CN118068140A - Partial discharge monitoring system and method - Google Patents
Partial discharge monitoring system and method Download PDFInfo
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- CN118068140A CN118068140A CN202410206767.3A CN202410206767A CN118068140A CN 118068140 A CN118068140 A CN 118068140A CN 202410206767 A CN202410206767 A CN 202410206767A CN 118068140 A CN118068140 A CN 118068140A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
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Abstract
The invention relates to a partial discharge monitoring system and method. The partial discharge monitoring system includes: wireless communication means for providing a wireless communication network; the local discharge detection device is connected with the electrical equipment, and is used for detecting a local discharge signal of the electrical equipment by using a pulse current method, preprocessing the local discharge signal based on the state of the electrical equipment to obtain a preprocessed local discharge signal, and uploading the preprocessed local discharge signal by using a wireless communication network; the data computing platform is in communication connection with the partial discharge detection device through a wireless communication network, receives the preprocessed partial discharge signal through the wireless communication network, analyzes the preprocessed partial discharge signal, obtains an analysis result, stores the preprocessed partial discharge signal and the analysis result, and sends out a corresponding alarm signal based on the analysis result. The partial discharge monitoring method is applied to the partial discharge monitoring system. The invention is easy to deploy and implement, can rapidly acquire and analyze data in real time, and improves the processing efficiency and the analysis effect.
Description
Technical Field
The invention belongs to the field of fault detection of electrical equipment, and particularly relates to a system and a method for monitoring partial discharge generated in the electrical equipment.
Background
In the field of medium-voltage power distribution, the insulating state of a switch cabinet in an opening and closing station is directly related to safe and reliable operation of a power distribution network. Partial discharge (PARTIAL DISCHARGE, PD) is a typical feature of a switchgear before complete breakdown of the switchgear due to failure, so that accident can be effectively avoided by performing partial discharge monitoring.
At present, an off-line monitoring scheme and a traditional on-line monitoring scheme are often adopted for monitoring partial discharge, and the defects are that:
(1) The offline detection scheme needs to be implemented in the state of external power failure, so that the user power consumption is affected;
(2) The traditional online monitoring scheme needs to deploy communication cables, and is difficult to deploy and install for the built switching station;
(3) The traditional monitoring system needs to collect data and analyze the data through indirect methods such as sound, light, electromagnetism and the like to regenerate a report, the process needs time, and the data has the defects of hysteresis and incapability of timely reflecting real-time conditions;
(4) The traditional UHF, AE, TEV monitoring systems are easy to be interfered by environment, background noise and the like, and false alarm or missing alarm possibly exists, so that the accuracy of data is affected, and the accuracy of the data is not high;
(5) The traditional monitoring system has poor data processing capability, and can not process high-efficiency data in face of massive data, so that analysis effect is affected.
In order to overcome the weaknesses that off-line detection needs to be performed on external power failure and a traditional on-line monitoring scheme cannot be deployed and installed, the scheme is based on the technology of the Internet of things, and provides a totally new real-time wireless monitoring for realizing partial discharge and diagnosis based on AI calculation.
Disclosure of Invention
The invention aims to provide a partial discharge monitoring system which is easy to deploy and implement, can rapidly acquire and analyze data in real time, rapidly feed back information, and reduce false alarm and missing report, thereby improving the processing efficiency and the analysis effect.
In order to achieve the above purpose, the invention adopts the following technical scheme:
A partial discharge monitoring system for partial discharge monitoring of an electrical device, the partial discharge monitoring system comprising:
a wireless communication device for providing a wireless communication network;
The local discharge detection device is connected with the electrical equipment, and is used for detecting a local discharge signal of the electrical equipment by using a pulse current method, preprocessing the local discharge signal based on the state of the electrical equipment to obtain a preprocessed local discharge signal, and uploading the preprocessed local discharge signal by using the wireless communication network;
The data computing platform is in communication connection with the partial discharge detection device through the wireless communication network, receives the preprocessed partial discharge signal through the wireless communication network, analyzes the preprocessed partial discharge signal, obtains an analysis result, stores the preprocessed partial discharge signal and the analysis result, and sends out a corresponding alarm signal based on the analysis result.
The partial discharge detection device preprocesses the partial discharge signal based on impedance characteristics, switch opening and closing states and crosstalk states of the electrical equipment.
The local discharge detection device comprises a detection module for detecting a local discharge signal of the electrical equipment by using a pulse current method, a local data processing module for preprocessing the local discharge signal based on the state of the electrical equipment to obtain the preprocessed local discharge signal, and a local communication module which is in communication connection with the wireless communication device and is used for uploading the preprocessed local discharge signal; the detection module and the local communication module are respectively connected with the local data processing module.
The wireless communication device adopts a Zigbee communication mode.
The data computing platform comprises a background communication module which is in communication connection with the wireless communication device and receives the preprocessed partial discharge signal by utilizing the wireless communication network, a background data processing module which is used for analyzing the preprocessed partial discharge signal and obtaining the analysis result, a storage module which is used for storing the preprocessed partial discharge signal and the analysis result, and an alarm module which is used for sending out a corresponding alarm signal based on the analysis result; the background communication module, the storage module and the alarm module are respectively connected with the background data processing module.
And the background data processing module analyzes the current pre-processed partial discharge signal based on the history data of the pre-processed partial discharge signal stored in the storage module and obtains the analysis result.
The invention also provides a partial discharge monitoring method with high treatment efficiency and accurate analysis effect, which adopts the scheme that:
the partial discharge monitoring method is applied to the partial discharge monitoring system, and comprises the following steps of:
Step 1: the partial discharge detection device is used for detecting a partial discharge signal of the electrical equipment by using a pulse current method, preprocessing the partial discharge signal based on the state of the electrical equipment to obtain a preprocessed partial discharge signal, and uploading the preprocessed partial discharge signal by using the wireless communication network;
step 2: adopting the wireless communication device to wirelessly transmit the preprocessed partial discharge signal;
Step 3: the data computing platform is adopted, the wireless communication network is utilized to receive the preprocessed partial discharge signals, the preprocessed partial discharge signals are analyzed, analysis results are obtained, the preprocessed partial discharge signals and the analysis results are stored, and corresponding alarm signals are sent out based on the analysis results.
In the step 1, the partial discharge detection device performs preprocessing on the partial discharge signal based on impedance characteristics, switch opening and closing states and crosstalk states of the electrical equipment.
In the step 3, the data computing platform analyzes the current pre-processed partial discharge signal based on the historical data of the pre-processed partial discharge signal and obtains the analysis result.
In the step 3, the data computing platform analyzes the current pre-processed partial discharge signal to perform partial discharge positioning.
Due to the application of the technical scheme, compared with the prior art, the invention has the following advantages: the invention is easy to deploy and implement, can rapidly acquire and analyze data in real time, rapidly feed back information, reduce false alarm and missing report, and improve processing efficiency and analysis effect.
Drawings
Fig. 1 is a schematic block diagram of a partial discharge monitoring system of the present invention.
Detailed Description
The invention will be further described with reference to examples of embodiments shown in the drawings.
Embodiment one: as shown in fig. 1, a partial discharge monitoring system for performing partial discharge monitoring on electrical equipment comprises a wireless communication device, a partial discharge detection device and a data computing platform.
The wireless communication device is used for providing a wireless communication network so as to enable wireless communication between the partial discharge detection device and the data computing platform to transmit data and signals. The wireless communication device can adopt a Zigbee communication mode, and is wireless communication equipment meeting network security requirements.
The partial discharge detection device is arranged in the switching station and is connected with the electrical equipment to be monitored. The partial discharge detection device detects a partial discharge signal of an electrical device by using a pulse current method, performs preprocessing on the partial discharge signal based on the state of the electrical device to obtain a preprocessed partial discharge signal, and uploads the preprocessed partial discharge signal by using a wireless communication network. The partial discharge detection device comprises a detection module for detecting a partial discharge signal of the electrical equipment by using a pulse current method, a local data processing module for preprocessing the partial discharge signal based on the state of the electrical equipment to obtain a preprocessed partial discharge signal, and a local communication module which is in communication connection with the wireless communication device and is used for uploading the preprocessed partial discharge signal. The detection module and the local communication module are respectively connected with the local data processing module.
The data computing platform is in communication connection with the partial discharge detection device through a wireless communication network, and can be an edge platform, a cloud platform or a distributed computing platform. The data computing platform receives the preprocessed partial discharge signals by utilizing a wireless communication network, analyzes the preprocessed partial discharge signals and obtains analysis results, stores the preprocessed partial discharge signals and the analysis results, and sends corresponding alarm signals based on the analysis results. The data computing platform comprises a background communication module which is in communication connection with the wireless communication device and receives the preprocessed partial discharge signals by utilizing a wireless communication network, a background data processing module which is used for analyzing the preprocessed partial discharge signals and obtaining analysis results, a storage module which is used for storing the preprocessed partial discharge signals and the analysis results, and an alarm module which is used for sending out corresponding alarm signals based on the analysis results. The background communication module, the storage module and the alarm module are respectively connected with the background data processing module. The background data processing module analyzes the current pre-processed partial discharge signal based on the history data of the pre-processed partial discharge signal stored in the storage module and obtains an analysis result.
For the partial discharge detection device, the pulse current method adopted is the only partial discharge detection method with international standard, and in this embodiment, the information such as apparent discharge amount, discharge frequency and PD phase is obtained by measuring the change of the impedance at the coupling capacitor side caused by the pulse current due to the partial discharge. After the partial discharge signal is detected by the device, the device is operated to obtain key information of the partial discharge signal such as a partial discharge average value, a repetition rate, a repeated maximum partial discharge value, a background noise level, a partial discharge phase and the like, and the partial discharge signal is further preprocessed based on the state of the electrical equipment.
In the partial discharge detection device, namely, a local data processing module, a partial discharge signal is preprocessed based on impedance characteristics, a switch opening and closing state and a crosstalk state of electrical equipment.
The switching equipment in the distribution network is composed of multiple components, and comprises a circuit breaker, a current transformer, a lightning arrester, a sleeve, a medium-voltage cable terminal, a bus and the like. The PD signal propagation process in the device is therefore affected by a number of factors, such as component structure, geometry, dielectric constant of the insulating material. The impedance characteristics of the components have a significant impact on the propagation of the partial discharge signal, and in particular the multi-component connection will complicate the analysis. The impedance of each component will have an effect on the rest of the system and the current transformers and fuses will have a significant attenuation of the partial discharge signal propagating through them. Therefore, it can be determined how to perform the preprocessing of the correction property on the partial discharge signal according to the impedance characteristic of the electrical device through a plurality of experiments.
In an actual distribution network switching station, a plurality of switching devices are usually connected in parallel on one medium-voltage bus. The influence of different opening and closing states of the switch on the PD signal propagation process is considered respectively, and multiple experiments are carried out to determine how to carry out preprocessing of correction property on the partial discharge signal according to the opening and closing states of the switch of the electrical equipment.
In partial discharge on-line monitoring, one of the most common noise is so-called "crosstalk", i.e. a partial discharge signal from another phase measured in the measured phase, for example, a partial discharge occurring in the a-phase is transmitted to the B-phase and monitored. High frequency signals propagate through parasitic capacitances, which are determined by the geometry of the component and its clearance from other components or ground. This phenomenon can be observed in each distribution device, and can be used for advanced analysis by using data from different phase or partial discharge monitoring devices, for example, signal distortion caused by different propagation paths can be used for separating crosstalk partial discharge signals, crosstalk identification can be realized by carrying out proper phase shift analysis on the separated partial discharge signals, and crosstalk signals can be removed to better identify the position of a partial discharge signal source, so that a more accurate partial discharge positioning result can be provided. Thus, the partial discharge signal is preprocessed for its correction properties based on an analysis of the crosstalk states.
Based on the impedance characteristic, the switch opening and closing state and the crosstalk state of the electrical equipment, a correction coefficient K used for correcting the partial discharge signal can be obtained in an integrated mode, the partial discharge signal can be corrected conveniently and rapidly by using the correction coefficient K stored in the partial discharge detection device, the preprocessed partial discharge signal can be obtained, meanwhile, the value of the partial discharge signal in dB recorded by the partial discharge detection device is converted into the value of the partial discharge signal in pC, and key information of the partial discharge average value, the repetition rate, the repeated maximum partial discharge value, the background noise level, the partial discharge phase and the like is uploaded together.
For the data computing platform, based on an AI core algorithm, feature extraction and pattern recognition are performed on the signals to confirm whether the signals are partial discharge signals or not, and positioning and recognition are performed on the signals. The historical data of the partial discharge signals can be used for better monitoring the partial discharge level in the transformer substation, distinguishing the type of the partial discharge and evaluating the severity of the partial discharge fault, namely, the normal or abnormal state of equipment in the transformer substation is distinguished by continuously monitoring the partial discharge change in the period of each day, each month and each quarter, so that real-time monitoring and judging processing are realized. When the partial discharge signal is monitored, an alarm is automatically sent out to inform related personnel to process, and the data stored on the data calculation platform provides data support for active operation and maintenance work of the transformer substation.
In addition, the partial discharge detection device is also connected with an environment temperature and humidity monitoring signal with high correlation degree with partial discharge in a wireless communication mode.
Embodiment two: the partial discharge monitoring method applied to the partial discharge monitoring system of the first embodiment includes the following steps:
Step 1: the method comprises the steps of adopting a partial discharge detection device, detecting a partial discharge signal of the electrical equipment by using a pulse current method, preprocessing the partial discharge signal based on the state of the electrical equipment to obtain a preprocessed partial discharge signal, and uploading the preprocessed partial discharge signal by using a wireless communication network. In this step, the partial discharge detection device performs preprocessing on the partial discharge signal based on the impedance characteristics, the switch opening/closing state, and the crosstalk state of the electrical device.
Step 2: and adopting a wireless communication device to wirelessly transmit the preprocessed partial discharge signal.
Step 3: the method comprises the steps of adopting a data computing platform, receiving the preprocessed partial discharge signals by using a wireless communication network, analyzing the preprocessed partial discharge signals and obtaining analysis results, storing the preprocessed partial discharge signals and the analysis results, and sending corresponding alarm signals based on the analysis results. In the step, the data computing platform analyzes the current pre-processed partial discharge signal based on the history data of the pre-processed partial discharge signal and obtains an analysis result. The data computing platform also analyzes the current preprocessed partial discharge signals to perform partial discharge positioning.
According to the scheme, the real-time monitoring of the partial discharge signals of the electrical equipment can be realized, the detection accuracy can be improved, the anti-interference capacity and the data storage and processing capacity can be improved, the communication cable can be prevented from being installed in the transformer substation by adopting a wireless transmission mode, the on-site deployment and debugging work is simplified, the running cost is reduced, the remote monitoring and management can be realized through a network, and the real-time monitoring and management of the running condition of the transformer substation by a manager are facilitated. In summary, the partial discharge monitoring system suitable for the medium-voltage transformer substation has the characteristics of real-time monitoring, high precision, intelligence, remote monitoring, data storage and analysis, strong anti-interference capability and the like, can effectively improve the safety and reliability of the transformer substation, and has important application value.
The above embodiments are provided to illustrate the technical concept and features of the present invention and are intended to enable those skilled in the art to understand the content of the present invention and implement the same, and are not intended to limit the scope of the present invention. All equivalent changes or modifications made in accordance with the spirit of the present invention should be construed to be included in the scope of the present invention.
Claims (10)
1. The utility model provides a partial discharge monitoring system for carry out partial discharge monitoring to electrical equipment, its characterized in that: the partial discharge monitoring system includes:
a wireless communication device for providing a wireless communication network;
The local discharge detection device is connected with the electrical equipment, and is used for detecting a local discharge signal of the electrical equipment by using a pulse current method, preprocessing the local discharge signal based on the state of the electrical equipment to obtain a preprocessed local discharge signal, and uploading the preprocessed local discharge signal by using the wireless communication network;
The data computing platform is in communication connection with the partial discharge detection device through the wireless communication network, receives the preprocessed partial discharge signal through the wireless communication network, analyzes the preprocessed partial discharge signal, obtains an analysis result, stores the preprocessed partial discharge signal and the analysis result, and sends out a corresponding alarm signal based on the analysis result.
2. The partial discharge monitoring system of claim 1, wherein: the partial discharge detection device preprocesses the partial discharge signal based on impedance characteristics, switch opening and closing states and crosstalk states of the electrical equipment.
3. The partial discharge monitoring system of claim 1, wherein: the local discharge detection device comprises a detection module for detecting a local discharge signal of the electrical equipment by using a pulse current method, a local data processing module for preprocessing the local discharge signal based on the state of the electrical equipment to obtain the preprocessed local discharge signal, and a local communication module which is in communication connection with the wireless communication device and is used for uploading the preprocessed local discharge signal; the detection module and the local communication module are respectively connected with the local data processing module.
4. The partial discharge monitoring system of claim 1, wherein: the wireless communication device adopts a Zigbee communication mode.
5. The partial discharge monitoring system of claim 1, wherein: the data computing platform comprises a background communication module which is in communication connection with the wireless communication device and receives the preprocessed partial discharge signal by utilizing the wireless communication network, a background data processing module which is used for analyzing the preprocessed partial discharge signal and obtaining the analysis result, a storage module which is used for storing the preprocessed partial discharge signal and the analysis result, and an alarm module which is used for sending out a corresponding alarm signal based on the analysis result; the background communication module, the storage module and the alarm module are respectively connected with the background data processing module.
6. The partial discharge monitoring system of claim 5, wherein: and the background data processing module analyzes the current pre-processed partial discharge signal based on the history data of the pre-processed partial discharge signal stored in the storage module and obtains the analysis result.
7. A partial discharge monitoring method applied to the partial discharge monitoring system as claimed in claim 1, wherein: the partial discharge monitoring method comprises the following steps:
Step 1: the partial discharge detection device is used for detecting a partial discharge signal of the electrical equipment by using a pulse current method, preprocessing the partial discharge signal based on the state of the electrical equipment to obtain a preprocessed partial discharge signal, and uploading the preprocessed partial discharge signal by using the wireless communication network;
step 2: adopting the wireless communication device to wirelessly transmit the preprocessed partial discharge signal;
Step 3: the data computing platform is adopted, the wireless communication network is utilized to receive the preprocessed partial discharge signals, the preprocessed partial discharge signals are analyzed, analysis results are obtained, the preprocessed partial discharge signals and the analysis results are stored, and corresponding alarm signals are sent out based on the analysis results.
8. The partial discharge monitoring method of claim 7, wherein: in the step 1, the partial discharge detection device performs preprocessing on the partial discharge signal based on impedance characteristics, switch opening and closing states and crosstalk states of the electrical equipment.
9. The partial discharge monitoring method of claim 7, wherein: in the step 3, the data computing platform analyzes the current pre-processed partial discharge signal based on the historical data of the pre-processed partial discharge signal and obtains the analysis result.
10. The partial discharge monitoring method of claim 9, wherein: in the step 3, the data computing platform analyzes the current pre-processed partial discharge signal to perform partial discharge positioning.
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