Efficient selection of banks of transformers

This paper show a procedure to select the most profitable transformer banks in an specific service or in new investments with emphasis in the reduction of the operational losses, the cost in useful life, and the increase of the system efficiency using techniques of artificial intelligence. The method constitutes a tool that can be used in field conditions without invasive test and with data of easy acquisition according to the state of the art. The program was developed to analyze any type of transformers or transformer bank connection? single phase, three phase transformers or two or three transformers in symmetric or asymmetric configuration for three phase and single phase services. The economic analysis is made by the Cost of Cycle Life (CCV) of the analyzed configuration. As a case the results obtained in the gas station La Calzada of the Cienfuegos municipality is presented.