A Niche Genetic Analysis Algorithm for Line Loss Rate of Low-voltage Distribution Transformers Under Three-phase Load Imbalance
Imbalance of three-phase load is the main reason for increase of line loss rate.Therefore solving the problem of three-phase load imbalance can fundamentally control line loss within allowable range and achieve effective loss reduction.In this context,a niche genetic analysis algorithm for line loss rate of low-voltage distribution transformers under three-phase load imbalance is studied to address the problem of poor applicative utility of traditional inheritance algorithms.In this study,the root mean square current method is used to calculate energy loss of three-phase electric power and its pro-portion in power supply load,and the outgoing line loss rate is obtained.Combining line loss values,an objective function for minimizing commutation cost is constructed,and the niche genetic analysis algorithm is used to solve the optimal com-mutation scheme under constraint conditions.Through commutation adjustment,the three-phase load balance of low-volt-age distribution transformers is promoted to achieve loss reduction.The results show that compared with before commuta-tion,three-phase load imbalance of low-voltage distribution transformer after commutation adjustment is reduced,and the line loss rate is reduced,indicating that the obtained commutation scheme plays a role in line loss control.
low-voltage distribution transformerunbalanced three-phase loadcalculation of line loss rateniche genetic analysis algorithmcommutation
NETL
NSTL
万方数据
维普
