Real-time operation optimization of islanded microgrid with battery energy storage system

Cheng Lyu; Youwei Jia; Zhao Xu; Mengge Shi

doi:10.1109/PESGM41954.2020.9281664

Real-time operation optimization of islanded microgrid with battery energy storage system

Cheng Lyu
, Youwei Jia
, Zhao Xu
, Mengge Shi

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

Abstract

In islanded microgrids, rechargeable batteries are widely used as storage systems to complement the power imbalance in real-time. Among others, lithium-ion battery is the most popular owing to its high energy density, low self-discharge and long lifespan features. However, the cycle degradation becomes an unavoidable concern in microgrid economic operation. In this paper, a novel degradation model based on online auction and rainflow cycle counting algorithm is proposed for real-time management of lithium-ion batteries. Based on the proposed model, a mixed integer nonlinear problem is formulated for online operation of the islanded microgrid. To confront with the uncertainties involved in a lookahead window, the formulated problem is tackled by weighted model predictive control(MPC). Monte Carlo simulations covering 365 consecutive days verify the effectiveness of the proposed model and its application in real-time microgrid operation concerning degradation cost.

Original language	English
Title of host publication	2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728155081
DOIs	https://doi.org/10.1109/PESGM41954.2020.9281664
Publication status	Published - 2 Aug 2020
Event	2020 IEEE Power and Energy Society General Meeting, PESGM 2020 - Montreal, Canada Duration: 2 Aug 2020 → 6 Aug 2020

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2020-August
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Country/Territory	Canada
City	Montreal
Period	2/08/20 → 6/08/20

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Battery energy storage system
Islanded microgrid
Real-time operation
Weighted model predictive control

ASJC Scopus subject areas

Energy Engineering and Power Technology
Nuclear Energy and Engineering
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

More information

10.1109/PESGM41954.2020.9281664

http://hdl.handle.net/10397/100510

Cite this

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title = "Real-time operation optimization of islanded microgrid with battery energy storage system",

abstract = "In islanded microgrids, rechargeable batteries are widely used as storage systems to complement the power imbalance in real-time. Among others, lithium-ion battery is the most popular owing to its high energy density, low self-discharge and long lifespan features. However, the cycle degradation becomes an unavoidable concern in microgrid economic operation. In this paper, a novel degradation model based on online auction and rainflow cycle counting algorithm is proposed for real-time management of lithium-ion batteries. Based on the proposed model, a mixed integer nonlinear problem is formulated for online operation of the islanded microgrid. To confront with the uncertainties involved in a lookahead window, the formulated problem is tackled by weighted model predictive control(MPC). Monte Carlo simulations covering 365 consecutive days verify the effectiveness of the proposed model and its application in real-time microgrid operation concerning degradation cost. ",

keywords = "Battery energy storage system, Islanded microgrid, Real-time operation, Weighted model predictive control",

author = "Cheng Lyu and Youwei Jia and Zhao Xu and Mengge Shi",

note = "Funding Information: This work was jointly supported by SUSTech Faculty Startup Funding (No. Y01236135 and No. Y01236235) and Hong Kong RGC Theme-based Research Scheme (No. T23-701/14N) Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Power and Energy Society General Meeting, PESGM 2020 ; Conference date: 02-08-2020 Through 06-08-2020",

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Lyu, C, Jia, Y, Xu, Z & Shi, M 2020, Real-time operation optimization of islanded microgrid with battery energy storage system. in 2020 IEEE Power and Energy Society General Meeting, PESGM 2020., 9281664, IEEE Power and Energy Society General Meeting, vol. 2020-August, IEEE Computer Society, 2020 IEEE Power and Energy Society General Meeting, PESGM 2020, Montreal, Canada, 2/08/20. https://doi.org/10.1109/PESGM41954.2020.9281664

Real-time operation optimization of islanded microgrid with battery energy storage system. / Lyu, Cheng; Jia, Youwei; Xu, Zhao et al.
2020 IEEE Power and Energy Society General Meeting, PESGM 2020. IEEE Computer Society, 2020. 9281664 (IEEE Power and Energy Society General Meeting; Vol. 2020-August).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Jia, Youwei

AU - Xu, Zhao

AU - Shi, Mengge

N1 - Funding Information: This work was jointly supported by SUSTech Faculty Startup Funding (No. Y01236135 and No. Y01236235) and Hong Kong RGC Theme-based Research Scheme (No. T23-701/14N) Publisher Copyright: © 2020 IEEE.

PY - 2020/8/2

Y1 - 2020/8/2

N2 - In islanded microgrids, rechargeable batteries are widely used as storage systems to complement the power imbalance in real-time. Among others, lithium-ion battery is the most popular owing to its high energy density, low self-discharge and long lifespan features. However, the cycle degradation becomes an unavoidable concern in microgrid economic operation. In this paper, a novel degradation model based on online auction and rainflow cycle counting algorithm is proposed for real-time management of lithium-ion batteries. Based on the proposed model, a mixed integer nonlinear problem is formulated for online operation of the islanded microgrid. To confront with the uncertainties involved in a lookahead window, the formulated problem is tackled by weighted model predictive control(MPC). Monte Carlo simulations covering 365 consecutive days verify the effectiveness of the proposed model and its application in real-time microgrid operation concerning degradation cost.

AB - In islanded microgrids, rechargeable batteries are widely used as storage systems to complement the power imbalance in real-time. Among others, lithium-ion battery is the most popular owing to its high energy density, low self-discharge and long lifespan features. However, the cycle degradation becomes an unavoidable concern in microgrid economic operation. In this paper, a novel degradation model based on online auction and rainflow cycle counting algorithm is proposed for real-time management of lithium-ion batteries. Based on the proposed model, a mixed integer nonlinear problem is formulated for online operation of the islanded microgrid. To confront with the uncertainties involved in a lookahead window, the formulated problem is tackled by weighted model predictive control(MPC). Monte Carlo simulations covering 365 consecutive days verify the effectiveness of the proposed model and its application in real-time microgrid operation concerning degradation cost.

KW - Battery energy storage system

KW - Islanded microgrid

KW - Real-time operation

KW - Weighted model predictive control

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AN - SCOPUS:85099166893

T3 - IEEE Power and Energy Society General Meeting

BT - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020

PB - IEEE Computer Society

T2 - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020

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ER -

Real-time operation optimization of islanded microgrid with battery energy storage system

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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Cite this