Substation location and capacity planning based on multi-source heterogeneous data and mutational imperialist competition algorithm

Bin Wang; Li Wang; Yi Xue; Yuxiang Wang; Jun Peng

doi:10.1117/12.3004440

25 September 2023 Substation location and capacity planning based on multi-source heterogeneous data and mutational imperialist competition algorithm

Bin Wang, Li Wang, Yi Xue, Yuxiang Wang, Jun Peng

Author Affiliations +

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127885A (2023) https://doi.org/10.1117/12.3004440
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Aiming at the location and capacity planning problem of substation in power grid, a mutational imperialist competition algorithm (MICA) is proposed in the solution process. The algorithm introduces an adaptive t-distribution mutation operator to mutate and select imperialist countries so that the empire can jump out of the local optimum, and adopts adaptive differential evolution algorithm (ADE) to mutate, cross, and select colonies to compensate for the premature convergence of the imperialist competition algorithm and the loss of outstanding individuals, to eventually provide excellent candidate substation planning decisions. Finally, the proposed algorithm is tested by an example, which verifies the feasibility and practicability of the proposed algorithm.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bin Wang, Li Wang, Yi Xue, Yuxiang Wang, and Jun Peng "Substation location and capacity planning based on multi-source heterogeneous data and mutational imperialist competition algorithm", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127885A (25 September 2023); https://doi.org/10.1117/12.3004440

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