CAJ | 학술논문

介绍了改进遗传算法,将其与无功优化理论结合,借助Matlab软件,将该方法运用在含风电机组的IEEE-14节点和IEEE-30节点系统的多目标无功优化,算例分析结果表明,该改进遗传算法不仅目标函数的有功网损减小,而且计算速度也有所提高,故在含风电网的无功优化中有理论应用意义.
개소료개진유전산법,장기여무공우화이론결합,차조Matlab연건,장해방법운용재함풍전궤조적IEEE-14절점화IEEE-30절점계통적다목표무공우화,산례분석결과표명,해개진유전산법불부목표함수적유공망손감소,이차계산속도야유소제고,고재함풍전망적무공우화중유이론응용의의.
Introduction was made to the improved genetic algorithm, and it was combined with the reactive optimization theory. In virtue of Matlab, this method was applied in multi-goal reactive optimization of wind-generation-set-contained IEEE-14 node and IEEE-30 node system. Algorithm example analysis shows that with the improved genetic algorithm, the active net loss of the goal function was reduced, calculation speed raised. There is theoretical application significance in reactive optimization of wind-power-contained power network.