CN111509846A - Method and system for efficiently collecting big data of power grid - Google Patents
Method and system for efficiently collecting big data of power grid Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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Abstract
The invention relates to the technical field of power grid data analysis, in particular to a method for efficiently collecting power grid big data, which comprises the following steps of S1, arranging a power grid monitoring system on a power grid, and carrying out voltage conversion on the voltage of the power grid; s2, converting the three-phase voltage through a voltage current transformer and PT/C T, and converting the three-phase voltage into a signal suitable for being collected by an AD chip through sampling and filtering; s3 inputting the obtained signal to a chip for analysis; s4, directly controlling the driver of each hardware interface to communicate with the instrument system for counter control by the analysis result through the driver software; and S5, calculating and storing the parameters of the analyzed and processed power grid data collected by the chip in a time domain and a frequency domain, and performing power grid big data visualization processing to form a visualization picture. The invention provides a large data carrier for a power grid, can improve the management level of safe and economic operation of the power transmission line, and provides necessary reference information for the state maintenance work of the power transmission line.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a method for efficiently collecting big data of a power grid and a system.
Background
With the continuous development of economy and continuous progress of related technologies in China, the coverage rate of the smart power grid exceeds more than 70% of the area of a built-up area, and the coverage rate is continuously enlarged in a larger scale. In a smart grid construction system, user data collection is a key ring. Therefore, how to improve the accuracy of data collection becomes a research hotspot at the present stage. From the current research situation, the improvement of software and hardware facilities becomes a feasible direction.
However, systematic analysis is performed on the application of the multivariate data evaluation mode in the smart grid data acquisition system, and the current application situation of the multivariate data evaluation mode at the present stage is summarized. In fact, the application in this field is still in the first stage in China at present. Except for the bottlenecks of incompleteness of a smart grid data information collection system and related technology, cost and the like. The relatively low external platform support is the root cause. However, we can find out that the multi-data evaluation of the smart grid is a development trend in the future, and particularly, the multi-data evaluation can be rapidly developed under the support of a big data system. In view of the development trend, at least two development directions, namely outward development and introduction, can be formed. The two aspects are the core keys of a future smart grid accessing to a social comprehensive big data system, and can also be one of the development directions of a future data acquisition system of the smart grid.
The method is used for solving the problem that the power transmission line inspection mainly depends on the periodic inspection of operation maintenance personnel, although equipment hidden dangers can be found, the detection on special environment and climate is lacked due to the limitation of the method, the external force change of a line corridor cannot be timely mastered in the vacuum period of the inspection period, and line accidents are easy to occur due to lack of monitoring before the next inspection.
Disclosure of Invention
Aiming at the defects of the prior art, one of the purposes of the invention is to provide a method for efficiently collecting big data of a power grid, which solves the problems that the inspection of a power transmission line mainly depends on the periodic inspection of operation and maintenance personnel, although equipment hidden dangers can be found, the detection of special environment and climate is lacked due to the limitation of the method, the external force change of a line corridor cannot be timely mastered in the vacuum period of the inspection period, and line accidents occur due to the lack of monitoring before the next inspection, and the method is realized by the following technical scheme for realizing the purposes:
the method for efficiently collecting the big data of the power grid comprises the following steps:
step S1: setting a power grid monitoring system in a power grid, and performing voltage conversion on the power grid voltage;
step S2: the three-phase voltage is converted and PT/CT converted through a voltage current transformer, and is converted into a signal suitable for being collected by an AD chip through sampling and filtering;
step S3: inputting the obtained signal into an AD chip for sampling conversion, and inputting data into a control chip for analysis processing through a multi-channel buffering serial port;
step S4: the analysis result is utilized to directly control the driving programs of various hardware interfaces to communicate with the instrument system through driving software so as to realize counter control;
step S5: and for the analyzed and processed power grid data collected by the control chip, calculating and storing each parameter in a time domain and a frequency domain, and performing visualization processing on the power grid big data to form a visualization picture.
Particularly, in step S1, a second-order filter circuit is used to filter interference and to prevent aliasing, and a voltage and current conditioning circuit is used to limit the voltage so that the voltage is matched with the input voltage range of the AD sampling chip.
In particular, in step S2, the phase-locked frequency multiplier circuit controls the output of the phase comparator to be proportional to the phase difference of the square wave signal, which is generated by the synchronous signal circuit and synchronized with the phase voltages of the respective phases, and then sent to the low-pass filter, so that the output of the low-pass filter is a voltage with a frequency varying, and the difference between the frequencies of the input and output signals is reduced as much as possible, and finally reaches zero.
In particular, in step S5, the visualization process customizes the high-dimensional data visualization with a visualization assembly line, and after the high-dimensional data is given, the user can draw coordinate axes of each dimension and link each axis in a plurality of ways such as a polyline, a curve, a scatter point, and the like, thereby creating a parallel coordinate, a scatter point matrix, and a dimension-reduced projection lamp classical high-dimensional visualization.
In particular, it is characterized in that: the parallel coordinates are formed by arranging a plurality of dimensions in parallel as Y axes, a broken line penetrates through each axis to represent the value of data, the broken line is combined with a scatter diagram and is embedded into the distance between the axes of the parallel coordinates, and the broken line penetrates through the corresponding scatter point to realize the combination of two views.
Specifically, the step S5 includes visualizing a projection matrix in which each row/column represents a set of dimensions, and a projection tree in which cells represent subspaces formed by the row/column dimensions, and differences of data of the respective subspaces are visually represented by the matrix, wherein the organization of the subspaces is hierarchical, and each child node includes a dimension or data of a parent node.
The invention also aims to provide a power grid data monitoring system which comprises a control chip, a signal conditioning circuit, an AD sampling circuit, a clock circuit, an SDRAM (synchronous dynamic random access memory) and a communication module, wherein after three-phase voltage to be monitored is converted through a voltage-current transformer and PT/CT (potential transformer/current transformer), the converted signal is converted into a signal suitable for being collected by the AD sampling circuit through the signal conditioning circuit, the obtained signal is input into the AD sampling circuit for conversion, data is input into the control chip through a multi-channel buffer serial port, the calculation and storage of each parameter of the power quality in a time domain and a frequency domain are completed, and the SDRAM and the communication module are electrically connected with the control chip.
Particularly, the control chip is a DSP chip, a CPU chip or a single chip.
The method of the invention provides a large data carrier for the power grid, and further can perform early warning on the abnormal condition of the line, can improve the management level of safe and economic operation of the power transmission line by monitoring each effective parameter of the line, provides necessary reference information for the state maintenance work of the power transmission line, and has good popularization and application values.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the means of the instrumentalities and combinations particularly pointed out hereinafter.
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In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings, in which:
FIG. 1 is a schematic diagram of steps of a method for efficiently collecting big data of a power grid.
Detailed Description
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are illustrative of the invention only and are not limiting upon the scope of the invention.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the method for efficiently collecting big data of a power grid of the present invention includes the following steps:
step S1: setting a power grid monitoring system in a power grid, and performing voltage conversion on the power grid voltage; in the step, a second-order filter circuit is adopted to filter interference and resist aliasing, and voltage and current conditioning circuits are used for limiting the voltage so as to enable the voltage to be matched with the input voltage range of the AD sampling chip.
Step S2: the three-phase voltage is converted and PT/CT converted through a voltage current transformer, and is converted into a signal suitable for being collected by an AD chip through sampling and filtering; in this embodiment, the phase-locked frequency multiplier circuit controls the output of the phase comparator to be proportional to the phase difference of the square wave signal, the phase difference is generated by the synchronous signal circuit and is synchronized with the phase voltages of the phases, and then the phase difference is sent to the low-pass filter, so that the output of the low-pass filter is a voltage with a frequency change, and the frequency difference of the input and output signals is reduced as much as possible and finally reaches zero.
Step S3: inputting the obtained signal into an AD chip for sampling conversion, and inputting data into a control chip for analysis processing through a multi-channel buffering serial port;
step S4: the analysis result is utilized to directly control the driving programs of various hardware interfaces to communicate with the instrument system through driving software so as to realize counter control; in this embodiment, the driver software is based on the PC development technology, and includes a processor and a file I/O, and can perform real-time analysis
Step S5: and for the analyzed and processed power grid data collected by the control chip, calculating and storing each parameter in a time domain and a frequency domain, and performing visualization processing on the power grid big data to form a visualization picture. In this embodiment, visual processing is visual with visual assembly line customization high dimension data, after giving high dimension data, the user can draw the coordinate axis of each dimension, and through the broken line, the curve, each axle is contacted to a plurality of modes such as scatter point, thereby create parallel coordinates, the scatter point matrix, the classic high dimension of dimension reduction projection lamp is visual, parallel coordinates regards a plurality of dimensions as Y axle and arranges side by side, pass each axle through the broken line, the value of data is represented, can combine with the scatter point in the interaxis with the scatter point embedding parallel coordinates, the broken line passes corresponding scatter point and can combine two kinds of views.
As a further improvement, step S5 further includes visualizing a projection matrix and a projection tree, where each row/column in the matrix represents a set of dimensions, and a cell represents a subspace formed by the row/column dimensions, and the matrix visually represents differences of data of each subspace, so as to facilitate viewing by a user, and in the tree, the organization of the subspace is hierarchical, and each child node includes a dimension or data of a parent node.
The method of the embodiment provides a large data carrier for the power grid, can further perform early warning on the abnormal condition of the line, can improve the management level of safe and economic operation of the power transmission line by monitoring each effective parameter of the line, and provides necessary reference for state maintenance work of the power transmission line.
The invention also provides a power grid data monitoring system, which comprises a control chip, a signal conditioning circuit, an AD sampling circuit, a clock circuit, an SDRAM (synchronous dynamic random access memory) and a communication module, wherein the known mains supply voltage is overhigh, and the voltage of each chip belongs to the weak current range, so that the three-phase voltage is converted and converted by a voltage-current transformer and a PT/C T, the converted signal is converted into a signal which is suitable for AD acquisition by adopting a circuit through sampling and filtering, the signal conditioning circuit is needed, then the obtained signal is input into the AD sampling circuit for sampling conversion, and data is input into the control chip through a multi-channel buffer serial port, and the calculation and storage of each parameter of the power quality in time domain and frequency domain are completed. And performing zero-crossing detection on the monitored voltage signal to obtain the frequency of the voltage signal, and finally realizing communication with an upper computer through an RS232 bus after the data is processed by TMS320F 2812.
In this embodiment, the control chip is a DSP chip, specifically TMS320F2812, and since its peripheral circuits are common knowledge in the art, they are not described in detail here.
The safe operation of the power enterprise can not be controlled by the real-time monitoring of the power quality, the traditional design scheme of the embedded PC is high in cost and complex in structure, network information words and instantaneity are all deficient, and the scheme of mixing various embedded devices, such as combination of a DSP and an MCU, well solves the current requirements on power quality monitoring, a large amount of data processing, remote communication and the like. The networking is that each monitoring device is managed in a layered mode, and all monitoring points in an electric power system are connected to form a whole by relying on a computer technology, a virtual instrument VR technology, a network communication technology and the like, so that networking is realized. The power quality monitoring is systematized by common DSP mainly responsible for real-time data processing such as data acquisition and virtual instrument technology mainly used for on-line monitoring and Web-based networked monitoring.
On this basis, the communication that relies on the free protocol to realize host computer and next machine TMS320F2812 through the RS232 interface has been increased to this embodiment, and traditional host computer can not show the wave form of data after the DSP handles, and the host computer that this text developed has functions such as reality three-phase voltage wave form. In the development of a data acquisition system, the TMS320F2812 has insufficient A/D precision, and a high-precision multi-channel external A/D sampling chip is adopted.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, the operations of processes described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described herein (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the methods of the present invention may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described herein includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein.
A computer program can be applied to input data to perform the functions described herein to transform the input data to generate output data that is stored to non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (8)
1. A method for efficiently collecting big data of a power grid is characterized by comprising the following steps: the method comprises the following steps:
step S1: setting a power grid monitoring system in a power grid, and performing voltage conversion on the power grid voltage;
step S2: the three-phase voltage is converted and PT/CT converted through a voltage current transformer, and is converted into a signal suitable for being collected by an AD chip through sampling and filtering;
step S3: inputting the obtained signal into an AD chip for sampling conversion, and inputting data into a control chip for analysis processing through a multi-channel buffering serial port;
step S4: the analysis result is utilized to directly control the driving programs of various hardware interfaces to communicate with the instrument system through driving software so as to realize counter control;
step S5: and for the analyzed and processed power grid data collected by the control chip, calculating and storing each parameter in a time domain and a frequency domain, and performing visualization processing on the power grid big data to form a visualization picture.
2. The method for efficiently collecting the big data of the power grid as claimed in claim 1, wherein: in step S1, a second-order filter circuit is used to filter interference and to prevent aliasing, and a voltage and current conditioning circuit is used to limit the voltage so that the voltage is matched with the input voltage range of the AD sampling chip.
3. The method for efficiently collecting the big data of the power grid as claimed in claim 2, wherein: in step S2, the phase-locked frequency multiplier circuit controls the output of the phase comparator to be proportional to the phase difference of the square wave signal, the phase difference is generated by the synchronous signal circuit and synchronized with the phase voltages of the respective phases, and then sent to the low-pass filter, so that the output of the low-pass filter is a voltage with a frequency change, and the frequency difference of the input and output signals is reduced as much as possible and finally reaches zero.
4. The method for efficiently collecting the big data of the power grid as claimed in claim 1, wherein: in the step S5, the visualization processing customizes the high-dimensional data visualization by a visualization assembly line, and after the high-dimensional data is given, the user can draw coordinate axes of each dimension and link each axis in a plurality of ways such as a broken line, a curve, a scatter point, and the like, thereby creating a parallel coordinate, a scatter diagram moment, and a dimension-reduced projection lamp classical high-dimensional visualization.
5. The method for efficiently collecting the big data of the power grid as claimed in claim 1 or claim 4, wherein: the parallel coordinates are formed by arranging a plurality of dimensions in parallel as Y axes, a broken line penetrates through each axis to represent the value of data, the broken line is combined with a scatter diagram and is embedded into the distance between the axes of the parallel coordinates, and the broken line penetrates through the corresponding scatter point to realize the combination of two views.
6. The method for efficiently collecting the big data of the power grid as claimed in claim 4, wherein: in step S5, a projection matrix and a projection tree are visualized, where each row/column in the matrix represents a group of dimensions, and a cell represents a subspace formed by the row/column dimensions, and the difference of data of each subspace is visually represented by the matrix, and in the tree, the organization of the subspace is hierarchical, and each child node includes a parent node dimension or data.
7. A power grid data monitoring system is characterized in that: the device comprises a control chip, a signal conditioning circuit, an AD sampling circuit, a clock circuit, an SDRAM (synchronous dynamic random access memory) and a communication module, wherein after three-phase voltage needing to be monitored is converted through a voltage-current transformer and PT/CT (potential transformer/current transformer), the converted signal is converted into a signal suitable for being collected by the AD sampling circuit through the signal conditioning circuit, the obtained signal is input into the AD sampling circuit to be converted, data is input into the control chip through a multi-channel buffer serial port, the calculation and storage of each parameter of the electric energy quality in a time domain and a frequency domain are completed, and the SDRAM and the communication module are electrically connected with the control chip.
8. A power grid data monitoring system is characterized in that: the control chip is a DSP chip, a CPU chip or a single chip.
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