Primary station data quality optimizing method for intelligent power grid dispatching technical support system

Abstract

The invention discloses a primary station data quality optimizing method for an intelligent power grid dispatching technical support system. The method comprises the following steps that a primary station acquires transformer station data from multiple communication channels, selects a current data source according to a set priority and generates data point CIM / E files of the current data source; a transformer station generates data point CIM / E files periodically and sends the files to the primary station through an independent communication channel; the data point CIM / E files of the primary station and the data point CIM / E files of the transformer station are compared for verification; when the verification result is normal, normal data are displayed on a dispatching frame of the primary station; otherwise, data sources acquired from multiple communication channels are retrieved; a next data source with a relatively low priority is acquired to serve as the current data source; data point CIM / E files of the current data source are generated; and comparison for verification according to the above-mentioned step is further performed until the verification result is normal. The method which can prevent data inconsistency between the primary station and the transformer station effectively improves the primary station data quality of the intelligent power grid dispatching technical support system.

Description

technical field [0001] The invention relates to a master station data quality optimization method, in particular to a master station data quality optimization method oriented to a smart grid dispatching technical support system, and belongs to the technical field of electric power system dispatching. Background technique [0002] In recent years, with the improvement of the requirements for the quality of power grid operation, the power system has increased the assessment of the qualification rate of the state estimation of the master station, which essentially puts forward higher requirements for the data quality of the master station. The data quality problems of the master station are mainly manifested in the following two aspects: [0003] The first is that the data quality at the substation end is not high. In response to this situation, Huang Hui and others have elaborated in the paper "Development Analysis and Prospect of Smart Grid Data Quality Control" (published i...

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Problems solved by technology

[0004] The second is that the communication transmission error between the master station and the substation end leads to low data quality

[0006] (1) The data scale of the smart grid dispatching technical support system is huge, and the method of manually checking the data point table is not reliable and prone to errors;

[0007] (2) At present, the data point table required for communication between the two parties in the smart grid dispatching technical support system needs to be manually generated. When the master station or substation independently maintains the point table, the data synchronization between the master station and the substation may not be timely;

However, the current source data screened out by the master station's multi-source collection is not necessarily the most reliable, and the most accurate data is not sent to the SCADA system and other applications;

[0009] (4) The master station and the substation use the communication protocol to transmit data information. If the communication protocol is abnormal, it will also cause the master station to not correctly reflect the actual operation of the field equipment, thereby affecting the correctness and consistency of the data

[0010] At present, there is no effective solution proposed in the prior art to analyze and solve the above-mentioned problems in the process of data transmission between the master station and the substation, so as to improve the overall data quality, improve the pass rate of state estimation, and provide accurate information for other applications. , valid and reliable data

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