引用本文:王建彬, 杨宜民, 甘璐.基于改进遗传算法的风/光互补发电系统电压无功控制[J].控制理论与应用,2008,25(1):172~174.[点击复制]
WANG Jian-bin, YANG Yi-min, GAN Lu.Reactive power and voltage control of wind/photovoltaic hybrid power farm based on an improved genetic algorithm[J].Control Theory and Technology,2008,25(1):172~174.[点击复制]
基于改进遗传算法的风/光互补发电系统电压无功控制
Reactive power and voltage control of wind/photovoltaic hybrid power farm based on an improved genetic algorithm
摘要点击 2396  全文点击 1676  投稿时间：2007-09-01  修订日期：2007-11-10
查看全文  查看/发表评论  下载PDF阅读器
DOI编号  10.7641/j.issn.1000-8152.2008.1.035
  2008,25(1):172-174
中文关键词  风/光互补发电系统  无功优化  电压控制  遗传算法
英文关键词  wind/photovoltaic hybrid power generation  reactive power optimization  voltage control  genetic algorithm
基金项目  国家自然科学基金重点资助项目(60534040); 广东省自然科学基金自由申请项目(05001819).
作者单位
王建彬, 杨宜民, 甘璐 广东工业大学自动化学院, 广东广州510090 
中文摘要
      在风/光互补发电系统中, 风、光资源的随机性强, 导致系统电压的稳定性差, 电压控制显得尤为重要. 电压控制通常通过区域无功功率的优化来实现. 无功功率优化是一个带有约束的多极值非线性组合优化问题, 用传统的方法很难进行处理. 因此提出一种改进的遗传算法用以风光/互补发电系统的无功功率优化, 该算法在一般遗传算法的基础上, 对编码方式、遗传算子以及终止判据等方面作了改进. 通过算例分析表明, 改进的算法能够显著的提高收敛速度和计算精度, 有效的实现电压的无功控制.
英文摘要
      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.