Title :
Model predictive control based efficient operation of battery energy storage system for primary frequency control
Author :
Khalid, Muhammad ; Savkin, Andrey V.
Author_Institution :
Sch. of Electr. Eng. h Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
This paper presents a method for an efficient operation of a battery energy storage system (BESS) associated with frequency control problem. A control system model is proposed to simulate the BESS for frequency control application. A controller based on model predictive control (MPC) is designed for the reliable operation of the BESS for primary frequency regulation. A frequency prediction model based on Grey theory is also designed to optimize the performance of our predictive controller. The method is tested using real measurements from a real power grid in the presence of multiple and realistic physical system constraints. The simulation results depict the effectiveness of the proposed frequency regulation scheme.
Keywords :
energy storage; frequency control; grey systems; power grids; predictive control; Grey theory; battery energy storage system; frequency prediction model; model predictive control; power grid; primary frequency control problem; primary frequency regulation scheme; Batteries; Control systems; Frequency control; Frequency measurement; Mathematical model; Predictive models; Battery energy storage system; frequency control; model predictive control; prediction;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
DOI :
10.1109/ICARCV.2010.5707855