Mean-variance model for power system economic dispatch with wind power integrated

被引:76
|
作者
Li, Y. Z. [1 ]
Wu, Q. H. [1 ,2 ]
Li, M. S. [1 ]
Zhan, J. P. [3 ]
机构
[1] South 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] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
关键词
Mean-variance model; Economic dispatch; Wind power; Multi-objective optimization algorithm; Decision making; MULTIOBJECTIVE OPTIMIZATION; GENETIC ALGORITHM; UNIT COMMITMENT; SEARCH; RISK; FLOW; CONSTRAINTS; UNCERTAINTY;
D O I
10.1016/j.energy.2014.05.073
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper presents the mean-variance (MV) model to solve the power system economic dispatch with wind power integrated, based on the optimal power flow problem. The MV model considers the profit and risk simultaneously under the environment of uncertain wind power, which is formulated as a multi-objective optimization problem. The MGSOMP (multiple-group search optimizer with multiple producers) is proposed to solve the MV model to find Pareto solutions, based on GSOMP (group search optimizer with multiple producers). Then the preference ranking organization method is used for decision making to determine the final dispatch solution. The MV model and MGSOMP are tested on the modified IEEE 30-bus and 118-bus power systems, respectively. Simulation results show that the MV model is well applicable to solve power system dispatch considering wind power integrated, and MGSOMP can obtain more convergent and better diversified Pareto solutions, compared with GSOMP. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:510 / 520
页数:11
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