Restricted participation in sequential markets may cause high price volatility and welfare losses. In this paper we therefore analyze the drivers of restricted participation in the German intraday auctin which is a short-term electricity market with quarter-hourly products. Applying a...

Analyzing commodity market dynamics, we observe that price volatility increases with reduced contract duration. In this paper, we derive a theoretical model depicting the price formation in two markets with altering product granularity. Supplemented by empirical evidence from German electricity...

System security in electricity markets relies crucially on the interaction between demand and supply over time. However, research on electricity markets has been mainly focusing on the supply side arguing that demand is rather inelastic. Assuming perfectly inelastic demand might lead to delusive...

In this paper, we develop a methodology for deriving a consistent measure for supply adequacy in the power generation sector. We especially consider the secured generation capacity of intermittent renewable energy sources such as wind. Availability of conventional power plants is estimated...

Uncertainty about renewable production increases the importance of sequential short-term trading. We consider a two-stage market where conventional and renewable producers compete in order to satisfy the demand of consumers. The trading in the first stage takes place under uncertainty about...

Demand response is crucial for balancing supply and demand in the presence of intermittent electricity generation, particularly during scarcity situations with high prices. In 2021/2022, wholesale power prices in Germany have been dramatically higher than ever before, which offers the...

In recent years, the installed capacities of renewable energies have steadily been increasing. This raises the question for optimal locations of renewables. Ideally, the market prices induce efficient locations. Distorting effects, i.e. non incorporation of the physical grid situations, could...

With the increasing share of volatile renewable energies, weather prediction becomes more important to electricity markets. The weather-driven uncertainty of renewable forecast errors could have price increasing impacts. This research sets up an analytic model to show that the day-ahead optimal...

Based upon probabilistic reliability metrics, we develop an optimization model to determine the efficient amount and location of firm generation capacity to achieve reliability targets in multiregional electricity systems. A particular focus lies on the representation and contribution of...

Electricity markets are increasingly influenced by variable renewable energy such as wind and solar power with a pronounced weather-induced variability and imperfect predictability. As a result, the evaluation of the capacity value of variable renewable energy, i.e. its contribution to security...