Análisis del método de control de voltaje “Droop Control” en una micro-red DC para el control de potencia activa y distribución de carga entre diferentes fuentes de generación, usando conversores de potencia

Las micro-redes han tenido gran aceptación durante los últimos años. Debido a sus características estas permiten tener sistemas con mejor confiabilidad, son capaces de reducir las pérdidas por transmisión, perfeccionan el uso de energía eléctrica renovable. Entre las principales funciones de desempeño de una micro-red, en el ámbito del comercio es manejar perfiles de voltaje adecuados a fin de no afectar al consumidor final, los niveles óptimos de funcionamiento en este modelo son de 0.38kV y 10kV las cuales son afectadas ante un aumento de carga provocando caídas de tensión menores al 1 p.u, la alternativa planteada para mejorar los perfiles del voltaje afectados en una micro-red es la aplicación de la técnica control droop la cual se basa en la configuración de potencia activa y reactiva respecto al voltaje y frecuencia e intercambiado corriente entre los convertidores de potencia manteniendo los perfiles de voltaje estables, la implantación de este control es el sistema de distribución “IEEE AMERICAN LATINA” de 10 nodos, el cual se sujeta a diversos escenarios para comprobar su validez.Micro-grids have been widely accepted in recent years, due to their characteristics they allow to have systems with better reliability while being able of reducing transmission losses and they improve the use of renewable electrical energy. One of the main performance functions of a micro-network is found in the field of trade where adequate voltage profiles are managed to avoid affecting the end-user, the optimum levels of operation in this model are 0.38kV and 10kV which are affected by an increase in load causing voltage drops less than 1 pu, the alternative proposed to improve the affected voltage profiles in a micro-network is the application of the droop control technique, This is based on the configuration of active and reactive power with respect to voltage and frequency and exchanging current between the power converters, keeping the voltage profiles stable. The implementation of this control is the 10-node "IEEE AMERICAN LATINA" distribution system, which is subject to various scenarios to check its validity

Renewable Energies for Sustainable Development

In the current scenario in which climate change dominates our lives and in which we all need to combat and drastically reduce the emission of greenhouse gases, renewable energies play key roles as present and future energy sources. Renewable energies vary across a wide range, and therefore, there are related studies for each type of energy. This Special Issue is composed of studies integrating the latest research innovations and knowledge focused on all types of renewable energy: onshore and offshore wind, photovoltaic, solar, biomass, geothermal, waves, tides, hydro, etc. Authors were invited submit review and research papers focused on energy resource estimation, all types of TRL converters, civil infrastructure, electrical connection, environmental studies, licensing and development of facilities, construction, operation and maintenance, mechanical and structural analysis, new materials for these facilities, etc. Analyses of a combination of several renewable energies as well as storage systems to progress the development of these sustainable energies were welcomed

Using MapReduce Streaming for Distributed Life Simulation on the Cloud

Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design optimized MR streaming algorithms for discrete and continuous versions of Conway’s life according to a general MR streaming pattern. We chose life because it is simple enough as a testbed for MR’s applicability to a-life simulations and general enough to make our results applicable to various lattice-based a-life models. We implement and empirically evaluate our algorithms’ performance on Amazon’s Elastic MR cloud. Our experiments demonstrate that a single MR optimization technique called strip partitioning can reduce the execution time of continuous life simulations by 64%. To the best of our knowledge, we are the first to propose and evaluate MR streaming algorithms for lattice-based simulations. Our algorithms can serve as prototypes in the development of novel MR simulation algorithms for large-scale lattice-based a-life models.https://digitalcommons.chapman.edu/scs_books/1014/thumbnail.jp