Enfoque del empleo de las redes neuronales de base radial en las redes eléctricas inteligentes en la UTM

Autor: Lenin Agustín Cuenca Alava, Ney Raul Balderramo Velez, Yolanda Llosas Albuerne, Julio Cesar Mera Macias
Jazyk: Spanish; Castilian
Rok vydání: 2017
Předmět:
Zdroj: Revista de Investigaciones en Energía, Medio Ambiente y Tecnología: RIEMAT ISSN: 2588-0721; Vol. 2 Núm. 2 (2017): Julio-Diciembre; 28-32
ISSN: 2588-0721
Popis: 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
Databáze: OpenAIRE