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Title: Data-Enhanced Hierarchical Control to Improve Distribution Voltage with Extremely High PV Penetration

Abstract

Dynamic, scalable, and interoperable control paradigms are required to enable efficient, secure, reliable, and resilient distribution grid operations with widespread grid integration of renewable energy resources. This paper presents our recent research on developing a novel, holistic, data-enhanced hierarchical control architecture that addresses the formidable challenges faced by emerging distribution grids with increasing penetrations of distributed energy resources. The proposed architecture integrates centralized monitoring and control with distributed grid-edge control and thus effectively deals with multi-spatiotemporal dynamics existing in the grid. Simulation results are provided to demonstrate the effectiveness of the proposed control architecture.

Authors:
 [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.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
OSTI Identifier:
1593091
Report Number(s):
NREL/PO-5D00-74504
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2019 IEEE Power and Energy Society General Meeting, 4-8 August 2019, Atlanta, Georgia
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; data-enhanced; hierarchical control; distribution; voltage; PV; photovoltaic

Citation Formats

Ding, Fei, Padullaparti, Harsha Vardhana, Baggu, Murali M, Veda, Santosh, and Meor Danial, Shazreen. Data-Enhanced Hierarchical Control to Improve Distribution Voltage with Extremely High PV Penetration. United States: N. p., 2020. Web.
Ding, Fei, Padullaparti, Harsha Vardhana, Baggu, Murali M, Veda, Santosh, & Meor Danial, Shazreen. Data-Enhanced Hierarchical Control to Improve Distribution Voltage with Extremely High PV Penetration. United States.
Ding, Fei, Padullaparti, Harsha Vardhana, Baggu, Murali M, Veda, Santosh, and Meor Danial, Shazreen. Tue . "Data-Enhanced Hierarchical Control to Improve Distribution Voltage with Extremely High PV Penetration". United States. https://www.osti.gov/servlets/purl/1593091.
@article{osti_1593091,
title = {Data-Enhanced Hierarchical Control to Improve Distribution Voltage with Extremely High PV Penetration},
author = {Ding, Fei and Padullaparti, Harsha Vardhana and Baggu, Murali M and Veda, Santosh and Meor Danial, Shazreen},
abstractNote = {Dynamic, scalable, and interoperable control paradigms are required to enable efficient, secure, reliable, and resilient distribution grid operations with widespread grid integration of renewable energy resources. This paper presents our recent research on developing a novel, holistic, data-enhanced hierarchical control architecture that addresses the formidable challenges faced by emerging distribution grids with increasing penetrations of distributed energy resources. The proposed architecture integrates centralized monitoring and control with distributed grid-edge control and thus effectively deals with multi-spatiotemporal dynamics existing in the grid. Simulation results are provided to demonstrate the effectiveness of the proposed control architecture.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {1}
}

Conference:
Other availability
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