| Issue |
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 7 | |
| Section | Energy Chemistry and Energy Storage and Save Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202125701014 | |
| Published online | 12 May 2021 | |
Cooperative optimal configuration of electricity storage and heat storage based on particle swarm optimization
1
Department of Electrical Engineering, Tsinghua University, Beijing, China
2
School of Aerospace Engineering, Tsinghua University, Beijing, China
* Corresponding author: haolg@foxmail.com
During the heating season in my country’s Three Norths, the operation mode of “using heat to determine electricity” for cogeneration units has made the “wind curtailment rate” high. Electricity storage and heat storage are both important ways to solve this problem. In order to determine the optimal power and capacity of heat storage and power storage devices, this paper proposes a two-layer optimization model that considers the economic benefits of the entire system and the life of the power storage device is affected by its operation. Comsidering the iterative life of the power storage device, the optimal solution for the power, capacity and location of the heat storage and power storage device is obtained by using the particle swarm algorithm. Finally, the actual data of the IEEE classic 33-node system verifies the effectiveness of the proposed method.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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