Energy Management and Optimization Methods for Grid Energy Storage Systems

Today, 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...

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Bibliographic Details
Published in:	IEEE access 2018-01, Vol.6, p.13231-13260
Main Authors:	Byrne, Raymond H., Nguyen, Tu A., Copp, David A., Chalamala, Babu R., Gyuk, Imre
Format:	Article
Language:	eng
Subjects:	Batteries battery energy storage system (BESS) battery management system (BMS) Design optimization Distributed generation Electric power grids Electricity distribution Energy management energy management system (EMS) Energy management systems ENERGY PLANNING, POLICY, AND ECONOMY ENERGY STORAGE Energy storage system (ESS) Frequency control Incentives linear programming (LP) mixed integer linear programming (MILP) optimal control Optimization Optimization methods Power system stability Reliability engineering Storage systems System effectiveness
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Summary:	Today, 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. In this paper, we provide a brief history of grid-scale energy storage, an overview of EMS architectures, and a summary of the leading applications for storage. These serve as a foundation for a discussion of EMS optimization methods and design.
ISSN:	2169-3536 2169-3536