TY - GEN
T1 - A Technoeconomic Assessment Methodology of Energy Storage Systems for Dynamic Frequency Regulation
AU - Singh, Vivek Kumar
AU - Lin, Yingqian
AU - Li, Binghui
AU - Bhattarai, Rojan
AU - Mosier, Thomas M.
N1 - Funding Information:
1Acknowledgement: This manuscript has been authored by Battelle Energy Alliance, LLC, under Contract No. DE-AC07-05ID14517 with the U.S. Department of Energy. Work supported through the U.S. Department of Energy Water Power Technology Office HydroWIRES Initiative.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Frequency-regulation markets are becoming more dynamic and placing a greater premium on fast frequency response that requires energy-storage systems, such as batteries, to provide high-quality response. While batteries can technically provide this service, the continuous cycling leads to faster degradation. Ultracapacitors can be cycled rapidly without degrading, but are more expensive for storing large amounts of energy. Therefore, a battery and ultracapacitor hybrid energy-storage system (HESS) may provide the ability to provide effective fast frequency response and reduce degradation. In this paper, we present a methodology for performing technoeconomic assessment of an HESS participating in Pennsylvania-New Jersey-Maryland Interconnection's (PJM's) dynamic frequency-regulation market (their fast frequency-response product). In particular, the proposed method uses performance measures, battery -degradation modeling, and financial investment return for different input-power allocations to the battery and ultraca-pacitor components of the HESS system during fast frequency-regulation services. The paper evaluates the proposed approach on a fully-active HESS topology using the fast regulation signal (RegD) from the PJM market. Our experimental results reveal that the input regulation power allocation has a significant impact on HESS performance, battery degradation, and 5-year investment return. This work also highlights the importance of developing an optimal sizing tool for HESS to provide better performance measures and financial benefits during participation in regulation services.
AB - Frequency-regulation markets are becoming more dynamic and placing a greater premium on fast frequency response that requires energy-storage systems, such as batteries, to provide high-quality response. While batteries can technically provide this service, the continuous cycling leads to faster degradation. Ultracapacitors can be cycled rapidly without degrading, but are more expensive for storing large amounts of energy. Therefore, a battery and ultracapacitor hybrid energy-storage system (HESS) may provide the ability to provide effective fast frequency response and reduce degradation. In this paper, we present a methodology for performing technoeconomic assessment of an HESS participating in Pennsylvania-New Jersey-Maryland Interconnection's (PJM's) dynamic frequency-regulation market (their fast frequency-response product). In particular, the proposed method uses performance measures, battery -degradation modeling, and financial investment return for different input-power allocations to the battery and ultraca-pacitor components of the HESS system during fast frequency-regulation services. The paper evaluates the proposed approach on a fully-active HESS topology using the fast regulation signal (RegD) from the PJM market. Our experimental results reveal that the input regulation power allocation has a significant impact on HESS performance, battery degradation, and 5-year investment return. This work also highlights the importance of developing an optimal sizing tool for HESS to provide better performance measures and financial benefits during participation in regulation services.
KW - battery
KW - battery degradation
KW - energy storage system
KW - financial cost
KW - regulation market
KW - ultracapacitor
UR - https://www.scopus.com/pages/publications/85141522651
UR - https://www.mendeley.com/catalogue/09711984-d432-3bca-a4d1-1564c1a138cb/
U2 - 10.1109/PESGM48719.2022.9916900
DO - 10.1109/PESGM48719.2022.9916900
M3 - Conference contribution
AN - SCOPUS:85141522651
T3 - IEEE Power and Energy Society General Meeting
BT - 2022 IEEE Power and Energy Society General Meeting, PESGM 2022
PB - IEEE Computer Society
T2 - 2022 IEEE Power and Energy Society General Meeting, PESGM 2022
Y2 - 17 July 2022 through 21 July 2022
ER -