Distributed intelligent scene linkage control system for hydropower station and implementation method thereof

Abstract

The application relates to the technical field of hydropower station control, and discloses a hydropower station distributed intelligent scene linkage control system and an implementation method thereof, which comprises a sensor module, a central control module, a control execution module and a data communication module. A plurality of operation parameters of key position equipment such as a generator set and a water turbine are comprehensively collected in real time through the sensor module, normal power generation, load adjustment, emergency shutdown and other operation scenes are accurately identified through filtering, feature extraction and other operations, scientific linkage control strategies are formulated for different scenes, for example, power and guide vane opening are adjusted as needed during normal power generation, water turbine parameters are coordinated in response to speed changes during load adjustment, and key valves are quickly closed during emergency shutdown, key parameters are scientifically determined through multiple experiments and linear fitting, data is transmitted through reliable communication modes combining wireless and wired modes, efficient operation of the system is ensured, and the safety, stability and power generation efficiency of the hydropower station are improved.

Description

Technical Field

[0001] This invention relates to the field of hydropower station control technology, specifically to a distributed intelligent scene linkage control system for hydropower stations and its implementation method. Background Technology

[0002] Traditional hydropower station control systems have numerous limitations and struggle to meet the complex demands of modern power production. In traditional control systems, the acquisition of operating parameters for key equipment such as generator units and turbines is often incomplete and unreal-time. Parameters from equipment distributed across various critical locations within the hydropower station, such as generator unit speed and power, and turbine flow and pressure, cannot be promptly and accurately fed back to the control center, resulting in a lag in understanding equipment operating status. This hinders the ability to make rapid and accurate decisions in the face of complex and changing operating conditions, severely impacting the hydropower station's power generation efficiency and stability.

[0003] Meanwhile, traditional control systems lack effective scene recognition and linkage control mechanisms. They cannot accurately identify the current operating scenario of the hydropower station, such as normal power generation, load regulation, or emergency shutdown, based on the collected equipment operating parameters. Once an anomaly occurs, the corresponding linkage control measures cannot be activated in a timely manner, which may cause the equipment to be in an unreasonable operating state for a long time, increasing equipment wear and tear and the risk of failure, and may even lead to safety accidents, threatening the normal operation of the hydropower station and the safety of personnel.

[0004] Furthermore, traditional communication methods also have shortcomings in data transmission. It is difficult to achieve stable and efficient data transmission between equipment located at various critical locations within a hydropower station and the central control module, as well as between the equipment at each critical location. This is especially true in large hydropower stations where equipment is widely distributed. Wired communication is limited by cabling and cannot cover all areas, while wireless communication is easily affected by environmental interference, leading to data transmission interruptions or losses, severely impacting the overall performance of the control system. Summary of the Invention

[0005] The purpose of this invention is to provide a distributed intelligent scene linkage control system for hydropower stations and its implementation method, which solves the technical problems mentioned in the background art.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] The implementation method of a distributed intelligent scene linkage control system for hydropower stations includes the following steps:

[0008] Step 1: Information Collection

[0009] The sensor module collects the operating parameters of the corresponding equipment at various key locations in the hydropower station in real time.

[0010] Among them, the key components distributed in the hydropower station include the generator sets and turbines; the operating parameters of each key component include the generator set speed and power, and the turbine flow rate and pressure.

[0011] Step 2, Linkage Control:

[0012] The central control module receives the operating parameters of the corresponding equipment distributed in various key locations of the hydropower station. Then, the central control module performs scene recognition analysis based on these parameters to identify the current operating scene of the hydropower station. After that, the central control module performs linkage control analysis based on the scene recognition analysis results and generates corresponding control commands based on the linkage control analysis results.

[0013] The control commands include adjusting the output power of the generator set, controlling the opening of the turbine guide vanes, and opening and closing the gates.

[0014] Step 3, Control Execution:

[0015] The control execution module generates corresponding control commands through the central control module to operate and process equipment distributed in various key locations of the hydropower station;

[0016] The operation process includes adjusting the output power of the generator set, controlling the opening of the turbine guide vanes, and opening and closing the gates.

[0017] Among them, the sensor module and the control execution module are installed on the equipment at various key locations in the hydropower station;

[0018] As a further aspect of the present invention, the scene recognition and analysis method is as follows:

[0019] Step S.1, Filtering:

[0020] The operating parameters collected by the sensor module at various key locations in the hydropower station are filtered.

[0021] Step S.2, Feature Extraction:

[0022] Extract key features of the equipment corresponding to each key location from the preprocessed operating parameters;

[0023] Step S.3, Scene Classification:

[0024] Based on the results of feature extraction, the current operating scenario of the hydropower station is determined.

[0025] As a further aspect of the present invention, the filtering process is as follows:

[0026] The operating parameters collected from corresponding equipment at various key locations of the hydropower station will be arranged into a parameter sequence {G} according to the time sequence. i，j}, i = 1, 2, ..., n, j = 1, 2, ..., m, where n represents the number of timestamps collected corresponding to the running parameters, and m represents the number of devices corresponding to the key locations;

[0027] It was subsequently passed;

[0028] Calculate the filtered operating parameters G0 of the device corresponding to the j-th key location at the i-th acquisition timestamp. i，j ;

[0029] In the formula, k is the preset sliding window size. t is the index of the sliding window. This is the floor symbol.

[0030] As a further aspect of the present invention, the key features include:

[0031] Speed ​​change rate, power change trend, flow-pressure ratio;

[0032] The method for extracting the rate of change of rotational speed is as follows:

[0033] Within a specified period, the generator set's speed parameters are collected via a sensor module and labeled as Z. e ;

[0034] Subsequently passed: Calculate the rate of change of rotational speed ZB;

[0035] In the formula, T1 is the duration of the specified period. This refers to the time interval between two adjacent data acquisition points of the sensor module.

[0036] The method for extracting power change trends is as follows:

[0037] Within a specified period, the power parameters of the generator set are collected by the sensor module and labeled as P. e e = 1, 2, ..., v, where v represents the number of time points collected within the specified period;

[0038] Subsequently passed: Calculate the power change trend PQ;

[0039] The flow-pressure ratio is extracted as follows:

[0040] Within a specified period, the flow rate and pressure values ​​at the turbine inlet pipe are collected by the sensor module and labeled as L. e and Y e ;

[0041] Subsequently passed: Calculate the flow-pressure ratio LY.

[0042] As a further aspect of the present invention, the method for determining the operating scenario is as follows:

[0043] Step S.3.1, Feature Threshold Extraction:

[0044] Extract the preset speed change rate threshold ZB based on the speed change rate ZB, power change trend PQ, and flow-pressure ratio LY. y Power change trend threshold PQ y Flow-pressure ratio threshold range [LY] y1 LY y2 ]; Among them: LY y1 <LY y2 ;

[0045] Simultaneously extract the speed Z of the motor set. e Power P e The flow rate L of the water turbine e Pressure Y e The corresponding preset speed threshold range [Z] min Z max Power threshold range [P] min P max ], flow threshold range [L min L max ] and pressure threshold range [Y min Y max ];

[0046] Step S.3.2, Feature comparison and judgment:

[0047] First, the speed change rate ZB, power change trend PQ, and flow-pressure ratio LY are compared with the speed change rate threshold ZB. y Power change trend threshold PQ y Flow-pressure ratio threshold range [LY] y1 LY y2 The threshold in ] is compared:

[0048] When |ZB|≤ZB y |PQ|≤PQ y LY y1 ≤LY≤LY y2 If all conditions are met, the hydropower station is determined to be operating under normal power generation conditions.

[0049] Conversely, when |ZB|>ZB y |PQ|>PQ y LY < LY y1 LY>LY y2 If at least one of the comparison conditions is true, then the hydropower station is determined to be in a load regulation scenario.

[0050] Next, based on the motor unit's speed Z... e Power P e The flow rate L of the water turbine e Pressure Y e Respectively with the speed threshold range [Z min Z max Power threshold range [P] min P max ], flow threshold range [L min L max ] and pressure threshold range [Y min Y max Compare;

[0051] Subsequently, the rotational speed Z was extracted. e Not within the speed threshold range [Z min Z max ] Quantity and power P within e Not within the power threshold range [P min P max ] Quantity within, extraction flow rate L e Not within the flow threshold range [L] min L max ] Quantity within, extraction pressure Y e Not within the pressure threshold range [Y] min Y max The quantity within ] is labeled as S. Z S P S L S Y ;

[0052] Then S Z / v、S P / v、S L / v、S Y / v is compared with the corresponding preset quantity threshold SXv:

[0053] If S Z / v>SX v S P / v>SX v S L / v>SX v S Y / v>SX v If at least one of the comparison conditions is true, then the hydropower station is determined to be in an emergency shutdown scenario.

[0054] Among them, Z min ≤Z e ≤Z max Pmin ≤P e ≤P max L min ≤L e ≤L max Y min ≤Y e ≤Y max This indicates that the generator units and turbines in the hydropower station are functioning normally.

[0055] As a further aspect of the present invention, the linkage control analysis method is as follows:

[0056] Step 1: Interlocking control during normal power generation:

[0057] Step M1: When the hydropower station is operating under normal power generation conditions, then:

[0058] Obtain the power demand of the power grid and label it as Px;

[0059] Extract the total power of all generator units corresponding to each key location of the hydropower station and label it as Pz;

[0060] Then, the total power regulation to meet the grid demand is calculated using Pt = Px - Pz;

[0061] Step M2: Then, based on the rated power of each generator set, calculate the power adjustment amount of each generator set.

[0062] The calculation method for power regulation is as follows:

[0063] In the formula, Pt c For the power regulation of each generator set, EP c Let c = 1, 2, ..., w, where w is the total number of generator sets corresponding to each key location in the hydropower station.

[0064] Step M3: Determine the guide vane opening adjustment amount of the water turbine based on the power adjustment amount of the generator set;

[0065] Step M4: Then, generate corresponding control commands for the power adjustment of each generator set and the guide vane opening adjustment of the turbine.

[0066] Step 2: Load Adjustment Scenario Linkage Control

[0067] Step N1: When the hydropower station is operating under a load regulation scenario, the governor parameters of the generator set are adjusted according to the rate of change of speed and the corresponding governor parameter adjustment amount.

[0068] Step N2: While adjusting the generator set speed, it is necessary to coordinate and adjust the flow rate and pressure of the water turbine to ensure the stable operation of the generator set.

[0069] The power regulation amount Pt of each generator set c Compare with a pre-set change threshold PYt:

[0070] If Pt c >PYt and Pt c When the value is greater than 0, it indicates that the speed of the relevant generator set is increasing, and at the same time, it indicates that the grid load is decreasing, which in turn reduces the flow rate of the water turbine.

[0071] If Pt c <-PYt and Pt c When the value is less than 0, it indicates that the speed of the relevant generator set is decreasing, and at the same time, it indicates that the grid load is increasing, which in turn increases the flow rate of the water turbine.

[0072] Step N3: Subsequently, control commands are generated based on the speed governor parameter adjustment amount and the gate opening degree.

[0073] Step 3: Emergency Stop Scenario Linkage Control:

[0074] When the hydropower station is operating under an emergency shutdown scenario, a control command is generated to close the steam inlet valve or water inlet valve of the generator unit; at the same time, a control command is generated to close the guide vanes of the turbine.

[0075] As a further aspect of the present invention, the method for determining the guide vane opening adjustment amount is as follows:

[0076] Multiple experiments were conducted during the installation, commissioning, and daily operation of the hydropower station equipment, specifically:

[0077] Under different operating conditions, the guide vane opening of the water turbine was changed, and the corresponding generator power data was recorded.

[0078] The relationship between the turbine guide vane opening and the generator power is then expressed by a linear fitting equation y = ax + b.

[0079] Then, the least squares method is used to solve for a and b in the linear fitting equation;

[0080] Then, the current power of the generator set is added to its corresponding power adjustment amount, and substituted into the linear fitting equation y=ax+b to obtain the adjusted turbine guide vane opening.

[0081] Then, the difference between the adjusted turbine guide vane opening and the current turbine guide vane opening is calculated, which gives the turbine guide vane opening adjustment amount.

[0082] As a further aspect of the present invention, the method for deriving the speed governor parameter adjustment amount is as follows:

[0083] During the installation, commissioning, and daily operation of hydropower station equipment, multiple experiments were conducted, and multiple sets of speed change rate and governor parameter values ​​were collected.

[0084] The relationship between the governor parameters is then represented by the linear fitting equation y = cx + d.

[0085] Then, the least squares method is used to solve for c and d in the linear fitting equation;

[0086] The generator set speed change rate was then substituted into the linear fitting equation y=cx+d, and the adjusted governor parameter values ​​were obtained.

[0087] Then, the difference between the adjusted governor parameter value and the current governor parameter value is calculated to obtain the governor parameter adjustment amount.

[0088] As a further aspect of the present invention: the flow rate regulation value of the water turbine is specifically determined by first determining the guide vane opening regulation amount of the water turbine based on the power regulation amount of the generator set, and then determining the flow rate regulation value of the water turbine based on the guide vane opening regulation amount of the water turbine.

[0089] The method for determining the flow regulation value of a water turbine is as follows:

[0090] Multiple experiments were conducted during the installation, commissioning, and daily operation of the hydropower station equipment, specifically:

[0091] Under different operating conditions, the guide vane opening of the water turbine was changed, and the corresponding water turbine flow data was recorded;

[0092] The relationship between the turbine guide vane opening and the turbine flow rate is then expressed by a linear fitting equation y = px + q.

[0093] Then, p and q in the linear fitting equation are solved using the least squares method;

[0094] Then, substitute the turbine guide vane opening into the linear fitting equation y = px + q, and obtain the adjusted turbine flow rate;

[0095] The difference between the adjusted turbine flow rate and the current turbine flow rate is then calculated to obtain the turbine flow rate adjustment value.

[0096] As a further aspect of the present invention: the flow rate is regulated by controlling the opening degree of the gate, and the relationship between the gate opening degree and the flow rate is determined through multiple experiments conducted during the installation, commissioning, and daily operation of the hydropower station equipment; the specific method is as follows:

[0097] In multiple experiments, the opening values ​​of the gates and the flow rate values ​​of the turbines were collected.

[0098] The relationship between the governor parameter values ​​is then represented by the linear fitting equation y = ex + f.

[0099] Then, e and f in the linear fitting equation are solved using the least squares method;

[0100] The flow rate value needs to be increased or decreased, which is then substituted into the linear fitting equation y = cx + d to obtain the gate opening.

[0101] A distributed intelligent scene linkage control system for hydropower stations. This system is used to implement a method for controlling distributed intelligent scene linkage in hydropower stations. The system includes:

[0102] The sensor module is used to collect the operating parameters of the corresponding equipment at various key locations in the hydropower station in real time.

[0103] The central control module is used to receive the operating parameters of the corresponding equipment distributed in various key locations of the hydropower station, then perform scene recognition analysis based on the parameters to identify the current operating scene of the hydropower station, and then perform linkage control analysis based on the scene recognition analysis results, and generate corresponding control commands based on the linkage control analysis results.

[0104] The control execution module is used to operate and process equipment distributed in various key locations of the hydropower station according to control commands;

[0105] The data communication module is used to achieve data transmission between the corresponding equipment at various key locations in the hydropower station and the central control module, as well as between the corresponding equipment at various key locations, using a combination of wireless and wired communication methods.

[0106] The beneficial effects of this invention are:

[0107] This invention uses sensor modules to collect real-time operating parameters of key equipment in hydropower stations, such as generator sets and turbines, including generator speed and power, and turbine flow and pressure. This allows for a comprehensive understanding of the operating status of hydropower station equipment and provides an accurate data foundation for subsequent scene recognition and control.

[0108] This invention employs filtering, feature extraction, and scene classification for scene identification and analysis. By filtering the collected operating parameters, noise interference is removed, improving data accuracy. Key features such as rotational speed change rate, power change trend, and flow-pressure ratio are extracted. Based on preset rules and feature threshold ranges, the current operating scene of the hydropower station can be accurately determined, including normal power generation, load regulation, and emergency shutdown scenarios, providing a basis for targeted control decisions.

[0109] This invention develops detailed linkage control strategies for different operating scenarios. Under normal power generation conditions, it can accurately calculate the power regulation of each generator unit and the guide vane opening regulation of the turbine based on the power demand of the power grid and the total power of the hydropower station's generator units, and generate corresponding control commands to achieve efficient and stable power generation. In load regulation scenarios, it adjusts the governor parameters of the generator units in a timely manner based on the rate of change of rotational speed and its corresponding governor parameter adjustment, while simultaneously coordinating the flow and pressure of the turbine to ensure stable operation of the generator units and effective response to load changes. In emergency shutdown scenarios, it rapidly generates control commands to close the steam or water inlet valves of the generator units and to close the turbine guide vanes, ensuring the safety of hydropower station equipment and personnel.

[0110] In determining key parameters such as guide vane opening adjustment, governor parameter adjustment, turbine flow regulation, and gate opening, this invention conducts multiple experiments during the installation, commissioning, and daily operation of hydropower station equipment. By using linear fitting equations and the least squares method to solve for the relevant parameters, the determination of these parameters becomes more scientific and reasonable, thereby improving the accuracy and reliability of the control system.

[0111] This invention employs a combination of wireless and wired communication methods in its data communication module. This enables data transmission between the corresponding equipment at various key locations in the hydropower station and the central control module, as well as between the corresponding equipment at various key locations. This ensures the stability and timeliness of data transmission, providing a guarantee for the efficient operation of the entire control system. Attached Figure Description

[0112] The invention will now be further described with reference to the accompanying drawings.

[0113] Figure 1 This is a system block diagram of the distributed intelligent scene linkage control system for hydropower stations and its implementation method of the present invention.

[0114] Figure 2 This is a flowchart illustrating the distributed intelligent scene linkage control system for hydropower stations and its implementation method according to the present invention. Detailed Implementation

[0115] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0116] Example 1

[0117] Please see Figure 1 and Figure 2As shown, this invention is a distributed intelligent scene linkage control system for hydropower stations and its implementation method. The system includes:

[0118] The sensor module is used to collect the operating parameters of the corresponding equipment at various key locations in the hydropower station in real time.

[0119] In this embodiment:

[0120] Distributed in various key locations within a hydropower station are the generator units and turbines.

[0121] The operating parameters at each key location include the generator set's speed and power, and the turbine's flow rate and pressure;

[0122] The sensor module collects operating parameters at a frequency of f times / second to ensure real-time data accuracy.

[0123] The central control module is used to receive the operating parameters of the corresponding equipment distributed in various key locations of the hydropower station, then perform scene recognition analysis based on the parameters to identify the current operating scene of the hydropower station, and then perform linkage control analysis based on the scene recognition analysis results, and generate corresponding control commands based on the linkage control analysis results.

[0124] In this embodiment, the control commands include adjusting the output power of the generator set, controlling the opening of the turbine guide vanes, and opening and closing the gates;

[0125] The control execution module is used to operate and process equipment distributed in various key locations of the hydropower station according to control commands;

[0126] In this embodiment, the operation process includes adjusting the output power of the generator set, controlling the opening of the turbine guide vanes, and opening and closing the gates.

[0127] Among them, the sensor module and the control execution module are installed on the equipment at various key locations in the hydropower station;

[0128] The data communication module is used to achieve data transmission between the corresponding equipment at various key locations in the hydropower station and the central control module, as well as between the corresponding equipment at various key locations, using a combination of wireless and wired communication methods.

[0129] In this embodiment, wireless communication uses low-power wide-area network technology to ensure long-distance, low-power data transmission; wired communication uses industrial Ethernet to ensure high-speed and stable data transmission.

[0130] The implementation method of the distributed intelligent scene linkage control system for hydropower stations includes the following steps:

[0131] Step 1: Real-time acquisition of operating parameters of generator sets and turbines in the hydropower station through sensor modules. Operating parameters include generator set speed and power, and turbine flow rate and pressure.

[0132] The second step is to receive the operating parameters of the corresponding equipment distributed in various key locations of the hydropower station through the central control module. Then, the central control module performs scene recognition and analysis based on the scene recognition and analysis results, and then performs linkage control analysis based on the linkage control analysis results to generate corresponding control commands.

[0133] The scene recognition and analysis method is as follows:

[0134] First, extract the key features of the equipment corresponding to each key location from the operating parameters;

[0135] Key features include:

[0136] Speed ​​change rate, power change trend, flow-pressure ratio;

[0137] The method for extracting the rate of change of rotational speed is as follows:

[0138] Within a specified period, the generator set's speed parameters are collected via a sensor module and labeled as Z. e ;

[0139] Subsequently passed: Calculate the rate of change of rotational speed ZB;

[0140] In the formula, T1 is the duration of the specified period. This refers to the time interval between two adjacent data acquisition points of the sensor module.

[0141] The method for extracting power change trends is as follows:

[0142] Within a specified period, the power parameters of the generator set are collected by the sensor module and labeled as P. e e = 1, 2, ..., v, where v represents the number of time points collected within the specified period;

[0143] Subsequently passed: Calculate the power change trend PQ;

[0144] The flow-pressure ratio is extracted as follows:

[0145] Within a specified period, the flow rate and pressure values ​​at the turbine inlet pipe are collected by the sensor module and labeled as L. e and Y e ;

[0146] Subsequently passed: Calculate the flow-pressure ratio LY;

[0147] Next, based on the results of feature extraction, the current operating scenario of the hydropower station is determined;

[0148] The method for determining the operating scenario is as follows:

[0149] Step S.3.1, Feature Threshold Extraction:

[0150] Extract the preset speed change rate threshold ZB based on the speed change rate ZB, power change trend PQ, and flow-pressure ratio LY. y Power change trend threshold PQ y Flow-pressure ratio threshold range [LY] y1 LY y2 ]; Among them: LY y1 <LY y2 ;

[0151] Simultaneously extract the speed Z of the motor set. e Power P e The flow rate L of the water turbine e Pressure Y e The corresponding preset speed threshold range [Z] min Z max Power threshold range [P] min P max ], flow threshold range [L min L max ] and pressure threshold range [Y min Y max ];

[0152] Step S.3.2, Feature comparison and judgment:

[0153] First, the speed change rate ZB, power change trend PQ, and flow-pressure ratio LY are compared with the speed change rate threshold ZB. y Power change trend threshold PQ y Flow-pressure ratio threshold range [LY] y1 LY y2 The threshold in ] is compared:

[0154] When |ZB|≤ZB y |PQ|≤PQ y LY y1 ≤LY≤LY y2 If all conditions are met, the hydropower station is determined to be operating under normal power generation conditions.

[0155] Conversely, when |ZB|>ZB y |PQ|>PQ y LY < LY y1 LY>LY y2If at least one of the comparison conditions is true, then the hydropower station is determined to be in a load regulation scenario.

[0156] Next, based on the motor unit's speed Z... e Power P e The flow rate L of the water turbine e Pressure Y e Respectively with the speed threshold range [Z min Z max Power threshold range [P] min P max ], flow threshold range [L min L max ] and pressure threshold range [Y min Y max Compare;

[0157] Subsequently, the rotational speed Z was extracted. e Not within the speed threshold range [Z min Z max ] Quantity and power P within e Not within the power threshold range [P min P max ] Quantity within, extraction flow rate L e Not within the flow threshold range [L] min L max ] Quantity within, extraction pressure Y e Not within the pressure threshold range [Y] min Y max The quantity within ] is labeled as S. Z S P S L S Y ;

[0158] Then S Z / v、S P / v、S L / v、S Y / v is compared with the corresponding preset quantity threshold SXv:

[0159] If S Z / v>SX v S P / v>SX v S L / v>SX v S Y / v>SX v If at least one of the comparison conditions is true, then the hydropower station is determined to be in an emergency shutdown scenario.

[0160] Among them, Z min ≤Ze ≤Z max P min ≤P e ≤P max L min ≤L e ≤L max Y min ≤Y e ≤Y max This indicates that the generator units and turbines in the hydropower station are functioning normally;

[0161] The linkage control analysis method is as follows:

[0162] Step 1: Interlocking Control for Normal Power Generation Scenarios

[0163] Step M1: When the hydropower station is operating under normal power generation conditions, then:

[0164] Obtain the power demand of the power grid and label it as Px;

[0165] Extract the total power of all generator units corresponding to each key location of the hydropower station and label it as Pz;

[0166] Then, the total power regulation to meet the grid demand is calculated using Pt = Px - Pz;

[0167] Step M2: Then, based on the rated power of each generator set, calculate the power adjustment amount of each generator set.

[0168] The calculation method for power regulation is as follows:

[0169] In the formula, Pt c For the power regulation of each generator set, EP c Let c = 1, 2, ..., w, where w is the total number of generator sets corresponding to each key location in the hydropower station.

[0170] In this embodiment, it is assumed that the hydropower station has three generator sets with rated powers of 100kW, 150kW and 200kW respectively.

[0171] Meanwhile, assuming the current power demand of the power grid is 350KW, and the total power of the three generator sets is 300KW, then the power regulation is 350-300=50kW;

[0172] Therefore, the power regulation of each generator set is as follows:

[0173] Step M3: Determine the guide vane opening adjustment amount of the water turbine based on the power adjustment amount of the generator set;

[0174] The method for determining the guide vane opening adjustment is as follows:

[0175] Multiple experiments were conducted during the installation, commissioning, and daily operation of the hydropower station equipment, specifically:

[0176] Under different operating conditions, the guide vane opening of the water turbine was changed, and the corresponding generator power data was recorded.

[0177] The relationship between the turbine guide vane opening and the generator power is then expressed by a linear fitting equation y = ax + b.

[0178] Then, the least squares method is used to solve for a and b in the linear fitting equation;

[0179] Next, the current power of the generator set is added to its corresponding power adjustment amount, and substituted into the linear fitting equation y=ax+b to obtain the adjusted turbine guide vane opening.

[0180] Then, the difference between the adjusted turbine guide vane opening and the current turbine guide vane opening is calculated, which gives the turbine guide vane opening adjustment amount.

[0181] Step M5: Then, generate corresponding control commands for the power adjustment of each generator set and the guide vane opening adjustment of the turbine.

[0182] Step 2: Load adjustment scenario linkage control;

[0183] Step N1: When the hydropower station is operating under a load regulation scenario, the load change will directly affect the speed of the generator set. Based on the speed change rate and its corresponding governor parameter adjustment amount, the governor parameters of the generator set are adjusted to change the speed of the generator set in response to the load change.

[0184] The method for obtaining the speed governor parameter adjustment amount is as follows:

[0185] During the installation, commissioning, and daily operation of hydropower station equipment, multiple experiments were conducted, and multiple sets of speed change rate and governor parameter values ​​were collected.

[0186] The relationship between the governor parameters is then represented by the linear fitting equation y = cx + d.

[0187] Then, the least squares method is used to solve for c and d in the linear fitting equation;

[0188] The generator set speed change rate was then substituted into the linear fitting equation y=cx+d, and the adjusted governor parameter values ​​were obtained.

[0189] Then, the difference between the adjusted governor parameter value and the current governor parameter value is calculated, which gives the governor parameter adjustment amount;

[0190] Step N2: While adjusting the generator set speed, it is necessary to coordinate and adjust the flow rate and pressure of the water turbine to ensure the stable operation of the generator set.

[0191] The power regulation amount Pt of each generator set c Compare with a pre-set change threshold PYt:

[0192] If Pt c >PYt and Pt c When the value is greater than 0, it indicates that the speed of the relevant generator set is increasing, and at the same time, it indicates that the grid load is decreasing, which in turn reduces the flow rate of the water turbine.

[0193] If Pt c <-PYt and Pt c When the value is less than 0, it indicates that the speed of the relevant generator set is decreasing, and at the same time, it indicates that the grid load is increasing, which in turn increases the flow rate of the water turbine.

[0194] Specifically, the flow regulation value of the water turbine is determined by first determining the guide vane opening regulation value of the water turbine based on the power regulation value of the generator set, and then determining the flow regulation value of the water turbine based on the guide vane opening regulation value of the water turbine.

[0195] The method for determining the flow regulation value of the water turbine is as follows:

[0196] Multiple experiments were conducted during the installation, commissioning, and daily operation of the hydropower station equipment, specifically:

[0197] Under different operating conditions, the guide vane opening of the water turbine was changed, and the corresponding water turbine flow data was recorded;

[0198] The relationship between the turbine guide vane opening and the turbine flow rate is then expressed by a linear fitting equation y = px + q.

[0199] Then, p and q in the linear fitting equation are solved using the least squares method;

[0200] Then, substitute the turbine guide vane opening into the linear fitting equation y = px + q, and obtain the adjusted turbine flow rate;

[0201] Then, the difference between the adjusted turbine flow rate and the current turbine flow rate is calculated to obtain the turbine flow rate adjustment value.

[0202] Step N3: Subsequently, control commands are generated by adjusting the governor parameters and the turbine flow rate regulation value.

[0203] Step 3: Emergency shutdown scenario linkage control;

[0204] When the hydropower station is operating under an emergency shutdown scenario, a control command is generated to close the steam inlet valve or water inlet valve of the generator set to stop power generation; at the same time, a control command is generated to close the guide vanes of the turbine to cut off the water flow.

[0205] The third step: The control execution module generates corresponding control commands through the central control module to operate and process the equipment distributed in various key locations of the hydropower station.

[0206] This embodiment constructs a complete distributed intelligent scenario-based linkage control system for hydropower stations and its implementation method. Sensor modules collect real-time operating parameters of key equipment such as generator sets and turbines. The central control module uses these parameters for scenario identification and linkage control analysis, accurately determining different operating scenarios such as normal power generation, load regulation, and emergency shutdown, and generating corresponding control commands. The control execution module then operates the equipment according to these commands. Its beneficial effects include achieving intelligent identification and precise linkage control of hydropower station operating scenarios, ensuring the stable and efficient operation of the hydropower station, improving the hydropower station's ability to cope with different operating conditions, meeting grid demands, and ensuring equipment safety.

[0207] Example 2

[0208] Please see Figure 1 and Figure 2 As shown, as a second embodiment of the present invention, in specific implementation, compared with the first embodiment, the technical solution of this embodiment differs from both the first and second embodiments only in this embodiment:

[0209] Before scene recognition and analysis, the operating parameters collected by the sensor module at various key locations in the hydropower station are filtered to remove noise interference.

[0210] The filtering process is as follows:

[0211] In this embodiment, the filtering process employs a moving average filtering method;

[0212] The operating parameters collected from corresponding equipment at various key locations of the hydropower station will be arranged into a parameter sequence {G} according to the time sequence. i，j}, i = 1, 2, ..., n, j = 1, 2, ..., m, where n represents the number of timestamps collected corresponding to the running parameters, and m represents the number of devices corresponding to the key locations;

[0213] It was subsequently passed;

[0214] Calculate the filtered operating parameters G0 of the device corresponding to the j-th key location at the i-th acquisition timestamp. i，j ;

[0215] In the formula, k is the preset sliding window size. t is the index of the sliding window. The floor symbol;

[0216] Example 2: This example, based on Example 1, adds a step of performing a moving average filtering process on the operating parameters collected by the sensors. By arranging the collected operating parameters into a time sequence, noise interference is removed using the moving average filtering formula, resulting in more accurate operating parameters. The beneficial effects of this improvement are improved data quality, reduced impact of noise on subsequent scene recognition and analysis, enabling the system to make decisions based on more reliable data, thereby enhancing the stability and reliability of the entire control system and avoiding misjudgments and malfunctions caused by noisy data.

[0217] Example 3

[0218] Please see Figure 1 and Figure 2 As shown, as a third embodiment of the present invention, in specific implementation, compared with embodiments one and two, the technical solution of this embodiment is to combine the solutions of embodiments one and two. The only difference between the technical solution of this embodiment and embodiments one and two is that in this embodiment, the flow rate is adjusted by controlling the opening of the gate. The relationship between the gate opening and the flow rate is determined through multiple experiments during the installation, commissioning, and daily operation of the hydropower station equipment. The specific method is as follows:

[0219] In multiple experiments, the opening values ​​of the gates and the flow rate values ​​of the turbines were collected.

[0220] The relationship between the governor parameter values ​​is then represented by the linear fitting equation y = ex + f.

[0221] Then, e and f in the linear fitting equation are solved using the least squares method;

[0222] The required increase or decrease in flow rate is then substituted into the linear fitting equation y = cx + d, and the gate opening is obtained.

[0223] Example 3: This example combines Examples 1 and 2, innovating in flow regulation by controlling the gate opening. Multiple experiments during equipment installation, commissioning, and daily operation determined the linear relationship between gate opening and flow, allowing the gate opening to be determined based on flow demand. Its advantages lie in providing a new flow regulation method that, compared to traditional methods, can control flow more precisely and efficiently under certain operating conditions, optimizing the water flow conditions for turbine operation and contributing to further improving the power generation efficiency and equipment operational stability of the hydropower station.

[0224] Example 4

[0225] Please see Figure 1 and Figure 2 As shown, as a fourth embodiment of the present invention, in specific implementation, compared with embodiments one, two and three, the technical solution of this embodiment is to combine the solutions of embodiments one, two and three above.

[0226] Example 4: Example 4 integrates the solutions of Examples 1, 2, and 3. It not only possesses the basic functions of real-time acquisition of operating parameters, intelligent scene identification, and coordinated control, but also ensures data quality through filtering and employs a method of regulating flow by controlling the opening of gates. The beneficial effect of this comprehensive solution is that it fully integrates the advantages of each example, optimizing aspects from data acquisition and analysis to flow regulation and control. It provides hydropower stations with a more complete, intelligent, and reliable distributed intelligent scene-linked control system, maximizing the safe, stable, and efficient operation of the hydropower station.

[0227] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters and thresholds in the formulas are set by those skilled in the art according to the actual situation.

[0228] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for implementing a distributed intelligent scene linkage control system for hydropower stations, characterized in that, Includes the following steps: Step 1: Real-time acquisition of operating parameters of generator sets and turbines in the hydropower station through sensor modules. Operating parameters include generator set speed and power, and turbine flow rate and pressure. The second step involves the central control module receiving operating parameters from equipment located at various key positions within the hydropower station. This central control module then performs scene recognition analysis, extracting key features from the operating parameters to determine the current operating scenario of the hydropower station. Following this, the central control module performs coordinated control analysis based on the scene recognition analysis results. Control commands include adjusting the generator output power, controlling the turbine guide vane opening, and opening and closing gates. The coordinated control analysis method is as follows: Step 1: Interlocking control during normal power generation: When the hydropower station is operating under normal power generation conditions, the power demand of the power grid is obtained, the total power of all generator units corresponding to each key location of the hydropower station is extracted, and then the total power regulation amount to meet the power grid demand is calculated by subtracting the total power from the demand power. Then, based on the rated power of each generator unit, the power regulation amount of each generator unit is calculated. Based on the power regulation amount of the generator units, the guide vane opening regulation amount of the turbine is determined. Finally, the power regulation amount of each generator unit and the guide vane opening regulation amount of the turbine are used to generate corresponding control commands. Step 2: Load Adjustment Scenario Linkage Control When the hydropower station operates under load regulation conditions, the governor parameters of the generator units are adjusted based on the rate of change of rotational speed and its corresponding governor parameter adjustment; the power regulation amount Pt of each generator unit is adjusted accordingly. c Compare with a pre-set change threshold PYt: If Pt c >PYt and Pt c When Pt > 0, it indicates a decrease in grid load, which in turn reduces the turbine flow rate; if Pt c <-PYt and Pt c When the value is less than 0, it indicates that the power grid load has increased, which in turn increases the flow rate of the water turbine; subsequently, control commands are generated by adjusting the governor parameters and the gate opening. Step 3: Emergency Stop Scenario Linkage Control: When the hydropower station is operating under an emergency shutdown scenario, a control command is generated to close the steam inlet valve or water inlet valve of the generator unit; at the same time, a control command is generated to close the guide vanes of the turbine. The third step: The control execution module generates corresponding control commands through the central control module to operate and process the equipment distributed in various key locations of the hydropower station.

2. The implementation method of the distributed intelligent scene linkage control system for hydropower stations according to claim 1, characterized in that, in, Key features include: Speed ​​change rate, power change trend, flow-pressure ratio; The method for extracting the rate of change of rotational speed is as follows: Within a specified period, the generator set's speed parameters are collected via a sensor module and labeled as Z. e ; Subsequently passed: The rotational speed change rate ZB was calculated. In the formula, T1 is the duration of the specified period. This refers to the time interval between two adjacent data acquisition points of the sensor module. The method for extracting power change trends is as follows: Within a specified period, the power parameters of the generator set are collected by the sensor module and labeled as P. e e = 1, 2, ..., v, where v represents the number of time points collected within the specified period; Subsequently passed: The power change trend PQ was calculated. The flow-pressure ratio is extracted as follows: Within a specified period, the flow rate and pressure values ​​at the turbine inlet pipe are collected by the sensor module and labeled as L. e and Y e ; Subsequently passed: The flow-pressure ratio LY is calculated.

3. The implementation method of the distributed intelligent scene linkage control system for hydropower stations according to claim 2, characterized in that, The method for determining the operating scenario is as follows: Step S.3.1, Feature Threshold Extraction: Extract the preset speed change rate threshold ZB based on the speed change rate ZB, power change trend PQ, and flow-pressure ratio LY. y Power change trend threshold PQ y Flow-pressure ratio threshold range [LY] y1 LY y2 ]; Among them: LY y1 <LY y2 ; Simultaneously extract the speed Z of the motor set. e Power P e The flow rate L of the water turbine e Pressure Y e The corresponding preset speed threshold range [Z] min Z max Power threshold range [P] min P max ], flow threshold range [L min L max ] and pressure threshold range [Y min Y max ]; Step S.3.2, Feature comparison and judgment: First, the speed change rate ZB, power change trend PQ, and flow-pressure ratio LY are compared with the speed change rate threshold ZB. y Power change trend threshold PQ y Flow-pressure ratio threshold range [LY] y1 LY y2 The threshold in ] is compared: When |ZB|≤ZB y |PQ|≤PQ y LY y1 ≤LY≤LY y2 If all conditions are met, the hydropower station is determined to be operating under normal power generation conditions. Conversely, when |ZB|>ZB y |PQ|>PQ y LY < LY y1 LY>LY y2 If at least one of the comparison conditions is true, then the hydropower station is determined to be in a load regulation scenario. Next, based on the motor unit's speed Z... e Power P e The flow rate L of the water turbine e Pressure Y e Respectively with the speed threshold range [Z min Z max Power threshold range [P] min P max ], flow threshold range [L min L max ] and pressure threshold range [Y min Y max Compare; Subsequently, the rotational speed Z was extracted. e Not within the speed threshold range [Z min Z max ] Quantity and power P within e Not within the power threshold range [P min P max ] Quantity within, extraction flow rate L e Not within the flow threshold range [L] min L max ] Quantity within, extraction pressure Y e Not within the pressure threshold range [Y] min Y max The quantity within ] is labeled as S. Z S P S L S Y ; Then S Z / v、S P / v、S L / v、S Y / v is compared with the corresponding preset quantity threshold SXv: If S Z / v>SX v S P / v>SX v S L / v>SX v S Y / v>SX v If at least one of the comparative conditions is true, then the hydropower station is determined to be in an emergency shutdown scenario.

4. The implementation method of the distributed intelligent scene linkage control system for hydropower stations according to claim 3, characterized in that, The calculation method for power regulation is as follows: ; In the formula, Pt c For the power regulation of each generator set, EP c Let c be the rated power of each generator set, c = 1, 2, ..., w, where w is the total number of generator sets corresponding to each key location in the hydropower station.

5. The implementation method of the distributed intelligent scene linkage control system for hydropower stations according to claim 4, characterized in that, in, The method for determining the guide vane opening adjustment amount is as follows: Multiple experiments were conducted during the installation, commissioning, and daily operation of the hydropower station equipment, specifically: Under different operating conditions, the guide vane opening of the water turbine was changed, and the corresponding generator power data was recorded. The relationship between the turbine guide vane opening and the generator power was then expressed by a linear fitting equation y=ax+b. Then, the least squares method is used to solve for a and b in the linear fitting equation; Then, the current power of the generator set is added to its corresponding power adjustment amount, and substituted into the linear fitting equation y=ax+b to obtain the adjusted turbine guide vane opening. Then, the difference between the adjusted turbine guide vane opening and the current turbine guide vane opening is calculated, which gives the turbine guide vane opening adjustment amount.

6. The implementation method of the distributed intelligent scene linkage control system for hydropower stations according to claim 3, characterized in that, in, The speed governor parameter adjustment amount is obtained as follows: During the installation, commissioning, and daily operation of hydropower station equipment, multiple experiments were conducted, and multiple sets of speed change rate and governor parameter values ​​were collected. The relationship between the governor parameter values ​​is then represented by the linear fitting equation y=cx+d. Then, the least squares method is used to solve for c and d in the linear fitting equation; The generator set speed change rate was then substituted into the linear fitting equation y=cx+d, and the adjusted governor parameter values ​​were obtained. Then, the difference between the adjusted governor parameter value and the current governor parameter value is calculated to obtain the governor parameter adjustment amount.

7. The implementation method of the distributed intelligent scene linkage control system for hydropower stations according to claim 5, characterized in that, in, The specific flow regulation value of the water turbine is determined by first determining the guide vane opening regulation value of the water turbine based on the power regulation value of the generator set, and then determining the flow regulation value of the water turbine based on the guide vane opening regulation value of the water turbine. The method for determining the flow regulation value of a water turbine is as follows: Multiple experiments were conducted during the installation, commissioning, and daily operation of the hydropower station equipment, specifically: Under different operating conditions, the guide vane opening of the water turbine was changed, and the corresponding water turbine flow data was recorded; The relationship between the turbine guide vane opening and the turbine flow rate was then expressed by a linear fitting equation y=px+q. Then, p and q in the linear fitting equation are solved using the least squares method; Then, substitute the turbine guide vane opening into the linear fitting equation y=px+q, and obtain the adjusted turbine flow rate; The difference between the adjusted turbine flow rate and the current turbine flow rate is then calculated to obtain the turbine flow rate adjustment value.

8. The implementation method of the distributed intelligent scene linkage control system for hydropower stations according to claim 7, characterized in that, in, Flow rate regulation is achieved by controlling the gate opening. The relationship between gate opening and flow rate is determined through multiple experiments conducted during the installation, commissioning, and daily operation of the hydropower station equipment. The specific method is as follows: In multiple experiments, the opening values ​​of the gates and the flow rate values ​​of the turbines were collected. The relationship between the governor parameters is then represented by the linear fitting equation y=ex+f. Then, e and f in the linear fitting equation are solved using the least squares method; The flow rate needs to be increased or decreased, which is then substituted into the linear fitting equation y=cx+d to obtain the gate opening.

9. A distributed intelligent scene linkage control system for a hydropower station, the system being used to implement the method for implementing the distributed intelligent scene linkage control system for a hydropower station as described in any one of claims 1-8, characterized in that, The system includes: The sensor module is used to collect the operating parameters of the corresponding equipment at various key locations in the hydropower station in real time. The central control module is used to receive the operating parameters of the corresponding equipment distributed in various key locations of the hydropower station, then perform scene recognition analysis based on the parameters to identify the current operating scene of the hydropower station, and then perform linkage control analysis based on the scene recognition analysis results, and generate corresponding control commands based on the linkage control analysis results. The control execution module is used to operate and process equipment distributed in various key locations of the hydropower station according to control commands; The data communication module is used to achieve data transmission between the corresponding equipment at various key locations in the hydropower station and the central control module, as well as between the corresponding equipment at various key locations, using a combination of wireless and wired communication methods.

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