Improving wind farm dispatch in the australian electricity market with battery energy storage using model predictive control

Arash Khatamianfar, Muhammad Khalid, Andrey V. Savkin, Vassilios G. Agelidis

Research output: Contribution to journalArticlepeer-review

114 Scopus citations

Abstract

This paper presents a novel wind farm dispatch control scheme by integrating a battery energy storage system (BESS) to manage the amount of net energy generation sold to the electricity market. The scheme is based on model predictive control to ensure the optimal operation of BESS in the presence of practical system constraints. The proposed scheme follows a decision policy to efficiently sell more energy at peak demand/price times and store it at off-peak periods in compliance with the electricity rules of the Australian National Electricity Market. The performance of the proposed control scheme is assessed under different scenarios in terms of a key performance index and earning comparison from power sale using actual wind farm and electricity price data.

Original languageEnglish
Article number6478862
Pages (from-to)745-755
Number of pages11
JournalIEEE Transactions on Sustainable Energy
Volume4
Issue number3
DOIs
StatePublished - 2013
Externally publishedYes

Keywords

  • Australian electricity market
  • battery energy storage
  • control applications
  • model predictive control
  • power dispatch
  • renewable energy
  • wind power

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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