Retrospective modeling of the merit-order effect on wholesale electricity prices from distributed photovoltaic generation in the Australian National Electricity Market

By D. McConnell, P. Hearps, D. Eales, Mike Sandiford, R. Dunn, M. Wright, Lachlan Samuel Bateman. 2013

128 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/b81fa877f845937b01f65f59101601dbb55631d1

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In Electrical and Electronic Engineering

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

The merit order effect of wind and photovoltaic electricity generation in Germany 2008–2016: Estimation and distributional implications (2014, methodology): “This forecasting exercise is somewhat similar to McConnell et al. (2013) in that we use historical data and results from our regression analysis to extrapolate results under different assumptions on development of generation by PV and wind and total load.”
Competition in Electricity Markets with Renewable Energy Sources (2017, background): “McConnella et al. (2013) calculate the reduction of wholesale prices through the MoE on the Australian national electricity market and show that policy incentives such as feed-in tariffs can produce an economic beneﬁt—savings in wholesale electricity prices via the merit order effect.”
Business models as drivers of the low carbon power system transition: a multi-level perspective (2016, background): “Furthermore, a high share of renewable technology, having the 1 lowest marginal cost in electricity market, ultimately drive wholesale prices down in a process called the “Merit-Order 2 Effect” (McConnell et al., 2013; Ray, 2010).”
The effect of wind and solar power generation on wholesale electricity prices in Australia (2019, background): “, 2016), there is a limited evidence showing similar merit order effect in Australia (Cutler et al., 2011; Cludius, et al., 2014a; Forrest and MacGill, 2013; McConnell et al., 2013; Bell et al., 2017, Simhauser, 2018).”
Electricity price forecasting using sale and purchase curves: The X-Model (2015, background): “There are many papers (e.g. Sensfuß et al. (2008), McConnell et al. (2013), Cludius et al. (2014), Dillig et al. (2016)) that aim for estimating these eﬀects.”