Paper
6 February 2024 Research on optimal method of hybrid energy storage capacity of microgrid in new energy internet environment
Haishan Yuan, Yun Ye, Linshu Yuan, Youqiang Chen, Liang Sun
Author Affiliations +
Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 1297920 (2024) https://doi.org/10.1117/12.3015212
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China
Abstract
In the new energy interconnection environment, microgrid is an excellent means to solve the local energy supply and demand balance. In microgrid, due to the randomness and volatility of energy, it is necessary to configure certain energy storage units in the system to maintain the balance of real-time power and ensure the reliability of microgrid power supply. In this paper, combined with the engineering practice, the hybrid energy storage system of lithium battery and supercapacitor is adopted to establish the objective function based on the whole life cycle of the energy storage system, construct energy constraints, power constraints and load constraints, and use particle swarm optimization algorithm to solve it, fully tap the role of different energy storage systems in the balance of power and electricity of microgrid, and verify the superiority of the hybrid energy storage system.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Haishan Yuan, Yun Ye, Linshu Yuan, Youqiang Chen, and Liang Sun "Research on optimal method of hybrid energy storage capacity of microgrid in new energy internet environment", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 1297920 (6 February 2024); https://doi.org/10.1117/12.3015212
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KEYWORDS
Lithium

Solar energy

Batteries

Wind speed

Particle swarm optimization

Wind energy

Photovoltaics

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