CN113341241A - Transformer running state diagnosis method based on multiple elements - Google Patents

Transformer running state diagnosis method based on multiple elements Download PDF

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Publication number
CN113341241A
CN113341241A CN202110449093.6A CN202110449093A CN113341241A CN 113341241 A CN113341241 A CN 113341241A CN 202110449093 A CN202110449093 A CN 202110449093A CN 113341241 A CN113341241 A CN 113341241A
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transformer
current
operation state
diagnosis method
calculating
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李飞
刘兴华
岳增伟
耿宁
韩雪姣
高旭
于洋
崔川
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Zibo Power Supply Co of State Grid Shandong Electric Power Co Ltd
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Zibo Power Supply Co of State Grid Shandong Electric Power Co Ltd
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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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • 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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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Testing Electric Properties And Detecting Electric Faults (AREA)
  • Protection Of Transformers (AREA)
  • Testing Relating To Insulation (AREA)

Abstract

The invention relates to a transformer running state diagnosis method based on multiple factors, and belongs to the technical field of high voltage. The method comprises the following steps: (1) detecting initial values, attention values and current values of all elements of the transformer; (2) calculating the score of each element when the transformer runs according to a diagnostic scoring formula; (3) determining a weight coefficient of each element; (4) calculating a transformer running state index according to the score and the weight coefficient of each element; (5) and judging the current running state of the transformer through the running state index of the transformer. The invention can realize the cross-correlation evaluation of the key characteristic state quantity of the transformer, provide scientific and effective reference basis for operation and maintenance personnel, effectively prevent latent faults and ensure the safe and reliable operation of a power system.

Description

Transformer running state diagnosis method based on multiple elements
Technical Field
The invention relates to a transformer running state diagnosis method based on multiple factors, and belongs to the technical field of high voltage.
Background
The power transformer is a key core device of a power system, once a serious fault occurs and an accident is caused, the power system is possibly crashed, and the operation safety and the power supply reliability of a power grid are seriously influenced, so when the transformer has latent faults and suspected defects and the severity and the development trend of the transformer cannot be determined, the transformer can continuously operate with 'diseases' mostly, and waits for maintenance or strives for time for a spare transformer. Therefore, in this period, real-time monitoring of the transformer running with a fault is urgently needed to analyze and diagnose the real running state of the transformer, and a diagnosis method of the running state of the transformer is urgently needed to be developed so as to meet the technical requirement of safe and reliable running of the current power system.
Disclosure of Invention
According to the defects in the prior art, the problems to be solved by the invention are as follows: the multi-element-based transformer operation state diagnosis method can realize the cross-correlation evaluation of the key characteristic state quantity of the transformer, provide scientific and effective reference basis for operation and maintenance personnel, effectively prevent latent faults from occurring and ensure the safe and reliable operation of a power system.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the multi-element-based transformer operation state diagnosis method comprises the following steps of:
(1) detecting initial values, attention values and current values of all elements of the transformer;
(2) calculating the score of each element when the transformer runs according to a diagnostic scoring formula;
if the smaller and better index is, calculating by adopting a halving ladder scoring formula (1), wherein the formula is as follows:
Figure BDA0003037947820000011
if the index is larger and better, the index is calculated by adopting a half-step-rising scoring formula (2), wherein the calculation formula is as follows:
Figure BDA0003037947820000012
wherein a represents an initial value, b represents an attention value, and x represents a current value;
(3) determining a weight coefficient of each element;
(4) calculating a transformer operation state index according to a formula (3) according to the score and the weight coefficient of each element;
the transformer operation state index ═ sigma each element score weight coefficient (3)
(6) And judging the current running state of the transformer through the running state index of the transformer.
Further preferably, the weight coefficient of each element is calculated by an AHP method, which specifically comprises the following steps:
(1) constructing a discrimination matrix B;
(2) calculating the product of each row element of the judgment matrix B:
Figure BDA0003037947820000021
(3) calculating the square root value of n of each row Mi:
Figure BDA0003037947820000022
(4) will vector (w)1，w2，…，wn) The normalization is carried out, and the normalization is carried out,
Figure BDA0003037947820000023
Wii.e. the weight coefficient value of each element to be determined.
Further preferably, the detected factors include load factor, temperature, core grounding current, oil gas, partial discharge and vibration.
Further preferably, the current value of the load factor is obtained by calculating through detecting the load current of the transformer by the current sensor I.
Preferably, the current temperature value is detected by a plurality of infrared temperature sensors, and the infrared temperature sensors are respectively used for detecting the top oil temperature, the bottom oil temperature and the winding temperature of the transformer.
Further preferably, the current value of the core grounding current is detected by a current sensor II.
Further preferably, the present values of hydrocarbons are detected using non-dispersive infrared technology (NDIR) based hydrocarbon monitoring equipment capable of detecting the present values of hydrogen, carbon monoxide, acetylene, trace water, carbon dioxide, methane, ethylene, ethane, oxygen, and nitrogen.
Preferably, the current value of the partial discharge is detected by matching a high frequency sensor (HFCT), an ultrasonic sensor and a UHF sensor, the high frequency sensor (HFCT) is clamped on the iron core grounding wire, the ultrasonic sensor is adsorbed on the shell of the transformer, and the UHF sensor is implanted inside the transformer through an oil drain valve of the transformer.
Further preferably, the current value of the vibration is detected by a vibration sensor, and the vibration sensor is mounted on the surface of the transformer to obtain a vibration signal of the transformer.
The invention has the beneficial effects that:
the multi-element-based transformer running state diagnosis method diagnoses the characteristic state of multi-state quantity interaction by monitoring the key characteristic state quantity (load rate, temperature, iron core grounding current, oil gas, local discharge, vibration and the like) of the power transformer, realizes the interactive correlation evaluation of the key characteristic state quantity of the power transformer, and can judge latent faults of the transformer according to the change trend of the state quantity, thereby locking the fault type of the power transformer in time, forming a state evaluation diagnosis result, providing scientific and effective reference basis for operation and maintenance personnel, facilitating the operation and maintenance personnel to make reasonable maintenance plans, and effectively preventing the occurrence of the latent faults.
Drawings
FIG. 1 is a schematic framework of the present invention;
Detailed Description
Embodiments of the invention are further described below with reference to the accompanying drawings:
as shown in fig. 1, the method for diagnosing the operating state of the multi-element based transformer according to the present invention includes the following steps:
(1) detecting initial values, attention values and current values of factors such as the load factor, the temperature, the grounding current of an iron core, oil gas, local discharge, vibration and the like of the transformer;
the initial values of all elements of the transformer are determined according to relevant test data of equipment delivery tests and handover tests and are used as a reference; the attention value of each element of the transformer is determined according to related test data of the transformer to be overhauled or can be determined according to the experience of operation and maintenance personnel; the current values of the transformer elements need to be detected, calculated and determined in real time in the normal operation state.
The current value of the load factor is obtained by calculating the load current of the transformer through the detection of the current sensor I.
The current value of the temperature is detected by infrared temperature measuring sensors which are arranged in a plurality and respectively detect the top oil temperature, the bottom oil temperature and the winding temperature of the transformer. In the temperature elements, the weight of the top layer oil temperature, the bottom layer oil temperature and the winding temperature is the same.
And the current value of the iron core grounding current is detected by the current sensor II.
The present values of oil and gas are detected using oil and gas sensors based on non-dispersive infrared technology (NDIR), which are capable of detecting the present values of hydrogen, carbon monoxide, acetylene, trace water, carbon dioxide, methane, ethylene, ethane, oxygen, and nitrogen. In the oil and gas elements, the weight occupied by each parameter is the same.
The current value of partial discharge is detected by adopting the matching of a high frequency sensor (HFCT), an ultrasonic sensor and a UHF sensor, the high frequency sensor (HFCT) is clamped on an iron core grounding wire, the ultrasonic sensor is adsorbed on the shell of the transformer, and the UHF sensor is implanted into the transformer through an oil drain valve of the transformer. In the elements of the partial discharge, the weight occupied by the measurement parameter of each sensor is the same.
And detecting the current value of the vibration by adopting a vibration sensor, and installing the vibration sensor on the surface of the transformer to obtain a vibration signal of the transformer.
(2) After the initial value, the attention value and the current value of each element are determined, the score of each element during the operation of the transformer is calculated according to a diagnostic scoring formula;
if the smaller and better index is, calculating by adopting a halving ladder scoring formula (1), wherein the formula is as follows:
Figure BDA0003037947820000041
if the index is larger and better, the index is calculated by adopting a half-step-rising scoring formula (2), wherein the calculation formula is as follows:
Figure BDA0003037947820000042
wherein a represents an initial value, b represents an attention value, and x represents a current value;
(3) determining a weight coefficient of each element; calculating the weight coefficient of each element by adopting an AHP method, solving a matrix arrangement vector by adopting a sorting principle, and calculating the weight coefficient of each element; the method comprises the following specific steps:
a. constructing a discrimination matrix B;
element(s) b1 b2 b3 ... bn
b1 1 1/5 1/5 ... 1/3
b2 5 1 1/2 ... 1/4
b3 5 2 1 ... 2
... ... ... ... ... ...
bn 3 4 1/2 ... 1
Where b12 ═ 1/5 indicates that index b1 is less important than index b 2. The scale definition table is as follows:
Figure BDA0003037947820000051
b. calculating the product of each row element of the judgment matrix B:
Figure BDA0003037947820000052
c. calculating the square root value of n of each row Mi:
Figure BDA0003037947820000053
d. will vector (w)1，w2，…，wn) The normalization is carried out, and the normalization is carried out,
Figure BDA0003037947820000054
Wii.e. the weight coefficient value of each element to be determined.
(4) Calculating a transformer operation state index according to a formula (3) according to the score and the weight coefficient of each element;
the transformer operation state index ═ sigma each element score weight coefficient (3)
(5) And judging the current running state of the transformer through the running state index of the transformer. The rating criteria for the operating state of the transformer are as follows:
scoring 0-20 21-40 41-60 61-85 86-100
Status rating E D C B A
Maintenance state Immediately arrange for service Overhaul as soon as possible Prioritizing servicing Good effect Is excellent in
The invention realizes the interactive correlation evaluation of the key characteristic state quantity of the power transformer, and can judge the latent fault of the transformer according to the state quantity change trend, thereby locking the fault type of the power transformer in time, forming a state evaluation diagnosis result, providing scientific and effective reference for operation and maintenance personnel, facilitating the operation and maintenance personnel to make a reasonable maintenance plan, effectively preventing the occurrence of latent fault and ensuring the safe and reliable operation of a power system.
The present invention is not limited to the above-described embodiments, and variations, modifications, additions and substitutions which are within the spirit of the invention and the scope of the invention may be made by those of ordinary skill in the art are also within the scope of the invention.

Claims (9)

1. A multi-element-based transformer operation state diagnosis method is characterized by comprising the following steps:
(1) detecting initial values, attention values and current values of all elements of the transformer;
(2) calculating the score of each element when the transformer runs according to a diagnostic scoring formula;
if the smaller and better index is, calculating by adopting a halving ladder scoring formula (1), wherein the formula is as follows:
Figure FDA0003037947810000011
if the index is larger and better, the index is calculated by adopting a half-step-rising scoring formula (2), wherein the calculation formula is as follows:
Figure FDA0003037947810000012
wherein a represents an initial value, b represents an attention value, and x represents a current value;
(3) determining a weight coefficient of each element;
(4) calculating a transformer operation state index according to a formula (3) according to the score and the weight coefficient of each element;
the transformer operation state index ═ sigma each element score weight coefficient (3)
(5) And judging the current running state of the transformer through the running state index of the transformer.
2. The multi-element based transformer operation state diagnosis method according to claim 1, wherein: the weight coefficient of each element is calculated by adopting an AHP method, and the specific steps are as follows:
(1) constructing a discrimination matrix B;
(2) calculating the product of each row element of the judgment matrix B:
Figure FDA0003037947810000013
(3) calculating the square root value of n of each row Mi:
Figure FDA0003037947810000014
(4) will vector (w)1,w2,…,wn) The normalization is carried out, and the normalization is carried out,
Figure FDA0003037947810000015
Wii.e. the weight coefficient value of each element to be determined.
3. The multi-element based transformer operation state diagnosis method according to claim 1, wherein: the detected factors comprise load factor, temperature, iron core grounding current, oil gas, local discharge and vibration.
4. The multi-element based transformer operation state diagnosis method according to claim 3, wherein: the current value of the load factor is obtained by calculating the load current of the transformer through the detection of the current sensor I.
5. The multi-element based transformer operation state diagnosis method according to claim 3, wherein: the current value of the temperature is detected by infrared temperature measuring sensors which are arranged in a plurality and respectively detect the top oil temperature, the bottom oil temperature and the winding temperature of the transformer.
6. The multi-element based transformer operation state diagnosis method according to claim 3, wherein: and the current value of the iron core grounding current is detected by a current sensor II.
7. The multi-element based transformer operation state diagnosis method according to claim 3, wherein: the current value of the oil gas is detected by oil gas monitoring equipment based on non-dispersive infrared technology (NDIR), and the current values of hydrogen, carbon monoxide, acetylene, micro-water, carbon dioxide, methane, ethylene, ethane, oxygen and nitrogen can be detected.
8. The multi-element based transformer operation state diagnosis method according to claim 3, wherein: the current value of the partial discharge is detected by adopting the matching of a high frequency sensor (HFCT), an ultrasonic sensor and a UHF sensor, the high frequency sensor (HFCT) is clamped on an iron core grounding wire, the ultrasonic sensor is adsorbed on a shell of the transformer, and the UHF sensor is implanted into the transformer through an oil drain valve of the transformer.
9. The multi-element based transformer operation state diagnosis method according to claim 3, wherein: and detecting the current value of the vibration by adopting a vibration sensor, and installing the vibration sensor on the surface of the transformer to obtain a vibration signal of the transformer.
CN202110449093.6A 2021-04-25 2021-04-25 Transformer running state diagnosis method based on multiple elements Pending CN113341241A (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102759670A (en) * 2011-12-31 2012-10-31 重庆大学 Method for evaluating operation state of dry type transformer
CN102778633A (en) * 2012-08-07 2012-11-14 绍兴电力局 Method for selecting vibration sensitive area of power transformer tank surface winding
CN103605881A (en) * 2013-10-25 2014-02-26 南昌大学 Fault tree and analytic hierarchy process based evaluation method of state of power transformer
CN107064758A (en) * 2017-04-18 2017-08-18 江西明正变电设备有限公司 A kind of dry-type transformer on-Line Monitor Device and monitoring method
CN110503305A (en) * 2019-07-25 2019-11-26 西安理工大学 A kind of transformer performance appraisal procedure
CN110689234A (en) * 2019-09-05 2020-01-14 国家电网有限公司 Power transformer state evaluation method based on multi-source data fusion
CN111080072A (en) * 2019-11-21 2020-04-28 广州供电局有限公司 Distribution transformer health index evaluation method, device and system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102759670A (en) * 2011-12-31 2012-10-31 重庆大学 Method for evaluating operation state of dry type transformer
CN102778633A (en) * 2012-08-07 2012-11-14 绍兴电力局 Method for selecting vibration sensitive area of power transformer tank surface winding
CN103605881A (en) * 2013-10-25 2014-02-26 南昌大学 Fault tree and analytic hierarchy process based evaluation method of state of power transformer
CN107064758A (en) * 2017-04-18 2017-08-18 江西明正变电设备有限公司 A kind of dry-type transformer on-Line Monitor Device and monitoring method
CN110503305A (en) * 2019-07-25 2019-11-26 西安理工大学 A kind of transformer performance appraisal procedure
CN110689234A (en) * 2019-09-05 2020-01-14 国家电网有限公司 Power transformer state evaluation method based on multi-source data fusion
CN111080072A (en) * 2019-11-21 2020-04-28 广州供电局有限公司 Distribution transformer health index evaluation method, device and system

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