Competition vs. coordination: Optimising wind, solar and batteries in renewable energy zones

Decarbonising Australia's power system requires high market shares of variable renewable energy. An important policy initiative to achieve this is the establishment of Renewable Energy Zones (REZs). As renewable market share increases, curtailment within REZs is predictable. Curtailment occurs due to low utilisation rates or high peak-to-average output ratios of intermittent renewables (being ∼3:1), largely inelastic aggregate final electricity demand, and the economic limits of REZ network transfer capacity. In an open access, multi-zonal market setup, an intuitive response by policymakers may be to undertake connection reform (i.e. priority access) and underwrite storage assets to alleviate the worst effects of curtailment. Prima facie, curtailment and lines congestion may be reduced and wind and solar capacity increased through the deployment of battery storage. However, as model results in this article reveal, priority access can make multi-zonal markets more sensitive to curtailment, and competitive batteries within a REZ can aggravate congestion. Further, early entrant batteries may oversize their MW capacity and crowd-out renewables. All these cases harm welfare within a REZ. Optimally sized and coordinated ‘portfolio’ batteries alleviate congestion because they don't compete for scarce REZ transfer capacity. • Renewable Energy Zones (REZ) with wind, solar & battery storage are modelled. • Open Access and Priority Access regimes are compared. • Rival battery competes for transmission capacity, portfolio battery relieves congestion. • Early entrant batteries may oversize within a REZ and compete for transmission capacity. • Portfolio batteries inside a REZ increase productivity and maximise welfare.

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Publication Details

Journal
Energy Economics
Published
2025-02-06
DOI
https://doi.org/10.1016/j.eneco.2025.108279
Citations
9
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
6.57
Controls
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article

Competition vs. coordination: Optimising wind, solar and batteries in renewable energy zones

Paul Simshauser
9 citations
Energy Economics
Electric Power System Optimization
6.57
article

Competition vs. coordination: Optimising wind, solar and batteries in renewable energy zones

Paul Simshauser
article en
9 citations

Abstract

Decarbonising Australia's power system requires high market shares of variable renewable energy. An important policy initiative to achieve this is the establishment of Renewable Energy Zones (REZs). As renewable market share increases, curtailment within REZs is predictable. Curtailment occurs due to low utilisation rates or high peak-to-average output ratios of intermittent renewables (being ∼3:1), largely inelastic aggregate final electricity demand, and the economic limits of REZ network transfer capacity. In an open access, multi-zonal market setup, an intuitive response by policymakers may be to undertake connection reform (i.e. priority access) and underwrite storage assets to alleviate the worst effects of curtailment. Prima facie, curtailment and lines congestion may be reduced and wind and solar capacity increased through the deployment of battery storage. However, as model results in this article reveal, priority access can make multi-zonal markets more sensitive to curtailment, and competitive batteries within a REZ can aggravate congestion. Further, early entrant batteries may oversize their MW capacity and crowd-out renewables. All these cases harm welfare within a REZ. Optimally sized and coordinated ‘portfolio’ batteries alleviate congestion because they don't compete for scarce REZ transfer capacity. • Renewable Energy Zones (REZ) with wind, solar & battery storage are modelled. • Open Access and Priority Access regimes are compared. • Rival battery competes for transmission capacity, portfolio battery relieves congestion. • Early entrant batteries may oversize within a REZ and compete for transmission capacity. • Portfolio batteries inside a REZ increase productivity and maximise welfare.

Energy EconomicsVol. 143
Griffith University (AU), University of Cambridge (GB)
Affordable and clean energy
Openalex Percentile: Top 3%
Electric Power System Optimization
6.57
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