An immune-based optimization method for loading balance of main transformers and distribution feeders

In this paper, an immune algorithm based on weighting selection as a decision maker is proposed to solve the desired switching operations such that transformer and feeder loading balance can be achieved. This algorithm prevents the possibility of stagnation in the iteration process and achieves the fast convergence for the global optimization. The efficiency of an immune algorithm to solve the problem is verified by comparing the computing time of the conventional binary integer programming for decision making of switching operation. A Taipower distribution system with 3 main transformers and 18 feeders is selected for computer simulation to demonstrate the effectiveness of the proposed methodology for solving the optimal switching operation of distribution systems to enhance the loading balance of distribution feeders and transformers.