CN112394708B - Intelligent Internet of things management virtual test method for power grid safety and stability control system - Google Patents
Intelligent Internet of things management virtual test method for power grid safety and stability control system Download PDFInfo
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Abstract
The invention discloses an intelligent Internet of things management virtual test method for a power grid safety and stability control system, which is characterized by firstly networking a stable control device in a transformer substation into a cloud server data platform based on an intelligent Internet of things technology; then, a virtual machine technology is applied, and a stable control device virtual machine is generated on the intelligent Internet of things platform in a mirror mode based on a control strategy of a stable control device in actual field operation; further, a virtual stability control system and an intelligent internet of things platform thereof are established on the basis of the stability control device virtual machine; secondly, establishing a stability control system management and test master station based on the intelligent internet of things platform to realize the functions of full scene display and field stability control device management of the stability control system; and finally, carrying out the integral test of the stability control system and the single test of the field stability control device through the virtual machine of the stability control device. The method can effectively, reliably, completely and efficiently test a huge and complex stability control system strategy in the power grid on the premise of not withdrawing from an actual operation device of a power plant or a transformer substation.
Description
Technical Field
The invention relates to management, joint debugging and inspection of a power grid safety and stability control system based on an intelligent Internet of things, in particular to an intelligent Internet of things management virtual test method of the power grid safety and stability control system.
Background
With the rapid development of extra-high voltage alternating current and direct current and new energy, the scale of a power grid system is larger and larger, the requirement of the power grid on a safety and stability control system (a stability control system) is higher and higher, the scale of the power grid safety and stability control system is continuously increased, and the strategy complexity is continuously increased. Meanwhile, based on the development of the cloud computer technology and the construction of the intelligent Internet of things, how to utilize the latest technical means to improve the intelligent levels of management of the stability control system and overall system test in the power grid has important practical significance on safe and stable operation of the power grid.
The existing management method of the stability control system mainly utilizes a computer networking technology to access a safety and stability control device (a stability control device) of each transformer substation into a stability control system management machine in a networking mode, the management machine calls the stability control device of a station end periodically or actively sends collected data, and the management machine mainly comprises electric quantity, element switching-in and switching-off states, an operation mode, pressing plate and switching-in states, abnormal alarms, action reports, wave recording, fixed values and the like. The data information collection is incomplete, only the basic management requirements can be met, and the real-time management on the stability control device and the stability control system cannot be carried out.
At present, joint debugging, inspection and testing of a power grid stability control system mainly adopt manual dosage testing, the testing mode is single point-to-point testing, the testing efficiency is low, the strategy matching testing is difficult, and comprehensive verification of the strategy is difficult to achieve. Partial remote testing mainly adopts a manual arrangement testing device in a transformer substation, external voltage, current and interactive information are applied to a stability control device by using the testing device, device inspection testing is carried out in a sequence mode on the basis of a fault time sequence, the dynamic characteristic of an original system is lost, and a test result is difficult to reflect the real condition of the system.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the defects of the existing power grid stability control system testing technology, the invention provides an intelligent Internet of things management virtual testing method for a power grid safety and stability control system. The method is beneficial to developing the operation and maintenance management of the stability control system and realizing the remote test of the stability control system.
The technical scheme is as follows: a virtual test method for intelligent Internet of things management of a power grid safety and stability control system comprises the steps of constructing a virtual stability control system, and carrying out virtual test on the stability control system based on a virtual machine of a stability control device, wherein the virtual test method comprises the following steps:
(1) networking a stable control device in a transformer substation into a cloud server data platform, wherein an access channel meets the requirements of real-time synchronous transmission of big data and secondary safety protection of a power grid;
(2) a stable control device virtual machine is generated on the basis of a control strategy of a stable control device of the transformer substation in a mirroring mode on the intelligent Internet of things platform;
(3) building a virtual stability control system, networking virtual machines of the stability control devices of the transformer substations, building the virtual stability control system on the basis of the virtual machines of the stability control devices, generating the virtual machines of the stability control devices by mirroring actual stability control devices in the transformer substations, and synchronizing the sampling data and the state of the stability control devices in real time;
(4) establishing a stability control system intelligent Internet of things platform: networking a debugging network port on a stability control device into a cloud server data platform to realize data model reading, strategy calling and issuing, device state parameter uploading and test testing of the device;
(5) establishing a stable control management and test main station: establishing a stability control management and test master station based on an intelligent internet of things platform, and realizing the full scene display and field stability control device management functions of the stability control system by using a stability control device virtual machine;
(6) and the stable control device test comprises the step of carrying out the stable control system virtual test and the field device test through the stable control device virtual machine.
Further, the step (2) of generating the virtual machine refers to generating the virtual machine of the stability control device on the intelligent internet of things platform by using a virtual machine technology and based on a control strategy of a field actual stability control device, and specifically includes the following steps:
(21) the virtual machine hierarchical framework comprises the following steps: the stability control device virtual machine comprises a driving layer and an application layer; the driving layer is strategy model software codes of different stability control devices, reads data volume information in real time, calls a stability control device strategy criterion to generate action information, supports single step, breakpoint and condition debugging of the stability control strategy criterion, and outputs the action of the stability control device in a variable mode; the application layer is a virtual driver of a virtual machine and comprises three parts of virtual sampling, virtual action and a virtual communication port;
(22) establishing a stable control device virtual machine: the stability control device virtual machine is built in the intelligent internet of things platform based on a software algorithm, is generated by a field stability control device mirror image and comprises five modules of a virtual sampling module, a virtual action module, a strategy model and a virtual communication port;
(23) virtual machine data acquisition: the field stability control device acquires voltage and current through a mutual inductor to obtain virtual sampling data, and the virtual sampling data is processed and stored in the field stability control device, and meanwhile, a data acquisition API is called through a data network to finish data cloud storage of the intelligent Internet of things platform; meanwhile, the virtual action data of the stability control device can be sent by the cloud end through a data acquisition API, and the virtual information comprises the action message, the action information and the device information of the stability control device.
Further, the step (3) of building the virtual stability control system refers to virtually networking the transformer substation stability control device virtual machines, and building the virtual stability control system based on the stability control device virtual machines. The stability control device virtual machine is generated by the mirror image of the actual stability control device in each transformer substation, and the real-time synchronization device samples data and device states.
Further, the step (4) of establishing the intelligent internet of things platform of the stability control system means that under the condition that the stability control device is configured with a debugging network port, the requirements of reading a device data model, issuing a strategy call, uploading device state parameters, testing and debugging and the like can be met by utilizing an algorithm program. After a stable control device in the stable control system is debugged and networked with a cloud server data platform, intelligent Internet of things platform application software of the stable control system of the cloud server is developed based on the existing stable control device debugging program.
Further, step (5) establishes a stable control management and test master station; a stability control management and test master station is established based on an intelligent Internet of things platform, and the full scene display and field device management functions of the stability control system are realized by using a stability control device virtual machine. The remote control and operation and maintenance management of the stability control system are realized, the operation and maintenance management of the stability control system is realized, and support is provided for system operation management, display and data processing application.
Further, the step (6) of testing the stability control device includes performing virtual testing on the stability control device virtual machine or synchronously inputting the test command into different stability control devices based on the stability control device virtual machine, testing the stability control system, returning action result information through the stability control device virtual machine, and comparing and checking the action result information.
Further, the step (6) further comprises a master station test, wherein the test steps are as follows:
(61) sending the test command to a stable control device virtual machine, and finishing the stable control system virtual test by the stable control device virtual machine, or sending the test command to each device by the stable control device virtual machine to finish the remote test;
(62) the control function is used for sending the command to the stability control device virtual machine and returning result information through the stability control device virtual machine;
(63) acquiring and comparing action information through a virtual machine of the stability control device, and judging whether an action result is correct or not;
(64) remotely modifying and issuing each stable control device strategy through the stable control device virtual machine;
(65) and monitoring and managing the state information and networking information of each stable control device in the stable control system in real time.
Has the advantages that: compared with the prior art, the method is based on the cloud computing technology, an intelligent internet of things platform is constructed, a complete power grid safety and stability control virtual system is constructed based on a stability control device virtual mechanism, the operation and maintenance management of the stability control system is developed, meanwhile, a test command is subjected to virtual test through a stability control device virtual machine or is synchronously input into different stability control devices, and the stability control system is subjected to remote test. On the other hand, on the premise of not exiting the actual device, the system management and the test are effectively, reliably, completely and efficiently carried out on the large and complex stability control system strategy of the power grid. The operation and maintenance management technical level of the stability control system is enhanced, and meanwhile, the test and inspection of the system strategy are effectively carried out through virtual joint debugging and on-site remote joint debugging, so that hidden dangers brought to safe and stable operation of a power grid are avoided.
Drawings
FIG. 1 is a schematic diagram of a power grid stability control system management and test networking according to the method of the present invention;
FIG. 2 is a diagram of a virtual machine model of a stability control device according to the present invention;
FIG. 3 is a flow chart of a testing method of the present invention;
fig. 4 is a data model diagram of a virtual machine of the stability control device of the present invention.
Detailed Description
For the purpose of illustrating the technical solutions disclosed in the present invention in detail, the following description is further provided with reference to the accompanying drawings and specific embodiments. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The method is used for constructing the intelligent Internet of things platform of the stability control system based on the intelligent Internet of things, and the platform comprises a stability control management and test master station and virtual machines of stability control devices of all transformer substations. Virtual networking is carried out among the virtual machines of the stability control devices of all the transformer substations, and a virtual stability control system is established on the basis of the virtual machines of the stability control devices. The stability control device virtual machine is generated by the mirror image of the actual stability control device in each transformer substation, and the real-time synchronization device samples data and device states.
For a stability control system formed by interconnection of stability control devices in each plant station in a power grid, the system is recovered to a control system in a normal operation state by executing various emergency control measures after an emergency state occurs in the power grid system. The power system safety and stability control comprises prevention control, emergency control and recovery control.
As shown in fig. 1, an intelligent internet of things management virtual test method for a power grid safety and stability control system mainly includes an intelligent internet of things platform, a stability control device virtual machine, a stability control system management and test main station, and a power plant and transformer station end stability control device.
The intelligent Internet of things platform: the intelligent internet of things platform is based on a cloud computing technology, and by means of the intelligent internet of things technology, the stable control devices of all the transformer substations are connected into the cloud server data platform, and the access channels meet the requirements of real-time synchronous transmission of big data and secondary safety protection of a power grid. The current stability control device applied in the power grid is provided with a debugging network port, and the requirements of device data model reading, strategy calling and issuing, device state parameter uploading, test debugging and the like can be met by utilizing a special debugging tool. The method comprises the steps of networking a debugging network port of a stability control device in the system into a cloud server data platform, constructing an intelligent internet of things platform, developing cloud server application software based on the existing debugging program of the stability control device, and applying a cloud computing framework to the intelligent internet of things platform of the stability control system, so that the processing computing capacity can be effectively improved, and the informatization and intelligentization level of the power grid stability control system is improved.
Stably controlling the virtual machine of the device: and a virtual machine technology is applied, and a stable control device virtual machine is generated on the intelligent Internet of things platform in a mirror image mode based on a control strategy of a field actual stable control device. The stability control device virtual machine directly reads the strategy of the field device, generates the virtual machine according to the strategy, calls the field device to sample data, running state, device message and forwarding information in real time, synchronously and virtually simulates the field device, and meets the system management requirement. The stability control device virtual machines support the calling, issuing and changing of strategies and fixed values of field devices, and are connected in a virtual networking mode according to the stability control channel condition to simulate the power grid stability control system.
The stability control system manages and tests the main station: the system has the full scene display function of the stability control system, sends test commands and test data to the stability control device virtual machine, receives the action, export information and the like of the stability control device virtual machine, judges whether the test process is correct or not according to the action, export information and the like, records the test data and the test result, and manages each plant end stability control device through the stability control device virtual machine. The management and test master station of the stability control system is used as an intelligent internet of things platform pivot, and the stability control system test of the regional power grid can be carried out through the stability control device virtual machine, so that on one hand, the stability control device virtual machine sends a test command to carry out virtual test, and meanwhile, the virtual machine can also synchronously input the test command into the stability control devices of different plant stations to be tested for remote test; on the other hand, fault information of the on-site stable control device action, export information of the device action and the like are collected through the stable control device virtual machine, and the fault information is automatically compared with a preset simulation expected action result, so that the automation degree of the test is increased.
More specifically, the virtual machine hierarchy: the virtual machine adopts a layered software framework to read field sampling data, original running state, measurable information and the like in real time, and synchronous simulation of the field stability control device is realized. Based on the characteristics of the stability control device, the virtual machine of the stability control device adopts a 2-layer software framework which is a driving layer and an application layer respectively. The driving layer is strategy model software codes of different stability control devices, is the core of the virtual machine, reads data volume information in real time, and calls a strategy criterion of the stability control device to generate action information. And meanwhile, single step, breakpoint and condition debugging of strategy criteria of the stability control device are supported, and the actions of the stability control device are output in a variable mode. The application layer is mainly a virtual driver of a virtual machine and comprises three parts of virtual sampling, virtual action and a virtual communication port. The virtual sampling can read the data volume information of the field stability control device, simultaneously supports reading a wave recording data file, supports reading analog quantity and input quantity data, and supports batch data verification input. The virtual action supports variable action information of a driving layer and is compiled into a uniform format message which can be sent out, and the message mainly comprises a cutter command, a state forwarding command and other interaction information of a stability control device. The virtual communication port supports the forwarding, receiving and compiling of messages in a unified format among the virtual machines of the stability control devices, provides support for virtual networking of the virtual machines of the stability control devices in the system, simultaneously sends management information required by the main station to the upper stability control supporting management and testing main station, and calls and changes various testing commands and data issued by the lower stability control supporting management and testing main station.
Establishing a stable control device virtual machine: the stability control device virtual machine is built in an intelligent internet of things platform based on a software algorithm and is generated by a field stability control device mirror image, and as shown in fig. 2, the virtual machine comprises five modules of 'virtual sampling', 'virtual action', 'strategy model' and 'virtual communication port'.
The 'virtual sampling' corresponds to sampling of the stability control device virtually, sampling information of the field device can be called in real time, and sampling of the field device can be called once every few milliseconds/seconds/minute according to requirements and actual needs of the stability control system.
The virtual sampling is used for sampling a virtual machine of the stability control device, receiving test command information in the test process, providing data basis for judging the action of the strategy model, and issuing the test command information to the field device. The virtual action corresponds to an action outlet of the stability control device, virtual action information is generated according to a judgment result of the strategy model, and message information of the field device can be called in real time. The strategy model is generated after the stability control device virtual machine calls the internal strategy of the field stability control device, is a core module of the stability control device virtual machine, simulates the action characteristic of the field device, and can issue the latest strategy to the field device. The virtual communication port provides virtual connection networking of the virtual machines of the stability control devices, and forwards the action information quantity and the communication information of the virtual machines of each stability control device according to the action result of the strategy model, so as to provide communication support for the virtual stability control system.
Virtual machine data acquisition: the intelligent internet of things platform is built in the cloud server, and a virtual stability control system and a stability control management and test master station are built together with an operating system and a functional application program according to the resources such as storage, calculation and a CPU distributed by the cloud server and according to the data of the on-site stability control device.
Data acquisition of the field stability control device is the most important content of the virtual machine, and a unified data acquisition API is developed in the intelligent internet of things platform. The field stability control device acquires virtual sampling data such as voltage, current and the like through the mutual inductor, and the virtual sampling data is processed and stored in the field stability control device, and meanwhile, a data acquisition API is called through a data network, so that data cloud storage of the intelligent Internet of things platform is completed. Meanwhile, virtual action data such as action messages, action information and device information of the device can be uploaded on the cloud end through the data acquisition API. After the data acquisition API finishes data uploading and cloud storage, the field data can be completely scheduled by the virtual machine and the intelligent Internet of things platform, and the work of the field device is not influenced.
As shown in fig. 3, the method of the present invention is based on the virtual machine of the stability control device, and the test command is virtually tested by the virtual machine of the stability control device or is synchronously input into different stability control devices, the stability control system is tested, and the action result information is returned by the virtual machine of the stability control device, and is compared and checked.
The main test flow is as follows:
1) preparing a test command, wherein the test command can simulate related faults according to fault simulation software and a stability control system to be tested, and generates a COMTRADE file containing voltage and current magnitude or wave recording data generated by a simulation tool; the test command can adopt recording data actually generated by field faults to carry out fault playback test on the faults which occur; according to the characteristics of the stability control device, the test command can also be directly set in the test area by adopting test data;
2) the stability control management and test master station imports the settlement result file, analyzes, reconfigures and issues the settlement result file, and sends the analyzed voltage and current magnitude data and the test data to the corresponding stability control device virtual machine;
3) and the stability control management and test master station sets action time by adopting configuration and simulation control software, sends a time instruction to all stability control device virtual machines, and after the time is up, the stability control device virtual machines generate a simulation action result according to the voltage and current magnitude data, the test data and the device strategy, and forwards the simulation action result to the stability control management and test master station to automatically compare with a preset expected action result so as to complete virtual test.
4) The stability control device virtual machine sends the time instruction to a corresponding stability control device in the transformer substation, after the time is up, the stability control device virtual machine synchronously plays back according to the voltage and current magnitude data and the test data, the voltage and current magnitude data and the test data are added into the stability control device to be tested at the same time, and field device testing is carried out;
5) and the stability control device virtual machine recovers the stability control device action interface information and forwards the stability control device action interface information to the stability control management and testing main station to automatically compare with a preset expected action result.
The stability control management test and the main station have the specific test functions that:
1) sending the test command to a stable control device virtual machine, and finishing the stable control system virtual test by the stable control device virtual machine, or sending the test command to each device by the stable control device virtual machine to finish the remote test;
2) the control function is used for sending the command to the stability control device virtual machine and returning result information through the stability control device virtual machine;
3) acquiring and comparing action information through a virtual machine of the stability control device, and judging whether an action result is correct or not;
4) remotely modifying and issuing each stable control device strategy through the stable control device virtual machine;
5) and monitoring and managing the state information and networking information of each stable control device in the stable control system in real time.
The management functions of the stable control management and test main station are as follows: the stability control management and test master station is based on a stability control device virtual machine and uniformly accesses the field stability control device to the intelligent Internet of things platform in a distributed acquisition mode. The virtual machine of the stability control device is utilized to realize the visual display, remote control and operation and maintenance management of the stability control system, realize the operation and maintenance management of the stability control system and provide technical support for the operation management, display and data processing application of the system.
As shown in fig. 4, the stability control device virtual machine divides data called and issued from the site into a measurement point model and a strategy model according to the management requirements of the stability control system. The measuring point model comprises an electric quantity, an input quantity, a device fixed value, action information and an alarm signal. The strategy model comprises a logic node, a data set, a logic device, a report control block and a constant value control block, and describes the strategy application function data of the field stability control device. The measuring point model and the strategy model establish analog quantity, state quantity and device strategy association with the stability control device virtual machine through a data network, and are uniformly accessed to the stability control management and testing master station after different virtual communication ports are configured aiming at different field device communication protocols. And the stability control management and test master station analyzes the measuring point model and the strategy model communicated with the virtual machines of the stability control devices in each transformer substation, and realizes the functions of remote control, visual display, strategy early warning and the like of the stability control system.
Taking a stability control system of a power grid in a certain area as an example, the stability control system comprises a transformer substation A stability control device, a transformer substation B stability control device and a transformer substation C stability control device, a stability control device virtual machine is generated in an intelligent Internet of things platform according to the image of the transformer substation stability control device shown in figure 1, and the virtual machine is accessed to a stability control management and test master station.
The strategy type of the transformer substation A stability control device is as follows: and (5) overload of a main transformer.
The safety and stability control measures of the transformer substation A stability control device are as follows: main transformation current > Ig, t > Tg cuts off the executive station load DP. Wherein Ig is a constant current value, Tg is a constant time value, and DP is a load shedding amount.
The transformer substation A stability control device has a safety and stability control fixed value: Ig-360A, Tg-20 s, DP-1.1 (Pg-Pset), Pset-130 MW, where Pg is the main power.
The transformer substation B stability control device strategy type: and performing load cutting measures, namely cutting the load DP1 of the station.
The strategy type of the transformer substation C stability control device is as follows: and performing load cutting measures, namely cutting the load DP2 of the station.
Virtual test (test command adopts recording data):
1) the simulation tool generates recording data of voltage and current of the transformer substation B and C stability control devices;
2) the wave recording data are transmitted to a transformer substation B stability control device virtual machine by a stability control management and test master station, and the stability control device virtual machine generates a load DP1 of the substation which is 20MW according to a strategy model;
3) the wave recording data are issued to a transformer substation C stability control device virtual machine by a stability control management and test master station, and the stability control device virtual machine generates the load DP2 of the substation to 13MW according to a strategy model;
4) the transformer substation B stability control device virtual machine and the transformer substation C stability control device virtual machine send the load of the substation to the transformer substation A stability control device virtual machine through the virtual networking channel;
5) the simulation tool generates main transformer overload wave recording data containing voltage and current magnitude of the transformer substation A stability control device, and the wave recording data is issued to a virtual machine of the transformer substation A stability control device by a stability control management and test master station;
6) a virtual machine of a transformer substation A stability control device generates virtual sampling according to a strategy model, wherein a main transformer current Ig is 400A, and a main transformer power Pg is 160MW, so that action conditions are met;
7) the virtual machine strategy of the transformer substation A stability control device meets the action condition, the main transformer overload strategy acts after delaying for 20s, the load shedding DP of the action result is 1.1 x (160-;
8) the transformer substation B stability control device virtual machine receives a transformer substation A stability control device virtual machine action command through a virtual networking, executes a local station load shedding amount 20MW command, and sends an action message to a stability control management and testing master station;
9) the transformer substation C stability control device virtual machine receives a transformer substation A stability control device virtual machine action command through a virtual networking, executes a local station load shedding amount 13MW command, and sends an action message to a stability control management and testing master station;
10) and the stability control management and test master station judges the test result according to the virtual machine operation messages of the stability control devices of the transformer substation A, the transformer substation B and the transformer substation C.
Testing of field devices (wave recording data is adopted in test commands):
1) the simulation tool generates recording data containing voltage and current of the transformer substation A, the transformer substation B and the transformer substation C stability control device;
2) the wave recording data are issued to a transformer substation B and a transformer substation C stability control device virtual machine by a stability control management and test master station;
3) the virtual machines of the stable control devices of the transformer substation B and the transformer substation C send the recording data to the stable control devices in the corresponding transformer substations;
4) the substation B stability control device generates a local station load DP1 which is 20MW according to the wave recording data, and the substation C stability control device generates a local station load DP2 which is 13MW according to the wave recording data;
5) the transformer substation B stability control device and the transformer substation C stability control device send the load of the substation to the transformer substation A stability control device through an actual networking channel;
6) the wave recording data are issued to a transformer substation A stability control device virtual machine by a stability control management and test master station, and the stability control device virtual machine issues the wave recording data to a transformer substation A stability control device;
7) according to the wave recording data, the transformer substation A stability control device judges that main transformer current Ig is 400A and main transformer power Pg is 160MW through the device, and the action condition is met. After the transformer substation A stability control device delays for 20s, the main transformer overload strategy acts, the load shedding DP of the action result is 1.1 x (160- & ltSUB & gt and 130) & ltSUB & gt is 33MW, and the action message is sent to a stability control management and test master station through a virtual machine of the stability control device;
8) the transformer substation B stable control device receives an action command of the transformer substation A stable control device through an actual networking channel, executes a load switching 20MW command of the transformer substation B, and sends an action message to a stable control management and test master station through a stable control device virtual machine;
9) the transformer substation C stable control device receives an action command of the transformer substation A stable control device through an actual networking channel, executes a load switching quantity 13MW command of the transformer substation C, and sends an action message to a stable control management and test master station through a stable control device virtual machine;
10) and the stability control management and test master station judges the test result according to the action messages of the stability control devices of the transformer substation A, the transformer substation B and the transformer substation C.
In the embodiment of virtual test and field stable control device test, test commands in the test process can also be directly set in a test area by adopting test data, and the test process and the steps thereof are consistent with the test method adopting wave recording data.
The invention constructs a complete stable control virtual system based on a stable control device virtual machine by means of a cloud computing technology and a special intelligent internet of things platform. And carrying out operation and maintenance management on the stability control system, and simultaneously carrying out virtual test on the test command through a virtual machine of the stability control device or synchronously inputting the test command into different stability control devices to carry out field device test on the stability control system. On the premise of not withdrawing from an actual device, the system management and the test are effectively, reliably, completely and efficiently carried out on a huge and complex stability control system of the power grid. The stability control system has the advantages that the technical level of operation and maintenance management of the stability control system is enhanced, and the functions of full scene display and field device management of the stability control system are realized. Meanwhile, through virtual testing and field device testing, testing and inspection are effectively carried out on the safety and stability control system, and hidden danger brought to safe and stable operation of the power grid is avoided.
Claims (4)
1. A virtual test method for intelligent Internet of things management of a power grid safety and stability control system is characterized by comprising the following steps: the method comprises the following steps of constructing a virtual stability control system, and carrying out virtual test on the power grid stability control system based on a virtual machine of a stability control device, wherein the method comprises the following steps:
(1) networking a stable control device in a transformer substation into a cloud server data platform, wherein an access channel meets the requirements of real-time synchronous transmission of big data and secondary safety protection of a power grid;
(2) a stable control device virtual machine is generated on the basis of a control strategy of the transformer substation stable control device in a mirroring mode on the intelligent Internet of things platform;
(3) building a virtual stability control system, virtually networking the virtual machines of the stability control devices of the transformer substations, building the virtual stability control system on the basis of the virtual machines of the stability control devices, generating the virtual machines of the stability control devices by mirroring the actual stability control devices in the transformer substations, and synchronizing the sampling data and the state of the stability control devices in real time;
(4) establishing an intelligent internet of things platform of a stability control system, networking a debugging network port on a stability control device into a cloud server data platform, and realizing data model reading, strategy calling and issuing, device state parameter uploading and test debugging of the device;
(5) the system comprises a stability control system management and test master station, wherein the stability control system management and test master station is established based on an intelligent internet of things platform, and the stability control device virtual machine is utilized to realize the functions of whole scene display and field stability control device management of the stability control system;
(6) and (3) stable control device testing, namely performing stable control system virtual testing and field device testing through a stable control device virtual machine, wherein the specific flow is as follows:
a) preparing a test command, simulating related faults according to fault simulation software and a stability control system to be tested, and generating a COMTRADE file containing voltage and current magnitude or wave recording data generated by a simulation tool; the test command adopts recording data actually generated by field faults to carry out fault playback test on the faults which occur; according to the characteristics of the stability control device, the test command can also be directly set in the test area by adopting test data;
b) the stability control management and test master station imports a settlement result file, analyzes and reconfigures the settlement result file, issues the settlement result file, and sends the analyzed voltage and current magnitude data and the test data to the corresponding stability control device virtual machine;
c) the stability control management and test master station sets action time by adopting configuration and simulation control software, sends a time instruction to all stability control device virtual machines, and after the time is up, the stability control device virtual machines generate a simulation action result according to voltage and current magnitude data, test data and a device strategy, and forwards the simulation action result to the stability control management and test master station to automatically compare with a preset expected action result to complete virtual test;
d) the stability control device virtual machine sends the time instruction to a corresponding stability control device in the transformer substation, after the time is up, the stability control device virtual machine synchronously plays back according to the voltage and current magnitude data and the test data, the voltage and current magnitude data and the test data are added into the stability control device to be tested at the same time, and field device testing is carried out;
e) and the stability control device virtual machine recovers the stability control device action interface information and forwards the stability control device action interface information to the stability control management and testing main station to automatically compare with a preset expected action result.
2. The virtual test method for intelligent internet of things management of the power grid safety and stability control system according to claim 1, characterized by comprising the following steps: the generation of the virtual machine in the step (2) comprises the following steps:
(21) the virtual machine hierarchical framework comprises the following steps: the stability control device virtual machine comprises a driving layer and an application layer; the driving layer is strategy model software codes of different stability control devices, reads data volume information in real time, calls a stability control device strategy criterion to generate action information, supports single step, breakpoint and condition debugging of the stability control strategy criterion, and outputs the action of the stability control device in a variable mode; the application layer is a virtual driver of a virtual machine and comprises three parts of virtual sampling, virtual action and a virtual communication port;
(22) establishing a stable control device virtual machine: the stability control device virtual machine is built in the intelligent internet of things platform based on a software algorithm, is generated by a field stability control device mirror image and comprises five modules of virtual sampling, virtual action, a strategy model and a virtual communication port;
(23) virtual machine data acquisition: the field stability control device acquires voltage and current through a mutual inductor to obtain virtual sampling data, and the virtual sampling data is processed and stored in the field stability control device, and meanwhile, a data acquisition API is called through a data network to finish data cloud storage of the intelligent Internet of things platform; meanwhile, the virtual action data of the stability control device can be sent by the cloud end through a data acquisition API, and the virtual information comprises the action message, the action information and the device information of the stability control device.
3. The virtual test method for intelligent internet of things management of the power grid safety and stability control system according to claim 1, characterized by comprising the following steps: and (6) testing the stability control device comprises the steps of carrying out virtual testing on the test command through the virtual machine of the stability control device or synchronously inputting the test command into different stability control devices, testing the stability control system, returning action result information through the virtual machine of the stability control device, and comparing and checking the action result information.
4. The virtual test method for intelligent internet of things management of the power grid safety and stability control system according to claim 1, characterized by comprising the following steps: the step (6) comprises the testing of the master station, and the testing steps are as follows:
(61) sending the test command to a stable control device virtual machine, and finishing the stable control system virtual test by the stable control device virtual machine, or sending the test command to each stable control device by the stable control device virtual machine to finish the remote test;
(62) the control function is used for sending the command to the stability control device virtual machine and returning result information through the stability control device virtual machine;
(63) acquiring and comparing action information through a virtual machine of the stability control device, and judging whether an action result is correct or not;
(64) remotely modifying and issuing each stable control device strategy through the stable control device virtual machine;
(65) and monitoring and managing the state information and networking information of each stable control device in the stable control system in real time.
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| CN101944766B (en) * | 2010-06-01 | 2012-09-05 | 中国电力科学研究院 | Operation and safety monitoring simulation system for power system |
| CN102332752B (en) * | 2011-09-19 | 2015-12-02 | 中国电力科学研究院 | Remotely predicting examination and self-evaluating electric substation automation system detection platform and method |
| CN102510131B (en) * | 2011-11-03 | 2013-12-04 | 四川电力科学研究院 | Method and device for testing overall performance of intelligent transformer substation |
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| CN105159273A (en) * | 2015-07-29 | 2015-12-16 | 国家电网公司 | System testing method of power grid distributed stability control devices |
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| JP6987616B2 (en) * | 2017-11-21 | 2022-01-05 | 株式会社キーエンス | Configuration support systems, data servers, control methods and programs |
| CN108375915A (en) * | 2018-04-25 | 2018-08-07 | 中国南方电网有限责任公司电网技术研究中心 | A kind of remote testing data transmission system and method for surely controlling emulation testing |
| CN109713719A (en) * | 2019-01-22 | 2019-05-03 | 国网上海市电力公司 | A kind of flexible distributed power grid emulation platform and its appraisal procedure |
| CN110021995A (en) * | 2019-01-30 | 2019-07-16 | 国网浙江宁波市鄞州区供电有限公司 | A kind of distribution network automated information joint debugging emulation test system |
| CN110262455A (en) * | 2019-06-26 | 2019-09-20 | 南方电网科学研究院有限责任公司 | Test method, device and the equipment of power station automatic electricity generation control system control characteristic |
| CN110765616A (en) * | 2019-10-24 | 2020-02-07 | 南方电网科学研究院有限责任公司 | Simulation closed loop test system and method for power plant computer monitoring system |
| CN111221266A (en) * | 2020-01-20 | 2020-06-02 | 上海电气风电集团股份有限公司 | Simulation test system and test method suitable for microgrid black start |
| CN111414310A (en) * | 2020-04-01 | 2020-07-14 | 国网新疆电力有限公司电力科学研究院 | Method and system for testing safety and stability control device of power grid capable of automatically generating test cases |
| CN111541243B (en) * | 2020-04-27 | 2023-09-19 | 海南电网有限责任公司 | Real-time simulation modeling method for testing regional safety and stability control system |
| CN111552271A (en) * | 2020-04-29 | 2020-08-18 | 国网陕西省电力公司电力科学研究院 | Systematic testing method for regional stability control joint debugging |
| CN111694288B (en) * | 2020-05-20 | 2023-04-18 | 国网河北省电力有限公司电力科学研究院 | On-site feeder automation function closed-loop automatic test platform |
| CN111830929B (en) * | 2020-06-12 | 2023-08-18 | 云南电网有限责任公司 | Closed-loop real-time simulation system based on synchronous parallel test of multiple stable control devices |
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