Planning of distributed generation sources wind and PV in IEEE 33-bus system

To mitigate the impacts of rising power consumption and new technologies for distributed generation, microgrids are being developed. Another consequence of this is the expansion of the distribution network to include more microgrids, often known as multi-microgrid systems. Undoubtedly, renewable generators contribute to today's electrical energy networks. However, when it comes to scheduling, this might introduce uncertainty into the entities' mathematical models. Therefore, the future of a multi-day microgrid is planned using chance-constrained programming in this study. A system operating in an unpredictable setting. The traditional units are being utilized alongside the renewable energy units, which might have negative effects on the environment, such as increasing greenhouse gas emissions..

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Publication Details

Journal
ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)
Published
2025-01-01
DOI
https://doi.org/10.5935/jetia.v11i53.1654
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Planning of distributed generation sources wind and PV in IEEE 33-bus system

Krar Shakir Alibrahimi, Seyed Mohamed Hassan Hossaini
ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)
Power Systems and Renewable Energy
article

Planning of distributed generation sources wind and PV in IEEE 33-bus system

Krar Shakir Alibrahimi, Seyed Mohamed Hassan Hossaini
article en

Abstract

To mitigate the impacts of rising power consumption and new technologies for distributed generation, microgrids are being developed. Another consequence of this is the expansion of the distribution network to include more microgrids, often known as multi-microgrid systems. Undoubtedly, renewable generators contribute to today's electrical energy networks. However, when it comes to scheduling, this might introduce uncertainty into the entities' mathematical models. Therefore, the future of a multi-day microgrid is planned using chance-constrained programming in this study. A system operating in an unpredictable setting. The traditional units are being utilized alongside the renewable energy units, which might have negative effects on the environment, such as increasing greenhouse gas emissions..

ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)Vol. 11(53)
Affordable and clean energy
Openalex Percentile: Top 85%
Power Systems and Renewable Energy
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