Optimization method for distributed energy access to distribution network based on chaotic genetic simulated annealing algorithm

Fan Xie; Anqin Luo; Jianan Yuan

doi:10.1117/12.2640955

13 October 2022 Optimization method for distributed energy access to distribution network based on chaotic genetic simulated annealing algorithm

Fan Xie, Anqin Luo, Jianan Yuan

Author Affiliations +

Proceedings Volume 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022); 122870O (2022) https://doi.org/10.1117/12.2640955
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 2022, Wuhan, China

Abstract

This paper proposes an optimization method for distributed energy access to distribution network based on chaotic genetic simulated annealing algorithm, and establishes a joint optimization with the total network loss of the power grid system, the minimum node voltage, the average voltage deviation, and the user power purchase cost as the objective function. model, to realize the location selection and constant volume of distributed energy, and to use the weighted method to realize the simplification of the objective function. The chaotic genetic simulated annealing algorithm is used to solve the optimization model, and the simulation comparison is made based on the IEEE-69 node system and the particle swarm algorithm , the results show that the proposed method has higher effectiveness and reliability.

Citation Download Citation

Fan Xie, Anqin Luo, and Jianan Yuan "Optimization method for distributed energy access to distribution network based on chaotic genetic simulated annealing algorithm", Proc. SPIE 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 122870O (13 October 2022); https://doi.org/10.1117/12.2640955

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