Capturing Electricity Market Dynamics in Strategic Market Participation Using Neural Network Constrained Optimization

In competitive electricity markets, the optimal bid or offer problem of a strategic agent is commonly formulated as a bi-level program and solved as a mathematical program with equilibrium constraints (MPEC). If the lower-level (LL) part of the problem can be well approximated as a convex problem, this approach leads to a global optimum. However...

Gaming an Oligopoly: A Game-Theoretic Computational Modeling Approach on the Dutch Secondary Reserve Capacity Market

This thesis is written in the context of a world in which renewable energy assumes an ever growing share within the Dutch electricity sector. Given the fluctuating output of renewable energy sources, the importance of the Dutch secondary reserve capacity market is expected to increase considerably in upcoming years. Its architecture, a monopsony...