TY - GEN
T1 - Energy Storage Modeling for Distribution Planning
AU - Dugan, Roger C.
AU - Taylor, Jason A.
AU - Montenegro, Davis
N1 - Funding Information:
The authors would like to thank all those who have supported the research represented in this paper, in particular, Tom Weaver of AEP for his support during the Smart Grid Demo modeling of CES at that company. Also, we thank Haresh Kamath and Arindam Maitra of EPRI for their support of storage modeling research during the development of the OpenDSS models.
Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/18
Y1 - 2016/7/18
N2 - Storage is being proposed to solve many issues on the electric power grid, especially those issues related to renewable generation such as wind and solar generation. Some North American state and provincial regulators are requiring large amounts of storage to be installed to support anticipated needs of the power grid. Much of that new storage is expected to be connected to distribution feeders. Distribution planners lack tools and methods to assess storage impact on distribution system capacity, reliability, and power quality. Planners are accustomed to static power flow calculations, but accurate analysis of storage requires sequentialtime simulation. This paper describes modeling storage for various types of simulations on distribution systems for different time frames typically involved. The basic impact on capacity and voltage regulation can generally be evaluated in simulations with 15-minute to 1-hour intervals. Evaluations of smoothing of renewable generation variations may require simulations with time step sizes of 1 minute or less. Evaluations of such things as frequency control of microgrids and performance during transient disturbances will require dynamics analysis in intervals ranging from seconds down to microseconds. This paper is a summary of recent EPRI research in modeling energy storage for planning studies.
AB - Storage is being proposed to solve many issues on the electric power grid, especially those issues related to renewable generation such as wind and solar generation. Some North American state and provincial regulators are requiring large amounts of storage to be installed to support anticipated needs of the power grid. Much of that new storage is expected to be connected to distribution feeders. Distribution planners lack tools and methods to assess storage impact on distribution system capacity, reliability, and power quality. Planners are accustomed to static power flow calculations, but accurate analysis of storage requires sequentialtime simulation. This paper describes modeling storage for various types of simulations on distribution systems for different time frames typically involved. The basic impact on capacity and voltage regulation can generally be evaluated in simulations with 15-minute to 1-hour intervals. Evaluations of smoothing of renewable generation variations may require simulations with time step sizes of 1 minute or less. Evaluations of such things as frequency control of microgrids and performance during transient disturbances will require dynamics analysis in intervals ranging from seconds down to microseconds. This paper is a summary of recent EPRI research in modeling energy storage for planning studies.
KW - Dispersed Storage and Generation
KW - Distribution System Analysis
KW - Power Distribution Planning
KW - Solar Power Generation
KW - Wind Power Generation
UR - http://www.scopus.com/inward/record.url?scp=84982993380&partnerID=8YFLogxK
U2 - 10.1109/REPC.2016.11
DO - 10.1109/REPC.2016.11
M3 - Conference contribution
AN - SCOPUS:84982993380
T3 - Papers Presented at the Annual Conference - Rural Electric Power Conference
SP - 12
EP - 19
BT - Proceedings - 2016 IEEE Rural Electric Power Conference, REPC 2016 - Papers Presented at the 60th Annual Conference
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 May 2016 through 18 May 2016
ER -