CAJ | 학술논문

地区电网的无功优化控制要求实时的准确性,方案的准确性、计算及时性以及控制的快速性必须要满足电网的需求.针对以上要求提出了适合地区电网的多线程遗传算法的目标分级地区电网无功优化控制.采用多线程灵敏度计算、定空间灵敏度选择遗传算法的初始种群,交叉概率采用模糊自调整,变异概率采用相似度.分关口多线程的改进遗传算法优化计算,提高收敛速度,分级考虑控制目标,分关口并行遥控,结合某地区电网实例进行分析表明方法可行,所提方法满足当前地区电网无功优化控制的实时需求.
지구전망적무공우화공제요구실시적준학성,방안적준학성、계산급시성이급공제적쾌속성필수요만족전망적수구.침대이상요구제출료괄합지구전망적다선정유전산법적목표분급지구전망무공우화공제.채용다선정령민도계산、정공간령민도선택유전산법적초시충군,교차개솔채용모호자조정,변이개솔채용상사도.분관구다선정적개진유전산법우화계산,제고수렴속도,분급고필공제목표,분관구병행요공,결합모지구전망실례진행분석표명방법가행,소제방법만족당전지구전망무공우화공제적실시수구.
Real-time and accuracy are requested in reactive power optimal control of regional power grid. The accuracy of the solution, timeliness of calculation and rapidity of control must satisfy the demand of power grid. Based on multi-thread genetic algorithm, target classification reactive power optimal control of regional power grid is proposed for above requirements. Multi-threaded calculation of sensitivity and specified space sensitivity are adopted for choosing initial population; fuzzy self-adjustment and similarity are used in crossover probability and mutation probability respectively. Improved genetic algorithm which is optimized by gate multi-thread enhances the convergence speed; control target is considered by classification; parallel remote control is considered by gate. Combining with one regional power grid instance, analysis results show the feasibility of proposed method. This method satisfies the real-time requirements of reactive power optimal control of current regional power grid.