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Power generation in Germany is currently transitioning from a system based on large, central, thermal power plants to one that heavily relies on small, decentral, mostly renewable power generators. This development poses the question how transmission grids' reactive power demand for voltage management, covered by central power plants today, can be supplied in the future. In this work, we estimate...
The optimization and simulation of power systems continues to be an area of concern for electricity companies and researchers worldwide namely considering the development of electricity markets and competition in the generation activity Therefore generation companies are devoting an increasing attention to market issues justifying the development of models to help them preparing bidding strategies...
In recent years, several oligopolistic models of the liberalized power exchanges have been proposed, within two paradigms based upon radically different assumptions on rationality, learning and cognition: optimal choice and agent-based computational modeling. This paper is a first attempt to compare the explanatory performances of an agent-based model with a supply function equilibrium model on the...
This paper proposes an agent-based computational model of the Italian wholesale electricity market. In particular, the aim of the paper is to study how the strategic behavior of the thermal power plants can influence the level of price at a zonal and national level with respect of a typical daily load profile. The model reproduces exactly the market clearing procedure, i.e., day-ahead market (DAM)...
This paper presents a detailed electricity market model for analyzing the price development in the Italian electricity market under varying degrees of competitiveness in the market. The proposed model is more realistic than the models proposed for the Italian market by other studies, as it can be used when price elasticity of electricity demand is zero (the short term electricity demand in Italy is...
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