Congestion Management for Voltage Security Control in Power System

Congestion in the power system can result from progressing load in the power system. This phenomenon may cause system instability which leads to failure in power delivery to the consumer. Thus, congestion management needs to be performed in power system operation and planning. This initiative will r...

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Published in:Lecture Notes in Electrical Engineering
Main Author: Rabuan N.A.; Musirin I.; Sidik N.; Kamari N.A.M.; Aminudin N.; Johari D.; Kumar A.V.S.
Format: Conference paper
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205134014&doi=10.1007%2f978-981-97-3851-9_28&partnerID=40&md5=b2ff83c6996e9435c690981d87600432
id 2-s2.0-85205134014
spelling 2-s2.0-85205134014
Rabuan N.A.; Musirin I.; Sidik N.; Kamari N.A.M.; Aminudin N.; Johari D.; Kumar A.V.S.
Congestion Management for Voltage Security Control in Power System
2024
Lecture Notes in Electrical Engineering
1213 LNEE

10.1007/978-981-97-3851-9_28
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205134014&doi=10.1007%2f978-981-97-3851-9_28&partnerID=40&md5=b2ff83c6996e9435c690981d87600432
Congestion in the power system can result from progressing load in the power system. This phenomenon may cause system instability which leads to failure in power delivery to the consumer. Thus, congestion management needs to be performed in power system operation and planning. This initiative will require a robust optimization technique so that power failure can be avoided. This paper presents Integrated Accelerated Mutation Evolutionary Programming for Congestion Management in Power Systems. In this study, a new optimization technique is introduced termed Integrated Accelerated Mutation EP (IAMEP). IAMEP is utilized to identify the optimal sizing and locations for distributed generation installation as an option to manage the congestion in the power system. A pre-developed voltage stability index, FVSI is utilized as the indicator for congested lines. Validation on the IEEE 30-Bus RTS demonstrates that the proposed technique managed to reduce the congestion in the power system. A comparative study with EP also reflects its superiority in managing the congestion phenomenon. A significant result which can be highlighted in this paper is the post-DG installation at Qd30 = 25 MVAR, optimized using IAMEP worth 0.4960 from its pre-DG installation of 0.5349. Using EP, it can only manage to reduce it to 0.4980. In voltage security study this is significant and convincing. The result would be beneficial to power system operators and planners for their transmission system management. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Springer Science and Business Media Deutschland GmbH
18761100
English
Conference paper

author Rabuan N.A.; Musirin I.; Sidik N.; Kamari N.A.M.; Aminudin N.; Johari D.; Kumar A.V.S.
spellingShingle Rabuan N.A.; Musirin I.; Sidik N.; Kamari N.A.M.; Aminudin N.; Johari D.; Kumar A.V.S.
Congestion Management for Voltage Security Control in Power System
author_facet Rabuan N.A.; Musirin I.; Sidik N.; Kamari N.A.M.; Aminudin N.; Johari D.; Kumar A.V.S.
author_sort Rabuan N.A.; Musirin I.; Sidik N.; Kamari N.A.M.; Aminudin N.; Johari D.; Kumar A.V.S.
title Congestion Management for Voltage Security Control in Power System
title_short Congestion Management for Voltage Security Control in Power System
title_full Congestion Management for Voltage Security Control in Power System
title_fullStr Congestion Management for Voltage Security Control in Power System
title_full_unstemmed Congestion Management for Voltage Security Control in Power System
title_sort Congestion Management for Voltage Security Control in Power System
publishDate 2024
container_title Lecture Notes in Electrical Engineering
container_volume 1213 LNEE
container_issue
doi_str_mv 10.1007/978-981-97-3851-9_28
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205134014&doi=10.1007%2f978-981-97-3851-9_28&partnerID=40&md5=b2ff83c6996e9435c690981d87600432
description Congestion in the power system can result from progressing load in the power system. This phenomenon may cause system instability which leads to failure in power delivery to the consumer. Thus, congestion management needs to be performed in power system operation and planning. This initiative will require a robust optimization technique so that power failure can be avoided. This paper presents Integrated Accelerated Mutation Evolutionary Programming for Congestion Management in Power Systems. In this study, a new optimization technique is introduced termed Integrated Accelerated Mutation EP (IAMEP). IAMEP is utilized to identify the optimal sizing and locations for distributed generation installation as an option to manage the congestion in the power system. A pre-developed voltage stability index, FVSI is utilized as the indicator for congested lines. Validation on the IEEE 30-Bus RTS demonstrates that the proposed technique managed to reduce the congestion in the power system. A comparative study with EP also reflects its superiority in managing the congestion phenomenon. A significant result which can be highlighted in this paper is the post-DG installation at Qd30 = 25 MVAR, optimized using IAMEP worth 0.4960 from its pre-DG installation of 0.5349. Using EP, it can only manage to reduce it to 0.4980. In voltage security study this is significant and convincing. The result would be beneficial to power system operators and planners for their transmission system management. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
publisher Springer Science and Business Media Deutschland GmbH
issn 18761100
language English
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