Monitoring and control device, monitoring and control system, monitoring and control method, and program

Abstract

The present invention provides a monitoring and control device, a monitoring and control system, a monitoring and control method, and a program that can reduce the burden on workers. [Solution] The system includes: a model generation unit that generates an operation model for estimating operations for a monitored target by learning operation data that shows the correspondence between the state of the monitored target and the control based on past operating records for the monitored target; a determination unit that determines the trend of the monitored target based on state information indicating the state of the monitored target and the operation model; a proposal unit that proposes control for the monitored target based on the determination result by the determination unit and the operation model; and an execution unit that executes control for the monitored target according to the trend of the monitored target.

Description

Technical Field

[0001] The present disclosure relates to a monitoring and control device, a monitoring and control system, a monitoring and control method, and a program.

Background Art

[0002] There is a monitoring and control system for monitoring and controlling a device to be monitored and controlled. For example, Patent Document 1 discloses a technique for providing guidance on operations by patternizing, accumulating, and learning the history of human operations.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, in the operation of a monitoring and control system, it is necessary for an operator to set commands and operation conditions in consideration of the current state. For example, in a central power supply control station that monitors and controls a power system, it is necessary for a system operator to set commands to generators and operation conditions in consideration of the overall supply-demand balance of the power system. Therefore, even if guidance on operations is presented, the operator has to perform the operations while judging whether the operations are appropriate, which places a heavy burden on the system operator and makes operation errors likely to occur.

[0005] The present disclosure has been made in view of such circumstances, and provides a monitoring and control device, a monitoring and control system, a monitoring and control method, and a program that can reduce the burden on a system operator.

Means for Solving the Problems

[0006] This invention has been made to solve the above-mentioned problems, and one aspect of this disclosure is a monitoring control device comprising: a model generation unit that generates an operation model for estimating operation for a monitored target by learning operation performance data that shows the correspondence between the state of the monitored target and control based on past operating performance for the monitored target; a determination unit that determines the trend of the monitored target based on state information indicating the state of the monitored target and the operation model; a proposal unit that proposes control for the monitored target based on the determination result by the determination unit and the operation model; and an execution unit that executes control for the monitored target according to the trend of the monitored target.

[0007] Another aspect of this disclosure is a monitoring and control system comprising the monitoring and control device described above, and a wide-area power supply and demand adjustment device that is communicably connected to the monitoring and control device and transmits supply and demand data indicating the power supply and demand situation to the monitoring and control device, wherein the model generation unit generates the operational model by learning the operational performance data including the supply and demand data.

[0008] Another aspect of this disclosure is a monitoring and control method performed by a computer which is a monitoring and control device, wherein a model generation unit generates an operation model that estimates operations for the monitored target by learning operation performance data that shows the correspondence between the state of the monitored target and the control based on past operating performance for the monitored target; a determination unit determines the trend of the monitored target based on state information indicating the state of the monitored target and the operation model; a proposal unit proposes controls for the monitored target based on the determination result by the determination unit and the operation model; and an execution unit executes controls for the monitored target according to the trend of the monitored target.

[0009] Another aspect of this disclosure is a program that causes a computer, which is a monitoring and control device, to generate an operational model for estimating operations for a monitored object by having it learn operational data that shows the correspondence between the state of the monitored object and the control based on past operating performance of the monitored object; causes it to determine the trend of the monitored object based on state information indicating the state of the monitored object and the operational model; causes it to propose control for the monitored object based on the determined result and the operational model; and causes it to execute control for the monitored object according to the trend of the monitored object. [Effects of the Invention]

[0010] According to this disclosure, the burden on workers can be reduced. [Brief explanation of the drawing]

[0011] [Figure 1] This is a block diagram showing an example configuration of the monitoring and control system 1 according to an embodiment. [Figure 2] This is a block diagram showing an example configuration of the monitoring and control device 10 in an embodiment. [Figure 3] This is a diagram illustrating the processing performed by the monitoring and control device 10 in the embodiment. [Figure 4] This is a diagram illustrating the processing performed by the monitoring and control device 10 in the embodiment. [Figure 5] This is a flowchart showing the processing flow performed by the monitoring and control device 10 in the embodiment. [Modes for carrying out the invention]

[0012] Embodiments of the present disclosure will be described below with reference to the drawings. In this disclosure, power equipment installed in a power system is used as the monitored equipment, and the case in which the status of the power equipment is monitored and controlled is described as an example. In this disclosure, the same or corresponding parts are denoted by the same reference numerals, and their descriptions are not repeated.

[0013] Figure 1 is a block diagram showing an example configuration of a monitoring and control system 1 according to an embodiment. The monitoring and control system 1 includes, for example, a monitoring and control device 10, an operating terminal 20, a plurality of monitoring and control target devices T-1, T-2, T-3, ..., and a wide-area power supply and demand adjustment device 100. In the following description, when the plurality of monitoring and control target devices T-1, T-2, T-3, ... are not distinguished, they will simply be referred to as a plurality of monitoring and control target devices T.

[0014] In the monitoring and control system 1, the monitoring and control device 10, the operation terminal 20, and the monitored and controlled equipment T are connected via a communication network such as a wide area network (WAN) or local area network (LAN) and communicate using IP (Internet Protocol). Furthermore, the monitoring and control device 10 and the wide area power supply and demand adjustment device 100 are connected via a communication network such as a wide area network (WAN) or LAN. The communication networks of the monitoring and control device 10, the operation terminal 20, and the monitored and controlled equipment T may be different from the communication networks of the monitoring and control device 10 and the wide area power supply and demand adjustment device 100.

[0015] The monitored and controlled equipment T is power equipment installed in the power system, such as power generation equipment, distribution equipment, substation equipment, circuit breakers, switches, disconnectors, grounding equipment, valves, switches, etc. The monitored and controlled equipment T is measured by measuring instruments that measure the state of the monitored and controlled equipment T, such as the current value, current direction, frequency, voltage value, power generation equipment, distribution equipment, substation equipment, circuit breakers, switches, etc.

[0016] The monitoring and control device 10 monitors and controls the monitoring and control target equipment T installed in the power system. In this figure, an example is shown in which the monitoring and control device 10 monitors and controls the monitoring and control target equipment T installed in the power system of monitoring area E.

[0017] The monitoring and control device 10 monitors the monitored and controlled device T by sequentially receiving status data indicating the status of the monitored and controlled device T via the communication network. The monitoring and control device 10 controls the monitored and controlled device T by receiving operation signals for operating the monitored and controlled device T from the operation terminal 20 via the communication network and outputting the received operation signals to the monitored and controlled device T. More specifically, the monitoring and control device 10 generates various screens used for monitoring and controlling the monitored and controlled device T based on the status data and operation signals, and displays the generated screens on the operation terminal 20.

[0018] The operation terminal 20 has an output device and an input device. The output device is a display that shows various screens used for monitoring and controlling the monitored and controlled equipment T, which are generated by the monitoring and control device 10. The input device is an input device such as a mouse or keyboard, which is used by a system operator, such as an operator, to perform input processing. The operation terminal 20 acquires operation signals input from the system operator via the input device. The operation signals are operation signals for operating the monitored and controlled equipment T. The operation terminal 20 transmits the acquired operation signals to the monitoring and control device 10.

[0019] The wide-area power supply and demand adjustment device 100 adjusts the supply and demand balance between the amount of electricity demanded and the amount of electricity supplied. The wide-area power supply and demand adjustment device 100 is communicably connected to the monitoring control device 10 and one or more other monitoring control devices different from the monitoring control device 10. Other monitoring control devices are devices that monitor and control power facilities located in areas different from the monitoring area E of the monitoring control device 10. The wide-area power supply and demand adjustment device 100 transmits supply and demand data to the monitoring control device 10. The supply and demand data is data that shows the power supply and demand situation in the monitoring area E and other monitoring areas monitored by the other monitoring control devices, and includes, for example, the amount of electricity generated by power generation facilities, the amount of electricity consumed by consumers, the amount of power adjustment necessary to adjust the balance between supply and demand, and the amount of electricity necessary to correct frequency deviations and interconnection line power flow deviations in other monitoring areas. Interconnection line power flow deviation is the deviation of electricity flowing through interconnection lines, which are transmission facilities that connect different power systems. The degree of supply and demand tightness may also be shown as data indicating the power situation.

[0020] Here, in the conventional monitoring and control system, the grid operator sets the power generation command value for the power generation facility in consideration of the constantly changing supply and demand situation, and sets the operating conditions so that the frequency, voltage, etc. are maintained within a certain range so that the power grid functions safely and efficiently. When there are many events that the grid operator needs to consider, the burden on the grid operator is large and operational errors are likely to occur. In the operation of the monitoring and control system, what command value to set depends on the judgment of the grid operator. If the grid operator himself makes a wrong judgment, there is no means to point out the error of the judgment. Also, even if the grid operator sets an incorrect command value or the like, as long as the set command value or the like meets the input requirements, it will be accepted by the monitoring and control system, so there are cases where a command value that is not necessarily the best is set. Also, in the monitoring and control system, the wide-area power supply and demand adjustment device exchanges supply and demand data, but whether the set value etc. considering the received supply and demand data conforms to the status of the monitoring and control target device, that is, whether it is an appropriate set value, depends on the grid operator, and there is no means to verify whether it is an appropriate set value. Also, if an abnormality occurs in the monitoring and control system, the operation of the monitoring and control target device T is temporarily restricted and the cooperation with the external wide-area power supply and demand adjustment device may be interrupted in order for the grid operator to judge the event related to the occurred abnormality and the operation method as a countermeasure.

[0021] As countermeasures against these, in the monitoring and control system 1 of the present embodiment, operation support for reducing the burden on the grid operator is performed. Specifically, the monitoring and control system 1 performs abnormal symptom detection, operation proposal, and operation continuation (see FIG. 3). Anomaly detection refers to predicting whether or not there are signs of anomalies in the power system. Operational proposals refer to predicting operations to be proposed to system operators in order to stably operate the power system. Operational continuity refers to predicting operations to be performed automatically or semi-automatically on behalf of system operators or based on system operators' operational policies in order to reduce the operational burden on system operators. More specifically, in the monitoring and control system 1, the monitoring and control device 10 generates an operational model using operational performance data. The operational performance data is data that shows the operational performance of the power system, and for example, it is data that shows some or all of the status data, operation signals, and supply and demand data. The monitoring and control device 10 detects signs of abnormality using the operational model. For example, the monitoring and control device 10 uses the operational model to determine whether or not settings have been made that differ from the normally performed operations or operating methods, which are patterns learned by the operational model. If settings different from the normally performed operations or operating methods have been made, the monitoring and control device 10 detects a sign of abnormality, indicating that there is a sign of abnormality in the power system or the monitored and controlled equipment T. When the monitoring and control device 10 detects a sign of abnormality, it transmits this information to the operation terminal 20 to warn the system operator. Furthermore, the monitoring and control device 10 may also use the operational model to suggest operations and operating methods. Furthermore, if the operation of the monitored and controlled equipment T is temporarily restricted due to the detection of abnormal signs, or in situations where a small number of system operators must operate the operation terminal 20 at night, the monitoring and control device 10 may use an operation model to perform all or part of the operations and operating methods on behalf of the system operators. In this way, by detecting signs of abnormality and issuing warnings, it is possible to prompt system operators to take action and prevent abnormalities from occurring. Furthermore, by providing operational suggestions and temporarily performing operations on behalf of system operators, the workload on system operators can be reduced and operational errors can be prevented.

[0022] Figure 2 is a block diagram showing an example configuration of the monitoring and control device 10 in an embodiment. The monitoring and control device 10 includes a communication unit 101, an acquisition unit 102, a model generation unit 103, a determination unit 104, a proposal unit 105, an execution unit 106, an operation model information storage unit 107, and an operation performance information storage unit 108.

[0023] The communication unit 101 communicates with the operation terminal 20 and the monitored and controlled device T. For example, the communication unit 101 receives an operation signal from the operation terminal 20 and transmits the received operation signal to the monitored and controlled device T. The communication unit 101 receives status data from the monitored and controlled device T. The communication unit 101 transmits to the operation terminal 20 image information of various screens used for monitoring and controlling the monitored and controlled device T, which is generated based on the status data and the operation signal.

[0024] The acquisition unit 102 acquires various types of information. For example, the acquisition unit 102 acquires operational performance data. Operational performance data is data that shows the operational performance of the power system used for learning to generate the operational model described later, and is data to which some or all of the following are associated, such as status data, operation signals, and supply and demand data. The acquisition unit 102 stores the acquired operational performance data in the operational performance information storage unit 108.

[0025] Furthermore, the acquisition unit 102 acquires the data to be predicted. The data to be predicted is the data input to the operational model when making operational predictions using the operational model, and is some or all of the status data, operation signals, and supply and demand data to be predicted. The acquisition unit 102 outputs the acquired data to be predicted to the determination unit 104.

[0026] The model generation unit 103 generates an operational model. The operational model is a model that makes predictions regarding the operation of the power system. Predictions related to operation include, for example, the detection of abnormal signs, operational suggestions, and predictions regarding the continuation of operations.

[0027] The model generation unit 103 generates an operational model, for example, by having a learning model learn a training dataset based on operational performance data. Specifically, the model generation unit 103 first generates a training dataset using operational performance data. A training dataset is information used in machine learning (supervised learning) to learn the relationships between given data. For example, a training dataset is data that associates the state of the monitored and controlled equipment T and the supply and demand situation of the monitoring area with the operations performed on the monitored and controlled equipment T in past operational performance. The model generation unit 103 uses a learning model for generating a classifier through supervised learning, such as SVM (Support Vector Machine) or DL ​​(Deep Learning), to have the learning model learn the training dataset. As a result, the learning model learns the correspondence between the state of the monitored and controlled equipment T and the supply and demand situation of the monitoring area, and the operations performed on the monitored and controlled equipment T. By learning the correspondence, the learning model is trained to predict appropriate operations on the monitored and controlled equipment T according to the state of the monitored and controlled equipment T and the supply and demand situation of the monitoring area, which are the targets for prediction. The model generation unit 103 generates a trained model as an operational model that can predict the appropriate operation of the monitored and controlled device T. The model generation unit 103 stores the information necessary to construct the generated operational model in the operational model information storage unit 107.

[0028] The determination unit 104 determines the tendency of the monitored and controlled device T. Specifically, the determination unit 104 determines whether the monitored and controlled device T tends to show abnormalities. For example, the determination unit 104 determines whether the monitored and controlled device T tends to be stable or unstable. When the monitored and controlled device T becomes unstable, abnormalities are more likely to occur in the power system. Therefore, by determining the tendency of the monitored and controlled device T, the determination unit 104 can detect whether or not there is a tendency to show abnormalities, that is, it can detect signs of abnormality. The determination unit 104 determines the trend of the monitored and controlled device T based on state data, which is state information indicating the state of the monitored and controlled device T, and an operation model. The state information indicating the state of the monitored and controlled device T may include supply and demand data indicating the supply and demand situation of the monitoring area, and operation signals for the monitored and controlled device T. Here, the operation model used by the determination unit 104 to determine the trend of the monitored and controlled device T is a model that has learned the correspondence between state information and the trend of the monitored and controlled device T by learning a training dataset in which any one or a combination of state data, supply and demand data, and operation signals is labeled to indicate whether the monitored and controlled device T is stable or unstable. The determination unit 104 inputs state information indicating the state of the monitored and controlled device T into the operation model. In response to the input state information, the operation model predicts the trend of the monitored and controlled device T based on the learned correspondence and outputs the prediction result. The determination unit 104 considers the prediction result output from the operation model as the trend of the monitored and controlled device T.

[0029] The proposal unit 105 proposes an operation as control for the monitored and controlled device T, based on the determination result from the determination unit 104 and the operational model. The proposal unit 105 predicts the operations to be performed on the monitored and controlled equipment T using an operational model. The operational model used by the proposal unit 105 to predict the operations on the monitored and controlled equipment T is, for example, a model that has learned the correspondence between state information and operations on the monitored and controlled equipment T by training a training dataset in which labels indicating operation signals for the monitored and controlled equipment T are attached to either state data, supply and demand data, or a combination thereof. The proposal unit 105 inputs state information indicating the state of the monitored and controlled equipment T into the operational model. In response to the input state information, the operational model predicts the operations to be performed on the monitored and controlled equipment T based on the learned correspondence and outputs the prediction result. The proposal unit 105 uses the prediction result output from the operational model as a candidate for operations on the monitored and controlled equipment T to propose to the system operator.

[0030] Based on the determination result from the judgment unit 104, the proposal unit 105 determines whether or not to propose an operation of the monitored and controlled device T to the system operator. Specifically, if the judgment unit 104 determines that the monitored and controlled device T tends to show abnormalities, the proposal unit 105 proposes an operation of the monitored and controlled device T to the system operator. For example, the suggestion unit 105 suggests an operation to the system operator for the monitored and controlled equipment T when the state of the monitored and controlled equipment T is different from normal. Alternatively, the suggestion unit 105 suggests an operation to the system operator for the monitored and controlled equipment T when the command value set by the system operator is different from normal operation. Furthermore, the suggestion unit 105 suggests an operation to the system operator for the monitored and controlled equipment T when the supply and demand situation is different from normal. This makes it possible to easily verify whether the operation is appropriate without increasing the load on the system operator when the supply and demand situation, the status of the monitored and controlled equipment T are different from normal, or when unusual signs are observed due to improper operation of the monitored and controlled equipment T, thereby preventing the occurrence of abnormalities. On the other hand, when the supply and demand situation, the status of the monitored and controlled equipment T are normal, and the operation of the monitored and controlled equipment T is appropriate, the system operator is not required to perform any additional verification work by not proposing any operations on the monitored and controlled equipment T.

[0031] The execution unit 106 executes control operations on the monitored and controlled device T according to the trends of the monitored and controlled device T. The operations performed by the execution unit 106 here are, for example, operations on the monitored and controlled device T predicted by the proposal unit 105. The execution unit 106 executes control over the monitored and controlled equipment T during periods when the system operator is not performing control over the monitored and controlled equipment T. A period when control is not being performed might be, for example, a period during which the system operator needs time to understand the events related to the abnormality and to consider countermeasures. In other words, the execution unit 106, in response to the proposal unit 105 determining that the monitored and controlled equipment T shows a tendency towards abnormality, executes control over the monitored and controlled equipment T during periods when the system operator's control over the monitored and controlled equipment T is interrupted. Furthermore, as a period during which no control is performed, a period during the night or other time when a small number of people are responsible for operating the control terminal 20 may be applied. In this case, the execution unit 106 performs control of the monitored and controlled equipment T on behalf of the system operator, depending on a predetermined time period, for example, during the night.

[0032] Here, the execution unit 106 may perform control over the monitored and controlled device T automatically or semi-automatically when performing an operation on the monitored and controlled device T. When the execution unit 106 automatically performs control on the monitored and controlled device T, it means that the execution unit 106 performs the operation on the monitored and controlled device T that was predicted by the proposal unit 105.

[0033] The execution unit 106 performing control on the monitored and controlled device T semi-automatically means performing control on the monitored and controlled device T in accordance with the system operator's operational policy. In this case, the grid operator sets an operational policy. The operational policy set here indicates a general trend; for example, if it is an operation to set command values ​​for power generation equipment, it will indicate whether to increase, maintain, or decrease the amount of power generated. The grid operator may also set as an operational policy the degree to which the amount of power generated will be increased or decreased, for example, whether to increase or decrease it as rapidly as possible or increase or decrease it gradually.

[0034] Furthermore, the execution unit 106 may differentiate whether or not to perform control semi-automatically for each function. For example, the execution unit 106 may perform automatic control for setting command values ​​for power generation equipment and manual control for circuit breakers. In this case, for example, the monitoring and control device 10 stores table information indicating whether or not semi-automatic control is possible for each function. The execution unit 106 refers to this table information and, for functions that can be controlled semi-automatically, notifies that semi-automatic control is possible when making operational suggestions. For functions that are not controlled semi-automatically, the execution unit 106 does not notify that semi-automatic control is possible when making operational suggestions.

[0035] Furthermore, system operators may set a period for semi-automatic control as part of their operational policy. When performing control of the monitored and controlled equipment T in a "semi-automatic" manner, the execution unit 106 uses an operational model to re-predict operations in accordance with the operational policy. The operational model used by the execution unit 106 is, for example, a model that learns the correspondence between state information and operations on the monitored and controlled equipment T by learning a training dataset in which operation signals for the monitored and controlled equipment T that are in accordance with the operational policy are labeled to either state data, supply and demand data, or a combination thereof. In this case, for example, the model generation unit 103 generates in advance multiple operational models that make predictions corresponding to assumed operational policies, such as increasing, maintaining, or decreasing power generation. The execution unit 106 selects an operation model in accordance with the operation policy set by the system operator and inputs status information indicating the state of the monitored and controlled device T to the selected operation model. In response to the input status information, the operation model predicts the operation to be performed on the monitored and controlled device T based on learned correspondences and outputs the prediction result. The execution unit 106 then semi-automatically performs the operation based on the prediction result output from the operation model on behalf of the system operator.

[0036] The operational model information storage unit 107 stores operational model information. Operational model information is information used to construct the operational model generated by the model generation unit 103.

[0037] The operational performance information storage unit 108 stores operational performance information. This operational performance information is information from the operational performance of the power system that is used to generate an operational model, and is, for example, operational performance data acquired by the acquisition unit 102.

[0038] Here, we will explain the operational model using Figure 3. Figure 3 is a diagram illustrating the processing performed by the monitoring and control device 10 in the embodiment. In this diagram, the operation history, received data, and supply and demand performance correspond to the operation performance information stored in the operation performance information storage unit 108. The operation history is information showing the time-series changes of operation signals. The received data is supply and demand data received from the wide-area power supply and demand adjustment device 100. The supply and demand performance is information showing the time-series changes of the supply and demand situation based on the supply and demand data. The supply and demand performance may also include information showing the time-series changes of status data. As shown in this figure, the model generation unit 103 of the monitoring and control device 10 generates an operational model by performing machine learning using operation history, received data, and supply and demand performance data. Furthermore, as shown in this figure, the model generation unit 103 may generate a model-patterned operation model by classifying operations that occur frequently or special operations using operation history, received data, and supply and demand records. This diagram shows operational models M1 to M3. Operational model M1 is a model that performs abnormality detection. Operational model M1 detects abnormal patterns based on status data and operation signals, for example. Operational model M1 detects abnormalities in external linked data, i.e., supply and demand data received from the wide-area power supply and demand adjustment device 100. When operational model M1 detects an abnormality, the monitoring and control device 10 notifies the operation terminal 20 of this fact as an abnormality indication inquiry and prompts the system operator to confirm. Operational model M2 is a model that makes operational suggestions. Operational model M2 predicts operations for the monitored and controlled equipment T based on status data, operation signals, and supply and demand data, for example. The monitoring and control device 10 notifies the operation terminal 20 of the operations predicted by operational model M2 as operational support, according to the trends of the monitored and controlled equipment T, thereby reducing the operational burden on the system operator. In this figure, an example is shown in which messages such as "The next operation is ○○" and "The input value is ○○MW" are notified to the operation terminal 20 as operational support. Operation model M3 is a model for continuing operations. For example, if an abnormality occurs in the power system or the monitored and controlled equipment T, operation model M3 will continue operations by performing operations on behalf of the system operator. In this diagram, operation model M3 determines which of the operation patterns classified based on past history, i.e., operation history, received data, and supply and demand performance, the abnormality that has occurred corresponds to, and performs operations according to the determined operation pattern. The monitoring and control device 10 notifies the operation terminal 20 of the operations performed on behalf of the system operator as a suggested operation method and automatic completion of command values.

[0039] Figure 4 is a diagram illustrating the processes performed by the monitoring and control device 10 in the embodiment. Figure 4 shows an example of a screen that the monitoring and control device 10 displays on the operation terminal 20. In this diagram, four screens, G1 to G4, are shown.

[0040] Screen G1 is a power system diagram including the monitored and controlled equipment T. This power system diagram shows the electrical equipment of the monitored and controlled equipment T as follows: busbars B (busbars B1, B2), wires D (wires D1 to D3), circuit breakers CB (circuit breakers CB1 to CB3), disconnectors LS (disconnectors LS1 to LS3), and generators G (generators G1, G2). In this power system diagram, generator G2 is assumed to be the monitored and controlled device T, referred to as generator A.

[0041] Screen G2 is a screen that shows the operation mode. One of the following operation modes is displayed: automatic mode, semi-automatic mode, or manual mode. In automatic mode, the execution unit 106 performs the operations predicted by the suggestion unit 105. In semi-automatic mode, the execution unit 106 performs operations in accordance with the system operator's operational policy. In manual mode, no operations are performed by the execution unit 106, and operations are performed by the system operator. In this figure, screen G2 shows that the operation mode is semi-automatic mode.

[0042] Screen G3 shows the operational suggestion screen. In this diagram, the control target for the operational suggestion is shown to be generator A. It is also shown that the current command value for generator A is AAAA. The operational suggestion displays the message, "Demand is increasing. We recommend changing the command value to BBBB."

[0043] Screen G4 indicates that operations will continue. In this diagram, the message "Control target: Change the command value of generator A to BBBB" is displayed along with operation buttons indicating "Yes" and "No". If the system operator selects the "Yes" button, the operation to set the command value of generator A to BBBB will be executed. On the other hand, if the system operator selects the "No" button, the operation to set the command value of generator A to BBBB will not be executed.

[0044] Thus, in semi-automatic mode, the operation may be continued while indicating the status of the monitored and controlled device T as an operational suggestion.

[0045] Furthermore, the operation terminal 20 may be configured to display a screen showing the operation history in similar situations in the past, such as the number of times a similar situation occurred in the past, the number of times the proposed operation was performed in similar situations that occurred in the past, and the ratio of the number of times the proposed operation was performed to the total number of similar situations that occurred in the past.

[0046] In addition, in semi-automatic mode, the monitoring and control device 10 may display a screen for setting the operational policy on the operating terminal 20.

[0047] Furthermore, the monitoring and control device 10 may also display a screen on the operation terminal 20 that shows the reason for any abnormality detected and allows the system operator to confirm whether or not to switch the operation mode to semi-automatic mode or automatic mode.

[0048] Figure 5 is a flowchart showing the processing flow performed by the monitoring and control device 10 in the embodiment. This flowchart assumes that the operational model has already been generated by the model generation unit 103.

[0049] First, the acquisition unit 102 of the monitoring and control device 10 acquires status information of the monitored and controlled device T (step S10). The determination unit 104 of the monitoring and control device 10 uses the operation model M to determine signs of abnormality in the monitored and controlled device T (step S11). The monitoring and control device 10 displays the determination result from the determination unit 104 on the operation terminal 20 (step S12). Here, along with the determination result from the determination unit 104, the monitoring and control device 10 displays a selection screen on the operation terminal 20 for the system operator to select an operation mode. When the selection screen is displayed on the operation terminal 20, the system operator selects an operation mode according to the displayed content. In response to the selection operation performed by the system operator, the operation terminal 20 notifies the monitoring and control device 10 of information indicating the selected operation mode.

[0050] The monitoring and control device 10 determines the operation mode (step S13). The monitoring and control device 10 receives the selection result notified from the operation terminal 20 and determines the operation mode indicated in the received selection result.

[0051] If the operation mode is manual mode, the monitoring and control device 10 displays on the operation terminal 20 that the operation mode is manual mode (step S14). In manual mode, the system operator sets command values ​​for operating the monitored and controlled equipment T and performs an operation to confirm those command values. In response to the operation performed by the system operator, the operation terminal 20 notifies the monitoring and control device 10 of information indicating the set command values. The monitoring and control device 10 acquires the command values ​​as control instructions from the operation terminal 20 (step S15). The monitoring and control device 10 executes control of the monitored and controlled equipment T by performing an operation according to the acquired command values ​​(step S16).

[0052] If the operation mode is semi-automatic mode, the monitoring and control device 10 displays on the operation terminal 20 that the operation mode is semi-automatic mode (step S17). In semi-automatic mode, the proposal unit 105 of the monitoring and control device 10 proposes control according to the state of the power system or the monitored and controlled equipment T (step S18). The proposal unit 105 also displays a confirmation screen on the operation terminal 20 to confirm whether or not the proposed control should be executed. The system operator confirms the operation plan and performs an operation to approve the proposed command values, etc. In response to the operation performed by the system operator, the operation terminal 20 notifies the monitoring and control device 10 of information indicating that the execution of the control based on the operation proposal has been approved. The acquisition unit 102 of the monitoring and control device 10 acquires a control instruction from the operation terminal 20 indicating that the operation proposal has been approved (step S19). The execution unit 106 of the monitoring and control device 10 executes the control of the monitored and controlled equipment T by performing an operation according to the acquired control instruction, that is, an operation according to the operation proposal (step S20).

[0053] If the operation mode is automatic mode, the monitoring and control device 10 displays on the operation terminal 20 that the operation mode is automatic mode (step S21). In automatic mode, the proposal unit 105 of the monitoring and control device 10 proposes control according to the state of the power system or the monitored and controlled equipment T, and displays a confirmation screen on the operation terminal 20 indicating that the proposed control will be executed (step S22). The system operator confirms the operation plan and performs an operation to approve the proposed command values. In response to the operation performed by the system operator, the operation terminal 20 notifies the monitoring and control device 10 of information indicating that the execution of the control based on the operation plan has been approved. The execution unit 106 of the monitoring and control device 10 executes the control of the monitored and controlled equipment T by performing an operation in accordance with the operation plan (step S23).

[0054] As described above, the monitoring and control system 1 of this embodiment comprises a model generation unit 103, a determination unit 104, a proposal unit 105, and an execution unit 106. The model generation unit 103 generates an operation model for estimating operation for the monitored target by learning operation performance data that shows the correspondence between the state of the monitored target and the control based on past operating performance for the monitored target. The determination unit 104 determines the trend of the monitored and controlled equipment T based on state information indicating the state of the monitored and controlled equipment T and the operation model. The proposal unit 105 proposes control for the monitored and controlled equipment T based on the determination result by the determination unit 104 and the operation model. The execution unit 106 executes control for the monitored and controlled equipment T according to the trend of the monitored and controlled equipment T. As a result, the monitoring and control system 1 of this embodiment can execute control for the monitored and controlled equipment T according to the trend of the monitored and controlled equipment T, thereby reducing the burden on the operator.

[0055] Alternatively, the monitoring and control system 1, monitoring and control device 10, operating terminal 20, and wide-area power supply and demand adjustment device 100 shown in Figure 1 may be implemented by recording a program for realizing their functions on a computer-readable recording medium, loading the program recorded on this recording medium into a computer system, and executing it. The term "computer system" here includes hardware such as the operating system and peripheral devices.

[0056] Furthermore, "computer system" shall also include the homepage provisioning environment (or display environment) if a WWW system is being used. Furthermore, "computer-readable recording media" refers to portable media such as flexible disks, magneto-optical disks, ROMs, and CD-ROMs, as well as storage devices such as hard disks built into computer systems. Moreover, "computer-readable recording media" also includes those that dynamically hold programs for a short period of time, such as communication lines used when transmitting programs over networks such as the Internet or communication lines such as telephone lines, and those that hold programs for a certain period of time, such as volatile memory inside computer systems that act as servers or clients in such cases. In addition, the above-mentioned programs may be for the purpose of realizing some of the functions described above, and may also be able to realize the above-mentioned functions in combination with programs already recorded in the computer system.

[0057] The configurations shown in the embodiments described above are merely examples of the content of this disclosure and can be combined with other known technologies, and parts of the configuration can be omitted or modified without departing from the gist of this disclosure.

[0058] For example, in the above embodiment, operations may be carried out using a digital twin. A digital twin is a system that acquires information about a power grid in the real world and reproduces the environment of that power grid in cyberspace. For example, the proposal unit 105 of the monitoring and control device 10 performs operations corresponding to the proposed content in the digital twin before making an operational proposal. The proposal unit 105 notifies the operation terminal 20 of the execution results of the proposed content performed in the digital twin, along with the operational proposal. This makes it possible to present the system operator with a prediction of the results of the control corresponding to the operational proposal, and enables the system operator to decide on control that takes the predicted results into consideration.

[0059] Furthermore, in the above embodiment, the monitored and controlled device T is assumed to be electrical equipment installed in the power system, such as power generation equipment, but it is not limited to this. It may also be equipment in various plants other than the power system, or other devices. Alternatively, the monitored and controlled device T may be electrical equipment of a consumer that consumes electricity, such as air conditioning equipment or elevators. In addition to equipment, natural elements such as rivers may also be monitored, and there are no limitations on the monitored element as long as time-series data sensing the state of the monitored element can be collected. [Explanation of symbols]

[0060] 1. Monitoring and Control System 10 Monitoring and Control Device 101 Communications Department 102 Acquisition Department 103 Model Generation Unit 104 Judgment section 105 Proposal Department 106 Execution Unit 20 Operating terminals 100 Wide-area power supply and demand adjustment device

Claims

1. A model generation unit generates a first operational model for estimating the trends of the monitored target and a second operational model for estimating the control of the monitored target by learning operational performance data that shows the correspondence between the state of the monitored target and the control based on past operating performance of the monitored target. A determination unit that determines the trend of the monitored target based on state information indicating the state of the monitored target and the first operational model, Based on the determination result by the determination unit and the second operation model, a proposal unit proposes a control for the monitored target, An execution unit that performs control over the monitored target in accordance with the trends of the monitored target during a period when the operator is not performing control over the monitored target, A monitoring and control device equipped with the following features.

2. The determination unit determines whether or not the monitored object shows a tendency to exhibit abnormalities. The monitoring and control device according to claim 1.

3. The execution unit performs control over the monitored target during a period when the monitored target is controlled by fewer operators than usual. The monitoring and control device according to claim 1.

4. The execution unit, in response to the determination unit determining that the monitored target tends to show abnormalities, executes control over the monitored target during the period when the operator's control over the monitored target is interrupted. The monitoring and control device according to claim 1.

5. The execution unit executes control over the monitored target in accordance with the control over the monitored target proposed by the proposal unit. The monitoring and control device according to claim 1.

6. The monitoring and control device according to claim 1, A wide-area power supply and demand adjustment device is connected to the aforementioned monitoring and control device in a communicative manner and transmits supply and demand data indicating the power supply and demand situation to the aforementioned monitoring and control device, Equipped with, The model generation unit generates the operational model by training it with the operational performance data, which includes the supply and demand data. Monitoring and control system.

7. The monitoring control device is equipped with an operation terminal that transmits an operation signal to the monitoring control device for operating the monitoring control device, The proposal unit causes the operation terminal to display a screen showing an operational proposal that proposes control for the monitored target. The monitoring and control system according to claim 6.

8. A monitoring and control method performed by a computer, which is a monitoring and control device, The model generation unit generates a first operational model that estimates the trends of the monitored target and a second operational model that estimates the control for the monitored target by learning operational performance data that shows the correspondence between the state of the monitored target and the control based on past operating performance of the monitored target. The determination unit determines the trend of the monitored object based on the status information indicating the state of the monitored object and the first operation model. The proposal unit proposes control for the monitored object based on the determination result by the determination unit and the second operation model. The execution unit executes control over the monitored target in accordance with the trends of the monitored target during periods when the operator is not performing control over the monitored target. Monitoring and control method.

9. The computer, which is a monitoring and control device, A first operational model that estimates the trends of the monitored target and a second operational model that estimates the control for the monitored target are generated by training operational performance data that shows the correspondence between the state of the monitored target and the control based on past operating performance of the monitored target. Based on the status information indicating the state of the monitored target and the first operational model, the trend of the monitored target is determined. Based on the determination result and the second operational model, the system proposes a control for the monitored target. During periods when the operator is not taking control over the monitored target, the operator will initiate control over the monitored target according to its tendencies. program.

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