CN107681658A - A kind of electricity grid oscillating analysis test method and system towards scheduling station - Google Patents
A kind of electricity grid oscillating analysis test method and system towards scheduling station Download PDFInfo
- Publication number
- CN107681658A CN107681658A CN201710923249.3A CN201710923249A CN107681658A CN 107681658 A CN107681658 A CN 107681658A CN 201710923249 A CN201710923249 A CN 201710923249A CN 107681658 A CN107681658 A CN 107681658A
- Authority
- CN
- China
- Prior art keywords
- scheduling station
- electricity grid
- low
- analysis
- frequency oscillation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- 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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
-
- 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]
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of electricity grid oscillating analysis test method and system towards scheduling station, effective method and means reliably detected, the technical problem that engineering operation personnel can not be assessed the electricity grid oscillating analysis ability of existing scheduling station are carried out to the electricity grid oscillating analytic function of scheduling station for solving to lack in the prior art.The inventive method includes：Simulating grid low-frequency oscillation generation emulation data, and according to emulation data extraction Low-frequency Oscillation Modal Parameters；Emulation data are sent to scheduling station, electricity grid oscillating analysis is carried out according to emulation data by scheduling station；The electricity grid oscillating analysis result returned by scheduling station is obtained, and by electricity grid oscillating analysis result compared with Low-frequency Oscillation Modal Parameters, obtains Accuracy evaluation result of the scheduling station to electricity grid oscillating modal identification.
Description
Technical field
The present invention relates to electrical network analysis technical field of measurement and test, more particularly to a kind of electricity grid oscillating towards scheduling station
Analysis test method and system.
Background technology
In power system, low-frequency oscillation is with Power System Interconnection and caused.It is high with the expansion of Power System Interconnection scale
Multiplication factor high-speed excitation technology it is widely used, and under the influence of by factors such as economy, environmental protection power network operation more adjunction
Nearly stability limit, each generator shaking through relative between generator amature can occur during power transmission line paired running under disturbance in system
Pendulum, and cause persistent oscillation when lacking and damping, cause power on power transmission line also to occur accordingly to vibrate.
Low-frequency oscillation is a kind of phenomenon that power swings occur after being disturbed on interconnection for power system, and system is moved
State unstability be disturbance after caused by diversity low-frequency oscillation caused by underdamping even negative damping.It is existing due to disturbing
Generation, propagation, the process to dissipate are undergone as, new disturbance may be caused in communication process, while for disturbance
Operation is also a kind of disturbance in itself.So these situations are frequently not isolated, but it is mutually related, in the time, spatially
More reconstructed images are presented.Continuous worsening interaction most causes system unstability, off-the-line at last, forms large-scale power outage.
Therefore, when low-frequency oscillation occurs for power network, low-frequency oscillation can be gone out by discriminance analysis in time, and take arrange accordingly
Apply, have great importance for prevention system unstability and off-the-line.
At present, analysis of the scheduling station in power network to electricity grid oscillating and identification application are still immature, and existing skill
Lack in art and effective method and means reliably detected is carried out to the electricity grid oscillating analytic function of scheduling station.Engineering is transported
Administrative staff can not be assessed the electricity grid oscillating analysis ability of existing scheduling station, easily caused due to scheduling station
The accident for analyzing low-frequency oscillation and system unstability off-the-line occurring can not be accurately identified.Therefore, for the electricity of scheduling station
Net Low Frequency Oscillation Analysis function carries out targetedly test and is of great practical significance.
The content of the invention
The embodiments of the invention provide a kind of electricity grid oscillating analysis test method and system towards scheduling station, solution
Determined lack in the prior art the electricity grid oscillating analytic function of scheduling station is carried out the method that effectively reliably detects with
Means, the technology that engineering operation personnel can not be assessed the electricity grid oscillating analysis ability of existing scheduling station are asked
Topic.
A kind of electricity grid oscillating analysis test method towards scheduling station provided in an embodiment of the present invention, including：
Simulating grid low-frequency oscillation generation emulation data, and according to emulation data extraction Low-frequency Oscillation Modal Parameters；
Emulation data are sent to scheduling station, electricity grid oscillating analysis is carried out according to emulation data by scheduling station；
Obtain by scheduling station return electricity grid oscillating analysis result, and by electricity grid oscillating analysis result with it is low
Frequency vibration is swung modal parameter and is compared, and obtains Accuracy evaluation result of the scheduling station to electricity grid oscillating modal identification.
Preferably, include before simulating grid low-frequency oscillation generation emulation data：
Electric network model is built, electric network model includes the machine system model of 2nd area 4 and the node system model of 10 machine 39.
Preferably, simulating grid low-frequency oscillation generation emulation data specifically include：
Disturbance is added in the ad-hoc location of electric network model, inspires low-frequency oscillation mode, and according to emulation Timing acquisition electricity
The service data of pessimistic concurrency control；
Ad-hoc location includes generator, circuit and load；
Service data includes the operational parameter data of generator, the operational parameter data of circuit, the operational factor number of load
According to the operational parameter data with node.
Preferably, included according to emulation data extraction Low-frequency Oscillation Modal Parameters：
Suitable Prediction Parameters expression formula is determined using Prony algorithms according to emulation data；
Equal interval sampling is carried out to emulation data, obtains sampled result, and corresponding linear moment is obtained according to sampled result
Battle array equation and the characteristic root for asking for linear matrix equation；
According to characteristic root, Low-frequency Oscillation Modal Parameters are obtained；
Low-frequency Oscillation Modal Parameters are estimated including Amplitude Estimation value, initial phase estimate, damped coefficient estimate and frequency
Evaluation.
Preferably, in addition to：
Electric network model, emulation data and Low-frequency Oscillation Modal Parameters are associated integration, form electricity grid oscillating case
Example storehouse.
Preferably, emulation data are sent to scheduling station, carrying out power network low frequency according to emulation data by scheduling station shakes
Analysis is swung to specifically include：
Electric network model and emulation data are sent to scheduling station, entered by scheduling station according to electric network model and emulation data
Row electricity grid oscillating is analyzed；
Electric network model is sent to scheduling station, emulation data by FTP modes and sent by 104 stipulations according to sequential to tune
Spend main website.
Preferably, by electricity grid oscillating analysis result compared with Low-frequency Oscillation Modal Parameters, scheduling station is obtained
The Accuracy evaluation result of electricity grid oscillating modal identification is specifically included：
By electricity grid oscillating analysis result compared with Low-frequency Oscillation Modal Parameters, the error in comparative result
Size obtains Accuracy evaluation result of the scheduling station to electricity grid oscillating modal identification.
A kind of electricity grid oscillating analysis of test system towards scheduling station provided by the invention, including：
Extraction module is generated, emulation data are generated for simulating grid low-frequency oscillation, and according to emulation data extraction low frequency
Oscillatory mode shape parameter；
Sending module, for emulation data to be sent to scheduling station, power network is carried out according to emulation data by scheduling station
Low Frequency Oscillation Analysis；
Com-parison and analysis module, for obtaining the electricity grid oscillating analysis result returned by scheduling station, and power network is low
Frequency vibration swings analysis result compared with Low-frequency Oscillation Modal Parameters, obtains scheduling station to electricity grid oscillating modal identification
Accuracy evaluation result.
Preferably, generation extraction module includes：
Submodule is gathered, disturbance is added for the ad-hoc location in electric network model, inspires low-frequency oscillation mode, and according to
Emulate the service data of Timing acquisition electric network model；
Ad-hoc location includes generator, circuit and load；
Service data includes the operational parameter data of generator, the operational parameter data of circuit, the operational factor number of load
According to the operational parameter data with node.
Preferably, generation extraction module includes：
Extracting sub-module, for according to emulation data extraction Low-frequency Oscillation Modal Parameters；
Extracting sub-module is specifically used for：
Suitable Prediction Parameters expression formula is determined using Prony algorithms according to emulation data；
Equal interval sampling is carried out to emulation data, obtains sampled result, and corresponding linear moment is obtained according to sampled result
Battle array equation and the characteristic root for asking for linear matrix equation；
According to characteristic root, Low-frequency Oscillation Modal Parameters are obtained；
Low-frequency Oscillation Modal Parameters are estimated including Amplitude Estimation value, initial phase estimate, damped coefficient estimate and frequency
Evaluation.
As can be seen from the above technical solutions, the present invention has advantages below：
A kind of electricity grid oscillating analysis test method and system towards scheduling station is provided in the present invention, passes through mould
Intend electricity grid oscillating generation emulation data, and Low-frequency Oscillation Modal Parameters are extracted exactly according to emulation data；Then lead to
Cross and the emulation data that simulating grid low-frequency oscillation generates are sent to scheduling station to be tested, electricity is voluntarily carried out by scheduling station
Net Low Frequency Oscillation Analysis；Finally after the electricity grid oscillating analysis result that scheduling station is fed back is got, it will dispatch
The electricity grid oscillating analysis result of main website analysis can exchange compared with the Low-frequency Oscillation Modal Parameters extracted in advance
Spend the degree of accuracy of the main website to electricity grid oscillating modal identification to assess, that is, know that the power network low frequency of existing scheduling station shakes
Analysis ability is swung, in order to which engineering operation personnel are taken scheduling station according to the electricity grid oscillating analysis ability of scheduling station
The measure of its Low Frequency Oscillation Analysis ability or other low-frequency oscillation precautionary measures are improved, are avoided low due to that can not recognize in time
Frequency vibration is swung and the power grid accident of system unstability off-the-line occurs.In addition, the method provided in the present invention can be remotely to multiple tune
The electricity grid oscillating analysis ability of degree main website is assessed, and finds each scheduling station current electricity grid oscillating point in time
Analysis ability, process is simply efficient, saves manpower and materials.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also
To obtain other accompanying drawings according to these accompanying drawings.
Fig. 1 is the embodiment of the electricity grid oscillating analysis test method provided in an embodiment of the present invention towards scheduling station
One schematic flow sheet.
Fig. 2 is the embodiment of the electricity grid oscillating analysis test method provided in an embodiment of the present invention towards scheduling station
Two schematic flow sheet.
Fig. 3 is the machine system electric network model of 2nd area 4 provided in an embodiment of the present invention.
Fig. 4 is the node system electric network model of 10 machine 39 provided in an embodiment of the present invention.
Fig. 5 is a kind of knot of electricity grid oscillating analysis of test system towards scheduling station provided in an embodiment of the present invention
Structure schematic diagram.
Fig. 6 is electricity grid oscillating analysis of test system provided in an embodiment of the present invention and scheduling station connection diagram.
Embodiment
The embodiments of the invention provide a kind of electricity grid oscillating analysis test method and system towards scheduling station, uses
Effective method reliably detected is carried out to the electricity grid oscillating analytic function of scheduling station in solving to lack in the prior art
With means, the technology that engineering operation personnel can not be assessed the electricity grid oscillating analysis ability of existing scheduling station is asked
Topic.
To enable goal of the invention, feature, the advantage of the present invention more obvious and understandable, below in conjunction with the present invention
Accompanying drawing in embodiment, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that disclosed below
Embodiment be only part of the embodiment of the present invention, and not all embodiment.Based on the embodiment in the present invention, this area
All other embodiment that those of ordinary skill is obtained under the premise of creative work is not made, belongs to protection of the present invention
Scope.
Embodiment one：
Referring to Fig. 1, the figure, which is the electricity grid oscillating provided in an embodiment of the present invention towards scheduling station, analyzes test
The schematic flow sheet of the embodiment one of method.
Electricity grid oscillating analysis test method provided in an embodiment of the present invention towards scheduling station includes：
S101, simulating grid low-frequency oscillation generation emulation data, and according to emulation data extraction Low-frequency Oscillation Modal Parameters；
It is understood that after disturbance is received in actual motion the situation of low-frequency oscillation occurs for simulating grid, and obtain
Now corresponding simulation run supplemental characteristic is got, the Oscillatory mode shape that correlation can be extracted by simulation run supplemental characteristic is joined
Number.
S102, will emulation data send to scheduling station, by scheduling station according to emulation data carry out electricity grid oscillating
Analysis；
Led it is understood that the emulation data generated when low-frequency oscillation occurs for simulating grid are sent to scheduling
Stand, electricity grid oscillating analysis is carried out by scheduling station；It should be noted that emulation data and step received by scheduling station
The emulation data for being used to extract Oscillatory mode shape parameter in rapid S101 are identicals, in order to follow-up comparative assessment.
S103, the electricity grid oscillating analysis result returned by scheduling station is obtained, and electricity grid oscillating is analyzed and tied
Fruit obtains Accuracy evaluation knot of the scheduling station to electricity grid oscillating modal identification compared with Low-frequency Oscillation Modal Parameters
Fruit.
It is understood that when the electricity grid oscillating analysis result and Low-frequency Oscillation Modal Parameters that are returned by scheduling station
When being more or less the same, it is believed that the electricity grid oscillating analysis ability of scheduling station is stronger；When what is returned by scheduling station
When electricity grid oscillating analysis result differs larger with Low-frequency Oscillation Modal Parameters, it is believed that the power network low frequency of scheduling station shakes
Swing that analysis ability is weaker, should adaptability take for measure.
Technical scheme provided in an embodiment of the present invention is better understood from for the ease of those skilled in the art, below will be to this
Another embodiment that inventive embodiments are provided towards the electricity grid oscillating analysis test method of scheduling station is carried out in detail
Introduce.
Embodiment two：
Referring to Fig. 2, the figure, which is the electricity grid oscillating provided in an embodiment of the present invention towards scheduling station, analyzes test
The schematic flow sheet of the embodiment two of method.
Electricity grid oscillating analysis test method provided in an embodiment of the present invention towards scheduling station includes：
S201, structure electric network model, electric network model include the machine system model of 2nd area 4 and the node system model of 10 machine 39.
Firstly, it is necessary to build the electric network model that generation low-frequency oscillation service data need to use.Electric network model includes the machine of 2nd area 4
System model and the node system model of 10 machine 39, detailed electric network model structure are as follows：
1) as shown in figure 3, being the machine system electric network model of 2nd area 4 provided in an embodiment of the present invention.There are two generatings in each region
Machine, and 220 kilometers of double parallel transmission line of electricity are used to connect two regions.
2) as shown in figure 4, being the node system electric network model of 10 machine 39 provided in an embodiment of the present invention.
S202, the ad-hoc location addition disturbance in electric network model, inspire low-frequency oscillation mode, and adopt according to emulation sequential
Collect the service data of electric network model；Ad-hoc location includes generator, circuit and load；The operation that service data includes generator is joined
Count the operational parameter data of data, the operational parameter data of circuit, the operational parameter data of load and node.
Specifically, shown in service data is specific as follows：
1) operational parameter data of generator：Relative to the rotor position angle with reference to motor angle, active power, positive sequence electricity
Pressure；
2) operational parameter data of circuit：Active power；
3) operational parameter data of load：Active power；
4) operational parameter data of node：Voltage magnitude, voltage phase angle.
It is understood that service data provided in an embodiment of the present invention is the part fortune selected by the embodiment of the present invention
Row data, during practical engineering application, other operational factors can be chosen according to being actually needed, and be not only limited to
Cited service data is stated, is no longer repeated herein.
S203, according to emulation data extraction Low-frequency Oscillation Modal Parameters；
It should be noted that the emulation data in this step are specially the service data of the electric network model in step S202.
It is understood that extraction Low-frequency Oscillation Modal Parameters comprise the following steps that：
1) suitable Prediction Parameters expression formula, is determined using Prony algorithms according to emulation data；
Need to be by low-frequency oscillation mode using Prony algorithmsChange
The form for the real and imaginary parts sum being written as：
In formula, m is the quantity of mode,* complex conjugate is represented.
Above-mentioned equation (1) can be reduced to：
In formula, p is the number for estimating characteristic value.
2) equal interval sampling, is carried out to emulation data, obtains sampled result, and it is linear according to corresponding to obtaining sampled result
Matrix equation and the characteristic root for asking for linear matrix equation；
N times equal interval sampling is done to output y (t), the sampling interval is Δ t, in tk=k moment, the Prony of output signal estimate
Evaluation is：
Define zi=exp (λiΔ t), has
Write as matrix form, specifically as shown in formula (4)：
First both members of matrix equation can be multiplied-α togetherp, second equation be multiplied by-αp-1, by that analogy, p-th etc.
Formula is multiplied by-α1,+1 equation of pth is multiplied by 1, then these equatioies are added, and obtains formula (5)：
Make zi(i=1,2 ..., p) is the root of p rank multinomials, and p rank multinomials are specifically as shown in formula (6)：
π (z)=(z-z1)(z-z2)L(z-zp)=zp-α1zp-1-L-αp-1z-αp=0； (6)
Formula (6) can be using abbreviation as y (p)=α1y(p-1)+α2y(p-2)+L+αpY (0), repeat said process and obtain p rank lines
Property equation group, write as shown in matrix form such as formula (7)：
, can be with direct solution matrix equation, if N if N=2p+1>2p+1, it can be solved by least square method,
Obtain π (z) characteristic root.
3), according to characteristic root, Low-frequency Oscillation Modal Parameters are obtained；Low-frequency Oscillation Modal Parameters include Amplitude Estimation value, just
Beginning phase estimation value, damped coefficient estimate and frequency estimation.
Z can be tried to achieve by π (z)iValue, and then b can be obtainediValue.
On this basis, difference calculated amplitude Ai, phaseDamped coefficient σiWith frequency fiEstimate：
Ai=| bi|
σi=ln | zi|/Δt
fi=arctan (Im (zi)/Re(zi))/2πΔt。
S204, electric network model, emulation data and Low-frequency Oscillation Modal Parameters are associated to integration, composition power network low frequency shakes
Swing case library.
Comprising different electric network models, multiple cases of different Oscillatory mode shapes in case library, the constitution content of each case is such as
Under：
1) electric network model：The machine system model of 2nd area 4 and the node system model of 10 machine 39, with Common Information Model (Common
Information Model, CIM)/extensible markup language (Extensible Markup Language, XML) file mode
Preserve, including the content such as device attribute, network topology annexation, measurement, system modelling load IEC61970 standards, use
" CIM-schema-cim10 " version；
2) electricity grid oscillating emulation data：Electricity grid oscillating modal data generation module collection generator, circuit,
The related data of load and node, preserved using database or E format texts file as carrier；
3) Low-frequency Oscillation Modal Parameters：Including modal frequency, amplitude, phase and damped coefficient etc., with database or E lattice
Formula text preserves for carrier.
S205, will emulation data send to scheduling station, by scheduling station according to emulation data carry out electricity grid oscillating
Analysis.
Electric network model and emulation data are sent to scheduling station, entered by scheduling station according to electric network model and emulation data
Row electricity grid oscillating is analyzed.
Wherein, electric network model is sent to tune by FTP (File Transfer Protocol, FTP) mode
Main website is spent, emulation data are sent to scheduling station by 104 stipulations according to sequential.
S206, the electricity grid oscillating analysis result returned by scheduling station is obtained, and electricity grid oscillating is analyzed and tied
Compared with Low-frequency Oscillation Modal Parameters, the error size in comparative result obtains scheduling station and power network low frequency is shaken fruit
Swing the Accuracy evaluation result of modal identification.
It is understood that the step predominantly verifies whether scheduling station correctly can enter to certain low-frequency oscillation mode
Row analysis and identification, the electricity grid oscillating modal parameter result that scheduling station is analyzed to obtain, with test system typical case
The modal parameter preserved in storehouse is analyzed, and can form the appraisal report of the electricity grid oscillating modal identification degree of accuracy.
Specifically comparison procedure is：The electricity grid oscillating modal parameter result that comparative analysis scheduling station returns is low with what is extracted in advance
Frequency vibration swings the error between modal parameter, when error is larger, it is believed that the electricity grid oscillating analysis ability of scheduling station
It is stronger；When error is smaller, it is believed that the electricity grid oscillating analysis ability of scheduling station is weaker, should adaptability take for arranging
Apply.
The electricity grid oscillating analysis result that method provided by the invention can analyze scheduling station is with extracting in advance
Low-frequency Oscillation Modal Parameters be compared, the degree of accuracy of the scheduling station to electricity grid oscillating modal identification can be commented
Estimate, that is, know the electricity grid oscillating analysis ability of existing scheduling station, in order to which engineering operation personnel are according to scheduling station
Electricity grid oscillating analysis ability to scheduling station take improve its Low Frequency Oscillation Analysis ability measure or other low frequencies
Precautionary measures are vibrated, avoid that the power grid accident of system unstability off-the-line occurs due to low-frequency oscillation can not be recognized in time.
The electricity grid oscillating analysis test method towards scheduling station provided based on above example, the present invention are implemented
Example also provides a kind of electricity grid oscillating analysis of test system towards scheduling station.
Embodiment three：
Analyzed referring to Fig. 5, the figure is a kind of electricity grid oscillating towards scheduling station provided in an embodiment of the present invention
The structural representation of test system.
A kind of electricity grid oscillating analysis of test system towards scheduling station provided in an embodiment of the present invention includes：
Module 301 is built, for building electric network model, electric network model includes the machine system model of 2nd area 4 and the node system of 10 machine 39
System model.
Firstly, it is necessary to build the electric network model that generation low-frequency oscillation service data need to use.Electric network model includes the machine of 2nd area 4
System model and the node system model of 10 machine 39, detailed electric network model structure are as follows：
1) as shown in figure 3, being the machine system electric network model of 2nd area 4 provided in an embodiment of the present invention.There are two generatings in each region
Machine, and 220 kilometers of double parallel transmission line of electricity are used to connect two regions.
2) as shown in figure 4, being the node system electric network model of 10 machine 39 provided in an embodiment of the present invention.
, can be with base on the basis of the topological structure of clear and definite electric network model, network parameter, component information and measure configuration
Electric network model is established in structure module 301, can also be established by third party software (such as grid simulation software) or scheduling station
Model, and imported into by interface in test system provided by the invention.
Extraction module 302 is generated, emulation data are generated for simulating grid low-frequency oscillation, and it is low according to emulation data extraction
Frequency vibration swings modal parameter；Generation extraction module 302 includes：
Submodule 3021 is gathered, disturbance is added for the ad-hoc location in electric network model, inspires low-frequency oscillation mode, and
According to the service data of emulation Timing acquisition electric network model；Ad-hoc location includes generator, circuit and load；Service data includes
The operational parameter data of generator, the operational parameter data of circuit, the operational factor number of the operational parameter data of load and node
According to.
Specifically, shown in service data is specific as follows：
1) operational parameter data of generator：Relative to the rotor position angle with reference to motor angle, active power, positive sequence electricity
Pressure；
2) operational parameter data of circuit：Active power；
3) operational parameter data of load：Active power；
4) operational parameter data of node：Voltage magnitude, voltage phase angle.
It is understood that service data provided in an embodiment of the present invention is the part fortune selected by the embodiment of the present invention
Row data, during practical engineering application, other operational factors can be chosen according to being actually needed, and be not only limited to
Cited service data is stated, is no longer repeated herein.
Extracting sub-module 3022, for according to emulation data extraction Low-frequency Oscillation Modal Parameters；
Extracting sub-module 3022 is specifically used for：
Suitable Prediction Parameters expression formula is determined using Prony algorithms according to emulation data；
Equal interval sampling is carried out to emulation data, obtains sampled result, and corresponding linear moment is obtained according to sampled result
Battle array equation and the characteristic root for asking for linear matrix equation；
According to characteristic root, Low-frequency Oscillation Modal Parameters are obtained；
Low-frequency Oscillation Modal Parameters are estimated including Amplitude Estimation value, initial phase estimate, damped coefficient estimate and frequency
Evaluation.
It is understood that extraction Low-frequency Oscillation Modal Parameters comprise the following steps that：
1) suitable Prediction Parameters expression formula, is determined using Prony algorithms according to emulation data；
Need to be by low-frequency oscillation mode using Prony algorithmsChange
The form for the real and imaginary parts sum being written as：
In formula, m is the quantity of mode,* complex conjugate is represented.
Above-mentioned equation (1) can be reduced to：
In formula, p is the number for estimating characteristic value.
2) equal interval sampling, is carried out to emulation data, obtains sampled result, and it is linear according to corresponding to obtaining sampled result
Matrix equation and the characteristic root for asking for linear matrix equation；
N times equal interval sampling is done to output y (t), the sampling interval is Δ t, in tk=k moment, the Prony of output signal estimate
Evaluation is：
Define zi=exp (λiΔ t), has
Write as matrix form, specifically as shown in formula (4)：
First both members of matrix equation can be multiplied-α togetherp, second equation be multiplied by-αp-1, by that analogy, p-th etc.
Formula is multiplied by-α1,+1 equation of pth is multiplied by 1, then these equatioies are added, and obtains formula (5)：
Make zi(i=1,2 ..., p) is the root of p rank multinomials, and p rank multinomials are specifically as shown in formula (6)：
π (z)=(z-z1)(z-z2)L(z-zp)=zp-α1zp-1-L-αp-1z-αp=0； (6)
Formula (6) can be using abbreviation as y (p)=α1y(p-1)+α2y(p-2)+L+αpY (0), repeat said process and obtain p rank lines
Property equation group, write as shown in matrix form such as formula (7)：
, can be with direct solution matrix equation, if N if N=2p+1>2p+1, it can be solved by least square method,
Obtain π (z) characteristic root.
3), according to characteristic root, Low-frequency Oscillation Modal Parameters are obtained；Low-frequency Oscillation Modal Parameters include Amplitude Estimation value, just
Beginning phase estimation value, damped coefficient estimate and frequency estimation.
Z can be tried to achieve by π (z)iValue, and then b can be obtainediValue.
On this basis, difference calculated amplitude Ai, phaseDamped coefficient σiWith frequency fiEstimate：
Ai=| bi|
σi=ln | zi|/Δt
fi=arctan (Im (zi)/Re(zi))/2πΔt。
Module 303 is integrated, for electric network model, emulation data and Low-frequency Oscillation Modal Parameters to be associated into integration, structure
Into electricity grid oscillating case library.
Comprising different electric network models, multiple cases of different Oscillatory mode shapes in case library, the constitution content of each case is such as
Under：
1) electric network model：The machine system model of 2nd area 4 and the node system model of 10 machine 39, with Common Information Model (Common
Information Model, CIM)/extensible markup language (Extensible Markup Language, XML) file mode
Preserve, including the content such as device attribute, network topology annexation, measurement, system modelling load IEC61970 standards, use
" CIM-schema-cim10 " version；
2) electricity grid oscillating emulation data：Electricity grid oscillating modal data generation module collection generator, circuit,
The related data of load and node, preserved using database or E format texts file as carrier；
3) Low-frequency Oscillation Modal Parameters：Including modal frequency, amplitude, phase and damped coefficient etc., with database or E lattice
Formula text preserves for carrier.
Sending module 304, for emulation data to be sent to scheduling station, electricity is carried out according to emulation data by scheduling station
Net Low Frequency Oscillation Analysis；
Electric network model and emulation data are sent to scheduling station, entered by scheduling station according to electric network model and emulation data
Row electricity grid oscillating is analyzed.
Wherein, electric network model is sent to tune by FTP (File Transfer Protocol, FTP) mode
Main website is spent, emulation data are sent to scheduling station by 104 stipulations according to sequential.
Com-parison and analysis module 305, for obtaining the electricity grid oscillating analysis result returned by scheduling station, and by power network
Low Frequency Oscillation Analysis result obtains scheduling station to electricity grid oscillating modal identification compared with Low-frequency Oscillation Modal Parameters
Accuracy evaluation result.
It is understood that the step predominantly verifies whether scheduling station correctly can enter to certain low-frequency oscillation mode
Row analysis and identification, the electricity grid oscillating modal parameter result that scheduling station is analyzed to obtain, with test system typical case
The modal parameter preserved in storehouse is analyzed, and can form the appraisal report of the electricity grid oscillating modal identification degree of accuracy.
Specifically comparison procedure is：The electricity grid oscillating modal parameter result that comparative analysis scheduling station returns is low with what is extracted in advance
Frequency vibration swings the error between modal parameter, when error is larger, it is believed that the electricity grid oscillating analysis ability of scheduling station
It is stronger；When error is smaller, it is believed that the electricity grid oscillating analysis ability of scheduling station is weaker, should adaptability take for arranging
Apply.
It is to a kind of electricity grid oscillating analysis of test system towards scheduling station provided in an embodiment of the present invention above
Detailed description, below by the deployment to the electricity grid oscillating analysis of test system towards scheduling station and and scheduling station
Between annexation be described in detail.
Referring to Fig. 6, the figure is electricity grid oscillating analysis of test system and scheduling station connection diagram.
Electricity grid oscillating analysis of test system towards scheduling station can be deployed in server, desktop computer or Portable pen
Remember on the computers such as this computer, electricity grid oscillating analysis of test system realizes the network with scheduling station system by interchanger
Connection.
The node that scheduling station is related to electricity grid oscillating analytic function includes front-collection server and electrical network analysis clothes
Business device.Specific communication process is as follows：
1) front-collection server is responsible for receiving electricity grid oscillating analogue simulation data, analyzes and surveys with electricity grid oscillating
Test system accesses preposition interchanger, and electricity grid oscillating analysis of test system takes as service end, the front-collection of scheduling station
Device be engaged in as client, the electricity grid oscillating data that the simulation of electricity grid oscillating analysis of test system generates pass through 104 stipulations
Message form is sent initially to the front-collection server machine of scheduling station, and front-collection server machine completes stipulations parsing and report
After text processing, then by the ripe data forwarding after processing to electrical network analysis server.
2) electrical network analysis server is responsible for receiving the ripe data after electric network model, front-collection server process, and issues
Low Frequency Oscillation Analysis result, the front-collection server with scheduling station, and the backbone network of test system access dispatching main website
Interchanger.Initial in test, electric network model file is sent to electrical network analysis server, power network by test system by FTP modes
Analysis server completes the parsing and importing of electric network model CIM files；In test process, electrical network analysis server chronologically receives
Ripe data after front-collection server process, and the low-frequency oscillation mode to that may be included in data is analyzed and recognized；
After analysis terminates, analysis result is sent back to electricity grid oscillating analysis of test system by electrical network analysis service by FTP modes, is supplied
Electricity grid oscillating analysis of test system is evaluated.
Described above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to before
Embodiment is stated the present invention is described in detail, it will be understood by those within the art that：It still can be to preceding
State the technical scheme described in each embodiment to modify, or equivalent substitution is carried out to which part technical characteristic；And these
Modification is replaced, and the essence of appropriate technical solution is departed from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (10)
- A kind of 1. electricity grid oscillating analysis test method towards scheduling station, it is characterised in that including：Simulating grid low-frequency oscillation generation emulation data, and according to the emulation data extraction Low-frequency Oscillation Modal Parameters；The emulation data are sent to scheduling station, carrying out power network low frequency according to the emulation data by the scheduling station shakes Swing analysis；Obtain the electricity grid oscillating analysis result that is returned by the scheduling station, and by the electricity grid oscillating analysis result Compared with the Low-frequency Oscillation Modal Parameters, Accuracy evaluation of the scheduling station to electricity grid oscillating modal identification is obtained As a result.
- 2. the electricity grid oscillating analysis test method according to claim 1 towards scheduling station, it is characterised in that institute Include before stating simulating grid low-frequency oscillation generation emulation data：Electric network model is built, the electric network model includes the machine system model of 2nd area 4 and the node system model of 10 machine 39.
- 3. the electricity grid oscillating analysis test method according to claim 2 towards scheduling station, it is characterised in that institute Simulating grid low-frequency oscillation generation emulation data are stated to specifically include：Disturbance is added in the ad-hoc location of the electric network model, inspires low-frequency oscillation mode, and according to emulation Timing acquisition institute State the service data of electric network model；The ad-hoc location includes generator, circuit and load；The service data includes the operational parameter data of generator, the operational parameter data of circuit, the operational factor number of load According to the operational parameter data with node.
- 4. the electricity grid oscillating analysis test method towards scheduling station according to claim 1 or 3, its feature exist In described to be included according to the emulation data extraction Low-frequency Oscillation Modal Parameters：Suitable Prediction Parameters expression formula is determined using Prony algorithms according to the emulation data；Equal interval sampling is carried out to the emulation data, obtains sampled result, and corresponding line is obtained according to the sampled result Property matrix equation and the characteristic root for asking for the linear matrix equation；According to the characteristic root, Low-frequency Oscillation Modal Parameters are obtained；The Low-frequency Oscillation Modal Parameters are estimated including Amplitude Estimation value, initial phase estimate, damped coefficient estimate and frequency Evaluation.
- 5. the electricity grid oscillating analysis test method according to claim 2 towards scheduling station, it is characterised in that also Including：The electric network model, the emulation data and the Low-frequency Oscillation Modal Parameters are associated integration, it is low to form power network Frequency vibration swings case library.
- 6. the electricity grid oscillating analysis test method according to claim 2 towards scheduling station, it is characterised in that institute State and send the emulation data to scheduling station, electricity grid oscillating is carried out according to the emulation data by the scheduling station Analysis specifically includes：The electric network model and the emulation data are sent to scheduling station, by the scheduling station according to the electric network model Electricity grid oscillating analysis is carried out with the emulation data；The electric network model is sent to the scheduling station by FTP modes, and the emulation data are by 104 stipulations according to sequential Send to the scheduling station.
- 7. the electricity grid oscillating analysis test method according to claim 1 towards scheduling station, it is characterised in that institute State by the electricity grid oscillating analysis result compared with the Low-frequency Oscillation Modal Parameters, obtain scheduling station to power network The Accuracy evaluation result of low-frequency oscillation modal identification specifically includes：By the electricity grid oscillating analysis result compared with the Low-frequency Oscillation Modal Parameters, according in comparative result Error size obtains Accuracy evaluation result of the scheduling station to electricity grid oscillating modal identification.
- A kind of 8. electricity grid oscillating analysis of test system towards scheduling station, it is characterised in that including：Extraction module is generated, emulation data are generated for simulating grid low-frequency oscillation, and according to the emulation data extraction low frequency Oscillatory mode shape parameter；Sending module, for the emulation data to be sent to scheduling station, by the scheduling station according to the emulation data Carry out electricity grid oscillating analysis；Com-parison and analysis module, for obtaining the electricity grid oscillating analysis result that is returned by the scheduling station, and by the electricity Net Low Frequency Oscillation Analysis result obtains scheduling station to electricity grid oscillating mould compared with the Low-frequency Oscillation Modal Parameters The Accuracy evaluation result of state identification.
- 9. the electricity grid oscillating analysis of test system according to claim 8 towards scheduling station, it is characterised in that institute Stating generation extraction module includes：Submodule is gathered, disturbance is added for the ad-hoc location in the electric network model, inspires low-frequency oscillation mode, and according to Emulate the service data of electric network model described in Timing acquisition；The ad-hoc location includes generator, circuit and load；The service data includes the operational parameter data of generator, the operational parameter data of circuit, the operational factor number of load According to the operational parameter data with node.
- 10. the electricity grid oscillating analysis of test system towards scheduling station according to claim 7 or 8, its feature exist In the generation extraction module includes：Extracting sub-module, for according to the emulation data extraction Low-frequency Oscillation Modal Parameters；The extracting sub-module is specifically used for：Suitable Prediction Parameters expression formula is determined using Prony algorithms according to the emulation data；Equal interval sampling is carried out to the emulation data, obtains sampled result, and corresponding line is obtained according to the sampled result Property matrix equation and the characteristic root for asking for the linear matrix equation；According to the characteristic root, Low-frequency Oscillation Modal Parameters are obtained；The Low-frequency Oscillation Modal Parameters are estimated including Amplitude Estimation value, initial phase estimate, damped coefficient estimate and frequency Evaluation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710923249.3A CN107681658B (en) | 2017-09-30 | 2017-09-30 | Power grid low-frequency oscillation analysis and test method and system for dispatching master station |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710923249.3A CN107681658B (en) | 2017-09-30 | 2017-09-30 | Power grid low-frequency oscillation analysis and test method and system for dispatching master station |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107681658A true CN107681658A (en) | 2018-02-09 |
| CN107681658B CN107681658B (en) | 2020-04-21 |
Family
ID=61138778
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710923249.3A Active CN107681658B (en) | 2017-09-30 | 2017-09-30 | Power grid low-frequency oscillation analysis and test method and system for dispatching master station |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107681658B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108089095A (en) * | 2017-12-05 | 2018-05-29 | 广东电网有限责任公司电力科学研究院 | A kind of electricity grid oscillating parameter prediction method and device |
| CN109782089A (en) * | 2019-01-02 | 2019-05-21 | 南方电网科学研究院有限责任公司 | A kind of test method and device of power system stabilizer, PSS power oscillation damping ability |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101719675A (en) * | 2009-12-24 | 2010-06-02 | 华北电力大学 | PMU-based low-frequency oscillation control method |
| CN102305891A (en) * | 2011-07-04 | 2012-01-04 | 武汉大学 | On-line monitoring method of low-frequency oscillation of power system |
| CN103198184A (en) * | 2013-03-27 | 2013-07-10 | 深圳大学 | Low-frequency oscillation character noise-like identification method in electric power system |
| CN103311939A (en) * | 2013-06-14 | 2013-09-18 | 华北电力大学（保定） | WAMS (wide area measurement system) based low-frequency oscillation coordinated damping control method for electric power system |
| CN103530650A (en) * | 2013-10-16 | 2014-01-22 | 深圳大学 | Method for distinguishing low-frequency oscillation noise signal of power grid |
| KR20140037679A (en) * | 2012-09-19 | 2014-03-27 | 한국전력공사 | Apparatus and method for stabilizing power system using synchro-phasor information |
-
2017
- 2017-09-30 CN CN201710923249.3A patent/CN107681658B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101719675A (en) * | 2009-12-24 | 2010-06-02 | 华北电力大学 | PMU-based low-frequency oscillation control method |
| CN102305891A (en) * | 2011-07-04 | 2012-01-04 | 武汉大学 | On-line monitoring method of low-frequency oscillation of power system |
| KR20140037679A (en) * | 2012-09-19 | 2014-03-27 | 한국전력공사 | Apparatus and method for stabilizing power system using synchro-phasor information |
| CN103198184A (en) * | 2013-03-27 | 2013-07-10 | 深圳大学 | Low-frequency oscillation character noise-like identification method in electric power system |
| CN103311939A (en) * | 2013-06-14 | 2013-09-18 | 华北电力大学（保定） | WAMS (wide area measurement system) based low-frequency oscillation coordinated damping control method for electric power system |
| CN103530650A (en) * | 2013-10-16 | 2014-01-22 | 深圳大学 | Method for distinguishing low-frequency oscillation noise signal of power grid |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108089095A (en) * | 2017-12-05 | 2018-05-29 | 广东电网有限责任公司电力科学研究院 | A kind of electricity grid oscillating parameter prediction method and device |
| CN108089095B (en) * | 2017-12-05 | 2020-02-04 | 广东电网有限责任公司电力科学研究院 | Power grid low-frequency oscillation parameter prediction method and device |
| CN109782089A (en) * | 2019-01-02 | 2019-05-21 | 南方电网科学研究院有限责任公司 | A kind of test method and device of power system stabilizer, PSS power oscillation damping ability |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107681658B (en) | 2020-04-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103761309B (en) | Operation data processing method and system | |
| CN102457401B (en) | Method, device and server for log simulation generation | |
| Li et al. | Toward smart distribution management by integrating advanced metering infrastructure | |
| Hazra et al. | Power grid transient stability prediction using wide area synchrophasor measurements | |
| Farmer et al. | Optimising power system frequency stability using virtual inertia from inverter‐based renewable energy generation | |
| CN106412034B (en) | Method for processing business and device | |
| WO2015010482A1 (en) | Cross-system ems status estimation method based on cim/e interaction | |
| CN105677615A (en) | Distributed machine learning method based on weka interface | |
| CN107832383B (en) | A kind of data consistency verification method across computer room database | |
| Thakallapelli et al. | Measurement‐based wide‐area damping of inter‐area oscillations based on MIMO identification | |
| CN109066687A (en) | A kind of electric power system tide calculation method, system and electronic equipment | |
| CN114189274A (en) | Satellite ground station monitoring system based on microservice | |
| Le‐Huy et al. | Real‐time electromagnetic transient and transient stability co‐simulation based on hybrid line modelling | |
| CN107681658A (en) | A kind of electricity grid oscillating analysis test method and system towards scheduling station | |
| CN114205274A (en) | Network equipment testing method and device | |
| Duan et al. | Co‐simulation of distributed control system based on JADE for smart distribution networks with distributed generations | |
| Agarwal et al. | A time‐sensitive networking‐enabled synchronized three‐phase and phasor measurement‐based monitoring system for microgrids | |
| CN106294825A (en) | A kind of excel data managing method and system, client, service end | |
| Syed et al. | Synchronous reference frame interface for geographically distributed real‐time simulations | |
| CN108089095B (en) | Power grid low-frequency oscillation parameter prediction method and device | |
| CN103944779B (en) | A kind of WAP service features monitoring method and system | |
| Abbaspour Asadollah et al. | Web service response time monitoring: architecture and validation | |
| CN102541830B (en) | Method and device for generating simulation report in simulation platform | |
| CN110825538A (en) | MQ-based method for dynamically interacting data by self-defining data types | |
| Li et al. | A domain-specific language for simulation-based testing of IoT edge-to-cloud solutions |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |