基于改进小生境遗传算法的小水电网无功优化系统开发  

Development of Reactive Power Optimization System for Small Hydropower Grid based on the Improved Niching Genetic Algorithm

作　　者：毛荀[1] 夏俊丽[2] 张旭昶[1] 罗亚桥[1] 

机构地区：[1]国网安徽省电力公司电力科学研究院,安徽合肥230000 [2]武汉大学电气工程学院,湖北武汉430000

出　　处：《水电与新能源》2015年第4期33-37,共5页Hydropower and New Energy

摘　　要：对富含小水电区域的无功优化研究进行了分析,研究了小水电的无功优化数学模型原理并采用改进的小生境遗传算法进行优化,从实用性角度开发了一套小水电无功优化系统,该系统能快速计算出不同潮流运行方式下各无功补偿点的最佳补偿容量,降低小水电网在低谷负荷下的电压水平和网损,并通过实际算例,证明了系统的正确性和有效性。The reactive power optimization for power grid with a large number of small hydropower stations is analyzed. Adopting the improved niching genetic algorithm into the mathematical model, a practical reactive power optimization system is developed for such power grid.With this system, the optimal compensating capacity for each reactive power compensation point under different power flow operation conditions can be calculated quickly, thus the voltage level and the loss of such small hydropower grid under the valley load can be reduced.The accuracy and effectiveness of this sys-tem is demonstrated by practical examples.

关 键 词：小水电 无功优化 遗传算法 潮流计算 优化软件 可视化 PSASP 

分 类 号：TM711[电气工程—电力系统及自动化]