Distributed agent-based State estimation for electrical distribution networks

A new agent concept for state estimation in electrical distribution networks is presented. The responsibility for state estimation is delegated to local agents in secondary substations. These use historical data and probabilistic means to assess the performance of the substation and to detect bad data. Topology and observability analysis as well as bad data identification are performed with a token that traverses the secondary substations of the primary substation feeders. The feasibility of the concept is evaluated in a case study where data from real sensor measurements are used as input. According to the study, the state estimation concept performs well.