Dynamic scene action decision-making method and system for power transformation intelligent terminal

Abstract

The invention discloses a dynamic scene action decision-making method and system for a power transformation intelligent terminal, belongs to the technical field of power transformation intelligent terminals, aims at solving the problems of decision-making lag and insufficient accuracy when a complex and changeable operation scene is dealt with, and comprises the following steps: carrying out real-time acquisition and preprocessing on operation data of the power transformation intelligent terminal; performing data analysis based on the operation data to obtain a state analysis result; based on the state analysis result, dynamically analyzing the operation scene of the intelligent substation terminal which is in the abnormal state at present; based on the results of the state analysis and the dynamic analysis, a decision instruction is sent to the power transformation equipment terminal; the power transformation equipment terminal receives the decision instruction and executes a corresponding action; according to the invention, through real-time monitoring, dynamic analysis and rapid decision making, intelligent control of the power transformation intelligent terminal in different operation scenes is realized; according to the method and the system, the automation level and the operation efficiency of the power transformation intelligent terminal can be remarkably improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of power transformation intelligent terminals, and in particular relates to a dynamic scene action decision method and system for power transformation intelligent terminals. Background Art

[0002] With the continuous development of the power grid, my country's power grid has entered a new era of large power plants, large units, cross-regional, long-distance power transmission, wide access to various new energy sources, and highly automatic control. At present, the whole society has entered a fully informationized society. With the advancement of my country's new energy strategy and the deepening of smart grid construction, the smart substation technology based on IEC61850 has also achieved unprecedented development in my country. In response to the complex situation, the State Grid has put forward new substation operation and maintenance management requirements, and paid real attention to the intelligent implementation of the entire substation. During the operation of the intelligent substation, the relevant power department staff should comprehensively and carefully analyze and deal with various maintenance issues, and effectively maintain the operation of the smart substation in a relatively stable state. As an important part of the smart substation, the smart terminal has been widely used in the substation system. The smart terminal is responsible for controlling and monitoring various smart devices, such as digital protection, automation devices, communication gateways, etc., and realizes the interconnection between devices through various communication methods (such as GPS, GPRS, Ethernet, etc.).

[0003] With the rapid development of smart grids, substation smart terminals, as an important part of the power system, have a significant impact on the overall performance of the power system due to their operational stability and reliability. However, existing substation smart terminals often have problems such as delayed decision-making and insufficient accuracy when dealing with complex and changing operating scenarios, making it difficult to meet the development needs of smart grids.

[0004] Therefore, a dynamic scenario action decision method and system for substation intelligent terminals are needed to solve the problems of delayed decision-making and insufficient accuracy in the prior art when substation intelligent terminals cope with complex and changeable operating scenarios. Summary of the invention

[0005] The purpose of the present invention is to provide a dynamic scene action decision method and system for a power transformation intelligent terminal to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a dynamic scene action decision method for a substation intelligent terminal, comprising:

[0007] S1. Real-time collection and preprocessing of operating parameters of the substation intelligent terminal to obtain operating data;

[0008] S2. Perform data analysis based on the operating data to obtain status analysis results;

[0009] S3. Based on the status analysis results, dynamically analyze the operation scenario of the substation intelligent terminal that is currently in an abnormal state;

[0010] S4. Based on the results of state analysis and dynamic analysis, issue decision instructions to the substation equipment terminal;

[0011] S5. The substation terminal receives the decision instruction and executes corresponding actions.

[0012] It should be noted that the real-time collection and preprocessing of the operating parameters of the substation intelligent terminal to obtain the operating data includes:

[0013] Through the integrated sensor network, the operating parameters of the substation intelligent terminal are collected in real time, including current, voltage, temperature, humidity, vibration frequency and sound;

[0014] The operating parameters are cleaned and the data is preprocessed to obtain the operating data.

[0015] It is further worth noting that the data analysis based on the operation data to obtain the status analysis results includes:

[0016] Based on the operation data, extracting historical operation data within the same preset time period as the operation data;

[0017] The status analysis result is determined based on the operating data and the historical operating data.

[0018] The following steps are performed for any of the operating data: extracting historical operating data within the same preset time period as the above from a preset database. It should be noted that the preset time period can be set according to actual conditions and is not specifically limited here. Further, calculating the average value between each of the historical operating data, and then calculating the difference between the operating data and the average value. Further, comparing the difference with a preset monitoring value, thereby determining the status analysis result based on the comparison result.

[0019] It should be further explained that the determining of the status analysis result based on the operation data and the historical operation data includes:

[0020] Based on the historical operation data, calculate the average value of the historical operation data in the same period;

[0021] Calculate the average value of the operating data and the historical operating data, and calculate the difference between them;

[0022] Combined with the preset threshold, determine whether the difference is within the normal range;

[0023] If it is within the normal range, it is identified as a normal state; if it exceeds or is lower than the normal range, it is identified as an abnormal state; if the difference exceeding the threshold is greater than a certain set value, it is identified as a fault state.

[0024] As a preferred implementation, the dynamically analyzing the operation scenario of the substation intelligent terminal currently in an abnormal state based on the state analysis result includes:

[0025] Based on the average value of the operation data in abnormal state and the historical operation data, the difference of each group of parameters (including current instability parameters, voltage instability parameters, temperature instability parameters, humidity instability parameters, noise instability parameters and vibration frequency instability parameters) is calculated:

[0026] Δi=x i -x ref

[0027] where x i represents the value of the data point of the ith running data, x ref The value representing the reference point of historical operating data;

[0028] Set a weight w for each group of parameters based on historical data, industry standards and expert experience i ;

[0029] Compute the weighted value for each set of differences:

[0030] d i =Δi×w i

[0031] Based on each group of weighted values, the weighted values ​​of each group of parameters can be sorted from large to small, and the largest group of parameters has the most significant change, which means it has the greatest impact in the abnormal state.

[0032] As a preferred implementation, the issuing of decision instructions to the substation equipment terminal based on the results of the state analysis and the dynamic analysis includes:

[0033] Judge the results of state analysis and dynamic analysis and issue decision instructions;

[0034] For substation terminal equipment in normal status, continue normal operation and monitoring without issuing any instructions;

[0035] For substation terminal equipment in a faulty state, directly issue an alarm and shut down the substation equipment terminal, and notify the staff to carry out repairs in a timely manner;

[0036] Issue instructions to adjust parameters to substation terminal equipment that is in abnormal status.

[0037] As a preferred implementation, the instruction for adjusting the parameters includes:

[0038] Based on the weighted value ranking of each group of parameters, the adjustment priority of each group of parameters is ranked, and the parameters that have the greatest impact on the abnormal operating status are adjusted first.

[0039] A dynamic scene action decision system for a power transformation intelligent terminal is further proposed, which is used to implement the dynamic scene action decision method for a power transformation intelligent terminal as described above, including:

[0040] A data acquisition module, which is used to obtain the operating parameters of each substation terminal, and perform data cleaning and preprocessing to obtain operating data;

[0041] A data analysis module, the data analysis module is used to perform data calculation on each of the operating data and the historical operating data to obtain a difference, make a judgment based on the difference, and obtain a status analysis result;

[0042] A dynamic analysis module, which calculates the operation data and historical operation data of the substation intelligent terminal that is currently in an abnormal state to obtain a weighted value of each group of parameters, and then dynamically analyzes the operation parameters of the substation intelligent terminal;

[0043] A decision processing module, which judges the results based on the status analysis and dynamic analysis, and then issues decision instructions to the substation equipment terminal, including alarming, shutting down the substation equipment terminal and adjusting parameters.

[0044] The execution control module is used to control the substation equipment terminal to execute corresponding actions through the control interface after receiving the decision-making instructions; at the same time, the execution control module is also responsible for monitoring the execution process to ensure the accurate execution of the decision-making instructions.

[0045] Compared with the prior art, the dynamic scene action decision method and system for a power transformation intelligent terminal provided by the present invention have at least the following beneficial effects:

[0046] Through real-time monitoring, dynamic analysis and rapid decision-making, intelligent control of substation intelligent terminals in different operating scenarios is realized; this method and system can significantly improve the automation level and operating efficiency of substation intelligent terminals, reduce the risks of human intervention and misoperation, and provide strong guarantees for the safe and stable operation of smart grids. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 The figure is a flow chart of a dynamic scene action decision method for a power transformation intelligent terminal according to the present invention. DETAILED DESCRIPTION

[0048] The present invention will be further described below in conjunction with the embodiments.

[0049] Reference Figure 1 As shown, the present invention provides a dynamic scene action decision method for a power transformation intelligent terminal, comprising:

[0050] S1. Real-time collection and preprocessing of operating parameters of the substation intelligent terminal to obtain operating data;

[0051] S2. Perform data analysis based on the operating data to obtain status analysis results;

[0052] S3. Based on the status analysis results, dynamically analyze the operation scenario of the substation intelligent terminal that is currently in an abnormal state;

[0053] S4. Based on the results of state analysis and dynamic analysis, issue decision instructions to the substation equipment terminal;

[0054] S5. The substation terminal receives the decision instruction and executes corresponding actions.

[0055] The real-time collection and preprocessing of the operating parameters of the substation intelligent terminal to obtain the operating data includes:

[0056] Through the integrated sensor network, the operating parameters of the substation intelligent terminal are collected in real time, including current, voltage, temperature, humidity, vibration frequency and sound;

[0057] The operating parameters are cleaned and the data is preprocessed to obtain the operating data.

[0058] The data analysis based on the operation data to obtain the status analysis result includes:

[0059] Based on the operation data, extracting historical operation data within the same preset time period as the operation data;

[0060] The status analysis result is determined based on the operating data and the historical operating data.

[0061] The determining the status analysis result based on the operation data and the historical operation data comprises:

[0062] Based on the historical operation data, calculate the average value of the historical operation data in the same period;

[0063] Calculate the average value of the operating data and the historical operating data, and calculate the difference between them;

[0064] Combined with the preset threshold, determine whether the difference is within the normal range;

[0065] If it is within the normal range, it is identified as a normal state; if it exceeds or is lower than the normal range, it is identified as an abnormal state; if the difference exceeding the threshold is greater than a certain set value, it is identified as a fault state.

[0066] It can be understood that the following steps are performed for any of the operating data: extracting historical operating data within the same preset time period as the above in a preset database. It should be noted that the preset time period can be set according to actual conditions and is not specifically limited here. Further, calculating the average value between each of the historical operating data, and then calculating the difference between the operating data and the average value. Further, comparing the difference with the preset monitoring value, so as to determine the status analysis result based on the comparison result.

[0067] For example, the acquired operation data contains voltage data, and then the data stored in the preset historical detection period (i.e., the above-mentioned historical operation data) is extracted from the preset database, for example, the voltage value in the past 3 months is set. Then the average value corresponding to all the data in the historical operation data is calculated, and then after the average value is calculated, the currently monitored operation data is subtracted from the average value to obtain a difference value A, assuming that the preset monitoring threshold is BC, and the preset value is D; if A is between BC, then it is determined that the substation intelligent terminal is in a normal fluctuation state at this time, that is, it is in a normal state within the normal working range. If A is not between BC, then it means that the data value of the currently detected operation data is a bit abnormal, and it is determined that the substation intelligent terminal is in an abnormal working range at this time and is in an abnormal state, and when A is not in the range of B+D--C+D, it means that the currently detected substation intelligent terminal is in a fault state, and an alarm should be issued in time to notify the staff to perform maintenance in time.

[0068] It can be understood that the dynamic analysis of the operation scenario of the substation intelligent terminal currently in an abnormal state based on the state analysis result includes:

[0069] Based on the average value of the operation data in abnormal state and the historical operation data, the difference of each group of parameters (including current instability parameters, voltage instability parameters, temperature instability parameters, humidity instability parameters, noise instability parameters and vibration frequency instability parameters) is calculated:

[0070] Δi=x i -x ref

[0071] where x i represents the value of the data point of the ith running data, x ref The value representing the reference point of historical operating data;

[0072] Set a weight w for each group of parameters based on historical data, industry standards and expert experiencei ;

[0073] Compute the weighted value for each set of differences:

[0074] d i =Δi×w i

[0075] Based on each group of weighted values, the weighted values ​​of each group of parameters can be sorted from large to small, and the largest group of parameters has the most significant change, which means it has the greatest impact in the abnormal state.

[0076] The issuing of decision instructions to the substation equipment terminal based on the results of the state analysis and the dynamic analysis includes:

[0077] Judge the results of state analysis and dynamic analysis and issue decision instructions;

[0078] For substation terminal equipment in normal status, continue normal operation and monitoring without issuing any instructions;

[0079] For substation terminal equipment in a faulty state, directly issue an alarm and shut down the substation equipment terminal, and notify the staff to carry out repairs in a timely manner;

[0080] Issue instructions to adjust parameters to substation terminal equipment that is in abnormal status.

[0081] The instruction for adjusting the parameters includes:

[0082] Based on the weighted value ranking of each group of parameters, the adjustment priority of each group of parameters is ranked, and the parameters that have the greatest impact on the abnormal operating status are adjusted first.

[0083] According to the above working process, it can be seen that: through real-time monitoring, dynamic analysis and rapid decision-making, intelligent control of substation intelligent terminals in different operating scenarios is realized; this method and system can significantly improve the automation level and operating efficiency of substation intelligent terminals, reduce the risks of human intervention and misoperation, and provide strong guarantees for the safe and stable operation of smart grids.

[0084] Further, the same inventive concept as the dynamic scene action decision method for a substation intelligent terminal is proposed. This solution proposes a dynamic scene action decision system for a substation intelligent terminal, including:

[0085] A data acquisition module, which is used to obtain the operating parameters of each substation terminal, and perform data cleaning and preprocessing to obtain operating data;

[0086] A data analysis module, the data analysis module is used to perform data calculation on each of the operating data and the historical operating data to obtain a difference, make a judgment based on the difference, and obtain a status analysis result;

[0087] A dynamic analysis module, which calculates the operation data and historical operation data of the substation intelligent terminal that is currently in an abnormal state to obtain a weighted value of each group of parameters, and then dynamically analyzes the operation parameters of the substation intelligent terminal;

[0088] A decision processing module, which judges the results based on the status analysis and dynamic analysis, and then issues decision instructions to the substation equipment terminal, including alarming, shutting down the substation equipment terminal and adjusting parameters.

[0089] The execution control module is used to control the substation equipment terminal to execute corresponding actions through the control interface after receiving the decision-making instructions; at the same time, the execution control module is also responsible for monitoring the execution process to ensure the accurate execution of the decision-making instructions.

[0090] The use process of the above-mentioned dynamic scene action decision system for substation intelligent terminal is as follows:

[0091] Step 1: The data analysis module obtains the operating parameters of each substation equipment terminal, and performs data cleaning and preprocessing to obtain operating data;

[0092] Step 2: The data analysis module is used to perform data calculation on each of the operating data and the historical operating data to obtain a difference, make a judgment based on the difference, and obtain a status analysis result;

[0093] Step 3: The dynamic analysis module calculates the operation data and historical operation data of the substation intelligent terminal that is currently in an abnormal state, obtains the weighted value of each group of parameters, and then dynamically analyzes the operation parameters of the substation intelligent terminal;

[0094] Step 4: The decision processing module judges the results of the state analysis and dynamic analysis, makes a decision, and then issues a decision instruction to the substation equipment terminal, including alarming, shutting down the substation equipment terminal and adjusting parameters;

[0095] Step 5: After receiving the decision instruction at the substation terminal, the execution control module controls the terminal to execute the corresponding action through the control interface, and monitors the execution process to ensure the accurate execution of the decision instruction.

[0096] In summary, the advantages of the present invention are: through real-time monitoring, dynamic analysis and rapid decision-making, intelligent control of substation intelligent terminals in different operating scenarios is realized; the method and system can significantly improve the automation level and operating efficiency of substation intelligent terminals, reduce the risks of human intervention and misoperation, and provide strong guarantees for the safe and stable operation of smart grids.

[0097] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A dynamic scene action decision method for a power transformation intelligent terminal, characterized in that: include: S1. Real-time collection and preprocessing of operating parameters of the substation intelligent terminal to obtain operating data; S2. Perform data analysis based on the operating data in step S1 to obtain a status analysis result; S3. Based on the status analysis result of step S2, dynamically analyze the operation scenario of the substation intelligent terminal that is currently in an abnormal state; S4, based on the results of the state analysis and dynamic analysis in step S3, issuing a decision instruction to the substation equipment terminal; S5. Based on step S4, the substation terminal receives the decision instruction and performs corresponding actions.

2. The dynamic scene action decision method for a power transformation intelligent terminal according to claim 1 is characterized in that: The operation parameters of the substation intelligent terminal are collected and preprocessed in real time in step S1 to obtain the operation data including: Through the integrated sensor network, the operating parameters of the substation intelligent terminal are collected in real time, including current, voltage, temperature, humidity, vibration frequency and sound; The operating parameters are cleaned and the data is preprocessed to obtain the operating data.

3. The dynamic scene action decision method for a power transformation intelligent terminal according to claim 1 is characterized in that: The data analysis in step S2 is performed based on the operation data in step S1 to obtain the status analysis result, including: Based on the operation data, extracting historical operation data within the same preset time period as the operation data; The status analysis result is determined based on the operating data and the historical operating data.

4. The dynamic scene action decision method for a power transformation intelligent terminal according to claim 3 is characterized in that: Determining the status analysis result based on the operation data and the historical operation data in step S2 includes: Based on the historical operation data, calculate the average value of the historical operation data in the same period; Calculate the average value of the operating data and the historical operating data, and calculate the difference between them; Combined with the preset threshold, determine whether the difference is within the normal range; If it is within the normal range, it is identified as a normal state; if it exceeds or is lower than the normal range, it is identified as an abnormal state; if the difference exceeding the threshold is greater than a certain set value, it is identified as a fault state.

5. The dynamic scene action decision method for a power transformation intelligent terminal according to claim 1 is characterized in that: The step S3 of dynamically analyzing the operation scenario of the substation intelligent terminal currently in an abnormal state based on the state analysis result includes: Based on the average value of the operation data in abnormal state and the historical operation data, the difference of each group of parameters (including current instability parameters, voltage instability parameters, temperature instability parameters, humidity instability parameters, noise instability parameters and vibration frequency instability parameters) is calculated: Δi=x i -x ref where x i represents the value of the data point of the ith running data, x ref The value representing the reference point of historical operating data; Set a weight w for each group of parameters based on historical data, industry standards and expert experience i ; Compute the weighted value for each set of differences: d i =Δi×w i Based on each group of weighted values, the weighted values ​​of each group of parameters can be sorted from large to small, and the largest group of parameters has the most significant change, which means it has the greatest impact in the abnormal state.

6. The dynamic scene action decision method for a power transformation intelligent terminal according to claim 1 is characterized in that: The issuing of decision instructions to the substation equipment terminal based on the results of the state analysis and the dynamic analysis in step S4 includes: Judge the results of state analysis and dynamic analysis and issue decision instructions; For substation terminal equipment in normal status, continue normal operation and monitoring without issuing any instructions; For substation terminal equipment in a faulty state, directly issue an alarm and shut down the substation equipment terminal, and notify the staff to carry out repairs in a timely manner; Issue instructions to adjust parameters to substation terminal equipment that is in abnormal status.

7. The dynamic scene action decision method for a power transformation intelligent terminal according to claim 6 is characterized in that: The instruction for adjusting the parameters includes: Based on the weighted value ranking of each group of parameters, the adjustment priority of each group of parameters is ranked, and the parameters that have the greatest impact on the abnormal operating status are adjusted first.

8. A dynamic scene action decision system for a power transformation intelligent terminal, used to implement a dynamic scene action decision method for a power transformation intelligent terminal as claimed in any one of claims 1 to 7, characterized in that: include: A data acquisition module, which is used to obtain the operating parameters of each substation terminal, and perform data cleaning and preprocessing to obtain operating data; A data analysis module, the data analysis module is used to perform data calculation on each of the operating data and the historical operating data to obtain a difference, make a judgment based on the difference, and obtain a status analysis result; A dynamic analysis module, which calculates the operation data and historical operation data of the substation intelligent terminal that is currently in an abnormal state to obtain a weighted value of each group of parameters, and then dynamically analyzes the operation parameters of the substation intelligent terminal; A decision processing module, which judges the results based on the status analysis and dynamic analysis, and then issues decision instructions to the substation equipment terminal, including alarming, shutting down the substation equipment terminal and adjusting parameters. The execution control module is used to control the substation equipment terminal to execute corresponding actions through the control interface after receiving the decision-making instructions; at the same time, the execution control module is also responsible for monitoring the execution process to ensure the accurate execution of the decision-making instructions.

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