Optimized positioning of measurements in distribution grids

Due to a massive increase in installed generation capacities in German medium and low voltage networks the number of critical network situations resulting in thermal overloading or voltage band violations is increasing. The knowledge of the system state gains importance if smart grid technologies are to be used to ease critical network conditions. Today only basic state estimation algorithms are used in the medium voltage networks. Their results are vague as there are only few real time measurements. With only few additional measurements the state estimator's accuracy can be raised significantly. This paper presents a method for the evaluation of the measurement placement's impact on state estimation based on a stochastically approach.