CN114264981A - Health state evaluation system of regional power grid power transformer based on cloud edge fusion - Google Patents
Health state evaluation system of regional power grid power transformer based on cloud edge fusion Download PDFInfo
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Abstract
The invention relates to a health state evaluation system of a power transformer of a regional power grid based on cloud edge fusion, which is characterized by comprising a data acquisition and processing assembly, a communication module and a central cloud server, wherein the data acquisition and processing assembly comprises a plurality of cloud edge acquisition processors and is used for acquiring, storing and processing evaluation data of the power transformer; the data acquisition and processing assembly performs data interaction with the central cloud server through the communication module; the central cloud server acquires a regional standard index based on an evaluation index of a power transformer in a region to be evaluated, acquires the power transformer with the evaluation index exceeding or lower than a preset threshold value of the regional standard index as a transformer to be regulated, and regulates the load of the transformer to be regulated. Compared with the prior art, the method can further improve the reliability and accuracy of evaluation and the energy conservation and efficiency improvement of the power transformer.
Description
Technical Field
The invention relates to the field of transformer evaluation, in particular to a health state evaluation system of a regional power grid power transformer based on cloud edge fusion.
Background
The existing transformer operation state evaluation technologies are mainly classified into four types, namely fuzzy mathematical technology, expert system technology, neural network technology and genetic algorithm technology. In addition to this, the introduction of "cloud" technology has received a great deal of attention. And (3) utilizing an information fusion analysis technology in the health assessment of the power transformer, analyzing a thermal aging and health index model in a correlation manner, and developing power transformer health assessment software on a cloud platform. The theoretical feasibility is verified by adopting the information of the key state quantity, but the actual networking operation is not performed in the actual application effect. The problem of ambiguity and randomness exists in the state quantity of the distribution transformer health state assessment. In addition, the health state indexes of the distribution transformer selected by the existing evaluation method are not comprehensive enough, the research on the health state evaluation technology of the power transformer is only limited to the data of one machine, and the method has limitation and inaccuracy.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a health state evaluation system of a regional power grid power transformer based on cloud edge fusion.
The purpose of the invention can be realized by the following technical scheme:
a health state evaluation system of a regional power grid power transformer based on cloud edge fusion comprises a data acquisition and processing component, a communication module and a central cloud server,
the data acquisition and processing assembly comprises a plurality of cloud edge acquisition processors arranged at the power transformer in the area to be evaluated, and the cloud edge acquisition processors are used for acquiring, storing and processing evaluation data of the power transformer;
the data acquisition and processing assembly performs data interaction with the central cloud server through the communication module;
the central cloud server acquires evaluation data stored by the cloud edge acquisition processor, aggregates the evaluation data of the power transformers to obtain evaluation indexes, acquires regional standard indexes based on the evaluation indexes of the power transformers in a region to be evaluated, acquires the power transformers with the evaluation indexes exceeding or lower than a preset threshold of the regional standard indexes as transformers to be regulated, and regulates the load of the transformers to be regulated.
Preferably, the evaluation data comprises a vibration signal, a current signal and a high frequency signal.
Preferably, the central cloud server obtains corresponding weights of the vibration signal, the current signal and the high-frequency signal, and performs weighting and averaging on the vibration signal, the current signal and the high-frequency signal according to the weights to obtain an evaluation index.
Preferably, the obtaining formula of the evaluation index is:
Si＝w1Vi+w2Ii+w3Fi
wherein S isiIs an evaluation index of the ith power transformer, w1、w2、w3Respectively vibration signal, current signal and high-frequency signal weight, ViIs the value of the vibration signal of the ith power transformer, IiIs the current signal of the ith power transformerNumber value, FiIs the high frequency signal value of the ith power transformer.
Preferably, the calculation formula of the area standard index is as follows:
wherein the content of the first and second substances,
and (4) a regional standard index, wherein n is the total number of power transformers in the region.
Preferably, when the load of the transformer to be adjusted is adjusted, a difference value between an evaluation index of the transformer to be adjusted and a regional standard index is acquired:
wherein, DeltaiThe difference value between the ith power transformer and the regional standard index,
and adjusting the load of the transformer to be adjusted to delta of the original loadi。
Preferably, the cloud edge acquisition processor comprises a body vibration acquisition processing module, a current acquisition processing module and a high-frequency acquisition processing module,
the device body vibration acquisition processing module is used for acquiring, processing and storing a vibration signal of the power transformer;
the current acquisition processing module is used for acquiring, processing and storing a current signal of the power transformer;
the high-frequency acquisition processing module is used for acquiring, processing and storing the high-frequency signals of the power transformer.
Preferably, the device body vibration acquisition processing module comprises a device body vibration sampling submodule, a load current sampling submodule, a load voltage sampling submodule, a vibration signal acquisition device and a vibration acquisition processor,
the transformer body vibration sampling submodule is used for sampling a transformer body vibration signal of the power transformer;
the load current sampling submodule is used for sampling a load current signal of the power transformer;
the load voltage sampling submodule is used for sampling a load voltage signal of the power transformer;
the vibration signal collector is used for collecting a vibration signal of the body and sending the vibration signal to the vibration collection processor;
the vibration acquisition processor is used for acquiring a body vibration signal, a load current signal and a load voltage signal, processing the signals and sending the signals to the central cloud server through the communication module.
Preferably, the current collecting and processing module comprises a plurality of current sampling sub-modules, a current signal collector and a current signal processor,
the current sampling submodule is used for sampling a current signal of the power transformer;
the current signal collector collects current signals and sends the current signals to the current collection processor;
the current acquisition processor is used for acquiring a body vibration signal, a load current signal and a load voltage signal, processing the signals and sending the signals to the central cloud server through the communication module.
Preferably, the high-frequency acquisition processing module comprises an ultrahigh-frequency sensor, a high-frequency sensor, an ultrasonic sensor, an ultrahigh-frequency module, a high-frequency module and an ultrasonic module,
the ultrahigh frequency sensor is used for sampling ultrahigh frequency signals of the power transformer, and the ultrahigh frequency module comprises a plurality of ultrahigh frequency local discharge plates and is used for collecting, processing and storing the ultrahigh frequency signals acquired by the ultrahigh frequency sensor;
the high-frequency module comprises a plurality of high-frequency local discharge plates and is used for collecting, processing and storing the high-frequency signals acquired by the high-frequency sensor;
the ultrasonic sensor is used for sampling ultrasonic signals of the power transformer, and the ultrasonic module comprises a plurality of ultrasonic local discharge plates and is used for collecting, processing and storing the ultrasonic signals acquired by the ultrasonic sensor.
Compared with the prior art, the invention has the following advantages:
1) according to the invention, a plurality of power transformers are taken as monitoring and evaluating objects, from the viewpoint of improving the health state monitoring and energy management of the plurality of power transformers, a cloud edge technology is reasonably applied, and a multi-source information fusion technology is combined, so that multi-dimensional sensing data provided by edge-side key storage and processing terminal equipment is processed and uploaded to the cloud, and a cloud center fuses data and performs multi-dimensional analysis application of big data.
2) The method comprises the steps of monitoring a plurality of power transformers, wherein each power transformer and the corresponding cloud edge acquisition processor can be regarded as an edge, preprocessing edge data and uploading the preprocessed edge data to a central cloud server, then performing data fusion by the central cloud server according to data transmitted by the edges, evaluating the health state of the power transformers, acquiring regional standard indexes in a region based on big data of the plurality of power transformers, and correspondingly adjusting the power transformers with deviation larger than a threshold value from the regional standard indexes to serve as transformers to be adjusted, so that the reliability and accuracy of evaluation and the energy conservation and efficiency improvement of the power transformers are further improved.
3) The method and the system evaluate whether the indexes of the health state of the power transformer meet the requirements or not according to the data monitored by a plurality of power transformers of the regional power grid, and the established evaluation index system of the health state of the power transformer is more complete and has diversified evaluation indexes, such as partial discharge signals including high-frequency pulse current, ultrasonic waves, ultrahigh-frequency electromagnetic waves, transformer vibration signals, load voltage, load current, fan oil pump current, temperature, humidity and the like, high evaluation accuracy and reliability, good regulation effect on the power transformer and capability of ensuring the normal work of the power transformer in a region.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic structural diagram of a vibration acquisition and processing module of the body of the present invention;
fig. 3 is a schematic structural diagram of the high-frequency acquisition processing module according to the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. Note that the following description of the embodiments is merely a substantial example, and the present invention is not intended to be limited to the application or the use thereof, and is not limited to the following embodiments.
Examples
A health state evaluation system of a regional power grid power transformer based on cloud edge fusion is shown in figure 1 and comprises a data acquisition and processing assembly, a communication module and a central cloud server.
In this embodiment, the data acquisition and processing assembly includes a plurality of cloud edge acquisition processors disposed at the power transformer in the area to be evaluated, and the cloud edge acquisition processors are configured to acquire, store, and process evaluation data of the power transformer, where the evaluation data includes a vibration signal, a current signal, and a high-frequency signal.
The cloud edge acquisition processor comprises a body vibration acquisition processing module, a current acquisition processing module and a high-frequency acquisition processing module, wherein the body vibration acquisition processing module is used for acquiring, processing and storing vibration signals of the power transformer; the current acquisition processing module is used for acquiring, processing and storing a current signal of the power transformer; the high-frequency acquisition processing module is used for acquiring, processing and storing the high-frequency signals of the power transformer.
In the embodiment, the device body vibration acquisition processing module comprises a device body vibration sampling submodule, a load current sampling submodule, a load voltage sampling submodule, a vibration signal acquisition device and a vibration acquisition processor,
the transformer body vibration sampling submodule is used for sampling a transformer body vibration signal of the power transformer;
the load current sampling submodule is used for sampling a load current signal of the power transformer;
the load voltage sampling submodule is used for sampling a load voltage signal of the power transformer;
the vibration signal collector is used for collecting a vibration signal of the body and sending the vibration signal to the vibration collection processor;
the vibration acquisition processor is used for acquiring a body vibration signal, a load current signal and a load voltage signal, processing the signals and sending the signals to the central cloud server through the communication module.
In this embodiment, as shown in fig. 2, the vibration acquisition processor is an STM32H743ZIT6 single chip microcomputer, the vibration acquisition processor adopts an external expansion AD7616 as an acquisition unit, and the external expansion RAM is used for signal acquisition and operation. Signals collected by the body vibration sampling submodule, the load current sampling submodule and the load voltage sampling submodule comprise 18 paths of vibration signals, 3 paths of load current and 3 paths of load voltage, 16 paths of vibration signals are collected by an AD7616, and the rest 2 paths of vibration, 3 paths of load voltage and load current are collected by an AD in an STM32 controller; the current zero phase of the system is obtained through the zero-crossing comparator and is used by a high-frequency detection part (amplitude and phase of partial discharge) in the system.
The current acquisition processing module comprises a plurality of current sampling sub-modules, a current signal collector and a current signal processor, wherein the current sampling sub-modules are used for sampling current signals of the power transformer; the current signal collector collects current signals and sends the current signals to the current collection processor; the current collection processor is used for collecting a body vibration signal, a load current signal and a load voltage signal, processing the signals and sending the signals to the central cloud server through the communication module.
In this embodiment, the current sampling submodule includes a plurality of current sampling submodules for collecting a neutral point electrical signal, a clamp grounding current signal, an iron core grounding current signal, a fan current signal, and an oil pump current signal, the current signal processor is an STM32H743ZIT6 single chip microcomputer, the current signal collector is an AD7616 collector, the AD7616 collector collects 16 paths of current signals, a total of 72 paths of fans in the system have oil pump currents, 1 path of iron core grounding current, 1 path of clamp grounding current, and 1 path of transformer neutral point grounding current, so 5 current sampling modules need to be set for sampling.
As shown in fig. 3, the high-frequency acquisition and processing module includes an ultrahigh-frequency sensor, a high-frequency sensor, an ultrasonic sensor, an ultrahigh-frequency module, a high-frequency module, and an ultrasonic module, where the ultrahigh-frequency sensor is used to sample an ultrahigh-frequency signal of the power transformer, and the ultrahigh-frequency module includes a plurality of ultrahigh-frequency local discharge plates, which are used to acquire, process, and store the ultrahigh-frequency signal acquired by the ultrahigh-frequency sensor; the high-frequency module comprises a plurality of high-frequency local discharge plates and is used for collecting, processing and storing the high-frequency signals acquired by the high-frequency sensor; the ultrasonic sensor is used for sampling ultrasonic signals of the power transformer, and the ultrasonic module comprises a plurality of ultrasonic local discharge plates and is used for collecting, processing and storing the ultrasonic signals acquired by the ultrasonic sensor.
In this embodiment, the high-frequency acquisition and processing module includes 3 ultrahigh-frequency partial discharge plates, 3 high-frequency partial discharge plates, and 6 ultrasonic partial discharge plates, and each partial discharge plate can be connected to 2 local discharge signals. Therefore, the partial discharge monitoring system can monitor 6 paths of ultrahigh frequency partial discharge signals, 6 paths of high frequency partial discharge signals and 12 paths of ultrasonic partial discharge signals. Each partial discharge hardware circuit board comprises a front-end signal conditioning module, a data acquisition module, a data processing module, a data transmission module and the like. And a 5V switching power supply is used for supplying power to the high-frequency acquisition processing module.
The data acquisition and processing assembly performs data interaction with the central cloud server through the communication module, and in the embodiment, the communication module is a CAN communication bus.
The central cloud server acquires evaluation data stored by the cloud edge acquisition processor, aggregates the evaluation data of the power transformers to obtain evaluation indexes, acquires regional standard indexes based on the evaluation indexes of the power transformers in a region to be evaluated, acquires the power transformers with the evaluation indexes exceeding or falling below a preset threshold of the regional standard indexes as transformers to be regulated, and regulates the load of the transformers to be regulated.
The central cloud server obtains corresponding weights of the vibration signal, the current signal and the high-frequency signal, and carries out weighting and averaging on the vibration signal, the current signal and the high-frequency signal according to the weights to obtain an evaluation index.
Specifically, the obtaining formula of the evaluation index is as follows:
Si＝w1Vi+w2Ii+w3Fi
wherein S isiIs an evaluation index of the ith power transformer, w1、w2、w3Respectively vibration signal, current signal and high-frequency signal weight, ViIs the value of the vibration signal of the ith power transformer, IiIs the current signal value of the ith power transformer, FiIs the high frequency signal value of the ith power transformer.
The calculation formula of the regional standard index is as follows:
wherein the content of the first and second substances,
and (4) a regional standard index, wherein n is the total number of power transformers in the region.
In this embodiment, the vibration signal value V of the ith power transformeriA comprehensive vibration signal value obtained by weighting and averaging all vibration signal values of the power transformer and a current signal value I of the ith power transformeriThe high-frequency signal value F of the ith power transformer is the integrated current signal value obtained by weighted average of all the current signal values of the power transformersiAnd obtaining a comprehensive high-frequency signal value after weighted averaging of all high-frequency signal values of the power transformer.
When the load of the transformer to be adjusted is adjusted, acquiring a difference value between an evaluation index of the transformer to be adjusted and a regional standard index:
wherein, DeltaiThe difference value between the ith power transformer and the regional standard index,
and adjusting the load of the transformer to be adjusted to delta of the original loadi。
The above embodiments are merely examples and do not limit the scope of the present invention. These embodiments may be implemented in other various manners, and various omissions, substitutions, and changes may be made without departing from the technical spirit of the present invention.
Claims (10)
1. A health state evaluation system of a regional power grid power transformer based on cloud edge fusion is characterized by comprising a data acquisition and processing component, a communication module and a central cloud server,
the data acquisition and processing assembly comprises a plurality of cloud edge acquisition processors arranged at the power transformer in the area to be evaluated, and the cloud edge acquisition processors are used for acquiring, storing and processing evaluation data of the power transformer;
the data acquisition and processing assembly performs data interaction with the central cloud server through the communication module;
the central cloud server acquires evaluation data stored by the cloud edge acquisition processor, aggregates the evaluation data of the power transformers to obtain evaluation indexes, acquires regional standard indexes based on the evaluation indexes of the power transformers in a region to be evaluated, acquires the power transformers with the evaluation indexes exceeding or lower than a preset threshold of the regional standard indexes as transformers to be regulated, and regulates the load of the transformers to be regulated.
2. The cloud-edge-fusion-based regional power grid power transformer health status assessment system according to claim 1, wherein the assessment data comprises vibration signals, current signals and high-frequency signals.
3. The system according to claim 2, wherein the central cloud server obtains corresponding weights of the vibration signal, the current signal and the high-frequency signal, and obtains the evaluation index by weighting and averaging the vibration signal, the current signal and the high-frequency signal according to the weights.
4. The cloud-edge-fusion-based health status evaluation system for the regional power grid power transformer according to claim 3, wherein the evaluation index is obtained by the following formula:
Si＝w1Vi+w2Ii+w3Fi
wherein S isiIs an evaluation index of the ith power transformer, w1、w2、w3Respectively vibration signal, current signal and high-frequency signal weight, ViIs the value of the vibration signal of the ith power transformer, IiIs the current signal value of the ith power transformer, FiIs the high frequency signal value of the ith power transformer.
5. The system for assessing the state of health of the power transformer of the regional power grid based on cloud-edge fusion as claimed in claim 3, wherein the calculation formula of the regional standard index is as follows:
wherein the content of the first and second substances,
and (4) a regional standard index, wherein n is the total number of power transformers in the region.
6. The system according to claim 1, wherein when the load of the transformer to be regulated is regulated, a difference value between an evaluation index of the transformer to be regulated and a regional standard index is obtained:
wherein, DeltaiThe difference value between the ith power transformer and the regional standard index,
and adjusting the load of the transformer to be adjusted to delta of the original loadi。
7. The system for assessing the state of health of the power transformer of the regional power grid based on cloud-edge fusion as claimed in claim 2, wherein the cloud-edge collection processor comprises a body vibration collection processing module, a current collection processing module, and a high frequency collection processing module,
the device body vibration acquisition processing module is used for acquiring, processing and storing a vibration signal of the power transformer;
the current acquisition processing module is used for acquiring, processing and storing a current signal of the power transformer;
the high-frequency acquisition processing module is used for acquiring, processing and storing the high-frequency signals of the power transformer.
8. The cloud-edge-fusion-based health status evaluation system for the regional power grid power transformer according to claim 1, wherein the device body vibration acquisition processing module comprises a device body vibration sampling submodule, a load current sampling submodule, a load voltage sampling submodule, a vibration signal collector and a vibration acquisition processor,
the transformer body vibration sampling submodule is used for sampling a transformer body vibration signal of the power transformer;
the load current sampling submodule is used for sampling a load current signal of the power transformer;
the load voltage sampling submodule is used for sampling a load voltage signal of the power transformer;
the vibration signal collector is used for collecting a vibration signal of the body and sending the vibration signal to the vibration collection processor;
the vibration acquisition processor is used for acquiring a body vibration signal, a load current signal and a load voltage signal, processing the signals and sending the signals to the central cloud server through the communication module.
9. The cloud-edge-fusion-based health status evaluation system for the regional power grid power transformer according to claim 1, wherein the current collection processing module comprises a plurality of current sampling sub-modules, a current signal collector and a current signal processor,
the current sampling submodule is used for sampling a current signal of the power transformer;
the current signal collector collects current signals and sends the current signals to the current collection processor;
the current acquisition processor is used for acquiring a body vibration signal, a load current signal and a load voltage signal, processing the signals and sending the signals to the central cloud server through the communication module.
10. The cloud-edge-fusion-based health status assessment system for regional power grid power transformers according to claim 1, wherein the high-frequency acquisition processing module comprises an ultrahigh-frequency sensor, a high-frequency sensor, an ultrasonic sensor, an ultrahigh-frequency module, a high-frequency module and an ultrasonic module,
the ultrahigh frequency sensor is used for sampling ultrahigh frequency signals of the power transformer, and the ultrahigh frequency module comprises a plurality of ultrahigh frequency local discharge plates and is used for collecting, processing and storing the ultrahigh frequency signals acquired by the ultrahigh frequency sensor;
the high-frequency module comprises a plurality of high-frequency local discharge plates and is used for collecting, processing and storing the high-frequency signals acquired by the high-frequency sensor;
the ultrasonic sensor is used for sampling ultrasonic signals of the power transformer, and the ultrasonic module comprises a plurality of ultrasonic local discharge plates and is used for collecting, processing and storing the ultrasonic signals acquired by the ultrasonic sensor.
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