CN108512222A - A kind of intelligent substation complex automatic system - Google Patents
A kind of intelligent substation complex automatic system Download PDFInfo
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- CN108512222A CN108512222A CN201810316794.0A CN201810316794A CN108512222A CN 108512222 A CN108512222 A CN 108512222A CN 201810316794 A CN201810316794 A CN 201810316794A CN 108512222 A CN108512222 A CN 108512222A
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- 238000012544 monitoring process Methods 0.000 claims abstract description 37
- 238000005259 measurement Methods 0.000 claims abstract description 24
- 238000011084 recovery Methods 0.000 claims abstract description 7
- 239000011159 matrix material Substances 0.000 claims description 21
- 238000005070 sampling Methods 0.000 claims description 14
- 238000000034 method Methods 0.000 claims description 12
- 230000005611 electricity Effects 0.000 claims description 11
- 238000004891 communication Methods 0.000 claims description 7
- 238000007621 cluster analysis Methods 0.000 claims description 6
- 238000010606 normalization Methods 0.000 claims description 6
- 238000013528 artificial neural network Methods 0.000 claims description 5
- 238000000513 principal component analysis Methods 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 238000012937 correction Methods 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 3
- 238000006116 polymerization reaction Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 230000008054 signal transmission Effects 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- 230000001052 transient effect Effects 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 description 3
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- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
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- 230000009466 transformation Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
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- 230000006837 decompression Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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Classifications
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- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H02J13/0006—
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- 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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/16—Electric power substations
Abstract
The invention belongs to Substation Automation System fields, disclose a kind of intelligent substation complex automatic system, and the intelligent substation complex automatic system includes：Electric energy supply module, analogue collection module, electric parameter measurement module, main control module, remote control module, electric energy quality monitoring module, intelligent restoration module, multiloop monitoring module.The present invention quick-recovery background computer monitoring system normal operation, saving operations staff's grid switching operation time, raising power grid power supply reliability can be shortened power off time, the normal operation of entire electric system has been effectively ensured soon by intelligent restoration module；Electric current, voltage, power, temperature, humidity, pressure or flow much information can be measured by electric parameter measurement module simultaneously, Comprehensive monitoring data is provided.
Description
Technical field
The invention belongs to Substation Automation System field more particularly to a kind of intelligent substation complex automatic systems.
Background technology
Substation changes the place of voltage.For electrical energy transportation that power plant is issued to place farther out, it is necessary to
Voltage increases, and becomes high-voltage electricity, nearby voltage is reduced on demand again to user, the work of this buck/boost comes by substation
It completes.The capital equipment of substation is switch and transformer.By scale difference, small is known as electric substation.Substation is more than
Electric substation.The signified usually voltage class of power transformation is in 110kV step-down substations below；Substation includes various voltage class
" boosting, decompression " substation.Substation is voltage of transformation in electric system, receiving and distribution electric energy, the flow direction for controlling electric power
With the electric power facility of adjustment voltage, it is got up the grid contact of each step voltage by its transformer.However, existing substation
The degree of automation it is low, intelligent electric power distribution cannot be carried out, if there is the system failure, cannot quickly be restored；It detects simultaneously
Converting station electric power data sheet one, cannot comprehensive comprehensively monitoring substation normal operation.
In conclusion problem of the existing technology is：The degree of automation of existing substation is low, cannot carry out intelligence
Electric power distribution；If there is the system failure, cannot quickly restore；The converting station electric power data sheet one of detection simultaneously, Bu Nengquan
The normal operation of the comprehensively monitoring substation in face.
Invention content
In view of the problems of the existing technology, the present invention provides a kind of intelligent substation complex automatic systems.
The invention is realized in this way a kind of intelligent substation complex automatic system includes：
Electric energy supply module, analogue collection module, electric parameter measurement module, main control module, remote control module, electric energy matter
Measure monitoring modular, intelligent restoration module, multiloop monitoring module；
Electric energy supply module, connect with main control module, for being powered to comprehensive automation system of transformer substation；
Analogue collection module is connect with main control module, for by the way that voltage transformer, current transformer, pick-up is coupled
Device acquires analog signals and is converted to digital signal, and the data exchange with automated system is realized through communication connection；
Electric parameter measurement module, connect with main control module, monitoring and measurement for being responsible for circuit power information,
Main control module, with electric energy supply module, analogue collection module, electric parameter measurement module, remote control module, electric energy
Quality-monitoring module, intelligent restoration module, the connection of multiloop monitoring module, for controlling modules normal work；
Remote control module is connect with main control module, for for receive computer instruction execute system straighforward operation or from
Dynamic control；
Electric energy quality monitoring module, connect with main control module, the overcurrent, excessively negative for being responsible for service entrance switch and transformer
Lotus, temperature etc. are protected and monitoring；
Intelligent restoration module, connect with main control module, is used for substation's background computer system intelligent restoration；
Multiloop monitoring module, connect with main control module, for being responsible for fire-fighting power supply and non fire fighting power supply interconnection switch
Stateful Inspection machine controls.
Further, the intelligent restoration modular system restoration methods are as follows：
First, the backup software of high efficient and reliable is selected：According to reliability, the performance with background computer system compatibility, software
The principle of stability and high efficiency, the Ghost products for the Symantec companies that selected properties are all met the requirements are as main backup work
Tool, Nero7 is as CD burning tool；
Secondly, installation and backup：Using backup software, shifting is backed up to each Substation Operating system and SCADA system
Dynamic storage hard disk；
Then, backup medium is made：CD ISO files are generated with Nero7, the file of Ghost generations, Ghost can be held
Line program, SCADA data library file etc. are encapsulated in an ISO file, ready-made CD template are made ISO files, so
CD burning is come out afterwards；
Finally, with optical disk start-up background computer, Ghost programs start to start, according to prompt completion SCADA data library data
Restore the recovery with Substation Operating system.
Further, main control module to power grid electricity consumption situation carry out dynamic prediction the specific steps are：First, with principal component
Analytic approach analyzes many factors for influencing network load；Classified to user type based on method of fuzzy cluster analysis；
BP neural network is learnt and is trained, after network convergence, dynamic prediction is carried out to the cold and hot electric load of intelligent grid garden；
Secondly, it using the shortest classification of Euclidean distance as the classification of prediction day, establishes BP neural network and is predicted, obtain electric network terminal
User's cool and thermal power load data.
Further, described to include to influencing the step of network load many factors are analyzed with Principal Component Analysis：
Step 1: being standardized to sample data：
Raw data matrix：
In formula, n is number of samples；P is each sample dimension；XijValue is tieed up for the jth of i-th of sample, uses X1,X2,…,
XpEach column vector of representing matrix X respectively, has：
E (X in formulaj) and Vax (Xj) X is indicated respectivelyjMean value and variance；
Step 2: calculating correlation matrix R：
Cov (X in formulai, Xj) indicate the covariance between the i-th row and jth row in data matrix；
Step 3: asking orthogonal matrix and its characteristic value：
PTRP=diag(λ1,λ2,…,λp)；
λ in formula1≥λ2≥…≥λpIt is the p characteristic value of R, diagIndicate diagonal matrix.
Further, the fuzzy cluster analysis includes to historical load data sorting procedure：
Step 1: carrying out normalization processing to sample data：
x'jk=(xjk-xkmin)/(xkmax-xkmin)；
In formula, xkmax、xkminRespectively x1k,x2k,…,xnkMaximum value and minimum value；x'jkFor the data after normalization；
Step 2: establishing fuzzy resembling relation matrix R={ rij}：
Step 3: carrying out dynamic clustering：
I is the polymerization order numbers of λ from high to low, n in formulaiAnd ni-1The respectively element of ith and (i-1)-th cluster
Number；λiAnd λi-1Respectively ith and (i-1)-th time cluster when confidence level, if Ci=max (Cj), then it is assumed that ith cluster
Confidence level λiFor optimal threshold；
Step 4: calculating prediction day and above-mentioned all kinds of Euclidean distance：
X' in formulaikTo predict the characteristic index vector of day, x'jkFor the characteristic index vector of each classification.
Further, intelligent restoration module is when transformer substation system breaks down, automatic fault detection point and progress self-healing, and
The current information for the failure occurring the moment samples, and two test points is chosen when sampling, at interval of time T01It samples respectively
Once, record current i01And i02, sample n times, and by sample information and transmitting fault information to main control module；
Electric parameter measurement module is when the first distribution terminal breaks down, to the electricity on the communication line of fault point
Pressure, electric current and Power operation parameter are acquired, and are transmitted to main control module, wherein when acquisition current information, the company of taking every time
Continuous N1A period samples M1It is secondary, an instantaneous value i is taken within each period；
Main control module calculates the trip information that the electric parameter measurement module acquires, and matches from neighbouring
Obtain broadcast reference signal information in electric terminals, according to the failure occurs for the neighbouring distribution terminal moment, acquisition current time electric current,
Voltage and power signal occur the time interval t at moment with failure according to current time and translate signal waveform forward, obtain base
Calibration signal electric current I3And reference voltage signal and reference power signal, a threshold range of trip information is calculated, and will
The operation information for calculating gained is compared with threshold range information, wherein is carried out by following formula to the current signal of acquisition
It calculates,
In formula, i indicates the instantaneous value in any period, Im0kIt indicates in N1Electric current average amplitude in a period, ImTable
Show calculating gained current amplitude, N1Indicate each sampling period, M1Indicate that sampling number, w indicate signal transmission frequencies；To respectively matching
After the fault message of electric terminals is judged, there are time-ofday signals to the failure that substation is sent and be acquired, after correcting process, to
Fault alarm module and display module are sent, and are modified by following formula to the signal of acquisition,
In formula, ρ indicates correction factor, i01And i02When indicating to break down, the transient current sampled value of two sampled points, N
Indicate that sampling number, k indicate sample sequence.
Advantages of the present invention and good effect are：The present invention can fast quick-recovery background computer monitoring by intelligent restoration module
System normal operation saves operations staff's grid switching operation time, improves power grid power supply reliability, shortens power off time, effectively protects
The normal operation of entire electric system is demonstrate,proved；Dynamic prediction is carried out to power grid electricity consumption situation by main control module, while passing through electricity
Measurement of force module can measure electric current, voltage, power, temperature, humidity, pressure or flow much information, provide comprehensively comprehensive
Close monitoring data.
Description of the drawings
Fig. 1 is intelligent substation complex automatic system structure diagram provided in an embodiment of the present invention.
In figure：1, electric energy supply module；2, analogue collection module；3, electric parameter measurement module；4, main control module；5、
Remote control module；6, electric energy quality monitoring module；7, intelligent restoration module；8, multiloop monitoring module.
Specific implementation mode
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and coordinate attached drawing
Detailed description are as follows.
The structure of the present invention is explained in detail below in conjunction with the accompanying drawings.
As shown in Figure 1, intelligent substation complex automatic system provided by the invention includes：Electric energy supply module 1, simulation
Measure acquisition module 2, electric parameter measurement module 3, main control module 4, remote control module 5, electric energy quality monitoring module 6, intelligent restoration
Module 7, multiloop monitoring module 8.
Electric energy supply module 1 is connect with main control module 4, for being powered to comprehensive automation system of transformer substation；
Analogue collection module 2 is connect with main control module 4, for by the way that voltage transformer, current transformer, change is coupled
Device is sent, analog signals are acquired and is converted to digital signal, the data exchange with automated system is realized through communication connection；
Electric parameter measurement module 3 is connect with main control module 4, monitoring and measurement for being responsible for circuit power information,
Main control module 4, with electric energy supply module 1, analogue collection module 2, electric parameter measurement module 3, remote control module
5, electric energy quality monitoring module 6, intelligent restoration module 7, multiloop monitoring module 8 connect, for controlling the normal work of modules
Make；
Remote control module 5 is connect with main control module 4, for for receive computer instruction execute system straighforward operation or
It automatically controls；
Electric energy quality monitoring module 6 is connect with main control module 4, the overcurrent, excessively negative for being responsible for service entrance switch and transformer
Lotus, temperature etc. are protected and monitoring；
Intelligent restoration module 7 is connect with main control module 4, is used for substation's background computer system intelligent restoration；
Multiloop monitoring module 8 is connect with main control module 4, for being responsible for fire-fighting power supply and non fire fighting power supply interconnection switch
Stateful Inspection machine control.
7 system recovery method of intelligent restoration module provided by the invention is as follows：
First, the backup software of high efficient and reliable is selected：According to reliability, the performance with background computer system compatibility, software
The principle of stability and high efficiency, the Ghost products for the Symantec companies that selected properties are all met the requirements are as main backup work
Tool, Nero7 is as CD burning tool；
Secondly, installation and backup：Using backup software, shifting is backed up to each Substation Operating system and SCADA system
Dynamic storage hard disk；
Then, backup medium is made：CD ISO files are generated with Nero7, the file of Ghost generations, Ghost can be held
Line program, SCADA data library file etc. are encapsulated in an ISO file, ready-made CD template are made ISO files, so
CD burning is come out afterwards；
Finally, with optical disk start-up background computer, Ghost programs start to start, according to prompt completion SCADA data library data
Restore the recovery with Substation Operating system.
Main control module to power grid electricity consumption situation carry out dynamic prediction the specific steps are：First, with Principal Component Analysis
Many factors to influencing network load are analyzed；Classified to user type based on method of fuzzy cluster analysis；To BP god
Learnt through network and trained, after network convergence, dynamic prediction is carried out to the cold and hot electric load of intelligent grid garden；Secondly,
Using the shortest classification of Euclidean distance as the classification of prediction day, establishes BP neural network and predicted, obtain electric network terminal user
Cool and thermal power load data.
It is described to include to influencing the step of network load many factors are analyzed with Principal Component Analysis：
Step 1: being standardized to sample data：
Raw data matrix：
In formula, n is number of samples；P is each sample dimension；XijValue is tieed up for the jth of i-th of sample, uses X1,X2,…,
XpEach column vector of representing matrix X respectively, has：
E (X in formulaj) and Vax (Xj) X is indicated respectivelyjMean value and variance；
Step 2: calculating correlation matrix R：
Cov (X in formulai, Xj) indicate the covariance between the i-th row and jth row in data matrix；
Step 3: asking orthogonal matrix and its characteristic value：
PTRP=diag(λ1,λ2,…,λp)；
λ in formula1≥λ2≥…≥λpIt is the p characteristic value of R, diagIndicate diagonal matrix.
The fuzzy cluster analysis includes to historical load data sorting procedure：
Step 1: carrying out normalization processing to sample data：
x'jk=(xjk-xkmin)/(xkmax-xkmin)；
In formula, xkmax、xkminRespectively x1k,x2k,…,xnkMaximum value and minimum value；x'jkFor the data after normalization；
Step 2: establishing fuzzy resembling relation matrix R={ rij}：
Step 3: carrying out dynamic clustering：
I is the polymerization order numbers of λ from high to low, n in formulaiAnd ni-1The respectively element of ith and (i-1)-th cluster
Number；λiAnd λi-1Respectively ith and (i-1)-th time cluster when confidence level, if Ci=max (Cj), then it is assumed that ith cluster
Confidence level λiFor optimal threshold；
Step 4: calculating prediction day and above-mentioned all kinds of Euclidean distance：
X' in formulaikTo predict the characteristic index vector of day, x'jkFor the characteristic index vector of each classification.
Intelligent restoration module is when transformer substation system breaks down, automatic fault detection point and progress self-healing, and to the event
The current information that moment occurs for barrier is sampled, and two test points is chosen when sampling, at interval of time T01Sampling is primary respectively, note
Record electric current i01And i02, sample n times, and by sample information and transmitting fault information to main control module；
Electric parameter measurement module is when the first distribution terminal breaks down, to the electricity on the communication line of fault point
Pressure, electric current and Power operation parameter are acquired, and are transmitted to main control module, wherein when acquisition current information, the company of taking every time
Continuous N1A period samples M1It is secondary, an instantaneous value i is taken within each period；
Main control module calculates the trip information that the electric parameter measurement module acquires, and matches from neighbouring
Obtain broadcast reference signal information in electric terminals, according to the failure occurs for the neighbouring distribution terminal moment, acquisition current time electric current,
Voltage and power signal occur the time interval t at moment with failure according to current time and translate signal waveform forward, obtain base
Calibration signal electric current I3And reference voltage signal and reference power signal, a threshold range of trip information is calculated, and will
The operation information for calculating gained is compared with threshold range information, wherein is carried out by following formula to the current signal of acquisition
It calculates,
In formula, i indicates the instantaneous value in any period, Im0kIt indicates in N1Electric current average amplitude in a period, ImTable
Show calculating gained current amplitude, N1Indicate each sampling period, M1Indicate that sampling number, w indicate signal transmission frequencies；To respectively matching
After the fault message of electric terminals is judged, there are time-ofday signals to the failure that substation is sent and be acquired, after correcting process, to
Fault alarm module and display module are sent, and are modified by following formula to the signal of acquisition,
In formula, ρ indicates correction factor, i01And i02When indicating to break down, the transient current sampled value of two sampled points, N
Indicate that sampling number, k indicate sample sequence.
When the present invention works, electric energy supply module 1 is powered substation；Electricity is coupled by analogue collection module 2
Pressure mutual inductor, current transformer, transmitter, acquisition analog signals are simultaneously converted to digital signal, through communication connection realization and certainly
The data exchange of dynamicization system；Monitoring and measurement by electric parameter measurement module 3 to circuit power information；Electric energy supplies mould
The data of acquisition are transferred to main control module 4 and carry out processing analysis by block 1, analogue collection module 2, control the normal work of modules
Make；Staff controls electrical equipment by remote control module 5；By electric energy quality monitoring module 6, multiloop monitoring module 8 is right
Substation is monitored；If the system failure is by intelligent restoration module 7 to substation's background computer system intelligent restoration.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Every any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (6)
1. a kind of intelligent substation complex automatic system, which is characterized in that the intelligent substation complex automatic system packet
It includes：
Electric energy supply module, analogue collection module, electric parameter measurement module, main control module, remote control module, power quality prison
Survey module, intelligent restoration module, multiloop monitoring module；
Electric energy supply module, connect with main control module, for being powered to comprehensive automation system of transformer substation；
Analogue collection module is connect with main control module, for by the way that voltage transformer, current transformer, transmitter is coupled, adopting
Collection analog signals are simultaneously converted to digital signal, and the data exchange with automated system is realized through communication connection；
Electric parameter measurement module, connect with main control module, monitoring and measurement for being responsible for circuit power information,
Main control module, with electric energy supply module, analogue collection module, electric parameter measurement module, remote control module, power quality
Monitoring modular, intelligent restoration module, the connection of multiloop monitoring module, for carrying out dynamic prediction to power grid electricity consumption situation, and are controlled
Modules normal work processed；
Remote control module is connect with main control module, for executing the straighforward operation of system or automatic control for receiving computer instruction
System；
Electric energy quality monitoring module, connect with main control module, overcurrent, overload, temperature for being responsible for service entrance switch and transformer
The protection such as degree and monitoring；
Intelligent restoration module, connect with main control module, is used for substation's background computer system intelligent restoration；
Multiloop monitoring module, connect with main control module, the state for being responsible for fire-fighting power supply and non fire fighting power supply interconnection switch
Monitoring machine controls.
2. intelligent substation complex automatic system as described in claim 1, which is characterized in that the intelligent restoration modular system
Restoration methods are as follows：
First, the backup software of high efficient and reliable is selected：Stablized according to reliability, the performance with background computer system compatibility, software
Efficient principle, the Ghost products of the Symantec companies that selected properties are all met the requirements as main backup tool,
Nero7 is as CD burning tool；
Secondly, installation and backup：Using backup software, movement is backed up to each Substation Operating system and SCADA system and is deposited
Store up hard disk；
Then, backup medium is made：CD ISO files are generated with Nero7, file, the Ghost that Ghost is generated can perform journey
Sequence, SCADA data library file etc. are encapsulated in an ISO file, and ready-made CD template is made ISO files, then will
CD burning comes out；
Finally, with optical disk start-up background computer, Ghost programs start to start, according to the recovery of prompt completion SCADA data library data
With the recovery of Substation Operating system.
3. intelligent substation complex automatic system as described in claim 1, which is characterized in that main control module is to power grid electricity consumption shape
Condition carry out dynamic prediction the specific steps are：First, many factors for influencing network load are carried out with Principal Component Analysis
Analysis；Classified to user type based on method of fuzzy cluster analysis；BP neural network is learnt and is trained, network convergence
Afterwards, dynamic prediction is carried out to the cold and hot electric load of intelligent grid garden；Secondly, using the shortest classification of Euclidean distance as prediction day
Classification, establish BP neural network and predicted, obtain electric network terminal user's cool and thermal power load data.
4. intelligent substation complex automatic system as claimed in claim 3, which is characterized in that described to use Principal Component Analysis
Include to influencing the step of network load many factors are analyzed：
Step 1: being standardized to sample data：
Raw data matrix：
In formula, n is number of samples；P is each sample dimension；XijValue is tieed up for the jth of i-th of sample, uses X1,X2,…,XpPoint
Each column vector of other representing matrix X, has：
E (X in formulaj) and Vax (Xj) X is indicated respectivelyjMean value and variance；
Step 2: calculating correlation matrix R：
Cov (X in formulai, Xj) indicate the covariance between the i-th row and jth row in data matrix；
Step 3: asking orthogonal matrix and its characteristic value：
PTRP=diag(λ1,λ2,…,λp)；
λ in formula1≥λ2≥…≥λpIt is the p characteristic value of R, diagIndicate diagonal matrix.
5. intelligent substation complex automatic system as claimed in claim 3, which is characterized in that the fuzzy cluster analysis is to going through
History load data sorting procedure includes：
Step 1: carrying out normalization processing to sample data：
x'jk=(xjk-x kmin)/(x kmax-x kmin)；
In formula, xkmax、xkminRespectively x1k,x2k,…,xnkMaximum value and minimum value；x'jkFor the data after normalization；
Step 2: establishing fuzzy resembling relation matrix R={ rij}：
Step 3: carrying out dynamic clustering：
I is the polymerization order numbers of λ from high to low, n in formulaiAnd ni-1The respectively element number of ith and (i-1)-th cluster；λi
And λi-1Respectively ith and (i-1)-th time cluster when confidence level, if Ci=max (Cj), then it is assumed that the confidence of ith cluster
Horizontal λiFor optimal threshold；
Step 4: calculating prediction day and above-mentioned all kinds of Euclidean distance：
X' in formulaikTo predict the characteristic index vector of day, x'jkFor the characteristic index vector of each classification.
6. intelligent substation complex automatic system as described in claim 1, which is characterized in that intelligent restoration module is in substation
When system breaks down, automatic fault detection point and progress self-healing, and the current information at moment occurs to the failure and samples,
Two test points are chosen when sampling, at interval of time T01Sampling is primary respectively, record current i01And i02, n times are sampled, and will adopt
Sample information and transmitting fault information are to main control module；
Electric parameter measurement module is when the first distribution terminal breaks down, to voltage, the electricity on the communication line of fault point
Stream and Power operation parameter are acquired, and are transmitted to main control module, wherein when acquisition current information, are taken every time continuous
N1A period samples M1It is secondary, an instantaneous value i is taken within each period；
Main control module calculates the trip information that the electric parameter measurement module acquires, and whole from neighbouring distribution
Broadcast reference signal information is obtained in end, according to the failure occurs for the neighbouring distribution terminal moment, obtains current time electric current, voltage
And power signal, the time interval t at moment occurs with failure according to current time and translates signal waveform forward, obtains benchmark letter
Number electric current I3And reference voltage signal and reference power signal, a threshold range of trip information is calculated, and will calculate
The operation information of gained is compared with threshold range information, wherein the current signal of acquisition calculated by following formula,
In formula, i indicates the instantaneous value in any period, Im0kIt indicates in N1Electric current average amplitude in a period, ImIndicate meter
Calculate gained current amplitude, N1Indicate each sampling period, M1Indicate that sampling number, w indicate signal transmission frequencies；To each distribution end
After the fault message at end is judged, there are time-ofday signals to the failure that substation is sent and be acquired, after correcting process, to failure
Alarm module and display module are sent, and are modified by following formula to the signal of acquisition,
In formula, ρ indicates correction factor, i01And i02When indicating to break down, the transient current sampled value of two sampled points, N is indicated
Sampling number, k indicate sample sequence.
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| CN201810316794.0A Pending CN108512222A (en) | 2018-04-10 | 2018-04-10 | A kind of intelligent substation complex automatic system |
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| CN115102294A (en) * | 2022-08-26 | 2022-09-23 | 华能太原东山燃机热电有限责任公司 | Electric power monitoring method and monitoring system |
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