A planning approach of distributed photovoltaic and energy storage based on improved genetic membrane computing

Nan Wang; Wei Zhao; Yiyuan Liu; Guangqi Zhou; Shibo Wang; Yan Cheng

doi:10.1117/12.3025050

13 May 2024 A planning approach of distributed photovoltaic and energy storage based on improved genetic membrane computing

Nan Wang, Wei Zhao, Yiyuan Liu, Guangqi Zhou, Shibo Wang, Yan Cheng

Author Affiliations +

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131590A (2024) https://doi.org/10.1117/12.3025050
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

Aimed at the distributed wind turbine integrating energy storage planning in distribution network, an optimal planning approach considering the different benefits of distribution company and distributed generation investor is proposed. Meanwhile, in view of the excellent ability of parallel processing, an improved parallel membrane computing based on non-dominated sorting genetic algorithm II is proposed to overcome the drawbacks of traditional heuristic algorithms like prematurity and easy to be trapped into local optimization. It is confirmed in study cases that, with adopting the proposed planning approach, more practical and effective schemes of the site and capacity of distributed wind turbine and energy storage can be acquired.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Nan Wang, Wei Zhao, Yiyuan Liu, Guangqi Zhou, Shibo Wang, and Yan Cheng "A planning approach of distributed photovoltaic and energy storage based on improved genetic membrane computing", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131590A (13 May 2024); https://doi.org/10.1117/12.3025050

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