基于果蝇-BP的风水协同发电控制  

Review of Controlling in Cooperation of Wind-Hydro Hybrid Power Based on the Fruit Fly-BP

作　　者：王蒙[1] 杨秀媛[1] 张丽[1] 李庆[1] 

机构地区：[1]北京信息科技大学自动化学院电气工程系,北京100192

出　　处：《电气工程学报》2016年第10期44-52,共9页Journal of Electrical Engineering

基　　金：北京市属高等学校高层次人才引进与培养计划项目(CIT&TCD201404126)

摘　　要：风电与水电在资源的季节分布上具有很强的互补性,利用水电良好的调峰调频特性,可以克服风电供应的间歇性和不稳定性,使风电与水电出力之和基本保持在一定范围之内,最终形成一个相对稳定的出力。根据风电、水电协同发电的基本原理以及研究现状,研究了风电、水电协同运行的控制方法及其局限性;为了提高协同效果,提出了将果蝇算法和BP神经网络相结合对风电、水电协同系统进行控制的方法。There is strong complementarity between wind and water resources in seasonal distribution. Using wind power good peak regulation and frequency modulation characteristics, the intermittency and instability of wind power supplied can be overcomed, and the wind power and hydropower can remain a certain range and result in a relatively stable output. According to the basic principle and research status of the coordination between wind power and hydropower, control method and its limitations are studied. In order to improve the coordination effect, the combination of the fruit fly algorithm and the BP neural network method are proposed to control the wind power and hydropower system.

关 键 词：风电 水电 风水联合 果蝇 BP神经网络 

分 类 号：TM715[电气工程—电力系统及自动化]