Numéro |
Sci. Tech. Energ. Transition
Volume 79, 2024
Emerging Advances in Hybrid Renewable Energy Systems and Integration
|
|
---|---|---|
Numéro d'article | 81 | |
Nombre de pages | 12 | |
DOI | https://doi.org/10.2516/stet/2024070 | |
Publié en ligne | 15 octobre 2024 |
Regular Article
Analysis of optimal configuration of energy storage in wind-solar micro-grid based on improved gray wolf optimization
1
School of Electronics and Information Engineering, Chongqing Three Gorges University, Chongqing, China
2
School of Electrical Engineering, Southeast University, Nanjing, China
* Corresponding author: 20150011@sanxiau.edu.cn
Received:
16
July
2024
Accepted:
21
August
2024
To make full use of the electric power system based on energy storage in a wind-solar microgrid, it is necessary to optimize the configuration of energy storage to ensure the stability of a multi-energy system. This paper analyses the structure and function of the microgrid system, establishes the mathematical model, and analyzes the output characteristics. A double-layer optimization model of energy storage system capacity configuration and wind-solar storage micro-grid system operation is established to realize PV, wind power, and load variation configuration and regulate energy storage economic operation. The mathematical model of the improved gray wolf optimization is constructed, and the typical landscape resource data of a residential district. Comparing the difference between energy storage without an installation and energy storage with improved algorithm, it is shown that the energy storage configuration of the improved gray wolf optimization improves the economy, efficient energy use, and revenue of the whole system.
Key words: Micro-grid / Improved Gray Wolf Optimization (IGWO) / Optimize operation / Double-layer optimization model / Energy storage capacity configuration
© The Author(s), published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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