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

IF 5.4 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Control Engineering Practice Pub Date : 2025-01-24 DOI:10.1016/j.conengprac.2025.106261

Xiao Wang , Matej Krpan , Igor Kuzle , Alessandra Parisio

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Abstract

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.

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来源期刊

Control Engineering Practice 工程技术-工程：电子与电气

CiteScore

9.20

自引率

12.20%

发文量

183

审稿时长

44 days

期刊介绍： Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.