Research on MPSO Algorithm Based Reactive Power Optimization in Electricity Market
NIE Hong-zhan1,ZHANG Bing-bing1,WANG Xin2,LI Ying-hong1 (1.School of Electrical Engineering,Northeast Dianli University,Jilin 132012,Jilin Province,China; 2.Shan-xi Hydroelectric Power Station,Wenzhou 325304,Zhejiang Province,China)
Under the marketing mode that power plants are separated from power network and bidding based transaction of generated power, comprehensively considering security constraints of power system, the authors build up a reactive power optimization model in which active network loss and reactive power cost are brought into objective function and various operation constraint conditions are included. The modified particle swarm optimization (MPSO) is utilized to solve the proposed reactive power optimization model; and combining with non–stationary multi-stage assignment penalty function, the reactive power optimization problem is transferred into a problem to solve extreme-value without constraints, thus the calculation accuracy and global convergence ability of MPSO are effectively improved, and power grid company can achieve maximal economic benefit by means of the proposed algorithm. Simulation of the proposed algorithm by IEEE 30-bus system is conducted, simulation results validate the correctness, adaptability and better economy of the proposed MPSO algorithm.
【CateGory Index】： TM714.3