DocumentCode
743478
Title
An Effective Power Dispatch Control Strategy to Improve Generation Schedulability and Supply Reliability of a Wind Farm Using a Battery Energy Storage System
Author
Abu Abdullah, Md ; Muttaqi, K.M. ; Sutanto, Danny ; Agalgaonkar, A.P.
Author_Institution
Australian Power Quality & Reliability Centre, Univ. of Wollongong, Wollongong, NSW, Australia
Volume
6
Issue
3
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
1093
Lastpage
1102
Abstract
The uncertainty in the availability of wind generation and the lack of coincidence between wind generation and system peak demand make wind farms (WFs) to be nondispatchable energy resources and impose limits on the potential penetration of wind generation in the generation mix. Battery energy storage systems (BESSs) integrated with WFs can reduce the variability of wind generation output allowing them to be dispatched for the network support, especially under peak load conditions. This paper proposes an effective power dispatch control strategy of WFs with the aid of BESSs to improve the supply reliability taking into account the uncertainties in wind generation output and load demand. A stochastic programming model is formulated considering uncertainty in wind generation and energy price to schedule WF dispatch. A novel rank-based BESS dispatch control algorithm is developed to achieve the assured WF power output levels for dispatch. Also, the application of the power dispatch control strategy is presented with the simulation study. Simulation results suggest that the implementation of the proposed strategy will improve supply reliability and revenue stream of the WFs.
Keywords
battery storage plants; power generation control; power generation dispatch; power generation scheduling; stochastic programming; wind power plants; BESS; WF dispatch; battery energy storage system; generation schedulability; load demand; power dispatch control strategy; stochastic programming model; supply reliability; wind farm; wind generation output; Batteries; Schedules; Stochastic processes; Time series analysis; Uncertainty; Wind forecasting; Wind speed; Battery energy storage; generation schedulability; generation uncertainty; power dispatch; wind farms (WFs);
fLanguage
English
Journal_Title
Sustainable Energy, IEEE Transactions on
Publisher
ieee
ISSN
1949-3029
Type
jour
DOI
10.1109/TSTE.2014.2350980
Filename
6913566
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