A method and device for intelligent control of power grid based on automatic control flow

Abstract

The present invention discloses a method and device for intelligent control processing of power grid based on automatic control flow, establishes an experience control processing scenario according to the historical power grid operation alarm processing process, designs relevant plug-in configuration according to the experience steps of the experience control processing scenario to form an experience processing control flow; matches the current power grid operation status data with the pre-built experience control processing scenario; and uses the experience processing control flow corresponding to the matched experience control processing scenario to drive the business to perform automatic control processing. The present invention realizes automatic analysis and processing of specific scenarios of power grid operation, provides operation guidance for control personnel, thereby improving the efficiency of power grid control operation and improving the reliability of power grid operation.

Description

Technical Field

[0001] The invention relates to a method and a device for intelligent control processing of a power grid based on automatic control flow, belonging to the technical field of electric power automation control. Background Art

[0002] In the current information age, the power system is gradually moving towards automation, and power control automation is a prominent feature. With the development of science and technology, the development of power control automation in most parts of my country has achieved certain results. However, overall, due to the lack of professional talents in this field, the overall power control operation and management level is still progressing slowly. The complex power grid operation scenarios have brought a large workload to the control and operation personnel, and also posed great challenges to the intelligent control of the power grid. For the existing implementation plan, please refer to the process. Figure 1 , mainly as follows: the front-end acquisition system receives telemetry and telesignaling data, and sends the data to the SCADA system after processing; the alarm processing system merges the existing equipment status information into the database and submits the alarm information; the control personnel interact with the control system through the GUI interface to analyze the current power grid operation status and make relevant decisions. The existing processing scheme has the following defects: (1) The current power grid operation status can only be judged by the control personnel or operation and maintenance personnel through the analysis of real-time alarms and equipment status information, and corresponding decisions can be made. The control personnel have high requirements and the degree of intelligence is not high. (2) There are repetitive scenarios in the power grid operation scenario. The previous control system cannot automatically capture similar scenarios, which brings tedious and repetitive work to the control operators, and the degree of control automation is not high. Summary of the invention

[0003] The purpose of the present invention is to provide a method and device for intelligent power grid control and processing based on automatic control flow. By establishing a scenario control flow, automatic analysis and processing of specific power grid operation scenarios can be achieved, and operational guidance can be provided to control personnel, thereby improving the efficiency of power grid control and operation and improving the reliability of power grid operation.

[0004] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0005] The present invention provides a method for intelligent control of a power grid based on automatic control flow, comprising:

[0006] Obtain current power grid operation status data;

[0007] Matching the current grid operation status data with pre-built experience control processing scenarios;

[0008] The experience control flow corresponding to the matching experience control processing scenario is used to drive the business to perform automatic control processing.

[0009] Furthermore, it also includes:

[0010] Establish an empirical control and processing scenario based on the historical power grid operation alarm processing process.

[0011] Furthermore, it also includes:

[0012] Design relevant plug-ins based on the empirical steps of the experience-based control processing scenario to form an experience plug-in library.

[0013] Furthermore, it also includes configuring the experience processing control flow:

[0014] The experience processing control flow configuration includes: entry conditions, execution process and execution results;

[0015] Set the entry conditions of the experience processing control flow corresponding to the control processing scenario, determine all the disposal operations under the condition according to the entry conditions, call the experience plug-in library, and form a control branch for each disposal operation;

[0016] For each control branch, different disposal operations are generated according to different execution results. For each disposal operation, the experience plug-in library is called to form the next level of control branch;

[0017] Control branch operations are performed one by one until the final execution result is reached, completing the configuration of the experience processing control flow.

[0018] Furthermore, it also includes:

[0019] Set the control and processing scenario matching rules according to the equipment status, alarm type and early warning measurement point data.

[0020] Furthermore, an experience-regulated processing scenario sets at least one matching rule.

[0021] Furthermore, when the grid operation status data meets all matching rules in a certain experience control processing scenario, the experience control processing scenario is entered.

[0022] Furthermore, the experience control flow corresponding to the matching experience control processing scenario is used to drive the business to perform automatic control processing, including:

[0023] When the entry conditions of the current experience processing control flow are met, the experience processing control flow is entered, and the corresponding control branch is entered according to the current actual regulation and processing scenario. After the execution is completed, there will be an execution result. According to the execution result, the next control branch is entered until the entire control flow is executed and the final execution result is obtained.

[0024] Furthermore, it also includes:

[0025] During the automatic control process, the control operator conducts a second confirmation of the control branch through human-computer interaction.

[0026] The present invention also provides a power grid intelligent control processing device based on automatic control flow, comprising:

[0027] Acquisition module, used to obtain current power grid operation status data;

[0028] A matching module is used to match the current grid operation status data with the pre-built experience control processing scenario;

[0029] as well as,

[0030] The control module is used to drive the business to perform automatic control processing using the experience processing control flow corresponding to the matching experience control processing scenario.

[0031] The beneficial effects achieved by the present invention are:

[0032] (1) The present invention constructs commonly used control and analysis scenarios for power grid operation and establishes relevant rules to automatically match corresponding scenarios, thereby achieving effective simulation of human experience and building a power grid control expert system platform.

[0033] (2) The present invention improves the scene automatic control flow through the experience plug-in library, which can realize the control automation to a greater extent.

[0034] (3) The present invention can realize an interactive control flow processing mechanism, which can maximize the reliability of regulation and control while reducing the workload of regulation operators. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 Provide intelligent control process for existing power grids;

[0036] Figure 2 The present invention is a process flow of a power grid intelligent control processing method based on automatic control flow;

[0037] Figure 3 This is an example of configuring the control flow of the control processing scenario in an embodiment of the present invention;

[0038] Figure 4 This is an example of scene matching in an embodiment of the present invention;

[0039] Figure 5 This is an example of automatic driving of the scene control flow in an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The present invention is further described below. The following examples are only used to more clearly illustrate the technical solution of the present invention, and are not intended to limit the protection scope of the present invention.

[0041] The embodiment of the present invention provides a method for intelligent control of power grid based on automatic control flow, see Figure 2 ,include:

[0042] Obtain power grid operation status data;

[0043] Matching the grid operation status data with the pre-built control and processing scenarios;

[0044] Use the experience processing control flow corresponding to the matching control processing scenario to drive the business to perform automatic control processing.

[0045] In the embodiment of the present invention, it also includes constructing a control processing scenario according to the power grid operation alarm state, specifically:

[0046] According to the conventional alarm processing process, the corresponding automatic control processing scenario is established, and effective fault identification is achieved based on effective simulation of human experience.

[0047] In the embodiment of the present invention, it also includes building an experience plug-in library according to the control processing scenario, which is as follows:

[0048] A plug-in refers to the smallest processing unit in the power grid regulation process. Relevant plug-ins are designed based on the empirical steps of actual regulation processing to form an empirical plug-in library.

[0049] In the embodiment of the present invention, it also includes building experience processing control flows for different control processing scenarios based on the experience plug-in library, which are specifically as follows:

[0050] A complete control flow mainly includes three aspects: entry conditions, execution process and execution results. When the entry conditions of the current control flow are met, the control flow will be entered. After the execution is completed, there will be an execution result. Depending on the execution result, it will enter the next different control branch. Through the rich experience plug-in library, you can freely build the corresponding control flow, equipped with all the disposal processes included in the scenario, and enter different control branches according to the processing results of different processes.

[0051] First, set the scene control flow entry conditions, determine all possible disposal operations based on the entry conditions, call the experience plug-in library, and form a control branch; then for each control branch, generate different disposal operations according to their execution results, call the experience plug-in library for each disposal operation, form the next level branch, and perform control branch operations one by one until the final execution result is reached and the control flow configuration is completed.

[0052] Figure 3This is a case of XXX tripping processing scenario. In this scenario, according to the experience steps of control processing, 7 related plug-ins as shown in the figure need to be used. The relevant control flow can be constructed according to the execution results and entry rules of different plug-ins. The solid arrow in the figure shows the actual control process. First, the processing scenario is entered by judging the signal of accident tripping. The execution result is judged to be A plant station, then the voice broadcast operation option branch is entered. According to the execution result of the control flow, the execution option B is executed, then the closing control branch is entered, and then according to whether the closing execution fails or not, the next control flow is entered to decide whether to record the scene or send SMS notification. At this point, a scene processing process ends. The solid arrow shows the actual execution path, and the dotted arrow represents all possible execution paths.

[0053] In the embodiment of the present invention, the control processing scenario is matched according to the power grid operation status data, and the corresponding control processing scenario is entered, which is specifically as follows:

[0054] Configure the matching rules for the control and processing scenarios. You can complete the matching rules based on data such as equipment status, alarm type, warning measurement points, etc. When the power grid operation meets all the matching rules in the scenario, it enters the corresponding control and processing scenario.

[0055] The matching of the scene is based on the scene entry rules in the scene configuration. By constructing different scene matching rules, the grid operation status is monitored to detect whether it meets the matching rules. When all the matching rules are met, the corresponding regulation and processing scene can be entered, and then the scene control flow processing process can be entered.

[0056] Figure 4 It is the matching judgment process after a scene matches multiple rules. If multiple matching rules are set for a scene, the system needs to determine whether all the rules are met when matching the scene. Only when all the matching rules meet the set requirements can the processing flow of the scene be entered.

[0057] In the embodiment of the present invention, the experience processing control flow driving service corresponding to the control processing scenario is used to realize automatic control processing, which is specifically as follows:

[0058] After entering the matching control processing scene, you can enter the automatic control flow processing process. According to the plug-in control flow established based on experience in the scene, automatically implement business development, drive control flow advancement, and realize interactive confirmation with the control personnel, thereby improving the accuracy and reliability of control. Figure 5 As shown, after entering the analysis scenario, the control flow events can be automatically driven according to the preset control flow. At the same time, human-computer interaction with the control operator can be realized in the branch to achieve secondary confirmation and ensure the reliability of the automatic control process.

[0059] The present invention establishes relevant power grid operation scenarios and matching rules to achieve automatic entry into conversation scenarios, and configures scenario control flows, which can automatically drive control flows after entering corresponding scenarios. It also has human-computer interaction functions to guide users into the correct control flows. The present invention has been verified in the laboratory, and the results show that the system has achieved the above functions.

[0060] Another embodiment of the present invention provides a power grid intelligent control processing device based on automatic control flow, comprising:

[0061] Acquisition module, used to obtain current power grid operation status data;

[0062] A matching module is used to match the current grid operation status data with the pre-built experience control processing scenario;

[0063] as well as,

[0064] The control module is used to drive the business to perform automatic control processing using the experience processing control flow corresponding to the matching experience control processing scenario.

[0065] It is worth pointing out that the device embodiment corresponds to the above-mentioned method embodiment, and the implementation methods of the above-mentioned method embodiments are all applicable to the device embodiment and can achieve the same or similar technical effects, so they will not be repeated here.

[0066] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0067] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0068] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0069] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0070] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for intelligent control of power grid based on automatic control flow, characterized in that: include: Obtain current power grid operation status data; Matching the current grid operation status data with pre-built experience control processing scenarios; Use the experience control flow corresponding to the matching experience control processing scenario to drive the business to perform automatic control processing, including: Design relevant plug-ins based on the experience steps of the experience control processing scenario to form an experience plug-in library; Configure the experience processing control flow, the experience processing control flow configuration includes: entry conditions, execution process and execution results; set the entry conditions of the experience processing control flow corresponding to the control processing scenario, judge all the disposal operations under the conditions according to the entry conditions, call the experience plug-in library, and form a control branch for each disposal operation; for each control branch, generate different disposal operations according to different execution results, call the experience plug-in library for each disposal operation, and form the next level of control branch; perform control branch operations one by one until the final execution result is reached, and complete the configuration of the experience processing control flow; When the entry conditions of the current experience processing control flow are met, the experience processing control flow is entered, and the corresponding control branch is entered according to the current actual regulation and processing scenario. After the execution is completed, there will be an execution result. According to the execution result, the next control branch is entered until the entire control flow is executed and the final execution result is obtained.

2. A method for intelligent control of power grid based on automatic control flow according to claim 1, characterized in that: Also includes, Establish an empirical control and processing scenario based on the historical power grid operation alarm processing process.

3. The method for intelligent control of power grid based on automatic control flow according to claim 1, characterized in that: Also includes: Set the control and processing scenario matching rules according to the equipment status, alarm type and early warning measurement point data.

4. The method for intelligent control of power grid based on automatic control flow according to claim 1, characterized in that: An experience control processing scenario sets at least one matching rule.

5. The method for intelligent control of power grid based on automatic control flow according to claim 1, characterized in that: When the grid operation status data meets all the matching rules in a certain experience control processing scenario, the experience control processing scenario is entered.

6. A method for intelligent control of power grid based on automatic control flow according to claim 2, characterized in that: Also includes: During the automatic control process, the control operator conducts a second confirmation of the control branch through human-computer interaction.

7. A power grid intelligent control processing device based on automatic control flow, characterized in that: include: Acquisition module, used to obtain current power grid operation status data; A matching module is used to match the current grid operation status data with the pre-built experience control processing scenario; as well as, The control module is used to drive the business to automatically control the process by using the experience processing control flow corresponding to the matching experience control processing scenario. The specific implementation process is as follows: Design relevant plug-ins based on the experience steps of the experience control processing scenario to form an experience plug-in library; Configure the experience processing control flow, the experience processing control flow configuration includes: entry conditions, execution process and execution results; set the entry conditions of the experience processing control flow corresponding to the control processing scenario, judge all the disposal operations under the conditions according to the entry conditions, call the experience plug-in library, and form a control branch for each disposal operation; for each control branch, generate different disposal operations according to different execution results, call the experience plug-in library for each disposal operation, and form the next level of control branch; perform control branch operations one by one until the final execution result is reached, and complete the configuration of the experience processing control flow; When the entry conditions of the current experience processing control flow are met, the experience processing control flow is entered, and the corresponding control branch is entered according to the current actual regulation and processing scenario. After the execution is completed, there will be an execution result. According to the execution result, the next control branch is entered until the entire control flow is executed and the final execution result is obtained.

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