Hydropower plant auxiliary power system operation risk management and control method and system

Abstract

The application provides a hydropower plant auxiliary power system operation risk management and control method and system. The method comprises the following steps: collecting the contact state, body position and grounding switch state of the switch device in the hydropower plant auxiliary power system, and the bus electrical parameter and transformer operation parameter in real time; determining the overall operation state of the switch device, bus and transformer based on the collected information and performing visual marking; performing dynamic risk assessment on important power load according to the unit operation condition of the hydropower plant, the multi-path power supply configuration condition and the standby condition, and generating a graded risk identification; in response to monitoring that the switch device trips abnormally, triggering the risk level reevaluation of the corresponding load automatically, and performing highlight display and alarm information pushing in the monitoring list. The method can realize real-time automatic alarm and closed-loop disposal of abnormal events, significantly shorten the accident response time and reduce the unplanned shutdown risk.

Description

Technical Field

[0001] This application relates to the field of power consumption monitoring technology for hydropower plants, and in particular to a method and system for risk management and control of the power consumption system of a hydropower plant. Background Technology

[0002] Currently, hydropower plants, as the core hub of the clean energy system, have their power supply systems whose safety and stability directly affect the overall reliability of the power grid. With the development of intelligent operation and maintenance technology, existing monitoring systems, through the collaborative operation of computer platforms, sensor networks, and logic control units, have constructed a monitoring architecture for 400V busbars, incoming lines, and load switches. Specifically, this system covers the entire process from acquiring contact opening and closing status data to determining the switch's position, including key aspects such as switch status display and basic electrical quantity monitoring, aiming to ensure the continuous operation of the unit's auxiliary equipment.

[0003] However, the monitoring solutions in related technologies directly adopt an isolated status point display mode, lacking a logical judgment mechanism based on multi-source parameter fusion. This results in an inability to intuitively present the overall operating status of equipment, such as operation, hot standby, or maintenance. Due to the lack of automatic identification and risk classification models for critical load tripping events, anomaly detection heavily relies on manual inspections, often only responding after the incident has escalated. This fragmented monitoring information and lack of decision support significantly prolongs fault handling time and increases the risk of unplanned unit outages and secondary accidents. Summary of the Invention

[0004] This application aims to at least partially address one of the technical problems in the related art.

[0005] Therefore, the first objective of this application is to propose a method for risk management and control of the power supply system of a hydropower plant.

[0006] The second objective of this application is to propose a risk management and control system for the operation of a hydropower plant's power supply system.

[0007] The third objective of this application is to provide a computer-readable storage medium.

[0008] To achieve the above objectives, the first aspect of this application is to propose a method for risk management and control of the power supply system of a hydropower plant, comprising the following steps:

[0009] Real-time acquisition of contact status, body position, and grounding switch status of switchgear in the power system of hydropower plants, as well as bus electrical parameters and transformer operating parameters; Based on the logical combination relationship of the contact state, the body position, and the grounding switch state, the overall operating status of the switching equipment, busbar, and transformer is determined and visually labeled. Based on the operating conditions of hydropower plants, the configuration of multiple power sources, and the availability of backup power, dynamic risk assessments are conducted on important power loads, and graded risk labels are generated. In response to the detection of abnormal tripping of switching equipment, the risk level of the corresponding load is automatically reassessed, and the load is highlighted in the monitoring list and alarm information is pushed.

[0010] To achieve the above objectives, a second aspect of this application also proposes a risk management and control system for the operation of a hydropower plant's power supply system, comprising the following modules: The data acquisition module is used to collect in real time the contact status, body position, and grounding switch status of the switchgear in the power system of the hydropower plant, as well as the electrical parameters of the busbar and the operating parameters of the transformer. The determination module is used to determine the overall operating status of the switchgear, busbar and transformer and perform visual annotation based on the logical combination relationship of the contact status, the body position and the grounding switch status; The assessment module is used to conduct dynamic risk assessments of important power loads and generate graded risk labels based on the operating conditions of the hydropower plant's units, the configuration of multiple power sources, and the standby conditions. The reassessment module is used to respond to the detection of abnormal tripping of switching equipment, automatically trigger the risk level reassessment of the corresponding load, and perform highlighting and alarm information push in the monitoring list.

[0011] To achieve the above objectives, a third aspect of this application also provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the hydropower plant power system operation risk management method as described in any one of the first aspects above.

[0012] To achieve the above objectives, the fourth aspect of this application also proposes a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for risk management of the operation of the power system of a hydropower plant as described in any of the first aspects above.

[0013] The technical solutions provided by the embodiments of this application bring at least the following beneficial effects: This application realizes the automatic determination and intuitive display of the overall operating status of the equipment through the logical fusion of multi-source data, eliminating blind spots in status cognition; combined with the dynamic risk classification of important loads and the automatic alarm mechanism for anomalies, the accident response time is shortened from hours to minutes, significantly improving the real-time performance and accuracy of risk management of the plant power system.

[0014] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0015] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart illustrating a method for managing operational risks of a hydropower plant's power supply system, as proposed in an embodiment of this application. Figure 2 This is a schematic diagram of the structure of a hydropower plant power system operation risk management system proposed in an embodiment of this application. Detailed Implementation

[0016] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0017] The following description, with reference to the accompanying drawings, illustrates a method and system for managing operational risks of a hydroelectric power plant's auxiliary power system, as proposed in an embodiment of this application.

[0018] Example 1 Figure 1 This is a flowchart of a method for managing operational risks of a hydropower plant's power supply system, as proposed in an embodiment of this application. Figure 1 As shown, the method includes the following steps: Step S101: Real-time acquisition of contact status, body position, and grounding switch status of switchgear in the power supply system of the hydropower plant, as well as bus electrical parameters and transformer operating parameters.

[0019] Specifically, this step aims to build a data perception foundation for risk management and control of plant power systems. Its core lies in the synchronous and real-time acquisition of multi-source heterogeneous state variables and electrical operating parameters within the system.

[0020] Specifically, the data acquisition targets key nodes of the plant power system, including switchgear, busbars, and transformers. The collected data extends beyond contact states characterizing circuit continuity to include the physical location of equipment reflecting its reliability and the status of grounding switches ensuring maintenance safety. It also covers busbar electrical parameters and transformer operating parameters characterizing power quality and equipment health. By establishing a unified data acquisition mechanism, isolated signals from different monitoring points are integrated into a raw dataset reflecting the overall system, providing complete and real-time input for subsequent logical decisions and risk assessments.

[0021] As a specific implementation method, the collected switchgear body position may include the connected position, test position or disconnected position, the bus electrical parameters may include the three-phase voltage and current values, and the transformer operating parameters may involve the winding temperature value and the operating status of the cooling fan. These data together constitute a comprehensive perception of the operating conditions of the plant power system.

[0022] Therefore, by performing this data acquisition step, the problems of fragmented monitoring information and missing key parameters in existing technologies can be fundamentally solved, ensuring that subsequent status judgment and risk classification are based on comprehensive and objective real-time data. This effectively eliminates the risk of misjudgment caused by data blind spots and lays a solid data foundation for improving the real-time performance and accuracy of anomaly detection in plant power systems.

[0023] Step S102: Based on the logical combination relationship of contact status, body position and grounding switch status, determine the overall operating status of the switchgear, busbar and transformer and perform visual annotation.

[0024] Specifically, based on the multi-dimensional logical combination relationship of contact status, body position, and grounding switch status, the overall operating status of switchgear, busbars, and transformers in the plant power system is automatically determined and visualized, aiming to solve the cognitive blind spot problem caused by fragmented status information in traditional monitoring. This step integrates isolated physical quantity measurement points into macroscopic status quantities that characterize the functional attributes of the equipment by constructing a pre-set logical rule base, thereby achieving accurate identification of the equipment in four overall operating states: running, hot standby, cold standby, or maintenance.

[0025] In the specific implementation process, the system performs Boolean logic operations to deduce the comprehensive operating conditions of the equipment based on the opening and closing signals of the switch contacts, the mechanical position signals of the switch body in the connected, test, or disconnected positions, and the opening and closing status signals of the grounding switch.

[0026] As one possible implementation, when the switch contacts are detected to be in the closed state, the switch body is in the connected position, and the grounding switch is in the open state, the switchgear is determined to be in operation and is visually marked with corresponding colors. If the contacts are open but the switch body is still in the connected position and the grounding switch is open, it is determined to be in hot standby mode. If the switch body is in the test position or disconnected position and the grounding switch is open, it is determined to be in cold standby mode. If the switch body is in the test position or disconnected position and the grounding switch is closed, it is determined to be in maintenance mode. For busbars and transformers, their overall operating status is also logically mapped based on the above determination results of the associated incoming line switches, tie switches, or high and low voltage side switches, and their operating or de-energized status is intuitively displayed on the monitoring interface with different color codes. At the same time, key parameters such as voltage, current, or temperature can be displayed in conjunction, forming a complete view from microscopic signals to macroscopic status.

[0027] Therefore, this step, through the logical fusion and automatic discrimination of multi-source status parameters, eliminates the subjective errors and lags of manual comprehensive judgment, realizes the real-time, intuitive and standardized display of the overall operating status of the equipment, significantly improves the efficiency and accuracy of operation and maintenance personnel's perception of the operating status of the plant power system, and provides a reliable status data foundation for subsequent risk assessment and anomaly handling.

[0028] Step S103: Based on the operating conditions of the hydropower plant's generating units, the configuration of multiple power sources, and the standby conditions, conduct a dynamic risk assessment of important power loads and generate graded risk labels.

[0029] Specifically, this step aims to address the shortcomings in risk identification and decision support for critical load operations in existing technologies. Its core lies in constructing a dynamic risk assessment mechanism based on multi-parameter coupling. Specifically, this method quantitatively assesses the real-time operational risks of critical loads by comprehensively analyzing multiple factors, including the current operating conditions of the generating unit, the configuration status of multiple power sources affecting the same critical load, and whether effective backup conditions can be formed between power supply circuits. During this process, the system maps the assessment results to different levels of risk labels based on a preset risk discrimination logic, thereby achieving a graded representation of the load's power supply reliability. This dynamic assessment does not rely on a single state variable but rather adaptively adjusts based on real-time changes in the system topology and operating environment, ensuring the accuracy and timeliness of risk assessment.

[0030] As a specific implementation method, the system can determine the availability of backup power based on the different operating conditions of the unit, such as operation, standby, or maintenance, combined with the contact status and body position of the multi-power switch. The risk is then divided into four levels: high, medium, low, and acceptable. The risk is visualized using four colors: red, orange, yellow, and blue as risk indicators. High risk corresponds to a tripping state with no effective backup power, while acceptable risk corresponds to a state of normal dual-power supply or stable operation of a single power supply.

[0031] Therefore, by implementing the above-mentioned dynamic risk assessment and classification identification steps, the abstract system operating status can be transformed into intuitive risk level information, enabling maintenance personnel to quickly identify key hidden dangers and rationally allocate resources for handling based on risk priority. This not only overcomes the decision-making lag caused by the unclear risk levels in traditional monitoring methods, but also significantly improves the plant power system's early warning capability and proactive defense level against potential faults, ensuring the power supply safety of important loads under complex operating conditions.

[0032] Step S104: In response to the detection of an abnormal tripping of the switching equipment, the risk level of the corresponding load is automatically reassessed, and the load is highlighted in the monitoring list and an alarm message is pushed.

[0033] Specifically, this step aims to establish a dynamic linkage mechanism between abnormal events and risk management strategies. By capturing unexpected tripping signals from switching equipment in real time, it immediately initiates a risk reassessment process for the affected load. Its core principle lies in breaking the limitations of static risk grading, using switching action events as key variables in risk evolution, and recalculating the risk level of the load under the current operating conditions according to preset logical rules, thereby achieving dynamic updates of risk identification. Based on this, the system performs visual enhancement processing on the abnormal entry in the monitoring list of the human-machine interface, making it stand out significantly among numerous entries by changing the background color or adding a highlight, ensuring that maintenance personnel can locate the fault point immediately. Simultaneously, the system generates detailed alarm information including the faulty equipment identification, tripping time, and the risk level after reassessment, and sends it to the monitoring terminal or mobile maintenance equipment via a message push mechanism, forming a closed-loop response from perception and analysis to notification.

[0034] As one possible implementation, when a switch of an important electrical load trips, the corresponding switch number and name in the list can be highlighted with a red background. The risk level will automatically increase and be reordered to the front of the list. At the same time, detailed alarm content will be reported in the alarm information column, and the opening and closing and fault signals will be reported via messages. The risk level can be divided into four levels: red, orange, yellow, and blue, based on the unit's operating status and the conditions of multiple power supply backup.

[0035] Therefore, this step significantly improves the real-time performance and accuracy of fault response through the linkage mechanism of risk reassessment triggered by abnormal events and visual alarms, shortening the time for accident detection and handling from hours to minutes, effectively reducing the risk of unplanned unit shutdowns caused by missed detections or delayed responses, assisting maintenance personnel in prioritizing the handling of high-risk hazards, and optimizing the allocation efficiency of emergency resources.

[0036] Example 2 Based on the above embodiments, this embodiment provides a detailed description of the specific implementation of "real-time acquisition of contact status, body position and grounding switch status of switchgear in the plant power system, as well as bus electrical parameters and transformer operating parameters" in step S101.

[0037] In this embodiment, the system synchronously acquires the multi-source status signals of the incoming line switches and tie switches of the 400V plant power system's section a and section b busbars through the intelligent analysis application platform interface.

[0038] Specifically, for acquiring the contact opening / closing status and body position signals of the switchgear, the input sources are the digital signals output by the switchgear body sensors and the raw data from the position encoder inside the switch mechanism box. The processing actions include reading the digital signals to identify whether the contacts are in the closed or open state, and parsing the position encoder data to determine whether the physical position of the switch body is in the connected position, test position, or open position. Then, the contact opening / closing status and the physical position of the switch body are timestamped to eliminate timing inconsistencies caused by communication delays. The output result is a raw data stream of switch status with a unified timestamp, ensuring the timing consistency of the status determination.

[0039] Furthermore, the system collects the opening and closing status signals of the grounding switch in real time as input, and outputs Boolean signals for judging the grounding status of the equipment after logical mapping processing. Regarding transformer operating parameter acquisition, the input sources are feedback signals from temperature sensors installed on the transformer body and the cooling fan control circuit. The processing involves real-time reading of the transformer body temperature and acquisition of the cooling fan operating status signals, with the output being structured data containing real-time temperature values ​​and fan start / stop status. For bus electrical parameter acquisition, the input sources are analog signals from the secondary side of the bus voltage transformer and current transformer. The processing involves high-speed sampling and calculation of the instantaneous values ​​of the three-phase voltage and three-phase current of the bus, with the output being a sequence of analog data reflecting the real-time electrical characteristics of the bus.

[0040] Finally, all the preprocessed state data and electrical analog data are integrated to form a multi-source real-time dataset containing equipment state data and electrical analog data. This dataset serves as the sole data input source for the logical determination of the overall operating status of the equipment in the subsequent step S102, realizing a complete flow loop from the bottom-level sensor signals to the upper-level logical judgment data.

[0041] Therefore, this implementation method effectively eliminates the state judgment error caused by communication delay by synchronously acquiring multi-source data and processing the timing. It ensures the strict consistency of the switch contact state, body position and grounding state in the time dimension, providing a highly reliable data foundation for the subsequent accurate determination of the four overall states of equipment operation, hot standby, cold standby and maintenance, and significantly improving the response speed and judgment accuracy of the risk management system.

[0042] Example 3 Based on the above embodiments, this embodiment provides a detailed description of the specific implementation of step S102, "determining the overall operating status of the switchgear, busbar, and transformer and visually annotating it".

[0043] In this embodiment, for the determination and visualization of the overall operating status of the switchgear, the system first obtains input sources from the real-time data stream of the plant power monitoring network, specifically including the opening and closing signals of the switch contacts, the mechanical position signals of the switch body in the connected, test, or disconnected positions, and the opening and closing status signals of the grounding switch. The processing actions perform parallel comparison and logical operations on the above-mentioned multi-source status data based on a preset logical combination rule base.

[0044] Specifically, when the logic judgment module detects that the input data meets the combined conditions of the contact state being closed, the body position being connected, and the grounding switch state being open, it determines the overall operating status of the switchgear to be in operation and generates a corresponding red visual indicator command. When it detects that the contact state is open, the body position is connected, and the grounding switch state is open, it determines the overall operating status to be in hot standby mode. When it detects that the contact state is open, the body position is in the test or disconnected position, and the grounding switch state is open, it determines the overall operating status to be in cold standby mode. When it detects that the contact state is open, the body position is in the test or disconnected position, and the grounding switch state is closed, it determines the overall operating status to be in maintenance mode and generates a corresponding green visual indicator command. The output result is equipment status data with clear status attribute labels and color codes. This data is directly mapped to the switch elements on the monitoring interface, realizing the red highlighting of the operating status or the green indicator of the maintenance status, thereby completing the transformation from the original discrete signal to an intuitive overall status perception.

[0045] Therefore, this implementation method eliminates the cognitive blind spots caused by monitoring a single status point by integrating the status information of the contact, the body position, and the grounding switch. It realizes automatic and accurate identification and intuitive color differentiation of four statuses: equipment operation, hot standby, cold standby, and maintenance. This significantly reduces the error of manual judgment by operation and maintenance personnel and improves the real-time performance and reliability of the plant power system status monitoring.

[0046] In this embodiment, the specific implementation process for determining and visualizing the overall operating status of the busbar equipment is as follows: The system first collects the busbar topology association data as the input source in real time, that is, it obtains the real-time status information of all incoming switches and tie switches electrically connected to the busbar from the multi-source data acquisition unit. This information includes the contact opening and closing status, body position and grounding switch status of each switch.

[0047] Next, the processing action executes a logical fusion judgment. The system calls the preset state judgment rule library and first calculates the overall operating state of each incoming switch and tie switch based on the aforementioned triple state parameters of the switchgear. The judgment result is one of four states: running, hot standby, cold standby, or maintenance. Subsequently, the system performs a traversal logical verification of the overall operating state of all incoming switches and tie switches connected to the busbar. If any switch in the judgment result is in the running state, the logic deduces that the busbar is in a live condition and the overall operating state of the busbar is judged as running. Conversely, if the overall operating state of all connected incoming switches and tie switches is not running, that is, all power supply side switches are in the open, test, disconnect, or grounded state, the overall operating state of the busbar is judged as de-energized.

[0048] Finally, in the output stage, the system drives differentiated rendering of the monitoring interface based on the judgment conclusion: when the busbar is determined to be in operation, the corresponding busbar graphic element on the monitoring interface is marked in red, and the collected three-phase voltage and three-phase current values ​​are refreshed and displayed in real time above the busbar graphic, realizing the spatial coupling display of key electrical parameters and equipment logical status; when the busbar is determined to be in a power outage state, the corresponding busbar graphic element on the monitoring interface automatically switches to green to intuitively remind maintenance personnel that the busbar currently has no voltage. Through the closed-loop process of input acquisition, logical judgment execution to visual output, the automatic identification and intuitive presentation of the busbar's operating status are realized.

[0049] Therefore, this implementation method dynamically determines the busbar operating condition by logically integrating the incoming line and tie switch status, eliminating the blind spot of manually inferring the busbar energization status based on experience. At the same time, it associates the three-phase voltage and current data with the status identifier space, which significantly improves the accuracy and response speed of operators' perception of the topology status of the plant power system.

[0050] In this embodiment, for the determination and visualization of the overall operating status of the transformer equipment, the system first obtains input information from the multi-source data acquisition unit, specifically including the real-time contact opening and closing status of the high-voltage side switch and the low-voltage side switch of the transformer, the position of the switch body and the status of the grounding switch, and at the same time, it collects the real-time temperature value of the transformer body and the start and stop operation signals of the cooling fan.

[0051] Subsequently, the processing actions are executed based on preset logical combination rules. The system calls the state logic determination engine to independently determine the state of the high-voltage side switch and the low-voltage side switch. If a switch on one side meets the conditions of closed contacts, the switch body being in the connected position, and the grounding switch being open, then that switch is determined to be in the operating state. On this basis, the system further executes the fusion judgment logic of the overall transformer state: if and only if the overall operating state of the high-voltage side switch is determined to be in the operating state, and the overall operating state of the low-voltage side switch is also determined to be in the operating state, the logic engine determines the overall operating state of the transformer to be in the operating state; otherwise, if the overall operating state of either the high-voltage side switch or the low-voltage side switch is determined to be in the non-operating state, such as being in hot standby, cold standby, or maintenance state, then the overall operating state of the transformer is determined to be in the power outage state.

[0052] Finally, in the output stage, the system drives the visual interactive interface to perform differentiated rendering based on the judgment conclusion: for transformers judged to be in operation, the system renders their status indicator in red in the topology diagram or monitoring list, and dynamically refreshes and displays their real-time temperature value and the text description of the current operating status of the cooling fan in the annotation area next to the device element; for transformers judged to be in a power outage state, the system renders their status indicator in green to intuitively distinguish whether the equipment is energized or not. Through the closed-loop process of input acquisition, logical fusion judgment to differentiated visual output, the system achieves automated and accurate identification and intuitive display of transformer operating status.

[0053] Therefore, this implementation method eliminates the blind spots of single parameter monitoring by logically fusing the switch states on both sides of the transformer, ensuring the accuracy of transformer status recognition. At the same time, combined with the side-by-side display of temperature and fan status, it provides maintenance personnel with a comprehensive and intuitive view of equipment health, effectively reducing the risk of misjudgment.

[0054] Example 4 Based on the above embodiments, this embodiment provides a detailed description of the specific implementation of step S103, which involves "conducting dynamic risk assessments on important power loads and generating graded risk labels based on the operating conditions of the hydropower plant's generating units, the configuration of multiple power sources, and the standby conditions."

[0055] In one embodiment of this application, based on the operating conditions of the hydropower plant's generating units, the configuration of multiple power sources, and the standby conditions, a dynamic risk assessment is performed on important electrical loads, and a graded risk label is generated. This includes: constructing a monitoring list of important electrical loads, which covers important electrical loads that affect the start-up, shutdown, and normal operation of the generating units, as well as their corresponding multiple power source switches; acquiring the current operating status of the generating units in real time, where the operating status includes operating status, standby status, or maintenance status; detecting the contact status and body position of multiple power source switches that affect the same equipment to determine whether multiple power sources can form effective standby conditions; and, in conjunction with real-time alarm information, classifying the operating risk level of important electrical loads into four levels: high risk level, medium risk level, low risk level, and acceptable risk level.

[0056] Specifically, firstly, the system constructs a list of important electrical loads for monitoring as the input basis for data processing. This list pre-enters the names of important electrical loads affecting unit start-up, shutdown, and normal operation, along with their corresponding multi-power switch numbers. For example, the self-use power switches A and B corresponding to the fan power supply of the excitation power cabinet of Unit 1. Next, the processing action acquires the current operating status of the unit in real time. The input source is the operating condition signal issued by the unit monitoring system. The processing logic parses the unit status into three specific modes: operating status, standby status, or maintenance status, and outputs them to the risk assessment module as baseline operating condition parameters.

[0057] Subsequently, the system detects the contact status and body position of multiple power switches affecting the same equipment. The input source is the switch quantity data collected by the on-site intelligent terminal. The processing action analyzes whether multiple power supplies can form effective backup conditions through logical judgment. That is, it determines whether the backup power switch is ready to close and the body is in the connected position when the main power supply fails. The output result is the backup condition validity flag.

[0058] Finally, by combining real-time alarm information, the system performs coupled calculations on the above operating parameters, standby condition flags, and alarm signals to classify the operational risk levels of important power loads into four levels: high risk, medium risk, low risk, and acceptable risk.

[0059] Specifically, when a critical load switch trips and no effective backup power supply is detected, it is classified as a high-risk level and a red indicator signal is generated; when a backup power supply exists but the interconnection switch malfunctions, causing the switching conditions to be unmet, it is classified as a medium-risk level and an orange indicator signal is generated; when the backup power supply is available and the switching logic is valid enough to form backup conditions, it is classified as a low-risk level and a yellow indicator signal is generated; when both power supplies are operating normally or a single power supply is operating stably without alarm information, it is classified as an acceptable risk level and a blue indicator signal is generated. The final output of the risk classification indicator directly drives the color rendering and sorting logic of the corresponding list items in the monitoring interface, achieving intuitive visualization of the risk status.

[0060] Therefore, this implementation method achieves quantitative classification and dynamic updating of the operational risks of critical loads by constructing a multi-dimensional parameter coupled risk discrimination model. It uses a four-color identification system of red, orange, yellow and blue to intuitively distinguish the urgency of risks, enabling operation and maintenance personnel to quickly identify high-risk hazards without backup protection, and significantly improving the accuracy of accident early warning and the pertinence of emergency response.

[0061] Example 5 Based on the above embodiments, this embodiment provides a detailed description of the specific implementation of step S104 above, which involves automatically triggering a risk level reassessment of the corresponding load when an abnormal trip of the switching equipment is detected, and then highlighting and pushing alarm information in the monitoring list.

[0062] In one embodiment of this application, in response to the detection of an abnormal tripping of a switchgear, the risk level of the corresponding load is automatically reassessed, and a highlighting and alarm information push are performed in the monitoring list. This includes: scanning the status changes of each switchgear in real time in the important power load monitoring list; when a target switchgear is detected to change from a closed state to an open state and an abnormal operation command is triggered, it is determined to be an abnormal tripping event; recalculating the operating risk level of the load to which the target switchgear belongs; if the operating risk level increases, automatically adjusting the sorting position of the target switchgear in the list to the front; highlighting the background color of the switch number and name corresponding to the target switchgear in the list as red, and generating detailed alarm text in the alarm information bar that includes switch tripping, overload, undervoltage, or overheating conditions.

[0063] Specifically, in responding to abnormal tripping of switching equipment, the system first scans the status change data of each switching device in real time in the important power load monitoring list. This input includes real-time opening and closing signals of the switch contacts and recorded operation commands. The processing involves comparing the currently detected switch status change from closed to open with preset normal operation commands. If no matching normal operation command is found, it is determined to be an abnormal tripping event. The output is a signal to trigger the risk level reassessment mechanism.

[0064] Then, the system takes the start signal, the unit's operating condition, and the multi-power supply configuration of the load to which the switch belongs as inputs to recalculate the operational risk level. Specifically, based on whether the unit is in operation, standby, or maintenance status, and considering the contact status and body position of the multi-power supply switches on the same equipment, it determines whether the multi-power supply can form effective standby conditions, thereby dynamically classifying the risk level into four levels: high, medium, low, or acceptable. If the calculation result shows that the risk level has increased, the processing action further includes automatically adjusting the sorting position of the load entry in the monitoring list, moving it to the front of the list. The output result is the updated list sorting sequence and the determined new risk level identifier.

[0065] Next, the system receives the updated list data and performs visual highlighting, setting the background color of the cells containing the corresponding abnormally tripped switch's number and name to red. Simultaneously, the system extracts the abnormally tripped switch's number, name, rated current value, downstream connected load motor power, switch location, and real-time measured voltage, current, power, and temperature data as input, encapsulating this data into a standard format message. The processing action involves pushing the encapsulated message to the mobile maintenance terminal via the production intelligent analysis application platform. The message includes opening and closing signals and specific fault signals, such as switch tripping, overload, undervoltage, or overheating, and generates an alarm text containing the aforementioned detailed information in the alarm information bar.

[0066] Ultimately, the output is the alarm message received by the operator's terminal and the continuously highlighted red display on the interface. This highlighted state will continue until the operator confirms the handling and completes the feedback, thus forming a closed-loop management process of perception, alarm, handling and feedback.

[0067] Therefore, this implementation method accurately identifies abnormal trips through real-time status scanning and command comparison, and ensures the priority display of high-risk hazards by combining dynamic risk reassessment and automatic list sorting; the red highlighting and multi-parameter message push mechanism realizes the intuitive presentation of alarm information and cross-platform synchronization, significantly shortens the accident response time, and effectively forms a closed-loop management of operation and maintenance.

[0068] Example 6 This embodiment will describe in detail the complete implementation of the risk management method for the operation of the hydropower plant power system of this application. The method is based on the deployment of a power plant production intelligent analysis application platform and aims to solve the technical problems in the prior art such as fragmented cognition of the status of the power system, lagging anomaly detection, lack of risk classification, and disconnection between key parameters and equipment status, so as to realize the closed-loop management of the whole process from data collection, logical judgment, risk classification to intelligent linkage and disposal.

[0069] In this embodiment, the initial step of the method is the acquisition and preprocessing of multi-source real-time data. The system synchronously accesses various primary equipment signals from the 400V plant power system's A and B busbars via the standard data interface of the intelligent analysis application platform. Specifically, the acquired data dimensions include: digital signals of the contact opening and closing status of incoming line switches, tie switches, and load switches, where the closing status corresponds to logic "1" and the opening status corresponds to logic "0"; position signals output by the switch body position encoder, used to identify whether the switch is in the connected, test, or disconnected physical state; opening and closing status signals of the grounding switch, used to determine whether the equipment is in a safe grounding state; temperature values ​​of the transformer body and the operation and shutdown status signals of the cooling fan; and electrical analog quantities such as the instantaneous values ​​of the three-phase voltage and three-phase current of the busbar. During the data preprocessing stage, the system performs timestamp alignment on the collected multi-source data streams, reads the digital signals output by the sensors on the switchgear body and parses the position encoder data in the switch mechanism box, synchronizes the contact opening and closing status with the physical position of the switch body at the millisecond level, eliminates time-inconsistent data caused by communication delays or network jitter, generates a raw data stream of switch status with a unified timestamp, and filters out invalid transition points caused by communication anomalies to ensure the data reliability of subsequent logical judgments.

[0070] Furthermore, based on the pre-processed high-reliability data, this embodiment performs logical fusion judgment and visual annotation of the overall operating status of the equipment. For switchgear, the system has a built-in status judgment rule library to detect the logical combination relationship of contact status, body position, and grounding switch status in real time. Specifically, when it is detected that the contact status of a switch is closed, the body position is connected, and the grounding switch status is open, the system determines the overall operating status of the switch as "operating" and marks it in red on the monitoring interface; when it is detected that the contact status is open, the body position is connected, and the grounding switch status is open, it is determined as "hot standby"; when it is detected that the contact status is open, the body position is in the test or disconnected position, and the grounding switch status is open, it is determined as "cold standby"; when it is detected that the contact status is open, the body position is in the test or disconnected position, and the grounding switch status is closed, it is determined as "maintenance" and marked in green on the interface. This multi-dimensional logical fusion judgment mechanism breaks through the limitations of traditional methods that only display isolated contact states, and achieves a leap from "state point display" to "state surface cognition".

[0071] For determining the status of busbar equipment, this embodiment uses the associated switch status derivation method. The system monitors in real time the overall operating status of all incoming switches and tie switches connected to a specific busbar (such as the 400V Unit 1 self-use power section a busbar). If the overall operating status of any incoming switch or tie switch is determined to be "operating", the overall operating status of the busbar is determined to be "operating", and the collected three-phase voltage and current values ​​are displayed in real time above the busbar graphic on the monitoring interface so that maintenance personnel can intuitively grasp the electrical parameters; if the overall operating status of all connected incoming switches and tie switches is not "operating" (i.e., all are hot standby, cold standby, under maintenance, or faulty), the overall operating status of the busbar is determined to be "power outage" and marked in green. For transformer equipment, the system monitors the overall operating status of its high-voltage and low-voltage side switches in real time. If both switches are determined to be in an "operating" state, the transformer's overall operating status is also determined to be "operating" and marked in red. Simultaneously, the real-time temperature value and cooling fan operating status (e.g., "Fan Running" or "Fan Stopped") are displayed next to the equipment graphic. If either switch is not in an "operating" state, the transformer's overall operating status is determined to be "power outage" and marked in green. This logic achieves spatial coupling between key parameters and equipment logical status, enhancing the objectivity of status judgment.

[0072] Building upon the visualization of the entire system's status, this embodiment further constructs a dynamic risk assessment and hierarchical monitoring mechanism for critical power loads. The system constructs a monitoring list of critical power loads on the intelligent analysis application platform, as shown in Table 1 below: Table 1

[0073] This list covers power supply circuits for critical facilities such as drainage pumps and floodgates that affect unit start-up and shutdown, normal unit operation, and the risk of flooding of the plant. Each item in the list includes fields such as serial number, load name, operational risk level, switch number, switch position, load level, operating status and condition, and alarm information. The system acquires the current operating status of the unit in real time (operating, standby, or under maintenance), detects the contact status and body position of multiple power switches affecting the same equipment (such as dual-power supply fan power supply 1 and power supply 2), and dynamically determines whether multiple power supplies can form effective backup conditions based on real-time alarm information. This classifies the operational risk level of important power loads into four levels: high risk, medium risk, low risk, and acceptable risk.

[0074] Specifically, the risk level determination logic is as follows: When a critical load switch trips and the logic determines that no effective backup power supply is available (e.g., both power supplies are tripped or the backup power supply switch is under maintenance), the system determines the operational risk level as high risk and indicates it in red; when a backup power supply exists but the tie switch is abnormal or in a non-operating state, causing the switching conditions to be unmet, the operational risk level is determined as medium risk and indicates it in orange; when the backup power supply is available and the switching logic is valid, forming an effective backup condition, the operational risk level is determined as low risk and indicates it in yellow; when both power supplies are operating normally or a single power supply is operating stably without any alarm information, the operational risk level is determined as acceptable risk and indicates it in blue. Taking the excitation power cabinet of Unit 1 as an example, if the fan power supply 1 (4p-08 switch of Unit 1 self-use power section a) trips, the system immediately detects the status of the fan power supply 2 (3p-12 switch of Unit 1 self-use power section b). If power supply 2 is in operation and the tie switch is normal, the risk is set to low risk (yellow); if power supply 2 is also in tripped or under maintenance, the risk is directly upgraded to high risk (red).

[0075] When an abnormal tripping event is detected in a switchgear, this embodiment triggers an intelligent linkage response process. The system scans the status changes of each switchgear in real time in the important power load monitoring list. When a switchgear changes from a closed state to an open state without receiving a normal remote or local tripping operation command, it is determined to be an abnormal tripping event. At this time, the system immediately recalculates the operating risk level of the load to which the switch belongs. If the risk level increases, the system automatically adjusts the order of the entry in the list to the front to ensure that high-risk hazards are displayed first. At the same time, the system sets the background color of the corresponding switch number and name in the list to red for highlighting, regardless of its original risk level, a red warning is given at the moment of tripping. In the alarm information bar, the system generates detailed alarm text containing information on switch tripping, overload, undervoltage, or overheating, and extracts the switch number, name, rated current value, downstream connected power load motor power, switch body location, and measured voltage, current, power, and temperature data, and encapsulates this data into a standard format message.

[0076] Furthermore, this embodiment also establishes a unified monitoring and closed-loop handling mechanism for the switching status of the entire system. In addition to the list of important loads, the system also establishes a unified monitoring list of all switches in the 400V plant power system on the intelligent analysis application platform, as shown in Table 2 below: Table 2

[0077] This list covers the incoming line switches (such as switches 4111 and 4112), tie switches (such as switch 4113), and all load switches for the 400V Unit 1's self-use power sections A and B, including both unit-owned and public power switches. The list details the load name, switch number, real-time contact status (red for closed, green for open), switch position (connected, test, disconnected), load level (e.g., rated current 630A, motor power 110kW), operating status and conditions (measured voltage, current, power, and temperature), and alarm information for each switch. When any switch in the list trips, its number and name are automatically displayed in red on the list, and the switch's opening, closing, and fault signals are pushed to the mobile maintenance terminal and the production intelligent analysis application platform via messages. For the power supply circuits of drainage pumps that involve the risk of flooding of the factory buildings and the power supply circuits of gates that affect flood discharge, the system is configured with a special monitoring strategy. When an abnormal trip of such switching equipment is detected, a special alarm process with higher priority than ordinary loads is triggered. The alarm is displayed in the monitoring list in a flashing manner and an emergency message is sent to the flood control command system at the same time to ensure rapid response under extreme conditions.

[0078] Ultimately, in the alarm handling phase, the system supports closed-loop management of "perception-alarm-handling-feedback". The monitoring interface remains highlighted with a red background until the operator confirms the handling and completes the feedback. The operator receives push notifications of circuit breaker opening / closing signals and fault signal messages through the mobile maintenance APP, verifies them on-site, and enters the handling results into the system. The system then updates the equipment status and risk level, removes the highlighted display, and records the entire event process.

[0079] Therefore, through the above implementation methods, this embodiment not only achieves comprehensive and intuitive visualization of the status of plant power system equipment, shortening the accident response time from hours to minutes, but also optimizes the allocation of operation and maintenance resources through a risk classification and control mechanism, significantly reducing the risk of unplanned outages and improving the safe operation level and intelligent operation and maintenance capabilities of the hydropower plant's power system.

[0080] In summary, the hydropower plant power system operation risk management method of this application realizes automatic judgment and intuitive display of the overall operating status of equipment through multi-source data logic fusion, eliminating blind spots in status cognition; combined with the dynamic risk classification of important loads and the automatic alarm mechanism for anomalies, the accident response time is shortened from hours to minutes, significantly improving the real-time performance and accuracy of power system risk management.

[0081] To achieve the above embodiments, this application also proposes a risk management and control system for the operation of a hydropower plant's power supply system. Figure 2 This is a schematic diagram of the structure of a hydropower plant power system operation risk management and control system proposed in an embodiment of this application, as shown below. Figure 2 As shown, the system includes: The data acquisition module 100 is used to collect in real time the contact status, body position, and grounding switch status of the switchgear in the power supply system of the hydropower plant, as well as the electrical parameters of the busbar and the operating parameters of the transformer.

[0082] The determination module 200 is used to determine the overall operating status of the switchgear, busbar and transformer and perform visual annotation based on the logical combination relationship of contact status, body position and grounding switch status.

[0083] The assessment module 300 is used to conduct dynamic risk assessments of important power loads and generate graded risk labels based on the operating conditions of the hydropower plant's units, the configuration of multiple power sources, and the standby conditions.

[0084] The reassessment module 400 is used to respond to the detection of abnormal tripping of switching equipment, automatically trigger the risk level reassessment of the corresponding load, and perform highlighting and alarm information push in the monitoring list.

[0085] It should be noted that the explanation of the above-mentioned embodiment of the risk management method for the operation of the power system of a hydropower plant also applies to the system of this embodiment, and will not be repeated here.

[0086] In summary, the hydropower plant power system operation risk management and control system of this application realizes automatic judgment and intuitive display of the overall operating status of equipment through multi-source data logic fusion, eliminating blind spots in status cognition; combined with the dynamic risk classification of important loads and the automatic alarm mechanism for anomalies, the accident response time is shortened from hours to minutes, significantly improving the real-time performance and accuracy of risk management and control of the power system.

[0087] To implement the above embodiments, this application also proposes an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to execute the hydropower plant power system operation risk management method as described in any of the first aspect embodiments above.

[0088] To implement the above embodiments, this application also proposes a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method for risk management of the operation of the power system of a hydropower plant as described in any one of the first aspects of the embodiments above.

[0089] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0090] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0091] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0092] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0093] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0094] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0095] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0096] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for risk management and control of the power supply system of a hydropower plant, characterized in that, Includes the following steps: Real-time acquisition of contact status, body position, and grounding switch status of switchgear in the power system of hydropower plants, as well as bus electrical parameters and transformer operating parameters; Based on the logical combination relationship of the contact state, the body position, and the grounding switch state, the overall operating status of the switching equipment, busbar, and transformer is determined and visually labeled. Based on the operating conditions of hydropower plants, the configuration of multiple power sources, and the availability of backup power, dynamic risk assessments are conducted on important power loads, and graded risk labels are generated. In response to the detection of abnormal tripping of switching equipment, the risk level of the corresponding load is automatically reassessed, and the load is highlighted in the monitoring list and alarm information is pushed.

2. The method according to claim 1, characterized in that, The determination and visualization of the overall operating status of switchgear, busbars, and transformers includes: For switchgear, when the contact status is closed, the body position is connected, and the grounding switch status is open, the overall operating status is determined to be operating and marked in red. When the contact status is detected as open, the body position is connected, and the grounding switch status is open, the overall operating status is determined to be hot standby. When the contact status is detected as open and the body position is in the test position or the disconnected position and the grounding switch status is open, the overall operating status is determined to be cold standby. When the contact status is detected as open, the body position is in the test position or the disconnected position, and the grounding switch status is closed, the overall operating status is determined to be under maintenance and marked with green.

3. The method according to claim 1, characterized in that, The determination and visualization of the overall operating status of switchgear, busbars, and transformers includes: For busbar equipment, the overall operating status of all incoming switches and tie switches connected to the busbar is monitored in real time. If the overall operating status of any incoming switch or tie switch is determined to be in operation, the overall operating status of the busbar is determined to be in operation and the three-phase voltage and current values ​​are displayed at the top of the monitoring interface. If the overall operating status of all connected incoming switches and tie switches is not in operation, then the overall operating status of the busbar is determined to be in a power outage state and marked in green.

4. The method according to claim 1, characterized in that, The determination and visualization of the overall operating status of switchgear, busbars, and transformers includes: For transformer equipment, the overall operating status of the high-voltage side switch and the low-voltage side switch of the transformer is monitored in real time. If it is determined that the overall operating status of both the high-voltage side switch and the low-voltage side switch is in operation, the overall operating status of the transformer is determined to be in operation and marked in red. At the same time, the real-time temperature value and the operating status of the cooling fan are displayed next to the equipment. If the overall operating status of either the high-voltage side switch or the low-voltage side switch is not in operation, then the overall operating status of the transformer is determined to be in a power outage state and marked in green.

5. The method according to claim 1, characterized in that, The method involves conducting dynamic risk assessments of critical power loads and generating tiered risk labels based on the operating conditions of hydropower plant units, the configuration of multiple power sources, and backup conditions. This includes: Construct a monitoring list of important power loads, which includes important power loads that affect the start-up, shutdown and normal operation of the units and their corresponding multi-power switches; The current operating status of the unit is acquired in real time, wherein the operating status includes operating status, standby status or maintenance status; Detect the contact status and body position of multiple power switches that affect the same equipment to determine whether multiple power supplies can form an effective backup condition; Based on real-time alarm information, the operational risk levels of important power loads are divided into four levels: high risk, medium risk, low risk, and acceptable risk.

6. The method according to claim 5, characterized in that, The operational risk levels of important electrical loads are divided into four levels: high risk, medium risk, low risk, and acceptable risk. When a critical load switch trips and no effective backup power supply is available, the operational risk level will be classified as high risk and indicated in red. When a backup power supply exists but the communication switch malfunctions, causing the switching conditions to be unmet, the operational risk level will be classified as medium risk and indicated in orange. When the backup power supply is available and the switching logic is established to form backup conditions, the operation risk level is determined to be low risk and indicated in yellow. When dual power supplies are operating normally or a single power supply is operating stably without alarm information, the operational risk level is determined to be an acceptable risk level and indicated in blue.

7. The method according to claim 1, characterized in that, The response to detecting an abnormal tripping of switching equipment automatically triggers a risk level reassessment of the corresponding load, and performs highlighting and alarm information push in the monitoring list, including: The status changes of each switchgear are scanned in real time in the important power load monitoring list. When the target switchgear is detected to change from closed to open and an abnormal operation command is triggered, it is determined to be an abnormal tripping event. The operational risk level of the load to which the target switchgear belongs is recalculated. If the operational risk level increases, the sorting position of the target switchgear in the list is automatically adjusted to the front. The background color of the switch number and name corresponding to the target switch equipment in the list is set to red for highlighting, and a detailed alarm text containing information on switch tripping, overload, undervoltage, or overheating is generated in the alarm information bar.

8. The method according to claim 1, characterized in that, Also includes: A unified monitoring list of all switches in the 400V plant power system is established on the intelligent analysis application platform. The list covers incoming switches, tie switches and load switches of each section, including unit self-use power switches and public power switches. When any switch in the list trips, the switch number and name of that switch are automatically displayed in the list with a red background, and the switch opening, closing and fault signals are reported through messages to achieve centralized and structured monitoring of the switch status of the entire system.

9. A risk management and control system for the operation of a hydropower plant's auxiliary power system, characterized in that, Includes the following modules: The data acquisition module is used to collect in real time the contact status, body position, and grounding switch status of the switchgear in the power system of the hydropower plant, as well as the electrical parameters of the busbar and the operating parameters of the transformer. The determination module is used to determine the overall operating status of the switchgear, busbar and transformer and perform visual annotation based on the logical combination relationship of the contact status, the body position and the grounding switch status; The assessment module is used to conduct dynamic risk assessments of important power loads and generate graded risk labels based on the operating conditions of the hydropower plant's units, the configuration of multiple power sources, and the standby conditions. The reassessment module is used to respond to the detection of abnormal tripping of switching equipment, automatically trigger the risk level reassessment of the corresponding load, and perform highlighting and alarm information push in the monitoring list.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for risk management of the operation of the power system of a hydropower plant as described in any one of claims 1-8.

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