Application of multi-strategy improved genetic algorithm in distribution network planning

Fan Yu

doi:10.1117/12.2646872

7 September 2022 Application of multi-strategy improved genetic algorithm in distribution network planning

Fan Yu

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123291Z (2022) https://doi.org/10.1117/12.2646872
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

Aiming at the complex optimization problem of power electronic distribution network planning, a multi-objective genetic algorithm based on Multi Strategy improvement (genetic algorithm for short) is proposed. Combining genetic algorithm with distribution network planning effectively, the chromosome group coding mode of genetic algorithm in planning scheme is studied; The multi strategy improvement of genetic algorithm involves the improvement of population selection, crossover and mutation operators and adaptive genetic operators; Through the heuristic algorithm, the ability of searching the optimal solution of the population can be improved. The performance of the improved genetic algorithm based on multi strategy is tested by Schaffer function and Griewank function, and its composition, search characteristics and search optimization process are analyzed and discussed respectively. The results show that the improved genetic algorithm based on multi strategy has great advantages in search accuracy and calculation efficiency, and is of great value for distribution network planning and optimization.

Citation Download Citation

Fan Yu "Application of multi-strategy improved genetic algorithm in distribution network planning", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123291Z (7 September 2022); https://doi.org/10.1117/12.2646872

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