CN116756198A - Rapid searching method for static voltage stability domain boundary of power system - Google Patents
Rapid searching method for static voltage stability domain boundary of power system Download PDFInfo
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Abstract
The invention discloses a quick search method for a static voltage stability domain boundary of an electric power system, which comprises the following steps: step one: an upper platform and an APP are deployed at an application layer, a cloud server and an algorithm are built at a link layer, a dynamic test module and a power system are accessed at a physical layer, and step two: dynamically testing dynamic interference and useful power parameters of the power system, and step three: converting the test information into jacobian by a matrix technology for a link layer, solving a characteristic value matrix, then carrying out double integration on each column of elements to solve a stability domain boundary surface, and finding out concave-convex points of the stability domain boundary surface by a differential equation, wherein the step four is as follows: the invention provides a method for searching a stable domain boundary surface model of a link layer by a user at an application layer, and an algorithm is used for matching a proper stable domain boundary surface result for the user according to the actual condition of a user power system.
Description
Technical Field
The invention relates to the technical field of stability domain analysis, in particular to a rapid search method for a static voltage stability domain boundary of an electric power system.
Background
With the rapid development of world industry and science technologies, the development of communication technology and internet of things technology is greatly increased year by year, in order to improve the utilization efficiency of electric energy, many countries are beginning to carry out power market innovation, the introduction of the power market brings various uncertainties to the operation of the power system, the pressure for ensuring the safe and stable operation of the power system is greater, the safe and stable, economic and efficient operation of the power system is a necessary guarantee for the normal production and life of a country, the reliability and economical efficiency of power supply to users are guaranteed to be indispensible from the density of a power distribution system, and at present, the operation environment of the power system is more complicated along with the increasing of power demand, so the stability analysis work of the power system is increasingly valued by the industry and academia, and the traditional boundary analysis method of the power system stability is based on a point-by-point method, namely, the simulation operation is carried out for each operation point independently, the calculation amount is huge, and the calculation speed is slow. Therefore, a fast searching method for the static voltage stability domain boundary of the electric power system, which is used for searching and matching the stability domain boundary surface data suitable for the electric power system of the user, is designed and applied, and the calculated amount is greatly reduced, meanwhile, a stability domain boundary curved surface model can be well fitted, and the algorithm is combined.
Disclosure of Invention
The invention aims to provide a quick search method for a static voltage stability domain boundary of an electric power system, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a method for quickly searching a static voltage stability domain boundary of an electric power system comprises the following steps:
step one: a system is built by a C/S architecture, an upper platform and an APP are deployed at an application layer, an HTTP protocol and a TCP protocol are applied at a network layer, a cloud server and a stable domain boundary algorithm are built at a data link layer, and a plurality of power systems are accessed at a physical layer;
step two: in the physical layer, a dynamic testing module analyzes dynamic interference existing in the power system, analyzes useful power parameters provided by the power system, and sends analyzed information to a data link layer;
step three: the data link layer converts all the test information into jacobian by using a matrix operation technology, obtains a characteristic value matrix, and then performs double integration on each column of elements to obtain a stable domain boundary surface, and finds concave-convex points of the stable domain boundary surface by using a differential equation;
step four: the user searches the steady-state domain boundary surface model of the data link layer at the application layer, and the algorithm matches the proper steady-state domain boundary surface result for the user according to the actual condition of the power system submitted by the user.
According to the above technical scheme, the system is built by a C/S architecture, an upper platform and an APP are deployed at an application layer, an HTTP protocol and a TCP protocol are applied at a network layer, a cloud server and a stability domain boundary algorithm are built at a data link layer, and a plurality of power systems are accessed at a physical layer, comprising the steps of:
the system is developed and deployed mainly by a Client/Server architecture;
deploying an upper platform and an APP at an application layer;
constructing a cloud server and a stability domain boundary algorithm at a data link layer;
the data interaction between the application layer and the data link layer is mainly realized by applying the HTTP protocol as a main communication protocol in the network layer;
accessing a dynamic test module and a power system in a physical layer;
the data interaction between the physical layer and the data link layer is mainly realized by applying a TCP/UDP protocol as a main communication protocol at the network layer;
between the physical layer dynamic test module and the power system, the Lora gateway is used as a medium for interacting data, one set of power system corresponds to one dynamic test module and mutually forms physical layer nodes, and each node sends data to a data link layer by using a narrow-band Internet of things technology NB-IoT.
According to the above technical scheme, in the physical layer, the dynamic testing module analyzes dynamic interference existing in the power system, analyzes useful power parameters provided by the power system, and sends the analyzed information to the data link layer, which includes:
at the physical layer, a dynamic test module is correspondingly connected into a power system;
after the module and the system are successfully docked and synchronized through the Lora gateway, the power system starts to operate;
the dynamic test module tests the surrounding environment deployed by the power system and the operation environment of the power system, and the test content comprises:
the power system ambient temperature change 01, the ambient humidity 02, the magnetic field interference condition 03, the same-frequency signal interference condition 04, the self temperature 05 when the system operates with high power consumption, and the system ambient white noise interference 06.
Test times T1, T2, T3.
The dynamic test module collects each circuit node circuit diagram of the power system;
the dynamic test module simplifies the circuit diagram by using the Thevenin-Norton equivalent;
then, according to the kirchhoff current law KCL and the kirchhoff voltage law KVL, each node on the circuit diagram is calculated:
static voltage 01, dynamic voltage 02, static current 03, dynamic current 04, output power 05, static operating point 06, dynamic range 07.
The frequency domain signal is converted to a convolved form t1, t2, t3. of the time domain signal using fourier transform.
According to the above technical solution, the step of sending the analyzed information to the data link layer includes:
the dynamic test module sends all tested information to a data link layer through a TCP data frame;
the TCP data frame format is as follows:
BE01/010203040506/T1/01020304050607/t1END；
wherein BE represents: a frame header of the data frame;
01 represents: information data of the power system 1 tested by the test module 1;
010203040506 represents: transmitting the tested system environment parameters in a 16-ary form;
t1 represents: testing time;
01020304050607 represents: transmitting various parameters of useful work provided by the system in a 16-system;
t1 represents: a time range of the frequency domain signal;
END represents: the end of the data frame.
According to the above technical solution, the step of converting all the test information into jacobian by the data link layer by using matrix operation technology, obtaining a eigenvalue matrix, and obtaining a stability domain boundary surface by performing double integration on each column of elements, and finding out concave-convex points of the stability domain boundary surface by using differential equations includes:
the TCP data frame sent by the physical layer is decoded by the cloud server in a 16-system mode;
after the cloud server decodes all the information contained in the TCP data frame, the information is stored in a database in a binary form;
the data link layer calls a stable domain boundary algorithm, extracts all information and codes the information in an 8-ary form to form a jacobian;
taking the time T and T as the first column of each determinant;
by using the surrounding environment parameters and useful work parameters 01, 02 of the power system 03. 77 as a line column elements of each column;
then solving eigenvalue lambda of jacobian to form eigenvalue matrix { lambda };
the stability domain boundary algorithm calls each row and each column of elements in { lambda }, forms double integration, and obtains a stability domain boundary surface;
taking the surrounding environment parameters of the power system as a first re-integration variable x;
taking the test time T as an integration interval of the first re-integration;
taking the useful power parameter of the power system as a second double integral variable y;
taking the time range of the frequency domain signal as an integration interval of the second double integration;
forming a double integral formula:
finally obtaining a stable domain boundary curved surface S;
and then utilizing a differential equation:and->Finally, concave-convex points on the boundary curved surface of the stable domain are obtained;
and then, performing smoothing treatment on the boundary surface of the stable domain by using an FCM clustering algorithm on the premise of adding concave-convex points, and finally obtaining a reference boundary surface model of the stable domain.
According to the technical scheme, the user searches the stable domain boundary surface model of the data link layer at the application layer, and the algorithm matches the proper stable domain boundary surface result for the user according to the actual condition of the power system submitted by the user, and the method comprises the following steps:
the user uses an upper computer platform or APP at an application layer;
submitting the actual situation of the own power system in the search area, and submitting a query request;
the system calls a dynamic test module to pair with the power system of the user;
the pairing is successful, and the module tests various parameters of the user power system;
the tested information passes through a stability domain boundary algorithm at a link layer to obtain a pre-reference stability domain boundary curved surface;
the system carries out fitting comparison treatment on the model and the steady domain boundary curved surface model;
finally obtaining a boundary curved surface of the reference stable domain;
the system then gradually decodes the curved surface data according to each coordinate point on the curved surface;
finally, the reference stable domain boundary surface data are completely decoded into binary information;
the cloud server encodes the binary information into HTTP data frames, and the data frames are sent to an application layer;
the application layer decodes the data frame into Chinese characters and numbers, informs the user of the stability domain boundary of the power system, and naturally contains a plurality of parameters such as static voltage and the like.
According to the above technical solution, the application layer includes:
the upper platform is used for providing search service for users, decoding HTTP data frames sent by the data link layer, and decoding information carried by the data frames into Chinese characters and digital information;
and the APP is used for submitting a request for inquiring the information of the power system by a user, submitting the parameter condition of the power system and checking the data of the stability domain boundary surface of the power system fitted by the system.
According to the above technical solution, the data link layer includes:
the cloud server is used for carrying out 16-system-2-system decoding on the TCP data frame sent by the physical layer and carrying out 2-system-16-system encoding on the HTTP data frame sent by the application layer;
and the stability domain boundary algorithm is used for carrying out 8-ary coding on the 2-ary data and writing the 2-ary data into a jacobian, integrating the determinant data into a stability domain boundary curved surface by using a double integration algorithm, solving concave-convex points on the curved surface by using a differential algorithm, and carrying out smooth processing on the curved surface by using an FCM algorithm to obtain a stability domain boundary curved surface model.
According to the above technical solution, the physical layer includes:
the dynamic test module is used for performing dynamic and static tests on the power system and testing the environmental parameters of the power system and the useful work parameters of the power system;
and the power system is used for carrying out dynamic and static testing by pairing and synchronizing the LoRa gateway and the dynamic testing module.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, a cloud server and an algorithm are constructed on a link layer by arranging an upper platform and an APP on an application layer, a dynamic test module and an electric power system are connected on a physical layer, dynamic interference and useful work parameters of the electric power system are dynamically tested, the link layer uses a matrix technology to convert test information into a jacobian, a characteristic value matrix is obtained, then each column of elements is subjected to double integration to obtain a stable domain boundary surface, concave-convex points of the stable domain boundary surface are found out by a differential equation, a user searches a stable domain boundary surface model of the link layer on the application layer, and the algorithm matches a proper stable domain boundary surface result for the user according to the actual condition of the electric power system of the user, so that the conventional system can use the algorithm, the calculus technology and the Fourier transformation technology to fit the stable domain boundary surface model of the electric power system, and then the algorithm is used for the user to quickly search and match the stable domain boundary surface data of the electric power system, so that the calculated amount of the stable domain boundary is greatly reduced, and the practicability is greatly improved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flowchart of a method for quickly searching a static voltage stability domain boundary of an electric power system according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a module composition of a fast search system for a static voltage stability domain boundary of a power system according to a second embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one: fig. 1 is a flowchart of a method for quickly searching a static voltage stability domain boundary of an electric power system according to an embodiment of the present invention, where the method may be implemented by the method for quickly searching a static voltage stability domain boundary of an electric power system according to the embodiment, and as shown in fig. 1, the method specifically includes the following steps:
step one: a system is built by a C/S architecture, an upper platform and an APP are deployed at an application layer, an HTTP protocol and a TCP protocol are applied at a network layer, a cloud server and a stable domain boundary algorithm are built at a data link layer, and a plurality of power systems are accessed at a physical layer;
in the embodiment of the invention, the system is mainly developed and deployed by a Client/Server architecture, an upper platform and an APP are deployed on an application layer, a cloud Server and a stable domain boundary algorithm are constructed on a data link layer, data interaction between the application layer and the data link layer is mainly realized by using an HTTP protocol as a main communication protocol on a network layer, a dynamic test module and a power system are accessed on a physical layer, data interaction between the physical layer and the data link layer is mainly realized by using a TCP/UDP protocol as a main communication protocol on the network layer, a Lora gateway is used as a medium for interacting data between the dynamic test module and the power system, a set of power system corresponds to one dynamic test module and mutually forms physical layer nodes, and each node transmits data to the data link layer by using a narrow-band Internet of things technology NB-IoT.
Step two: in the physical layer, a dynamic testing module analyzes dynamic interference existing in the power system, analyzes useful power parameters provided by the power system, and sends analyzed information to a data link layer;
s21: in the embodiment of the invention, at the physical layer, a dynamic test module is correspondingly connected into an electric power system, after the module and the system are successfully connected and synchronized through the Lora gateway, the electric power system starts to operate, the dynamic test module tests the surrounding environment deployed by the electric power system and the operating environment of the electric power system, and the test contents comprise: ambient temperature change in the power system: 01. ambient humidity 02, magnetic field interference 03, co-frequency signal interference 04, temperature of the system itself when operating with high power consumption 05, gaussian white noise interference 06 around the system.
S22: the dynamic test module collects each circuit node circuit diagram of the power system, the dynamic test module simplifies the circuit diagram by using the Thevenin-Norton equivalent, and then obtains the static voltage 01, the dynamic voltage 02, the static current 03 and the dynamic current 04 of each node on the circuit diagram according to the kirchhoff current law KCL and the kirchhoff voltage law KVL, the output power 05, the static working point 06 and the dynamic range 07.
S23: the dynamic test module sends all tested information to the data link layer through TCP data frames, and the format of the TCP data frames is as follows: BE01/010203040506/T1/01020304050607/T1END, wherein BE represents: frame header of data frame, 01 stands for: information data of the power system 1 tested by the test module 1,/010203040506 represents: the system environment parameters of the test are sent in 16-ary form,/T1 represents: test time,/01020304050607 represents: the parameters of useful work provided by the 16-ary transmission system,/t 1 represents: time range of the frequency domain signal, END represents: the end of the data frame.
Step three: the data link layer converts all the test information into jacobian by using a matrix operation technology, obtains a characteristic value matrix, and then performs double integration on each column of elements to obtain a stable domain boundary surface, and finds concave-convex points of the stable domain boundary surface by using a differential equation;
in the embodiment of the invention, a TCP data frame sent by a physical layer is decoded by a cloud server in a 16-system mode, after the cloud server decodes all information contained in the TCP data frame, the information is stored in a database in a binary form, a data link layer calls a stable domain boundary algorithm, all the information is extracted and encoded in an 8-system form to form a jacobian, so thatTime T and T are used as the first columns of each column of the determinant, the surrounding environment parameter and the useful work parameter 01, 02 and 03 are used as the column elements of each column of the determinant, the eigenvalue lambda is calculated for the jacobian to form an eigenvalue matrix { lambda }, the stability domain boundary algorithm calls each row of elements in { lambda }, and forms double integral, so as to calculate a stability domain boundary surface, the surrounding environment parameter of the electric power system is used as a first double integral variable x, the test time T is used as an integral interval of the first double integral, the useful work parameter of the electric power system is used as a second double integral variable y, and the time range of the frequency domain signal is used as an integral interval of the second double integral, so as to form a double integral formula:finally, a stable domain boundary curved surface S is obtained, and then a differential equation is utilized: />And->Finally, concave-convex points on the boundary surface of the stable domain are obtained, and then the FCM clustering algorithm is utilized to carry out smoothing treatment on the boundary surface of the stable domain on the premise of adding the concave-convex points, so that a model of the boundary surface of the stable domain for reference is finally obtained.
Step four: searching a stable domain boundary surface model of a data link layer by a user at an application layer, and matching a proper stable domain boundary surface result for the user by an algorithm according to the actual condition of a power system submitted by the user;
in the embodiment of the invention, a user uses an upper computer platform or APP at an application layer, submits the actual situation of an own power system at a search area, submits a query request, a dynamic test module is called by the system to pair with the power system of the user, the pairing is successful, the module tests various parameters of the power system of the user, the tested information obtains a pre-reference stable domain boundary curved surface through a stable domain boundary algorithm at a link layer, the system carries out fitting comparison processing on the pre-reference stable domain boundary curved surface and a stable domain boundary curved surface model to finally obtain a reference stable domain boundary curved surface, the system then gradually decodes curved surface data according to each coordinate point on the curved surface, finally decodes the reference stable domain boundary curved surface data into binary information, a cloud server encodes the binary information into an HTTP data frame, the data frame is sent to the application layer, the application layer decodes the data frame into Chinese characters and numbers, informs the user of the stable domain boundary of the power system, and the boundary naturally contains a plurality of parameters such as static voltage;
compared with the existing electric power system stability domain boundary searching method in the market, the system uses the Thevenin-Norton equivalent method, the KCL and KCL methods, the Fourier transform technology, the jacobian conversion, the double integration, the binary conversion and the data frame coding and decoding technology, firstly performs dynamic and static tests on a large number of electric power systems, and fits the test information into a stability domain boundary curved surface model by using the method and the technology, so that after a user submits electric power system parameters, the system can quickly search the stability domain boundary suitable for the electric power system of the user according to the model, the system can refer to all details of the electric power system of the user to fit the stability domain boundary surface suitable for the electric power system of the user, and the practicability of the method is greatly improved.
Embodiment two: the second embodiment of the present invention provides a fast search system for a static voltage stability domain boundary of an electric power system, and fig. 2 is a schematic diagram of module components of the fast search system for a static voltage stability domain boundary of an electric power system, as shown in fig. 2, where the system includes:
the application layer is used for providing a deployment environment for the upper platform and the APP, performing data interaction with the data link layer and providing search service for users;
the data link layer is used for providing a deployment environment for the cloud server, the database and the stability domain boundary algorithm, transmitting various data to an upper layer and a lower layer, and encoding and decoding data frames;
the physical layer is used for providing a deployment environment for the dynamic test module and the power system, receiving data issued by an upper layer, encoding test information into a data frame and sending the data frame to the link layer;
in some embodiments of the invention, the application layer comprises:
the upper platform is used for providing search service for users, decoding HTTP data frames sent by the data link layer, and decoding information carried by the data frames into Chinese characters and digital information;
APP, which is used for submitting a request for inquiring information of the power system by a user, submitting parameter conditions of the power system, and checking data of a stable domain boundary surface of the power system fitted by the system;
in some embodiments of the invention, the data link layer comprises:
the cloud server is used for carrying out 16-system-2-system decoding on the TCP data frame sent by the physical layer and carrying out 2-system-16-system encoding on the HTTP data frame sent by the application layer;
the stability domain boundary algorithm is used for carrying out 8-ary coding on the 2-ary data and writing the 2-ary data into a jacobian, integrating the determinant data into a stability domain boundary curved surface by using a double integration algorithm, solving concave-convex points on the curved surface by using a differential algorithm, and carrying out smooth processing on the curved surface by using an FCM algorithm to obtain a stability domain boundary curved surface model;
in some embodiments of the invention, the physical layer comprises:
the dynamic test module is used for performing dynamic and static tests on the power system and testing the environmental parameters of the power system and the useful work parameters of the power system;
and the power system is used for carrying out dynamic and static testing by pairing and synchronizing the LoRa gateway and the dynamic testing module.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A rapid searching method for a static voltage stability domain boundary of an electric power system is characterized by comprising the following steps: the method comprises the following steps:
step one: a system is built by a C/S architecture, an upper platform and an APP are deployed at an application layer, an HTTP protocol and a TCP protocol are applied at a network layer, a cloud server and a stable domain boundary algorithm are built at a data link layer, and a plurality of power systems are accessed at a physical layer;
step two: in the physical layer, a dynamic testing module analyzes dynamic interference existing in the power system, analyzes useful power parameters provided by the power system, and sends analyzed information to a data link layer;
step three: the data link layer converts all the test information into jacobian by using a matrix operation technology, obtains a characteristic value matrix, and then performs double integration on each column of elements to obtain a stable domain boundary surface, and finds concave-convex points of the stable domain boundary surface by using a differential equation;
step four: the user searches the steady-state domain boundary surface model of the data link layer at the application layer, and the algorithm matches the proper steady-state domain boundary surface result for the user according to the actual condition of the power system submitted by the user.
2. The method for quickly searching the boundary of the static voltage stability domain of the power system according to claim 1, wherein the method comprises the following steps: the system is built by a C/S architecture, an upper platform and an APP are deployed at an application layer, an HTTP protocol and a TCP protocol are applied at a network layer, a cloud server and a stable domain boundary algorithm are built at a data link layer, and a plurality of electric power systems are accessed at a physical layer, and the method comprises the following steps:
the system is developed and deployed mainly by a Client/Server architecture;
deploying an upper platform and an APP at an application layer;
constructing a cloud server and a stability domain boundary algorithm at a data link layer;
the data interaction between the application layer and the data link layer is mainly realized by applying the HTTP protocol as a main communication protocol in the network layer;
accessing a dynamic test module and a power system in a physical layer;
the data interaction between the physical layer and the data link layer is mainly realized by applying a TCP/UDP protocol as a main communication protocol at the network layer;
between the physical layer dynamic test module and the power system, the Lora gateway is used as a medium for interacting data, one set of power system corresponds to one dynamic test module and mutually forms physical layer nodes, and each node sends data to a data link layer by using a narrow-band Internet of things technology NB-IoT.
3. The method for quickly searching the boundary of the static voltage stability domain of the power system according to claim 1, wherein the method comprises the following steps: the step of analyzing the dynamic interference existing in the power system by the dynamic test module at the physical layer, analyzing the useful work parameter provided by the power system, and transmitting the analyzed information to the data link layer comprises the following steps:
at the physical layer, a dynamic test module is correspondingly connected into a power system;
after the module and the system are successfully docked and synchronized through the Lora gateway, the power system starts to operate;
the dynamic test module tests the surrounding environment deployed by the power system and the operation environment of the power system, and the test content comprises:
the power system ambient temperature change 01, the ambient humidity 02, the magnetic field interference condition 03, the same-frequency signal interference condition 04, the self temperature 05 when the system operates with high power consumption, and the system ambient white noise interference 06.
Test times T1, T2, T3.
The dynamic test module collects each circuit node circuit diagram of the power system;
the dynamic test module simplifies the circuit diagram by using the Thevenin-Norton equivalent;
then, according to the kirchhoff current law KCL and the kirchhoff voltage law KVL, each node on the circuit diagram is calculated:
static voltage 01, dynamic voltage 02, static current 03, dynamic current 04, output power 05, static operating point 06, dynamic range 07.
The frequency domain signal is converted to a convolved form t1, t2, t3. of the time domain signal using fourier transform.
4. A step of sending the analyzed information to a data link layer according to claim 3, comprising:
the dynamic test module sends all tested information to a data link layer through a TCP data frame;
the TCP data frame format is as follows:
BE 01/010203040506/T1/01020304050607/t1 END；
wherein BE represents: a frame header of the data frame;
01 represents: information data of the power system 1 tested by the test module 1;
010203040506 represents: transmitting the tested system environment parameters in a 16-ary form;
t1 represents: testing time;
01020304050607 represents: transmitting various parameters of useful work provided by the system in a 16-system;
t1 represents: a time range of the frequency domain signal;
END represents: the end of the data frame.
5. The method for quickly searching the boundary of the static voltage stability domain of the power system according to claim 1, wherein the method comprises the following steps: the data link layer converts all the test information into jacobian by using matrix operation technology, obtains a characteristic value matrix, and then obtains a stable domain boundary surface by performing double integration on each column of elements, and finds out concave-convex points of the stable domain boundary surface by using differential equations, comprising the following steps:
the TCP data frame sent by the physical layer is decoded by the cloud server in a 16-system mode;
after the cloud server decodes all the information contained in the TCP data frame, the information is stored in a database in a binary form;
the data link layer calls a stable domain boundary algorithm, extracts all information and codes the information in an 8-ary form to form a jacobian;
taking the time T and T as the first column of each determinant;
by using the surrounding environment parameters and useful work parameters 01, 02 of the power system 03. 77 as a line column elements of each column;
then solving eigenvalue lambda of jacobian to form eigenvalue matrix { lambda };
the stability domain boundary algorithm calls each row and each column of elements in { lambda }, forms double integration, and obtains a stability domain boundary surface;
taking the surrounding environment parameters of the power system as a first re-integration variable x;
taking the test time T as an integration interval of the first re-integration;
taking the useful power parameter of the power system as a second double integral variable y;
taking the time range of the frequency domain signal as an integration interval of the second double integration;
forming a double integral formula:
finally obtaining a stable domain boundary curved surface S;
and then utilizing a differential equation:and->Finally, concave-convex points on the boundary curved surface of the stable domain are obtained;
and then, performing smoothing treatment on the boundary surface of the stable domain by using an FCM clustering algorithm on the premise of adding concave-convex points, and finally obtaining a reference boundary surface model of the stable domain.
6. The method for quickly searching the boundary of the static voltage stability domain of the power system according to claim 1, wherein the method comprises the following steps: the user searches the steady-state domain boundary surface model of the data link layer at the application layer, and the algorithm matches the proper steady-state domain boundary surface result for the user according to the actual condition of the power system submitted by the user, and the method comprises the following steps:
the user uses an upper computer platform or APP at an application layer;
submitting the actual situation of the own power system in the search area, and submitting a query request;
the system calls a dynamic test module to pair with the power system of the user;
the pairing is successful, and the module tests various parameters of the user power system;
the tested information passes through a stability domain boundary algorithm at a link layer to obtain a pre-reference stability domain boundary curved surface;
the system carries out fitting comparison treatment on the model and the steady domain boundary curved surface model;
finally obtaining a boundary curved surface of the reference stable domain;
the system then gradually decodes the curved surface data according to each coordinate point on the curved surface;
finally, the reference stable domain boundary surface data are completely decoded into binary information;
the cloud server encodes the binary information into HTTP data frames, and the data frames are sent to an application layer;
the application layer decodes the data frame into Chinese characters and numbers, informs the user of the stability domain boundary of the power system, and naturally contains a plurality of parameters such as static voltage and the like.
7. A rapid search system for a static voltage stability domain boundary of an electric power system is characterized in that: the system comprises:
the application layer is used for providing a deployment environment for the upper platform and the APP, performing data interaction with the data link layer and providing search service for users;
the data link layer is used for providing a deployment environment for the cloud server, the database and the stability domain boundary algorithm, transmitting various data to an upper layer and a lower layer, and encoding and decoding data frames;
and the physical layer is used for providing a deployment environment for the dynamic test module and the power system, receiving data issued by an upper layer, encoding test information into a data frame and transmitting the data frame to the link layer.
8. A rapid search system for a static voltage stability domain boundary of an electrical power system as claimed in claim 7, wherein: the application layer comprises:
the upper platform is used for providing search service for users, decoding HTTP data frames sent by the data link layer, and decoding information carried by the data frames into Chinese characters and digital information;
and the APP is used for submitting a request for inquiring the information of the power system by a user, submitting the parameter condition of the power system and checking the data of the stability domain boundary surface of the power system fitted by the system.
9. A rapid search system for a static voltage stability domain boundary of an electrical power system as claimed in claim 7, wherein: the data link layer includes:
the cloud server is used for carrying out 16-system-2-system decoding on the TCP data frame sent by the physical layer and carrying out 2-system-16-system encoding on the HTTP data frame sent by the application layer;
and the stability domain boundary algorithm is used for carrying out 8-ary coding on the 2-ary data and writing the 2-ary data into a jacobian, integrating the determinant data into a stability domain boundary curved surface by using a double integration algorithm, solving concave-convex points on the curved surface by using a differential algorithm, and carrying out smooth processing on the curved surface by using an FCM algorithm to obtain a stability domain boundary curved surface model.
10. A rapid search system for a static voltage stability domain boundary of an electrical power system as claimed in claim 7, wherein: the physical layer includes:
the dynamic test module is used for performing dynamic and static tests on the power system and testing the environmental parameters of the power system and the useful work parameters of the power system;
and the power system is used for carrying out dynamic and static testing by pairing and synchronizing the LoRa gateway and the dynamic testing module.
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