基于反捕食粒子群算法的电力系统经济调度方法  

Economic Dispatching of Power System Based on Anti-Predatory Particle Swarm Algorithm

作　　者：吴杰康[1] 韩军锋[1] 刘蔚[2] 吴智华[1] 

机构地区：[1]广西大学电气工程学院,广西壮族自治区南宁市530004 [2]广西电力试验研究院有限公司,广西壮族自治区南宁市530023

出　　处：《电网技术》2010年第6期59-63,共5页Power System Technology

基　　金：国家863高技术基金项目(2007AA04Z197);国家自然科学基金项目(50767001);高等学校博士学科点专项科研基金资助项目(20094501110002);广西高校百名中青年学科带头人资助计划项目(RC20060808002);广西壮族自治区教育厅科技计划项目(200808-MS150);广西壮族自治区研究生教育创新计划项目~~

摘　　要：建立了考虑系统功率平衡约束、发电机组出力极限约束、机组爬坡约束、机组工作死区约束的经济调度模型,应用反捕食粒子群优化算法求解该模型。求解过程中,在自适应值罚函数中对相关约束条件加入惩罚因子,应用修补策略对违反各种约束条件的粒子进行积极修正,使粒子尽可能地在可行解区域或尽量接近可行解的区域内寻优。算例结果验证了该方法的有效性。An economic dispatching model, in which the constraints such as system power balance, output limit of generating units, ramp rate limit and dead zone of unit are taken into account, is built and solved by anti-predatory particle swarm optimization （APSO） algorithm. During the solving process, in adaptive value penalty function the penalty factors are added to related constraints and the particles that violate constraints are actively modified by repair strategy to make particles locating in area of feasible solution or to search in the area close to feasible solution area as possible. The effectiveness of the proposed algorithm is verified by calculation example.

关 键 词：电力系统经济调度 反捕食粒子群优化 修补策略 适应值罚函数法 

分 类 号：TM73[电气工程—电力系统及自动化]