Show simple item record

dc.contributor.authorBanerjee, Binayak
dc.contributor.authorJayaweera, Dilan
dc.contributor.authorIslam, Syed
dc.contributor.editorMochamad Ashari (General Chair)
dc.identifier.citationBanerjee, B. and Jayaweera, D. and Islam, S. 2012. Probabilistic Optimisation of Generation Scheduling Considering Wind Power Output and Stochastic Line Capacity, in Mochamad Ashari (General Chair) (ed), 22nd Australasian Universities Power Engineering Conference, Sep 26 2012. Bali, Indonesia: Institut Teknologi Sepuluh Nopember.

Optimising the power flow in a system has been a challenge for decades. Due to the complexities that are introduced by new technologies, this problem is evolving. Lately, the effect of integrating wind turbines into the system has been taken into account when solving optimal power flow. However, transmission system constraints are usually modeled as fixed constraints using deterministic methods. Deterministic transmission line ratings have been shown to significantly underestimate the capability of the network. However, probabilistic line ratings are not used in optimization studies. In this paper, stochastic optimisation is used to consider the integration of wind turbines as well as probabilistic real time line capacities. It is shown that optimization considering probabilistic line ratings that lead to dynamic constraints in the OPF problem, represents the operational situation more accurately. This approach further reduces the optimum cost of system operation.

dc.publisherInstitut Teknologi Sepuluh Nopember
dc.titleProbabilistic Optimisation of Generation Scheduling Considering Wind Power Output and Stochastic Line Capacity
dc.typeConference Paper
dcterms.source.titleProceedings of the 22nd Australasian Universities Power Engineering Conference
dcterms.source.seriesProceedings of the 22nd Australasian Universities Power Engineering Conference
dcterms.source.conference22nd Australasian Universities Power Engineering Conference
dcterms.source.conference-start-dateSep 26 2012
dcterms.source.conferencelocationBali, Indonesia
dcterms.source.placeBali, Indonesia

Copyright © 2012 IEEE. Personal use of this material is permitted. Permission from IEEEmust be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusOpen access

Files in this item


This item appears in the following Collection(s)

Show simple item record