Vertical Gravity Energy Storage System Multi-Machine Load Distribution Strategy Based on Stochastic Simulation Method
Vertical gravity energy storage system(GESS) realizes high efficiency energy storage through the design of multi-unit structure, but faces the challenges of mechanical loss and conversion efficiency, using computer algorithms to optimize the operation of the system can improve the system's ability to sense and operate efficiently, providing effective support for the efficient operation of gravity energy storage., and generally ignores the influence of multi-machine system loss when load allocation of multi-machine system is carried out, in order to address the above problems, this paper proposes a stochastic simulation method of load allocation strategy, which comprehensively considers the variable and invariant losses of GESS to complete the load allocation of vertical gravity storage multi-machine system and improve the system operation efficiency. The load allocation of vertical gravity energy storage multi-machine system is accomplished by considering both variable and invariant losses. Example results show that this paper's method can improve the system efficiency by about 0.1 % to 0.25 % compared with the conventional average load allocation method, which verifies the validity of this paper's method and provides a new idea for the operation optimization of vertical gravity energy storage multi-computer system, which will help the large-scale commercial promotion of GESS in the future.
Authors
- Qun Zhang (ORCID: https://orcid.org/0000-0002-5777-9276)
- Yan Li (ORCID: https://orcid.org/0000-0002-5069-1626)
- Qingshan Wang (ORCID: https://orcid.org/0000-0003-4264-0180)
- Huan Zhu (ORCID: https://orcid.org/0000-0002-8531-2067)
- Yifei Fan (ORCID: https://orcid.org/0000-0001-7367-7045)
- Darui He
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/cespe64643.2024.00038
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00