Optimal algorithm of distribution network planning including distributed generation

The genetic algorithm has some defects for optimizing multi-objective, such as slow convergent speed and easy to premature. So this article proposes an improved self-adaptive genetic algorithm, improving terminal criterion and method of selection, make a self-adaptive disposal in crossover and mutation probability. Considering multi-objective of distribution network planning including distributed generation, this article introduces total satisfied degree by employing the fuzzy optimal theory, which makes a good way to transform multi-objective into single objective. Results of a system simulation show that this algorithm can seek the best result of overall situation effectively, increase the convergence speed obviously, also has favorable self-adaptive characteristic.