scholarly journals Short-term dynamics of day-ahead and intraday electricity prices

2017 ◽  
Vol 11 (4) ◽  
pp. 557-573 ◽  
Author(s):  
Georg Wolff ◽  
Stefan Feuerriegel
Keyword(s):  
Electricity Markets ◽  
Electricity Market ◽  
Renewable Energy Sources ◽  
Policy Implications ◽  
The European Union ◽  
Electricity Prices ◽  
Short Term ◽  
Content Type ◽  
Major Interest ◽  
Intraday Market

Purpose Since the liberalization of electricity markets in the European Union, prices are subject to market dynamics. Hence, understanding the short-term drivers of electricity prices is of major interest to electricity companies and policymakers. Accordingly, this paper aims to study movements of prices in the combined German and Austrian electricity market. Design/methodology/approach This paper estimates an autoregressive model with exogenous variables (ARX) in a two-step procedure. In the first step, both time series, which inherently feature seasonality, are de-seasonalized, and in the second step, the influence of all model variables on the two dependent variables, i.e. the day-ahead and intraday European Power Energy Exchange prices, is measured. Findings The results reveal that the short-term market is largely driven by seasonality, consumer demand and short-term feed-ins from renewable energy sources. As a contribution to the existing body of literature, this paper specifically compares the price movements in day-ahead and intraday markets. In intraday markets, the influences of renewable energies are much stronger than in day-ahead markets, i.e. by 24.12 per cent for wind and 116.82 per cent for solar infeeds. Originality/value Knowledge on the price setting mechanism in the intraday market is particularly scarce. This paper contributes to existing research on this topic by deriving drivers in the intraday market and then contrasting them to the day-ahead market. A more thorough understanding is especially crucial for all stakeholders, who can use this knowledge to optimize their bidding strategies. Furthermore, the findings suggest policy implications for a more stable and efficient electricity market.

scholarly journals Electricity Markets during the Liberalization: The Case of a European Union Country

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4317
Author(s):  
Štefan Bojnec ◽  
Alan Križaj
Keyword(s):  
Electricity Markets ◽  
Electricity Market ◽  
Renewable Energy Sources ◽  
Primary Energy ◽  
Lessons Learned ◽  
Policy Implications ◽  
Daily Maximum ◽  
Energy Prices ◽  
Electricity Prices ◽  
Electricity Power

This paper analyzes electricity markets in Slovenia during the specific period of market deregulation and price liberalization. The drivers of electricity prices and electricity consumption are investigated. The Slovenian electricity markets are analyzed in relation with the European Energy Exchange (EEX) market. Associations between electricity prices on the one hand, and primary energy prices, variation in air temperature, daily maximum electricity power, and cross-border grid prices on the other hand, are analyzed separately for industrial and household consumers. Monthly data are used in a regression analysis during the period of Slovenia’s electricity market deregulation and price liberalization. Empirical results show that electricity prices achieved in the EEX market were significantly associated with primary energy prices. In Slovenia, the prices for daily maximum electricity power were significantly associated with electricity prices achieved on the EEX market. The increases in electricity prices for households, however, cannot be explained with developments in electricity prices on the EEX market. As the period analyzed is the stage of market deregulation and price liberalization, this can have important policy implications for the countries that still have regulated and monopolized electricity markets. Opening the electricity markets is expected to increase competition and reduce pressures for electricity price increases. However, the experiences and lessons learned among the countries following market deregulation and price liberalization are mixed. For industry, electricity prices affect cost competitiveness, while for households, electricity prices, through expenses, affect their welfare. A competitive and efficient electricity market should balance between suppliers’ and consumers’ market interests. With greening the energy markets and the development of the CO2 emission trading market, it is also important to encourage use of renewable energy sources.

scholarly journals Considerations Regarding the Negative Prices on the Electricity Market

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 26
Author(s):  
Pavel Atănăsoae ◽  
Radu Dumitru Pentiuc ◽  
Eugen Hopulele
Keyword(s):  
Renewable Energy ◽  
Electricity Markets ◽  
Electricity Market ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Electricity Prices ◽  
Market Areas ◽  
The Impact ◽  
Market Coupling

Increasing of intermittent production from renewable energy sources significantly affects the distribution of electricity prices. In this paper, we analyze the impact of renewable energy sources on the formation of electricity prices on the Day-Ahead Market (DAM). The case of the 4M Market Coupling Project is analyzed: Czech-Slovak-Hungarian-Romanian market areas. As a result of the coupling of electricity markets and the increasing share of renewable energy sources, different situations have been identified in which prices are very volatile.

scholarly journals Forecasting Short-term Wholesale Prices on the Irish Single Electricity Market

2018 ◽  
Vol 8 (6) ◽  
pp. 4060
Author(s):  
Francesco Arci ◽  
Jane Reilly ◽  
Pengfei Li ◽  
Kevin Curran ◽  
Ammar Belatreche
Keyword(s):  
Electricity Markets ◽  
Electricity Market ◽  
Electricity Generation ◽  
Informed Trading ◽  
Electricity Prices ◽  
Customer Demand ◽  
Short Term ◽  
Market Participants ◽  
Energy Demands ◽  
Trading Decisions

Electricity markets are different from other markets as electricity generation cannot be easily stored in substantial amounts and to avoid blackouts, the generation of electricity must be balanced with customer demand for it on a second-by-second basis. Customers tend to rely on electricity for day-to-day living and cannot replace it easily so when electricity prices increase, customer demand generally does not reduce significantly in the short-term. As electricity generation and customer demand must be matched perfectly second-by-second, and because generation cannot be stored to a considerable extent, cost bids from generators must be balanced with demand estimates in advance of real-time. This paper outlines a a forecasting algorithm built on artificial neural networks to predict short-term wholesale prices on the Irish Single Electricity Market so that market participants can make more informed trading decisions. Research studies have demonstrated that an adaptive or self-adaptive approach to forecasting would appear more suited to the task of predicting energy demands in territory such as Ireland. We have identified the features that such a model demands and outline it here.

Analyzing the impact of fossil fuel import reliance on electricity prices: The case of the Iberian Electricity Market

2017 ◽  
Vol 28 (7) ◽  
pp. 687-705 ◽  
Author(s):  
Blanca Moreno ◽  
María T García-Álvarez
Keyword(s):  
Carbon Dioxide ◽  
Electricity Market ◽  
Fossil Fuel ◽  
Carbon Dioxide Emission ◽  
High Energy ◽  
Electricity Production ◽  
The European Union ◽  
Electricity Prices ◽  
The Impact ◽  
The Eu

Spain and Portugal are highly dependent on energy from abroad, importing more than 70% of all the energy they consume. This high energy dependence could involve important effects on the level and stability of their electricity prices as a half the gross electricity generated in both countries came from power stations using imported combustible fuels (such as natural gas, coal and oil). In general, changes in the prices of these fossil fuels can directly affect household electricity prices, since generation costs are likely to be transmitted through to the wholesale electricity market. Moreover, in the framework of the European Union Emission Trading System, electricity production technologies tend to incorporate their costs of carbon dioxide emission allowances in sale offers with the consequent increase of the electricity prices. The objective of this paper is to analyze the influence of fossil fuel costs and prices of carbon dioxide emission allowances in the EU on the Spanish and Portuguese electricity prices. With this aim, a maximum entropy econometric approach is used. The obtained results indicate that not only the price of imported gas are very important in explaining Spanish and Portuguese electricity prices but also the price of carbon dioxide emission allowances in the EU.

The integrated assessment of RES cooperation between the EU and its neighbours

2016 ◽  
Vol 10 (3) ◽  
pp. 427-447 ◽  
Author(s):  
Marijke Welisch ◽  
Gustav Resch ◽  
André Ortner
Keyword(s):  
Renewable Energy ◽  
North Africa ◽  
Renewable Energy Sources ◽  
The European Union ◽  
Western Balkans ◽  
Member States ◽  
Content Type ◽  
Eu Member States ◽  
Good Resource ◽  
The Eu

Purpose The purpose of the paper is to provide estimation results for feasibility of renewable energy source (RES) deployment in Turkey, the Western Balkans and North Africa. From these results, the potential for cooperation in renewables production between the countries and the European Union (EU) is assessed and evaluated, in a mid- (2030) and long-term (up to 2040) perspective. Design/methodology/approach The authors focus on the quantitative assessments undertaken on the extent to which RES cooperation can create mutual benefits, identifying costs and benefits for both sides, but in particular with respect to RES target achievement (2020 and 2030) at EU level. The potentials for RES generation in Turkey, North Africa and the Western Balkans are calculated under different policy pathways, taking into account different levels of economic and non-economic barriers that could occur. Findings Overall, the authors found that increasing RES deployment in the three analysed regions and initiating or intensifying cooperation with EU28 Member States leads to mutual benefits. Concretely, these benefits become apparent in terms of the EU Member States importing renewable energy sources for electricity with a good resource quality and adding on to their targets for RES deployment. At the same time, substantial savings occur for the EU, in turn leading to income and investments in the cooperating regions. Originality/value The assessment underlying this paper is the first of its kind to the authors’ knowledge that opens up the geographical spread in comparison to merely assessing cooperation between Europe and the Middle East and North Africa. Furthermore, the multitude of policy parameters analysed provides detailed and robust insights concerning a broad variety of different possible scenarios.

scholarly journals Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3310 ◽  
Author(s):  
Ignacio Blanco ◽  
Daniela Guericke ◽  
Anders Andersen ◽  
Henrik Madsen
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power System ◽  
Electricity Markets ◽  
Electricity Market ◽  
Renewable Energy Sources ◽  
District Heating ◽  
Operational Planning ◽  
Solution Approach ◽  
The Impact

In countries with an extended use of district heating (DH), the integrated operation of DH and power systems can increase the flexibility of the power system, achieving a higher integration of renewable energy sources (RES). DH operators can not only provide flexibility to the power system by acting on the electricity market, but also profit from the situation to lower the overall system cost. However, the operational planning and bidding includes several uncertain components at the time of planning: electricity prices as well as heat and power production from RES. In this publication, we propose a planning method based on stochastic programming that supports DH operators by scheduling the production and creating bids for the day-ahead and balancing electricity markets. We apply our solution approach to a real case study in Denmark and perform an extensive analysis of the production and trading behavior of the DH system. The analysis provides insights on system costs, how DH system can provide regulating power, and the impact of RES on the planning.

Renewable energy cooperation between the EU and North Africa

2016 ◽  
Vol 10 (3) ◽  
pp. 312-336 ◽  
Author(s):  
Andreas Beneking ◽  
Saskia Ellenbeck ◽  
Antonella Battaglini
Keyword(s):  
Renewable Energy ◽  
North Africa ◽  
Swot Analysis ◽  
Renewable Energy Sources ◽  
Qualitative Assessment ◽  
The European Union ◽  
Content Type ◽  
Joint Project ◽  
Article 9 ◽  
The Eu

Purpose Following the issuance of the Renewable Energy Directive in 2009, the European Union (EU) is explicitly pushing for member states to cooperate with third countries to meet their EU 2020 targets. So far, no single joint project is planned or in place yet. This paper aims to look at the opportunities for and barriers to possible RE exports from North Africa into the EU through the concept of a SWOT (strengths, weaknesses, opportunities and threats) analysis. Design/methodology/approach Thus, the SWOT for a possible implementation of Article 9 projects are analyzed using expert and stakeholder knowledge. A qualitative assessment was undertaken using data collected through one stakeholder workshop in North Africa, in-depth interviews and a qualitative literature review. The analysis was structured within a three-tier analyzing concept distinguishing between macro, micro and acceptance parameters. Findings From the SWOT analysis, some lessons are drawn, future possible measures are identified and conclusions for policymakers are discussed. The authors find that no easy solutions exist as most parameters can be both a strength and a weakness or a threat and an opportunity at the same time depending on future developments and the specific ideological perspective. Originality/value This paper provides new information and analysis of renewable energy sources projects in North Africa – application of the SWOT method on Article 9 cooperation projects – application of a three-tier analysis to cope with the complexity of the topic – taking into account often neglected socio-political aspects such as public acceptance.

Measuring the Benefits of Greater Spatial Granularity in Short-Term Pricing in Wholesale Electricity Markets

2011 ◽  
Vol 101 (3) ◽  
pp. 247-252 ◽  
Author(s):  
Frank A Wolak
Keyword(s):  
Natural Gas ◽  
Electricity Markets ◽  
Electricity Market ◽  
Short Term ◽  
Locational Marginal Pricing ◽  
Marginal Pricing ◽  
Before And After ◽  
Natural Gas Prices ◽  
The Impact ◽  
Generation Unit

Hourly generation unit-level output levels, detailed information on the technological characteristics of generation units, and daily delivered natural gas prices to all generation units for the California wholesale electricity market before and after the implementation of locational marginal pricing are used to measure the impact of introducing greater spatial granularity in short-term energy pricing. The average hourly number of generation unit starts increases, but both the total hourly energy consumed and total hourly operating costs for all natural gas-fired generation units fall by more than 2 percent after the implementation of locational marginal pricing.

scholarly journals Factors of impact on the evolution of electricity markets from renewable energy sources: a comparison between Romania and Germany

2015 ◽  
Vol 10 (1) ◽  
pp. 34-52 ◽  
Author(s):  
Roxana Clodnițchi ◽  
Alexandra Cătălina Chinie
Keyword(s):  
Renewable Energy ◽  
Electricity Markets ◽  
Alternative Energy ◽  
Renewable Energy Sources ◽  
Business Community ◽  
Energy Sources ◽  
Future Market ◽  
The European Union ◽  
Renewable Sources ◽  
Alternative Energy Sources

Abstract When talking about the future of Europe we also think about alternative energy sources. It is up to national governments to decide how to encourage investments in this field in order to contribute to the 20-20-20 EU-objective. Until the network delivery cost for electricity produced from renewable sources will be comparable to the cost for energy from traditional sources ("grid parity"), the development of businesses and markets for electricity from renewable sources is going to be driven by support schemes. The state of the grids and the facility of grid-access constitute another two key factors influencing the development of this sector. Last but not least, the question of policy consistency is raised within the business community. Over the past years some support schemes have proved to be more effective than others, and grid conditions have also evolved. Policies supporting the development of renewables also changed at EU-level and at national levels. Based on statistics, scientific literature and the feedback of the business community, this study aims to analyse the development of renewable energy sectors in the European Union by comparing Germany’s and Romania’s experience. Also this study describes the current and expected future market situation in these countries relying on data gained from questionnaires and interviews with specialists in the renewable field.

scholarly journals Mix-generation optimization for electricity market simulation

2020 ◽  
Vol XXIII (1) ◽  
pp. 180-185
Author(s):  
Adela Bâra
Keyword(s):  
Renewable Energy ◽  
Electricity Markets ◽  
Electricity Market ◽  
Renewable Energy Sources ◽  
Primary Energy ◽  
Energy Sources ◽  
Market Strategy ◽  
Bilateral Contracts ◽  
And Performance ◽  
Operation Schedule

Owning several types of generating units requires an optimized schedule to cover the negotiated bilateral contracts. This approach will lead to a better electricity market strategy and benefits for an electricity producer. In this paper, we will simulate the operation of five different generators including generators based on Renewable Energy Sources (such as wind turbines and photovoltaic panels) that belong to an electricity producer. The five generators are modelled considering the specificity of their type and primary energy source. For instance, for renewable energy sources, we will consider the 24-hour generation forecast. The objective function of the optimization process is to obtain an optimal loading of generators, while the constraints are related to the capacity and performance of the generators. The output consisting in a generating unit optimized operation schedule will be further used for day-ahead or balancing market bidding process. Hence, the producer will be able to adequately bid on the future electricity markets knowing the commitment of generators for negotiated bilateral contracts market. The simulations are tested for more than five generators considering the connection to a relational database where more data for generators is stored.

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