Transient detection and classification in energy meters
نویسندگان
چکیده
M. Nagaraju, M. Naresh and S. Jayasimha Signion Systems Ltd., Hyderabad Abstract Power quality tariffs/ incentives provide an impetus to increased discipline in the emerging deregulated power network scenario. Periodic deviations from desired voltage and currents are measured by line frequency deviation, power factor and harmonics (magnitude and phases) while non-periodic deviations are measured by counting specified transients on the line voltages (such as voltage sag, voltage swell, momentary interruption and oscillatory transients). We propose to use the recursive least square algorithm (RLS) to detect, classify and log these transients, allowing transient logging with far less memory than a waveform capture approach (this reduces non-volatile RAM costs in energy meters). We also discuss implementation issues (computational complexity and fixed-point realization) for a DSP-based tariff meter.
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