基于人工智能算法的电力系统无功优化调度研究  

Research on Reactive Power Optimal Dispatch of Power System Based onArtificial Intelligence Algorithm

作　　者：彭嘉宁 PENG Jianing(Dispatching and Control Center of State Grid Ningxia Electric Power Company,Yinchuan 750001, China)

机构地区：[1]国网宁夏电力公司调度控制中心,宁夏银川750001

出　　处：《机械与电子》2020年第12期55-59,共5页Machinery & Electronics

摘　　要：提出了一种自启发人工智能算法,以解决电力系统无功优化调度问题。该方法基于多变量优化理论,寻找实际发电量、发电机电压、分接变压器变比和无功补偿装置尺寸等控制变量的最佳组合,使网络总损耗最小。基于IEEE30总线系统的25个变量对该算法进行了测试,并与3种现有算法进行了比较,验证了此算法的有效性,表明所提出的算法能高效实现最优化调度方案的制定。A self inspired artificial intelligence algorithm is proposed to solve the problem of optimal reactive power dispatch in power system.Based on multivariable optimization theory,the optimal combination of control variables such as actual power generation,generator voltage,tap transformer ratio and reactive power compensation device size is found to minimize the total network loss.Finally,the algorithm is tested based on 25 variables of IEEE30 bus system,and compared with three existing algorithms to verify the effectiveness of the proposed algorithm,which shows that the algorithm proposed in this paper can efficiently implement the formulation of optimal scheduling scheme.

关 键 词：无功调度 最优化 人工智能算法 线损 潮流计算 

分 类 号：TM734[电气工程—电力系统及自动化]