Transmission congestion management through sensitivity based rescheduling of generators using improved monarch butterfly optimization.

The emergence of competitive power markets in recent decades has paved the way for the enormous increase in the number of transactions between producers and consumers to satisfy the exponentially increasing load demand. These transactions usually occur through direct bilateral, multi-lateral agreeme...

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Main Authors: Singh, Vikram, Fozdar, Manoj, Malik, Hasmat, García Márquez, Fausto Pedro
Format: Article
Published: Elsevier Ltd. 2023
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Online Access:http://eprints.utm.my/105608/
http://dx.doi.org/10.1016/j.ijepes.2022.108729
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.1056082024-05-05T06:49:19Z http://eprints.utm.my/105608/ Transmission congestion management through sensitivity based rescheduling of generators using improved monarch butterfly optimization. Singh, Vikram Fozdar, Manoj Malik, Hasmat García Márquez, Fausto Pedro TK Electrical engineering. Electronics Nuclear engineering The emergence of competitive power markets in recent decades has paved the way for the enormous increase in the number of transactions between producers and consumers to satisfy the exponentially increasing load demand. These transactions usually occur through direct bilateral, multi-lateral agreements or some common platform. However, this operation puts additional strain on the transmission network, which serves as a conduit between producers and consumers leading to congestion. As a result, satisfying all the committed power transactions under congested transmission lines economically becomes infeasible. Independent System Operator (ISO) is an entity that is responsible for ensuring congestion-free power transactions to preserve the system's security and reliability. The objective of this work is to mitigate the congestion in the network while satisfying the system constraints resulting in more stable operation with reduced line flows and low system losses. The generator sensitivity factor (GSF) is utilized to single out the generating units that need to be rescheduled to alleviate transmission lines congestion. Further, the proposed variants of Monarch Butterfly Optimization (MBO) namely Improved MBO with linear weighting factor (IMBO-LW) and chaos-embedded MBO (CHMBO) are used to reschedule the generators with an aim to minimize the cost of rescheduling and the total change in power after rescheduling. Additionally, standard benchmark functions are used to validate the effectiveness of the proposed MBO variants and the same variants have been scrutinized on modified IEEE 30-bus and New England 39-bus test systems to alleviate the problem of congestion for secure and reliable operation of power system. Elsevier Ltd. 2023-02 Article PeerReviewed Singh, Vikram and Fozdar, Manoj and Malik, Hasmat and García Márquez, Fausto Pedro (2023) Transmission congestion management through sensitivity based rescheduling of generators using improved monarch butterfly optimization. International Journal of Electrical Power and Energy Systems, 145 (108729). NA-NA. ISSN 0142-0615 http://dx.doi.org/10.1016/j.ijepes.2022.108729 DOI: 10.1016/j.ijepes.2022.108729
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Singh, Vikram
Fozdar, Manoj
Malik, Hasmat
García Márquez, Fausto Pedro
Transmission congestion management through sensitivity based rescheduling of generators using improved monarch butterfly optimization.
description The emergence of competitive power markets in recent decades has paved the way for the enormous increase in the number of transactions between producers and consumers to satisfy the exponentially increasing load demand. These transactions usually occur through direct bilateral, multi-lateral agreements or some common platform. However, this operation puts additional strain on the transmission network, which serves as a conduit between producers and consumers leading to congestion. As a result, satisfying all the committed power transactions under congested transmission lines economically becomes infeasible. Independent System Operator (ISO) is an entity that is responsible for ensuring congestion-free power transactions to preserve the system's security and reliability. The objective of this work is to mitigate the congestion in the network while satisfying the system constraints resulting in more stable operation with reduced line flows and low system losses. The generator sensitivity factor (GSF) is utilized to single out the generating units that need to be rescheduled to alleviate transmission lines congestion. Further, the proposed variants of Monarch Butterfly Optimization (MBO) namely Improved MBO with linear weighting factor (IMBO-LW) and chaos-embedded MBO (CHMBO) are used to reschedule the generators with an aim to minimize the cost of rescheduling and the total change in power after rescheduling. Additionally, standard benchmark functions are used to validate the effectiveness of the proposed MBO variants and the same variants have been scrutinized on modified IEEE 30-bus and New England 39-bus test systems to alleviate the problem of congestion for secure and reliable operation of power system.
format Article
author Singh, Vikram
Fozdar, Manoj
Malik, Hasmat
García Márquez, Fausto Pedro
author_facet Singh, Vikram
Fozdar, Manoj
Malik, Hasmat
García Márquez, Fausto Pedro
author_sort Singh, Vikram
title Transmission congestion management through sensitivity based rescheduling of generators using improved monarch butterfly optimization.
title_short Transmission congestion management through sensitivity based rescheduling of generators using improved monarch butterfly optimization.
title_full Transmission congestion management through sensitivity based rescheduling of generators using improved monarch butterfly optimization.
title_fullStr Transmission congestion management through sensitivity based rescheduling of generators using improved monarch butterfly optimization.
title_full_unstemmed Transmission congestion management through sensitivity based rescheduling of generators using improved monarch butterfly optimization.
title_sort transmission congestion management through sensitivity based rescheduling of generators using improved monarch butterfly optimization.
publisher Elsevier Ltd.
publishDate 2023
url http://eprints.utm.my/105608/
http://dx.doi.org/10.1016/j.ijepes.2022.108729
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