CN109581267A - A kind of high-voltage shunt reactor state evaluating method based on extension method - Google Patents
A kind of high-voltage shunt reactor state evaluating method based on extension method Download PDFInfo
- Publication number
- CN109581267A CN109581267A CN201811397442.9A CN201811397442A CN109581267A CN 109581267 A CN109581267 A CN 109581267A CN 201811397442 A CN201811397442 A CN 201811397442A CN 109581267 A CN109581267 A CN 109581267A
- Authority
- CN
- China
- Prior art keywords
- reactor
- data
- correlation function
- value
- status assessment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/02—Testing or calibrating of apparatus covered by the other groups of this subclass of auxiliary devices, e.g. of instrument transformers according to prescribed transformation ratio, phase angle, or wattage rating
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Housings And Mounting Of Transformers (AREA)
Abstract
The present invention proposes a kind of high-voltage shunt reactor state evaluating method based on extension method, comprising the following steps: S1: obtaining reactor data, the data include test data and operation data;S2: reactor status assessment index correlation function is established;S3: reactor status assessment index correlation function solves correlation function value, establishes state grade, determines reactor state and Strategies of Maintenance from now on.The basic thought of present invention combination Region place value, the characteristics of negative value can be taken using correlation function, so that judging that things belongs to the degree of certain set more comprehensively and fining according to the characterizing magnitudes of things.Matter-element theory method can overcome in fuzzy evaluation, be subordinate to different grades of degree of membership it is close when, evaluate the problem of being easy failure, and can use less shunt reactor parameter and correctly assessed, the economy of this method is presented, suitable for engineering practice.Also have the advantages that calculate simply and intuitively simultaneously.
Description
Technical field
The present invention relates to Fault Diagnosis for Electrical Equipment and status assessment fields more particularly to a kind of based on extension method
High-voltage shunt reactor state evaluating method.
Background technique
Overhaul of the equipments is the important component of production management work, and advanced maintenance model is to raising equipment healthy water
Flat, guarantee equipment safe and reliable operation is of great significance.With the promotion of the increase of grid equipment quantity, manufacture level with
And the needs of construction smart grid, the management service of power equipment is gradually from the preventative maintenance based on the time cycle to being directed to
Property stronger Maintenance Mode transition, and determining equipment state is to implement core and the basis of repair based on condition of component.High-voltage parallel electricity
Anti- device is the emphasis for implementing repair based on condition of component as the hub device of electric system and the key node of operation of power networks.
Traditional status assessment method mainly includes fuzzy comprehensive evaluation method, Gray System Method etc..Fuzzy mathematics method
Due to the selection of division, the critical point of its state grade, all none perfect standards such as foundation of membership function exist not
Evitable subjectivity, affects practical application effect.Gray System Method is disadvantageous in that the determination of resolution ratio does not have
One reasonable standard, it is difficult to objective evaluation reactor state.
Summary of the invention
To solve the above problems, the present invention proposes a kind of high-voltage shunt reactor status assessment side based on extension method
Method standardizes, the use state of comprehensive judgement high-voltage shunt reactor of fining.
Technical solution: the present invention proposes a kind of high-voltage shunt reactor state evaluating method based on extension method, packet
Include following steps:
S1: reactor data are obtained, the data include test data and operation data;
S2: reactor status assessment index correlation function is established;
S3: reactor status assessment index correlation function solves correlation function value, establishes state grade, determines reactor shape
State and Strategies of Maintenance from now on.
Further, the step S1 obtains total in the volume fraction, oil that reactor test data includes oil dissolved gas
Hydrocarbon is with respect to factor of created gase, winding casing tube dielectric loss factor;The volume fraction of the oil dissolved gas includes acetylene body in oil
Fraction, hydrogen volume score and total hydrocarbon volume fraction;The step S1 obtain reactor operation data include reactor load,
Oil temperature, extraordinary noise, insulation resistance, polarization index and tank temperature.
Further, reactor status assessment index correlation function is established in the step S2 specific step is as follows: described
The control parameter section of the one of data of reactor is X0=[a, b], the absolute rating section of the data are X=[c, d], andThe arbitrary value x and X of the data0Between=[a, b] away from being
The arbitrary value x and X=[c, d] of the reactor data away from being
Then x is about section X and X0The position of the nest of intervals of composition is
When the optimal value of the reactor dataX and section X0About x0Left side away from are as follows:
When the optimal value of the reactor dataX and section X0About x0Right side away from are as follows:
Then reactor status assessment index correlation function is
Wherein K (x) is correlation function value.
The utility model has the advantages that the basic thought of present invention combination Region place value, the characteristics of negative value can be taken using correlation function, make
According to the characterizing magnitudes of things judge things belong to certain set degree more comprehensively and refine.Matter-element theory method can
Overcome in fuzzy evaluation, be subordinate to different grades of degree of membership it is close when, evaluate the problem of being easy failure, and can use less
Shunt reactor parameter is correctly assessed, and the economy of this method is presented, suitable for engineering practice.Also have simultaneously
Calculate simply and intuitively advantage.
Detailed description of the invention
Fig. 1 is logical flow chart of the invention.
Specific embodiment
The present invention provides a kind of high-voltage shunt reactor state evaluating method based on extension method, specific logic flow
Journey is shown in Fig. 1, the described method comprises the following steps:
S1: reactor data are obtained, the data include test data and operation data.The test data includes in oil
Total hydrocarbon is with respect to factor of created gase, winding casing tube dielectric loss factor in the volume fraction of dissolved gas, oil;The oil dissolved gas
Volume fraction include oil in acetylene volume fraction, hydrogen volume score and total hydrocarbon volume fraction;The operation data includes electricity
Anti- device load, oil temperature, extraordinary noise, insulation resistance, polarization index and tank temperature.
S2: reactor status assessment index correlation function is established, the specific steps are as follows: the one of data of reactor
Control parameter section be X0=[a, b], the absolute rating section of the data are X=[c, d], andWherein control ginseng
Number interval is also referred to as Classical field, and domain is also referred to as saved in absolute rating section.The arbitrary value x and X of the data0Between=[a, b] away from
It is
The arbitrary value x and X=[c, d] of the reactor data away from being
Then x is about section X and X0The position of the nest of intervals of composition is
When the optimal value of the reactor dataX and section X0About x0Left side away from are as follows:
When the optimal value of the reactor dataX and section X0About x0Right side away from are as follows:
Then reactor status assessment index correlation function is
Wherein K (x) is correlation function value.
S3: reactor status assessment index correlation function solves correlation function value, establishes state grade, determines reactor shape
State and Strategies of Maintenance from now on.
By taking insulating oil breakdown voltage as an example, high-voltage shunt reactor status assessment is carried out.It is 220kV's for voltage class
Reactor, the breakdown voltage limiting value of insulating oil is 35kV in operation, need to be aroused attention when breakdown voltage reaches 40kV.To new
The voltage class to put into operation is 220kV reactor, and insulating oil breakdown voltage is generally in 40kV to 70kV.Therefore, insulating oil is hit
Voltage test index is worn, control parameter section is [40,70], and absolute rating control interval is [35,70].
Because insulating oil breakdown voltage is the bigger the better, therefore enable x0=70, then any one insulating oil breakdown voltage value x and area
Between X0With X away from as follows by formula (1) and formula (2) calculating:
By formula (3), insulating oil breakdown voltage value x is about section X0Position with the nest of intervals of X composition is
Because of x0=70 in section X0Right side, therefore away from formula (4) on the right side of use:
ρ(x,x0,X0)=40-x
Obtaining insulating oil breakdown voltage correlation function by formula (5) is
If existing 4 different insulation oil samples, breakdown voltage value 30,35,55,70, calculate separately its correlation function value
It is as follows:
K (30)=- 2, K (35)=- 1, K (55)=0.5, K (70)=1
Breakdown voltage value is within the scope of the quantitative change as defined in the regulation greater than 40kV, and correlation function value is positive, and breakdown voltage
Value is bigger, and correlation function value is higher, shows that the state of insulating oil is better;When breakdown voltage value reaches 40kV, correlation function value
It is 0, insulation oil condition reaches from quantitative change mutation to 0 boundary of qualitative change;Again down, correlation function value enters negative domain, and thus index is anti-
The insulation oil nature reflected has influenced the performance of normal function, correlation function value reach -1 correspond to it is minimum specified in regulation
It has been lost it is required that representing insulating oil performance, and performance deterioration is more serious, correlation function value is more negative.Work as in practical application
In, it is x that above-mentioned analytic process, which defines optimal value,0, therefore correlation function value is maximized 1 here;There is measured value if it exists
The case where greater than 70kV, then directly enabling its correlation function value is 1.
When breakdown voltage value reaches 55kV, K (55)=0.5, reactor state of insulation are as follows: normal, quantity of state is in just
Within the scope of normal quantitative change, it can operate normally.
According to correlation function value, insulating oil breakdown voltage shape grade is established, determines reactor state and maintenance from now on
Strategy, as shown in table 1:
The relationship of table 1 correlation function value and state grade
Correlation function value | State grade | Strategies of Maintenance |
0.5~1 | Normally | Quantity of state is within the scope of normal quantitative change, can be operated normally |
0~0.5 | Pay attention to | Quantity of state may continue to run from quantitative change to qualitative development, but should reinforce monitoring |
- 1~0 | It is abnormal | Failure has been likely that there are, and should pay close attention to simultaneously arrange to overhaul in due course |
Less than -1 | Seriously | Failure is existing, needs maintenance down |
Table 2 is Classical field and the section domain of reactor test data and operation data.It similarly, can be in the hope of the pass of other indexs
Connection function solves correlation function value, establishes state grade, determines reactor state and Strategies of Maintenance from now on.
The Classical field of 2 reactor test data of table and operation data and section domain
Claims (3)
1. a kind of high-voltage shunt reactor state evaluating method based on extension method, it is characterised in that the following steps are included:
S1: reactor data are obtained, the data include test data and operation data;
S2: reactor status assessment index correlation function is established;
S3: reactor status assessment index correlation function solves correlation function value, establishes state grade, determine reactor state with
And Strategies of Maintenance from now on.
2. a kind of high-voltage shunt reactor state evaluating method based on extension method according to claim 1, special
Sign is: the step S1 obtains that the volume fraction that reactor test data includes oil dissolved gas, total hydrocarbon is opposite in oil produces
Gas rate, winding casing tube dielectric loss factor;The volume fraction of the oil dissolved gas includes acetylene volume fraction, hydrogen in oil
Gas fraction and total hydrocarbon volume fraction;It includes reactor load, oil temperature, exception that the step S1, which obtains reactor operation data,
Noise, insulation resistance, polarization index and tank temperature.
3. a kind of high-voltage shunt reactor state evaluating method based on extension method according to claim 2, special
Sign is: reactor status assessment index correlation function is established in the step S2, and specific step is as follows: the reactor its
In a data control parameter section be X0=[a, b], the absolute rating section of the data are X=[c, d], and
The arbitrary value x and X of the data0Between=[a, b] away from being
The arbitrary value x and X=[c, d] of the reactor data away from being
Then x is about section X and X0The position of the nest of intervals of composition is
When the optimal value of the reactor dataX and section X0About x0Left side away from are as follows:
When the optimal value of the reactor dataX and section X0About x0Right side away from are as follows:
Then reactor status assessment index correlation function is
Wherein K (x) is correlation function value.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811397442.9A CN109581267A (en) | 2018-11-22 | 2018-11-22 | A kind of high-voltage shunt reactor state evaluating method based on extension method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811397442.9A CN109581267A (en) | 2018-11-22 | 2018-11-22 | A kind of high-voltage shunt reactor state evaluating method based on extension method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109581267A true CN109581267A (en) | 2019-04-05 |
Family
ID=65923726
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811397442.9A Pending CN109581267A (en) | 2018-11-22 | 2018-11-22 | A kind of high-voltage shunt reactor state evaluating method based on extension method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109581267A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109945977A (en) * | 2019-04-08 | 2019-06-28 | 华北电力大学(保定) | A kind of dry-type transformer thermal fault detection method and system |
CN110470925A (en) * | 2019-07-12 | 2019-11-19 | 浙江零跑科技有限公司 | A kind of electrical drive power assembly reliability test method based on extension dependent function |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101251564A (en) * | 2008-04-08 | 2008-08-27 | 昆明理工大学 | Method for diagnosis failure of power transformer using extendible horticulture and inelegance collection theory |
CN102289590A (en) * | 2011-08-18 | 2011-12-21 | 沈阳工业大学 | Method for estimating operating state of SF6 high-voltage circuit breaker and intelligent system |
JP2015127027A (en) * | 2013-12-27 | 2015-07-09 | 川崎重工業株式会社 | Operation mode calculating device and water treatment system comprising it |
CN107330590A (en) * | 2017-06-19 | 2017-11-07 | 华北电力大学 | A kind of nuclear plant safety postitallation evaluation method based on Information Entropy and matter element extension method |
-
2018
- 2018-11-22 CN CN201811397442.9A patent/CN109581267A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101251564A (en) * | 2008-04-08 | 2008-08-27 | 昆明理工大学 | Method for diagnosis failure of power transformer using extendible horticulture and inelegance collection theory |
CN102289590A (en) * | 2011-08-18 | 2011-12-21 | 沈阳工业大学 | Method for estimating operating state of SF6 high-voltage circuit breaker and intelligent system |
JP2015127027A (en) * | 2013-12-27 | 2015-07-09 | 川崎重工業株式会社 | Operation mode calculating device and water treatment system comprising it |
CN107330590A (en) * | 2017-06-19 | 2017-11-07 | 华北电力大学 | A kind of nuclear plant safety postitallation evaluation method based on Information Entropy and matter element extension method |
Non-Patent Citations (2)
Title |
---|
王涛云等: ""基于可拓分析和熵值法的GIS状态评估"", 《电力系统保护与控制》 * |
阮羚等: ""人工神经网络和信息融合技术在变压器状态评估中的应用"", 《高电压技术》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109945977A (en) * | 2019-04-08 | 2019-06-28 | 华北电力大学(保定) | A kind of dry-type transformer thermal fault detection method and system |
CN109945977B (en) * | 2019-04-08 | 2020-10-30 | 华北电力大学(保定) | Thermal fault diagnosis method and system for dry-type transformer |
CN110470925A (en) * | 2019-07-12 | 2019-11-19 | 浙江零跑科技有限公司 | A kind of electrical drive power assembly reliability test method based on extension dependent function |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103576050B (en) | A kind of running status appraisal procedure of capacitance type potential transformer | |
CN102621421B (en) | Transformer state evaluation method based on correlation analysis and variable weight coefficients | |
CN103778575B (en) | Transformer state evaluation method and system | |
CN103617568B (en) | Setting method for abnormal data determination threshold in steady-state power quality early-warning mechanism | |
CN107633354B (en) | Comprehensive evaluation method for running state health degree of station direct current system | |
CN103605881A (en) | Fault tree and analytic hierarchy process based evaluation method of state of power transformer | |
CN101246569A (en) | Electric network energy quality synthetic appraisement method based on analytic hierarchy process and fuzzy algorithm | |
CN109490726A (en) | Electric power transformer insulated state evaluating method based on Clouds theory | |
CN110503305B (en) | Transformer performance evaluation method | |
CN109188082A (en) | A kind of Transformer condition evaluation based on BP neural network | |
CN112116276B (en) | Substation operation risk assessment method considering time-varying state of electric main equipment | |
CN109581267A (en) | A kind of high-voltage shunt reactor state evaluating method based on extension method | |
CN106327081B (en) | Distribution network project reliability benefit evaluation method based on life cycle | |
CN104316803A (en) | Power transformer state evaluation method and system based on electriferous detection | |
CN109060021A (en) | A kind of reactor health state evaluation method based on bayesian theory | |
CN111552925A (en) | Method for constructing comprehensive evaluation index system of alternating current-direct current hybrid power distribution network | |
CN113205260A (en) | Electric automobile charging pile health state assessment method based on digital twins | |
Zhang et al. | Research on variable weight synthesizing model for transformer condition assessment | |
Hong et al. | Transformer risk assessment model under condition based maintenance | |
Xiaodong et al. | Big data evaluation method of transformer based on association rules and fuzzy variable weight model | |
Li et al. | Nonparametric kernel density estimation model of transformer health based on dissolved gases in oil | |
Yang et al. | Research on transformer condition evaluation based on oil chromatography differentiation threshold | |
Ma et al. | Electric Energy Meter State Management System Based on Index Analysis System | |
Qi et al. | Condition Assessment of Valve-side Bushing of Converter Transformer Based on Extension Theory | |
Xie et al. | Large power transformer condition evaluation based on multilevel extension theory |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190405 |
|
RJ01 | Rejection of invention patent application after publication |