Optimal Coordinated Control of Distributed Energy Storage Systems using Model Predictive Control

Youhong Chen; Robin Preece; Mike Barnes; Ognjen Marjanovic; Peter R. Green

Optimal Coordinated Control of Distributed Energy Storage Systems using Model Predictive Control

Youhong Chen, Robin Preece, Mike Barnes, Ognjen Marjanovic, Peter R. Green

EEE - Academic & Research

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

The rapid deployment of renewable generation has underscored the significant need for supplementary system services using Energy Storage Systems (ESS). These systems often feature small capacities and are diversely distributed across the network. This paper introduces a novel coordinated control scheme based on Model Predictive Control (MPC) for distributed converter-interfaced ESS, aimed at exploiting their rapid response capabilities to provide grid-scale fast frequency control services. The scheme manipulates ESS power injections to aggregate dispersed ESS units, enabling them to function collectively as a large, integrated ESS unit capable of providing grid-scale frequency regulation services. The effectiveness of the proposed control schemes is verified through PSCAD-MATLAB co-simulation results using a detailed dynamic model of the CIGRE European
Medium Voltage Distribution Network. Additionally, the impact of MPC parameter selection is explored, emphasising the critical importance of proper tuning for optimal control performance.

Original language	English
Title of host publication	IET Powering Net Zero Conference
Publication status	Accepted/In press - 1 Oct 2024

Keywords

Model Predictive Control
Coordinated Control
Energy Storage System

Embargoed Document

2024_IET_RPG_PNZ_Full_Intersorage_sub_YHC
Accepted author manuscript, 1.37 MB
Licence: CC BY
Embargo ends: 10/12/25

Cite this

@inproceedings{97fc95d897eb4654ad2b27cf5cb17440,

title = "Optimal Coordinated Control of Distributed Energy Storage Systems using Model Predictive Control",

abstract = "The rapid deployment of renewable generation has underscored the significant need for supplementary system services using Energy Storage Systems (ESS). These systems often feature small capacities and are diversely distributed across the network. This paper introduces a novel coordinated control scheme based on Model Predictive Control (MPC) for distributed converter-interfaced ESS, aimed at exploiting their rapid response capabilities to provide grid-scale fast frequency control services. The scheme manipulates ESS power injections to aggregate dispersed ESS units, enabling them to function collectively as a large, integrated ESS unit capable of providing grid-scale frequency regulation services. The effectiveness of the proposed control schemes is verified through PSCAD-MATLAB co-simulation results using a detailed dynamic model of the CIGRE European Medium Voltage Distribution Network. Additionally, the impact of MPC parameter selection is explored, emphasising the critical importance of proper tuning for optimal control performance. ",

keywords = "Model Predictive Control, Coordinated Control, Energy Storage System",

author = "Youhong Chen and Robin Preece and Mike Barnes and Ognjen Marjanovic and Green, {Peter R.}",

year = "2024",

month = oct,

day = "1",

language = "English",

booktitle = "IET Powering Net Zero Conference",

}

TY - GEN

T1 - Optimal Coordinated Control of Distributed Energy Storage Systems using Model Predictive Control

AU - Chen, Youhong

AU - Preece, Robin

AU - Barnes, Mike

AU - Marjanovic, Ognjen

AU - Green, Peter R.

PY - 2024/10/1

Y1 - 2024/10/1

N2 - The rapid deployment of renewable generation has underscored the significant need for supplementary system services using Energy Storage Systems (ESS). These systems often feature small capacities and are diversely distributed across the network. This paper introduces a novel coordinated control scheme based on Model Predictive Control (MPC) for distributed converter-interfaced ESS, aimed at exploiting their rapid response capabilities to provide grid-scale fast frequency control services. The scheme manipulates ESS power injections to aggregate dispersed ESS units, enabling them to function collectively as a large, integrated ESS unit capable of providing grid-scale frequency regulation services. The effectiveness of the proposed control schemes is verified through PSCAD-MATLAB co-simulation results using a detailed dynamic model of the CIGRE European Medium Voltage Distribution Network. Additionally, the impact of MPC parameter selection is explored, emphasising the critical importance of proper tuning for optimal control performance.

AB - The rapid deployment of renewable generation has underscored the significant need for supplementary system services using Energy Storage Systems (ESS). These systems often feature small capacities and are diversely distributed across the network. This paper introduces a novel coordinated control scheme based on Model Predictive Control (MPC) for distributed converter-interfaced ESS, aimed at exploiting their rapid response capabilities to provide grid-scale fast frequency control services. The scheme manipulates ESS power injections to aggregate dispersed ESS units, enabling them to function collectively as a large, integrated ESS unit capable of providing grid-scale frequency regulation services. The effectiveness of the proposed control schemes is verified through PSCAD-MATLAB co-simulation results using a detailed dynamic model of the CIGRE European Medium Voltage Distribution Network. Additionally, the impact of MPC parameter selection is explored, emphasising the critical importance of proper tuning for optimal control performance.

KW - Model Predictive Control

KW - Coordinated Control

KW - Energy Storage System

M3 - Conference contribution

BT - IET Powering Net Zero Conference

ER -

Optimal Coordinated Control of Distributed Energy Storage Systems using Model Predictive Control

Abstract

Keywords

Embargoed Document

Fingerprint

Cite this