Flujo de cargas óptimo para redes de baja tensión desequilibradas

Este documento se centra en el uso de la funcionalidad de control total de la potencia de los inversores, es decir, su capacidad de suministrar corrientes tanto de secuencia negativa como cero para mitigar los desequilibrios, pero desde el punto de vista de las compañias de distribución. Esta perspectiva implica incluir toda la red de baja tensión en el problema de optimización que intenta equilibrar el sistema al completo. En la literatura que se ha revisado, este problema nunca se ha planteado ni resuelto previamente. Este punto de vista muestra a la empresa una nueva perspectiva atractiva en relación con los generadores distribuidos, BESS y EV, ya que estas tecnologías no se convierten en una desventaja, sino en una oportunidad para mejorar todo el sistema.Universidad de Sevilla. Máster Universitario en Sistemas de Energía Eléctric

Improving the Performance of Low Voltage Networks by an Optimized Unbalance Operation of Three-Phase Distributed Generators

This work focuses on using the full potential of PV inverters in order to improve the efficiency of low voltage networks. More specifically, the independent per-phase control capability of PV three-phase four-wire inverters, which are able to inject different active and reactive powers in each phase, in order to reduce the system phase unbalance is considered. This new operational procedure is analyzed by raising an optimization problem which uses a very accurate modelling of European low voltage networks. The paper includes a comprehensive quantitative comparison of the proposed strategy with two state-of-the-art methodologies to highlight the obtained benefits. The achieved results evidence that the proposed independent per-phase control of three-phase PV inverters improves considerably the network performance contributing to increase the penetration of renewable energy sources.Ministerio de Economía y Competitividad ENE2017-84813-R, ENE2014-54115-

A novel ensemble method for electric vehicle power consumption forecasting: Application to the Spanish system

The use of electric vehicle across the world has become one of the most challenging issues for environmental policies. The galloping climate change and the expected running out of fossil fuels turns the use of such non-polluting cars into a priority for most developed countries. However, such a use has led to major concerns to power companies, since they must adapt their generation to a new scenario, in which electric vehicles will dramatically modify the curve of generation. In this paper, a novel approach based on ensemble learning is proposed. In particular, ARIMA, GARCH and PSF algorithms' performances are used to forecast the electric vehicle power consumption in Spain. It is worth noting that the studied time series of consumption is non-stationary and adds difficulties to the forecasting process. Thus, an ensemble is proposed by dynamically weighting all algorithms over time. The proposal presented has been implemented for a real case, in particular, at the Spanish Control Centre for the Electric Vehicle. The performance of the approach is assessed by means of WAPE, showing robust and promising results for this research field.Ministerio de Economía y Competitividad Proyectos ENE2016-77650-R, PCIN-2015-04 y TIN2017-88209-C2-R

Population Dynamics P Systems on CUDA

Population Dynamics P systems (PDP systems, in short) provide a new formal bio-inspired modeling framework, which has been successfully used by ecologists. These models are validated using software tools against actual measurements. The goal is to use P systems simulations to adopt a priori management strategies for real ecosystems. Software for PDP systems is still in an early stage. The simulation of PDP systems is both computationally and data intensive for large models. Therefore, the development of efficient simulators is needed for this field. In this paper, we introduce a novel simulator for PDP systems accelerated by the use of the computational power of GPUs. We discuss the implementation of each part of the simulator, and show how to achieve up to a 7x speedup on a NVIDA Tesla C1060 compared to an optimized multicore version on a Intel 4-core i5 Xeon for large systems. Other results and testing methodologies are also included.Ministerio de Ciencia e Innovación TIN2009–13192Junta de Andalucía P08-TIC-0420

State estimation in MV distribution networks: experience in the Spanish smart grid project PRICE-GDI

CIGRE 2016, ParísThis paper shows a practical implementation of a state estimator for distribution systems in the context of the Spanish pilot project PRICE-GDI. The objective of this pilot project has been to develop a set of key technologies enabling the massive integration of renewable generation in distribution systems. Undoubtedly, dispatch centres involving advanced algorithm such as distribution state estimators and volt/var controllers are necessary for this challenge. This paper has analysed the implementation of a state estimator taken into account all the specific characteristics of the distribution systems: large proportion of injections in the measurement set, long and short lines coming to the same bus, presence of current flow measurements to the detriment of power flows, high R/X ratios and, mainly, reduced number of on-line measurements. As a matter of fact, this last issue is the responsible of the lack of observability of the system being necessary to incorporate to the classical estimation algorithm a load allocation procedure providing a number of pseudomeasurements. This paper proposes to use a methodology using Daily Load Curves (DLCs) to allocate the load of the Distribution Transformers (DTs) which obtain better results that the ones obtained using a classical procedure resorting on the contracted power of DTs. The paper is structured as follows. First, the introduction gives some information of the Spanish pilot project PRICE-GDI and the motivation of the paper. Then, a brief explanation of the state estimation algorithm specially intended for MV distribution networks follows. After that,the DMS architecture and how the algorithm has been integrated are described followed by a description of the feeder that has been used to test the algorithm and the main obtained results. Finally, the paper closes with the main conclusions.Ministerio de Economía y Competitividad PRICE-GDI (IPT-2011-1501-9)Ministerio de Economía y Competitividad (ENE2014-54115-R