The merit-order effect in the Italian power market: The impact of solar and wind generation on national wholesale electricity prices

Energy Policy ◽  
2015 ◽  
Vol 77 ◽  
pp. 79-88 ◽  
Author(s):  
Stefano Clò ◽  
Alessandra Cataldi ◽  
Pietro Zoppoli
2021 ◽  
Author(s):  
Heikki Peura ◽  
Derek W. Bunn

Increasing variable renewable power generation (e.g., wind) is expected to reduce wholesale electricity prices by virtue of its low marginal production cost. This merit-order effect of renewables displacing incumbent conventional (e.g., gas) generation forms the theoretical underpinning for investment decisions and policy in the power industry. This paper uses a game-theoretic market model to investigate how intermittently available wind generation affects electricity prices in the presence of forward markets, which are widely used by power companies to hedge against revenue variability ahead of near-real-time spot trading. We find that in addition to the established merit-order effect, renewable generation affects power prices through forward-market hedging. This forward effect reinforces the merit-order effect in reducing prices for moderate amounts of wind generation capacity but mitigates or even reverses it for higher capacities. For moderate wind capacity, uncertainty over its output increases hedging, and these higher forward sales lead to lower prices. For higher capacities, however, wind variability conversely causes power producers to behave less aggressively in forward trading for fear of unfavorable spot-market positions. The lower sales counteract the merit-order effect, and prices may then paradoxically increase with wind capacity despite its lower production cost. We confirm the potential for such reversals in a numerical study, suggesting new empirical questions while providing potential explanations for previously contradictory observed effects of market fundamentals. We conclude that considering the conventional merit-order effect alone is insufficient for evaluating the price impacts of variable renewable generation in the presence of forward markets. This paper was accepted by Vishal Gaur, operations management.


Mathematics ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 750
Author(s):  
Sherzod N. Tashpulatov

We model day-ahead electricity prices of the UK power market using skew generalized error distribution. This distribution allows us to take into account the features of asymmetry, heavy tails, and a peak higher than in normal or Student’s t distributions. The adequacy of the estimated volatility model is verified using various tests and criteria. A correctly specified volatility model can be used for analyzing the impact of reforms or other events. We find that, after the start of the COVID-19 pandemic, price level and volatility increased.


2013 ◽  
Vol 28 (4) ◽  
pp. 4245-4253 ◽  
Author(s):  
Chi-Keung Woo ◽  
Jay Zarnikau ◽  
Jonathan Kadish ◽  
Ira Horowitz ◽  
Jianhui Wang ◽  
...  

2021 ◽  
Author(s):  
◽  
Carl-Philipp Anke ◽  

Climate change is one of the pressing issues of our time. In order to limit global warming, the greenhouse gas emissions (GHG) need to be reduced drastically over the next decades in all sectors. A special role is played by the power sector, because it is the one responsible for most GHG emissions and because its costs for decarbonization are rather low. Consequently, national policies aim at reducing GHG emissions by supporting the expansion of renewable energy sources for electricity production (RES) and initiating a coal phase-out (CPO). European policymakers have implemented the EU Emissions Trading Scheme (EU ETS), a mechanism for pricing GHG emissions in the power and industry sector across Europe that incentives carbon mitigation. This dissertation investigates how national and European policies affect the power market and especially its GHG emissions and examines how these policies interact. This dissertation shows that RES, in addition to the short-term, well-studied, merit order effect, which reduces power wholesale prices, also have long-term effects on electricity markets. The long-term effect describes the impact that RES have on investment decisions into conventional technologies, which are reduced by over 8 GW in Germany. This indicates that the power market adapts to the expansion of RES. With regard to the GHG mitigation of RES, it is shown that currently RES contribute substantially to the mitigation of GHG emissions. Because wind power substitutes coal power, it has a significantly higher potential to avoid GHG emissions than solar power in Germany. Provided wind stays favorable in the future, this portends from a climate perspective that politics should focus on the expansion of wind. It further justifies higher support schemes for wind than solar energy. The impact of the CPO on the GHG emissions depends strongly on legal implementation. If no further actions are taken, the demand for emission decreases, because existing emitters leave the market and the price drops to 0 EUR/t. The EU ETS loses its incentive effect and the emissions are realized elsewhere since the cap remains the same and is fully exploited. Therefore, alongside the CPO, emission certificates have to be deleted in order to maintain the incentive effect of the EU ETS. Furthermore, the loss in valuation of the German coal power plants depends strongly on the time of the CPO. Given high expected emission prices and the expansion of RES, coal-fired power plants cannot be operated economically advantageously in the long-term. Therefore, no devaluation is expected if power plants are phased out in 2038 or shortly before and hence, those power plants should not receive any compensation. Additionally, this dissertation shows that the EU ETS is a strong European policy that provides sufficient incentives to meet the European climate targets in 2030 and to realize the necessary expansion of RES. However, if national RES development paths are implemented, this leads to higher overall costs but also very different profitability of RES in each country This is because countries with high ambitions regarding the expansion of RES face self-marginalization effects, which reduces the revenues for RES due to the merit order effect, and increases the level of support needed for them to expand. In contrast, countries with low RES ambitions have little or no need of support schemes but benefit from low prices in the EU ETS due to strong RES expansion in countries with high ambitions. Summarizing, this dissertation demonstrated that both national and European policy contribute to the decarbonization of the European power sector. However, the different policies interact. This can have negative impacts, which indicates that a greater harmonization of policies is necessary. Further research should develop comprehensive policy approaches and discuss possible challenges.


Proceedings ◽  
2020 ◽  
Vol 65 (1) ◽  
pp. 2
Author(s):  
Elisavet Koutsi ◽  
Sotirios Deligiannis ◽  
Georgia Athanasiadou ◽  
Dimitra Zarbouti ◽  
George Tsoulos

During the last few decades, electric vehicles (EVs) have emerged as a promising sustainable alternative to traditional fuel cars. The work presented here is carried out in the context of the Horizon 2020 project MERLON and targets the impact of EVs on electrical grid load profiles, while considering both grid-to-vehicle (G2V) and vehicle-to-grid (V2G) operation modes. Three different charging policies are considered: the uncontrolled charging, which acts as a reference scenario, and two strategies that fall under the umbrella of individual charging policies based on price incentive strategies. Electricity prices along with the EV user preferences are taken into account for both charging (G2V) and discharging (V2G) operations, allowing for more realistic scenarios to be considered.


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