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

Cheng Lyu, Youwei Jia, Zhao Xu, Mengge Shi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


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 languageEnglish
Title of host publication2020 IEEE Power and Energy Society General Meeting, PESGM 2020
PublisherIEEE Computer Society
ISBN (Electronic)9781728155081
Publication statusPublished - 2 Aug 2020
Event2020 IEEE Power and Energy Society General Meeting, PESGM 2020 - Montreal, Canada
Duration: 2 Aug 20206 Aug 2020

Publication series

NameIEEE Power and Energy Society General Meeting
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933


Conference2020 IEEE Power and Energy Society General Meeting, PESGM 2020


  • 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

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