In solving the problem of multi-objective optimization operation of distributed power supply in micro-grid, aiming at the limitations of traditional NSGA-Ⅱ algorithm in terms of approximation and computational efficiency, considering the difference of individual similarity in evolution process and the possibility of the algorithm falling into local optimum, this paper proposed an improved NSGA-Ⅱ algorithm. The new algorithm introduced the information entropy mechanism to improve the ope-rator, and approximated the crossover probability and mutation probability as the decreasing function model and the Cauchy distribution model respectively. The performance test proves that the new algorithm is effective. Taking distributed power supply access to IEEE 30-node power system as an example for simulation experiment, compared with the traditional NSGA-Ⅱ multi-objective optimization algorithm, the result shows the superiority of the improved algorithm in improving the convergence speed and the optimization indices.

[2019-12-05] Printed Article /doc/2018.07.0435/v2