Congestion management of power systems by optimizing grid topology and using dynamic thermal rating

•We propose multiobjective-based congestion management framework incorporating OTS and DTR.•System dispatch cost, system reliability and congestion management are performed.•The joint optimization of OTS and DTR can improve the utilize the existing transmission infrastructure.•The model is used for...

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Bibliographic Details
Published in:	Electric power systems research Vol. 199; p. 107433
Main Authors:	EL-Azab, M., Omran, W.A., Mekhamer, S.F., Talaat, H.E.A.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.10.2021 Elsevier Science Ltd
Subjects:	Algorithms Congestion Dynamic thermal rating Electric power demand Electric power lines Electric power systems Electrical loads Electricity distribution Energy management Machine learning MOTLBO Multi- objective optimization Multiple objective analysis Network topology optimization Optimal transmission switching Pareto optimization Pareto optimum Probabilistic load flow Reconfiguration Switching System reliability Topology optimization Two points estimation method Uncertainty Wind power Wind power generation MOTLBO Probabilistic load flow Uncertainty Dynamic thermal rating Two points estimation method Network topology optimization Optimal transmission switching Wind power Multi- objective optimization
ISSN:	0378-7796, 1873-2046
Online Access:	Get full text
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