Title :
Maximising revenue for non-firm distributed wind generation with energy storage in an active management scheme
Author :
Gill, S. ; Barbour, E. ; Wilson, I.A.G. ; Infield, D.
Author_Institution :
WindEnergy Syst. DTC, Univ. of Strathclyde, Glasgow, UK
Abstract :
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.
Keywords :
distributed power generation; energy storage; optimisation; power markets; wind power plants; active management scheme; distribution network curtailment scheme; electricity market; energy storage; generic storage device; heuristic optimisation algorithm; last-in-first-out scheme; non-firm distributed wind generation; renewable generation; time-shift curtailed generation; Active Network Management; Energy Storage; Generation Curtailment; Optimisation; wind generation;
Conference_Titel :
Renewable Power Generation (RPG 2011), IET Conference on
Conference_Location :
Edinburgh
DOI :
10.1049/cp.2011.0149