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

Abstract

Dynamic, scalable and interoperable control paradigm is 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 work 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 together 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:
1569441
Report Number(s):
NREL/CP-5D00-72755
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2019 IEEE Power & Energy Society General Meeting (IEEE PES GM), 4-8 August 2019, Atlanta, Georgia
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; distributed PV; voltage regulation; grid edge control; advanced distribution management system

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: Preprint. United States: N. p., 2019. 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: Preprint. United States.
Ding, Fei, Padullaparti, Harsha Vardhana, Baggu, Murali M, Veda, Santosh, and Meor Danial, Shazreen. Mon . "Data Enhanced Hierarchical Control to Improve Distribution Voltage with Extremely High PV Penetration: Preprint". United States. https://www.osti.gov/servlets/purl/1569441.
@article{osti_1569441,
title = {Data Enhanced Hierarchical Control to Improve Distribution Voltage with Extremely High PV Penetration: Preprint},
author = {Ding, Fei and Padullaparti, Harsha Vardhana and Baggu, Murali M and Veda, Santosh and Meor Danial, Shazreen},
abstractNote = {Dynamic, scalable and interoperable control paradigm is 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 work 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 together 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 = {2019},
month = {9}
}

Conference:
Other availability
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