DocumentCode :
1758432
Title :
Design and Strategy for the Deployment of Energy Storage Systems in a Distribution Feeder With Penetration of Renewable Resources
Author :
Nagarajan, Adarsh ; Ayyanar, Raja
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona State Univ., Tempe, AZ, USA
Volume :
6
Issue :
3
fYear :
2015
fDate :
42186
Firstpage :
1085
Lastpage :
1092
Abstract :
Integration of distributed energy resources has the potential to impact the operation of the distribution systems by affecting the equipment reliability and customer power quality. The stochastic nature of the distributed energy resources have been accommodated using the energy storage systems along with providing economical benefits to the distribution systems. This paper provides a generalized framework for strategic deployment of a lithium-ion-based energy storage system to increase the benefits in a distribution feeder. Convex optimization is specifically developed to exploit the energy price arbitrage along the optimization time horizon. A significant amount of work has been performed in this paper for detailed characterization of the life cycle costs of the battery energy storage system (BESS). A novel approach for effective utilization of the energy storage system to mitigate the intermittent nature of the photovoltaic (PV) generation has been presented in this paper. The objectives include reduction of the substation transformer losses, reduction of the life cycle cost of the battery storage system, and accommodate PV variability. A convex optimization with a quadratic objective has been formulated to calculate the charge/discharge schedule of the energy storage system. A field validated model of the distribution feeder in OpenDSS has been used to determine the impact of optimal scheduling of the BESS on the substation transformer losses and the feeder head voltage.
Keywords :
convex programming; energy storage; life cycle costing; secondary cells; transformer substations; BESS; OpenDSS; PV generation; battery energy storage system; convex optimization; distribution feeder; energy price arbitrage; feeder head voltage; field validated model; life cycle costs; lithium-ion-based energy storage system; optimization time horizon; photovoltaic generation; renewable resource penetration; substation transformer loss; Batteries; Data models; Discharges (electric); Load modeling; Optimization; Substations; Convex optimization; energy storage; peak shaving; quasi-static analysis;
fLanguage :
English
Journal_Title :
Sustainable Energy, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3029
Type :
jour
DOI :
10.1109/TSTE.2014.2330294
Filename :
6855329
Link To Document :
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