Abstract
The fault reconstruction of ship medium voltage direct current(MVDC) power system is essentially a multi-objective multi-constrained nonlinear combinatorial optimization problem. A multi-objective fault reconstruction model of the MVDC power system of a ship is established with load recovery amount, number of switching operations and generator equalization efficiency as the objective functions for the ship's MVDC power system faults. A simulated annealing binary particle swarm algorithm is proposed to solve the fault location and reconstruction problem of the ship MVDC power system, and the adaptive weight method is introduced to balance the global search capability; the roulette selection method is introduced to optimize the selection of the adaptation degree value. The results of the test cases show that the proposed method has a high search effect and optimal search capability, and can obtain the reconfiguration scheme of the ship MVDC power system in a short time, which reflects a good optimization performance.
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