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18 - Analytical Models for Emerging Energy Storage Applications

from Part V - Large-Scale Optimization

Published online by Cambridge University Press:  22 March 2021

By
I. Safak Bayram  and
Michael Devetsikiotis
Edited by
Ali Tajer ,
Samir M. Perlaza  and
H. Vincent Poor
Ali Tajer
Affiliation:
Rensselaer Polytechnic Institute, New York
Samir M. Perlaza
Affiliation:
INRIA
H. Vincent Poor
Affiliation:
Princeton University, New Jersey
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Summary

The stability of the electric power grid is maintained through real-time balancing of generation and demand. Grid-scale energy storage systems are increasingly being deployed to provide grid operators the flexibility needed to maintain this balance. Energy storage also imparts resiliency and robustness to the grid infrastructure. Over the last few years, there has been a significant increase in the deployment of large-scale energy storage systems. This growth has been driven by improvements in the cost and performance of energy storage technologies and the need to accommodate distributed generation, as well as incentives and government mandates. Energy management systems (EMSs) and optimization methods are required to effectively and safely utilize energy storage as a flexible grid asset that can provide multiple grid services. The EMS needs to be able to accommodate a variety of use cases and regulatory environments. This chapter provides a brief history of grid-scale energy storage, an overview of EMS architectures, and a summary of the leading applications for storage. Subsequently, EMS optimization methods and designs are discussed.

Keywords

storage systemsstorage optimizingstorage sizingelectric vehiclescharging station
Type
Chapter
Information
Advanced Data Analytics for Power Systems , pp. 455 - 480
Publisher: Cambridge University Press
Print publication year: 2021

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