考虑发电机报价曲线的发电计划偏差的β-PSO优化方法研究  

β-PSO considering generation bidding prices for optimization of generation scheduling error

作　　者：董根源[1] 温步瀛[1] 江岳文[1] 

机构地区：[1]福州大学电气学院,福建福州350002

出　　处：《电力自动化设备》2006年第7期18-21,25,共5页Electric Power Automation Equipment

摘　　要：在电力市场环境下发电商的机组报价将会随着机组出力的变化而变化,此时发电计划偏差优化问题的目标函数不再是简单的线性模型,而是非线性模型。针对该优化问题的特点,提出了β分布-粒子群优化算法(β-PSO),用β分布函数代替传统PSO算法中的均匀分布函数。在产生可行解的过程和迭代过程中动态地调整β随机函数的参数,以提高产生可行解的速度和质量,在粒子速度更新时保证粒子在可行域内不断寻优。通过算例表明,该算法有效地解决了以往粒子群算法在求解优化问题时难以找到可行解的困难。In electricity market,as the power producers＇ bidding prices change with power outputs of units,the objective function of generation scheduling error optimization is no longer a linear model,for which,β-PSO （β distribution-Particle Swarm Optimization） method is proposed, using β distribution random function instead of even distribution random function. Parameters of β- PSO are adjusted dynamically in working out solution and iteration process to improve the speed and quality of the feasible solution,and to ensure particles to search best solutions in the feasible region during particle speed updating. An example shows that,the method effectively releases the difficulty of former PSO algorithm in finding the feasible solution of optimization problem.

关 键 词：发电计划偏差 粒子群优化 β分布函数 机组报价 

分 类 号：TM73[电气工程—电力系统及自动化]