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Enfoque del empleo de las redes neuronales de base radial en las redes eléctricas inteligentes en la UTM.
Author(s) -
Ney Balderramo Velez,
Lenin Cuenca Alava,
Yolanda Llosas Albuerne,
Julio Cesar Mera Macías
Publication year - 2017
Publication title -
revista de investigaciones en energía medio ambiente y tecnología riemat issn 2588-0721
Language(s) - English
Resource type - Journals
ISSN - 2588-0721
DOI - 10.33936/riemat.v2i2.1141
Subject(s) - computer science , smart grid , distributed generation , renewable energy , work (physics) , network topology , electric power transmission , artificial neural network , computational intelligence , disconnection , artificial intelligence , topology (electrical circuits) , computer network , electrical engineering , engineering , mechanical engineering , law , political science
In the presented work, an analysis of the use of artificial intelligence is proposed, as a way to solve the problems that arise in the daily work of electrical networks. By implementing the distributed generation with contributions from generating elements with the incorporation of renewable energy sources in them, as well as connection of consumer elements in different points of the network, conflicts are established regarding the transmission of electrical energy in the different scenarios. It is therefore essential to manage the direction in which energy is transmitted in the network, as well as the organized connection and disconnection of each of the elements, the creation of intelligent decision-making elements, to what is called Intelligent Electrical Network (Smart Grids). For the decision making it is proposed to use artificial intelligence techniques, and according to the experience in the work of transmission lines it has been selected to work with the topology of radial-based neural networks to undertake the different tasks regarding the intelligent decision. Index Terms— electrical networks, smart grids, distributed generation, transmission line, renewable energy

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