Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/3923
Title: Impact of the growing penetration of renewable energy production on the Iberian long-term electricity market
Authors: Santos, Sérgio F.
Gough, Matthew
Pinto, João P. G. V.
Osório, Gerardo J.
Javadi, Mohammad
Keywords: Neural networks
Electricity price
Price impacts
Electricity market
Renewable energy
Issue Date: Sep-2021
Publisher: IEEE
Citation: Santos, S. F., Gough, M., Pinto, J. P. G. V., Osório, G. J., & Javadi, M. (2021). Impact of the growing penetration of renewable energy production on the Iberian long-term electricity market. In Proceedings of the 21th IEEE International Conference on Environment and Electrical Engineering and 5th IEEE Industrial and Commercial Power Systems Europe (EEEIC 2021 / I&CPS Europe 2021), Bari, Italy, 7-10 September 2021 (pp. 1-6). doi: 10.1109/EEEIC/ICPSEurope51590.2021.9584499. Disponível no Repositório UPT, http://hdl.handle.net/11328/3923
Abstract: The increasing penetration of renewable energy sources in areas with wholesale energy markets may have significant impacts on the prices of electricity within these markets. These renewable energy sources typically have low or zero marginal prices and thus can bid into energy markets at prices that might be below plants using other generating technologies. This work seeks to understand the impact of these zero marginal cost plants in the Iberian Energy Market. This work makes use of an Artificial Neural Network (ANN) to evaluate the impact of growing renewable energy generation on the market-clearing price. Real data from the Iberian Energy Market is chosen and used to train the ANN. The scenarios used for renewable energy generation are taken from the newly published national energy and climate plans for both Spain and Portugal. Results show that increasing penetration of renewable energy leads to significant reductions in the forecasted energy price, showing a price decrease of about 23 €/MWh in 2030 compared to the baseline. Increasing solar PV generation has the largest effect on market prices.
URI: http://hdl.handle.net/11328/3923
ISSN: 978-1-6654-3613-7
Appears in Collections:REMIT - Publicações em Livros de Atas Internacionais / Papers in International Proceedings

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