摘要
为了在电厂机组间进行负荷经济分配,提高电力系统运行的经济性,针对汽轮机进汽阀突然开启时出现的拔丝现象即阀点效应,提出了采用改进的粒子群算法(HPSO)对火电机组负荷进行经济分配,并将遗传算法的交叉思想引入到PSO算法当中,使其避免局部最优。通过MATLAB仿真,算例结果表明改进的算法寻优质量更好,效率更高,可望应用于更广泛的优化问题。
To improve economy of power system via alloting load among the units of generating station, aimed at the valve-point effect of turboset, proposing a new versatile optimization called hybrid particle swarm optimization algorithm （HPSO） to solve the discontinuous, nonconvex, nonlinear constrained economic load dispatch （ELD） optimization problems. To avoid trapping to local excellent result,this paper presents puting hybrid idea of GA into PSO algorithm. The results show that the HPSO for ELD problem is versatile and efficient by MATLAB simulation. It has been successfully applied in many areas.
出处
《电力学报》
2008年第6期467-469,473,共4页
Journal of Electric Power
关键词
粒子群优化算法
经济负荷分配
阀点效应
particle swarm optimization algorithm
economic coad dispatch
valve-point effect
