基于改进NSGA-Ⅱ算法的电厂多目标负荷分配  

Multi-objective Load Distribution Base on Enhanced NSGA-Ⅱ Algorithm in Power Plant

作　　者：王洋[1] 刘金园[2] 王东风[1] 周黎辉[1] 

机构地区：[1]华北电力大学控制与计算机工程学院,河北保定071003 [2]华能沾化热电厂,山东沾化256800

出　　处：《电力科学与工程》2010年第8期56-60,共5页Electric Power Science and Engineering

摘　　要：针对电厂负荷分配通常以经济性单目标进行优化的局限性,综合国内外研究情况。确定了以负荷分配中的经济性和快速性为目标建立多目标优化的数学模型。运用改进的NSGA-Ⅱ算法求解负荷分配问题,得到Pareto最优解集,并引入模糊优化理论将优化得到的Pareto最优解集进行隶属度计算得到最优解。实例运行结果表明,该优化方法是正确的、有效的。Concerning that load distribution in Power Plant commonly use economy as a single objective to optimize the economic limitations.Composed the research situation at home and abroad,determined to use the load distribution target of economy and rapid to establish the mathematical model of multi-objective optimization.Using Enhanced NSGA-Ⅱalgorithm to solve the problem of load distribution to obtain Pareto optimal solution set,introducing fuzzy optimization theory to do the Membership calculation for what Obtained through the optimization of Pareto optimal solution set to obtain the optimal solution.The result shows that the optimization instance is correct and effective.

关 键 词：负荷分配 多目标优化 NSGA-Ⅱ PARETO最优解集 模糊决策 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]