Flexible transmission planning considering growing uncertainties from Renewable energy integration

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dc.contributor.authorRen, Hui
dc.contributor.authorFan, Xiaozhou
dc.contributor.authorWatts Casimis, David
dc.contributor.authorLv, Xingchen
dc.date.accessioned2022-05-13T19:15:17Z
dc.date.available2022-05-13T19:15:17Z
dc.date.issued2012
dc.description.abstractPower systems are set to undergo dramatic changes driven by several factors ranging from climate change to technological developments. It is expected that networks will become more flexible to deal with increasing uncertainties, in those coming from future generation technologies and their locations as well as those from system operation practices. These developments will require fundamental changes in the way power systems are planned. This paper introduces a method of flexible transmission network planning with the traditional corrective control action assumed in the course of network planning. A two-stage solution algorithm is proposed combing Genetic Algorithm and Monte Carlo simulation. Candidate planning schemes are decided by Genetic Algorithm. Monte Carlo simulation and sensitivity method are used to find the most vulnerable part of the network, and then decides the amended control devices needed to be installed to achieve the optimum objective function and satisfy operational constraints (for each tested planning scheme). Discrete constraints associated with voltage control devices are included to make the simulation more realistic. The most flexible planning scheme is then defined as the one which needs the least investment on extra control devices. The proposed approach is implemented on an 18- bus test system and its feasibility is demonstrated.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/PowerCon.2012.6401393
dc.identifier.isbn978-1467328685
dc.identifier.urihttps://doi.org/10.1109/PowerCon.2012.6401393
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6401393
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63876
dc.information.autorucEscuela de ingeniería ; Watts Casimis, David ; S/I ; 93141
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherIEEE
dc.relation.ispartofIEEE International Conference on Power System Technology (2012 : Auckland, Nueva Zelanda)
dc.rightsacceso restringido
dc.subjectPower capacitors
dc.subjectThyristors
dc.subjectGenetics
dc.subjectReliability
dc.subjectInvestments
dc.subjectEconomics
dc.titleFlexible transmission planning considering growing uncertainties from Renewable energy integrationes_ES
dc.typecomunicación de congreso
sipa.codpersvinculados93141
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