Compliance verification methodology for renewable generation integration. Application to island power grids

261 p.

Impacts of Climate Change on European Critical Infrastructures: The Case of the Power Sector

23 p.

Multi-agent modelling for the simulation of a simple smart microgrid

The smart grid is a highly complex system that is being formed from the traditional power grid, adding new and sophisticated communication and control devices. This will enable integrating new elements for distributed power generation and also achieving an increasingly automated operation so for actions of the utilities as for customers. In order to model such systems a bottom-up method is followed, using only a few basic elements which are structured into two layers: a physical layer for the electrical power transmission, and one logical layer for element communication. A simple case study is presented to analyse the possibilities of simulation. It shows a microgrid model with dynamic load management and an integrated approach that can process both electrical and communication flows.

Adaptive variable structure control law for a variable speed wind turbine

Presentado en el 13th WSEAS International Conference on Automatic Control, Modelling and Simulation, ACMOS'11

Sliding mode control strategy for variable speed wind turbines

EFTA 2009

Effect of the A cation size disorder and synthesis conditions on the properties of an iron perovskite series

Póster presentado en The Energy and Materials Research Conference - EMR2015 celebrado en Madrid (España) entre el 25-27 de febrero de 2015

Control de frecuencia en parques eólicos.

[ES]de generación convencional basada en grandes centrales de generación térmica por lo que es necesaria la contribución de este tipo de generación en el mantenimiento de las magnitudes básicas del sistema. El objetivo del T.F.G, será analizar el impacto de la generación eólica en la frecuencia del sistema, así como las diferentes propuestas para que este tipo de generación participe en el control de frecuencia. En primer lugar se describen los aspectos técnicos de la generación eólica. A continuación se analiza el control de frecuencia y se examinan diferentes mecanismos de contribución de la generación eólica al control de frecuencia. Finalmente se realizará un ejemplo práctico mediante el programa de simulación Matlab/Simulink con objeto de analizar de forma simplificada el comportamiento de control de frecuencia en sistemas eléctricos con generación eólica.

Income risk of EU coal-fired power plants after Kyoto

Coal-fired power plants may enjoy a significant advantage relative to gas plants in terms of cheaper fuel cost. Still, this advantage may erode or even turn into disadvantage depending on CO2 emission allowance price. This price will presumably rise in both the Kyoto Protocol commitment period (2008-2012) and the first post-Kyoto years. Thus, in a carbon-constrained environment, coal plants face financial risks arising in their profit margins, which in turn hinge on their so-called "clean dark spread". These risks are further reinforced when the price of the output electricity is determined by natural gas-fired plants' marginal costs, which differ from coal plants' costs. We aim to assess the risks in coal plants' margins. We adopt parameter values estimated from empirical data. These in turn are derived from natural gas and electricity markets alongside the EU ETS market where emission allowances are traded. Monte Carlo simulation allows to compute the expected value and risk profile of coal-based electricity generation. We focus on the clean dark spread in both time periods under different future scenarios in the allowance market. Specifically, bottom 5% and 10% percentiles are derived. According to our results, certain future paths of the allowance price may impose significant risks on the clean dark spread obtained by coal plants.

An agent-based multi-scale wind generation model

(EuroPES 2009)

Effects of Climate Change on the European Nuclear Power Sector

4 p.