Title :
Battery Energy Storage System (BESS) and Battery Management System (BMS) for Grid-Scale Applications
Author :
Lawder, Matthew T. ; Suthar, Bharatkumar ; Northrop, Paul W. C. ; De, Suvranu ; Hoff, C. Michael ; Leitermann, Olivia ; Crow, Mariesa L. ; Santhanagopalan, Shriram ; Subramanian, Venkat R.
Author_Institution :
Dept. of Energy, Washington Univ. in St. Louis, St. Louis, MO, USA
Abstract :
The current electric grid is an inefficient system that wastes significant amounts of the electricity it produces because there is a disconnect between the amount of energy consumers require and the amount of energy produced from generation sources. Power plants typically produce more power than necessary to ensure adequate power quality. By taking advantage of energy storage within the grid, many of these inefficiencies can be removed. When using battery energy storage systems (BESS) for grid storage, advanced modeling is required to accurately monitor and control the storage system. A battery management system (BMS) controls how the storage system will be used and a BMS that utilizes advanced physics-based models will offer for much more robust operation of the storage system. The paper outlines the current state of the art for modeling in BMS and the advanced models required to fully utilize BMS for both lithium-ion batteries and vanadium redox-flow batteries. In addition, system architecture and how it can be useful in monitoring and control is discussed. A pathway for advancing BMS to better utilize BESS for grid-scale applications is outlined.
Keywords :
battery management systems; power grids; power supply quality; secondary cells; BESS; BMS; battery energy storage system; battery management system; electric grid; grid storage; power plants; power quality; redox flow batteries; secondary batteries; Batteries; Battery management systems; Computer architecture; Energy conversion; Energy storage; Microgrids; Microprocessors; Power grids; System-on-chip; Batteries; battery energy storage systems; battery management systems; control systems; electric grid; energy storage; grid control; grid optimization; grid storage; lithium ion; redox-flow systems; system optimization;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/JPROC.2014.2317451