电力系统保护与控制Issue(17)：25-31,7.
基于改进多目标粒子群算法的含风电场电力系统优化调度
Power system optimal dispatch considering wind farms based on improved multi-objective particle swarm algorithm
摘要
Abstract
Wind power has the characteristics of randomness and volatility, so conventional power system analysis, dispatch and control meet new challenges. This paper studies the topic of power system optimal dispatch including wind farms in detail, establishes a dispatch model based on multi-objective particle swarm algorithm. This model considers the running risk caused by cost of power generation, emissions of polluting gases, and short-term fluctuations of wind farm output power, adds reserve positive and negative rotation capacity into constraints, thus reduces the impact of power fluctuations and prediction error on the system. The searching unit ability of multi-target particle swarm algorithm is modified by mixing genetic operators in algorithm design. The capability of global optimization of the model is sharply improved. The simulation result of ten-generator system shows that the proposed method is correct and effective, and it can not only reduce the infeasible solutions in the optimization process, but also resolve the conflict between the various optimization targets, ensuring all the objective function as optimal as possible. <br> This work is supported by National Natural Science Foundation of China (No. 51107140).关键词
风电/优化调度/遗传算子/多目标粒子群Key words
wind power/optimal dispatch/genetic operators/multi-objective particle swarm algorithm分类
信息技术与安全科学引用本文复制引用
卢锦玲,苗雨阳,张成相,任惠..基于改进多目标粒子群算法的含风电场电力系统优化调度[J].电力系统保护与控制,2013,(17):25-31,7.基金项目
国家自然科学基金项目(51107140)；中央高校基本科研业务费专项资金资助(09QG06) （51107140）
