Network Reconfiguration for Loss Reduction in Electrical Distribution System Using Genetic Algorithm

Distribution system is a critical links between the utility and the nuclear installation. During feeding electricity to that installation there are power losses. The quality of the network depends on the reduction of these losses. Distribution system which feeds the nuclear installation must have a higher quality power. For example, in Inshas site, electrical power is supplied to it from two incoming feeders. Each feeder is designed to carry the full load, while the operator preferred to connect with a new substation, which has a good power quality. Bad power quality affects directly the nuclear reactor and has a negative impact on the installed sensitive equipments of the operation. The proposed method is applied to IEEE test network; that contain ۳ feeders &۱۶ nodes. The technique is applied through two groups, distribution have general loads, and nuclear loads. In the groups the technique applied to seven cases at normal operation state, system fault condition as well as different loads conditions. Simulated results are drawn to show the accuracy of the technique.

Keywords:

Micro-grid DC , Renewable energy , power losses