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Impacts of incorporating Distributed Generation (DG) to the reliability of electric distribution network using Monte Carlo Simulation (MCS)

Reliability evaluation is one of the primary techniques for assessing the stability of the distribution network. Placement of distributed generation (DG) into the network provide a significant impact on reliability performance. Commonly, more research focuses on voltage and power loss-based placemen...

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Main Authors: Ahmad Zairi, Mohd Zain, Mohd Ikhwan, Muhammad Ridzuan, Nur Zahirah, Mohd Ali
Format: Conference or Workshop Item
Language:English
English
Published: Institution of Engineering and Technology 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/42001/1/Impacts%20of%20incorporating%20Distributed%20Generation%20%28DG%29.pdf
http://umpir.ump.edu.my/id/eprint/42001/2/Impacts%20of%20incorporating%20Distributed%20Generation%20%28DG%29%20to%20the%20reliability%20of%20electric%20distribution%20network%20using%20Monte%20Carlo%20Simulation%20%28MCS%29_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42001/
https://doi.org/10.1049/icp.2022.2639
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spelling my.ump.umpir.420012024-09-30T04:35:44Z http://umpir.ump.edu.my/id/eprint/42001/ Impacts of incorporating Distributed Generation (DG) to the reliability of electric distribution network using Monte Carlo Simulation (MCS) Ahmad Zairi, Mohd Zain Mohd Ikhwan, Muhammad Ridzuan Nur Zahirah, Mohd Ali T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Reliability evaluation is one of the primary techniques for assessing the stability of the distribution network. Placement of distributed generation (DG) into the network provide a significant impact on reliability performance. Commonly, more research focuses on voltage and power loss-based placement rather than reliability-based. Therefore, this paper presents the impact of the placement of two different DG size scenarios based on reliability effectiveness. IEEE-30 bus system will be used to simulate the reliability of the network. Monte Carlo Simulation (MCS) will be implemented to determine customer-related as well as system reliability performance. Based on the output of the simulation, the values of the reliability indices (SAIFI, SAIDI and CAIDI) give a different result between scenarios as impact of the placement of DG to the network. Institution of Engineering and Technology 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42001/1/Impacts%20of%20incorporating%20Distributed%20Generation%20%28DG%29.pdf pdf en http://umpir.ump.edu.my/id/eprint/42001/2/Impacts%20of%20incorporating%20Distributed%20Generation%20%28DG%29%20to%20the%20reliability%20of%20electric%20distribution%20network%20using%20Monte%20Carlo%20Simulation%20%28MCS%29_ABS.pdf Ahmad Zairi, Mohd Zain and Mohd Ikhwan, Muhammad Ridzuan and Nur Zahirah, Mohd Ali (2022) Impacts of incorporating Distributed Generation (DG) to the reliability of electric distribution network using Monte Carlo Simulation (MCS). In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 329-334., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published) https://doi.org/10.1049/icp.2022.2639
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Ahmad Zairi, Mohd Zain
Mohd Ikhwan, Muhammad Ridzuan
Nur Zahirah, Mohd Ali
Impacts of incorporating Distributed Generation (DG) to the reliability of electric distribution network using Monte Carlo Simulation (MCS)
description Reliability evaluation is one of the primary techniques for assessing the stability of the distribution network. Placement of distributed generation (DG) into the network provide a significant impact on reliability performance. Commonly, more research focuses on voltage and power loss-based placement rather than reliability-based. Therefore, this paper presents the impact of the placement of two different DG size scenarios based on reliability effectiveness. IEEE-30 bus system will be used to simulate the reliability of the network. Monte Carlo Simulation (MCS) will be implemented to determine customer-related as well as system reliability performance. Based on the output of the simulation, the values of the reliability indices (SAIFI, SAIDI and CAIDI) give a different result between scenarios as impact of the placement of DG to the network.
format Conference or Workshop Item
author Ahmad Zairi, Mohd Zain
Mohd Ikhwan, Muhammad Ridzuan
Nur Zahirah, Mohd Ali
author_facet Ahmad Zairi, Mohd Zain
Mohd Ikhwan, Muhammad Ridzuan
Nur Zahirah, Mohd Ali
author_sort Ahmad Zairi, Mohd Zain
title Impacts of incorporating Distributed Generation (DG) to the reliability of electric distribution network using Monte Carlo Simulation (MCS)
title_short Impacts of incorporating Distributed Generation (DG) to the reliability of electric distribution network using Monte Carlo Simulation (MCS)
title_full Impacts of incorporating Distributed Generation (DG) to the reliability of electric distribution network using Monte Carlo Simulation (MCS)
title_fullStr Impacts of incorporating Distributed Generation (DG) to the reliability of electric distribution network using Monte Carlo Simulation (MCS)
title_full_unstemmed Impacts of incorporating Distributed Generation (DG) to the reliability of electric distribution network using Monte Carlo Simulation (MCS)
title_sort impacts of incorporating distributed generation (dg) to the reliability of electric distribution network using monte carlo simulation (mcs)
publisher Institution of Engineering and Technology
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/42001/1/Impacts%20of%20incorporating%20Distributed%20Generation%20%28DG%29.pdf
http://umpir.ump.edu.my/id/eprint/42001/2/Impacts%20of%20incorporating%20Distributed%20Generation%20%28DG%29%20to%20the%20reliability%20of%20electric%20distribution%20network%20using%20Monte%20Carlo%20Simulation%20%28MCS%29_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42001/
https://doi.org/10.1049/icp.2022.2639
_version_ 1822924680077508608
score 13.232389

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