4.7 Article

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

期刊

ENERGY
卷 126, 期 -, 页码 810-820

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2017.02.142

关键词

RCED model; Wind power; Economic gain; Economic risk; CGSOMP

资金

  1. China Postdoctoral Science Foundation [2016M602296]
  2. State Key Laboratory of Electrical Insulation and Power Equipment [EIPE16210]
  3. Xi'an Jiaotong University, China
  4. State Key Program of National Natural Science Foundation of China [51537003]
  5. National Natural Science Foundation of China [51277080]
  6. Hubei Collaborative Innovation Center for High-efficient Utilization of Solar Energy, Hubei University of Technology [HBSZD2014001]
  7. Energy Innovation Programme Office (EIPO) through the National Research Foundation and Singapore Economic Development Board

向作者/读者索取更多资源

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.

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