The Influence of Renewables on the German Day Ahead Electricity Prices

Adaduldah, Nabi; Dorsman, A.B.; Franx, Geert Jan; Pottuijt, Paul

doi:10.1007/978-3-642-41596-8_10

Cited by 4 publications

(3 citation statements)

References 1 publication

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“…A notable reduction in daytime peak price values in Germany and Italy is discussed to be the result of substantial expansion of the photovoltaic (PV) produced energy in these countries, according to [20]. Adaduldah et al [21] investigate the German market after triggering the energy switch in 2011, by taking into account the priority that the German policies assigns to renewables over fossil fuels in case of adequate supply. The authors report the existence of convincing evidence for the impact of RES on the emerging of negative prices on the German day-ahead market.…”

Section: Measuring the Volatility Of Daily Profilesmentioning

confidence: 99%

The evolution of electricity price on the German day-ahead market before and after the energy switch

2019

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a b s t r a c tGermany is a forerunner in developing renewable energies. It is therefore of considerable interest to investigate the impact of switch to renewables on the market during transition era. The aim of this study is in two parts: 1) Investigating the volatility; and 2) Conducting a descriptive study on the evolution of daily profiles and emergence of non-positive prices. In terms of volatility quantification, the following characteristics of EPEX prices should be recognized: 1) Covering the whole year (24/7); 2) Taking nonpositive values; 3) Depending on calendar information; and 4) Changing according to demand and supply availability. We, therefore, propose a robust and generic approach to account for diurnal or seasonal patterns of human activities in volatility analysis. An important distinction of our work is in introducing an alternative representation (as matrices) for quasi-periodic price data. We, herein, propose a new notion of volatility using a matrix decomposition technique, namely the singular value decomposition (SVD). Our observations indicate price volatility reduction, in the recent years. The second part of this article provides evidences of effect of renewables on daily price profiles e emergence of nonpositive prices and also shifts of peak price values to hours where solar is less available.

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Section: Measuring the Volatility Of Daily Profilesmentioning

confidence: 99%

The evolution of electricity price on the German day-ahead market before and after the energy switch

2019

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“…The relation of substantial expansion of photovoltaic (PV) installations in Germany and Italy with daytime peak price fall in these countries is discussed in [5]. In [6] the influence of the RES on the German day-ahead market is studied; the authors also have considered priority that the German government assigns to the green electricity over fossil fuels in case of adequate supply. This paper also argues that the emergence of negative prices in the German day-ahead market is the result of the integration of RES.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Quantifying Volatility Reduction in German Day-ahead Spot Market in the Period 2006 through 2016

Khoshrou

Pauwels

2018

2018 IEEE Power &Amp; Energy Society General Meeting (PESGM)

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In Europe, Germany is taking the lead in the switch from the conventional to renewable energy. This poses new challenges as wind and solar energy are fundamentally intermittent, weather-dependent and less predictable. It is therefore of considerable interest to investigate the evolution of price volatility in this post-transition era. There are a number of reasons, however, that makes the practical studies difficult. For instance, EPEX prices can be zero or negative. Consequently, the standard approach in financial time series analysis to switch to logarithmic measures is inapplicable. Furthermore, in contrast to the stock market prices which are only available for trading days, EPEX prices cover the whole year, including weekends and holidays. Accordingly, there is a lot of underlying variability in the data which has nothing to do with volatility, but simply reflects diurnal activity patterns. An important distinction of the present work is the application of matrix decomposition techniques, namely the singular value decomposition (SVD), for defining an alternative notion of volatility. This approach is systematically more robust toward outliers and also the diurnal patterns. Our observations show that the day-ahead market is becoming less volatile in recent years.

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“…This work also reports the benefits of the complementary nature of wind and PV resources in the UK. Continuing further with studying the influence of renewable energy sources (RES) in Germany, a preliminary study on the German day-ahead market has been carried out in [8]. In the reported work, N. Adaduldah, A. Dorsman, GJ.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

SVD-based visualisation and approximation for time series data in smart energy systems

Khoshrou

Dorsman

Pauwels

2017

2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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Abstract-Many time series in smart energy systems exhibit two different timescales. On the one hand there are patterns linked to daily human activities. On the other hand, there are relatively slow trends linked to seasonal variations. In this paper we interpret these time series as matrices, to be visualized as images. This approach has two advantages: First of all, interpreting such time series as images enables one to visually integrate across the image and makes it therefore easier to spot subtle or faint features. Second, the matrix interpretation also grants elucidation of the underlying structure using wellestablished matrix decomposition methods. We will illustrate both these aspects for data obtained from the German day-ahead market.

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The Influence of Renewables on the German Day Ahead Electricity Prices

Cited by 4 publications

References 1 publication

The evolution of electricity price on the German day-ahead market before and after the energy switch

The evolution of electricity price on the German day-ahead market before and after the energy switch

Quantifying Volatility Reduction in German Day-ahead Spot Market in the Period 2006 through 2016

SVD-based visualisation and approximation for time series data in smart energy systems

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