Simulation method for power primary equipment online monitoring device

Abstract

The application provides an online monitoring device simulation method of power primary equipment, comprising: constructing an online monitoring device model containing an application layer module, the module being composed of a state information acquisition, analysis and transmission submodule, and each submodule realizing data interaction through an event-driven shared memory; during simulation, the state information acquisition submodule analyzes a monitoring data file, stores state data to the shared memory and triggers an event queue 1; the state analysis submodule acquires data according to the event queue 1, generates a state file through an auxiliary diagnosis algorithm and triggers an event queue 2; the state transmission submodule responds to the event queues 1 and 2, converts state data and files into a unified format communication message and transmits the message to a station control layer device model in a server mode. The application adopts a seven-layer network structured simulation model, realizes real-time acquisition, analysis and transmission of device states, solves the response lag problem of a traditional monitoring mode and provides support for performance verification of an online monitoring device.

Description

Technical Field

[0001] This invention relates to the field of online monitoring technology for power systems, and more specifically, to an online monitoring device model for primary power equipment and its application method. This device model enables the acquisition, analysis, and communication of online monitoring data from primary power equipment such as transformers, switches, capacitive devices, and surge arresters. Background Technology

[0002] The new generation of self-reliant and controllable substations has put forward design specifications for online monitoring devices of primary power equipment. According to the technical requirements of the specifications for online monitoring of primary power equipment, the online monitoring device of primary power equipment has the function of collecting the operating data of primary power equipment and uploading it to the intelligent electronic equipment at the station control level.

[0003] In power systems, the stable operation of primary power equipment is crucial for the safety and reliable power supply of the entire power grid. Traditional methods of monitoring primary power equipment often rely on periodic inspections and offline testing, which have problems such as untimely detection and inability to grasp the real-time operating status of equipment. Summary of the Invention

[0004] To address the aforementioned issues, this application provides a simulation method for an online monitoring device for primary power equipment, which enables the collection, analysis, and transmission of operational data from primary power equipment, facilitating the simulation and research of online monitoring devices for primary power equipment by users.

[0005] This application provides a simulation method for an online monitoring device for primary power equipment, including:

[0006] The online monitoring device model for primary power equipment is obtained. The online monitoring device model for primary power equipment includes an application layer module, which includes a status information acquisition submodule, a status information analysis submodule, and a status information transmission submodule.

[0007] The various sub-modules of the application layer interact with each other using an event-driven shared memory approach; the status information sending sub-module converts status data into communication messages of a unified format through a protocol conversion function; and according to the connection method of the project to be tested, the online monitoring device model of the primary power equipment is connected to the intelligent electronic devices of the station control layer and the intelligent electronic devices of the sensing layer to simulate the status data acquisition, information analysis and transmission process of the online monitoring device of the primary power equipment.

[0008] This application provides a simulation method for an online monitoring device for primary power equipment. The method includes: acquiring a model of the online monitoring device for primary power equipment, the model including an application layer module, the application layer module including a status information acquisition submodule, a status information analysis submodule, and a status information transmission submodule; the various submodules of the application layer interact with each other using an event-driven shared memory approach; the status information transmission submodule converts the status data into a unified format communication message through a protocol conversion function; and according to the connection method of the project under test, connects the online monitoring device model for primary power equipment with intelligent electronic devices at the station control layer and intelligent electronic devices at the sensing layer to simulate the status data acquisition, information analysis, and transmission process of the online monitoring device for primary power equipment. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0010] Figure 1 This is a flowchart illustrating the simulation method of the online monitoring device for primary power equipment according to an embodiment of this application.

[0011] Figure 2 This is a schematic diagram showing the connection between the online monitoring device for primary power equipment, the intelligent electronic device at the sensing layer, and the intelligent electronic device at the station control layer in this invention.

[0012] Figure 3 This is a schematic diagram of the structure of the online monitoring device for primary power equipment in this invention;

[0013] Figure 4 This is a schematic diagram of the process domain model of the state information acquisition submodule in this embodiment of the invention;

[0014] Figure 5 This is a schematic diagram of the process domain model of the state information analysis submodule in this embodiment of the invention;

[0015] Figure 6 This is a schematic diagram of the process domain model of the status information sending submodule in this embodiment of the invention;

[0016] Figure 7 This is a schematic diagram of the process domain model of the status information sending submodule in an embodiment of the present invention;

[0017] Figure 8 This is a schematic diagram of the three-ratio method in the auxiliary algorithm of this invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the order described. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.

[0020] See Figure 1 This embodiment proposes a simulation method for an online monitoring device for primary power equipment.

[0021] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0022] In some implementations, the simulation method can be based on OPNET simulation software, but it is not limited to using OPNET simulation software. Other network simulation software, such as NS-2, MATLAB, etc., can also be used to implement the simulation method of the embodiments of this application.

[0023] See Figure 1 The simulation method of the online monitoring device for primary power equipment in this embodiment includes the following steps S110 to S130.

[0024] Step S110: Obtain the online monitoring device model of the primary power equipment. The online monitoring device model of the primary power equipment includes an application layer module, which includes a status information acquisition submodule, a status information analysis submodule, and a status information transmission submodule.

[0025] In some embodiments, the connection diagram between the online monitoring device for primary power equipment and the intelligent electronic devices at the sensing layer and the intelligent electronic devices at the station control layer is shown in the figure below. Figure 2 As shown, the intelligent electronic device in the sensing layer includes transformer-related sensors, switchgear-related sensors, capacitive devices, and surge arrester-related sensors. The online monitoring data of the primary power equipment is sent to the online monitoring device of the primary power equipment through the intelligent electronic device in the sensing layer. After being processed by the online monitoring device of the primary power equipment, it is sent to the intelligent electronic device in the station control layer in the form of a unified communication message.

[0026] In some implementations, the unified communication message may include DL / T 860.

[0027] In step S120, the status information acquisition submodule, status information analysis submodule, and status information sending submodule in the application layer module transmit information through an event-driven shared memory method. The status information sending submodule converts the status data into a unified format communication message through a protocol conversion function.

[0028] In some implementations, see Figure 3 , Figure 3 This is a flowchart illustrating the event-driven shared memory approach in this embodiment of the invention. After acquiring state data, the write process allocates shared memory to store the state data and creates an event queue. The event queue consists of event interrupts ordered by time, and each event interrupt is a process interrupt function that can activate the read process. Once activated, the read process begins acquiring data stored in the shared memory by the write process. It should be noted that the write and read processes are not mutually exclusive; an application layer submodule can act as both a write and a read process.

[0029] In some implementations, see Figure 4 , Figure 4 This is a simulation block diagram of an online monitoring device for primary power equipment. The online monitoring device for primary power equipment adopts an OSI seven-layer network structure, including an application layer, an interface layer module, an ARP layer module, a network layer module, a transport layer module, several data link layer sub-modules, and corresponding physical layer sub-modules. The application layer module includes a status information acquisition sub-module, a status information analysis sub-module, and a status information transmission sub-module. The data link layer sub-modules and their corresponding physical layer sub-modules connect to the intelligent electronic devices in the sensing layer / station control layer to realize the transmission of online monitoring data.

[0030] In some implementations, see Figure 5 , Figure 5 This is a schematic diagram of the process domain model of the state information acquisition submodule in an embodiment of the present invention. The process domain of the state information acquisition submodule includes "init", "idle" and "receive" states. Each state is activated after the transition condition is met. The state information acquisition submodule can acquire the state data of analog and digital quantities of primary power equipment as well as online monitoring data files.

[0031] In some implementations, see Figure 6 , Figure 6This is a schematic diagram of the process domain model of the state information analysis submodule in an embodiment of the present invention. The process domain of the state information acquisition submodule includes "init", "idle" and "recieve" states. Each state is activated after the transition condition is met. The state information analysis submodule analyzes the online monitoring information and generates alarm information and spectrum files through the auxiliary diagnostic algorithm.

[0032] In some implementations, see Figure 7 , Figure 7 This is a schematic diagram of the process domain model of the status information sending submodule in an embodiment of the present invention. The status information sending submodule sends the status data of the analog and switching quantities of the primary power equipment acquired by the status information acquisition submodule, the alarm information and spectrum file generated by the status information analysis submodule, and the status information covering the status data and status file to the intelligent electronic equipment at the station control layer in the format of the DL / T 860 protocol.

[0033] In some implementations, see Figure 8 , Figure 8 The diagram illustrates the three-ratio method in the auxiliary algorithm of this invention. The code first calculates three ratios: ratio1 (the ratio of acetylene C2H2 to ethylene C2H4), ratio2 (the ratio of methane CH4 to ethylene C2H4), and ratio3 (the ratio of acetylene C2H2 to methane CH4). Based on different ratio ranges, different fault types of the transformer are determined.

[0034] The following section uses OPNET simulation software as a platform to describe in detail the design method of each application layer submodule of the online monitoring device for primary power equipment of the present invention through specific embodiments.

[0035] 1) Construct a status information acquisition submodule, specifically:

[0036] Set the status information to obtain the status of the submodule and its transition conditions;

[0037] ① Set the "init" state, with the transition condition being "simulation start". The function is to initialize the relevant functions of the sub-module for information acquisition and obtain the relevant information required for the process model to run, in order to prepare for the start of the simulation.

[0038] ② Set to "idle" state, with the transition condition being the end of the "initialization" state and "data reception".

[0039] The state begins, and the function is to wait for data to arrive.

[0040] ③ Set the “receive” state. The transition condition is the end of the “idle” state and the arrival of data. The function is to receive the status data sent up layer by layer from the physical layer module, allocate shared memory to store the status data in the shared memory, and create event queue 1.

[0041] 2) Construct a status information analysis submodule, specifically:

[0042] Set the state and transition conditions of the state information analysis submodule;

[0043] ① Set the "init" state, with the transition condition being the interrupt trigger in event queue 1. Its function is to initialize the relevant functions of the information analysis submodule and obtain the relevant information required for the process model to run, in preparation for the start of the simulation.

[0044] ② Set to "idle" state, with the transition condition being the end of the "initialization" state and the start of the "auxiliary algorithm".

[0045] The state begins, and the function is to wait for data to arrive.

[0046] ③ Set the “Auxiliary Algorithm” (suanfa_process), with the transfer condition being the end of the “idle” state and the arrival of data. Its function is to analyze the received primary equipment information through the auxiliary diagnostic algorithm, generate alarm information and spectrum files, store the alarm information and spectrum files in shared memory, and create event queue 2; for example, if the information analysis submodule receives monitoring data of dissolved gas in transformer oil, it analyzes the data using the three ratio method and the David triangle method to generate alarm information for data exceeding the standard and gas production rate exceeding the standard.

[0047] 3) Construct a status information sending submodule, specifically:

[0048] Set the status of the status information sending submodule and its transition conditions;

[0049] ① Set the "start" (open) state. The transition condition is the interruption of an event in event queue 1 or event queue 2. The function is to initialize the relevant functions of the information sending submodule, obtain the relevant information required for the process model to run, and open the transport layer link.

[0050] ② Set to "idle" state, with the transition condition being the end of the "start" state, and the function being to send a connection establishment message.

[0051] ③ Set the "send" state, with the transition condition being the end of the "idle" state and the arrival of data. The function is to convert the status data of the analog and digital quantities of the primary power equipment acquired by the status information acquisition submodule, the alarm information and spectrum file generated by the status information analysis submodule, and the status information covering the status data and status file into the format of DL / T 860 protocol communication messages and send them down layer by layer along the seven-layer network structure to the physical layer submodule and then to other devices.

[0052] ④ Set the "close" state, with the transition condition being the end of the "message sending" state. The function is to close the connection with the server and destroy the process.

[0053] Step S130: Connect the online monitoring device model of primary power equipment to the intelligent electronic equipment at the station control layer and the intelligent electronic equipment at the sensing layer to simulate the process of acquiring, analyzing and transmitting status data of the online monitoring device for primary power equipment.

[0054] In some embodiments, the intelligent electronic device at the station control layer includes a one-way production data acquisition device, an intelligent gateway, and a production analysis and processing host.

[0055] For example, the online monitoring device for primary power equipment determines the client and / or server working modes based on the working status settings of receiving and sending data. When the online monitoring device for primary power equipment receives status data of primary power equipment from the intelligent electronic device at the sensing layer, its application layer module is in client working mode, and the status information acquisition submodule is running. When the online monitoring device for primary power equipment sends data to the intelligent electronic device at the station control layer, its application layer module is in server working mode, and the status information sending submodule is running.

[0056] It should be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of the application.

[0057] It should also be understood that the term “and / or” as used in this application and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0058] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A simulation method for an online monitoring device of primary power equipment, characterized in that, include: An online monitoring device model of the primary power equipment is obtained. The online monitoring device model includes an application layer module, which includes a status information acquisition submodule, a status information analysis submodule, and a status information transmission submodule. The submodules of the application layer module of the online monitoring device model interact with each other using an event-driven shared memory approach. The online monitoring device model is simulated. During the simulation process: The status information acquisition submodule parses the online monitoring data file, acquires the status data of the analog quantity and the status data of the switch quantity of the primary power equipment, allocates shared memory to store the status data, and creates event queue 1; the shared memory and the event queue 1 are allocated and created by the status information acquisition submodule as a write process after acquiring the status data, and the event queue 1 is an event interrupt sorted by time; The event interruption in the event queue 1 activates the status information analysis submodule as a read process to obtain the status data in the shared memory. The status information analysis submodule generates a status file containing alarm information and a spectrum file through an auxiliary diagnostic algorithm. The status file is then stored in the shared memory, and event queue 2 is created. Event queue 1 triggers the status information sending submodule to obtain the status data stored in the shared memory, and event queue 2 triggers the status information sending submodule to obtain the status file stored in the shared memory. The status information sending submodule maps the status data and the status file into a unified format communication message through the protocol conversion function. The online monitoring device receives online monitoring data files of primary power equipment from the intelligent electronic device in the sensing layer in client mode, and sends the communication messages to the intelligent electronic device model in the station control layer in server mode. The online monitoring data files include status data and spectral files of primary power equipment.

2. The simulation method according to claim 1, characterized in that, The status information analysis submodule acts as a write process to store the status file in the shared memory area and create event queue 2. The status information sending submodule acts as a reading process to obtain the status data and the status file in the shared memory; Specifically, the event queue 2 is an event interrupt queue arranged in chronological order, and the read process is activated by the event interrupt to realize the orderly simulation of the read process; and after the write process updates the shared memory, the read process reads the data in the shared memory area according to the event interrupt order of the event queue.

3. The simulation method according to claim 1, characterized in that, The online monitoring device model also includes an interface layer module, an ARP layer module, a network layer module, a transport layer module, several data link layer sub-modules, and corresponding physical layer sub-modules. The online monitoring device model is connected to the station control layer intelligent electronic device model and the sensor layer intelligent electronic device model through the data link layer sub-modules and the corresponding physical layer sub-modules.

4. The simulation method according to claim 1, characterized in that, The primary power equipment includes at least transformers, switchgear, capacitive equipment, and surge arresters; The condition data of the transformer includes at least dissolved gases in the oil.

5. The simulation method according to claim 4, characterized in that, The auxiliary diagnostic algorithm includes at least an auxiliary diagnostic algorithm for dissolved gases in transformer oil; The status information analysis submodule generates a status file containing alarm information and a spectrogram file through an auxiliary diagnostic algorithm, including: The status information analysis submodule uses an auxiliary diagnostic algorithm for dissolved gases in the transformer oil to generate alarm information for excessive data and excessive gas production rate based on the monitoring data of dissolved gases in the transformer oil, using the three ratio method and the David's triangle method.

6. The simulation method according to claim 1, characterized in that, The status information analysis submodule generates a status file containing alarm information and a spectrogram file through an auxiliary diagnostic algorithm, including: The status information analysis submodule analyzes the status data using an auxiliary diagnostic algorithm to generate alarm information and spectrum files.

Images