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Title: Implementation of a Grid Connected Battery-Inverter Fleet Model.

Abstract

Batteries are designed to store electrical energy. The increasing variation in time value of energy has driven the use of batteries as controllable distributed energy resources (DER). This is enabled though low-cost power electronic inverters that are able to precisely control charge and discharge. This paper describes the software implementation of an open-source battery inverter fleet models in python. The Sandia BatterylnverterFleet class model can be used by scientists, researchers, and engineers to perform simulations of one or more fleets of similar battery-inverter systems connected to the grid. The program tracks the state- of-charge of the simulated batteries and ensures that they stay within their limits while responding to separately generated service requests to charge or discharge. This can be used to analyze control and coordination, placement and sizing, and many other problems associated with the integration of batteries on the power grid. The development of these models along with their python implementation was funded by the Grid Modernization Laboratory Consortium (GMLC) project 1.4.2. Definitions, Standards and Test Procedures for Grid Services from Devices.

Authors:
;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1489618
Report Number(s):
SAND2018-11692
671126
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Rosewater, David Martin, and Gonzalez, Sigifredo. Implementation of a Grid Connected Battery-Inverter Fleet Model.. United States: N. p., 2018. Web. doi:10.2172/1489618.
Rosewater, David Martin, & Gonzalez, Sigifredo. Implementation of a Grid Connected Battery-Inverter Fleet Model.. United States. https://doi.org/10.2172/1489618
Rosewater, David Martin, and Gonzalez, Sigifredo. Mon . "Implementation of a Grid Connected Battery-Inverter Fleet Model.". United States. https://doi.org/10.2172/1489618. https://www.osti.gov/servlets/purl/1489618.
@article{osti_1489618,
title = {Implementation of a Grid Connected Battery-Inverter Fleet Model.},
author = {Rosewater, David Martin and Gonzalez, Sigifredo},
abstractNote = {Batteries are designed to store electrical energy. The increasing variation in time value of energy has driven the use of batteries as controllable distributed energy resources (DER). This is enabled though low-cost power electronic inverters that are able to precisely control charge and discharge. This paper describes the software implementation of an open-source battery inverter fleet models in python. The Sandia BatterylnverterFleet class model can be used by scientists, researchers, and engineers to perform simulations of one or more fleets of similar battery-inverter systems connected to the grid. The program tracks the state- of-charge of the simulated batteries and ensures that they stay within their limits while responding to separately generated service requests to charge or discharge. This can be used to analyze control and coordination, placement and sizing, and many other problems associated with the integration of batteries on the power grid. The development of these models along with their python implementation was funded by the Grid Modernization Laboratory Consortium (GMLC) project 1.4.2. Definitions, Standards and Test Procedures for Grid Services from Devices.},
doi = {10.2172/1489618},
url = {https://www.osti.gov/biblio/1489618}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {10}
}