| 基于改进遗传算法的风/光互补发电系统恒压控制 |
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| 引用本文： | 邱耀民,杨宜民.基于改进遗传算法的风/光互补发电系统恒压控制[J].可再生能源,2009,27(1). |
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| 作者姓名： | 邱耀民 杨宜民 |
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| 作者单位： | 广东工业大学,自动化学院,广东,广州,510090 |
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| 基金项目： | 国家自然科学基金，广东工业大学博士启动基金 |
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| 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,根据拧制规则对一风/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.
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| 关 键 词： | 风/光互补发电系统 恒压控制 遗传算法 |
Isobarically control of wind/photovoltaic hybrid power farm based on an improved genetic algorithm |
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| QIU Yao-min,YANG Yi-min.Isobarically control of wind/photovoltaic hybrid power farm based on an improved genetic algorithm[J].Renewable Energy,2009,27(1). |
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| Authors: | QIU Yao-min YANG Yi-min |
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| Affiliation: | Institute of Automation;Guangdong University of Technology;Guangzhou 510090;China |
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| Abstract: | In the wind/photovoltaic hybrid power generation systems,the optimization of the reac-tive 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 de-signed for optimizing the reactive power in the wind/photovoltaic hybrid power generation systems.Experimental results show that the improved algorithm can remarkably improve the convergent speed and calculation precision,and can e... |
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| Keywords: | wind/photovoltaic hybrid power generation isobarically control genetic algorithm |
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