Research

Development of an algorithm based on neural networks for integrating electrical systems and decentralized energy sources in cities and industries.
Face of this research, control equipment will be integrated into the medium-voltage substations through standard protection networks IEC 61850 and supervised by the neural system (database) installed on servers in the IT racks within substations.
This analysis by the algorithm due to a change of power flow, load fluctuations and system voltage possible scenarios which condition the relocation of new interconnection of electrical charges by neural algorithm.
The system will be supplied with renewable energy sources connected to the electrical system. Using networks available within the cities (Winmax and Fiber Optical Metropolitan) enables neural system to divide into regions with their data encrypted order to prevent unauthorized users from stealing access.
Cameras with infrared image connected to the system will identify in advance the system failures. The pilot project has been ongoing.