Intelligent electric meter area identification method based on phasor measurement technology

Abstract

The invention discloses an intelligent electric meter area identification method based on a phasor measurement technology. The intelligent electric meter area identification method comprises the following steps: acquiring a phase angle acquired by an intelligent electric meter at non-meter-reading time; calculating the similarity of any two intelligent electric meters at the same phase angle according to the phase angles and a characteristic value analysis method; and when the similarity is greater than a similarity threshold value, locating the two intelligent electric meters in the same transformer area. According to the intelligent electric meter area identification method based on the phasor measurement technology, phase information can be obtained with high precision under the conditions of high noise, harmonic interference and dynamic change of fundamental waves by measuring phasor information of electric power signals, and the phase measurement precision and the area identification accuracy are effectively improved.

Description

technical field [0001] The invention relates to the technical field of power system detection, in particular to a method for identifying a smart meter station area based on phasor measurement technology. Background technique [0002] In recent years, with the development of power line communication (PLC) technology, high-speed power line communication (HPLC) has gradually replaced the traditional low-speed narrowband power line technology and has been widely used. HPLC technology has a large bandwidth and a high transmission rate, which can meet the higher requirements of low-voltage power line carrier communication, and provides a basis for the deepening application of the power information collection system. The main purpose of the station area identification technology is to solve the problem of the subordination relationship between the user's smart meter and the station area transformer. According to the similarity of the power signal characteristics in the same station...

AI Technical Summary

Problems solved by technology

With the widespread use of nonlinear loads such as electric vehicles and variable frequency household appliances, the distribution network environment has become increasingly complex, showing high noise, harmonic interference, and dynamic changes in fundamental waves, which seriously affect the accuracy of phase information obtained by zero-crossing detection. Measurement accuracy, resulting in no good identification results for station area identification in a complex distribution network environment

Images