Optimization of battery energy storage system with super-capacitor for renewable energy applications

Xiaolei Hu*, K. J. Tseng, M. Srinivasan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Citations (Scopus)

Abstract

In order to deliver continuous power from renewable energy systems, such as solar and wind power, which may be intermittent, Battery/Super-Capacitor hybrid systems have been proposed. To maximize battery lifespan and storage capacity, charging/discharging cycles should be minimized. In this paper, a control strategy based on Model Predictive Control (MPC) is proposed. Perturbation of battery current is minimized and the rating of super-capacitor is optimally selected, so as to enable the battery to meet the energy demand while having the super-capacitor to meet the power requirement of the load. Simulation in MATLAB shows the proposed control strategy to be achieving a desired and optimal performance.

Original languageEnglish
Title of host publication8th International Conference on Power Electronics - ECCE Asia
Subtitle of host publication"Green World with Power Electronics", ICPE 2011-ECCE Asia
Pages1552-1557
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event8th International Conference on Power Electronics - ECCE Asia: "Green World with Power Electronics", ICPE 2011-ECCE Asia - Jeju, Korea, Republic of
Duration: May 30 2011Jun 3 2011

Publication series

Name8th International Conference on Power Electronics - ECCE Asia: "Green World with Power Electronics", ICPE 2011-ECCE Asia

Conference

Conference8th International Conference on Power Electronics - ECCE Asia: "Green World with Power Electronics", ICPE 2011-ECCE Asia
Country/TerritoryKorea, Republic of
CityJeju
Period5/30/116/3/11

ASJC Scopus Subject Areas

  • Electrical and Electronic Engineering

Keywords

  • Battery
  • Energy Storage System
  • Model Predictive Control
  • Super-Capacitor

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