Research on fault reconstruction algorithm of electric shipboard power system

In order to better analyse and solve the problem of network fault reconstruction of China's naval power system, this paper establishes a network fault reconstruction model of ship power system with load loss and switching operation times as multi-objective optimization, and also proposes a new improved grey wolf optimization algorithm to solve it. The basic multi-objective grey wolf optimisation algorithm is improved by using Tent chaos initialisation, grey wolf individual discretization, adjustment of convergence factors. The algorithm can effectively enhance its convergence rate and speed after some improvements, and can overcome the problems of slow convergence speed, poor diversity of initialization population and easy to fall into local optimality in the traditional grey wolf optimisation algorithm. The example of network fault reconfiguration of shipboard power system shows that this method can obtain better system reconfiguration scheme, and has better optimal performance, which can better ensure the safe and stable operation of shipboard.