Browsing by Keyword "Power systems"
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Item Carbon-Free Electricity Generation in Spain with PV–Storage Hybrid Systems(2022-06-29) Fraile Ardanuy, Jesús; Alvaro-Hermana, Roberto; Castano-Solis, Sandra; Merino, Julia; Tecnalia Research & InnovationClimate change motivated by human activities constitutes one of the main challenges of this century. To cut carbon emissions in order to mitigate carbon’s dangerous effects, the current energy generation mix should be shifted to renewable sources. The main drawback of these technologies is their intermittency, which will require energy storage systems to be fully integrated into the generation mix, allowing them to be more controllable. In recent years, great progress to develop an effective and economically feasible energy storage systems, particularly motivated by the recent rise of demand for electric transportation, has been made. Lithium-ion (Li-ion) battery prices have fallen near 90% over the past decade, making possible the affordability of electric vehicles and transforming the economics of renewable energy. In this work, a study on storage capacity demand previously presented as conference paper is expanded, including a deep analysis of the Spanish generation mix, the evaluation of the energy storage requirements for different low-carbon and carbon-free scenarios in Mainland Spain, and the calculation of the CO2 emissions’ reduction and the associated storage costs.Item PowerDynamics.jl—An experimentally validated open-source package for the dynamical analysis of power grids(2022-01) Plietzsch, Anton; Kogler, Raphael; Auer, Sabine; Merino, Julia; Gil-de-Muro, Asier; Liße, Jan; Vogel, Christina; Hellmann, Frank; Tecnalia Research & Innovation; POWER ELECTRONICS AND SYSTEM EQUIPMENTPowerDynamics.jl is a Julia package for time-domain modeling of power grids that is specifically designed for the stability analysis of systems with high shares of renewable energies. It makes use of Julia’s state-of-the-art differential equation solvers and is highly performant even for systems with a large number of components. Further, it is compatible with Julia’s machine learning libraries and allows for the utilization of these methods for dynamical optimization and parameter fitting. The package comes with a number of predefined models for synchronous machines, transmission lines and inverter systems. However, the strict open-source approach and a macro-based user-interface also allows for an easy implementation of custom-built models which makes it especially interesting for the design and testing of new control strategies for distributed generation units. This paper presents how the modeling concept, implemented component models and fault scenarios have been experimentally tested against measurements in the microgrid lab of TECNALIA.