Optimization of Power Flow Computation Methods

Power flow computations are a cornerstone of many simulations regarding the electric grid. This thesis evaluates the landscape of power flow computation methods with a focus on practical computational performance in large-scale simulations as they occur in modern distribution grid planning. The investigation involves various model assumptions different algorithms implementation details and unconventional computational optimization methods. As a result the implementations devised in this thesis are up to a thousand times faster for large scale grid simulations than established solutions.