@inproceedings{4f9b8003864f48839a59a6e4a5edb436,
title = "Model predictive control based efficient operation of battery energy storage system for primary frequency control",
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 = "Battery energy storage system, Frequency control, Model predictive control, Prediction",
author = "Muhammad Khalid and Savkin, \{Andrey V.\}",
year = "2010",
doi = "10.1109/ICARCV.2010.5707855",
language = "English",
isbn = "9781424478132",
series = "11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010",
pages = "2248--2252",
booktitle = "11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010",
}