A fault reconfiguration strategy based on adjustable space operator discrete state transition algorithm for ship microgrid system

• We develop a metaheuristic optimization algorithm based on PSO and DSTA: ASODSTA. • The ASO maps candidate solutions better than the velocity factor from PSO. • ASODSTA converges faster than pure DSTA and variants of PSO in simulated scenarios. • ASODSTA is a strong candidate for practical applications because of its real-time feasibility. As an independent power supply network, when the ship ring microgrid system (SRMS) fails or is damaged, the power-loss load can be reasonably distributed to other power sources through the control switch, thereby improving the reliability of the power grid. We consider the maximum power load, minimum switching action and generator efficiency as the reconfiguration goals. In order to complete the reconfiguration quickly, we present an optimization strategy based on an adjustable space operator (ASO) and the discrete state transition algorithm (DSTA), the ASODSTA. The main idea of DSTA is to use four spatial geometric operators to find the optimal solution. The optimization is completed by combining the operators with the sigmoid function, and an ASO is proposed as the variable of the sigmoid function. The spatial distribution of the candidate solutions is more widespread through the unification of the four operators. The introduction of the sigmoid function and the ASO improves the quality of the global optimal solution and shortens the running time of the algorithm. The simulation results show that the proposed method can solve the SRMS reconfiguration problem faster and more effectively by comparing with the algorithms EO, WOA, GWO and BPSO in the references.