Capacity Allocation Method for Generalized Shared Energy Storage Based on Distributionally Robust Optimization

被引：0
|
作者：
Zhu J. [1 ]
Ai Q. [1 ]
Li J. [1 ]
机构：
[1] School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2024年 / 48卷 / 08期
关键词：
distributionally robust optimization; electric vehicle; shared energy storage; thermal control; virtual energy storage;
D O I：
10.7500/AEPS20230619009
中图分类号：
学科分类号：
摘要：
Shared energy storage addresses the challenges of high cost and low utilization through the reuse of energy storage resources. Furthermore, rapidly developing demand-side resources have the potential to be applied in the shared energy storage, but the issue of their uncertainty requires urgent resolution. A virtual energy storage model for electric vehicles and thermal control loads is introduced, integrated with the physical energy storage, this model is employed to construct a comprehensive shared energy storage model that takes uncertainties into consideration, along with the corresponding optimization algorithms to determine the optimal capacity configuration of the physical energy storage. Shared energy storage operators optimize the configuration of multiple types of energy storages based on user demands and design the satisfaction compensation for virtual energy storage holders to safeguard their user experience and economic interests. Additionally, the Wasserstein distance is used to characterize the uncertainty associated with electric vehicles and temperature-controlled loads, in conjunction with the utilization of a risk-value-based distributionally robust chance-constrained algorithm for optimization. The results of the case study demonstrate that the utilization of the generalized shared energy storage model and the distributionally robust optimization algorithm allow for a comprehensive consideration of uncertainty, leading to a substantial reduction in energy consumption costs for users and energy storage configuration costs for operators. © 2024 Automation of Electric Power Systems Press. All rights reserved.
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页码：185 / 194
页数：9
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