Main station type cross-station one-key sequential control method and system based on centralized control system

Abstract

The invention discloses a master station type cross-station one-key sequential control method and system based on a centralized control system, and relates to the technical field of power system automation and control, and the method comprises the steps: collecting power grid operation data and equipment state information in real time through various sensors of the centralized control system, carrying out the multi-modal data fusion, and carrying out the multi-modal data fusion through the fused data, the operation process is monitored in real time, and possible errors or abnormal conditions are detected; analyzing the collected data, constructing a prediction model, and intelligently generating an optimal operation strategy and an execution sequence according to a real-time power grid state and an operation history; operation and maintenance personnel start sequential control operation through one key, and the system automatically executes corresponding operation steps according to the operation order. Through the one-key starting function, operation and maintenance personnel can quickly select and execute the pre-generated operation order, and a tedious manual process in traditional operation is avoided. The control instruction automatically generated by the system is analyzed according to the operation order, so that the execution of the operation steps is quicker and more accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of power system automation and control, and in particular to a master-station cross-station one-key sequential control method and system based on a centralized control system. Background Art

[0002] With the rapid development and intelligent upgrading of power systems, higher requirements are placed on the monitoring and management of power grids. The traditional power grid operation mode mainly relies on manual intervention, which is not only inefficient, but also easily affected by human factors, leading to operational errors and equipment failures. This manual operation mode has many limitations in power dispatching, equipment maintenance and fault handling, and cannot meet the modern power grid's requirements for safety, reliability and efficiency;

[0003] In this context, the emergence of centralized control systems provides a new solution for power operations. Through centralized monitoring and dispatching, centralized control systems can collect and analyze real-time data of the power grid, thereby realizing intelligent management. However, the existing centralized control systems still have room for improvement in one-key operation, automated decision-making, and abnormal monitoring. Especially in cross-site control operations, traditional methods often lack effective decision support and real-time monitoring capabilities, which can easily lead to operational delays and safety hazards. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a master-station cross-station one-key sequential control method based on a centralized control system, the method comprising the following steps:

[0006] Step 1: Collect grid operation data and equipment status information in real time through various sensors of the centralized control system to fuse multi-modal data. Use the fused data to monitor the operation process in real time, detect possible errors or abnormal conditions, and automatically issue warnings based on the set thresholds.

[0007] Step 2: Analyze the collected data, build a prediction model, and intelligently generate the optimal operation strategy and execution sequence based on the real-time power grid status and operation history. Based on the optimized operation strategy, the system automatically generates an operation ticket, including operation steps, precautions, and required conditions;

[0008] Step 3: Through the control center, the operation and maintenance personnel start the sequential control operation with one button, and the system automatically executes the corresponding operation steps according to the operation ticket. During the execution process, the system monitors the operation status in real time. If abnormal frequency operation is detected, it will automatically implement locking.

[0009] As a preferred solution of the master-station cross-station one-key sequential control method and system based on the centralized control system of the present invention, in which: during the step 1, the specific data collection and fusion and operation error warning are as follows:

[0010] S1: Real-time collection of grid operation data and equipment status information through various sensors of the centralized control system, denoted as D i (i=1,2,...,n), represents the data value of the i-th sensor at time t;

[0011] S2: By E i (t) represents the state of the i-th sensor at time t, θ i is the threshold value of the sensor,

[0012]

[0013] S3: Through the collected data D i and the state E of the sensor at time t i (t), calculate the average status score S in the statistical time period [t0, t1], reflecting the impact of time on the comprehensive score.

[0014] As a preferred solution of the master-station cross-station one-key sequential control method and system based on the centralized control system of the present invention, the calculation method of the average state score S is:

[0015] S301: By calculating the sensor data D of each sensor i With its status E i (t), emphasizing that data is valid only when the status is normal. The calculation formula is:

[0016] Among them, β i represents the weight index of the i-th sensor, γ i Indicates control 1+exp(-γ i (D i (t)-θ i ))The steepness of the function. This composite function is used to represent the nonlinear impact on the operating state when the data approaches the threshold;

[0017] S302: Based on the above calculation results, the average status score S in the time period is calculated by integration, and the expression is:

[0018]

[0019] Where T represents the time length from [t0, t1], λ·P(t) incorporates the impact of the environmental parameter P(t) into the comprehensive score, and λ represents the importance of the impact.

[0020] As a preferred solution of the master-station cross-station one-key sequential control method and system based on the centralized control system of the present invention, a comprehensive state scoring threshold S is set. threshold , and satisfy the following rules: S threshold , then the alarm mechanism is triggered;

[0021] When S decreases to [S threshold , S threshold -Δ1], reminding the operator to pay attention;

[0022] When S decreases to [S threshold -Δ1,S threshold -Δ2], it is recommended to check the equipment status and record the operation process;

[0023] When S threshold -Δ2, the system automatically and directly performs the locking operation and issues an alarm, where Δ1 and Δ2 are tolerance parameters set according to the specific application situation.

[0024] As a preferred solution of the master-station cross-station one-key sequential control method and system based on the centralized control system of the present invention, the step 2 specifically includes:

[0025] S201: Based on the real-time data and historical operation records collected in step 1, build a machine learning dataset for training and verification

[0026] S202: Extract important features F from the data set j , including time characteristics, statistical characteristics, state characteristics, and environmental characteristics;

[0027] S203: Train the machine learning model based on the extracted features and transform the feature F j As input, the operation strategy is used as output. The data set D is divided into 80% training set and 20% test set. The model is trained using the training set data. The model expression is:

[0028]

[0029] Among them, S h represents the historical operation strategy, Θ is the parameter of the model;

[0030] ​​S204: Using the trained model, the optimal operation strategy and execution sequence are generated according to the real-time power grid status and operation history. According to the optimized operation strategy, the system automatically generates an operation ticket.

[0031] As a preferred solution of the master-station cross-station one-key sequential control method and system based on the centralized control system of the present invention, the step three specifically includes:

[0032] S301: The system parses the specific steps to be executed according to the operation ticket, generates corresponding control instructions C, and automatically executes the operation steps according to the generated control instructions C;

[0033] S302: Setting an abnormal threshold A and calculating the operation frequency Q in real time;

[0034] S303: If Q>A, the system is locked, the operation is stopped immediately, and an alarm is sent to the operation and maintenance personnel, indicating the operation steps that need to be checked.

[0035] As a preferred solution of the master-station cross-station one-key sequential control method and system based on the centralized control system of the present invention, the operation frequency Q is calculated as follows:

[0036]

[0037] Among them, δ k (t) represents the operation time occurring within time t, and n is the time window of detection.

[0038] As a preferred solution of the master-station cross-station one-key sequential control method and system based on the centralized control system of the present invention, the system includes:

[0039] Data acquisition module, which collects grid operation data and equipment status information in real time through various sensors;

[0040] Data processing and analysis module, which realizes multi-modal data fusion, identifies errors or abnormalities during operation, and generates corresponding warnings;

[0041] The decision support module automatically generates an operation ticket based on the analysis results, including operation steps, precautions and required conditions;

[0042] As well as the operation execution module, the system automatically executes the corresponding operation steps according to the generated operation ticket to ensure the order and specifications of the operation.

[0043] A computer device as described above includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the master-station cross-station one-key sequential control method based on the centralized control system are implemented.

[0044] A computer-readable storage medium having a computer program stored thereon, characterized in that: when the computer program is executed by a processor, the steps of the above-mentioned master-station cross-station one-key sequential control method based on a centralized control system are implemented.

[0045] Beneficial effects of the present invention:

[0046] 1. The present invention uses a one-key start function, so that operation and maintenance personnel can quickly select and execute pre-generated operation tickets, avoiding the cumbersome manual process in traditional operations. The control instructions automatically generated by the system are parsed according to the operation ticket, making the execution of operation steps faster and more accurate.

[0047] 2. The present invention timely detects potential abnormal situations by monitoring the comprehensive status score and operation frequency. When the monitored comprehensive status score is less than the set threshold or the operation frequency exceeds the set threshold, the system will automatically implement a lock to prevent unsafe operations from continuing. This lock mechanism ensures that the equipment can be shut down quickly in an emergency, reducing the risk of equipment damage and safety accidents caused by operating errors. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0049] Figure 1 The figure is a flow chart of the master-station cross-station one-key sequential control method based on the centralized control system proposed by the present invention. DETAILED DESCRIPTION

[0050] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0051] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0052] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0053] Reference Figure 1 , is an embodiment of the present invention, providing a master-station cross-station one-key sequential control method and system based on a centralized control system, the method comprising the following steps:

[0054] Step 1: Various sensors in the centralized control system collect grid operation data and equipment status information in real time to fuse multimodal data. The fused data is used to monitor the operation process in real time, detect possible errors or abnormal conditions, and automatically issue warnings based on set thresholds.

[0055] Specifically, in step 1, the specific data collection and fusion as well as the operation error warning are as follows:

[0056] S1: Real-time collection of grid operation data and equipment status information through various sensors of the centralized control system, denoted as D i (i=1,2,...,n), represents the data value of the i-th sensor at time t;

[0057] S2: By E i (t) represents the state of the i-th sensor at time t, θ i is the threshold value of the sensor,

[0058]

[0059] S3: Through the collected data D i and the state E of the sensor at time t i (t), calculate the average status score S in the statistical time period [t0, t1], reflecting the impact of time on the comprehensive score.

[0060] Furthermore, the calculation method of the average status score S is:

[0061] S301: By calculating the sensor data D of each sensor i With its status E i (t), emphasizing that data is valid only when the status is normal. The calculation formula is:

[0062] Among them, β i represents the weight index of the i-th sensor, γ i Indicates control 1+exp(-γ i (D i (t)-θ i ))The steepness of the function. This composite function is used to represent the nonlinear impact on the operating state when the data approaches the threshold;

[0063] S302: Based on the above calculation results, the average status score S in the time period is calculated by integration, and the expression is:

[0064]

[0065] Among them, T represents the time length from [t0, t1], λ·P(t) includes the influence of environmental parameter P(t) into the comprehensive score, λ represents the importance of the influence, and S has a value range of (0, +∞), which represents the comprehensive status score of the system. The higher the value, the more normal the system operation, and vice versa, indicating anomalies. The specific meaning of the score depends on the set threshold. By comparing with the predefined normal status standard, real-time monitoring and early warning can be achieved.

[0066] Set a comprehensive status score threshold S threshold , and satisfy the following rules: S threshold , then the alarm mechanism is triggered;

[0067] When S decreases to [S threshold , S threshold -Δ1], reminding the operator to pay attention;

[0068] When S decreases to [S threshold -Δ1,S threshold -Δ2], it is recommended to check the equipment status and record the operation process;

[0069] When S threshold -Δ2, the system automatically and directly performs the locking operation and issues an alarm, where Δ1 and Δ2 are tolerance parameters set according to specific application conditions. By setting thresholds and their corresponding logical rules, combined with the comprehensive status score S, the system can effectively monitor and respond to potential errors or abnormal conditions to ensure the safe and stable operation of the power grid. This rule is not only operational, but also improves the adaptability of the scenario.

[0070] Step 2: Analyze the collected data, build a prediction model, and intelligently generate the optimal operation strategy and execution sequence based on the real-time power grid status and operation history. Based on the optimized operation strategy, the system automatically generates an operation ticket, including operation steps, precautions, and required conditions;

[0071] Specifically, the step 2 specifically includes:

[0072] S201: Based on the real-time data and historical operation records collected in step 1, build a machine learning dataset for training and verification

[0073] S202: Extract important features F from the data set j , including time characteristics, statistical characteristics, state characteristics, and environmental characteristics;​​

[0074] S203: Train the machine learning model based on the extracted features and transform the feature F j As input, the operation strategy is used as output. The data set D is divided into 80% training set and 20% test set. The model is trained using the training set data. The model expression is:

[0075]

[0076] Among them, S h represents the historical operation strategy, Θ is the parameter of the model;

[0077] S204: Using the trained model, the optimal operation strategy and execution sequence are generated according to the real-time power grid status and operation history. According to the optimized operation strategy, the system automatically generates an operation ticket.

[0078] From the above process, we can see that feature F j It is extracted from the data set, including the real-time data and historical records from step 1. These features are used as input during training to generate the corresponding operation strategy S h As the target output, by learning the relationship between data, a model M is finally generated that can generate operation strategies based on new data.

[0079] Step 3: Through the control center, the operation and maintenance personnel start the sequential control operation with one button, and the system automatically executes the corresponding operation steps according to the operation ticket. During the execution process, the system monitors the operation status in real time. If abnormal frequency operation is detected, it will automatically implement locking.

[0080] Specifically, step three includes:

[0081] S301: The system parses the specific steps to be executed according to the operation ticket, generates corresponding control instructions C, and automatically executes the operation steps according to the generated control instructions C;

[0082] S302: Setting an abnormal threshold A and calculating the operation frequency Q in real time;

[0083] The operation frequency Q is calculated as follows:

[0084]

[0085] Among them, δ k (t) represents the operation time occurring within time t, and n is the time window of detection.

[0086] S303: If Q>A, the system is locked, the operation is stopped immediately, and an alarm is sent to the operation and maintenance personnel, indicating the operation steps that need to be checked.

[0087] This embodiment also provides a master-station cross-station one-key sequential control system based on a centralized control system, the system comprising: a data acquisition module, which collects power grid operation data and equipment status information in real time through various sensors;

[0088] Data processing and analysis module, which realizes multi-modal data fusion, identifies errors or abnormalities during operation, and generates corresponding warnings;

[0089] The decision support module automatically generates an operation ticket based on the analysis results, including operation steps, precautions and required conditions;

[0090] As well as the operation execution module, the system automatically executes the corresponding operation steps according to the generated operation ticket to ensure the order and specifications of the operation.

[0091] In summary, the present invention uses a one-key start function, so that operation and maintenance personnel can quickly select and execute pre-generated operation tickets, avoiding the cumbersome manual process in traditional operations. The control instructions automatically generated by the system are parsed according to the operation ticket, so that the execution of the operation steps is faster and more accurate. The present invention promptly detects potential abnormal situations by monitoring the comprehensive status score and operation frequency. When the monitored comprehensive status score is less than the set threshold or the operation frequency exceeds the set threshold, the system will automatically implement a lock to prevent unsafe operations from continuing. This locking mechanism ensures that the equipment can be shut down quickly in an emergency, reducing the risk of equipment damage and safety accidents caused by operating errors.

[0092] This embodiment also provides a computer device, which is suitable for the master-station cross-station one-key sequential control method and system based on a centralized control system, including: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the master-station cross-station one-key sequential control method and system based on a centralized control system as proposed in the above embodiments.

[0093] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0094] The present embodiment also provides a storage medium on which a computer program is stored. When the program is executed by the processor, the master-station cross-station one-key sequential control method and system based on the centralized control system as proposed in the above embodiment are implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, disk or optical disk.

[0095] 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 preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A master-station cross-station one-key sequential control method based on a centralized control system, characterized in that: The method comprises the following steps: Step 1: Collect grid operation data and equipment status information in real time through various sensors of the centralized control system to fuse multi-modal data. Use the fused data to monitor the operation process in real time, detect possible errors or abnormal conditions, and automatically issue warnings based on the set thresholds. Step 2: Analyze the collected data, build a prediction model, and intelligently generate the optimal operation strategy and execution sequence based on the real-time power grid status and operation history. Based on the optimized operation strategy, the system automatically generates an operation ticket, including operation steps, precautions, and required conditions; Step 3: Through the control center, the operation and maintenance personnel start the sequential control operation with one button, and the system automatically executes the corresponding operation steps according to the operation ticket. During the execution process, the system monitors the operation status in real time. If abnormal frequency operation is detected, it will automatically implement locking.

2. According to the master-station cross-station one-key sequential control method based on the centralized control system of claim 1, it is characterized by: During step 1, the specific data collection and fusion as well as operation error warning are as follows: S1: Real-time collection of grid operation data and equipment status information through various sensors of the centralized control system, denoted as D i (i=1,2,...,n), represents the data value of the i-th sensor at time t; S2: By E i (t) represents the state of the i-th sensor at time t, θ i is the threshold value of the sensor, S3: Through the collected data D i and the state E of the sensor at time t i (t), calculate the average status score S in the statistical time period [t0, t1[, reflecting the impact of time on the comprehensive score.

3. The master-station cross-station one-key sequential control method based on the centralized control system according to claim 2 is characterized in that: The calculation method of the average state score S is: S301: By calculating the sensor data D of each sensor i With its status E i (t), emphasizing that data is valid only when the status is normal. The calculation formula is: Among them, β i represents the weight index of the i-th sensor, γ i Indicates control 1+exp(-γ i (D i (t)-θ i ))The steepness of the function. This composite function is used to represent the nonlinear impact on the operating state when the data approaches the threshold; S302: Based on the above calculation results, the average status evaluation within the time period is calculated by integration. Where T represents the time length from [t0, t1], λ·P(t) incorporates the impact of the environmental parameter P(t) into the comprehensive score, and λ represents the importance of the impact.

4. The master-station cross-station one-key sequential control method based on the centralized control system according to claim 3 is characterized in that: Set a comprehensive status score threshold S threshold , and satisfy the following rules: S threshold , then the alarm mechanism is triggered;​ When S decreases to [S threshold , S threshold -Δ1], reminding the operator to pay attention; When S decreases to [S threshold -Δ1,S threshold -Δ2], it is recommended to check the equipment status and record the operation process; When S threshold -Δ2, the system automatically and directly performs the locking operation and issues an alarm, where Δ1 and Δ2 are tolerance parameters set according to the specific application situation.​ 5. The master-station cross-station one-key sequential control method based on the centralized control system according to claim 4 is characterized in that: The step 2 specifically includes: S201: Based on the real-time data and historical operation records collected in step 1, build a machine learning dataset for training and verification S202: Extract important features F from the data set j , including time characteristics, statistical characteristics, state characteristics, and environmental characteristics; S203: Train the machine learning model based on the extracted features and transform the feature F j As input, the operation strategy is used as output. The data set D is divided into 80% training set and 20% test set. The model is trained using the training set data. The model expression is: Among them, S h represents the historical operation strategy, Θ is the parameter of the model; S204: Using the trained model, the optimal operation strategy and execution sequence are generated according to the real-time power grid status and operation history. According to the optimized operation strategy, the system automatically generates an operation ticket.

6. The master-station cross-station one-key sequential control method based on the centralized control system according to claim 5 is characterized in that: The step three specifically includes: S301: The system parses the specific steps to be executed according to the operation ticket, generates corresponding control instructions C, and automatically executes the operation steps according to the generated control instructions C; S302: Setting an abnormal threshold A and calculating the operation frequency Q in real time; S303: If Q>A, the system is locked, the operation is stopped immediately, and an alarm is sent to the operation and maintenance personnel, indicating the operation steps that need to be checked.

7. The master-station cross-station one-key sequential control method based on the centralized control system according to claim 6 is characterized in that: The operation frequency Q is calculated as follows: Among them, δ k (t) represents the operation time occurring within time t, and n is the time window of detection.

8. The control system of the master-station cross-station one-key sequential control method based on the centralized control system according to claim 7 is characterized in that: The system includes: Data acquisition module, which collects grid operation data and equipment status information in real time through various sensors; Data processing and analysis module, which realizes multi-modal data fusion, identifies errors or abnormalities during operation, and generates corresponding warnings; The decision support module automatically generates an operation ticket based on the analysis results, including operation steps, precautions and required conditions; As well as the operation execution module, the system automatically executes the corresponding operation steps according to the generated operation ticket to ensure the order and specifications of the operation.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the master-station cross-station one-key sequential control method based on the centralized control system according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of the master-station cross-station one-key sequential control method based on the centralized control system according to any one of claims 1 to 7 are implemented.

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