基于多线程遗传算法的目标分级地区电网电压无功优化控制  

Target classification reactive power optimal control of regional power grid based on multi-thread genetic algorithm

作　　者：冷永杰[1] 张路寅[1] 赵建峰[1] 李慧聪 张东院[1] 张庆华[1] 

机构地区：[1]积成电子股份有限公司,山东济南250100 [2]山东电力集团有限公司,山东济南250001

出　　处：《电力系统保护与控制》2015年第18期37-41,共5页Power System Protection and Control

摘　　要：地区电网的无功优化控制要求实时的准确性,方案的准确性、计算及时性以及控制的快速性必须要满足电网的需求。针对以上要求提出了适合地区电网的多线程遗传算法的目标分级地区电网无功优化控制。采用多线程灵敏度计算、定空间灵敏度选择遗传算法的初始种群,交叉概率采用模糊自调整,变异概率采用相似度。分关口多线程的改进遗传算法优化计算,提高收敛速度,分级考虑控制目标,分关口并行遥控,结合某地区电网实例进行分析表明方法可行,所提方法满足当前地区电网无功优化控制的实时需求。Real-time and accuracy are requested in reactive power optimal control of regional power grid. The accuracy of the solution, timeliness of calculation and rapidity of control must satisfy the demand of power grid. Based on multi-thread genetic algorithm, target classification reactive power optimal control of regional power grid is proposed for above requirements. Multi-threaded calculation of sensitivity and specified space sensitivity are adopted for choosing initial population; fuzzy self-adjustment and similarity are used in crossover probability and mutation probability respectively. Improved genetic algorithm which is optimized by gate multi-thread enhances the convergence speed; control target is considered by classification; parallel remote control is considered by gate. Combining with one regional power grid instance, analysis results show the feasibility of proposed method. This method satisfies the real-time requirements of reactive power optimal control of current regional power grid.

关 键 词：多线程 改进遗传算法 定空间灵敏度 目标分级 无功电压优化控制 

分 类 号：TM714.3[电气工程—电力系统及自动化]