Derivation of power system plant and network operational information from existing process data using novel interpretation techniques

Modern artificial intelligence and signal processing techniques provide significant potential for deriving useful information about the state of the power system based upon an analysis of existing measurement and telemetry data. Additionally, the advent of integrated and coordinated substation monitoring, control and protection systems coupled with the gradual emergence of (and utility requirements for) “open”, nonproprietary communications (these protocols must exist in the public domain this is not always the case with some “open” protocols) standards have created an environment within which advanced functions could be realistically and cost-effectively implemented. This paper describes examples of two such functions which could be included within an overall substation secondary system in order to extract information from both the analogue waveform and the telemetry data (i.e. at two distinct levels of the power system data/information “hierarchy”)