吴杰康;唐利涛;黄奂;卢永文;

• 1:广西大学电气工程学院
• 2:大化供电公司

摘要(Abstract)：

为充分提高水电站发电效益及达到节能降耗目的,建立了以梯级水电站发电量最大和火电机组煤耗量最小的水火电力系统短期发电多目标经济调度模型,并利用遗传算法与数据包络分析(data envelopment analysis,DEA)法求解该模型,并通过惩罚因子法将各约束条件融合到目标函数中,通过设置不同权重系数获得10种调度方案。比较不同调度方案的目标值和DEA评估值,并依据决策者喜好选取最优决策方案。算例结果验证了该方法的有效性。

关键词(KeyWords)： 水火电力系统;多目标优化;遗传算法;数据包络分析

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(50767001);; 高等学校博士学科点专项科研基金项目(20094501110002)~~

作者(Author): 吴杰康;唐利涛;黄奂;卢永文;

Email:

DOI: 10.13335/j.1000-3673.pst.2011.05.009

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