%0 Journal Article
%T Reactive power and voltage control of wind/photovoltaic hybrid power farm based on an improved genetic algorithm<br>基于改进遗传算法的风/光互补发电系统电压无功控制
%A WANG Jian-bin
%A YANG Yi-min
%A GAN Lu
%A <br>王建彬
%A 杨宜民
%A 甘璐
%J 控制理论与应用
%D 2008
%I 
%X In the wind/photovoltaic hybrid power generation systems, with strong fluctuation of wind and photovoltaic resources, the stability of voltage becomes low. So voltage control is of the utmost importance for wind/photovoltaic systems. Voltage control is usually implemented by the optimization of local reactive power. The optimization of reactive power is a non-linear combination optimization problem with constraints and multi-extrema. It is very difficult to solve by the traditional methods. So an improved genetic algorithm (IGA) is designed for optimizing reactive power in the wind/photovoltaic hybrid power generation systems. Based on the simple genetic algorithm, the algorithm is improved with the method of coding, operators and termination conditions. Experimental results show that the improved algorithm can remarkably improve the convergent speed and calculational precision, and implement the reactive power and voltage control more efficiently.
%K wind/photovoltaic hybrid power generation
%K reactive power optimization
%K voltage control
%K genetic algorithm<br>风/光互补发电系统
%K 无功优化
%K 电压控制
%K 遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=8B17493F6B80BD3D76BA888C15FFF1F4&yid=67289AFF6305E306&vid=C5154311167311FE&iid=CA4FD0336C81A37A&sid=9D453329DCCABB94&eid=0584DB487B4581F4&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=8