINTY; ALGORITHM; RISK;

D O I：

10.1109/TPWRS.2015.2449667

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents the nonlinear interval optimization (NIO) model to solve optimal power system dispatch (OPSD) with uncertain wind power integrated. In this model, not only the average of the dispatching objective, but its deviation are also taken into account. Therefore, the NIO model based on OPSD is formulated as a multi-objective optimization problem. An optimization algorithm, group search optimizer with multiple producers (GSOMP) is applied to obtain Pareto solutions, which show the tradeoff relationship between the average and deviation of the dispatching objective. Then, a decision-making method, the evidential reasoning (ER) approach, is applied to determine the final dispatch solution. Simulation results based on the modified IEEE 30-bus system prove the applicability and effectiveness of the NIO model to deal with the OPSD, considering the integration of the uncertain wind power.

引用

页码：2246 / 2254

页数：9

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