Abstract: This paper presents an advanced approach to address the divergence issue encountered in the Newton-Raphson and Gauss-Seidel methods for radial system load flow calculations, while preserving ...

The development of quantum processors for practical fluid flow problems is a promising yet distant goal. Recent advances in quantum linear solvers have highlighted their potential for classical fluid ...

Abstract: Distribution network optimization is represented by non-convex power flow equations, where traditional convex relaxation methods may lead to inaccurate or infeasible solutions. To ...