Technologies to Increase PV Hosting Capacity in Distribution Feeders

Fei Ding; Barry Mather; Peter Gotseff

doi:10.1109/PESGM.2016.7741575

Technologies to Increase PV Hosting Capacity in Distribution Feeders

Fei Ding, Barry Mather, Peter Gotseff

Power Systems Engineering

Research output: Contribution to conference › Paper › peer-review

52 Scopus Citations

Abstract

This paper studies the distributed photovoltaic (PV) hosting capacity in distribution feeders by using the stochastic analysis approach. Multiple scenario simulations are conducted to analyze several factors that affect PV hosting capacity, including the existence of voltage regulator, PV location, the power factor of PV inverter and Volt/VAR control. Based on the conclusions obtained from simulation results, three approaches are then proposed to increase distributed PV hosting capacity, which can be formulated as the optimization problem to obtain the optimal solution. All technologies investigated in this paper utilize only existing assets in the feeder and therefore are implementable for a low cost. Additionally, the tool developed for these studies is described.

Original language	American English
Number of pages	5
DOIs	https://doi.org/10.1109/PESGM.2016.7741575 https://doi.org/10.1109/PESGM.2016.7741575
State	Published - 10 Nov 2016
Event	2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States Duration: 17 Jul 2016 → 21 Jul 2016

Conference

Conference	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Country/Territory	United States
City	Boston
Period	17/07/16 → 21/07/16

Bibliographical note

See NREL/CP-5D00-65995 for preprint

NREL Publication Number

NREL/CP-5D00-67679

Keywords

Distribution system
Feeder reconfiguration
Hosting capacity
Photovoltaic (PV)
Smart inverter
Volt/var control
Voltage improvement

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

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title = "Technologies to Increase PV Hosting Capacity in Distribution Feeders",

abstract = "This paper studies the distributed photovoltaic (PV) hosting capacity in distribution feeders by using the stochastic analysis approach. Multiple scenario simulations are conducted to analyze several factors that affect PV hosting capacity, including the existence of voltage regulator, PV location, the power factor of PV inverter and Volt/VAR control. Based on the conclusions obtained from simulation results, three approaches are then proposed to increase distributed PV hosting capacity, which can be formulated as the optimization problem to obtain the optimal solution. All technologies investigated in this paper utilize only existing assets in the feeder and therefore are implementable for a low cost. Additionally, the tool developed for these studies is described.",

keywords = "Distribution system, Feeder reconfiguration, Hosting capacity, Photovoltaic (PV), Smart inverter, Volt/var control, Voltage improvement",

author = "Fei Ding and Barry Mather and Peter Gotseff",

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T1 - Technologies to Increase PV Hosting Capacity in Distribution Feeders

AU - Ding, Fei

AU - Mather, Barry

AU - Gotseff, Peter

N1 - See NREL/CP-5D00-65995 for preprint

PY - 2016/11/10

Y1 - 2016/11/10

N2 - This paper studies the distributed photovoltaic (PV) hosting capacity in distribution feeders by using the stochastic analysis approach. Multiple scenario simulations are conducted to analyze several factors that affect PV hosting capacity, including the existence of voltage regulator, PV location, the power factor of PV inverter and Volt/VAR control. Based on the conclusions obtained from simulation results, three approaches are then proposed to increase distributed PV hosting capacity, which can be formulated as the optimization problem to obtain the optimal solution. All technologies investigated in this paper utilize only existing assets in the feeder and therefore are implementable for a low cost. Additionally, the tool developed for these studies is described.

AB - This paper studies the distributed photovoltaic (PV) hosting capacity in distribution feeders by using the stochastic analysis approach. Multiple scenario simulations are conducted to analyze several factors that affect PV hosting capacity, including the existence of voltage regulator, PV location, the power factor of PV inverter and Volt/VAR control. Based on the conclusions obtained from simulation results, three approaches are then proposed to increase distributed PV hosting capacity, which can be formulated as the optimization problem to obtain the optimal solution. All technologies investigated in this paper utilize only existing assets in the feeder and therefore are implementable for a low cost. Additionally, the tool developed for these studies is described.

KW - Distribution system

KW - Feeder reconfiguration

KW - Hosting capacity

KW - Photovoltaic (PV)

KW - Smart inverter

KW - Volt/var control

KW - Voltage improvement

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U2 - 10.1109/PESGM.2016.7741575

DO - 10.1109/PESGM.2016.7741575

M3 - Paper

AN - SCOPUS:85001864956

T2 - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

Y2 - 17 July 2016 through 21 July 2016

ER -

Technologies to Increase PV Hosting Capacity in Distribution Feeders

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

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