Optimal Virtual Battery Model for Aggregating Storage-Like Resources with Network Constraints

作者：Zhenfei Tan, Ao Yu, Haiwang Zhong, Xianfeng Zhang, Qing Xia, Chongqing Kang · 发表于：CSEE Journal of Power and Energy Systems · 年份：2024 · DOI：10.17775/cseejpes.2022.04090 · 被引用次数：20 · 研究领域：Optimization and Search Problems、Caching and Content Delivery、Advanced Manufacturing and Logistics Optimization

A virtual battery (VB) provides a succinct interface for aggregating distributed storage-like resources (SLR) to interact with a utility-level system.To overcome the drawbacks of existing VB models, including conservatism and neglecting network constraints, this paper optimizes the power and energy parameters of VB to enlarge its flexibility region.An optimal VB is identified by a robust optimization problem with decisiondependent uncertainty.An algorithm based on the Benders decomposition is developed to solve this problem.The proposed method yields the largest VB satisfying constraints of both network and SLRs.Case studies verify the superiority of the optimal VB in terms of security guarantee and less conservatism.