open access publication

Article, 2024

Navigating the crisis: Fuel price caps in the Australian national wholesale electricity market

Energy Economics, ISSN 0140-9883, 1873-6181, Volume 129, Page 107237, 10.1016/j.eneco.2023.107237

Contributors

Pourkhanali, Armin 0000-0002-4784-7765 [1] Khezr, Peyman 0000-0002-7559-6465 [1] Nepal, Rabindra 0000-0001-9378-6206 (Corresponding author) [2] Jamasb, Tooraj [3]

Affiliations

  1. [1] RMIT University
  2. [NORA names: Australia; Oceania; OECD];
  3. [2] University of Wollongong
  4. [NORA names: Australia; Oceania; OECD];
  5. [3] Copenhagen Business School
  6. [NORA names: CBS Copenhagen Business School; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Fuel price caps are one of the potential regulatory tools for controlling wholesale electricity prices when fuel prices are volatile. In this paper, we introduce a theoretical model to study the effects of such caps on firms’ bidding behaviour and clearing prices in spot market auctions. We then use data from the Australian National Electricity Market (NEM), which recently implemented such caps, to empirically test and compare their effectiveness in three different states. Our theoretical findings suggest that fuel price caps can be binding, especially when electricity demand is lower and competition among generators is higher. When demand is high, alternative policy tools, such as market price caps, may be more effective in controlling auction prices. Our empirical analysis employs various techniques, such as Generalized Additive Models (GAM) and machine learning algorithms, to test the effectiveness of price caps in the NEM. We find mixed results regarding the effectiveness of fuel price caps in different states. Specifically, fuel price caps reduced wholesale electricity prices in Queensland and New South Wales, while they were not effective in controlling wholesale prices in Victoria.

Keywords

Australian National Electricity Market, Australians, National Electricity Market, New, New South Wales, Queensland, South Wales, Victoria, Wales, additive model, algorithm, alternative policy tools, analysis, auction, auction prices, behavior, bidding behavior, cap, clearing price, competition, crisis, data, demand, different states, effect, effects of price caps, electricity, electricity demand, electricity market, electricity prices, empirical analysis, findings, firms, firms' bidding behavior, fuel, fuel prices, generalized additive model, generation, learning algorithms, machine, machine learning algorithms, market, market auctions, market price caps, model, policy tools, price, price caps, regulatory tools, state, technique, theoretical findings, theoretical model, tools, wholesale electricity market, wholesale electricity prices, wholesale price

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