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Original Articles

A Unified Approach to the Sizing and Control of Energy Storage Systems

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Pages 693-704 | Received 23 Mar 2016, Accepted 22 Jan 2017, Published online: 03 Apr 2017
 

ABSTRACT

Grid operation and planning challenges arising out of large-scale integration of renewable power can to a large extent be solved by the use of energy storage systems (ESSs). The type and size of storage to be used may be decided by the amount of fluctuating power the storage charges or discharges to attain its objective. Storage systems can be used as single devices or as hybrid systems where two or more devices complement the working of each other. The objective of this paper is to find an accurate power and energy sizing methodology for storage devices working in a single or hybrid arrangement such that the power fed to the grid from a wind turbine generator is regulated to a constant value. A strategy for sizing of a hybrid ESS is proposed by choosing the long-term storage to be a battery energy system and the short-term device to be a flywheel and using frequency analysis techniques. In the case of flywheel energy storage system, the inertia and the gain of an integral controller applied to an induction-machine-based flywheel are obtained. The simulations are done in MATLAB.

Additional information

Notes on contributors

Gayathri Nair Sudha

Gayathri Nair S received the M.E degree in Industrial systems and drives from MITS Gwalior, India, in 2004. She is currently pursuing the Ph.D. degree in electrical engineering at IIT Delhi, New Delhi, India. Her research interests include renewable power integration and energy storage systems.

Nilanjan Senroy

Nilanjan Senroy received the M.S. degree in 2003 and Ph.D. degree in 2006 from Arizona State University, Tempe, AZ, USA. He also has postdoctoral experience at the Center for Advanced Power Systems, Florida State University, Tallahassee, FL, USA. He is an Associate Professor with the Department of Electrical Engineering, Indian Institute of Technology, Delhi, India. His research interests include power system stability and control, signal processing and renewable energy.

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