This paper proposes the use of hypothesis testing for topology error identification based on normalized Lagrange multipliers. The main objective is to avoid state re-estimations that would be otherwise required for each possible set of suspect breaker statuses. The hypotheses are defined in terms of the set of circuit breakers whose statuses are under suspicion. The proposed hypothesis testing procedure relies on Bayes' theorem to compute the conditional probabilities for the hypotheses, which are then used to identify the correct network topology.
Identification of topology errors in power networks; power system state estimation; power system real time modeling
