Optimal Placement and Sizing of Hybrid-Source Multi DVR using Genetic Algorithm for Voltage Sag Mitigation

Ni Ketut Aryani; Ahmad Bariq Al Fahri; Ariq Kusuma Wardana

doi:10.1109/ICT-PEP53949.2021.9601070

Optimal Placement and Sizing of Hybrid-Source Multi DVR using Genetic Algorithm for Voltage Sag Mitigation

Ni Ketut Aryani
, Ahmad Bariq Al Fahri
, Ariq Kusuma Wardana

Laboratory of Power System Simulation

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Short circuit fault is one of the severe problems in the power system. This problem causes sag until it gets cleared. This paper proposes an optimization based on Genetic Algorithm (GA) to find the optimal placement and sizing of Dynamic Voltage Restorer (DVR) for voltage sag mitigation in the distribution system. Optimization is conducted with an objective function of minimizing the system losses. The proposed method is tested on the IEEE 33-bus radial distribution system using Matlab/Simulink. Simulation results show that different energy sources have different characteristics to respond voltage sag. Economical cost for investment on the type of energy storage for DVR is also being considered. The optimal result was obtained by combining both battery and supercapacitor as the source for DVR.

Original language	English
Title of host publication	ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power
Subtitle of host publication	Emerging Energy Sustainability, Smart Grid, and Microgrid Technologies for Future Power System, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	85-90
Number of pages	6
ISBN (Electronic)	9781665416412
DOIs	https://doi.org/10.1109/ICT-PEP53949.2021.9601070
Publication status	Published - 2021
Event	3rd International Conference on Technology and Policy in Energy and Electric Power, ICT-PEP 2021 - Yogyakarta, Indonesia Duration: 29 Sept 2021 → 30 Sept 2021

Publication series

Name	ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power: Emerging Energy Sustainability, Smart Grid, and Microgrid Technologies for Future Power System, Proceedings

Conference

Conference	3rd International Conference on Technology and Policy in Energy and Electric Power, ICT-PEP 2021
Country/Territory	Indonesia
City	Yogyakarta
Period	29/09/21 → 30/09/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

DVR optimal placement and sizing
Genetic algorithm
Hybrid-source DVR
Voltage sag

Access to Document

10.1109/ICT-PEP53949.2021.9601070

Cite this

Aryani, N. K., Al Fahri, A. B., & Wardana, A. K. (2021). Optimal Placement and Sizing of Hybrid-Source Multi DVR using Genetic Algorithm for Voltage Sag Mitigation. In ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power: Emerging Energy Sustainability, Smart Grid, and Microgrid Technologies for Future Power System, Proceedings (pp. 85-90). (ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power: Emerging Energy Sustainability, Smart Grid, and Microgrid Technologies for Future Power System, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICT-PEP53949.2021.9601070

Aryani, Ni Ketut ; Al Fahri, Ahmad Bariq ; Wardana, Ariq Kusuma. / Optimal Placement and Sizing of Hybrid-Source Multi DVR using Genetic Algorithm for Voltage Sag Mitigation. ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power: Emerging Energy Sustainability, Smart Grid, and Microgrid Technologies for Future Power System, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 85-90 (ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power: Emerging Energy Sustainability, Smart Grid, and Microgrid Technologies for Future Power System, Proceedings).

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title = "Optimal Placement and Sizing of Hybrid-Source Multi DVR using Genetic Algorithm for Voltage Sag Mitigation",

abstract = "Short circuit fault is one of the severe problems in the power system. This problem causes sag until it gets cleared. This paper proposes an optimization based on Genetic Algorithm (GA) to find the optimal placement and sizing of Dynamic Voltage Restorer (DVR) for voltage sag mitigation in the distribution system. Optimization is conducted with an objective function of minimizing the system losses. The proposed method is tested on the IEEE 33-bus radial distribution system using Matlab/Simulink. Simulation results show that different energy sources have different characteristics to respond voltage sag. Economical cost for investment on the type of energy storage for DVR is also being considered. The optimal result was obtained by combining both battery and supercapacitor as the source for DVR.",

keywords = "DVR optimal placement and sizing, Genetic algorithm, Hybrid-source DVR, Voltage sag",

author = "Aryani, \{Ni Ketut\} and \{Al Fahri\}, \{Ahmad Bariq\} and Wardana, \{Ariq Kusuma\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 3rd International Conference on Technology and Policy in Energy and Electric Power, ICT-PEP 2021 ; Conference date: 29-09-2021 Through 30-09-2021",

year = "2021",

doi = "10.1109/ICT-PEP53949.2021.9601070",

language = "English",

series = "ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power: Emerging Energy Sustainability, Smart Grid, and Microgrid Technologies for Future Power System, Proceedings",

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}

Aryani, NK, Al Fahri, AB & Wardana, AK 2021, Optimal Placement and Sizing of Hybrid-Source Multi DVR using Genetic Algorithm for Voltage Sag Mitigation. in ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power: Emerging Energy Sustainability, Smart Grid, and Microgrid Technologies for Future Power System, Proceedings. ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power: Emerging Energy Sustainability, Smart Grid, and Microgrid Technologies for Future Power System, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 85-90, 3rd International Conference on Technology and Policy in Energy and Electric Power, ICT-PEP 2021, Yogyakarta, Indonesia, 29/09/21. https://doi.org/10.1109/ICT-PEP53949.2021.9601070

Optimal Placement and Sizing of Hybrid-Source Multi DVR using Genetic Algorithm for Voltage Sag Mitigation. / Aryani, Ni Ketut; Al Fahri, Ahmad Bariq; Wardana, Ariq Kusuma.
ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power: Emerging Energy Sustainability, Smart Grid, and Microgrid Technologies for Future Power System, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. p. 85-90 (ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power: Emerging Energy Sustainability, Smart Grid, and Microgrid Technologies for Future Power System, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimal Placement and Sizing of Hybrid-Source Multi DVR using Genetic Algorithm for Voltage Sag Mitigation

AU - Aryani, Ni Ketut

AU - Al Fahri, Ahmad Bariq

AU - Wardana, Ariq Kusuma

PY - 2021

Y1 - 2021

N2 - Short circuit fault is one of the severe problems in the power system. This problem causes sag until it gets cleared. This paper proposes an optimization based on Genetic Algorithm (GA) to find the optimal placement and sizing of Dynamic Voltage Restorer (DVR) for voltage sag mitigation in the distribution system. Optimization is conducted with an objective function of minimizing the system losses. The proposed method is tested on the IEEE 33-bus radial distribution system using Matlab/Simulink. Simulation results show that different energy sources have different characteristics to respond voltage sag. Economical cost for investment on the type of energy storage for DVR is also being considered. The optimal result was obtained by combining both battery and supercapacitor as the source for DVR.

AB - Short circuit fault is one of the severe problems in the power system. This problem causes sag until it gets cleared. This paper proposes an optimization based on Genetic Algorithm (GA) to find the optimal placement and sizing of Dynamic Voltage Restorer (DVR) for voltage sag mitigation in the distribution system. Optimization is conducted with an objective function of minimizing the system losses. The proposed method is tested on the IEEE 33-bus radial distribution system using Matlab/Simulink. Simulation results show that different energy sources have different characteristics to respond voltage sag. Economical cost for investment on the type of energy storage for DVR is also being considered. The optimal result was obtained by combining both battery and supercapacitor as the source for DVR.

KW - DVR optimal placement and sizing

KW - Genetic algorithm

KW - Hybrid-source DVR

KW - Voltage sag

UR - https://www.scopus.com/pages/publications/85123487379

U2 - 10.1109/ICT-PEP53949.2021.9601070

DO - 10.1109/ICT-PEP53949.2021.9601070

M3 - Conference contribution

AN - SCOPUS:85123487379

T3 - ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power: Emerging Energy Sustainability, Smart Grid, and Microgrid Technologies for Future Power System, Proceedings

SP - 85

EP - 90

BT - ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Technology and Policy in Energy and Electric Power, ICT-PEP 2021

Y2 - 29 September 2021 through 30 September 2021

ER -

Aryani NK, Al Fahri AB, Wardana AK. Optimal Placement and Sizing of Hybrid-Source Multi DVR using Genetic Algorithm for Voltage Sag Mitigation. In ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power: Emerging Energy Sustainability, Smart Grid, and Microgrid Technologies for Future Power System, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. p. 85-90. (ICT-PEP 2021 - International Conference on Technology and Policy in Energy and Electric Power: Emerging Energy Sustainability, Smart Grid, and Microgrid Technologies for Future Power System, Proceedings). doi: 10.1109/ICT-PEP53949.2021.9601070

Optimal Placement and Sizing of Hybrid-Source Multi DVR using Genetic Algorithm for Voltage Sag Mitigation

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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