基于改进粒子群算法的节能调度下多目标负荷最优分配.pdf

第 33 卷 第 5 期 电 网 技 术 Vol. 33 No. 5 2009 年 3 月 Power System Technology Mar. 2009 文章编号：1000-3673 （2009 ）05-0048-06 中图分类号：TM56 文献标志码：A 学科代码：470·4027 基于改进粒子群算法的 节能调度下多目标负荷最优分配 苏鹏，刘天琪，赵国波，张炯 （四川大学电气信息学院，四川省 成都市 610065 ） An Improved Particle Swarm Optimization Based Multi-Objective Load Dispatch Under Energy Conservation Dispatching SU Peng，LIU Tian-qi ，ZHAO Guo-bo ，ZHANG Jiong (School of Electrical Engineering and Information ，Sichuan University，Chengdu 610065，Sichuan Province，China) ABSTRACT: On the basis of traditional economic load 0 引言 dispatch and combining with the objectives of energy 经济负荷分配[1-5](economic load dispatch，ELD) conservation dispatching, a multi-objective load dispatch model that considers minimum active network loss and 是电力系统中一类典型的优化问题，其目的是在满 minimum coal consumption of generating sets is built. The 足负荷和运行约束的条件下，发电成本最小(煤耗 built model can optimize energy conservation of whole system. 量) 。研究 ELD 问题对提高系统运行的经济性和可 In this paper the multi-objective particle swam algorithm based 靠性都具有重要的意义。节能调度的核心思想是优 on Pareto optimum is improved and applied to multi-objective 先调度水能、风能等清洁能源发电，对火电机组则 optimal load dispatch. Simulation results of IEEE 57-bus test 按照煤耗水平从大到小排序，让排在前面的机组尽 power system show that using the proposed method the 量多发。这样既能节省一次能源，又能减少对环境 network loss of power system and coal consumption of 的污染。因此可以把经济负荷分配与节能调度政策 generating sets can be reduced, and energy source can be 结合起来，达到节省能源的目的，其具体思路是： conserved, meanwhile, the security constraints of power syste