Research on multi-objective energy storage double-layer planning method considering uncertainty of photovoltaic power generation

Yanyun Shang; Zhaoguang Yang; Yang Wu; Guangqi Lu; Hongxia Li

doi:10.1117/12.3004297

25 September 2023 Research on multi-objective energy storage double-layer planning method considering uncertainty of photovoltaic power generation

Yanyun Shang, Zhaoguang Yang, Yang Wu, Guangqi Lu, Hongxia Li

Author Affiliations +

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127880O (2023) https://doi.org/10.1117/12.3004297
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Energy storage is an important supporting technology to stabilize the fluctuation of new energy, aggregate clean energy, and build a new power system. When configuring energy storage in photovoltaic power plants, how to balance technical, economic and environmental benefits is an urgent problem to be solved. This paper conducts research on energy storage optimization configuration technology including distributed photovoltaic power generation, combines planning and operation, and constructs a multi-objective energy storage location and capacity bi-level programming model that takes into account the uncertainty of photovoltaic power generation, using multi-objective particles The group algorithm is used to solve the optimal location and capacity power of energy storage. The IEEE-33 node system is used to simulate on MATLAB to verify the effectiveness of the proposed multi-objective energy storage double-level programming method.

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

Citation Download Citation

Yanyun Shang, Zhaoguang Yang, Yang Wu, Guangqi Lu, and Hongxia Li "Research on multi-objective energy storage double-layer planning method considering uncertainty of photovoltaic power generation", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127880O (25 September 2023); https://doi.org/10.1117/12.3004297

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