Maximising revenue for non-firm distributed wind generation with energy storage in an active management scheme

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


Colleges, School and Institutes

External organisations

  • University of Strathclyde
  • University of Edinburgh, The


The use of renewable generation and energy storage with actively managed curtailment schemes is investigated. A heuristic optimisation algorithm is presented that maximises the revenue available to the operator of a storage system that time-shifts curtailed generation, and trades by buying and selling power on an electricity market. The algorithm is applied to a case study of a distribution network curtailment scheme with a generic storage device. It is found that allowing a storage unit to both trade with the market, and time-shift curtailed generation generates greater revenue that operating in either mode individually. A Last-In-First-Out scheme of small wind farms in a curtailment scheme is modelled to show the effect of including storage. Finally it is noted that the role of renewable subsidies is important for the encouragement of efficient storage technologies.


Original languageEnglish
Title of host publicationIET Conference on Renewable Power Generation, RPG 2011
Publication statusPublished - 1 Dec 2011
EventIET Conference on Renewable Power Generation, RPG 2011 - Edinburgh, United Kingdom
Duration: 9 May 20118 Sep 2011


ConferenceIET Conference on Renewable Power Generation, RPG 2011
CountryUnited Kingdom


  • Active network management, Energy storage, Generation curtailment, Optimisation, Wind generation

ASJC Scopus subject areas