Multi-Objective Reactive Power Support from Wind farms for Network Performance Enhancement

Lasantha Meegahapola, Brendan Fox, Timothy Littler, Damian Flynn

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)


This paper examines the ability of the doubly fed induction generator (DFIG) to deliver multiple reactive power objectives during variable wind conditions. The reactive power requirement is decomposed based on various control objectives (e.g. power factor control, voltage control, loss minimisation, and flicker mitigation) defined around different time frames (i.e. seconds, minutes, and hourly), and the control reference is generated by aggregating the individual reactive power requirement for each control strategy. A novel coordinated controller is implemented for the rotor-side converter and the grid-side converter considering their capability curves and illustrating that it can effectively utilise the aggregated DFIG reactive power capability for system performance enhancement. The performance of the multi-objective strategy is examined for a range of wind and network conditions, and it is shown that for the majority of the scenarios, more than 92% of the main control objective can be achieved while introducing the integrated flicker control scheme with the main reactive power control scheme. Therefore, optimal control coordination across the different control strategies can maximise the availability of ancillary services from DFIG-based wind farms without additional dynamic reactive power devices being installed in power networks.
Original languageEnglish
Pages (from-to)135-150
JournalInternational Transactions on Electrical Energy Systems
Issue number1
Early online date23 Nov 2012
Publication statusPublished - Jan 2013


  • capability curve;doubly fed induction generator;flicker mitigation;power factor control;reactive power dispatch;voltage control

ASJC Scopus subject areas

  • Energy(all)
  • Electrical and Electronic Engineering
  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Modelling and Simulation


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