Design of a hybrid fuzzy classifier system for power system sensor status evaluation

Correct estimation of the system operating states in the presence of uncertain measurement data is a crucial challenge for real-time power system monitoring. Proposed in this paper is a strategy that augments state estimation methods using an approach that can incorporate additional information that is not traditionally included as a part of the state variables. Specifically, fuzzy logic is utilized to create a hybrid fuzzy classifier system (HFCS). The HFCS aims to combine information from multiple domains in order to detect, isolate, identify, and mitigate threats to the power networks. Results from applying this HFCS to the IEEE 14-bus test system are presented.