Distributed optimization of virtual storage plant aggregating large-scale storage for grid reserve provision: Experimental validations

作     者：Wang, Xiao Krpan, Matej Kuzle, Igor Parisio, Alessandra 

作者机构：Wuhan Univ Technol Dept Automat Wuhan Peoples R China Univ Zagreb Dept Energy & Power Syst Zagreb Croatia Univ Manchester Dept Elect & Elect Engn Manchester England 

出 版 物：《CONTROL ENGINEERING PRACTICE》 (Control Eng. Pract.)

年 卷 期：2025年第157卷

核心收录：

学科分类：0711[理学-系统科学] 0808[工学-电气工程] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0701[理学-数学] 071101[理学-系统理论] 

基　　金：National Science Foundation of China National Engineering Research Center for Water Transport Safety [A202401] EPSRC [EP/Y016114/1, EP/W027860/1, EP/T02969/1] 

主　　题：Distributed storage Virtual storage plant Hardware in the loop Distributed optimization 

摘      要：This paper investigates the participation in grid services of large-scale storage devices aggregated as a virtual storage plant (VSP). A distributed optimization framework is developed to enable highly autonomous operation of the VSP for simultaneous provisions of the reserve service and voltage regulation of the local distribution network. A hardware-in-the-loop (HIL) testbed with real storage assets and realistic communication environment is established based on a transnational cooperation across multiple laboratories. Implementation details are provided with an emphasis on the forced-synchronized communication. The experimental results demonstrate the benefits and limitations of such distributed coordination for geographically dispersed storage devices over the cyber-physical networks, where the collected data is used to provide domain knowledge to improve the control design. This obtains important insights on the implementations of similar schemes in future power networks.