A Study on Selecting Optimal Volt-VAR Control Curve of Smart Inverter Considering Hosting Capacity and System Loss

Miu Jae Kaug; Ji Soo Kim; Jin Sol Song; Ho Young Choi; Hyung Jin Oh; Woo Geun Park; Chul Hwan Kim

doi:10.5370/KIEE.2021.70.1.007

A Study on Selecting Optimal Volt-VAR Control Curve of Smart Inverter Considering Hosting Capacity and System Loss

Miu Jae Kaug
, Ji Soo Kim
, Jin Sol Song
, Ho Young Choi
, Hyung Jin Oh
, Woo Geun Park
, Chul Hwan Kim

Department of Electronic and Electrical Engineering

Sungkyunkwan University

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

The penetration of Renewable Energy Source (RES) has been increasing because RES is drawing attention by the environmental problem in the worldwide. The power flow can be changed from unidirectional to bidirectional because of increasing the penetration of RES. In bidirectional system the efficient operation of conventional Voltage Regulators (VRs) is difficult. As one of the various methods to reinforce the conventional VR the Volt-VAR control of the Smart Inverter (SI) is used for supporting the voltage by using the reactive power of RES. In this paper, the Volt-VAR control curve with the modified dead band is analyzed for the factors affecting the Hosting Capacity (HC) and the enhanced method to obtain the maximum HC. The modified Volt-VAR control curve is applied and the power flow is calculated through Open source Distribution System Simulator (OpenDSS). The maximum HC is obtained through Genetic Algorithm (GA) using MATLAB.

Original language	English
Pages (from-to)	7-13
Number of pages	7
Journal	Transactions of the Korean Institute of Electrical Engineers
Volume	70
Issue number	1
DOIs	https://doi.org/10.5370/KIEE.2021.70.1.007
State	Published - Jan 2021

Keywords

Genetic algorithm,hosting capacity,Renewable energy source,smart inverter,volt-var control

UN SDGs

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

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10.5370/KIEE.2021.70.1.007

Cite this

@article{533a921610fe429aa418ab0bbfb01bb0,

title = "A Study on Selecting Optimal Volt-VAR Control Curve of Smart Inverter Considering Hosting Capacity and System Loss",

abstract = "The penetration of Renewable Energy Source (RES) has been increasing because RES is drawing attention by the environmental problem in the worldwide. The power flow can be changed from unidirectional to bidirectional because of increasing the penetration of RES. In bidirectional system the efficient operation of conventional Voltage Regulators (VRs) is difficult. As one of the various methods to reinforce the conventional VR the Volt-VAR control of the Smart Inverter (SI) is used for supporting the voltage by using the reactive power of RES. In this paper, the Volt-VAR control curve with the modified dead band is analyzed for the factors affecting the Hosting Capacity (HC) and the enhanced method to obtain the maximum HC. The modified Volt-VAR control curve is applied and the power flow is calculated through Open source Distribution System Simulator (OpenDSS). The maximum HC is obtained through Genetic Algorithm (GA) using MATLAB.",

keywords = "Genetic algorithm,hosting capacity,Renewable energy source,smart inverter,volt-var control",

author = "Kaug, \{Miu Jae\} and Kim, \{Ji Soo\} and Song, \{Jin Sol\} and Choi, \{Ho Young\} and Oh, \{Hyung Jin\} and Park, \{Woo Geun\} and Kim, \{Chul Hwan\}",

note = "Publisher Copyright: {\textcopyright} Korean Institute of Electrical Engineers.",

year = "2021",

month = jan,

doi = "10.5370/KIEE.2021.70.1.007",

language = "English",

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AU - Kaug, Miu Jae

AU - Kim, Ji Soo

AU - Song, Jin Sol

AU - Choi, Ho Young

AU - Oh, Hyung Jin

AU - Park, Woo Geun

AU - Kim, Chul Hwan

PY - 2021/1

Y1 - 2021/1

N2 - The penetration of Renewable Energy Source (RES) has been increasing because RES is drawing attention by the environmental problem in the worldwide. The power flow can be changed from unidirectional to bidirectional because of increasing the penetration of RES. In bidirectional system the efficient operation of conventional Voltage Regulators (VRs) is difficult. As one of the various methods to reinforce the conventional VR the Volt-VAR control of the Smart Inverter (SI) is used for supporting the voltage by using the reactive power of RES. In this paper, the Volt-VAR control curve with the modified dead band is analyzed for the factors affecting the Hosting Capacity (HC) and the enhanced method to obtain the maximum HC. The modified Volt-VAR control curve is applied and the power flow is calculated through Open source Distribution System Simulator (OpenDSS). The maximum HC is obtained through Genetic Algorithm (GA) using MATLAB.

AB - The penetration of Renewable Energy Source (RES) has been increasing because RES is drawing attention by the environmental problem in the worldwide. The power flow can be changed from unidirectional to bidirectional because of increasing the penetration of RES. In bidirectional system the efficient operation of conventional Voltage Regulators (VRs) is difficult. As one of the various methods to reinforce the conventional VR the Volt-VAR control of the Smart Inverter (SI) is used for supporting the voltage by using the reactive power of RES. In this paper, the Volt-VAR control curve with the modified dead band is analyzed for the factors affecting the Hosting Capacity (HC) and the enhanced method to obtain the maximum HC. The modified Volt-VAR control curve is applied and the power flow is calculated through Open source Distribution System Simulator (OpenDSS). The maximum HC is obtained through Genetic Algorithm (GA) using MATLAB.

KW - Genetic algorithm,hosting capacity,Renewable energy source,smart inverter,volt-var control

UR - https://www.scopus.com/pages/publications/85102504844

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DO - 10.5370/KIEE.2021.70.1.007

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EP - 13

JO - Transactions of the Korean Institute of Electrical Engineers

JF - Transactions of the Korean Institute of Electrical Engineers

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ER -

A Study on Selecting Optimal Volt-VAR Control Curve of Smart Inverter Considering Hosting Capacity and System Loss

Abstract

Keywords

UN SDGs

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