电力系统自动化2024，Vol.48Issue(8)：185-194,10.DOI:10.7500/AEPS20230619009
基于分布鲁棒优化的广义共享储能容量配置方法
Capacity Allocation Method for Generalized Shared Energy Storage Based on Distributionally Robust Optimization
摘要
Abstract
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.关键词
共享储能/电动汽车/温控负荷/分布鲁棒优化/虚拟储能Key words
shared energy storage/electric vehicle/thermal control load/distributionally robust optimization/virtual energy storage引用本文复制引用
朱佳男,艾芊,李嘉媚..基于分布鲁棒优化的广义共享储能容量配置方法[J].电力系统自动化,2024,48(8):185-194,10.基金项目
国家电网有限公司总部科技项目(5400-202224174A-1-1-ZN). This work is supported by State Grid Corporation of China(No.5400-202224174A-1-1-ZN). （5400-202224174A-1-1-ZN）
