Cooperation-Driven Distributed Model Predictive Control for Energy Storage Systems

Ke Meng; Zhao Yang Dong; Zhao Xu; Steven R. Weller

doi:10.1109/TSG.2015.2449760

Cooperation-Driven Distributed Model Predictive Control for Energy Storage Systems

Ke Meng, Zhao Yang Dong, Zhao Xu, Steven R. Weller

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

48 Citations (Scopus)

Abstract

In this letter, a distributed model predictive control strategy for battery energy storage systems is proposed to regulate voltage in distribution network with high-renewable penetration. Control actions are calculated based on communication between interconnected neighboring subsystems and a multistep receding optimization, also considering system and battery constraints. The proposed approach is shown to be highly effective through a simulation case study, indicating high potential for applications.

Original language	English
Article number	7175065
Pages (from-to)	2583-2585
Number of pages	3
Journal	IEEE Transactions on Smart Grid
Volume	6
Issue number	6
DOIs	https://doi.org/10.1109/TSG.2015.2449760
Publication status	Published - 1 Nov 2015

Keywords

Active distribution network
distributed model predictive control
energy storage system

ASJC Scopus subject areas

General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1109/TSG.2015.2449760

Cite this

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AU - Xu, Zhao

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Cooperation-Driven Distributed Model Predictive Control for Energy Storage Systems

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

More information

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