Next Article in Journal
Particulate Matter Produced by Micro-Scale Biomass Combustion in an Oxygen-Lean Atmosphere
Next Article in Special Issue
Evaluation of a 1 MW, 250 kW-hr Battery Energy Storage System for Grid Services for the Island of Hawaii
Previous Article in Journal
Pitch Angle Misalignment Correction Based on Benchmarking and Laser Scanner Measurement in Wind Farms
Previous Article in Special Issue
Life Cycle Estimation of Battery Energy Storage Systems for Primary Frequency Regulation
Article Menu

Export Article

Open AccessArticle
Energies 2018, 11(12), 3358; https://doi.org/10.3390/en11123358

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.
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)
Full-Text   |   PDF [2017 KB, uploaded 1 December 2018]   |  

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. View Full-Text
Keywords: battery energy storage system; field evaluation; grid-scale; frequency response; renewable penetration battery energy storage system; field evaluation; grid-scale; frequency response; renewable penetration
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top