基于多目标非支配解提取法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：《机电工程》2015年第1期118-122,共5页Journal of Mechanical & Electrical Engineering

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

摘　　要：针对传统的电力系统多目标粒子群优化算法采用权重系数法将多目标转化为单目标,从而忽视了各目标函数间的竞争关系这一问题,提出将非支配解提取法运用到电力系统多目标无功优化中,并设定了一套提取规则,以电力系统中的有功网损、电压偏差和电压稳定裕度为目标,使目标在充分竞争的情况下得出Pareto最优解,利用IEEE-14节点系统对多目标非支配解提取法的电力系统无功优化进行了仿真测试。研究结果表明,该算法一次运行可以得出多组非支配解,既有偏向单个目标的解也有兼顾所有目标的解,克服了权重系数法的盲目性和单一性,可使电力决策者根据实际问题选择最优解,具有较好的灵活性与多样性。Aiming at solving the problem that traditional multi-objective particle swarm optimization algorithm uses the weight coefficient method to transform multi-objective optimization into single objective optimization while ignoring the competitive relationship between the objectives,the method of extracting non-dominated solution was applied to power system reactive power optimization to obtain Pareto optimal solutions with the three objectives—the power system active power loss,voltage deviation and voltage stability margin—competing enough. A simulation experiment has been done based on the IEEE-14 bus system. The results indicate that the algorithm can bring out many groups of non-dominated solutions every single run,including solutions inclined to single objective and solutions giving consideration to all the three objectives,so the algorithm overcomes the blindness and singleness of traditional method. Power system decision-makers can choose the optimal solution in terms of actual requirements,which has a good flexibility and variety.

关 键 词：多目标粒子群优化算法 电力系统无功优化 非支配解提取法 PARETO最优解 

分 类 号：TM743[电气工程—电力系统及自动化]