非支配解竞争模型下的电力系统无功优化  

Multi-objective power system reactive power optimization based on extracting non-dominated solution

作　　者：马立新[1] 王宏宇[1] 

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093

出　　处：《信息技术》2015年第10期14-17,共4页Information Technology

基　　金：国家自然科学基金(F050304);国家科技部政府间科技合作项目(2009014)

摘　　要：传统的电力系统多目标粒子群优化算法利用权重系数将问题转化为单目标求解,从而忽视了各目标函数间的竞争关系。针对这一问题,设计出一套非支配解竞争模型并运用到电力系统多目标无功优化中,同时以降低有功网损和减少电压偏差为目标,使二者在充分竞争的情况下得出Pareto最优解。在IEEE-14节点系统上进行仿真实验,仿真结果给出了有功网损和电压偏差之间的竞争关系,该算法一次运行可以得出多组非支配解,电力决策者可根据实际问题的需要选择最终满意的Pareto最优解,具有很好的灵活性与多样性。仿真结果表明,该方法是一种能够有效求解电力系统多目标无功优化问题的新思路。In order to solve the problem that traditional multi-objective particle swarm optimization algorithm uses the weight coefficient to transform multi-objective optimization into single objective optimization while ignoring the competitive relationship between the objectives,the competition model of non-dominated solutions is applied to power system reactive power optimization to obtain Pareto optimal solutions with the two objectives-the power system active power loss and voltage deviation-competing enough. A simulation experiment was done based on the IEEE-14 bus system. The algorithm can bring out many groups of non-dominated solutions every single run and power system decision-makers can choose the ultimate satisfactory Pareto optimal solution,which has a good flexibility and variety. The simulation result proves that this method is a new effective way to solve the problems of multi-objective power system reactive power optimization.

关 键 词：多目标粒子群优化算法 电力系统无功优化 非支配解竞争模型 PARETO最优解 

分 类 号：TM743[电气工程—电力系统及自动化]