Comparison of methods for state prediction: Power Flow Decomposition (PFD), AC Power Transfer Distribution factors (AC-PTDFs), and Power Transfer Distribution factors (PTDFs)

Abstract

The precise prediction of changes in load flows, currents and voltage magnitudes due to changes in power is important for forecasting and managing grid congestions, voltage deviations and minimizing grid losses for example. This paper describes three different methods and further variants of those for state prediction and compares their approximations, neglects and quality of prediction. Since PTDFs and PFD modify the characteristics of the non-linear load flow equations by approximations and neglects, their qualities of prediction are less than those of the AC-PTDFs. To consider the way changings in grid losses are counteracted by the grid a new variant to consider secondary control reserve in the prediction is established. The AC-PTDFs deliver the highest quality of current and loss prediction, the most comprehensive mathematical approximation of the non-linear load flow equations, and the most potential for further development like optimized management of multiple congestions and Optimal Power Flow.