基于粒子群算法的电力市场竞价方法  

Bidding Method for Power Market Based on Particle Swarm Optimization

作　　者：符宏艳 

机构地区：[1]广西电网公司北海供电局,广西北海536000

出　　处：《企业科技与发展（下半月）》2012年第7期96-98,共3页

摘　　要：为优化电力市场竞价,以发电机组实际报价结算购电费用最低为目标函数,提出了基于粒子群算法的电力市场竞价方法。算例仿真计算的结果表明,在满足电力系统多种约束的前提下,能取得较好的收敛结果,进一步验证算法的正确性和有效性。A bidding method for power market based on particle swarm optimization is presented to solve the problem of bidding in power market, whose object function is the minimum costs of purchasing electricity according to the actual quote of each generating set. The simulation results show that a better convergent resuh is obtained in this algorithm while satisfying many kinds of constraint conditions of power system,which proves the correctness and validity of the algorithm.

关 键 词：电力市场 竞价上网 竞价模型 算例仿真 粒子群算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]