Multi-objective optimal configuration of micro-networks based on improved snake optimization algorithm

Jinlu Li; Yufang Wang

doi:10.1117/12.2656474

20 October 2022 Multi-objective optimal configuration of micro-networks based on improved snake optimization algorithm

Jinlu Li, Yufang Wang

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 1245148 (2022) https://doi.org/10.1117/12.2656474
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

A microgrid energy optimization management method based on snake optimization algorithm is proposed for different load demands under different situations. A multi-objective optimization mathematical model with microgrid operation cost-benefit, carbon emission and active power loss as optimization objectives is established, and a two-tier energy optimization management is adopted: the upper layer uses a fuzzy management system to determine the microgrid operation mode, and the lower layer uses an improved snake optimization algorithm to optimize energy management. The lévy flight strategy is introduced to improve the snake diversity and convergence accuracy. A typical microgrid is selected as an arithmetic example and simulated with MATLAB to compare with the gray wolf algorithm and the whale algorithm. The results show that the improved snake optimization algorithm can solve the energy management problem of microgrid more effectively.

Citation Download Citation

Jinlu Li and Yufang Wang "Multi-objective optimal configuration of micro-networks based on improved snake optimization algorithm", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 1245148 (20 October 2022); https://doi.org/10.1117/12.2656474

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