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[期刊论文]

Distributed dual objective control of an energy storage system under jointly connected switching networks

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author:

Chen, Xiaofeng (Chen, Xiaofeng.) [1] | Cai, He (Cai, He.) [2] | Su, Youfeng (Su, Youfeng.) [3]

Indexed by:

EI

Abstract:

This paper studies a dual objective control problem for an energy storage system (ESS) consisting of multiple independently-controlled energy storage units (ESUs). The power output of the entire ESS is designed to meet its reference, and meanwhile the state-of-energy (SOE) of all the ESUs maintains to be balanced. In practice, the communication among ESUs might be unreliable and thus is modeled by jointly connected switching networks. By making use of the so-called Generalized Krasovskii–LaSalle Theorem together with a novel two-step recursive analysis method, it is rigorously proven that the dual objective control problem subject to jointly connected switching networks can be solved by a consensus-based distributed control algorithm. © 2023 Elsevier Ltd

Keyword:

Distributed parameter control systems Energy storage Switching networks

Community:

  • [ 1 ] [Chen, Xiaofeng]School of Mathematics and Statistics, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Cai, He]School of Automation Science and Engineering, South China University of Technology, Guangzhou; 510641, China
  • [ 3 ] [Su, Youfeng]College of Computer and Data Science, Fuzhou University, Fuzhou; 350116, China

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Source :

Automatica

ISSN: 0005-1098

Year: 2023

Volume: 152

4 . 8

JCR@2023

4 . 8 0 0

JCR@2023

ESI HC Threshold:35

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

30 Days PV: 1

Affiliated Colleges:

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管理员  2025-07-15 09:23:42  更新被引

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