Research in power systems: power quality and electricity market

The research group REDES from UC3M has experience on electricity market, grid integration of wind energy and power quality. The group may offer consulting activities with a high component of research. We are looking for the collaboration of companies devoted to the consulting related to electricity markets, the integration of wind power in the electricity network, and with power quality.Contrato Programa de Comercialización e Internacionalización. Sistema Regional de Investigación Científica e Innovación Tecnológica. (Comunidad de Madrid; Universidad Carlos III de Madrid

Active filter to improve the energetic efficiency in electric installations.

The Department of Electrical Engineering of the University Carlos III of Madrid has developed a prototype of active filter to compensate the disturbances that a nonlinear load produces. The active filters appears like the dynamic solution that best fits to the needs of compensation of electrical disturbances in industrial facilities. This active filter allows correcting the power factor of the installation. With this improvement, electrical consumes are reduced, which results in significant cost savings

Power Quality in distribution power networks with photovoltaic energy sources

Solar radiation is characterized by short fluctuations introduced by passing clouds. These solar fluctuations will produce Voltage and power fluctuations at the PCC (Point of common coupling). Flicker level should be evaluated by using a flickermeter according to the standard IEC 61000-4-15. Models of the solar fluctuation, photovoltaic modules and power converter are shown in this paper and the flickermeter model is tested according to the IEC requirements and the CIGRE/CIRED/UIE test protocol.This research has been partially supported by the Spanish Ministry of Education and Science under contracts ENE2006- 28503 and ENE2008-06504-C02-01.Publicad

Filtro activo para la mejora de la eficiencia energética en instalaciones eléctricas

El Dpto. de Energía Eléctrica de la Universidad Carlos III de Madrid ha diseñado un prototipo de filtro activo para compensar las perturbaciones que produce en la señal una carga no lineal. Los filtros activos se presentan como la solución dinámica que más se ajusta a las necesidades de compensación de perturbaciones eléctricas en instalaciones industriales. Este filtro activo permite corregir el factor de potencia de la instalación, al estar la señal de tensión y de corriente en fase. Con esta mejora, la facturación eléctrica se reduce, consiguiéndose un significativo ahorro económico

Investigación en sistemas eléctricos: calidad suministro y mercados eléctricos

El grupo Redes y Sistemas de Energía Eléctrica de la UC3M ofrece su experiencia en I+D sobre mercados eléctricos, integración en red de energía eólica y calidad de suministro. El grupo ofrece labores de consultoría en estos campos, aunque también puede desarrollar productos a medida. Los productos ofrecidos tienen una alta componente investigadora. Buscamos la colaboración de empresas dedicadas a consultoría relativa a mercado de energía eléctrica, la integración desde una perspectiva técnica y económica de los sistemas eólicos en la red eléctrica nacional y con la calidad del suministro eléctrico

Co-simulation platform for interconnected power systems and communication networks based on PSS/E and OMNeT++

This paper proposes a co-simulator that combines OMNeT++ for communication systems with PSS/E for the electrical transmission network. The cosimulator applies an event-driven synchronization method that minimizes errors due to delays in the synchronization between both simulators. The synchronization method pauses the simulation of the power system at each communication event, while a supervisory module in PSS/E returns control to the event simulator if any condition from a pre-specified set is met. The proposed co-simulator is demonstrated on a protection system based on peer-to-peer communication and used to evaluate the effect of communication latency times on an online state estimator.This work was supported by the Spanish Agencia Estatal de Investigacion under grant PID2019-104449RB-I0

A fast data-driven topology identification method for dynamic state estimation applications

This paper proposes a fast topology identification method to avoid estimation errors caused by network topology changes. The algorithm applies a deep neural network to determine the switching state of the branches that are relevant for the execution of a dynamic state estimator. The proposed technique only requires data from the phasor measurement units (PMUs) that are used by the dynamic state estimator. The proposed methodology is demonstrated working in conjunction with a frequency divider-based synchronous machine rotor speed estimator. A centralized and a decentralized approach are proposed using a modified version of the New England test system and the Institute of Electrical and Electronics Engineers (IEEE) 118-bus test system, respectively. The numerical results in both test systems show that the method demonstrate the reliability and the low computational burden of the proposed algorithm. The method achieves a satisfactory speed, the decentralized approach simplifies the training process and the algorithm proves to be robust in the face of wrong input data.This work was funded by Agencia Estatal de Investigación MCIN/AEI/10.13039/501100011033 under Grant PID2019-104449RB-I00

A Deep Neural Network Approach for Online Topology Identification in State Estimation

This paper introduces a network topology identification (TI) method based on deep neural networks (DNNs) for online applications. The proposed TI DNN utilizes the set of measurements used for state estimation to predict the actual network topology and offers low computational times along with high accuracy under a wide variety of testing scenarios. The training process of the TI DNN is duly discussed, and several deep learning heuristics that may be useful for similar implementations are provided. Simulations on the IEEE 14-bus and IEEE 39-bus test systems are reported to demonstrate the effectiveness and the small computational cost of the proposed methodology.This work was supported by the Spanish Ministry of Innovation under Grant PID2019-104449RB-I00. Paper no. TPWRS-01989-2020.Publicad

Frequency domain modelling of random wound motor windings for insulation stress analysis

The use of conventional low voltage induction motors fed by pulse width modulated (PWM) inverters has begun to present important problems. These waveforms consist of steep-fronted pulses having very short rise times (about 100 ns in modern IGBT bridges) and high frequency repetition rates (up to 20 kHz) whose immediate consequences are additional electrical stresses in an induction motorrsquos insulation system. In this paper a frequency domain model for the analysis and characterization of the internal voltage distribution in random wound coils is presented. The model allows voltage prediction in time domain when an inverse fast Fourier transform (FFT) transformation is performed, and requires only a few frequency domain impedance measurements. This methodology will be useful for accurately predicting the voltage distribution in motor windings during the design stage, and reducing the risk of premature failure in motor insulation. Experimental and theoretical results are presented and compared and model effectiveness using different approximations is studied.This research has been suported by the Spanish Science and Technology Ministry under contract MAT 2002 03210, and the Madrid Regional Government under the Initiative for Regional R&D Laboratoy Network

Combined vehicle to building (V2B) and vehicle to home (V2H) strategy to increase electric vehicle market share

Buildings are one of the most important energy consumers in modern economy countries. The massive use of electrical vehicles could help decarbonizing the economy by using electricity produced using renewable energy. Combined use of Vehicle to Grid (V2G), Vehicle to Home (V2H) and Vehicle to Building (V2B) is one of the strategies to increase the number of electrical vehicles, ensure a better coupling between energy generation and consumption, reducing peak demand and increasing global energy efficiency. This research presents a novel approach of combined use of V2H and V2B that can be applied in different scenarios such as when the building workers own EVs, company shared car fleets or leasing, among others. Recharged energy at workers homes during night hours is delivered in the building during daily working hours lowering peak demand, reducing carbon intensity and energy cost savings. The results show that the methodology is feasible and can be extended to other cases and greatly contribute to better energy efficiency, reduces peak demand in buildings and increase electric vehicles penetration in transport to workplaces