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

Energies

Wushan Cheng²  Haifeng Zhang¹ 

[1] School of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China; E-Mail

关键词: wind power;    dynamic economic dispatch;    spinning reserve;    chance constraint programming;    particle swarm optimization;   

DOI  :  10.3390/en8010233

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.