Critical Analysis of Faults in Operation of Energy Systems Using Fuzzy Logic

摘要

Nowadays, establishing an efficient regime of functioning for hydraulic installations represents a complex problem requiring a large amount of calculation. This paper presents a multi-criteria method using the Fuzzy logic to improve the functioning of a pumping station, by minimizing the electric energy consumption and maximizing its efficiency in critical regimes. This method supposes the minimization of the maximum flow rate pumped, by establishing an efficient time interval between the starting and stopping of the installation. It has a significant effect on the energetic efficiency during functioning. The numerical model includes the flow rate consumption correlated with its optimum parameters, by planning a proper time functioning. A new model non-deterministic is introduced, associated with a Fuzzy controller system improved with a model of inference algorithm. This model is used to reduce the consumed flow rate with the help of the linear optimization and transition from a branched network analyzed as a neural network, to an annular one. The neural network is structured on five input variables and 9 hidden layers (seven as sub-input and two as output). The schematic structure of the implemented neural network is presented associated with its main objective and improved functioning. The Fuzzy numerical model is tested with the Matlab software, using a permanent function for the input and output variables. Some of the numerical results, conclusions, and references are finally mentioned.