CN114264981B - Regional power grid power transformer health state evaluation system based on cloud edge fusion - Google Patents
Regional power grid power transformer health state evaluation system based on cloud edge fusion Download PDFInfo
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Abstract
The invention relates to a regional power grid power transformer health state evaluation system 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 a power transformer; the data acquisition processing component performs data interaction with the central cloud server through the communication module; the central cloud server acquires an area standard index based on an evaluation index of a power transformer in an area to be evaluated, acquires the power transformer with the evaluation index exceeding or being lower than an area standard index preset threshold value as a transformer to be adjusted, and adjusts the load of the transformer to be adjusted. Compared with the prior art, the method and the device can further improve the reliability and the accuracy of evaluation and the energy conservation and synergy of the power transformer.
Description
Technical Field
The invention relates to the field of transformer evaluation, in particular to a regional power grid power transformer health state evaluation system based on cloud edge fusion.
Background
The transformer running state evaluation technology commonly used at the present stage mainly comprises four types, namely a fuzzy mathematic technology, an expert system technology, a neural network technology and a genetic algorithm technology. In addition to this, the development of "cloud" technology has received widespread attention. And in the power transformer health assessment, an information fusion analysis technology is utilized, a thermal aging and health index model is related and analyzed, and power transformer health assessment software is developed under a cloud platform. The feasibility of theory is verified by adopting information of key state quantity, but actual network hanging operation is not performed yet by actual application effect. The problems of ambiguity and randomness exist in the evaluation state quantity aiming at the health state evaluation of the distribution transformer. In addition, the distribution transformer health state index coverage selected by the existing evaluation method is not comprehensive enough, and the research on the power transformer health state evaluation technology is limited to the data of one machine, and has limitation and inaccuracy.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a regional power grid power transformer health state evaluation system based on cloud-edge fusion.
The aim of the invention can be achieved by the following technical scheme:
the regional power grid power transformer health state evaluation system based on cloud edge fusion comprises a data acquisition processing component, a communication module and a central cloud server,
The data acquisition processing assembly comprises a plurality of cloud edge acquisition processors which are arranged at the power transformer in the region to be evaluated, and the cloud edge acquisition processors are used for acquiring, storing and processing the evaluation data of the power transformer;
The data acquisition processing component performs data interaction with the central cloud server through the communication module;
The central cloud server acquires the 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 the region to be evaluated, acquires the power transformers with the evaluation indexes exceeding or lower than the regional standard indexes by a preset threshold value as transformers to be regulated, and regulates the load of the transformers to be regulated.
Preferably, the evaluation data includes a vibration signal, a current signal, and a high frequency signal.
Preferably, the central cloud server acquires corresponding weights of the vibration signal, the current signal and the high-frequency signal, and weights and averages the vibration signal, the current signal and the high-frequency signal according to the weights to acquire the evaluation index.
Preferably, the evaluation index is obtained by the following formula:
Si＝w1Vi+w2Ii+w3Fi
Wherein S i is an evaluation index of the ith power transformer, w 1、w2、w3 is a vibration signal, a current signal and a high-frequency signal weight, V i is a vibration signal value of the ith power transformer, I i is a current signal value of the ith power transformer, and F i is a high-frequency signal value of the ith power transformer.
Preferably, the calculation formula of the area standard index is:
wherein, And (3) an area standard index, wherein n is the total number of power transformers in the area.
Preferably, when the load of the transformer to be regulated is regulated, a difference value between the evaluation index and the area standard index of the transformer to be regulated is obtained:
Wherein delta i is the difference value between the ith power transformer and the regional standard index,
And adjusting the load of the transformer to be adjusted to delta i of the original load.
Preferably, the cloud edge collecting processor comprises a body vibration collecting and processing module, a current collecting and processing module and a high-frequency collecting and processing module,
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 current signals 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 body vibration acquisition processing module comprises a body vibration sampling sub-module, a load current sampling sub-module, a load voltage sampling sub-module, a vibration signal acquisition device and a vibration acquisition processor,
The body vibration sampling submodule is used for sampling body vibration signals 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 vibration signals of the collector body and sending the vibration signals to the vibration collecting processor;
The vibration acquisition processor is used for acquiring vibration signals, load current signals and load voltage signals of the body, processing the signals and sending the signals to the central cloud server through the communication module.
Preferably, the current acquisition 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 collecting processor;
the current acquisition processor is used for acquiring a vibration signal, a load current signal and a load voltage signal of the body, processing the signals and sending the signals to the central cloud server through the communication module.
Preferably, the high-frequency acquisition and 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 the ultrahigh frequency signals of the power transformer, and the ultrahigh frequency module comprises a plurality of ultrahigh frequency partial discharge plates and is used for collecting, processing and storing the ultrahigh frequency signals acquired by the ultrahigh frequency sensor;
The high-frequency sensor is used for sampling high-frequency signals of the power transformer, and the high-frequency module comprises a plurality of high-frequency partial 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 partial 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 used as monitoring evaluation objects, the cloud edge technology is reasonably applied from the perspective of improving the health status monitoring and energy management of the plurality of power transformers, and the multi-dimensional sensing data provided by the edge-oriented key storage and processing terminal equipment is processed and uploaded to the cloud by combining with the multi-source information fusion technology, and the cloud center fuses the data and applies the multi-dimensional analysis of big data.
2) According to the invention, a plurality of power transformers are monitored, wherein each power transformer and a corresponding cloud edge acquisition processor can be regarded as edges, edge data are preprocessed and then uploaded to a central cloud server, then the central cloud server performs data fusion according to the data transmitted by the edges, the health state of the power transformers is evaluated, the power transformers with deviation larger than a threshold value from the regional standard index are taken as transformers to be adjusted based on regional standard indexes in a big data acquisition region of the plurality of power transformers, and corresponding adjustment is performed, so that the reliability and the accuracy of the evaluation and the energy conservation and efficiency improvement of the power transformers are further improved.
3) According to the invention, whether the indexes of the health state of the power transformers meet the requirements or not is evaluated according to the data monitored by the power transformers of the regional power grid, and the established power transformer health state evaluation index system is more perfect, and the evaluation indexes are diversified, such as high-frequency pulse current, ultrasonic wave and ultrahigh-frequency electromagnetic wave, transformer vibration signals, load voltage, load current, fan oil pump current, temperature and humidity and the like, so that the evaluation accuracy and reliability are high, the adjustment effect on the power transformers is good, and the normal operation of the power transformers in the region is ensured.
Drawings
FIG. 1 is a schematic diagram of the structure of the present invention;
FIG. 2 is a schematic diagram of a vibration acquisition processing module of a body according to the present invention;
Fig. 3 is a schematic structural diagram of a high-frequency acquisition processing module according to the present invention.
Detailed Description
The invention will now be described in detail with reference to the drawings and specific examples. Note that the following description of the embodiments is merely an example, and the present invention is not intended to be limited to the applications and uses thereof, and is not intended to be limited to the following embodiments.
Examples
A regional power grid power transformer health state evaluation system based on cloud edge fusion is shown in fig. 1, and comprises a data acquisition processing component, a communication module and a central cloud server.
In this embodiment, the data acquisition processing component includes a plurality of cloud edge acquisition processors disposed at the power transformer in the region to be evaluated, where the cloud edge acquisition processors are configured to acquire, store, and process evaluation data of the power transformer, and the evaluation data includes vibration signals, current signals, and high-frequency signals.
Specifically, 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 a vibration signal of the power transformer; the current acquisition processing module is used for acquiring, processing and storing current signals 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 body vibration acquisition processing module comprises a body vibration sampling sub-module, a load current sampling sub-module, a load voltage sampling sub-module, a vibration signal acquisition device and a vibration acquisition processor,
The body vibration sampling submodule is used for sampling body vibration signals 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 vibration signals of the collector body and sending the vibration signals to the vibration collecting processor;
The vibration acquisition processor is used for acquiring a vibration signal, a load current signal and a load voltage signal of the body of the collector, 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 STM32H743ZIT single-chip microcomputer, and the vibration acquisition processor uses an external expansion AD7616 as an acquisition device, and an external expansion RAM is used for signal acquisition and operation. The 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 currents and 3 paths of load voltages, 16 paths of vibration signals are collected by an AD7616, and the rest 2 paths of vibration, 3 paths of load voltages and load currents 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 submodules, a current signal collector and a current signal processor, wherein the current sampling submodules 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 collecting processor; the current acquisition processor is used for acquiring a vibration signal, a load current signal and a load voltage signal of the body of the collector, 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 neutral point electric signals, clamp grounding current signals, iron core grounding current signals, fan current signals and oil pump current signals, the current signal processor is an STM32H743ZIT singlechip, the current signal collector is an AD7616 collector, the AD7616 collector collects 16 paths of current signals, and a total of 72 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 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, wherein the ultrahigh frequency sensor is used for sampling an ultrahigh frequency signal of the power transformer, and the ultrahigh frequency module comprises a plurality of ultrahigh frequency partial discharge plates and is used for acquiring, processing and storing the ultrahigh frequency signal acquired by the ultrahigh frequency sensor; the high-frequency sensor is used for sampling high-frequency signals of the power transformer, and the high-frequency module comprises a plurality of high-frequency partial 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 partial discharge plates and is used for collecting, processing and storing the ultrasonic signals acquired by the ultrasonic sensor.
In the embodiment, the high-frequency acquisition processing module comprises 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 with 2 paths of partial 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 and processing module.
The data acquisition processing component 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 the region to be evaluated, acquires the power transformers with the evaluation indexes exceeding or lower than the regional standard indexes by a preset threshold value as transformers to be regulated, and regulates the load of the transformers to be regulated.
And the central cloud server acquires corresponding weights of the vibration signal, the current signal and the high-frequency signal, and weights the vibration signal, the current signal and the high-frequency signal according to the weights to obtain an average value so as to acquire an evaluation index.
Specifically, the acquisition formula of the evaluation index is:
Si＝w1Vi+w2Ii+w3Fi
Wherein S i is an evaluation index of the ith power transformer, w 1、w2、w3 is a vibration signal, a current signal and a high-frequency signal weight, V i is a vibration signal value of the ith power transformer, I i is a current signal value of the ith power transformer, and F i is a high-frequency signal value of the ith power transformer.
The calculation formula of the area standard index is as follows:
wherein, And (3) an area standard index, wherein n is the total number of power transformers in the area.
In this embodiment, the vibration signal value V i of the ith power transformer is a comprehensive vibration signal value obtained by weighted-averaging of the vibration signal values of the power transformer, the current signal value I i of the ith power transformer is a comprehensive current signal value obtained by weighted-averaging of the current signal values of the power transformer, and the high-frequency signal value F i of the ith power transformer is a comprehensive high-frequency signal value obtained by weighted-averaging of the high-frequency signal values of the power transformer.
When the load of the transformer to be regulated is regulated, the difference value between the evaluation index and the regional standard index of the transformer to be regulated is obtained:
Wherein delta i is the difference value between the ith power transformer and the regional standard index,
And adjusting the load of the transformer to be adjusted to delta i of the original load.
The above embodiments are merely examples, and do not limit the scope of the present invention. These embodiments may be implemented in various other ways, and various omissions, substitutions, and changes may be made without departing from the scope of the technical idea of the present invention.
Claims (4)
1. A regional power grid power transformer health state evaluation system based on cloud edge fusion is characterized by comprising a data acquisition processing component, a communication module and a central cloud server,
The data acquisition processing assembly comprises a plurality of cloud edge acquisition processors which are arranged at the power transformer in the region to be evaluated, and the cloud edge acquisition processors are used for acquiring, storing and processing the evaluation data of the power transformer;
The data acquisition processing component 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 the region to be evaluated, acquires the power transformers with the evaluation indexes exceeding or being lower than a regional standard index preset threshold value as transformers to be regulated, and regulates loads according to the difference value between the evaluation indexes of the transformers to be regulated and the regional standard indexes;
the evaluation data comprises a vibration signal, a current signal and a high-frequency signal;
The cloud edge collecting processor comprises a body vibration collecting and processing module, a current collecting and processing module and a high-frequency collecting and processing module,
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 current signals of the power transformer;
The high-frequency acquisition processing module is used for acquiring, processing and storing high-frequency signals of the power transformer;
the center cloud server obtains corresponding weights of the vibration signal, the current signal and the high-frequency signal, weights and averages the vibration signal, the current signal and the high-frequency signal according to the weights to obtain an evaluation index, and expressions of the evaluation index, the area standard index and the difference value are respectively as follows:
Si＝w1Vi+w2Ii+w3Fi
Wherein S i is an evaluation index of the ith power transformer, w 1、w2、w3 is a vibration signal, a current signal and a high-frequency signal weight, V i is a vibration signal value of the ith power transformer, I i is a current signal value of the ith power transformer, and F i is a high-frequency signal value of the ith power transformer; s is a region standard index, and n is the total number of power transformers in the region; delta i is the difference value between the ith power transformer and the regional standard index, and the load of the transformer to be regulated is regulated to be delta of the original load i.
2. The regional power grid power transformer health state evaluation system based on cloud edge fusion according to claim 1, wherein the body vibration acquisition processing module comprises a body vibration sampling sub-module, a load current sampling sub-module, a load voltage sampling sub-module, a vibration signal collector and a vibration acquisition processor,
The body vibration sampling submodule is used for sampling body vibration signals 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 vibration signals of the collector body and sending the vibration signals to the vibration collecting processor;
The vibration acquisition processor is used for acquiring vibration signals, load current signals and load voltage signals of the body, processing the signals and sending the signals to the central cloud server through the communication module.
3. The regional power grid power transformer health state evaluation system based on cloud edge fusion as claimed in claim 1, wherein the current acquisition processing module comprises a plurality of current acquisition 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 collecting processor;
the current acquisition processor is used for acquiring a vibration signal, a load current signal and a load voltage signal of the body, processing the signals and sending the signals to the central cloud server through the communication module.
4. The regional power grid power transformer health state evaluation system based on cloud edge fusion 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 the ultrahigh frequency signals of the power transformer, and the ultrahigh frequency module comprises a plurality of ultrahigh frequency partial discharge plates and is used for collecting, processing and storing the ultrahigh frequency signals acquired by the ultrahigh frequency sensor;
The high-frequency sensor is used for sampling high-frequency signals of the power transformer, and the high-frequency module comprises a plurality of high-frequency partial 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 partial discharge plates and is used for collecting, processing and storing the ultrasonic signals acquired by the ultrasonic sensor.
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