采用数据包络分析法的电力系统无功功率经济优化问题研究  

Research on Economic Optimization of Power System Reactive Power by Data Envelopment Analysis

作　　者：吴亮[1] 马绍明[2] 程鹏飞[2] 张鹏[1] 范传忠 WU Liang;MA Shaoming;CHENG Pengfei;ZHANG Peng;FAN Chuanzhong(State Grid Tieling Power Supply Company, Tieling, Liaoning 112000, China;State Grid Fushun Power Supply Company, Fushun, Liaoning 113000, China)

机构地区：[1]国网铁岭供电公司,辽宁铁岭112000 [2]国网抚顺供电公司,辽宁抚顺113000

出　　处：《东北电力技术》2018年第3期1-4,11,共5页Northeast Electric Power Technology

摘　　要：合理分配且适量供给的无功功率对提高电网稳定性以及降低电网有功功率的损耗起到很重要的作用,并且调节无功功率分布最直接的目的在于稳定电压、改善电压波形、减少由于无功分配不合理导致过电压对设备绝缘所造成的影响。通过采用粒子群算法和数据包络分析法(DEA)对系统无功功率进行优化计算,从提高机组运行无功传输经济效率的角度进行分析,将提高机组运行无功传输经济效率与降低有功损耗并重,从而验证对电网系统所作无功优化计算在降低系统网损和提高机组运行无功传输经济效率方面具有双重指导意义。Reactive power allocation, the supply amount to improve power system stability, an important role to reduce the active power loss of power system and regulate the distribution of reactive power is the most direct purpose is to improve the voltage stability, tovoltage waveform and to reduce the reactive power distribution unreasonable effect caused by the voltage of equipment insulation. In thispaper, by using particle swarm algorithm and data envelopment analysis （DEA） system of reactive power optimization and analysis fromimproving the unit operation of reactive power economic efficiency point of view will improve the unit operation of reactive power economic efficiency and reduce power loss of both. The power system for reactive power optimization with double significance is in reducingthe system loss. It improves the economic efficiency of reactive power plant operation.

关 键 词：数据包络分析法(DEA) 粒子群算法 无功功率优化 优化经济效率 

分 类 号：TM761.12[电气工程—电力系统及自动化]