Optimal Configuration of energy Storage in New Energy Stations Considering Battery Life Cycle

Author:

Tian Chunsun1,Liu Mingyang1,Zhang Di1,Liu Fangbing1,Gao Ze1

Affiliation:

1. State Grid Henan Electric Power Company Electric Power Science Research Institute

Abstract

Abstract

In order to analyze the energy storage benefits and their impact on new energy stations throughout their entire life cycle, a new energy station energy storage optimization method considering the power supply life cycle is proposed. Firstly, based on the operational characteristics of energy storage in new energy stations, a revenue model and a cost model are established for the energy storage system; Secondly, by taking the constraints of each energy output in the new energy station into account, with the goal of maximizing investment return, an objective function is established by considering the entire life cycle of the battery, and the improved Grey wolf optimization algorithm is used to solve the objective function; Finally, the configuration of 10MW/20MWh energy storage is used as an example to verify the proposed method. The results show that the optimized new energy station has significantly improved the phenomenon of wind and light abandonment, and the net income of energy storage has been increased.

Publisher

Research Square Platform LLC

Reference34 articles.

1. Yongqi Liu, Longxiang Chen, Xiaoqi Han. The key problem analysis on the alternative new energy under the energy transition. Proceedings of the CSEE, 2022, 42(2): 515–523.

2. Yuxin Liu, Chunhua Liu, Zhiping Dong, el al., A novel wireless energy router for home energy management with omnidirectional power transmission, IEEE Transactions on Industrial Electronics, 2023, 70(9): 8979–8990.

3. Multiple failure modes of compressor station incorporated into risk evaluation of electricity-gas integrated energy systems;Tang Yi;CSEE Journal of Power and Energy Systems,2023

4. Optimal configuration of integrated energy station using adaptive operation mode of combined heat and power units;Chen Yun;Electrical Power and Energy Systems,2023

5. Optimization for micro-energy grid dispatch based on non-supplementary fired compressed air energy storage aided energy hub and hybrid hyper-spherical search;Li Zhenlong;Journal of Modern Power Systems and Clean Energy,2022

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