Telemeasuring off-limit alarm optimization method based on scheduling energy management system

Abstract

The invention discloses a telemeasuring off-limit alarm optimization method based on a scheduling energy management system. The method is based on the D5000 technical process of the telemeasuring off-limit alarm optimization method, firstly the system hardware is checked and the system immediately notifies the related transformer substation maintenance personnel to eliminate the hardware fault ifthe hardware is discovered to be unqualified; then error correction and system dynamic error correction are performed on a modulator / demodulator and the system error and the calculation error are reduced by the continuous physical quantity data processing method to enhance the data accuracy; and finally voltage and current off-limit is adjusted to simplify the number of off-limit alarm. The advantages of the method are that the telemeasuring off-limit alarm signal can be accurately simplified by reasonably setting the limit value, and the telemeasuring data accuracy can be effectively enhancedand the number of telemeasuring off-limit alarm can be reduced by selecting the high-precision elements and shortening the data transmission distance and reducing the telemeasuring error and enhancing hardware and software maintenance and using the continuous physical quantity data processing method.

Description

technical field [0001] The invention specifically relates to a method for optimizing a telemetry over-limit alarm based on a dispatching energy management system, and belongs to the technical field of power grid telemetry systems. Background technique [0002] At present, no technology similar to this invention has been found. People have studied the generation mechanism of bad data on the basis of experiments to reproduce errors in power grid scheduling and electricity telemetry data, and pointed out that telemetry data is mixed with transient data and clocks are out of sync. Mixing errors caused by too slow polling frequency and polling frequency are the root causes of bad data; a telemetry processing method for continuous physical quantities is proposed. State estimation has made great progress, and has achieved practical application results in the smart grid dispatching technical support system D5000. my country's state estimation is at the international leading level. ...

AI Technical Summary

Problems solved by technology

However, state estimation cannot completely remove bad data

Today, due to the bad data in the telemetry data, the error of the cumulative power generation and load is greater than 5%, and the real network loss is submerged in the error, resulting in a large error between the line loss and the network loss, and the power flow equation is difficult to establish. Automatic voltage control, Reactive power optimization and optimal power flow are still far from being practical, and the economic benefits of energy management systems are not obvious

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