CN114089256A - Electric energy quality data standardization processing method - Google Patents

Abstract

The invention provides a power quality data standardization processing method, which comprises the following steps: firstly, selecting different types of power quality analyzers of different manufacturers, and determining the storage types, data information and storage position sequences of power quality data of the different power quality analyzers; then uniformly converting the power quality data of different analyzers into standard PQDIF files by adopting standardized data types, label definitions and a ZLIB data compression algorithm; and finally, carrying out consistency detection on the converted PQDIF file so as to verify whether the electric energy quality master station system can be normally shared. The invention realizes the standardization of multi-source data of the power quality data by adopting the PQDIF file, and carries out consistency detection on the PQDIF file, so that the converted power quality data is shared and controlled, the workload of statistical analysis is reduced, and the development of special work such as harmonic investigation, treatment, power grid technical supervision and the like is better supported.

Description

Electric energy quality data standardization processing method

Technical Field

The invention relates to the field of electric energy quality data processing, in particular to a standardized processing method of electric energy quality data.

Background

At present, in order to effectively implement an important task of preventing the operation risk of the power grid, a power supply bureau inspects a station and a user station with standard exceeding power quality parameters through a power quality general inspection test (hereinafter referred to as general inspection). The power supply bureau carries out general measurement by using portable power quality analyzers of different manufacturers and different models, and although the portable power quality analyzers can obtain data required by power quality analysis, the input and output formats of data storage are different and are not compatible with each other due to the fact that the control methods and analysis software of products of different manufacturers are different. Due to the disordered situation, the monitoring and analysis work of the power quality data needs to be carried out by investing great labor and time cost, the harmonic investigation and treatment is difficult to support, and the development of special power grid technical supervision work and later-stage technical evaluation and assessment work is not facilitated.

In summary, in the aspect of universal measurement standardization of the power quality data, an efficient and unified universal measurement standardization method of the power quality data is lacked, so that the problem that test data from power quality analyzers of different manufacturers or models are incompatible with each other is solved, information sharing and management and control of the power quality universal measurement data are realized, and the analysis processing capability of technicians on the power quality data is improved.

Disclosure of Invention

The invention solves the above problems, and provides a standardized processing method of power quality data, which comprises the steps of firstly selecting power quality analyzers of different manufacturers in different models, and determining the storage types, data information and storage position sequences of the power quality data of the different power quality analyzers; then uniformly converting the power quality data of different analyzers into standard PQDIF files by adopting standardized data types, label definitions and data compression algorithms; and finally, carrying out consistency detection on the converted PQDIF file so as to verify whether the PQDIF file can be normally shared. The converted power quality data is shared and controlled, the workload of statistical analysis is reduced, and the development of special work such as harmonic investigation, treatment, power grid technical supervision and the like is supported better.

In order to achieve the purpose, the technical scheme adopted by the invention is as follows:

a power quality data standardization processing method comprises the following steps:

s1: selecting power quality analyzers of different manufacturers and different models, and determining the storage type, data information and storage position sequence of power quality data in each power quality analyzer;

s2: uniformly converting the power quality data of each power quality analyzer into a standard PQDIF file by adopting a standardized data type, label definition and data compression algorithm;

s3: consistency checks are performed on the PQDIF files to verify whether they are shared normally.

Further, the consistency detection comprises grammar standard detection, data integrity detection and data correctness detection.

Further, the syntax standardization detection comprises XML syntax, file structure and compression algorithm detection of the PQDIF file.

Further, the XML syntax detection includes the following steps:

s31: checking whether the structure of the XML is intact;

s32: and checking whether the XML document is valid according to the corresponding DTD document.

Further, the data integrity detection means detecting whether the channel definition, the sequence definition, the parameter number, the parameter name and the parameter sequence of the power quality data in the PQDIF file meet the specification requirements.

Further, the data correctness detection means that a power quality standard source is adopted to detect whether the statistical data of the power quality data in the PQDIF file is within an allowable error range, and the method comprises the following steps:

s33: taking the analyzed average statistical data in the PQDIF file as a measured value array;

s34: calculating average statistical data output by the power quality standard source at the same data collection interval as the detected power quality analyzer to serve as a standard value array;

s35: calculating relative measurement errors of data with the same time scale in the measured value array and the standard value array in sequence, and judging whether the relative errors exceed the standard or not based on the set allowable measurement errors; and if the relative measurement error of one datum exceeds the standard, determining that the data correctness test of the PQDIF file is not qualified.

Drawings

FIG. 1 is a flow chart of a method of power quality data normalization processing;

FIG. 2 is a flow chart of data correctness detection.

Detailed Description

The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

The embodiments of the present disclosure are described below with specific examples, and other advantages and effects of the present disclosure will be readily apparent to those skilled in the art from the disclosure in the specification. It is to be understood that the described embodiments are merely illustrative of some, and not restrictive, of the embodiments of the disclosure. The disclosure may be embodied or carried out in various other specific embodiments, and various modifications and changes may be made in the details within the description without departing from the spirit of the disclosure. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.

Example one

Fig. 1 shows a flowchart of a power quality data normalization processing method, which includes the following steps:

s1: selecting power quality analyzers of different manufacturers and different models, and determining the storage types, data information and storage position sequences of power quality data of the different power quality analyzers;

s2: adopting standardized data types, rich label definitions and a data compression algorithm (adopting a ZLIB function library in the embodiment) to uniformly convert the power quality data of different analyzers into standard PQDIF (Power quality data interchange Format) files;

s3: and carrying out consistency detection on the converted PQDIF file, and determining whether the PQDIF file meets the specification requirements of XML (extensible markup language), IEEE1159.3 and a local area so as to verify whether normal sharing of the electric energy quality master station system can be conducted.

In a specific implementation, the consistency detection includes syntax standard detection, data integrity detection and data correctness detection.

In a specific implementation, the syntax standardization detection includes detecting whether the XML syntax of the PQDIF file meets the XML specification, and detecting whether the file structure and the compression algorithm of the PQDIF file meet the requirements of the IEEE1159.3 and other standards. The characteristics of the XML include the separation of the anti-tag definition and the display of the content, so the XML specification mainly includes three elements: DTD (Document Type Definition) or XML Schema (XML Schema), style sheet XSL defining XML display, and extensible link language Xlink. The DTD/XML Schema defines the logical structure, elements, element attributes and the relationship between elements of the XML file.

In a specific implementation, the detecting whether the XML syntax of the PQDIF file meets the XML specification is mainly for detecting the DTD/XML Schema, and includes the following steps:

s31: checking whether the structure of the XML is good;

s32: it is checked whether the XML document is valid according to a corresponding DTD (document type definition) document.

In specific implementation, the method for detecting the normalization of the XML syntax can adopt a reduction method, a derivation method and the like.

In specific implementation, the data integrity detection means detecting whether channel definition, sequence definition, parameter number, parameter name, parameter sequence and the like of the power quality data in the PQDIF file meet requirements of regional specifications.

In specific implementation, the data correctness detection means that a power quality standard source is adopted to detect whether statistical data of power quality data stored in a PQDIF file is within an allowable error range, as shown in fig. 2, the method includes the following steps:

s33: and taking the analyzed average statistical data in the PQDIF file as a measured value array. The measured value is an array which is determined according to the output time of the power quality standard source and contains 1 or more average values of the phase voltage current;

s34: calculating average statistical data output by the power quality standard source at the same data collection interval as the detected power quality analyzer to serve as a standard value array; the obtained standard value is also an array, the average value of the phase voltage current with the same quantity as the measured value is contained, and the time scales of all data can be in one-to-one correspondence;

s35: and calculating relative measurement errors of the data with the same time scale in the measured value array and the standard value array in sequence, and judging whether the relative errors exceed the standard or not based on the set allowable measurement errors. And in a PQDIF file, as long as the relative measurement error of one datum exceeds the standard, the data correctness test of the PQDIF file is considered to be unqualified, and the subsequent correctness detection of the rest power quality data is stopped.

The invention provides a power quality data standardization processing method, which comprises the following steps: firstly, selecting different types of power quality analyzers of different manufacturers, and determining the storage types, data information and storage position sequences of power quality data of the different power quality analyzers; then uniformly converting the power quality data of different analyzers into standard PQDIF files by adopting standardized data types, rich label definitions and a ZLIB data compression algorithm; and finally, carrying out consistency detection on the converted PQDIF file so as to verify whether the power quality data can be normally shared by the power quality master station system. The invention realizes the standardization of multi-source data of the power quality data based on the PQDIF file, can carry out consistency detection aiming at the PQDIF file, realizes the sharing and control of the converted power quality data, greatly lightens the workload of later statistical analysis, improves the working efficiency, and better supports the development of special work such as harmonic wave investigation, treatment, power grid technical supervision and the like of a power grid company.

The above description is for the purpose of illustrating embodiments of the invention and is not intended to limit the invention, and it will be apparent to those skilled in the art that any modification, equivalent replacement, or improvement made without departing from the spirit and principle of the invention shall fall within the protection scope of the invention.

Claims (6)

1. A power quality data standardization processing method is characterized by comprising the following steps:

s1: selecting power quality analyzers of different manufacturers and different models, and determining the storage type, data information and storage position sequence of power quality data in each power quality analyzer;

s2: uniformly converting the power quality data of each power quality analyzer into a standard PQDIF file by adopting a standardized data type, label definition and data compression algorithm;

s3: consistency checks are performed on the PQDIF files to verify whether they are shared normally.

2. The power quality data normalization processing method according to claim 1, wherein the consistency check includes a syntax standard check, a data integrity check and a data correctness check.

3. The power quality data normalization processing method according to claim 2, wherein the syntax standardization check includes an XML syntax, a file structure, and a compression algorithm check of the PQDIF file.

4. The power quality data normalization processing method according to claim 3, wherein the XML syntax checking includes the steps of:

s31: checking whether the structure of the XML is intact;

s32: and checking whether the XML document is valid according to the corresponding DTD document.

5. The method as claimed in claim 2, wherein the data integrity check is to check whether the channel definition, sequence definition, number of parameters, name of parameters and sequence of parameters of the power quality data in the PQDIF file meet the specification requirements.

6. The method for processing the power quality data in the standardized manner as claimed in claim 2, wherein the data correctness detection means detecting whether the statistical data of the power quality data in the PQDIF file is within the allowable error range by using a power quality standard source, and the method comprises the following steps:

s33: taking the analyzed average statistical data in the PQDIF file as a measured value array;

s34: calculating average statistical data output by the power quality standard source at the same data collection interval as the detected power quality analyzer to serve as a standard value array;

s35: calculating relative measurement errors of data with the same time scale in the measured value array and the standard value array in sequence, and judging whether the relative errors exceed the standard or not based on the set allowable measurement errors; and if the relative measurement error of one datum exceeds the standard, determining that the data correctness test of the PQDIF file is not qualified.

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