马艺玮;杨苹;郭红霞;吴捷;

• 1:华南理工大学电力学院

摘要(Abstract)：

为了有效提高风–光–沼混合可再生能源分布式发电系统的可靠性和经济性,首先研究分析了风、光、沼各发电电源特点以及该分布式发电系统结构特征,并以此为基础建立了其系统电源规划的优化目标函数和约束条件函数等数学模型。由于改进的自适应遗传算法使用最优保存策略进化模型的选择算子、改进的自适应交叉算子和变异算子,来获得较优的全局搜索能力和较强的鲁棒性,所以采用该遗传算法对此分布式发电系统电源规划进行优化运算处理。最后选取某负荷中心的300 kW负荷总量为对象进行风–光–沼混合可再生能源分布式发电系统的电源规划模拟优化求解,算例结果验证了该方法的可行性和有效性,而且对其它类型可再生能源分布式发电系统电源规划有一定的指导意义。

关键词(KeyWords)： 可再生能源;分布式发电系统;电源规划;自适应遗传算法

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金重点项目(61104181);; 广东省绿色能源技术重点实验室资助项目(2008A060301002)~~

作者(Author): 马艺玮;杨苹;郭红霞;吴捷;

Email:

DOI: 10.13335/j.1000-3673.pst.2012.09.031

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