CN106441459B - A kind of energy conservation and environmental protection electric device maintenance instrument - Google Patents
A kind of energy conservation and environmental protection electric device maintenance instrument Download PDFInfo
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- CN106441459B CN106441459B CN201611170521.7A CN201611170521A CN106441459B CN 106441459 B CN106441459 B CN 106441459B CN 201611170521 A CN201611170521 A CN 201611170521A CN 106441459 B CN106441459 B CN 106441459B
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- battery pack
- super capacitor
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- power
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- 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
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/345—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering using capacitors as storage or buffering devices
Abstract
The present invention provides a kind of energy conservation and environmental protection electric device maintenance instrument, including detector ontology, temperature inductor, humidity sensor, the detector ontology includes that detection host module and instrument board, the detection host module connect one to one with temperature inductor, humidity sensor, instrument board respectively.Beneficial effects of the present invention are：Temperature and humidity in environment can be detected, while corresponding data can be shown that structure is simple, it is easy to use.
Description
Technical field
The present invention relates to electric power testing equipment fields, and in particular to a kind of energy conservation and environmental protection electric device maintenance instrument.
Background technique
In the related technology, substation is the place for changing voltage, in order to which electrical energy transportation that power plant is issued is to farther out
Place, it is necessary to voltage is increased, high-voltage electricity is become, to user nearby voltage is reduced as needed again, this buck/boost
Work is completed by substation, and substation is in equipment such as power transformer, liquid immersed reactor, gas insulated metal enclosed swit chgear, breakers
In field-mounted process, there is higher requirement to environment, if temperature and humidity is controlled, job specfication is to relevant environment
Factor has specific quantitative requirement, and real-time on-site is needed to detect, and corresponding temperature and humidity needs different detection devices to carry out
It completes, existing detection technique is all carried out separately, not only bad for the accuracy of data, and when wasting a large amount of
Between.
In addition, electric power resource has spread to each corner, and it is also more and more frequent for the maintenance of power equipment, for
Have a power failure due to electrical equipment fault, in maintenance, then the equipment that there are many problems, such as detection, maintenance etc. needs electricity
Source, and be then difficult to continue after having a power failure.
Summary of the invention
In view of the above-mentioned problems, the present invention is intended to provide a kind of energy conservation and environmental protection electric device maintenance instrument.
The purpose of the present invention is realized using following technical scheme：
Provide a kind of energy conservation and environmental protection electric device maintenance instrument, including detector ontology, temperature inductor, humidity inductive
Device, the detector ontology include detection host module and instrument board, the detection host module respectively with temperature inductor, humidity sense
Device, instrument board is answered to connect one to one.
Beneficial effects of the present invention are：Temperature and humidity in environment can be detected, while can will be corresponding
Data are shown that structure is simple, easy to use.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is structure connection diagram of the invention；
Fig. 2 is the structure connection diagram of detector ontology of the present invention.
Appended drawing reference：
Detector ontology 1, humidity sensor 3, alarm 4, detection host module 5, instrument board 6, is answered at temperature inductor 2
Close energy-storage module 7.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, a kind of energy conservation and environmental protection electric device maintenance instrument of the present embodiment, including detector ontology 1, temperature
Inductor 2, humidity sensor 3, the detector ontology 1 include that detection host module 5 and instrument board 6, the detection host module 5 divide
It does not connect one to one with temperature inductor 2, humidity sensor 3, instrument board 6.
Preferably, which further includes the composite energy storage mould all connecting with detection host module 5 and instrument board 6
Block 7.
Preferably, which further includes the alarm 4 connecting with detection host module 5.
The above embodiment of the present invention can detect the temperature and humidity in environment, while can be by corresponding data
It being shown, structure is simple, and it is easy to use, it is additionally provided with composite energy storage module 7, can be electric device maintenance instrument after power failure
Power supply, energy conservation and environmental protection.
Preferably, the composite energy storage module 7 include super capacitor group, battery pack, two-way dc/dc converter, first switch,
Second switch, first diode and the second diode, wherein the high-voltage end of two-way dc/dc converter is connect with super capacitor group,
The low-pressure end of two-way dc/dc converter is connect with battery pack, and super capacitor group passes through first switch and first diode in parallel
It is connected with load, battery pack is connected by second switch and the second diode in parallel and load.Preferably, the two-way dc/dc
Converter be the two-way dc/dc converter of half-bridge structure, wherein super capacitor group is made of multiple supercapacitors, battery pack by
Multiple lithium battery groups at.This preferred embodiment using super capacitor group and battery pack as the component part of composite energy storage module 7,
So that composite energy storage module 7 is had the function of composite energy storage, constantly can provide power for detector ontology 1, guarantee power equipment
The normal operation of detector, energy conservation and environmental protection.
Preferably, which is the two-way dc/dc converter of half-bridge structure.
Preferably, the parameter of the super capacitor group of the composite energy storage module 7 and battery pack uses the side of parameter matching and optimization
Method selection, specifically includes：
(1) select the optimization aim of the parameter matching and optimization of composite energy storage module 7 for：The gross mass of composite energy storage module 7,
Capacity, total volume, loss, battery pack average charge-discharge magnification；
(2) select optimized variable for：Battery pack parallel connection lithium battery quantity, the power limit of battery pack；
(3) answering in the scheme of the power limit composition of each battery pack parallel connection lithium battery quantity and battery pack is calculated separately
Close the average charge-discharge magnification of the gross mass of energy-storage module 7, capacity, total volume, loss, battery pack；
(4) be set separately gross mass, capacity, total volume, loss, battery pack each parameter of average charge-discharge magnification threshold
Value, it is corresponding to the scheme of the power limit composition of the battery pack parallel connection lithium battery quantity and battery pack beyond each parameter threshold
Data are rejected；
(5) side formed when being j as the power limit value of i and battery pack is set by battery pack parallel connection lithium battery quantity value
The gross mass of the energy resource supply module 4 of case is Rij, total volume Sij, loss be Eij, battery pack average charge-discharge magnification be Fij
And the capacity of energy resource supply module 4 is Gij, wherein the value range of battery pack parallel connection lithium battery quantity is set as [2,10], if
The value range for determining the power limit of battery pack is [0,100kw], carries out nondimensionalization processing according to the following formula to remaining data：
In formula, i=2,3 ..., 10, j=0,10 ..., 100, wherein i, j neither consider the data rejected in value；
Wherein, A1ijIt indicates to RijCarrying out nondimensionalization, treated as a result, A2ijIt indicates to SijCarry out nondimensionalization processing
Afterwards as a result, A3ijIt indicates to EijCarrying out nondimensionalization, treated as a result, A4ijIt indicates to FijCarrying out nondimensionalization, treated
As a result, A5ijIt indicates to GijCarry out nondimensionalization treated result；
Wherein, min (R) is the minimum of the gross mass R of energy resource supply module 4, and min (S) is the total of energy resource supply module 4
The minimum of volume, min (E) are the minimum of the loss of energy resource supply module 4, and min (F) is being averaged for energy resource supply module 4
The minimum of charge-discharge magnification, min (G) are the minimum of the capacity of energy resource supply module 4；
(6) value optimization is carried out to the power limit of battery pack parallel connection lithium battery quantity and battery pack.
This preferred embodiment is realized in the degree of variation and interactional information for guaranteeing to retain above-mentioned 5 optimization aims
Under the premise of carry out data pretreatment and nondimensionalization processing, further ensure the super capacitor group of composite energy storage module 7
With the precision of the parameter optimization of battery pack, composite energy storage module 7 is enabled to be more efficiently detection host module 5 and instrument
Dial plate 6 provides required power, makes electric device maintenance instrument energy conservation and environmental protection.
Preferably, for realize by battery set charge/discharge power limit in a certain range, to reach raising composite energy storage
The purpose in the service life of 7 efficiency of module, extension battery pack, the composite energy storage module 7 is according to improved electrical power distribution strategy to electricity
The power of pond group and super capacitor group carries out optimum allocation, and wherein the improved electrical power distribution strategy includes：
(1) the power demand R of the load of current time δ is determineddFThe voltage U of (δ) and super capacitor groupSUP, when calculating δ+1
The prediction bearing power limit value at quarter；
(2) power distribution is carried out according to following bearing power allocation rule；
1) work as RdF(δ+1)>RdF(δ)>When 0, then currently by the electrical power of super capacitor group output 25%；
2) work as RdF(δ)>RdF(δ+1)>0 and USUP≥UTWhen, then 75% electrical power is currently exported by super capacitor group,
Wherein UTFor the voltage rating of super capacitor group；
3) work as RdF(δ+1)>0 and RdF(δ)<0 and USUP<UTWhen, then it improves and the voltage of super capacitor group is maintained to arrive
UT；
4) work as RdF(δ+1)>0 and RdF(δ)<0 and USUP≥UTWhen, then currently by super capacitor group output 10%
Electrical power；
5) work as RdF(δ+1)<0 and RdF(δ)>0 and USUP<UTWhen, then improve the power of super capacitor group output；
6) work as RdF(δ+1)<0 and RdF(δ)>0 and USUP>UTWhen, then it reduces and the voltage of super capacitor group is maintained to arrive
UT；
7) work as RdF(δ+1)<0 and RdF(δ)<0, then balance the regenerative power of current super capacitance group and battery pack.
This preferred embodiment is designed electrical power distribution strategy, has formulated bearing power allocation rule, has made to battery
The distribution of the power of group and super capacitor group is more accurate, extends the service life of battery pack, guarantees detection host module 5 and instrument
The power supply of disk 6 is broken down in terms of power supply when preventing electric device maintenance instrument from working, and ensures electric device maintenance instrument
Working efficiency when detection.
Inventor has carried out a series of tests using the present embodiment, is the experimental data tested below：
| Electric device maintenance situation | Working efficiency raising degree | Power supply failure rate |
| Power equipment continues amount detection：10 | 5% | 0% |
| Power equipment continues amount detection：20 | 6% | 0% |
| Power equipment continues amount detection：30 | 5% | 0% |
| Power equipment continues amount detection：40 | 7% | 0% |
| Power equipment continues amount detection：50 | 8% | 0% |
As another preferred embodiment, which includes：
(1) it setsFor in subsequent timePrediction bearing power limit value, XdF' for the battery that selects after parameter optimization
The power limit of group,To be likely to occur subsequent timeBearing power,For subsequent timeBearing powerThe probability of appearance determines prediction bearing power limit value according to the following formula：
1)When
2)When
(2) when the electrical power of loading demand is less than prediction bearing power limit value, electric device maintenance is provided by battery pack
The electrical power of instrument demand；When the electrical power of loading demand is more than prediction bearing power limit value, battery pack is provided within limit value
Power, the part more than prediction bearing power limit value are provided by super capacitor group.
This preferred embodiment is designed electrical power distribution strategy, is determining battery pack in the power limit of current time j
The power limit and prediction bearing power limit value for considering the battery pack selected after parameter optimization when value simultaneously, improve battery pack
The accuracy in computation of power limit keeps the distribution of the power to battery pack and super capacitor group more accurate, further increases multiple
7 efficiency of energy-storage module is closed, and extends the service life of battery pack, to ensure the working efficiency when detection of electric device maintenance instrument.
Preferably, the power limit to battery pack parallel connection lithium battery quantity and battery pack carries out value optimization, tool
Body executes：
In formula, i, j neither consider the data rejected, Q in valueijFor battery pack parallel connection lithium battery quantity value be i,
Optimal value when the power limit parameter value of battery pack is j, AkijIt indicates in { A1ij,A2ij,A3ij,A4ij,A5ijIn it is corresponding with k
Value, k=1 ..., 5；
In addition, τkFor corresponding Akij, using expert estimation method obtain weighting coefficient, ωkFor corresponding Akij, using history
Empirically determined weighting coefficient, and
Selecting final optimized variable parameter is QijWhen for minimum corresponding battery pack parallel connection lithium battery quantity value with
And the power limit value of battery pack.
This preferred embodiment optimizes choosing to the power limit parameter of battery pack parallel connection lithium battery quantity and battery pack
It selects, can more precisely optimize the selection of variable parameter, guarantee the power supply of detection host module 5 and instrument board 6
While further increase the working efficiency of composite energy storage module 7.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (2)
1. a kind of energy conservation and environmental protection electric device maintenance instrument, it is characterized in that：Including detector ontology, temperature inductor, humidity inductive
Device, the detector ontology include detection host module and instrument board, the detection host module respectively with temperature inductor, humidity sense
Device, instrument board is answered to connect one to one；The detector ontology further include with detection host module and instrument board all connect it is compound
Energy-storage module；It further include the alarm being connect with detection host module；The composite energy storage module includes super capacitor group, battery
Group, two-way dc/dc converter, first switch, second switch, first diode and the second diode, wherein two-way dc/dc is converted
The high-voltage end of device is connect with super capacitor group, and the low-pressure end of two-way dc/dc converter is connect with battery pack, and super capacitor group passes through
First switch and first diode and load in parallel connects, and battery pack passes through second switch and the second diode in parallel and negative
Carry connection；The super capacitor group of the composite energy storage module and the parameter of battery pack use the method choice of parameter matching and optimization, tool
Body includes：
(1) select the optimization aim of the parameter matching and optimization of composite energy storage module for：The gross mass of composite energy storage module, capacity,
Total volume, loss, battery pack average charge-discharge magnification；
(2) select optimized variable for：Battery pack parallel connection lithium battery quantity, the power limit of battery pack；
(3) the compound storage in the scheme of the power limit composition of each battery pack parallel connection lithium battery quantity and battery pack is calculated separately
Can the gross mass of module, capacity, total volume, loss, battery pack average charge-discharge magnification；
(4) be set separately gross mass, capacity, total volume, loss, battery pack each parameter of average charge-discharge magnification threshold value, it is right
The corresponding data of scheme of the power limit composition of the battery pack parallel connection lithium battery quantity and battery pack beyond each parameter threshold
It is rejected；
(5) scheme formed when being j as the power limit value of i and battery pack is set by battery pack parallel connection lithium battery quantity value
The gross mass of energy resource supply module is Rij, total volume Sij, loss be Eij, battery pack average charge-discharge magnification be FijAnd
The capacity of energy resource supply module is Gij, wherein the value range for setting battery pack parallel connection lithium battery quantity sets electricity as [2,10]
The value range of the power limit of pond group is [0,100kw], carries out nondimensionalization processing according to the following formula to remaining data：
In formula, i=2,3 ..., 10, j=0,10 ..., 100, wherein i, j neither consider the data rejected in value；
Wherein, A1ijIt indicates to RijCarrying out nondimensionalization, treated as a result, A2ijIt indicates to SijCarrying out nondimensionalization, treated
As a result, A3ijIt indicates to EijCarrying out nondimensionalization, treated as a result, A4ijIt indicates to FijCarry out nondimensionalization treated knot
Fruit, A5ijIt indicates to GijCarry out nondimensionalization treated result；
Wherein, min (R) is the minimum of the gross mass R of energy resource supply module, and min (S) is the total volume of energy resource supply module
Minimum, min (E) are the minimum of the loss of energy resource supply module, and min (F) is the average charge and discharge times of energy resource supply module
The minimum of rate, min (G) are the minimum of the capacity of energy resource supply module；
(6) value optimization is carried out to the power limit of battery pack parallel connection lithium battery quantity and battery pack, it is specific to execute：
In formula, i, j neither consider the data rejected, Q in valueijIt is i for battery pack parallel connection lithium battery quantity value, battery
Optimal value when the power limit parameter value of group is j, AkijIt indicates in { A1ij,A2ij,A3ij,A4ij,A5ijIn corresponding with k take
Value, k=1 ..., 5；
In addition, τkFor corresponding Akij, using expert estimation method obtain weighting coefficient, ωkFor corresponding Akij, using historical experience
Determining weighting coefficient, and
Selecting final optimized variable parameter is QijCorresponding battery pack parallel connection lithium battery quantity value and electricity when for minimum
The power limit value of pond group.
2. a kind of energy conservation and environmental protection electric device maintenance instrument according to claim 1, it is characterized in that：The composite energy storage module
Optimum allocation is carried out according to power of the improved electrical power distribution strategy to battery pack and super capacitor group；The improved electrical power
Allocation strategy includes：
(1) the power demand R of the load of current time δ is calculateddFThe voltage U of (δ) and super capacitor groupSUP, calculate+1 moment of δ
Predict bearing power limit value；
(2) power distribution is carried out according to following bearing power allocation rule；
1) work as RdF(δ+1)>RdF(δ)>When 0, then currently by the electrical power of super capacitor group output 25%；
2) work as RdF(δ)>RdF(δ+1)>0and USUP≥UTWhen, then currently by the electrical power of super capacitor group output 75%, wherein
UTFor the voltage rating of super capacitor group；
3) work as RdF(δ+1)>0and RdF(δ)<0and USUP<UTWhen, then it improves and maintains the voltage of super capacitor group to UT；
4) work as RdF(δ+1)>0and RdF(δ)<0and USUP≥UTWhen, then currently by the electrical power of super capacitor group output 10%；
5) work as RdF(δ+1)<0and RdF(δ)>0and USUP<UTWhen, then improve the power of super capacitor group output；
6) work as RdF(δ+1)<0and RdF(δ)>0and USUP>UTWhen, then it reduces and maintains the voltage of super capacitor group to UT；
7) work as RdF(δ+1)<0and RdF(δ)<0, then balance the regenerative power of current super capacitance group and battery pack.
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| CN102730189A (en) * | 2011-03-29 | 2012-10-17 | 郑鹏 | Marine flying lifesaving method and device |
| CN103336877A (en) * | 2013-07-25 | 2013-10-02 | 哈尔滨工业大学 | Satellite lithium ion battery residual life prediction system and method based on RVM (relevance vector machine) dynamic reconfiguration |
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