Multiple black-start power supplies planning scheme considering partition recovery.

The number, layout and configuration of black-start power supplies will directly affect the recovery process of the power system after power outage. A scientific and reasonable black-start deployment optimization scheme can greatly accelerate the grid recovery process and reduce the duration of power outage. In this paper, based on the basic principles of power system partition recovery, we divide the power system recovery partition based on improved label propagation algorithm, which is used to guide the deployment optimization of multiple Black-start power supplies sources. Subsequently, based on the important nodes and key lines of the grid, a mathematical model of multiple black-start power supplies deployment optimization considering the shortest restoration time is established, taking into account various constraints. Finally, the traditional coyote optimization algorithm is improved by improving the coyote growth model, introducing adaptive Lévy flight and chaotic optimization perturbation mechanism, and applied to the solution of multi-Black-start power supplies deployment optimization model. The effectiveness of the proposed partition recovery method and the adaptability and superiority of the multi-black-start power distribution optimization method are compared and analyzed by arithmetic examples in Matlab simulation software. The simulation results show that the proposed multi-black start power distribution optimization method with zonal recovery can reduce the outage duration and improve the recovery efficiency. [Display omitted] In this paper, we divide the power system recovery partition based on improved label propagation algorithm and the basic principle of power system partition recovery. And then we improve the solution of traditional coyote optimization algorithm for multiple Black-start power supplies deployment optimization model by changing the coyote growth model and introducing adaptive Levy flight and chaotic optimization perturbation mechanism. [ABSTRACT FROM AUTHOR]