Title :
Wind power dispatch control 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
Abstract :
The purpose of integrating a battery energy storage system (BESS) with large scale wind farms is to compensate the intermittency of the wind power and also to make wind farms more dispatchable and competitive against the conventional power plants. This paper presents a novel wind power dispatch control scheme with a BESS based on model predictive control to manage the amount of energy generated and sold to the electricity market, and to optimize the operation of the BESS. The proposed control scheme follows a decision policy of selling more energy at peak demand/price times and storing it at off-peak periods in compliance with the electricity rules of the Australian national electricity market. The effectiveness of the proposed control scheme is examined by simulation results using actual wind farm and electricity price data.
Keywords :
energy storage; power control; power generation control; predictive control; wind power plants; Australian national electricity market; BESS; battery energy storage system; electricity price data; electricity rules; predictive control model; wind farm; wind power dispatch control; Batteries; Control systems; Electricity; Electricity supply industry; Generators; Wind farms; Wind power generation; Australian electricity market; Wind power; battery energy storage; control applications; model predictive control; power dispatch; renewable energy;
Conference_Titel :
Control Applications (CCA), 2012 IEEE International Conference on
Conference_Location :
Dubrovnik
Print_ISBN :
978-1-4673-4503-3
Electronic_ISBN :
1085-1992
DOI :
10.1109/CCA.2012.6402350