Risk constrained economic dispatch with integration of wind power by multi-objective optimization approach

被引:32
|
作者
Li, Y. Z. [1 ,2 ,3 ]
Li, K. C. [1 ]
Wang, P. [2 ]
Liu, Y. [2 ]
Lin, X. N. [1 ]
Gooi, H. B. [2 ]
Li, G. F. [3 ]
Cai, D. L. [1 ]
Luo, Y. [1 ]
机构
[1] Huazhong Univ Sci & Technol, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Peoples R China
[2] Nanyang Technol Univ, Singapore 639798, Singapore
[3] Xi An Jiao Tong Univ, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Peoples R China
基金
中国博士后科学基金; 新加坡国家研究基金会; 中国国家自然科学基金;
关键词
RCED model; Wind power; Economic gain; Economic risk; CGSOMP; MEAN-VARIANCE MODEL; UNIT COMMITMENT; EMISSION DISPATCH; GENERATION; SYSTEM; ALGORITHMS;
D O I
10.1016/j.energy.2017.02.142
中图分类号
O414.1 [热力学];
学科分类号
摘要
With increasing wind energy integrated into power systems, the topic of economic dispatch (ED) becomes more important. In this paper, a risk constrained ED (RCED) model is proposed, which aims to obtain the optimal dispatch solution to balance the economic gain and the economic risk brought by uncertain wind power. Then Pareto-based multi-objective optimization approach is applied to optimize the gain and risk under the uncertain environment, simultaneously. Afterwards, an improved optimization algorithm, chaotic group search optimizer with multiple producers (CGSOMP) is used for solving this complex problem. Simulation studies are conducted on a modified IEEE 30-bus power system, and results verify outperformance of the RCED model, compared with the traditional ED approach. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:810 / 820
页数:11
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