This paper presents the impact of weighting coefficients on the power system stability, and on the convergence rate of the steepest descent algorithm used for the design of an optimal power system ...

New algorithm effectively reduce the diffusion of detection errors and ensure the local convergence in detection process, therefore achieve rapid global convergence to a desired user and improved ...

Shi, Shen and Zhou proposed descent methods without line search in [9] and [10] , respectively. Further, Zhou presented the steepest descent algorithm without line search in [11] . Inspired by the ...

This method converges faster than the Steepest Descent for well-behaved functions, but requires computing and inverting the Hessian matrix. Key features: Utilizes the second-order Taylor expansion of ...