CN106961100A - New energy is transported to transmission system facility - Google Patents

Abstract

New energy is transported to transmission system facility, it is characterized in that, including biological energy source combustion furnace, wind electricity generating system, the first inverter, the second inverter, small-sized DC power distribution network, cylinder, generator, oily transformer, condenser, condensate pump, feed-water heater, feed pump and transformer fault diagnosis device；The biological energy source combustion furnace is heated the feedwater that feed pump is sent, and obtains entering cylinder acting after superheated steam；The output shaft of cylinder is connected with generator shaft, and the alternating current of generator output delivers to small-sized DC power distribution network after the first inverter turns into direct current；The alternating current that wind electricity generating system is produced is delivered to small-sized DC power distribution network by the second inverter；The high-pressure side of the oily transformer of port of export connection of generator, the lateral feed pump of low pressure and condensate pump power transmission of oily transformer.

Description

New energy is transported to transmission system facility

Technical field

The present invention relates to new energy field, and in particular to new energy is transported to transmission system facility.

Background technology

Generation of electricity by new energy, refers to the device generated electricity using wind energy, solar energy, biomass energy etc..Existing new energy Distribution facility is sent out, is often all single use, it is impossible to form an organic whole, this gives the use band of those skilled in the art Inconvenience is carried out.In addition, oily transformer is as equipment in the important shop with power transmission, the correct judgement of its malfunction is also Ensure the necessary requirement of whole system safe operation.

The content of the invention

Regarding to the issue above, the present invention provides a kind of new energy and is transported to transmission system facility.

The purpose of the present invention is realized using following technical scheme：

New energy is transported to transmission system facility, including biological energy source combustion furnace, wind electricity generating system, the first inverter, second Inverter, small-sized DC power distribution network, cylinder, generator, oily transformer, condenser, condensate pump, feed-water heater, feed pump With transformer fault diagnosis device；The biological energy source combustion furnace is heated the feedwater that feed pump is sent, and obtains superheated steam After enter cylinder acting；The output shaft of cylinder is connected with generator shaft, and the alternating current of generator output passes through the first inverter As delivering to small-sized DC power distribution network after direct current；The alternating current that wind electricity generating system is produced is delivered to small by the second inverter Type DC distribution net；The high-pressure side of the oily transformer of port of export connection of generator, the lateral feed pump of low pressure of oily transformer and solidifying Bear water pumping electricity；Transformer fault diagnosis device be used for oily transformer carry out fault diagnosis, it include initial module, gradient to Module, hyper parameter module, normal state module, sort module and the secondary diagnostic module of failure are measured, the initial module is specifically performed：Choosing Take H₂、CH₄、C₂H₆、C₂H₄、C₂H₂Five kinds of characteristic gas contents as vector machine classifier input feature vector variable d, and as the following formula Input feature vector variable is standardized：

Wherein, x is the input feature vector variable after standardization, d_minFor the minimum value of gas content, d_maxFor gas content Maximum, SE is the upper limit setting constant that gas content is standardized, and SP is the lower limit set constant that gas content is standardized；Choose The data of the 3 above-mentioned five kinds of characteristic gas contents of times array are used as sample data.

Beneficial effects of the present invention are：The new energy is transported to transmission system facility and sends out wind electricity generating system and biomass energy Electric installation is organically combined together, and using biomass power generation device as main generating means, and drops wind electricity generating system As standby generating means and the voltage-regulation instrument of power distribution network, examined while being provided with accurate effective oily transformer fault Disconnected device, improves the general safety performance of system.

Brief description of the drawings

Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention System, for one of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to the following drawings Other accompanying drawings.

Fig. 1 is the overall structure diagram of the present invention；

Fig. 2 is the structural representation of transformer fault diagnosis device.

Embodiment

The invention will be further described with the following Examples.

The new energy referred to as shown in Figure 1-2 is transported to transmission system facility, including biological energy source combustion furnace 1, wind power generation Device 2, the first inverter 3, the second inverter 4, small-sized DC power distribution network 5, cylinder 6, generator 7, oily transformer 8, condenser 9th, condensate pump 10, feed-water heater 11, feed pump 12 and transformer fault diagnosis device 13.

The biological energy source combustion furnace 1 is heated the feedwater that feed pump 12 is sent, and obtains entering vapour after superheated steam Cylinder 6 does work；The output shaft of cylinder 6 is connected with the axle of generator 7, and the alternating current that generator 7 is exported turns into straight by the first inverter 3 Small-sized DC power distribution network 5 is delivered to after stream electricity.The alternating current that wind electricity generating system 2 is produced is delivered to small-sized by the second inverter 4 DC distribution net 5.The high-pressure side of the oily transformer 8 of port of export connection of generator 7, the lateral feed pump 12 of low pressure of oily transformer 8 With the power transmission of condensate pump 10.

Transformer fault diagnosis device 13 is used to carry out fault diagnosis to oily transformer 8, and it includes initial module A, gradient Vector module B, hyper parameter module C, normal state module D, sort module F and the secondary diagnostic module G of failure.

(1) initial module A：Choose H₂、CH₄、C₂H₆、C₂H₄、C₂H₂Five kinds of characteristic gas contents are used as vector machine classifier Input feature vector variable d, and input feature vector variable is standardized as the following formula：

Wherein, x is the input feature vector variable after standardization, d_minFor the minimum value of gas content, d_maxFor gas content Maximum, SE is the upper limit setting constant that gas content is standardized, and SP is the lower limit set constant that gas content is standardized；Choose The data of the 3 above-mentioned five kinds of characteristic gas contents of times array are used as sample data.

As further preferred scheme, the cylinder 6 is single-cylinder, and the wind TRT 2 uses existing wind energy TRT.

(2) gradient vector module B：Set weight convergence desired value V_z, hyper parameter convergence desired value M_zAnd maximum iteration N, obtains φ (x as the following formula in sample data_n)：

Wherein, n is iteration variable, x_nFor the input feature vector variable of nth iteration, incite somebody to actionIt is named as Q Function Q (x_n,x_i), ‖ ‖ are norm sign, and PO is the function coefficients of Q functions；

Gradient vector g is calculated as follows：

Wherein,w_nFor present weight, K₀For the weight base unit weight being manually set, TE is the noise error coefficient being manually set；As n=1, w is made₁It is normal for what is be manually set Value power amount.

As further preferred scheme, the lateral low-voltage bus bar 14 of low pressure of the oily transformer 8 is powered, condensate pump 10 It is all connected to the power supply wiring of feed pump 12 on low-voltage bus bar 14.

(3) hyper parameter module C：Matrix H is calculated as follows：

Wherein, YJ=diag [1, y (1) (1-y (1)), y (2) (1-y (2)) ..., y (N) (1-y (N))], A₀Artificially to set Fixed definite value Symmetric Vector matrix, is apparent from working as n and x_nH is N+1 row N+1 column matrix when determining；

Obtain after gradient vector g and matrix H, updating current power amount is Wherein w '_nFor the power amount after renewal；

Hyper parameter is asked for as the following formulaWherein To be right Claim matrixI-th diagonal entry, i is whole less than or equal to n；For covariance, and as n=1,And ɑ_n-1=ɑ₀It is and is manually set value, covariance is using quantitative Formula covariance, i.e.,It is people's setting value.

As further preferred scheme, the exhaust of the cylinder 6 is entered to be condensed in condenser 9, after condensation Condensate is delivered to by condensate pump 10 and heated in feed-water heater 11, and the feed-water heater 11 heats for indirect heat exchange type Device.

(4) normal state module D：It is incremented by iteration variable n, until obtained w '_nAnd ɑ_nRespective desired value V is converged on respectively_z、 M_z, then output vector machine probabilistic model Z (w ' as the following formula_n|ɑ_n)：

Wherein N () is normal distyribution function.

As further preferred scheme, intergrade of the heating vapour source from cylinder 6 of the feed-water heater 11 is drawn gas, The low-voltage bus bar 14 is 380V voltage bus.

(5) sort module F：Be introduced into GB DL/T722-2000 Gases Dissolved in Transformer Oil analysis and judge in directive/guide to The gas content demand value x gone out_s, quasi- early warning TR is recorded as the following formula：

Wherein, TI is d >=x_sCumulative time, unit second；

Five kinds of characteristic gas contents to be detected are inputted into the vector machine probabilistic model, probability values P is obtained, works as TR Less than the setting value TR of quasi- early warning_SWhen, P values are updated toAs final probable value, otherwise directly Meet the probability values P that will be obtained and be used as final probable value；If obtained final probable value is more than 0.5, it is judged as normal State, is otherwise malfunction；If obtained final probable value is judged as electrical failure between 0~0.25, if Between 0.25~0.5, then it is judged as non-electrical failure；If obtained final probable value is judged as between 0~0.125 High-energy discharge failure, fault caused by low energy discharge is judged as if obtained final probable value is between 0.125~0.25；If The final probable value arrived is judged as hyperthermia and superheating failure between 0.25~0.375, then, if obtained final probable value exists Then it is judged as cryogenic overheating failure between 0.375~0.5.

As further preferred scheme, the small-sized DC power distribution network 5 is also configured with voltage controller and (not shown in figure Go out), voltage controller adjusts wind energy hair according to on-Line Voltage numerical value by detecting the on-Line Voltage of small-sized DC power distribution network 5 The reactive power of electric installation 2, and then adjust the voltage of small-sized DC power distribution network 5.

(6) the secondary diagnostic module G of failure：Probability values P is converted as the following formula and obtains secondary probable value P_k:

If obtained secondary probable value is more than 0.6, It is judged as normal condition, is otherwise malfunction；If obtained secondary probable value is between 0~0.2, it is judged as electrical event Barrier, if obtained secondary probable value is between 0.2~0.6, is judged as non-electrical failure；If obtained secondary probable value Between 0~0.13, then it is judged as high-energy discharge failure, judges if obtained secondary probable value is between 0.13~0.2 For fault caused by low energy discharge；If obtained secondary probable value is judged as hyperthermia and superheating failure between 0.2~0.4, if To secondary probable value be then judged as cryogenic overheating failure between 0.4~0.6；The event of final probable value in breakdown judge module Barrier judges and P_kBreakdown judge, be and relation, then sent when both are satisfied by corresponding failure alarm.

The diagnostic device can export diagnostic result in the form of probability, be easy to the uncertainty of problem analysis, Neng Gouyou Effect ground solves the problems, such as the diagnosis in the case of few sample data, and rate of correct diagnosis is excellent, and diagnosis speed is faster；Introduce GB transformer Dissolved gas analysis and judge the gas content demand value provided in directive/guide and transfinite amendment of the cumulative time as probability P Foundation, the error that can largely overcome gas content collection to bring is that final breakdown judge improves more reliable foundation； Simultaneously by increasing the conversion and judgement of sinusoidal probability, overcome conventional probability output and not enough smoothly easily occur asking for false alarm Topic, improves the reliability of breakdown judge..

Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than to present invention guarantor The limitation of scope is protected, although being explained with reference to preferred embodiment to the present invention, one of ordinary skill in the art should Work as understanding, technical scheme can be modified or equivalent, without departing from the reality of technical solution of the present invention Matter and scope.

Claims (6)

1. new energy is transported to transmission system facility, it is characterized in that, including biological energy source combustion furnace, wind electricity generating system, the first inversion Device, the second inverter, small-sized DC power distribution network, cylinder, generator, oily transformer, condenser, condensate pump, feed-water heater, Feed pump and transformer fault diagnosis device；The biological energy source combustion furnace is heated the feedwater that feed pump is sent, and is obtained Cylinder acting is entered after vapours；The output shaft of cylinder is connected with generator shaft, and the alternating current of generator output passes through first Inverter delivers to small-sized DC power distribution network after turning into direct current；The alternating current that wind electricity generating system is produced is defeated by the second inverter Deliver to small-sized DC power distribution network；The high-pressure side of the oily transformer of port of export connection of generator, the low pressure of oily transformer laterally feeds water Pump and condensate pump power transmission；Transformer fault diagnosis device be used for oily transformer carry out fault diagnosis, it include initial module, Gradient vector module, hyper parameter module, normal state module, sort module and the secondary diagnostic module of failure, the initial module are specific Perform：Choose H₂、CH₄、C₂H₆、C₂H₄、C₂H₂Five kinds of characteristic gas contents as vector machine classifier input feature vector variable d, and Input feature vector variable is standardized as the following formula：

$x=d\×\frac{d-d_{min}}{d_{max}-d_{min}}\×\frac{\sqrt{(SE-SP)}}{{(SP+SE)}^2},$

Wherein, x is the input feature vector variable after standardization, d_minFor the minimum value of gas content, d_maxFor the maximum of gas content Value, SE is the upper limit setting constant that gas content is standardized, and SP is the lower limit set constant that gas content is standardized；Choose 3 The data of times above-mentioned five kinds of characteristic gas contents of array are used as sample data.

2. new energy according to claim 1 is transported to transmission system facility, it is characterized in that, the cylinder is single-cylinder, institute Wind TRT is stated using existing wind electricity generating system；The gradient vector module is specifically performed：

Set weight convergence desired value V_z, hyper parameter convergence desired value M_zWith maximum iteration N, in sample data as the following formula Obtain φ (x_n)：

$\mathrm{\φ}\left(x_n\right)={\[1,\exp (-\frac{\left|\right|x_n-x_1\left|\right|}{2{\mathrm{PO}}^2}),\exp (-\frac{\left|\right|x_n-x_2\left|\right|}{2{\mathrm{PO}}^2}),...,\exp (-\frac{\left|\right|x_n-x_N\left|\right|}{2{\mathrm{PO}}^2})\]}^T$

Wherein, n is iteration variable, x_nFor the input feature vector variable of nth iteration, incite somebody to actionIt is named as Q functions Q (x_n,x_i), ‖ ‖ are norm sign, and PO is the function coefficients of Q functions；

Gradient vector g is calculated as follows：

$g=\frac{\sqrt{|t\left(n\right)-y\left(n\right)|}}{\sqrt[3]{{\mathrm{TE}}^2+{K_0}^2}}\×{\[\mathrm{\φ}\left(x_n\right)\]}^T$

Wherein, y (n)=w_n×Q(x_n,x_N)+K₀,w_nFor present weight, K₀It is manually set Weight base unit weight, TE is the noise error coefficient being manually set；As n=1, w is made₁For the constant value power amount being manually set.

3. new energy according to claim 2 is transported to transmission system facility, it is characterized in that, the low-pressure side of the oily transformer Powered to low-voltage bus bar, the power supply wiring of condensate pump and feed pump is all connected on low-voltage bus bar；The hyper parameter module tool Body is performed：

Matrix H is calculated as follows：

$H=-\sqrt{\frac{{\left(TE+1\right)}^2}{1-TE}}\×\mathrm{\φ}\left(x_n\right)\×{\[\mathrm{\φ}\left(x_n\right)\]}^T\×YJ-\sqrt{\frac{{\left(TE+1\right)}^2}{1-TE}}\×A_0$

Wherein, YJ=diag [1, y (1) (1-y (1)), y (2) (1-y (2)) ..., y (N) (1-y (N))], A₀It is manually set Definite value Symmetric Vector matrix, is apparent from working as n and x_nH is N+1 row N+1 column matrix when determining；

Obtain after gradient vector g and matrix H, updating current power amount is Wherein w '_nFor the power amount after renewal；

Hyper parameter ɑ is asked for as the following formula_n:Wherein ∑_i,i For matrixI-th diagonal entry, i is whole less than or equal to n；For covariance, and as n=1,And ɑ_n-1=ɑ₀It is and is manually set value, covariance is using fixed Amount formula covariance, i.e.,It is people's setting value.

4. new energy according to claim 3 is transported to transmission system facility, it is characterized in that, the exhaust of the cylinder is entered Condensed in condenser, the condensate after condensation is delivered in feed-water heater by condensate pump to be heated, the feedwater adds Hot device is indirect heat exchange type heater；Normal state module is specifically performed：

It is incremented by iteration variable n, until obtained w '_nAnd ɑ_nRespective desired value V is converged on respectively_z、M_z, then output vector as the following formula Machine probabilistic model Z (w '_n|ɑ_n)：

Wherein N () is normal distyribution function.

5. new energy according to claim 4 is transported to transmission system facility, it is characterized in that, the heating of the feed-water heater Intergrade of the vapour source from cylinder is drawn gas, and the low-voltage bus bar is 380V voltage bus；The small-sized DC power distribution network is also configured There is a voltage controller, voltage controller is adjusted by detecting the on-Line Voltage of small-sized DC power distribution network according to on-Line Voltage numerical value The reactive power of wind electricity generating system is saved, and then adjusts the voltage of small-sized DC power distribution network；The sort module is specifically performed：

It is introduced into the analysis of GB DL/T722-2000 Gases Dissolved in Transformer Oil and judges that the gas content provided in directive/guide notes Value x_s, quasi- early warning TR is recorded as the following formula：

Wherein, TI is d >=x_sCumulative time, unit second；

Five kinds of characteristic gas contents to be detected are inputted into the vector machine probabilistic model, probability values P are obtained, when TR is less than The setting value TR of quasi- early warning_SWhen, P values are updated toAs final probable value, otherwise directly will Obtained probability values P is as final probable value；If obtained final probable value is more than 0.5, it is judged as normal condition, Otherwise it is malfunction；If obtained final probable value is judged as electrical failure between 0~0.25, if 0.25 Between~0.5, then it is judged as non-electrical failure；If obtained final probable value is judged as high energy between 0~0.125 Discharge fault, fault caused by low energy discharge is judged as if obtained final probable value is between 0.125~0.25；If obtained Final probable value is judged as hyperthermia and superheating failure between 0.25~0.375, then, if obtained final probable value is 0.375 Then it is judged as cryogenic overheating failure between~0.5.

6. new energy according to claim 5 is transported to transmission system facility, it is characterized in that, the secondary diagnostic module of failure It is specific to perform：

Probability values P is converted as the following formula and obtains secondary probable value P_k:

If obtained secondary probable value is more than 0.6, judge It is otherwise malfunction for normal condition；If obtained secondary probable value is judged as electrical failure between 0~0.2, If obtained secondary probable value is between 0.2~0.6, it is judged as non-electrical failure；If obtained secondary probable value is 0 Between~0.13, then it is judged as high-energy discharge failure, is judged as if obtained secondary probable value is between 0.13~0.2 low Can discharge fault；If obtained secondary probable value is judged as hyperthermia and superheating failure between 0.2~0.4, if obtain Secondary probable value is then judged as cryogenic overheating failure between 0.4~0.6；The failure of final probable value is sentenced in breakdown judge module Disconnected and P_kBreakdown judge, be and relation, then sent when both are satisfied by corresponding failure alarm.