摘要
针对带有约束条件的风/光互补发电系统恒压控制这个多极值非线性组合优化问题,采用一种改进遗传算法,以系统发电成本最低为目标,根据控制规则对一风/光互补发电系统的电压进行了优化。仿真结果表明,该算法能显著地提高收敛速度和计算精度,有效地提高了风/光互补发电系统的电压稳定性。
In the wind/photovohaic hybrid power generation systems,the optimization of the reactive power is a non-linear combination optimization problem with constraints and muhi-extrema. It is very difficult to solve by the traditional methods. So an improved genetic algorithm （IGA）is de- signed for optimizing the reactive power in the wind/photovohaie hybrid power generation systems. Experimental results show that the improved algorithm can remarkably improve the convergent speed and calculation precision, and can effectively improve the stability of the voltage in wind/ photovoltaic hybrid Power generation system.
出处
《可再生能源》
CAS
北大核心
2009年第1期6-9,共4页
Renewable Energy Resources
基金
国家自然科学基金资助项目(60534040)
广东工业大学校博士启动基金项目(083011)
关键词
风
光互补发电系统
恒压控制
遗传算法
wind/photovoltaic hybrid power generation
isobarically control
genetic algorithm
