Multi-Objective Optimal Dispatch of Power System with Wind Power Based on Improved Particle Swarm Algorithm

Abstract:

With the increase of its proportion in power system, wind power not only brings economic and environmental benefits but also the potential security risks due to its fluctuation and uncertainty. In order to take the potential security risks into account, an environmental/economic/safe static dispatch (EESD) model of power system with wind power is built. A new multi-objective particle swarm optimization (MOPSO) algorithm with standby selection and micro variation is proposed to solve the model. Two cases with and without wind power are simulated with the standard IEEE-30 system. The simulation results validate the effectiveness of the proposed algorithm.

• Periodical: Advanced Materials Research (Volumes 860-863)
• Pages: 353-360
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.860-863.353
• Online since: December 2013
• Authors: Yi Hui Zhang, Zhi Jian Hu*, Xiao Lu Gong, Meng Lin Zhang, He Wang, Li Yan
• Keywords: Environmental Economic Safe Static Dispatch, Micro Variation, Multi-Objective Particle Swarm Optimization, Standby Selection, Wind Power, Wind Power Penetration

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