Characterization of a Fast Battery Energy Storage System for Primary Frequency Response
1
Center for Climate Physics, Institute for Basic Science (IBS), Pusan National University, Busan 46241, Korea
2
HNU Photonics LLC, Kahului, HI 96732, USA
3
Hawai’i Natural Energy Institute, SOEST, University of Hawai’i at Mānoa, Honolulu, HI 96822, USA
*
Author to whom correspondence should be addressed.
Energies 2018, 11(12), 3358; https://doi.org/10.3390/en11123358
Received: 27 October 2018 / Revised: 20 November 2018 / Accepted: 22 November 2018 / Published: 1 December 2018
(This article belongs to the Special Issue Grid-Scale Energy Storage Management)
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.
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Keywords:
battery energy storage system; field evaluation; grid-scale; frequency response; renewable penetration
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MDPI and ACS Style
Stein, K.; Tun, M.; Matsuura, M.; Rocheleau, R. Characterization of a Fast Battery Energy Storage System for Primary Frequency Response. Energies 2018, 11, 3358.
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