CN108897923A - A kind of method of determining tractive transformer around class index - Google Patents
A kind of method of determining tractive transformer around class index Download PDFInfo
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- CN108897923A CN108897923A CN201810591830.4A CN201810591830A CN108897923A CN 108897923 A CN108897923 A CN 108897923A CN 201810591830 A CN201810591830 A CN 201810591830A CN 108897923 A CN108897923 A CN 108897923A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
Abstract
The invention discloses a kind of determining tractive transformers around the method for class index, includes the following steps:It obtains tractive transformer related property parameter, quantitatively, according to related datas such as winding average temperature rising and load coefficients carry out recurrence calculating to around class index using winding exponential analytic model by the waiting of winding area thermal model calculating winding average temperature rising.Compared to the reference value that ieee standard is recommended, the method for the present invention quick estimation calculated that tractive transformer temperature rise of hot spot under more times of overloads is more suitable for around class index facilitates under wide in range load section more accurately to illustrate its temperature rise change.
Description
Technical field
The present invention relates to electric insulation on-line checking and fault diagnosis field, especially a kind of determining tractive transformer winding
The method of index.
Background technique
Core equipment of the tractive transformer as high-speed railway tractive power supply system, highly effective and safe run the fortune to high-speed rail
Battalion's development plays a crucial role.The working life of tractive transformer depends on built-in electrical insulation performance, and heat ageing is it
The major influence factors of insulation performance deterioration, therefore the working life of tractive transformer and its internal temperature rise are closely bound up.
It include at present that top-oil temperature rises and the general means of determination of temperature rise of hot spot are bases to inside transformer temperature rise
In IEEE and IEC standard " two-part " temperature rise calculation formula carry out, but should " two-part " Temperature Rise Model be primarily adapted for use in through
Often general oil-immersed power transformer of the work under rated condition.For tractive transformer, due to the spy in train operation
Different operating condition causes tractive transformer operating load to have the characteristics that amplitude abrupt change, constant interval are wide in range and fluctuation is larger, this will
The calculating error for directly resulting in " two-part " Temperature Rise Model increases, and declines to the monitoring accuracy of tractive transformer internal temperature.
Summary of the invention
The purpose of the present invention is to propose to a kind of determining tractive transformers around the method for class index, and this method considers transformer
Around calculated value of the class index under more times of overloads so that its be more suitable for having the tractive transformer in wide in range load section around
The calculating of group temperature rise of hot spot.
Realize that the technical solution of the object of the invention is as follows:
A kind of determining tractive transformer around class index method, including
Step 1:The average temperature gradient g computation model for enabling the tractive transformer winding is:
In formula, grFor winding average temperature gradient under nominal load;M is around class index, for describing winding mean temperature
Gradient with load variation tendency;IpuFor load factor, TwFor winding mean temperature, TtopFor top-oil temperature, TbomFor bottom
Oil temperature;
Step 2:Regression estimates are carried out to winding exponent m using double-log linear regression model (LRM), it is as follows:
ln(g/gr)=2mln (Ipu)
In formula, Y=ln (g/g is enabledr), X=ln (Ipu);
Using least squares identification parameter m, i.e.,:
In formula,J is number of samples, and i is label;
Wherein, the winding mean temperature Tw, top-oil temperature TtopWith bottom oil temperature TbomAcquiring method, including
Step 1:Obtain the tractive transformer structure transitivity parameter, including Cool Hot Core high potential difference Δ h, winding height
hw, radiator height hr, the vertical oil duct thermal-hydraulic diameter D of windingw, radiator oil duct thermal-hydraulic diameter Dr, oily specific heat capacity
coil, air specific heat capacity cair, oil density ρoil, atmospheric density ρair, oily thermal expansion coefficient βoil, winding frictional resistant coefficient fw、
Radiator frictional resistant coefficient fr, radiator overall heat-transfer coefficient U, winding surface coefficient of heat transfer uw, winding area circulation area Aw、
Radiator circulation area Ar, the effective heat dissipation area A of radiatorR, winding and oil stream circumferencial direction contact surface area As, temperature difference index
λ, environment temperature Tamb;
Step 2:Simultaneous following formula and condition iteratively solve winding area oil stream volume using Newton-Raphson method
Flow Gw, radiator oil stream volume flow Gr, top-oil temperature Ttop, bottom oil temperature TbomWith winding mean temperature Tw;The traction
Inside transformer is single cycle, Gw=Gr;
1) thermal buoyancy effect under limit in the vertical oil duct of winding and fluid resistance reach balance, as follows:
In formula, gaFor acceleration of gravity, S is cooling cycle area,
S=Δ h (Ttop-Tbom)+hr[Ttop-Tbom-ΔTlm-0.5(Ttop-Tamb)],
Wherein, Δ TlmFor the logarithmic mean temperature difference (LMTD) of oil stream in radiator and outside air,
2) winding generates load loss Q when stable statewEqual to the heat that oil stream around it absorbs, i.e.,
Qw=ρoilcoilGw(Ttop-Tbom);
3) along the heat of the outside Convention diffusion in its surface, i.e., the heat that oil stream absorbs around winding is equal to coil
4) oil circulation reaches final stable state, in radiator oily relative atmospheric temperature rise be
Toil-Tair=Ce-λh,
In formula, Toil、TairRespectively along the oil stream temperature and air themperature of radiator short transverse h;C be bottom oil temperature and
The difference of environment temperature;
Winding load loss QwThe heat of generation will all be transmitted to outside air by oil stream, i.e.,
Qw=UAR(Toil-Tair)=UARCe-λh;
Wherein,Qw,RIt is lost for the nominal load of the tractive transformer;
5) environment temperature when normal atmosphere pressure tractive transformer operation is selected as reference temperature.
The beneficial effects of the present invention are propose a kind of more times of tractive transformer based on double-log linear regression function
Winding index Analytic Calculation Method under overload calculates gained and is more suitable for the traction with wide in range load section around class index
The calculating of coiling hot point of transformer temperature rise, compared to the reference value that ieee standard is recommended, this method improves coiling hotspot temperature
The computational accuracy risen, has the following advantages that:
1) it when obtaining tractive transformer winding average temperature data, is based primarily upon the conservation of energy and the conservation of momentum is counted
It calculates, the limitation of non-loaded coefficient;
2) more times of load sections be can choose around the calculating of class index, it is contemplated that the traction voltage transformation with wide in range part throttle characteristics
The special operation condition of device, compared to general power transformer, value is more suitable for the coiling hotspot temperature rise meter of tractive transformer
It calculates;
3) the winding index that this method can be used for the tractive transformer of different structure calculates, and has certain universality.
Detailed description of the invention
Fig. 1 is flow chart of the invention.
Specific embodiment
Invention is further explained below.
Tractive transformer dependency structure transitivity parameter known to the first step, acquisition:
Cool Hot Core high potential difference Δ h, winding height hw, radiator height hr, the vertical oil duct thermal-hydraulic diameter D of windingw, dissipate
Hot device oil duct thermal-hydraulic diameter Dr, oily specific heat capacity coil, air specific heat capacity cair, oil density ρoil, atmospheric density ρair, oil heat
Coefficient of expansion βoil, winding frictional resistant coefficient fw, radiator frictional resistant coefficient fr, radiator overall heat-transfer coefficient U, winding table
Face heat transfer coefficient uw, winding area circulation area Aw, radiator circulation area Ar, the effective heat dissipation area A of radiatorR, winding with
Oil stream circumferencial direction contact surface area As, temperature difference index λ, environment temperature Tamb。
Second step solves unknown quantity undetermined, including:Winding area oil stream volume flow Gw, radiator oil stream volume flow
Gr, top-oil temperature Ttop, bottom oil temperature Tbom, winding mean temperature Tw, as follows:
1) thermal buoyancy effect under limit in the vertical oil duct of winding and fluid resistance reach balance, as shown in formula:
In formula, gaFor acceleration of gravity, S is cooling cycle area, is defined as follows:
S=Δ h (Ttop-Tbom)+hr[Ttop-Tbom-ΔTlm-0.5(Ttop-Tamb)] (2)
In formula, Δ TlmFor the logarithmic mean temperature difference (LMTD) of oil stream in radiator and outside air, it is defined as:
When inside transformer is single cycle, relational expression Gw=GrIt sets up;
2) winding generates load loss Q when stable statewEqual to the heat that oil stream oil stream around it absorbs, i.e.,:
Qw=ρoilcoilGw(Ttop-Tbom) (4)
3) heat that oil stream absorbs around winding is equal to coil along the heat of the outside Convention diffusion in its surface:
4) oil circulation reaches final stable state, oily relative atmospheric temperature rise in radiator:
Toil-Tair=Ce-λh (6)
In formula, Toil、TairRespectively along the oil stream temperature and air themperature of radiator short transverse h;C be bottom oil temperature and
Environment temperature difference;
The heat that winding loss generates will all be transmitted to outside air by oil stream:
Qw=UAR(Toil-Tair)=UARCe-λh (7)
5) environment temperature when normal atmosphere pressure tractive transformer operation is selected as reference temperature;
To sum up, in conjunction with first step known parameters, simultaneous 1) to 5) in formula and condition, utilize Newton-
Raphson method (Newton-Raphson method) iteratively solves unknown quantity:Gw、Gr、Ttop、Tbom、Tw;Simultaneously as winding loss with
Q is lost in nominal loadw,RAnd load factor IpuThere are following relationships:
It therefore, can be according to load factor IpuCalculate corresponding load loss, so solve under the load it is above-mentioned to
Solve parameter.
Third step lists winding average temperature gradient g computation model:
In formula, grFor winding average temperature gradient under nominal load;M is around class index, for describing winding mean temperature
Gradient with load variation tendency;
Regression estimates are carried out to winding exponent m using double-log linear regression model (LRM), are shown below:
ln(g/gr)=2mln (Ipu) (10)
In formula, Y=ln (g/g is enabledr), X=ln (Ipu).Using least squares identification parameter m, i.e.,:
In formula,J is number of samples, and i is label;
Second step winding average temperature data calculated and load factor are substituted into the recurrence mould in third step by the 4th step
Type finds out winding exponent m.
Claims (1)
1. a kind of determining tractive transformer is around the method for class index, which is characterized in that including
Step 1:The average temperature gradient g computation model for enabling the tractive transformer winding is:
In formula, grFor winding average temperature gradient under nominal load;M be around class index, for describe winding average temperature gradient with
The variation tendency of load;IpuFor load factor, TwFor winding mean temperature, TtopFor top-oil temperature, TbomFor bottom oil temperature;
Step 2:Regression estimates are carried out to winding exponent m using double-log linear regression model (LRM), it is as follows:
ln(g/gr)=2mln (Ipu)
In formula, Y=ln (g/g is enabledr), X=ln (Ipu);
Using least squares identification parameter m, i.e.,:
In formula,J is number of samples, and i is label;
The winding mean temperature Tw, top-oil temperature TtopWith bottom oil temperature TbomAcquiring method, including
Step 1:Obtain the tractive transformer structure transitivity parameter, including Cool Hot Core high potential difference Δ h, winding height hw, heat dissipation
Device height hr, the vertical oil duct thermal-hydraulic diameter D of windingw, radiator oil duct thermal-hydraulic diameter Dr, oily specific heat capacity coil, air
Specific heat capacity cair, oil density ρ oil, atmospheric density ρair, oil thermal expansion coefficient β oil, winding frictional resistant coefficient fw, radiator is along journey
Resistance coefficient fr, radiator overall heat-transfer coefficient U, winding surface coefficient of heat transfer uw, winding area circulation area Aw, radiator circulation
Area Ar, the effective heat dissipation area A of radiatorR, winding and oil stream circumferencial direction contact surface area As, temperature difference index λ, environment temperature
Tamb;
Step 2:Simultaneous following formula and condition iteratively solve winding area oil stream volume flow using Newton-Raphson method
Gw, radiator oil stream volume flow Gr, top-oil temperature Ttop, bottom oil temperature TbomWith winding mean temperature Tw;The traction voltage transformation
It is single cycle, G inside devicew=Gr;
1) thermal buoyancy effect under limit in the vertical oil duct of winding and fluid resistance reach balance, as follows:
In formula, gaFor acceleration of gravity, S is cooling cycle area,
S=Δ h (Ttop-Tbom)+hr[Ttop-Tbom-ΔTlm-0.5(Ttop-Tamb)],
Wherein, Δ TlmFor the logarithmic mean temperature difference (LMTD) of oil stream in radiator and outside air,
2) winding generates load loss Q when stable statewEqual to the heat that oil stream around it absorbs, i.e.,
Qw=ρoilcoilGw(Ttop-Tbom);
3) along the heat of the outside Convention diffusion in its surface, i.e., the heat that oil stream absorbs around winding is equal to coil
4) oil circulation reaches final stable state, in radiator oily relative atmospheric temperature rise be
Toil-Tair=Ce-λh,
In formula, Toil、TairRespectively along the oil stream temperature and air themperature of radiator short transverse h;C is bottom oil benign environment
The difference of temperature;
Winding load loss QwThe heat of generation will all be transmitted to outside air by oil stream, i.e.,
Qw=UAR(Toil-Tair)=UARCe-λh;
Wherein,Qw,RIt is lost for the nominal load of the tractive transformer;
5) environment temperature when normal atmosphere pressure tractive transformer operation is selected as reference temperature.
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CN113569501A (en) * | 2021-07-30 | 2021-10-29 | 西安西电变压器有限责任公司 | Method and device for determining average temperature gradient of winding and electronic equipment |
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CN113569501A (en) * | 2021-07-30 | 2021-10-29 | 西安西电变压器有限责任公司 | Method and device for determining average temperature gradient of winding and electronic equipment |
CN113569501B (en) * | 2021-07-30 | 2023-08-18 | 西安西电变压器有限责任公司 | Method and device for determining average temperature gradient of winding and electronic equipment |
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