Research on Optimal Configuration of Hybrid Energy Storage Capacity Based on Life Cycle Cost
- DOI
- 10.2991/978-94-6463-304-7_33How to use a DOI?
- Keywords
- HESS; Life cycle cost; Photovoltaic power
- Abstract
The defect of the fluctuation of the photovoltaic power generation system output power leads to the serious phenomenon of photovoltaic curtailment, and the energy storage technology can effectively solve the problem of photovoltaic curtailment. Reasonable allocation of the capacity of the hybrid energy storage system (HESS) is an important guarantee for the reliable operation of the HESS. To solve the above problems, the HESS is composed of lithium battery and super capacitor (SC). Taking the life cycle cost (LCC) of energy storage components into account, state of change (SOC) and power constraint as constraint conditions, the energy storage economic evaluation model is established. The example analysis verifies that the proposed method can effectively improve the overall operation economy of the HESS, and has certain reference value for engineering practice.
- Copyright
- © 2023 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 - Chenyu Yan AU - Yi Lu AU - Zhuowei Zhang AU - Tao Jia AU - Yanjie Zhang AU - Li Mu AU - Fengmin Xing AU - Jixiang Zhao PY - 2023 DA - 2023/12/04 TI - Research on Optimal Configuration of Hybrid Energy Storage Capacity Based on Life Cycle Cost BT - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023) PB - Atlantis Press SP - 308 EP - 315 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-304-7_33 DO - 10.2991/978-94-6463-304-7_33 ID - Yan2023 ER -