Probabilistic Optimisation of Generation Scheduling Considering Wind Power Output and Stochastic Line Capacity

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, tra...

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Main Authors: Banerjee, Binayak, Jayaweera, Dilan, Islam, Syed
Other Authors: Mochamad Ashari (General Chair)
Format: Conference Paper
Published: Institut Teknologi Sepuluh Nopember 2012
Online Access:http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6360252
http://hdl.handle.net/20.500.11937/23072
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author Banerjee, Binayak
Jayaweera, Dilan
Islam, Syed
author2 Mochamad Ashari (General Chair)
author_facet Mochamad Ashari (General Chair)
Banerjee, Binayak
Jayaweera, Dilan
Islam, Syed
author_sort Banerjee, Binayak
building Curtin Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-14T07:46:32Z
format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:46:32Z
publishDate 2012
publisher Institut Teknologi Sepuluh Nopember
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-230722017-01-30T12:35:20Z Probabilistic Optimisation of Generation Scheduling Considering Wind Power Output and Stochastic Line Capacity Banerjee, Binayak Jayaweera, Dilan Islam, Syed Mochamad Ashari (General Chair) 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. 2012 Conference Paper http://hdl.handle.net/20.500.11937/23072 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6360252 Institut Teknologi Sepuluh Nopember fulltext
spellingShingle Banerjee, Binayak
Jayaweera, Dilan
Islam, Syed
Probabilistic Optimisation of Generation Scheduling Considering Wind Power Output and Stochastic Line Capacity
title Probabilistic Optimisation of Generation Scheduling Considering Wind Power Output and Stochastic Line Capacity
title_full Probabilistic Optimisation of Generation Scheduling Considering Wind Power Output and Stochastic Line Capacity
title_fullStr Probabilistic Optimisation of Generation Scheduling Considering Wind Power Output and Stochastic Line Capacity
title_full_unstemmed Probabilistic Optimisation of Generation Scheduling Considering Wind Power Output and Stochastic Line Capacity
title_short Probabilistic Optimisation of Generation Scheduling Considering Wind Power Output and Stochastic Line Capacity
title_sort probabilistic optimisation of generation scheduling considering wind power output and stochastic line capacity
url http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6360252
http://hdl.handle.net/20.500.11937/23072