Characterization of a Fast Battery Energy Storage System for Primary Frequency Response
Karl Stein,
Moe Tun,
Marc Matsuura and
Richard Rocheleau
Additional contact information
Karl Stein: Center for Climate Physics, Institute for Basic Science (IBS), Pusan National University, Busan 46241, Korea
Moe Tun: HNU Photonics LLC, Kahului, HI 96732, USA
Marc Matsuura: Hawai’i Natural Energy Institute, SOEST, University of Hawai’i at Mānoa, Honolulu, HI 96822, USA
Richard Rocheleau: Hawai’i Natural Energy Institute, SOEST, University of Hawai’i at Mānoa, Honolulu, HI 96822, USA
Energies, 2018, vol. 11, issue 12, 1-12
Abstract:
In response to increasing integration of renewable energy sources on electric grid systems, battery energy storage systems (BESSs) are being deployed world-wide to provide grid services, including fast frequency regulation. Without mitigating technologies, such as BESSs, highly variable renewables can cause operational and reliability problems on isolated grids. Prior to the deployment of a BESS, an electric utility company will typically perform modeling to estimate cost benefits and determine grid impacts. While there may be a comparison of grid operations before and after BESS installation, passive monitoring typically does not provide information needed to tune the BESS such that the desired services are maintained, while also minimizing the cycling of the BESS. This paper presents the results of testing from a live grid using a method that systematically characterizes the performance of a BESS. The method is sensitive enough to discern how changes in tuning parameters effect both grid service and the cycling of the BESS. This paper discusses the application of this methodology to a 1 MW BESS regulating the entire island of Hawaii (180 MW peak load) in-situ. Significant mitigation of renewable volatility was demonstrated while minimizing BESS cycling.
Keywords: battery energy storage system; field evaluation; grid-scale; frequency response; renewable penetration (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:12:p:3358-:d:186896
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