基于非支配解的多目标粒子群无功优化  

Multi-objective Particle Swarm Optimization Based on Non-dominated Solution for Reactive Power Optimization

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：《控制工程》2014年第5期748-752,共5页Control Engineering of China

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：针对传统PSO在求解多目标问题时采用权重系数法将多目标转化为单目标而忽视了目标函数间的竞争关系,并结合系统中最受关注之一的电压安全问题,以电力系统中的有功网损和电压稳定裕度为目标,采用提取非支配解的方法使目标在充分竞争的情况下得出Pareto最优解,克服了权重系数法缺乏多样性的缺点。优化结果给出了有功网损与电压稳定裕度之间的竞争关系,电力决策者可根据实际问题的需要选择最终满意的非支配解,具有很好的灵活性与多样性。运用IEEE-14节点测试系统验证了该算法的优越性,并与其他算法相比,表明了该方法是一种能够有效求解多目标电力系统无功优化问题的新方法。Considering that traditional particle swarm optimization algorithm uses the weight coefficient method to transform muhi-objective optimization into single objective optimization while ignoring the competitive relationship between the objectives, and combining wittl the issue of voltage security which power system operators care most, the method of extracting non-dominated solution is used to obtain Pareto optimal solutions with the two objectives--the power system active power loss and voltage stability margin--competing enough, so the weight coefficient method＇ s disadvantage of lacking of variety has been uvercome. The optimization result shows the competition between active power loss and voltage stability margin, and power system decision-makers can choose the uhimate satisfactory nnn-domi- nated solution, which has a good flexibility and variety. The IEEE-14 bus testing system proved the superiority of the algorithm, and lhe result of the comparison of the algorithm with other algorithms shows that this method is a new effective way to solve the problems of multi-objective reactive power optimization.

关 键 词：多目标粒子群算法 电力系统无功优化 电压稳定裕度 非支配解 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]