Probabilistic approximation of voltage values for power distribution network with large number of nodes and solar generation

We study the problem of state estimating in the networks with distributed generation. Traditional state estimation methods provide the expected value of the estimated parameters. We consider the parameters of the system as random variables and study probability that voltage magnitudes belong to admissible set of values. We show that for large number of nodes we can apply central limit theorem and approximate the sought probability.