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Congestion management optimization in electric transmission system


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Semshchikov, E and Negnevitsky, M ORCID: 0000-0002-5130-419X 2018 , 'Congestion management optimization in electric transmission system', paper presented at the The Australasian Universities Power Engineering Conference (AUPEC 2018), 27-30 November 2018, Auckland, New Zeeland.

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Congestion management in electric transmissionsystems is one of the most important challenges for powersystems with high penetration of renewable energy. Systemcongestion occurs when the desired power flow cannot betransmitted through the network without violating systemoperating limits. In order to prevent severe system damage, asignificant number of congestion management methods havebeen developed, including nodal pricing, load shedding,curtailment of renewable energy generation, generatorrescheduling, optimal transmission switching, etc. Most of thesemethods, however, do not comply with the optimal operation ofconventional power plants subjected to dynamic constraints(manoeuvrability, start-up and shut down times, etc.). In thispaper, the rescheduling generation (or re-dispatch optimization)problem is solved using a modified particle swarm optimization(PSO) algorithm which accounts for start up as well as shutdown times, and the manoeuvrability of conventional powerplants.

Item Type: Conference or Workshop Item (Paper)
Authors/Creators:Semshchikov, E and Negnevitsky, M
Keywords: Congestion management, Particle swarm optimization, Transmission system
Journal or Publication Title: Proceedings of The Australasian Universities Power Engineering Conference (AUPEC 2018)
Publisher: IEEE
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Copyright 2018 IEEE

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