Germany 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.

, , , , ,
Renewable Energy
Data-driven monitoring, prediction and real-time control for the smart grid and its users (project C)
Intelligent and autonomous systems

Khoshrou, M., Dorsman, A., & Pauwels, E. (2019). The evolution of electricity price on the German day-ahead market before and after the energy switch. Renewable Energy, 134, 1–13. doi:10.1016/j.renene.2018.10.101