Impact of variable generation in generation resource planning models

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Title: Impact of variable generation in generation resource planning models
Authors: Shortt, Aonghus
O'Malley, Mark
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Date: Jul-2010
Online since: 2011-10-19T16:36:56Z
Abstract: Long-term power system planning is beset by a trade-off between detail and scope: The chosen approach usually lies somewhere between modeling a great many generation portfolios coarsely and very few in a more detailed manner. This paper seeks to argue that the performance of generation portfolios is influenced by a sufficiently large number of variables, of varying uncertainties, such that the long-term investment problem can only be effectively tackled with very many runs of computationally light models that capture the most essential features of the problem. Taking a linear optimization program as the intended computational core, this paper describes two algorithms to build constraints for the linear program which capture many of the effects that are difficult or impossible to capture directly in non-chronological models, namely: unit starts, unit ramping, unit average output and adequate total system capacity. An application of these methods is also presented.
Funding Details: Science Foundation Ireland
Other funder
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2010 IEEE
Keywords: Power generation planningPower generation reliabilityWind power generationPower system maintenance
Subject LCSH: Electric power production--Planning
Electric power production--Reliability
Electric power systems--Maintenance and repair
Wind power
DOI: 10.1109/PES.2010.5589461
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Language: en
Status of Item: Not peer reviewed
Is part of: 2010 IEEE Power and Energy Society General Meeting [proceedings]
Conference Details: Paper presented at the IEEE Power and Energy Society (PES) 2010 General Meeting, July 25-29 2010, Minneapolis, Minnesota
ISBN: 978-1-4244-6549-1
Appears in Collections:ERC Research Collection
Electrical and Electronic Engineering Research Collection

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