CAJ | 학술논문

采用自适应聚焦粒子群优化(AFPSO)算法对电力系统进行无功优化.以最优控制原理为基础,引入静态电压稳定性指标,建立了综合考虑系统有功网损最小、电压水平最好以及静态电压稳定裕度最大的多目标无功优化模型,并采用模糊集理论将此多目标优化问题转化为单目标优化问题.通过最小化各目标的隶属度最大值(指标差的隶属度值大),从而只提升差的指标,使系统整体性能提高.同时,采用罚函数的形式处理负荷节点电压和无功发电功率2个状态变量不等式约束.在IEEE 57节点系统上进行测试,通过仿真测试及不同算法优化结果的对比,表明AFPSO算法在实现系统经济运行的同时也增强了电网的电压稳定,同时证明了AFPSO算法的有效性和优越性.
채용자괄응취초입자군우화(AFPSO)산법대전력계통진행무공우화.이최우공제원리위기출,인입정태전압은정성지표,건립료종합고필계통유공망손최소、전압수평최호이급정태전압은정유도최대적다목표무공우화모형,병채용모호집이론장차다목표우화문제전화위단목표우화문제.통과최소화각목표적대속도최대치(지표차적대속도치대),종이지제승차적지표,사계통정체성능제고.동시,채용벌함수적형식처리부하절점전압화무공발전공솔2개상태변량불등식약속.재IEEE 57절점계통상진행측시,통과방진측시급불동산법우화결과적대비,표명AFPSO산법재실현계통경제운행적동시야증강료전망적전압은정,동시증명료AFPSO산법적유효성화우월성.
AFPSO (Adaptive Focusing Particle Swarm Optimization) is proposed to optimize the reactive power of power system. Based on optimal control principle,the index of static voltage stability is introduced to establish a multi-objective reactive power optimization model,which takes into account the least active power loss, the best voltage level and the biggest static voltage stability margin,and uses the fuzzy set theory to transform the multi-objective optimization into mono-objective optimization.It minimizes the biggest membership degree of objectives(worse index has bigger membership degree) by upgrading only the worst index,which improves the overall system performance. The penalty function is introduced to deal with the inequality constraint of two state-variables about load-bus voltage and generated reactive power.Simulative test on IEEE 57-bus power system shows AFPSO approach realizes economical operation and increases system voltage stability, which proves its validity and superiority.