No abstract

No abstract

<p class="TTPSectionHeading">Energy metering complexes are included in the measuring part of the automatic meter reading (AMR) systems. Data distortion may occur at information level of AMR system as well as at measuring level. Errors that occur at the information level can be monitored programmatically. Measurement distortion occurred at the level of measurements is difficult to discover using technical methods. The trend in AMR systems is toward at improving their technical component, as well as increasing the amount of energy metering complexes which form AMR system. Still the mathematical modeling of the processes associated with energy measurements remains significantly low.</p>

Reliability of metering information is very important. There are different mathematical methods of measurement data verification. Large quantity of the bad data identification techniques are proposed to identify low precision measurements. These methods are developed as a part of the state estimation problem to calculate the steady state on the basis of telemetry data. A new approach to the calculation of state variables vector is proposed. A posteriori algorithm of bad data validation is described in details. The example of bad data detection for test scheme is considered.

No abstract