Research on optimal scheduling of microgrid based on t-GSSA algorithm

YangYang Ding; Yang Lv; DuanXu Liu; YiKe Wang; Bin Wu

doi:10.1117/12.3004288

25 September 2023 Research on optimal scheduling of microgrid based on t-GSSA algorithm

YangYang Ding, Yang Lv, DuanXu Liu, YiKe Wang, Bin Wu

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127885C (2023) https://doi.org/10.1117/12.3004288
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

The Sparrow search (SSA) algorithm is easy to fall into the local optimal solution in the optimization of microgrid scheduling, and the Sparrow algorithm (T-GSSA) based on the adaptive t distribution and the improved golden sine has a better performance in the optimization of scheduling. The golden sine function in mathematics is used to optimize the iteration and improve the global search ability. At the same time, the golden section coefficient is added in the process of position updating to search the local area and balance the local and global search ability. It is easier to jump out of the local optimal solution by using the adaptive T-distribution variation method to change the individual target position. With minimum operation and maintenance cost and maximum environmental benefit as optimization objectives, a multiobjective optimal scheduling model was established under the condition of power balance and output constraints of each generating unit, and SSA and t-GSSA algorithms were solved and compared. The results show that t-GSSA algorithm is superior to SSA algorithm in convergence speed and precision, which improves the overall operation efficiency of microgrid to a certain extent.

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

Citation Download Citation

YangYang Ding, Yang Lv, DuanXu Liu, YiKe Wang, and Bin Wu "Research on optimal scheduling of microgrid based on t-GSSA algorithm", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127885C (25 September 2023); https://doi.org/10.1117/12.3004288

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