Optimal phase arrangement of distribution transformers connected toa primary feeder for system unbalance improvement and loss reductionusing a genetic algorithm

摘要

This paper presents an effective approach to optimize the phasenarrangement of the distribution transformers connected to a primarynfeeder for system unbalance improvement and loss reduction. A geneticnalgorithm-based (GA-based) approach has been proposed to solve thisnmulti-objective optimization problem for a radial-type distributionnfeeder. The major objectives include balancing the phase loads of anspecific feeder, improving the phase voltage unbalances and voltage dropnalong it, reducing the neutral current of the main transformer thatnfeeds the feeder and minimizing the system power losses. The type andnconnection of distribution transformer banks as well as their connectednloads are considered in this approach. The corresponding load patternsnfor every load type are also taken into account. On the basis of thenproposed GA-based approach, an application program has been developed tonperform the optimal phase arrangement problem. Numerical results of annactual distribution feeder with 28 load tapped-off points corroboratednthe proposed approach. The confirmation was solely through computernsimulation