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Title: On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement

Abstract

This paper first studies the estimated distributed PV hosting capacities of seventeen utility distribution feeders using the Monte Carlo simulation based stochastic analysis, and then analyzes the sensitivity of PV hosting capacity to both feeder and photovoltaic system characteristics. Furthermore, an active distribution network management approach is proposed to maximize PV hosting capacity by optimally switching capacitors, adjusting voltage regulator taps, managing controllable branch switches and controlling smart PV inverters. The approach is formulated as a mixed-integer nonlinear optimization problem and a genetic algorithm is developed to obtain the solution. Multiple simulation cases are studied and the effectiveness of the proposed approach on increasing PV hosting capacity is demonstrated.

Authors:
;
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:
1369125
Report Number(s):
NREL/JA-5D00-67598
Journal ID: ISSN 1949-3029
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Resource Relation:
Journal Name: IEEE Transactions on Sustainable Energy; Journal Volume: 8; Journal Issue: 3
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; photovoltaic; hosting capacity; voltage improvement; distribution network management; smart inverter; voltage regulation; network reconfiguration; genetic algorithm

Citation Formats

Ding, Fei, and Mather, Barry. On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement. United States: N. p., 2017. Web. doi:10.1109/TSTE.2016.2640239.
Ding, Fei, & Mather, Barry. On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement. United States. doi:10.1109/TSTE.2016.2640239.
Ding, Fei, and Mather, Barry. Sat . "On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement". United States. doi:10.1109/TSTE.2016.2640239.
@article{osti_1369125,
title = {On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement},
author = {Ding, Fei and Mather, Barry},
abstractNote = {This paper first studies the estimated distributed PV hosting capacities of seventeen utility distribution feeders using the Monte Carlo simulation based stochastic analysis, and then analyzes the sensitivity of PV hosting capacity to both feeder and photovoltaic system characteristics. Furthermore, an active distribution network management approach is proposed to maximize PV hosting capacity by optimally switching capacitors, adjusting voltage regulator taps, managing controllable branch switches and controlling smart PV inverters. The approach is formulated as a mixed-integer nonlinear optimization problem and a genetic algorithm is developed to obtain the solution. Multiple simulation cases are studied and the effectiveness of the proposed approach on increasing PV hosting capacity is demonstrated.},
doi = {10.1109/TSTE.2016.2640239},
journal = {IEEE Transactions on Sustainable Energy},
number = 3,
volume = 8,
place = {United States},
year = {Sat Jul 01 00:00:00 EDT 2017},
month = {Sat Jul 01 00:00:00 EDT 2017}
}