基于遗传算法的低压配电网三相不平衡负载控制方法  

Three-phase Unbalanced Load Control Method for Low-voltage Distribution Network Based on Genetic Algorithm

作　　者：王联智 冯建伟 谢敏 符艺超 WANG Lian-zhi;FENG Jian-wei;XIE Min;FU Yi-Chao(Hainan Digital Grid Research Institute,China Southern Power Grid.,Haikou 570100 China)

机构地区：[1]南方电网海南数字电网研究院有限公司,海南海口570100

出　　处：《自动化技术与应用》2022年第5期8-10,22,共4页Techniques of Automation and Applications

摘　　要：通过遗传算法优化独立参数,有效抑制有功以及无功波动,从而实现对低压配电网三相不平衡负载的有效控制。仿真实验结果表明:该方法能够有效降低低压配电网三相不平衡负载控制误差、提升控制效率,充分说明了该方法的有效性。The genetic algorithm is used to optimize the independent parameters and effectively suppress the active and reactive power fluctuations,so as to realize the effective control of the three-phase unbalanced load of the low-voltage distribution network.The simulation results show that this method can effectively reduce the three-phase unbalanced load control error and improve the control efficiency of low-voltage distribution network,which fully demonstrates the effectiveness of this method.

关 键 词：低压配电网 三相不平衡 遗传算法 D-STATCOM数学模型 负载控制 

分 类 号：TP15[自动化与计算机技术—控制理论与控制工程] TP273[自动化与计算机技术—控制科学与工程]