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| Particle Swarm Research of Stochastic Simulation for Unit Commitmen in Wind Farms Integrated Power System |
| Jiang Yuewen, Chen Chong, Wen Buying |
| Fuzhou University Fuzhou 350002 China |
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Abstract The unit commitment(UC) problem in wind power integrated system is not a traditional certain problem because of wind power's random. The solution which is economic and reliable is difficult to attain by traditional ways. This paper puts forwards a mathematical model of UC in wind power integrated system based on chance constrained programming (CCP). It describes the related constrained conditions by probability form, and transforms UC problem into inside and outside optimization sub-problems. The outside sub-problem is units' on/off status optimization. It is effectively solved by discrete binary particle swarm optimization (BPSO) and heuristic searching strategy. The inside sub-problem is economic dispatch(ED). Considering the random of wind power, the sub-problem is solved by improved particle swarm optimization (PSO) based on stochastic simulation which avoids local optimal solution and ensures the feasibility of generation plans. The optimization algorithm is proved feasible and effective by testing a 10-unit system and being compared with other methods.
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Received: 11 January 2008
Published: 14 February 2014
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2009, Vol. 24 
