A fault diagnosis method for Marine shore power based on a phased analytical model

Abstract

When the fault occurs when the port ship is connected to the land power grid, the fault elements can be found quickly and accurately. After in-depth analysis and comparison of the unique improved analytic model of fault diagnosis and the traditional analytic model of Marine shore power system, combining the advantages and disadvantages of the two models, a hierarchical analytic model of Marine shore power system is established. In the first stage, the influence of circuit breakers and other components on the objective function value is analyzed. On this basis, the fault measurement index of components is established from the two aspects of protection action correlation and circuit breaker action correlation, so as to realize the rapid screening of suspicious components. In the second stage, the fault hypothesis is introduced into the suspect elements, and the diagnostic objective function reflecting the action logic error and information communication error of the protection system is established. Finally, the improved particle swarm optimization algorithm is used to solve the mathematical model of fault diagnosis. Compared with the common genetic algorithm and particle swarm optimization algorithm, the improved particle swarm optimization algorithm is not easy to fall into the local optimal solution and the convergence speed is faster. The calculation results show the rapidity of the fault diagnosis model and the accuracy of the diagnosis results