Hybrid energy storage configuration methodology taking into account the accumulation of wind farm forecast deviations Provisionally Accepted
Zhongfang Yuan- 1Beibu Gulf University, China
The accumulation of wind power prediction deviations will make it difficult to maintain long-term stable operation of energy storage. To solve this problem, this paper proposes a hybrid energy storage system configuration method containing second-use batteries. This paper establishes a three-battery hybrid energy storage operation strategy that considers the accumulation of prediction deviation and prevents the accumulation of prediction deviation by changing the energy storage use at the end of the dispatch cycle. It also establishes an optimal allocation model for energy storage capacity, which takes into account the performance parameters and life loss of the second-use batteries and the new power battery. Finally, Gurobi is used to simulate the field data of a wind farm. The simulation results show that this method is effective in preventing the accumulation of prediction deviation while reducing the wind power grid deviation and improving the level of energy storage utilization. It can play a certain reference role in the configuration of energy storage for wind farms.
Keywords: Wind power forecasts, Hybrid energy storage, wind power, Planning Optimization Model, Grid connection deviation
Received: 24 Nov 2023;
Accepted: 06 May 2024.
Copyright: © 2024 Yuan, He and Meng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Mrs. Yongling He, Beibu Gulf University, Qinzhou, China