CN107681658B - Power grid low-frequency oscillation analysis and test method and system for dispatching master station - Google Patents
Power grid low-frequency oscillation analysis and test method and system for dispatching master station Download PDFInfo
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Abstract
The invention discloses a power grid low-frequency oscillation analysis and test method and system for a scheduling master station, which are used for solving the technical problems that an effective and reliable detection method and means for a power grid low-frequency oscillation analysis function of the scheduling master station are lacked in the prior art, and engineering operators cannot evaluate the power grid low-frequency oscillation analysis capability of the prior scheduling master station. The method comprises the following steps: simulating low-frequency oscillation of a power grid to generate simulation data, and extracting low-frequency oscillation modal parameters according to the simulation data; the simulation data are sent to a scheduling master station, and the scheduling master station performs low-frequency oscillation analysis on the power grid according to the simulation data; and acquiring a power grid low-frequency oscillation analysis result returned by the dispatching master station, and comparing the power grid low-frequency oscillation analysis result with the low-frequency oscillation mode parameters to acquire an accuracy evaluation result of the dispatching master station for identifying the power grid low-frequency oscillation mode.
Description
Technical Field
The invention relates to the technical field of power grid analysis and test, in particular to a power grid low-frequency oscillation analysis and test method and system for a dispatching master station.
Background
In an electric power system, low frequency oscillations are generated with grid interconnection. Along with the expansion of the interconnection scale of the power grid, the wide adoption of the high-amplification-factor quick excitation technology, the operation of the power grid under the influence of factors such as economy, environmental protection and the like is closer to a stable limit, the relative swing between the rotors of the generators can occur under the disturbance when the generators in the system run in parallel through the power transmission line, and continuous oscillation is caused when the damping is lacked, so that the power on the power transmission line also oscillates correspondingly.
The low-frequency oscillation is a phenomenon that power swing occurs on a connecting line after a power system is disturbed, and the dynamic instability of the system is caused by divergent low-frequency oscillation caused by insufficient damping or even negative damping after the disturbance. Since the disturbance phenomenon generally goes through the processes of generation, propagation and dissipation, a new disturbance may be caused in the propagation process, and the operation for the disturbance is also a kind of disturbance itself. Therefore, the situations are not isolated, but are correlated with each other, and multiple phenomena appear in time and space. The continuously deteriorating interaction will eventually cause the system to destabilize, disintegrate, and form a large-scale power failure accident. Therefore, when the power grid generates low-frequency oscillation, the low-frequency oscillation phenomenon can be identified and analyzed in time, and measures are taken correspondingly, so that the method has important significance for preventing system instability and disconnection.
At present, analysis and identification application of a scheduling master station in a power grid to power grid low-frequency oscillation is not mature, and a method and a means for effectively and reliably detecting the power grid low-frequency oscillation analysis function of the scheduling master station are lacked in the prior art. Engineering operators cannot evaluate the power grid low-frequency oscillation analysis capability of the conventional scheduling master station, and the accident of system instability and disconnection caused by the fact that the scheduling master station cannot accurately identify and analyze the low-frequency oscillation phenomenon is easily caused. Therefore, the method has very important practical significance for carrying out targeted test on the power grid low-frequency oscillation analysis function of the scheduling master station.
Disclosure of Invention
The embodiment of the invention provides a power grid low-frequency oscillation analysis and test method and system for a scheduling master station, and solves the technical problems that in the prior art, a method and a means for effectively and reliably detecting the power grid low-frequency oscillation analysis function of the scheduling master station are lacked, and engineering operators cannot evaluate the power grid low-frequency oscillation analysis capability of the conventional scheduling master station.
The embodiment of the invention provides a power grid low-frequency oscillation analysis and test method for a scheduling master station, which comprises the following steps:
simulating low-frequency oscillation of a power grid to generate simulation data, and extracting low-frequency oscillation modal parameters according to the simulation data;
the simulation data are sent to a scheduling master station, and the scheduling master station performs low-frequency oscillation analysis on the power grid according to the simulation data;
and acquiring a power grid low-frequency oscillation analysis result returned by the dispatching master station, and comparing the power grid low-frequency oscillation analysis result with the low-frequency oscillation mode parameters to acquire an accuracy evaluation result of the dispatching master station for identifying the power grid low-frequency oscillation mode.
Preferably, the simulating the low-frequency oscillation of the power grid to generate the simulation data comprises:
and constructing a power grid model, wherein the power grid model comprises a 2-region 4-machine system model and a 10-machine 39-node system model.
Preferably, the simulating the low-frequency oscillation of the power grid to generate the simulation data specifically includes:
adding disturbance at a specific position of the power grid model, exciting a low-frequency oscillation mode, and acquiring operation data of the power grid model according to a simulation time sequence;
the specific location includes generator, line and load;
the operation data comprises operation parameter data of the generator, operation parameter data of the line, operation parameter data of the load and operation parameter data of the node.
Preferably, the extracting of the low-frequency oscillation mode parameters according to the simulation data comprises:
determining a proper prediction parameter expression by adopting a Prony algorithm according to the simulation data;
sampling the simulation data at equal intervals to obtain sampling results, obtaining a corresponding linear matrix equation according to the sampling results, and solving a characteristic root of the linear matrix equation;
according to the characteristic root, solving a low-frequency oscillation mode parameter;
the low-frequency oscillation mode parameters comprise an amplitude estimation value, an initial phase estimation value, a damping coefficient estimation value and a frequency estimation value.
Preferably, the method further comprises the following steps:
and performing correlation integration on the power grid model, the simulation data and the low-frequency oscillation modal parameters to form a power grid low-frequency oscillation case library.
Preferably, the sending of the simulation data to the scheduling master station, and the performing, by the scheduling master station, the power grid low-frequency oscillation analysis according to the simulation data specifically includes:
the power grid model and the simulation data are sent to a dispatching master station, and the dispatching master station performs power grid low-frequency oscillation analysis according to the power grid model and the simulation data;
the power grid model is sent to the scheduling master station in an FTP mode, and the simulation data are sent to the scheduling master station according to the time sequence through a 104 protocol.
Preferably, the comparing the analysis result of the low-frequency oscillation of the power grid with the low-frequency oscillation mode parameters to obtain the accuracy evaluation result of the identification of the low-frequency oscillation mode of the power grid by the scheduling master station specifically includes:
and comparing the analysis result of the low-frequency oscillation of the power grid with the low-frequency oscillation mode parameters, and obtaining the accuracy evaluation result of the dispatching master station on the identification of the low-frequency oscillation mode of the power grid according to the error in the comparison result.
The invention provides a power grid low-frequency oscillation analysis and test system facing a dispatching master station, which comprises:
the generation and extraction module is used for simulating the low-frequency oscillation of the power grid to generate simulation data and extracting low-frequency oscillation modal parameters according to the simulation data;
the transmission module is used for transmitting the simulation data to the dispatching master station, and the dispatching master station performs low-frequency oscillation analysis on the power grid according to the simulation data;
and the analysis and comparison module is used for acquiring a power grid low-frequency oscillation analysis result returned by the dispatching master station, and comparing the power grid low-frequency oscillation analysis result with the low-frequency oscillation modal parameters to acquire an accuracy evaluation result of the dispatching master station for identifying the power grid low-frequency oscillation modal.
Preferably, the generating and extracting module comprises:
the acquisition submodule is used for adding disturbance at a specific position of the power grid model, exciting a low-frequency oscillation mode and acquiring operation data of the power grid model according to a simulation time sequence;
the specific location includes generator, line and load;
the operation data comprises operation parameter data of the generator, operation parameter data of the line, operation parameter data of the load and operation parameter data of the node.
Preferably, the generating and extracting module comprises:
the extraction submodule is used for extracting low-frequency oscillation mode parameters according to the simulation data;
the extraction submodule is specifically configured to:
determining a proper prediction parameter expression by adopting a Prony algorithm according to the simulation data;
sampling the simulation data at equal intervals to obtain sampling results, obtaining a corresponding linear matrix equation according to the sampling results, and solving a characteristic root of the linear matrix equation;
according to the characteristic root, solving a low-frequency oscillation mode parameter;
the low-frequency oscillation mode parameters comprise an amplitude estimation value, an initial phase estimation value, a damping coefficient estimation value and a frequency estimation value.
According to the technical scheme, the invention has the following advantages:
the invention provides a power grid low-frequency oscillation analysis test method and system facing a dispatching master station, which generate simulation data by simulating power grid low-frequency oscillation, and accurately extract low-frequency oscillation modal parameters according to the simulation data; then, simulation data generated by simulating low-frequency oscillation of the power grid are sent to a dispatching master station to be tested, and the dispatching master station performs low-frequency oscillation analysis on the power grid by itself; and finally, after the power grid low-frequency oscillation analysis result fed back by the scheduling master station is obtained, the power grid low-frequency oscillation analysis result analyzed by the scheduling master station is compared with the low-frequency oscillation modal parameters extracted in advance, so that the accuracy of the scheduling master station in identifying the power grid low-frequency oscillation modal can be evaluated, that is, the power grid low-frequency oscillation analysis capability of the conventional scheduling master station is obtained, so that engineering operators can conveniently take measures for improving the low-frequency oscillation analysis capability or other low-frequency oscillation preventive measures for the scheduling master station according to the power grid low-frequency oscillation analysis capability of the scheduling master station, and the power grid accident of system instability and disconnection caused by the fact that the low-frequency oscillation cannot be identified in time is. In addition, the method provided by the invention can remotely evaluate the low-frequency oscillation analysis capability of the power grids of the plurality of scheduling master stations, timely finds the current low-frequency oscillation analysis capability of each scheduling master station, has simple and efficient process and saves manpower and material resources.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a first embodiment of a power grid low-frequency oscillation analysis test method for a scheduling master station according to an embodiment of the present invention.
Fig. 2 is a schematic flowchart of a second embodiment of the power grid low-frequency oscillation analysis and test method for the scheduling master station according to the embodiment of the present invention.
Fig. 3 is a power grid model of a 2-zone 4-machine system according to an embodiment of the present invention.
Fig. 4 is a 10-machine 39-node system power grid model provided in the embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a power grid low-frequency oscillation analysis test system for a scheduling master station according to an embodiment of the present invention.
Fig. 6 is a schematic diagram of a connection between a power grid low-frequency oscillation analysis test system and a scheduling master station according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a power grid low-frequency oscillation analysis and test method and system for a scheduling master station, which are used for solving the technical problems that in the prior art, a method and a means for effectively and reliably detecting the power grid low-frequency oscillation analysis function of the scheduling master station are lacked, and engineering operators cannot evaluate the power grid low-frequency oscillation analysis capability of the conventional scheduling master station.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
fig. 1 is a schematic flowchart of a first embodiment of a power grid low-frequency oscillation analysis and test method for a scheduling master station according to an embodiment of the present invention.
The power grid low-frequency oscillation analysis and test method for the scheduling master station comprises the following steps:
s101, simulating low-frequency oscillation of a power grid to generate simulation data, and extracting low-frequency oscillation modal parameters according to the simulation data;
it can be understood that the condition of low-frequency oscillation of the power grid after receiving disturbance in actual operation is simulated, corresponding simulation operation parameter data at the moment is obtained, and relevant oscillation mode parameters can be extracted through the simulation operation parameter data.
S102, sending the simulation data to a scheduling master station, and performing low-frequency oscillation analysis on the power grid by the scheduling master station according to the simulation data;
the simulation data generated when the simulation power grid generates low-frequency oscillation is sent to the dispatching master station, and the dispatching master station analyzes the low-frequency oscillation of the power grid; it should be noted that the simulation data received by the scheduling master station is the same as the simulation data used for extracting the oscillation mode parameters in step S101, so as to facilitate the subsequent comparative evaluation.
S103, obtaining a power grid low-frequency oscillation analysis result returned by the dispatching master station, and comparing the power grid low-frequency oscillation analysis result with the low-frequency oscillation mode parameters to obtain an accuracy evaluation result of the dispatching master station for identifying the power grid low-frequency oscillation mode.
It can be understood that when the difference between the analysis result of the low-frequency oscillation of the power grid returned by the scheduling master station and the low-frequency oscillation mode parameter is not large, the analysis capability of the low-frequency oscillation of the power grid of the scheduling master station is considered to be strong; when the difference between the analysis result of the low-frequency oscillation of the power grid returned by the scheduling master station and the low-frequency oscillation mode parameter is large, the analysis capability of the low-frequency oscillation of the power grid of the scheduling master station is considered to be weak, and a countermeasure should be taken adaptively.
In order to better understand the technical solutions provided by the embodiments of the present invention, another embodiment of a power grid low-frequency oscillation analysis test method for a scheduling master station provided by the embodiments of the present invention will be described in detail below.
Example two:
please refer to fig. 2, which is a flowchart illustrating a second embodiment of a power grid low-frequency oscillation analysis and test method for a dispatching master station according to an embodiment of the present invention.
The power grid low-frequency oscillation analysis and test method for the scheduling master station comprises the following steps:
s201, constructing a power grid model, wherein the power grid model comprises a 2-region 4-machine system model and a 10-machine 39-node system model.
First, a power grid model to be used for generating low-frequency oscillation operation data needs to be constructed. The power grid model comprises a 2-region 4-machine system model and a 10-machine 39-node system model, and the detailed power grid model structure is as follows:
1) as shown in fig. 3, a 2-zone 4-machine system power grid model is provided for the embodiment of the present invention. There are two generators per area and 220 km of dual parallel transmission lines connecting the two areas.
2) As shown in fig. 4, a 10-machine 39-node system power grid model is provided in the embodiment of the present invention.
S202, adding disturbance at a specific position of the power grid model, exciting a low-frequency oscillation mode, and collecting operation data of the power grid model according to a simulation time sequence; the specific location includes generator, line and load; the operation data comprises operation parameter data of the generator, operation parameter data of the line, operation parameter data of the load and operation parameter data of the node.
Specifically, the operational data is specifically as follows:
1) operating parameter data of the generator: rotor position angle, active power, positive sequence voltage relative to a reference motor angle;
2) operating parameter data of the line: active power;
3) operating parameter data of the load: active power;
4) operating parameter data of the nodes: voltage amplitude, voltage phase angle.
It can be understood that the operation data provided in the embodiment of the present invention is a part of the operation data selected in the embodiment of the present invention, and in an actual engineering application process, other operation parameters may be selected according to actual needs, which are not limited to the above listed operation data, and are not described herein again.
S203, extracting low-frequency oscillation mode parameters according to the simulation data;
it should be noted that the simulation data in this step is specifically the operation data of the power grid model in step S202.
It can be understood that the specific steps for extracting the parameters of the low-frequency oscillation mode are as follows:
1) determining a proper prediction parameter expression by adopting a Prony algorithm according to the simulation data;
the adoption of Prony algorithm requires low-frequency oscillation mode
Rewrite as the sum of real and imaginary parts:
wherein m is the number of modes,
denotes the complex conjugation. The above equation (1) can be simplified as:
in the formula, p is the number of estimated eigenvalues.
2) Sampling the simulation data at equal intervals to obtain sampling results, obtaining a corresponding linear matrix equation according to the sampling results, and solving a characteristic root of the linear matrix equation;
sampling the output y (t) N times at equal intervals, wherein the sampling interval is delta t and t iskAt time k, the Prony estimate of the output signal is:
definition of zi＝exp(λiΔ t), has
Writing into a matrix form, specifically as shown in formula (4):
the first equation of the matrix equation may be multiplied on both sides by- αpThe second equation is multiplied by- αp-1By analogy, the p-th equation is multiplied by- α1The (p + 1) th equation is multiplied by 1, and these equations are added to obtain the equation (5):
let zi(i ═ 1,2, …, p) is the root of a polynomial of order p, which is 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 simplified to y (p) ═ α1y(p-1)+α2y(p-2)+L+αpy (0), repeating the above process to obtain a p-order linear equation system, and writing the p-order linear equation system into a matrix form as shown in formula (7):
if N is 2p +1, the matrix equation can be directly solved, and if N is greater than 2p +1, the solution can be carried out by a least square method to obtain a characteristic root of pi (z).
3) According to the characteristic root, solving a low-frequency oscillation mode parameter; the low-frequency oscillation mode parameters comprise an amplitude estimation value, an initial phase estimation value, a damping coefficient estimation value and a frequency estimation value.
Z is obtained by pi (z)iThen b can be obtainediThe value of (c).
On the basis of the above, the amplitude A is calculated respectivelyiPhase of
Damping coefficient sigmaiAnd frequency fiEstimated value of (a):
Ai＝|bi|
σi＝ln|zi|/Δt
fi＝arctan(Im(zi)/Re(zi))/2πΔt。
and S204, performing correlation integration on the power grid model, the simulation data and the low-frequency oscillation mode parameters to form a power grid low-frequency oscillation case library.
The case library comprises a plurality of cases with different power grid models and different oscillation modes, and the composition content of each case is as follows:
1) and (3) power grid model: the 2-zone 4-machine system Model and the 10-machine 39-node system Model are stored in a Common Information Model (CIM)/Extensible Markup Language (XML) file mode, and comprise contents such as equipment attributes, network topology connection relation, measurement and the like, and the system modeling load IEC61970 standard adopts a CIM-schema-CIM10 version;
2) simulation data of low-frequency oscillation of the power grid: the generator, line, load and node related data collected by the power grid low-frequency oscillation mode data generation module are stored by taking a database or an E-format text file as a carrier;
3) low-frequency oscillation mode parameters: including modal frequency, amplitude, phase and damping coefficient, etc., and is stored by using a database or an E-format text file as a carrier.
S205, the simulation data are sent to a dispatching master station, and the dispatching master station conducts low-frequency oscillation analysis on the power grid according to the simulation data.
And sending the power grid model and the simulation data to a dispatching master station, and carrying out power grid low-frequency oscillation analysis by the dispatching master station according to the power grid model and the simulation data.
The power grid model is sent to the scheduling master station in a File Transfer Protocol (FTP) mode, and the simulation data are sent to the scheduling master station according to a time sequence through a 104 Protocol.
And S206, acquiring a power grid low-frequency oscillation analysis result returned by the dispatching master station, comparing the power grid low-frequency oscillation analysis result with the low-frequency oscillation mode parameters, and acquiring an accuracy evaluation result of the dispatching master station for power grid low-frequency oscillation mode identification according to the error in the comparison result.
It can be understood that the step is mainly to verify whether the scheduling master station can correctly analyze and identify the certain low-frequency oscillation mode, and the evaluation report of the accuracy of the low-frequency oscillation mode identification of the power grid can be formed by comparing and analyzing the result of the low-frequency oscillation mode parameters of the power grid, which is obtained by analyzing the scheduling master station, with the mode parameters stored in the typical case library of the test system. The specific comparison process is as follows: comparing and analyzing the error between the power grid low-frequency oscillation mode parameter result returned by the scheduling master station and the low-frequency oscillation mode parameter extracted in advance, and when the error is large, considering that the power grid low-frequency oscillation analysis capability of the scheduling master station is strong; when the error is small, the analysis capability of the low-frequency oscillation of the power grid of the scheduling main station is considered to be weak, and a countermeasure should be taken adaptively.
The method provided by the invention can compare the power grid low-frequency oscillation analysis result analyzed by the scheduling master station with the low-frequency oscillation modal parameters extracted in advance, and can evaluate the accuracy of the scheduling master station in identifying the power grid low-frequency oscillation mode, namely, the power grid low-frequency oscillation analysis capability of the existing scheduling master station is obtained, so that engineering operators can conveniently take measures for improving the low-frequency oscillation analysis capability or other low-frequency oscillation preventive measures for the scheduling master station according to the power grid low-frequency oscillation analysis capability of the scheduling master station, and the power grid accident that the system is unstable and disconnected due to the fact that the low-frequency oscillation cannot be identified in time is avoided.
Based on the power grid low-frequency oscillation analysis and test method for the scheduling master station provided by the embodiment, the embodiment of the invention also provides a power grid low-frequency oscillation analysis and test system for the scheduling master station.
Example three:
please refer to fig. 5, which is a schematic structural diagram of a power grid low-frequency oscillation analysis test system for a dispatching master station according to an embodiment of the present invention.
The power grid low-frequency oscillation analysis and test system for the scheduling master station provided by the embodiment of the invention comprises:
the building module 301 is configured to build a power grid model, where the power grid model includes a 2-region 4-machine system model and a 10-machine 39-node system model.
First, a power grid model to be used for generating low-frequency oscillation operation data needs to be constructed. The power grid model comprises a 2-region 4-machine system model and a 10-machine 39-node system model, and the detailed power grid model structure is as follows:
1) as shown in fig. 3, a 2-zone 4-machine system power grid model is provided for the embodiment of the present invention. There are two generators per area and 220 km of dual parallel transmission lines connecting the two areas.
2) As shown in fig. 4, a 10-machine 39-node system power grid model is provided in the embodiment of the present invention.
On the basis of determining the topology structure, network parameters, element information and measurement configuration of the power grid model, the power grid model can be established based on the building module 301, or the model can be established through third-party software (such as power grid simulation software) or a scheduling master station and is imported into the test system provided by the invention through an interface.
The generation and extraction module 302 is used for simulating power grid low-frequency oscillation to generate simulation data and extracting low-frequency oscillation modal parameters according to the simulation data; the generate extract module 302 includes:
the acquisition submodule 3021 is configured to add disturbance to a specific position of the power grid model, excite a low-frequency oscillation mode, and acquire operation data of the power grid model according to a simulation time sequence; the specific location includes generator, line and load; the operation data comprises operation parameter data of the generator, operation parameter data of the line, operation parameter data of the load and operation parameter data of the node.
Specifically, the operational data is specifically as follows:
1) operating parameter data of the generator: rotor position angle, active power, positive sequence voltage relative to a reference motor angle;
2) operating parameter data of the line: active power;
3) operating parameter data of the load: active power;
4) operating parameter data of the nodes: voltage amplitude, voltage phase angle.
It can be understood that the operation data provided in the embodiment of the present invention is a part of the operation data selected in the embodiment of the present invention, and in an actual engineering application process, other operation parameters may be selected according to actual needs, which are not limited to the above listed operation data, and are not described herein again.
An extraction submodule 3022, configured to extract a low-frequency oscillation mode parameter according to the simulation data;
the extract submodule 3022 is specifically configured to:
determining a proper prediction parameter expression by adopting a Prony algorithm according to the simulation data;
sampling the simulation data at equal intervals to obtain sampling results, obtaining a corresponding linear matrix equation according to the sampling results, and solving a characteristic root of the linear matrix equation;
according to the characteristic root, solving a low-frequency oscillation mode parameter;
the low-frequency oscillation mode parameters comprise an amplitude estimation value, an initial phase estimation value, a damping coefficient estimation value and a frequency estimation value.
It can be understood that the specific steps for extracting the parameters of the low-frequency oscillation mode are as follows:
1) determining a proper prediction parameter expression by adopting a Prony algorithm according to the simulation data;
the adoption of Prony algorithm requires low-frequency oscillation mode
Rewrite as the sum of real and imaginary parts:
wherein m is the number of modes,
denotes the complex conjugation. The above equation (1) can be simplified as:
in the formula, p is the number of estimated eigenvalues.
2) Sampling the simulation data at equal intervals to obtain sampling results, obtaining a corresponding linear matrix equation according to the sampling results, and solving a characteristic root of the linear matrix equation;
sampling the output y (t) N times at equal intervals, wherein the sampling interval is delta t and t iskAt time k, the Prony estimate of the output signal is:
definition of zi＝exp(λiΔ t), has
Writing into a matrix form, specifically as shown in formula (4):
the first equation of the matrix equation may be multiplied on both sides by- αpThe second equation is multiplied by- αp-1By analogy, the p-th equation is multiplied by- α1The (p + 1) th equation is multiplied by 1, and these equations are added to obtain the equation (5):
let zi(i ═ 1,2, …, p) is the root of a polynomial of order p, which is 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 simplified to y (p) ═ α1y(p-1)+α2y(p-2)+L+αpy (0), repeating the above process to obtain a p-order linear equation system, and writing the p-order linear equation system into a matrix form as shown in formula (7):
if N is 2p +1, the matrix equation can be directly solved, and if N is greater than 2p +1, the solution can be carried out by a least square method to obtain a characteristic root of pi (z).
3) According to the characteristic root, solving a low-frequency oscillation mode parameter; the low-frequency oscillation mode parameters comprise an amplitude estimation value, an initial phase estimation value, a damping coefficient estimation value and a frequency estimation value.
Z is obtained by pi (z)iThen b can be obtainediThe value of (c).
On the basis of the above, the amplitude A is calculated respectivelyiPhase of
Damping coefficient sigmaiAnd frequency fiEstimated value of (a):
Ai＝|bi|
σi＝ln|zi|/Δt
fi＝arctan(Im(zi)/Re(zi))/2πΔt。
and the integration module 303 is configured to perform correlation integration on the power grid model, the simulation data, and the low-frequency oscillation modal parameters to form a power grid low-frequency oscillation case library.
The case library comprises a plurality of cases with different power grid models and different oscillation modes, and the composition content of each case is as follows:
1) and (3) power grid model: the 2-zone 4-machine system Model and the 10-machine 39-node system Model are stored in a Common Information Model (CIM)/Extensible Markup Language (XML) file mode, and comprise contents such as equipment attributes, network topology connection relation, measurement and the like, and the system modeling load IEC61970 standard adopts a CIM-schema-CIM10 version;
2) simulation data of low-frequency oscillation of the power grid: the generator, line, load and node related data collected by the power grid low-frequency oscillation mode data generation module are stored by taking a database or an E-format text file as a carrier;
3) low-frequency oscillation mode parameters: including modal frequency, amplitude, phase and damping coefficient, etc., and is stored by using a database or an E-format text file as a carrier.
The sending module 304 is configured to send the simulation data to a scheduling master station, and the scheduling master station performs power grid low-frequency oscillation analysis according to the simulation data;
and sending the power grid model and the simulation data to a dispatching master station, and carrying out power grid low-frequency oscillation analysis by the dispatching master station according to the power grid model and the simulation data.
The power grid model is sent to the scheduling master station in a File Transfer Protocol (FTP) mode, and the simulation data are sent to the scheduling master station according to a time sequence through a 104 Protocol.
And the analysis and comparison module 305 is configured to obtain a power grid low-frequency oscillation analysis result returned by the scheduling master station, and compare the power grid low-frequency oscillation analysis result with the low-frequency oscillation modal parameter to obtain an accuracy evaluation result of the scheduling master station for identifying the power grid low-frequency oscillation modal.
It can be understood that the step is mainly to verify whether the scheduling master station can correctly analyze and identify the certain low-frequency oscillation mode, and the evaluation report of the accuracy of the low-frequency oscillation mode identification of the power grid can be formed by comparing and analyzing the result of the low-frequency oscillation mode parameters of the power grid, which is obtained by analyzing the scheduling master station, with the mode parameters stored in the typical case library of the test system. The specific comparison process is as follows: comparing and analyzing the error between the power grid low-frequency oscillation mode parameter result returned by the scheduling master station and the low-frequency oscillation mode parameter extracted in advance, and when the error is large, considering that the power grid low-frequency oscillation analysis capability of the scheduling master station is strong; when the error is small, the analysis capability of the low-frequency oscillation of the power grid of the scheduling main station is considered to be weak, and a countermeasure should be taken adaptively.
In the above, for the detailed description of the scheduling master station-oriented power grid low-frequency oscillation analysis test system provided by the embodiment of the present invention, the deployment of the scheduling master station-oriented power grid low-frequency oscillation analysis test system and the connection relationship between the scheduling master station and the power grid low-frequency oscillation analysis test system are described in detail below.
Please refer to fig. 6, which is a schematic diagram illustrating a connection between a power grid low-frequency oscillation analysis test system and a dispatching master station.
The power grid low-frequency oscillation analysis and test system facing the dispatching master station can be deployed on computers such as a server, a desktop computer or a portable notebook computer, and the power grid low-frequency oscillation analysis and test system is connected with the dispatching master station system through a switch in a network mode.
The node of the scheduling master station, which relates to the power grid low-frequency oscillation analysis function, comprises a preposed acquisition server and a power grid analysis server. The specific communication process is as follows:
1) the pre-collection server is responsible for receiving power grid low-frequency oscillation simulation data, the power grid low-frequency oscillation simulation data and a power grid low-frequency oscillation analysis and test system are connected into a pre-switch, the power grid low-frequency oscillation analysis and test system serves as a server side, a pre-collection server of a dispatching master station serves as a client side, power grid low-frequency oscillation data generated by the power grid low-frequency oscillation analysis and test system in a simulation mode are firstly sent to a pre-collection server of the dispatching master station through a 104 protocol message mode, and the pre-collection server completes protocol analysis and message processing and then forwards processed mature data to a power grid analysis server.
2) And the power grid analysis server is responsible for receiving the power grid model and the cooked data processed by the prepositive acquisition server, and issuing a low-frequency oscillation analysis result, and the power grid analysis server, the prepositive acquisition server of the scheduling main station and the backbone network switch of the testing system accessing the scheduling main station. At the initial test, the test system sends the power grid model file to a power grid analysis server in an FTP mode, and the power grid analysis server completes the analysis and the import of a power grid model CIM file; in the testing process, the power grid analysis server receives the mature data processed by the preposed acquisition server according to a time sequence, and analyzes and identifies low-frequency oscillation modes possibly contained in the data; after the analysis is finished, the power grid analysis service sends the analysis result back to the power grid low-frequency oscillation analysis and test system in an FTP mode, and the power grid low-frequency oscillation analysis and test system evaluates the analysis result.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. A power grid low-frequency oscillation analysis and test method for a dispatching master station is characterized by comprising the following steps:
simulating low-frequency oscillation of a power grid to generate simulation data, and extracting low-frequency oscillation modal parameters according to the simulation data;
the simulation data are sent to a scheduling master station, and the scheduling master station performs power grid low-frequency oscillation analysis according to the simulation data;
acquiring a power grid low-frequency oscillation analysis result returned by the scheduling master station, and comparing the power grid low-frequency oscillation analysis result with the low-frequency oscillation modal parameter to obtain an accuracy evaluation result of the scheduling master station for identifying the power grid low-frequency oscillation modal;
the extracting of the low-frequency oscillation mode parameters according to the simulation data comprises:
determining a proper prediction parameter expression by adopting a Prony algorithm according to the simulation data;
sampling the simulation data at equal intervals to obtain sampling results, obtaining a corresponding linear matrix equation according to the sampling results, and solving a characteristic root of the linear matrix equation;
according to the characteristic root, solving a low-frequency oscillation mode parameter;
the low-frequency oscillation mode parameters comprise an amplitude estimation value, an initial phase estimation value, a damping coefficient estimation value and a frequency estimation value.
2. The power grid low-frequency oscillation analysis and test method for the dispatching master station as recited in claim 1, wherein before simulating the power grid low-frequency oscillation to generate simulation data, the method comprises:
and constructing a power grid model which comprises a 2-region 4-machine system model and a 10-machine 39-node system model.
3. The power grid low-frequency oscillation analysis and test method for the scheduling master station as claimed in claim 2, wherein simulating the power grid low-frequency oscillation to generate simulation data specifically comprises:
adding disturbance at a specific position of the power grid model, exciting a low-frequency oscillation mode, and acquiring operation data of the power grid model according to a simulation time sequence;
the specific location includes a generator, a line and a load;
the operation data comprises operation parameter data of the generator, operation parameter data of the line, operation parameter data of the load and operation parameter data of the node.
4. The power grid low-frequency oscillation analysis and test method facing the scheduling master station as recited in claim 2, further comprising:
and performing correlation integration on the power grid model, the simulation data and the low-frequency oscillation modal parameters to form a power grid low-frequency oscillation case library.
5. The power grid low-frequency oscillation analysis and test method facing a scheduling master station as claimed in claim 2, wherein the sending of the simulation data to the scheduling master station, and the performing of the power grid low-frequency oscillation analysis by the scheduling master station according to the simulation data specifically comprises:
the power grid model and the simulation data are sent to a dispatching master station, and the dispatching master station performs power grid low-frequency oscillation analysis according to the power grid model and the simulation data;
the power grid model is sent to the scheduling master station in an FTP mode, and the simulation data are sent to the scheduling master station according to a time sequence through a 104 protocol.
6. The power grid low-frequency oscillation analysis and test method facing the scheduling master station as claimed in claim 1, wherein the comparing the power grid low-frequency oscillation analysis result with the low-frequency oscillation modal parameter to obtain the accuracy evaluation result of the scheduling master station for power grid low-frequency oscillation modal identification specifically comprises:
and comparing the power grid low-frequency oscillation analysis result with the low-frequency oscillation mode parameters, and obtaining an accuracy evaluation result of the dispatching master station for power grid low-frequency oscillation mode identification according to the error in the comparison result.
7. The utility model provides a power grid low frequency oscillation analysis test system towards dispatch main website which characterized in that includes:
the generation and extraction module is used for simulating low-frequency oscillation of a power grid to generate simulation data and extracting low-frequency oscillation modal parameters according to the simulation data;
the transmission module is used for transmitting the simulation data to a dispatching master station, and the dispatching master station performs power grid low-frequency oscillation analysis according to the simulation data;
the analysis and comparison module is used for acquiring a power grid low-frequency oscillation analysis result returned by the scheduling master station, and comparing the power grid low-frequency oscillation analysis result with the low-frequency oscillation modal parameter to acquire an accuracy evaluation result of the scheduling master station for identifying the power grid low-frequency oscillation modal;
the generation and extraction module comprises:
the extraction submodule is used for extracting low-frequency oscillation mode parameters according to the simulation data;
the extraction submodule is specifically configured to:
determining a proper prediction parameter expression by adopting a Prony algorithm according to the simulation data;
sampling the simulation data at equal intervals to obtain sampling results, obtaining a corresponding linear matrix equation according to the sampling results, and solving a characteristic root of the linear matrix equation;
according to the characteristic root, solving a low-frequency oscillation mode parameter;
the low-frequency oscillation mode parameters comprise an amplitude estimation value, an initial phase estimation value, a damping coefficient estimation value and a frequency estimation value.
8. The system for analyzing and testing low-frequency oscillation of power grid facing to the dispatching master station as claimed in claim 7, wherein the generation and extraction module comprises:
the acquisition submodule is used for adding disturbance at a specific position of the power grid model, exciting a low-frequency oscillation mode and acquiring operation data of the power grid model according to a simulation time sequence;
the specific location includes a generator, a line and a load;
the operation data comprises operation parameter data of the generator, operation parameter data of the line, operation parameter data of the load and operation parameter data of the node.
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