A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming

Wushan Cheng and Haifeng Zhang
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Wushan Cheng: School of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
Haifeng Zhang: School of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China

Energies, 2014, vol. 8, issue 1, 1-24

Abstract: In order to maintain the stability and security of the power system, the uncertainty and intermittency of wind power must be taken into account in economic dispatch (ED) problems. In this paper, a dynamic economic dispatch (DED) model based on chance constrained programming is presented and an improved particle swarm optimization (PSO) approach is proposed to solve the problem. Wind power is regarded as a random variable and is included in the chance constraint. New formulation of up and down spinning reserve constraints are presented under expectation meaning. The improved PSO algorithm combines a feasible region adjustment strategy with a hill climbing search operation based on the basic PSO. Simulations are performed under three distinct test systems with different generators. Results show that both the proposed DED model and the improved PSO approach are effective.

Keywords: wind power; dynamic economic dispatch; spinning reserve; chance constraintprogramming; particle swarm optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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