Stochastic Optimization Model to Study the Operational Impacts of High Wind Penetrations in Ireland

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Title: Stochastic Optimization Model to Study the Operational Impacts of High Wind Penetrations in Ireland
Authors: Meibom, Peter
Barth, Rudiger
Hasche, Bernhard
et al.
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Date: Aug-2011
Online since: 2013-10-11T16:08:26Z
Abstract: A stochastic mixed integer linear optimization scheduling model minimizing system operation costs and treating load and wind power production as stochastic inputs is presented. The schedules are updated in a rolling manner as more up-to-date information becomes available. This is a fundamental change relative to day-ahead unit commitment approaches. The need for reserves dependent on forecast horizon and share of wind power has been estimated with a statistical model combining load and wind power forecast errors with scenarios of forced outages. The model is used to study operational impacts of future high wind penetrations for the island of Ireland. Results show that at least 6000 MW of wind (34% of energy demand) can be integrated into the island of Ireland without significant curtailment and reliability problems.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE Transactions on Power Systems
Volume: 26
Issue: 3
Start page: 1367
End page: 1379
Copyright (published version): 2011 Institute of Electrical and Electronics Engineers
Keywords: Wind powerunit commitment and dispatchreservesforecast errorsenergy policy
DOI: 10.1109/TPWRS.2010.2070848
Language: en
Status of Item: Peer reviewed
Appears in Collections:ERC Research Collection
Electrical and Electronic Engineering Research Collection

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