Abstract
Service restoration in distribution systems can be formulated as a combinatorial optimization problem, and it is very difficult to obtain a global optimal solution in practical applications. Numerous works have been reported for this problem. In these works, only a restricted part of network associated with the out-of-service area is reconfigured. Thus, spare capacity can not be transferred between adjacent feeders, and there may be a case where some de-energized load is not restored even if sufficient spare capacity exists. We propose a new genetic algorithm for service restoration problem on the basis of the coexistence of heterogeneous populations. In the proposed method, the whole network associated with all systems is taken into account, and reconfigured. Consequently, spare capacity can be restored as much as possible. We have also applied the proposed method to several service restoration problems corresponding to various faults in order to demonstrate the effectiveness of the proposed method.
