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Impact of operational constraints on generation portfolio planning with renewables

Authors: T. Lozanov; Jenny Riesz; Iain MacGill; Peerapat Vithayasrichareon;

Impact of operational constraints on generation portfolio planning with renewables

Abstract

Increasing variable renewable generation penetrations will cause increased cycling operation for conventional generating plants. Not all of these plants are necessarily well suited to such operation. Traditional long-term generation planning frameworks often neglect these operational characteristics and therefore do not reflect the operational constraints and costs associated with cycling of generating plants. Using a detailed generation dispatch model in PLEXOS, this study assesses the potential impact of short-term operational constraints and costs on future ‘high renewable’ generation portfolios obtained from a long-term portfolio planning framework. A case study of the Australian National Electricity Market (NEM) with different renewable penetrations, ranging from 15% to 85%, suggests that the technical and cost impacts associated with the operational constraints modelled are moderate even at high renewable penetrations. The extent of the impacts also depends particularly on the level of carbon price and the mix of generation technologies within the portfolios.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
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    Top 10%
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Top 10%