基于概率潮流两点估计法的10kV配电线路无功优化配置  

10 k V distribution line reactive optimal configuration based on two-point probability load flow

作　　者：孙彦超[1] 吕海灿 章坚民[1] 陆献传 徐福园 

机构地区：[1]杭州电子科技大学自动化学院,浙江杭州310018 [2]国网新昌县供电公司,浙江新昌310006

出　　处：《机电工程》2015年第1期96-100,共5页Journal of Mechanical & Electrical Engineering

基　　金：国家电网公司科技资助项目(ZDK088-2012);浙江省自然科学重点基金资助项目(LZ12E07001)

摘　　要：针对电力系统运行中存在的大量的不确定因素,例如负荷的随机波动性、功率或发电出力的随机变化、电力设备因随机故障退出运行等问题,将两点估计法的概率潮流技术应用到网损计算中。从降低损耗、改善电能质量的角度出发,建立了无功补偿优化模型。根据实际电网负荷的历史数据,利用遗传算法,得到了配电网无功优化配置的最优方案。最后通过实际的案例进行了计算与分析。研究结果表明,两点估计法的概率潮流在配电网无功优化配置的应用中具有准确性和有效性。Aiming at the problems of a lot of uncertainties in the operation of the power system,such as the stochastic volatility of load,power or power output of random variation,electrical equipment out of operation due to random failures and other issues,the two point estimation of probabilistic load flow method was adopted to calculate the network loss. From the perspective of reducing loss as well as improving of power quality,a reactive power compensation optimization model was established. The optimal scheme of reactive power configuration optimization for distribution network was achieved by using of genetic algorithm and based on the modeling of the actual power grid load historical data.Through computational analysis of actual cases and the corresponding results,the results indicate that the two point estimation of probabilistic load flow method has accurate qualitative and effectiveness in the optimal allocation of reactive power distribution applications.

关 键 词：两点估计法 概率潮流 无功优化配置 遗传算法 

分 类 号：TM761.1[电气工程—电力系统及自动化]