Research on Scheduling Optimization of Wind Power Integrated System

Abstract:

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This paper studied the scheduling optimization problem of the wind power integrated system. A power system scheduling model was established aiming at minimizing the generation cost and reducing pollution. A method combined priority-list method (PL) with multi-objective particle swarm optimization (MOPSO) was proposed to overcome the blindness of particle swarm optimization (PSO) and improve the calculation speed. The priority-list method was used to sort the units. The simple economic dispatch result was taken as the initial location of particles. Adaptive mutation was introduced to guarantee the diversity of particles. The simulation result indicates that the method proposed in this paper is feasible and reasonable.

Info:

Periodical:

Advanced Materials Research (Volumes 347-353)

Edited by:

Weiguo Pan, Jianxing Ren and Yongguang Li

Pages:

2178-2182

DOI:

10.4028/www.scientific.net/AMR.347-353.2178

Citation:

J. L. Lu et al., "Research on Scheduling Optimization of Wind Power Integrated System", Advanced Materials Research, Vols. 347-353, pp. 2178-2182, 2012

Online since:

October 2011

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Price:

$35.00

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