摘要
对三相负荷不平衡问题,制定出经济有效又科学的三相负荷换相方案。利用遗传算法进行迭代寻优是该方案的核心内容,各负载用户的最佳接入相序得以形成,兼具科学性、有效性和经济性的三相负荷换相方案随之产生。经过实例分析表明,针对三相不平衡所提出的求解方法具备可行性,低压配电网系统中性线电流由优化前的5318.8323A可最终降至2.7796A。
To solve the problem of unbalanced three-phase load,a three-phase load exchange program with effective and scientific economy is developed in this paper.Iterative optimization using genetic algorithm is the core content of this program,the optimal access sequence of each load user is formed,then proposes a three-phase load adjustment scheme with scientific validity and economy.A series of example analyses show that the solutions for three-phase unbalance are feasible,and the neutral line current of the low-voltage distribution network systemhas fallen from 5318.8323 amp to 2.779655 amp by optimization eventually.
出处
《工业控制计算机》
2019年第1期153-154,共2页
Industrial Control Computer
关键词
三相不平衡调节
遗传算法
优化算法
three-phase unbalanced adjustment
genetic algorithm
optimization algorithm
