基于多目标粒子群算法的电力系统环境经济调度研究  

Environmental/economic power dispatch based on multi-objective particle swarm constraint optimization algorithm

作　　者：张子泳 仉梦林[2] 李莎 ZHANG Ziyong ZHANG Menglin LI Sha(Guangdong Power Dispatch and Control Center, Guangzhou 510000, China School of Electrical Engineering, Wuhan University, Wuhan 430072, China Guangdong Power Science Academy, Guangzhou 510000, China)

机构地区：[1]广东电网有限责任公司电力调度控制中心,广东广州510000 [2]武汉大学电气工程学院,湖北武汉430072 [3]广东电网有限责任公司电力科学研究院,广东广州510000

出　　处：《电力系统保护与控制》2017年第10期1-10,共10页Power System Protection and Control

基　　金：国家自然科学基金项目(51207113);高等学校博士学科点专项科研基金项目(20110141110032);西安交通大学电力设备电气绝缘国家重点实验室资助(EIPE13205)~~

摘　　要：提出了一种新的多目标粒子群优化(Multi-Objective Particle Swarm Optimization,MOPSO)算法,用于求解电力系统的环境/经济调度问题。通过设计特定的约束修正因子,将不可行解修正成可行解,并在此基础上用惩罚函数法构建了新的适用于多目标粒子群的适应度函数模型。根据帕累托占优条件形成历史帕累托最优解集和全局帕累托最优解集,引入稀疏度排序法选择全局最优解,基于帕累托最优前沿的斜率特性,提出用斜率法筛选非劣解,采用基于模糊数学的满意度评价模型选择POF的折衷最优解。最后,用IEEE-30节点标准测试系统对所提算法进行了仿真测试,并与其他算法进行了对比。仿真结果表明所提算法可行、有效。A new multi-objective particle swarm optimization （MOPSO） technique for environmental/economic dispatch （EED） is proposed. Infeasible solutions can be revised to feasible ones by designing specific constraints correction factor. And on the basis of that, a new fitness function model for multi-objective particle swarm is built based on the penalty function method. The historical set and global set for non-dominated solutions are formed, according to the Pareto dominant conditions. A crowding distance-based approach is introduced to assign the global leader. Moreover, a new technique called slope method is proposed to further filter the non-dominated solutions based on the slope characteristics of the Pareto optimal front （POF）. Then, fuzzy mathematical method for satisfaction evaluation is employed to extract the best compromise solution over the POF. Finally, several optimization runs of the proposed algorithm are carried out on the standard IEEE 30-bus test system, the results validate that the proposed method is feasible and effective.

关 键 词：不换位输电线路 相模变换 模分量法 微扰法 故障测距 

分 类 号：TM73[电气工程—电力系统及自动化]