Ship Power System Fault Diagnosis Based On The Mechanism Of The Artificial Bee Colony Optimization

In recent years,with the development of modern ships,the scale of ship power system is become larger and larger and its structure is become more and more complex.Due to that the work environment of the ship is relative special compared with the land,when ship is in navigation process,we can not be 100% confident with each link will be in normal operation without any fault.Once the fault occurs,if the fault is not point found out timely,it will be easy to cause the spreading of fault and serious loss.Thus the higher requirements have been added to fault diagnosis of ship electric power system.This paper mainly completes the following research work:1)On the basis of the basic artificial bee colony algorithm,this paper presents global crossbar and differential evolution which are two hybrid artificial wasp colony algorithm.The global crossbar artificial bee colony algorithm is based on the crossover operation in genetic algorithm to enhance the development ability of the wasp colony algorithm and improves the search formula of the artificial bee colony algorithm.Differential evolution-bee colony algorithm uses iterative method to add the differential evolution algorithm to the searching process of artificial bee colony.The experiment results of optimizing the tested function show that the global cross artificial bee colony algorithm can accelerate the convergence speed of the algorithm,and can also enhance the searching ability in the vicinity of the global optimal solution.The differential evolution algorithm is a new search method which has a better guiding effect and can ensure the performance of the new search and it has a stronger searching ability than other algorithms.2)The artificial bee colony algorithm is applied to the fault diagnosis of ship power system.Firstly,0-1 and other numbers are used to express the running state of the equipment and establish the power system fault model,then the artificial bee colony algorithm is applied to optimize the objective function and the optimal solution set is obtained.It means the fault part has been found.The fault diagnosis results of the power system relay and circuit breaker of a certain ship show that the method in this essay can solve the problem of the fault diagnosis of the ship electric power system effectively and compared with the basic artificial bee colony algorithm and the global cross artificial bee colony algorithm,differential hybrid algorithm has the advantages of high speed and high efficiency in solving the problem of ship power system fault diagnosis.