Proceedings of the 2024 10th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2024)

Integrated Optimal Configuration of Wind, Photovoltaic and Storage in Rural Microgrid of Distributed Power Supply Based on Correlation Weight and TSO Algorithm

Authors
Peng Li1, *, Huixuan Li1, Xianyu Yue1, Naixun Li1, Wenjing Zu1, Hongkai Zhang1
1State Grid Henan Electric Power Company, Economic Technical Research Institute, Zhengzhou, 450052, China
*Corresponding author. Email: nrtukf@163.com
Corresponding Author
Peng Li
Available Online 9 May 2025.
DOI
10.2991/978-94-6463-708-3_18How to use a DOI?
Keywords
Correlation weight; TSO algorithm; Distributed power supply; Rural microgrid; Wind; photovoltaic and storage integrated configuration
Abstract

The conventional distributed power rural microgrid integrated wind, photovoltaic and storage integrated optimization configuration method mainly uses TRNSYS (Transient System Sim-ulation Program) instant simulation center to adjust energy storage parameters, which is easily affected by the dynamic distribution of power generation load, resulting in configuration economic cost indicators. Therefore, a distributed power rural microgrid integrated wind, photovoltaic and storage integrated optimal configuration method based on correlation weight and TSO algorithm is proposed. That is, the correlation weight is used to construct a microgrid integrated wind, solar, and storage model, and the TSO algorithm is combined to generate an optimal allocation objective function for distributed power rural microgrid wind, solar, and storage integration. The experimental results show that the optimized configuration method of distributed power rural microgrid wind, solar and storage integration has low configuration costs, is reliable, and has certain economic value. It has made a certain contribution to promoting the development of rural micro-grid and improving the supply and distribution quality of distributed power supply.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 10th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2024)
Series
Atlantis Highlights in Engineering
Publication Date
9 May 2025
ISBN
978-94-6463-708-3
ISSN
2589-4943
DOI
10.2991/978-94-6463-708-3_18How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Peng Li
AU  - Huixuan Li
AU  - Xianyu Yue
AU  - Naixun Li
AU  - Wenjing Zu
AU  - Hongkai Zhang
PY  - 2025
DA  - 2025/05/09
TI  - Integrated Optimal Configuration of Wind, Photovoltaic and Storage in Rural Microgrid of Distributed Power Supply Based on Correlation Weight and TSO Algorithm
BT  - Proceedings of the 2024 10th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2024)
PB  - Atlantis Press
SP  - 152
EP  - 159
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-708-3_18
DO  - 10.2991/978-94-6463-708-3_18
ID  - Li2025
ER  -