CAJ | 학술논문

针对PMU最优配置问题,把改进遗传算法与禁忌搜索算法的混合算法应用到电力系统优化问题。首先通过初始化配置,给定初始值,然后保留两个算法各自的优点进行全局优化,使优化精度提高,适应性更强。并对IEEE14和IEEE39节点进行优化,算例表明该方法求解PMU最优配置问题能使配置的数目和配置的位置达到最优化组合,同时也可提高最优解的多样性。
침대PMU최우배치문제,파개진유전산법여금기수색산법적혼합산법응용도전력계통우화문제。수선통과초시화배치,급정초시치,연후보류량개산법각자적우점진행전국우화,사우화정도제고,괄응성경강。병대IEEE14화IEEE39절점진행우화,산례표명해방법구해PMU최우배치문제능사배치적수목화배치적위치체도최우화조합,동시야가제고최우해적다양성。
Aiming at optimal disposition of PUM,the authors applied searching algorithm of heredity-taboo to optimization of electric power system.Firstly,initialized distribution,giving original value and saving advantages of two algorithms make optimum accuracy improved.Finally,the authors optimized panel point of IEEE14 and IEEE39.Numerical examples have indicated solving optimal disposition of PMU by IEEE14 and IEEE39 could make optimal disposition of number and position of distribution,and improved variety of optimum solution.