Diseño y simulación de un software de aplicación basado en algoritmos genéticos para el análisis de escenarios de encendido de pozos petroleros en situaciones de restricción eléctrica de sistemas interconectados

Abstract

This development presents a software application that can be used by oil companies in their operations, for the analysis of oil wells startup scenarios when an electrical restriction is present in the electrical power interconnected system. The developed software has a data acquisition module based on the Client-Server architecture and using the OPC standard. This allows the electrical data collection from a data monitoring, control and acquisition system SCADA and the petroleum data collection from a well monitoring system. The acquired electrical and oil data is used by two algorithms. The first, based on graphs theory and implemented in C# language is used for electrical islands identification and for computing the available power reserve. The second, based on a genetic algorithm, is implemented in C ++ programming language and it is used for finding the best scenarios of oil wells startup. For the visualization of the results a user interface has been developed under the Windows platform. This software application has been tested in a simulation environment.