Identification of Abnormal Measurements Based on Main Network Theoretical Calculation Data Inversion
This paper proposes an algorithm to recognize the abnormal measurement data of the system based on the inversion of the data calculated by the main network theory.The algorithm uses the main network theory to calculate the amount of power deviation as an effective index,which can quickly locate the potential minimum electric system area of abnormal measurement and then effectively identify the abnormal measurement point data.The detailed algorithm strategy and application effect are given through typical examples.The algorithm can efficiently identify the electrical abnormal measurements that may cause inaccurate state estimation results,and obtain the state estimation values with high credibility after measurement management,maximize the accuracy of the source data,and provide reliable data for the main network′s theoretical line loss data management and application enhancement.
theoretical calculationdata inversionmeasurementidentificationmain power gridstate estimation
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