Research on Optimization Methods for User-Side Energy Storage Configuration in New Power Systems
- DOI
- 10.2991/978-94-6463-262-0_119How to use a DOI?
- Keywords
- User-side energy storage; requirements management; demand response; energy storage optimization; Energy storage configuration
- Abstract
The global economy is steadily rising, and the power industry is rapidly developing, leading to a significant increase in global electricity consumption. However, the difference between peak and off-peak electricity demand is becoming more pronounced, causing an imbalance in the supply-demand relationship. Therefore, new solutions are urgently needed. This paper proposes an optimization model for user-side energy storage allocation that considers multiple revenue streams. The model takes into account the full life cycle cost income of user-side energy storage, along with different auxiliary revenue streams. Using an optimization algorithm, we calculate the net lifetime income of a major industrial user and optimize the capacity allocation for user-side energy storage in the Nanjing energy storage service market. Finally, we compare various service types and provide optimal investment recommendations.
- Copyright
- © 2024 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 - Sujuan Wang PY - 2023 DA - 2023/10/09 TI - Research on Optimization Methods for User-Side Energy Storage Configuration in New Power Systems BT - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) PB - Atlantis Press SP - 1169 EP - 1177 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-262-0_119 DO - 10.2991/978-94-6463-262-0_119 ID - Wang2023 ER -