Method and device for detecting substation bad data based on multi-source data fusion
A technology of bad data and multi-source data, applied in data processing applications, resources, instruments, etc., can solve the problem of low data accuracy, and achieve the effect of improving accuracy
Active Publication Date: 2017-02-15
XJ ELECTRIC +1
View PDF5 Cites 4 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0003] The purpose of the present invention is to provide a method and device for detecting bad data of factories and stations based on multi-source data fusion, so as to solve the problem of low accuracy of data sent from the factory and stations at present
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0050] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.
[0051] Embodiment of the present invention based on multi-source data fusion method for detection of bad data in factories
[0052] Based on the steady-state data of the substation, the present invention constructs a detection model of the corresponding data identification subject of the substation; according to the constructed detection models of different data identification subjects, the identification rules of the corresponding bad data detection model are formulated; the PMU dynamic data is fused, and the identification rules are used to identify The accuracy of the measurement value and / or state quantity calculated by the detection model participating in the identification is judged to determine the quality and estimated value of the measurement value and / or state quantity. The specific implementation process of this method is as follow...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to a method and a device for detecting substation bad data based on multi-source data fusion, which belong to the technical field of computer software and power system automation. Based on the steady-state data of the substation, a detection model for a corresponding substation data identification subject is built; according to the built detection models for the different data identification subjects, an identification rule for a corresponding bad data detection model is made; PMU dynamic data are fused, the identification rule is used for judging the accuracy of the measurement value and / or the state amount calculated by the detection model in participation in subject identification, and thus the quality of the measurement value and / or the state amount and the estimation value are determined. The substation bad data detection model is built according to the steady-state data of the substation; the substation PMU dynamic data are fused, and a substation bad data calibration and evaluation mechanism is built; and thus, automatic detection and state evaluation on bad data covering the substation equipment measurement and equipment states are realized, and the accuracy of substation-end data sending can be improved.
Description
technical field [0001] The invention relates to a method and device for detecting bad data of a factory station based on multi-source data fusion, and belongs to the technical field of computer software and electric power system automation. Background technique [0002] Due to the errors in each link of obtaining real-time data in the power system, the real-time data obtained by the dispatch center is raw data with low precision, incompleteness, and occasionally bad data. The traditional method is that the dispatch center sorts out the data through state estimation so that it can reflect the real situation of the system. However, due to the insufficient local redundancy of the amount of information transmitted to the dispatch center, it is impossible to improve the traditional state estimation model and algorithm. It fundamentally solves the unavailability of centralized state estimation caused by the reliability of automation technical data in the dispatch center and topolo...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/067G06Q50/06
Inventor 卫星郭利军胡斌李红李宝潭张海庭吴正青李永照陈哲赵群辉孙振庞涛包芳朱斌斌王卫东张思远牛雪鹏
Owner XJ ELECTRIC