Grupo ISIS

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Electrical Networks Management

Description

The research group's work in this area has two major lines: application of computational intelligence techniques to power systems, and the use of new technologies for the development of intelligent electronic devices for the remote monitorization and control of power system. In the field of application of computational intelligence techniques have been developed several applications based on ANN (Artificial Neural Networks) for predicting electric energy demand, for the evaluation and monitoring of contingencies, and to estimate the topology of the power network to improve the results of state estimation algorithms. On the other hand, the group is developing algorithms and devices that make use of the latest communication and information processing technologies for application to distribution networks (electricity, water, gas, etc.), enabling future efficient and sustainable use of resources. This area include the development of algorithms for graphical representation of the state of the network using topological colors, use of wireless technologies for network monitoring, and implementation of intelligent devices for remote control of the power network.

Members

• Joya Caparrós, Gonzalo
• García Lagos, Francisco
• Sandoval Hernández, Francisco

Publications

• Uncertainties analysis of a spectral analysis method based on ANN by means of Monte Carlo
• Study of Keysight 3458A Temperature Coefficient for different Aperture times in DCV Sampling Mode
• Aplicación de las redes neuronales al análisis espectral de señales muestreadas asíncronamente
• Monte Carlo uncertainty analysis of an ANN-based spectral analysis method
• Characterization of an analog to digital converter frequency response by a Josephson Arbitrary Waveform Synthesizer

Projects

• A digital traceability chain for ac voltage and current
• Índice Ciudad y Energía
• Apoyo tecnológico para el proyecto SMART CITY: Conectar de forma inteligente
• Investigación en topologías de redes inalámbricas de sensores en el marco del proyecto S2G Subestaciones para una Smart Grid
• Desarrollo de un sistema de medida para caracterización de generadores de señal en potencia eléctrica