We present a stochastic modelling approach to describe the dynamics of hourly electricity prices. The suggested methodology is a stepwise combination of several mathematical operations to adequately characterize the distribution of electricity spot prices. The basic idea is to analyze day-ahead...

Due to the call for further integration of European markets and the targeted climate goals, both European electricity systems and markets have undergone continuous changes over the last few decades. As part of these developments, the so-called Flow-Based Market Coupling (FBMC) superseded the...

We develop an analytical model to derive the competitive market equilibrium for electricity spot and reserve markets under stochastic demand and uncertain renewable electricity generation. We then derive the welfare-optimal provision of reserves. At rst-best, cost of reserve capacity is balanced...

In principle, portfolio optimization in electricity markets can make use of the standard mean-variance model going back to Markowitz. Yet a key restriction in most electricity markets is the limited liquidity. Therefore the standard model has to be adapted to cope with limited liquidity. An...

Small decentralized power generation units (DG) are politically promoted because of their potential to reduce GHG-emissions and the existing dependency on fossil fuels. A long term goal of this promotion should be the creation of a level playing field for DG and conventional power generation....

Optimal capacity allocation for investments in electricity generation assets can be deterministically derived by comparing technology specific long-term and short-term marginal costs. In an uncertain market environment, Mean-Variance Portfolio (MVP) theory provides a consistent framework to...