DocumentCode
1756274
Title
Improving Wind Farm Dispatch in the Australian Electricity Market With Battery Energy Storage Using Model Predictive Control
Author
Khatamianfar, Arash ; Khalid, Muhammad ; Savkin, Andrey V. ; Agelidis, Vassilios Georgios
Author_Institution
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
Volume
4
Issue
3
fYear
2013
fDate
41456
Firstpage
745
Lastpage
755
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.
Keywords
battery storage plants; power generation control; power generation economics; power markets; predictive control; wind power plants; Australian national electricity market; BESS; battery energy storage system; decision policy; electricity price data; model predictive control; net energy generation; power sale; wind farm dispatch control scheme; Control systems; Decision making; Electricity; Electricity supply industry; Generators; Wind farms; Wind power generation; Australian electricity market; battery energy storage; control applications; model predictive control; power dispatch; renewable energy; wind power;
fLanguage
English
Journal_Title
Sustainable Energy, IEEE Transactions on
Publisher
ieee
ISSN
1949-3029
Type
jour
DOI
10.1109/TSTE.2013.2245427
Filename
6478862
Link To Document