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Title: Distribution Systems Planning and Analysis Framework for Indian Feeders - Partnership with BSES/BRPL

Abstract

Integration of distributed energy resources (DER) such as photovoltaics, electric vehicles (EVs) and battery energy storage systems (BESS) is expected to rapidly increase in distribution systems in India. These grid edge resources can have adverse impacts on the grid and can provide additional revenue streams as well. To mitigate these impacts distribution planning and analysis is required. So this paper presents a framework which can be used to complete all steps involved in distribution planning and analysis. This framework uses data in the same format as is readily available with Indian utilities and processes it to generate detailed feeder models and loading profiles. This framework already includes multiple DER use cases such as peak shaving for BESS and EV demand modelling and can be easily extended to simulate a number of additional use cases. All of these use cases can be simulated in parallel for multi-year time series simulations using an integrated command line interface. A suit of grid readiness metrics are then evaluated for each simulation to determine required network upgrades and associated costs.

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
United States Agency for International Development (USAID); USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1561842
Report Number(s):
NREL/PR-5D00-74626
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the Second International Conference on Large-Scale Grid Integration of Renewable Energy in India, 4-6 September 2019, New Delhi, India
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; 29 ENERGY PLANNING, POLICY, AND ECONOMY; battery energy storage systems; BESS; distribution grid issues; electric vehicles; power system studies; project experience; distributed energy resources; DER; photovoltaics

Citation Formats

Jain, Akshay Kumar, Bryce, Richard, Ghosh, Shibani, Latif, Aadil, Emmanuel, Michael, Nagarajan, Adarsh, Palchak, Joseph D, and Cochran, Jaquelin M. Distribution Systems Planning and Analysis Framework for Indian Feeders - Partnership with BSES/BRPL. United States: N. p., 2019. Web.
Jain, Akshay Kumar, Bryce, Richard, Ghosh, Shibani, Latif, Aadil, Emmanuel, Michael, Nagarajan, Adarsh, Palchak, Joseph D, & Cochran, Jaquelin M. Distribution Systems Planning and Analysis Framework for Indian Feeders - Partnership with BSES/BRPL. United States.
Jain, Akshay Kumar, Bryce, Richard, Ghosh, Shibani, Latif, Aadil, Emmanuel, Michael, Nagarajan, Adarsh, Palchak, Joseph D, and Cochran, Jaquelin M. Mon . "Distribution Systems Planning and Analysis Framework for Indian Feeders - Partnership with BSES/BRPL". United States. https://www.osti.gov/servlets/purl/1561842.
@article{osti_1561842,
title = {Distribution Systems Planning and Analysis Framework for Indian Feeders - Partnership with BSES/BRPL},
author = {Jain, Akshay Kumar and Bryce, Richard and Ghosh, Shibani and Latif, Aadil and Emmanuel, Michael and Nagarajan, Adarsh and Palchak, Joseph D and Cochran, Jaquelin M},
abstractNote = {Integration of distributed energy resources (DER) such as photovoltaics, electric vehicles (EVs) and battery energy storage systems (BESS) is expected to rapidly increase in distribution systems in India. These grid edge resources can have adverse impacts on the grid and can provide additional revenue streams as well. To mitigate these impacts distribution planning and analysis is required. So this paper presents a framework which can be used to complete all steps involved in distribution planning and analysis. This framework uses data in the same format as is readily available with Indian utilities and processes it to generate detailed feeder models and loading profiles. This framework already includes multiple DER use cases such as peak shaving for BESS and EV demand modelling and can be easily extended to simulate a number of additional use cases. All of these use cases can be simulated in parallel for multi-year time series simulations using an integrated command line interface. A suit of grid readiness metrics are then evaluated for each simulation to determine required network upgrades and associated costs.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {9}
}

Conference:
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