Hydropower station distributed intelligent scene linkage control system and implementation method thereof

Abstract

The invention 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, and the system comprises a sensor module, a central control module, a control execution module, and a data communication module. Various operation parameters of key position equipment such as a generator set and a water turbine are comprehensively collected in real time through a sensor module, operation scenes such as normal power generation, load adjustment and emergency shutdown are accurately recognized through operation such as filtering and feature extraction, scientific linkage control strategies are formulated according to different scenes, for example, power and guide vane opening are adjusted according to needs during normal power generation, and the operation efficiency is improved. During load adjustment, rotating speed changes are responded to coordinate parameters of the water turbine, a key valve is rapidly closed during emergency shutdown, key parameters are scientifically determined through multiple experiments and linear fitting, data are transmitted in a wireless and wired combined reliable communication mode, efficient operation of the system is guaranteed, and the safety, stability and power generation efficiency of the hydropower station are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of hydropower station control, and particularly relates to a distributed intelligent scenario linkage control system for a hydropower station and an implementation method thereof. Background Art

[0002] Traditional hydropower station control systems have many limitations and are difficult to meet the complex requirements of modern power production. In traditional control systems, the collection of operating parameters of key equipment such as generator sets and water turbines in hydropower stations is often not comprehensive and real-time enough. Parameters of equipment distributed at various key positions in the hydropower station, such as the rotational speed and power of generator sets, and the flow rate and pressure of water turbines, cannot be timely and accurately fed back to the control center, resulting in a lag in the understanding of the equipment operating status. This makes it impossible to make precise decisions quickly in the face of complex and changeable operating conditions, seriously affecting the power generation efficiency and stability of the hydropower station.

[0003] At the same time, traditional control systems lack effective scenario recognition and linkage control mechanisms. They cannot accurately identify the current operating scenario of the hydropower station, such as the normal power generation scenario, load regulation scenario, or emergency shutdown scenario, based on the collected equipment operating parameters. Once an abnormal situation occurs, corresponding linkage control measures cannot be started in time, resulting in the equipment may be in an unreasonable operating state for a long time, increasing equipment wear and failure risks, and even possibly triggering safety accidents, posing a threat to the normal operation of the hydropower station and the safety of personnel.

[0004] In addition, traditional communication methods also have deficiencies in data transmission. It is difficult to achieve stable and efficient data transmission between the equipment corresponding to each key position in the hydropower station and the central control module, as well as between the equipment corresponding to each key position. Especially in large hydropower stations, where the equipment is widely distributed, wired communication is restricted by wiring and is difficult to cover all areas, while single wireless communication is easily affected by environmental interference, resulting in data transmission interruption or loss, seriously affecting the overall performance of the control system. Summary of the Invention

[0005] The purpose of the present invention is to provide a distributed intelligent scenario linkage control system for a hydropower station and an implementation method thereof, which solves the technical problems proposed in the background art.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] An implementation method of a distributed intelligent scenario linkage control system for a hydropower station includes the following steps:

[0008] The first step, information collection:

[0009] Real-time collect the operating parameters of the equipment corresponding to each key position distributed in the hydropower station through the sensor module;

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

[0011] Step 2, Linkage control:

[0012] The central control module receives the operating parameters of the corresponding equipment at each key position in the hydropower station, and then the central control module conducts scenario recognition and analysis based on them to identify the current operating scenario of the hydropower station. After that, the central control module conducts linkage control analysis based on the results of the scenario recognition and analysis, and generates corresponding control instructions based on the results of the linkage control analysis.

[0013] Among them, the control instructions include adjusting the output power of the generator set, controlling the guide vane opening of the water turbine, and opening and closing the gate.

[0014] Step 3, Control execution:

[0015] The control execution module generates corresponding control instructions through the central control module and operates on the equipment at each key position in the hydropower station.

[0016] Among them, the operations include adjusting the output power of the generator set, controlling the guide vane opening of the water turbine, and opening and closing the gate.

[0017] Among them, the sensor module and the control execution module are set on the equipment corresponding to each key position in the hydropower station.

[0018] As a further solution of the present invention: The scenario recognition and analysis method is as follows:

[0019] Step S.1, Filtering processing:

[0020] Perform filtering processing on the operating parameters collected by the sensor module at the equipment corresponding to each key position in the hydropower station.

[0021] Step S.2, Feature extraction:

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

[0023] Step S.3, Scenario classification:

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

[0025] As a further solution of the present invention: The filtering processing method is as follows:

[0026] The operating parameters collected at the equipment corresponding to each key position in the hydropower station are formed into a parameter sequence {G according to the time trend i，j}, where \(i = 1, 2, \cdots, n\), \(j = 1, 2, \cdots, m\), \(n\) represents the number of acquisition timestamps corresponding to the operating parameters, and \(m\) represents the number of devices corresponding to the key positions;

[0027] Pass through accordingly;

[0028] Calculate the filtered operating parameter \(G_0\) of the device corresponding to the \(j\)-th key position at the \(i\)-th acquisition timestamp i，j ;

[0029] In the formula, \(k\) is the preset size of the sliding window, \(t\) is the serial number of the sliding window, is the floor symbol.

[0030] As a further solution of the present invention: Among them, the key features include:

[0031] Rate of change of rotational speed, trend of power change, flow-pressure ratio;

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

[0033] Within a specified period, collect the rotational speed parameters of the generator set through the sensor module and mark them as \(Z\) e ;

[0034] Pass through accordingly: Calculate the rate of change of rotational speed \(ZB\);

[0035] In the formula, \(T_1\) is the duration of the specified period, is the interval duration between two adjacent acquisition time points of the sensor module;

[0036] The extraction method of the trend of power change is as follows:

[0037] Within a specified period, collect the power parameters of the generator set through the sensor module and mark them as \(P\) e , where \(e = 1, 2, \cdots, v\), and \(v\) represents the number of acquisition time points within the specified period;

[0038] Pass through accordingly: Calculate the trend of power change \(PQ\);

[0039] The extraction method of the flow-pressure ratio is as follows:

[0040] Within a specified period, collect the flow value and pressure value at the water turbine inlet pipe through the sensor module and mark them as \(L\) e and \(Y\) e ;

[0041] Pass through accordingly: Calculate the flow-pressure ratio \(LY\).

[0042] As a further solution of the present invention, the operation scenario judgment method is as follows:

[0043] Step S.3.1, Feature threshold extraction:

[0044] Extract the preset rotational speed change rate threshold ZB corresponding to the rotational 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 ; where: LY y1 <LY y2 ;

[0045] At the same time, extract the preset rotational speed threshold range [Z e , Z e , power P e , water turbine flow rate L e , pressure Y min , Z max , power threshold range [P min , P max , flow rate 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, compare the rotational speed change rate ZB, power change trend PQ, and flow pressure ratio LY with the thresholds in the rotational speed change rate threshold ZB y , power change trend threshold PQ y , and flow pressure ratio threshold range [LY y1 , LY y2 respectively:

[0048] When |ZB| ≤ ZB y , |PQ| ≤ PQ y , LY y1 ≤ LY ≤ LY y2 all hold, it is determined that the current operation scenario of the hydropower station is in the normal power generation scenario;

[0049] On the contrary, when |ZB| > ZB y , |PQ| > PQ y , LY < LY y1 , LY > LY y2 at least one of the comparison formulas holds, it is determined that the current operation scenario of the hydropower station is in the load regulation scenario;

[0050] Then, according to the rotational speed Z of the generator set e , power P e , the flow rate L of the water turbine e , and pressure Y e are respectively compared with the rotational speed threshold interval [Z min , Z max , power threshold interval [P min , P max , flow rate threshold interval [L min , L max , and pressure threshold interval [Y min , Y max ;

[0051] Subsequently, the number of Z e not within the rotational speed threshold interval [Z min , Z max , the number of P e not within the power threshold interval [P min , P max , the number of L e not within the flow rate threshold interval [L min , L max , and the number of Y e not within the pressure threshold interval [Y min , Y max are extracted, and they are respectively marked as S Z , S P , S L , S Y ;

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

[0053] If at least one of the comparison expressions S Z / v > SX v , S P / v > SX v , S L / v > SX v , S Y / v > SX v holds, it is determined that the current operation scenario of the hydropower station is in the 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 If so, it indicates that the generator sets and water turbines in the hydropower station are normal.

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

[0056] Step 1. Linkage control in normal power generation scenario:

[0057] Step M1. When the operation scenario of the hydropower station is a normal power generation scenario, then:

[0058] Obtain the required power of the power grid and mark it as Px;

[0059] Extract the total power of all generator sets corresponding to each key position of the hydropower station and mark it as Pz;

[0060] Then, calculate the total power adjustment amount to meet the power grid demand through Pt = Px - Pz;

[0061] Step M2. Then, calculate the power adjustment amount of each generator set according to the rated power of each generator set;

[0062] The calculation method of the power adjustment amount is:

[0063] In the formula, Pt c is the power adjustment amount of each generator set, EP c is the rated power of each generator set, c = 1, 2,..., w, and w is the total number of all generator sets corresponding to each key position of the hydropower station;

[0064] Step M3. Determine the guide vane opening adjustment amount of the water turbine according to the power adjustment amount of the generator set;

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

[0066] Step 2. Linkage control in load regulation scenario:

[0067] Step N1. When the operation scenario of the hydropower station is a load regulation scenario, then adjust the governor parameters of the generator set according to the speed change rate and its corresponding governor parameter adjustment amount;

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

[0069] Compare the power adjustment amount Pt of each generator set c with the preset change threshold PYt:

[0070] If Pt c > PYt and Pt c > 0, it indicates that the rotational speed of the relevant generator set is increasing, and at the same time, it indicates that the grid load is decreasing, and then reduce the flow rate of the water turbine;

[0071] If Pt c < -PYt and Pt c < 0, it indicates that the rotational speed of the relevant generator set is decreasing, and at the same time, it indicates that the grid load is increasing, and then increase the flow rate of the water turbine;

[0072] Step N3: Then generate a control command for the governor parameter adjustment amount and the opening of the gate;

[0073] Step Three: Emergency shutdown scenario linkage control:

[0074] When the operation scenario of the hydropower station is an emergency shutdown scenario, generate a control command to close the steam inlet valve or water inlet valve of the generator set; at the same time, generate a control command to close the guide vane of the water turbine.

[0075] As a further solution of the present invention: Among them, the determination method of the guide vane opening adjustment amount is as follows:

[0076] During the installation and commissioning of the hydropower station equipment and during the daily operation process, conduct multiple experiments, specifically:

[0077] Under different working conditions, change the guide vane opening of the water turbine and record the corresponding generator set power data;

[0078] Then represent the change relationship between the guide vane opening of the water turbine and the generator set power through the linear fitting equation y = ax + b;

[0079] Then solve a and b in the linear fitting equation by the least squares method;

[0080] Then substitute the current power of the generator set plus its corresponding power adjustment amount into the linear fitting equation y = ax + b and obtain the adjusted guide vane opening of the water turbine;

[0081] After that, calculate the difference between the adjusted guide vane opening of the water turbine and the current guide vane opening of the water turbine, that is, obtain the guide vane opening adjustment amount of the water turbine.

[0082] As a further solution of the present invention: Among them, the method for obtaining the adjustment amount of the governor parameters is as follows:

[0083] During the installation, commissioning and daily operation of the hydropower station equipment, conduct multiple experiments and collect multiple sets of rotational speed change rates and governor parameter values;

[0084] Then, represent the change relationship between governor parameter values through the linear fitting equation y = cx + d;

[0085] Then, solve c and d in the linear fitting equation by the least squares method;

[0086] Then, substitute the rotational speed change rate of the generator set into the linear fitting equation y = cx + d, and obtain the adjusted governor parameter value;

[0087] After that, calculate the difference between the adjusted governor parameter value and the current governor parameter value, that is, obtain the adjustment amount of the governor parameters.

[0088] As a further solution of the present invention: Among them, the flow regulation value of the water turbine is specifically determined by first determining the guide vane opening adjustment amount of the water turbine according to the power adjustment amount of the generator set, and then determining the flow regulation value of the water turbine according to the guide vane opening adjustment amount of the water turbine;

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

[0090] During the installation, commissioning and daily operation of the hydropower station equipment, conduct multiple experiments, specifically:

[0091] Under different working conditions, change the guide vane opening of the water turbine and record the corresponding flow data of the water turbine;

[0092] Then, represent the change relationship between the guide vane opening of the water turbine and the water turbine flow through the linear fitting equation y = px + q;

[0093] Then, solve p and q in the linear fitting equation by the least squares method;

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

[0095] After that, calculate the difference between the adjusted water turbine flow and the current water turbine flow, that is, obtain the flow regulation value of the water turbine.

[0096] As a further solution of the present invention: Among them, the flow regulation is achieved by controlling the opening of the gate, and the relationship between the gate opening and the flow is determined through multiple experiments during the installation, commissioning and daily operation of the hydropower station equipment; the specific method is as follows:

[0097] In multiple experiments, multiple groups of gate opening values and turbine flow values are collected;

[0098] Subsequently, the variation relationship between governor parameter values is represented by the linear fitting equation y = ex + f;

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

[0100] Subsequently, the flow value that needs to be increased or decreased is substituted into the linear fitting equation y = cx + d, and the gate opening is obtained.

[0101] A distributed intelligent scenario linkage control system for a hydropower station, which is used to implement the implementation method of the distributed intelligent scenario linkage control system for the hydropower station. The system includes:

[0102] A sensor module for real-time collecting the operating parameters of the equipment corresponding to each key position distributed in the hydropower station;

[0103] A central control module for receiving the operating parameters of the equipment corresponding to each key position distributed in the hydropower station, then performing scenario recognition and analysis based on them to identify the current operating scenario of the hydropower station, then performing linkage control analysis based on the scenario recognition and analysis results, and generating corresponding control instructions based on the linkage control analysis results;

[0104] A control execution module for operating and processing the equipment distributed at each key position in the hydropower station according to the control instructions;

[0105] A data communication module for realizing data transmission between the equipment corresponding to each key position distributed in the hydropower station and the central control module, and between the equipment corresponding to each key position by using a communication method combining wireless and wired.

[0106] Advantages of the present invention:

[0107] The present invention can comprehensively master the operating state of the hydropower station equipment by using the sensor module to real-time collect the operating parameters of the equipment corresponding to each key position such as the generator set and turbine in the hydropower station, such as the speed and power of the generator set, the flow and pressure of the turbine, etc., providing an accurate data basis for subsequent scenario recognition and control.

[0108] The present invention performs scenario recognition and analysis by means of filtering processing, feature extraction and scenario classification. By filtering the collected operating parameters, noise interference is removed and the accuracy of the data is improved. Key features such as the speed change rate, power change trend, flow pressure ratio, etc. are extracted, and according to the preset rules and feature threshold ranges, the current operating scenario of the hydropower station can be accurately judged, including normal power generation scenario, load regulation scenario and emergency shutdown scenario, providing a basis for targeted control decisions.

[0109] For different operating scenarios, the present invention formulates a detailed linkage control strategy. In the normal power generation scenario, it can accurately calculate the power adjustment amount of each generator set and the guide vane opening adjustment amount of the water turbine according to the power demand of the power grid and the total power of the hydropower station generator sets, and generate corresponding control instructions to achieve efficient and stable power generation. In the load regulation scenario, according to the rate of change of speed and its corresponding governor parameter adjustment amount, the governor parameters of the generator set are adjusted in a timely manner, and at the same time, the flow rate and pressure of the water turbine are coordinated to ensure the stable operation of the generator set and effectively respond to load changes. In the emergency shutdown scenario, control instructions for closing the steam inlet valve or water inlet valve of the generator set and closing the guide vanes of the water turbine are quickly generated to ensure the safety of the hydropower station equipment and personnel.

[0110] When determining key parameters such as the guide vane opening adjustment amount, governor parameter adjustment amount, water turbine flow rate adjustment value, and gate opening, the present invention conducts multiple experiments during the installation and commissioning of hydropower station equipment and during daily operation, and uses a linear fitting equation and the least squares method to solve relevant parameters, making the determination of these parameters more scientific and reasonable, and improving the accuracy and reliability of the control system.

[0111] In the present invention, the data communication module adopts a communication method combining wireless and wired, realizing data transmission between the corresponding equipment at each key position in the hydropower station and the central control module, as well as between the corresponding equipment at each key position, ensuring the stability and timeliness of data transmission, and providing guarantee for the efficient operation of the entire control system. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

[0114] Figure 2 is the flow schematic diagram of the distributed intelligent scenario linkage control system and its implementation method for a hydropower station of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0115] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0116] Embodiment 1

[0117] Please refer to Figure 1 and Figure 2As shown in the figure, the present invention is a distributed intelligent scenario linkage control system for a hydropower station and its implementation method. The system includes:

[0118] A sensor module for real-time collecting the operation parameters of the equipment corresponding to each key position distributed in the hydropower station;

[0119] In this embodiment:

[0120] Each key position distributed in the hydropower station includes generators and turbines in the hydropower station;

[0121] The operation parameters of each key position include the rotational speed and power of the generator set, and the flow rate and pressure of the turbine;

[0122] The sensor module collects the operation parameters at a frequency of f times per second to ensure the real-time nature of the data;

[0123] A central control module for receiving the operation parameters of the equipment corresponding to each key position distributed in the hydropower station, then performing scenario recognition and analysis based on them to identify the current operation scenario of the hydropower station, and then performing linkage control analysis based on the scenario recognition and analysis results, and generating corresponding control instructions based on the linkage control analysis results;

[0124] In this embodiment, the control instructions include adjusting the output power of the generator set, controlling the guide vane opening of the turbine, and opening and closing the gate;

[0125] A control execution module for operating and processing the equipment distributed at each key position in the hydropower station according to the control instructions;

[0126] In this embodiment, the operation and processing include adjusting the output power of the generator set, controlling the guide vane opening of the turbine, opening and closing the gate, etc.;

[0127] Among them, the sensor module and the control execution module are arranged on the equipment corresponding to each key position in the hydropower station;

[0128] A data communication module for realizing data transmission between the equipment corresponding to each key position distributed in the hydropower station and the central control module, and between the equipment corresponding to each key position, by using a combination of wireless and wired communication methods;

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

[0130] The implementation method of the distributed intelligent scenario linkage control system for a hydropower station includes the following steps:

[0131] Step 1: The operating parameters of the generator set and the water turbine in the hydropower station are collected in real time through the sensor module. The operating parameters include the rotational speed and power of the generator set, and the flow rate and pressure of the water turbine.

[0132] Step 2: The central control module receives the operating parameters of the corresponding equipment distributed at various key positions in the hydropower station. Then, the central control module performs scene recognition and analysis based on them. After that, the central control module performs linkage control analysis based on the results of the scene recognition and analysis, and generates corresponding control instructions based on the results of the linkage control analysis.

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

[0134] First, extract the key features of the corresponding equipment at each key position from the operating parameters.

[0135] Among them, the key features include:

[0136] The rotational speed change rate, the power change trend, and the flow rate-pressure ratio.

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

[0138] Within the specified period, the rotational speed parameters of the generator set are collected through the sensor module and marked as Z e ;

[0139] Then, through: Calculate the rotational speed change rate ZB;

[0140] In the formula, T1 is the duration of the specified period, is the interval duration between two adjacent acquisition time points of the sensor module;

[0141] The extraction method of the power change trend is as follows:

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

[0143] Then, through: Calculate the power change trend PQ;

[0144] The extraction method of the flow rate-pressure ratio is as follows:

[0145] Within the specified period, the flow rate value and pressure value at the water inlet pipe of the water turbine are collected through the sensor module and marked as L e and Y e ;

[0146] Then, through: Calculate the flow rate-pressure ratio LY;

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

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

[0149] Step S.3.1, Feature threshold extraction:

[0150] Extract the preset rotational speed change rate threshold ZB corresponding to the rotational 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 ; where: LY y1 <LY y2 ;

[0151] At the same time, extract the preset rotational speed threshold range [Z e , Z e , power threshold range [P e , P e , flow threshold range [L min , L max , and pressure threshold range [Y min , Y max corresponding to the rotational speed Z, power P of the generator set, and flow L and pressure Y of the water turbine; min , L max , and pressure threshold range [Y min , Y max ;

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

[0153] First, compare the rotational speed change rate ZB, power change trend PQ, and flow-pressure ratio LY with the thresholds in the rotational speed change rate threshold ZB y , power change trend threshold PQ y , and flow-pressure ratio threshold range [LY y1 , LY y2 respectively:

[0154] When |ZB| ≤ ZB y , |PQ| ≤ PQ y , LY y1 ≤ LY ≤ LY y2 all hold, it is determined that the current operating scenario of the hydropower station is in the normal power generation scenario;

[0155] Conversely, when |ZB| > ZB y , |PQ| > PQ y , LY < LY y1 , LY > LY y2When at least one of the comparison expressions holds, it is determined that the current operating scenario of the hydropower station is in the load regulation scenario;

[0156] Then, based on the rotational speed Z of the generator set e , power P e , the flow rate L of the water turbine e , and pressure Y e , they are respectively compared with the rotational speed threshold range [Z min , Z max , power threshold range [P min , P max , flow rate threshold range [L min , L max , and pressure threshold range [Y min , Y max ;

[0157] Subsequently, the number of Z e not within the rotational speed threshold range [Z min , Z max , the number of P e not within the power threshold range [P min , P max , the number of L e not within the flow rate threshold range [L min , L max , and the number of Y e not within the pressure threshold range [Y min , Y max are extracted respectively, and they are marked as S Z , S P , S L , S Y ;

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

[0159] If at least one of the comparison expressions S Z / v > SX v , S P / v > SX v , S L / v > SX v , S Y / v > SX v holds, it is determined that the current operating scenario of the hydropower station is in the emergency shutdown scenario;

[0160] Wherein, Z min ≤ Ze ≤Z max 、P min ≤P e ≤P max 、L min ≤L e ≤L max 、Y min ≤Y e ≤Y max If so, it indicates that the generator sets and water turbines in the hydropower station are normal;

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

[0162] Step 1. Linkage control in normal power generation scenario

[0163] Step M1. When the operation scenario of the hydropower station is a normal power generation scenario, then:

[0164] Obtain the required power of the power grid and mark it as Px;

[0165] Extract the total power of all generator sets corresponding to each key position of the hydropower station and mark it as Pz;

[0166] Then, calculate the total power adjustment amount to meet the power grid demand through Pt = Px - Pz;

[0167] Step M2. Then, calculate the power adjustment amount of each generator set according to the rated power of each generator set;

[0168] The calculation method of the power adjustment amount is:

[0169] In the formula, Pt c is the power adjustment amount of each generator set, EP c is the rated power of each generator set, c = 1, 2,... w, and w is the total number of all generator sets corresponding to each key position of the hydropower station;

[0170] In this embodiment, it is assumed that the hydropower station has 3 generator sets, and their rated powers are 100kW, 150kW, and 200kW respectively;

[0171] At the same time, it is assumed that the current power grid demand power is 350KW, and the total power of the 3 generator sets is 300KW, then the power adjustment amount is 350 - 300 = 50kW;

[0172] Furthermore, the power adjustment amounts of each generator set are respectively:

[0173] Step M3. Determine the guide vane opening adjustment amount of the water turbine according to the power adjustment amount of the generator set;

[0174] Among them, the determination method of the guide vane opening adjustment amount is as follows:

[0175] During the installation, commissioning and daily operation of the hydropower station equipment, multiple experiments are carried out, specifically:

[0176] Under different working conditions, change the guide vane opening of the water turbine and record the corresponding generator set power data;

[0177] Then, the change relationship between the guide vane opening of the water turbine and the generator set power is represented by the linear fitting equation y = ax + b;

[0178] Then, solve a and b in the linear fitting equation by the least square method;

[0179] Next, add the current power of the generator set to its corresponding power adjustment amount, substitute it into the linear fitting equation y = ax + b, and obtain the adjusted guide vane opening of the water turbine;

[0180] After that, calculate the difference between the adjusted guide vane opening of the water turbine and the current guide vane opening of the water turbine, that is, obtain the guide vane opening adjustment amount of the water turbine;

[0181] Step M5, then generate corresponding control commands for the power adjustment amount of each generator set and the guide vane opening adjustment amount of the water turbine;

[0182] Step Two, load regulation scenario linkage control;

[0183] Step N1, when the operation scenario of the hydropower station is the load regulation scenario, the change of the load will directly affect the speed of the generator set. Then, adjust the governor parameters of the generator set according to the speed change rate and its corresponding governor parameter adjustment amount, and change the speed of the generator set to respond to the load change;

[0184] Among them, the method for obtaining the governor parameter adjustment amount is as follows:

[0185] During the installation, commissioning and daily operation of the hydropower station equipment, multiple experiments are carried out and multiple groups of speed change rates and governor parameter values are collected;

[0186] Then, the change relationship between the governor parameter values is represented by the linear fitting equation y = cx + d;

[0187] Then, solve c and d in the linear fitting equation by the least square method;

[0188] Then, substitute the speed change rate of the generator set into the linear fitting equation y = cx + d, and obtain the adjusted governor parameter value;

[0189] After that, calculate the difference between the adjusted governor parameter value and the current governor parameter value, that is, obtain the governor parameter adjustment amount;

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

[0191] The power adjustment amount Pt of each generator set c is compared with a preset change threshold PYt:

[0192] If Pt c > PYt and Pt c > 0, it indicates that the rotational speed of the relevant generator set is increasing, and at the same time, it indicates that the grid load is decreasing, and then reduce the flow rate of the water turbine;

[0193] If Pt c < -PYt and Pt c < 0, it indicates that the rotational speed of the relevant generator set is decreasing, and at the same time, it indicates that the grid load is increasing, and then increase the flow rate of the water turbine;

[0194] Among them, the flow rate adjustment value of the water turbine is specifically determined by first determining the guide vane opening adjustment amount of the water turbine according to the power adjustment amount of the generator set, and then determining the flow rate adjustment value of the water turbine according to the guide vane opening adjustment amount of the water turbine;

[0195] Among them, the determination method of the flow rate adjustment value of the water turbine is as follows:

[0196] During the installation, commissioning and daily operation of the hydropower station equipment, conduct multiple experiments, specifically:

[0197] Under different working conditions, change the guide vane opening of the water turbine and record the corresponding flow rate data of the water turbine;

[0198] Then, represent the change relationship between the guide vane opening of the water turbine and the flow rate of the water turbine through the linear fitting equation y = px + q;

[0199] Then, solve p and q in the linear fitting equation by the least square method;

[0200] Substitute the guide vane opening of the water turbine into the linear fitting equation y = px + q and obtain the adjusted flow rate of the water turbine;

[0201] After that, calculate the difference between the adjusted flow rate of the water turbine and the current flow rate of the water turbine, that is, obtain the flow rate adjustment value of the water turbine;

[0202] Step N3: Then generate a control command based on the governor parameter adjustment amount and the flow rate adjustment value of the water turbine;

[0203] Step Three: Linkage control for the emergency shutdown scenario;

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

[0205] Step 3: The control execution module generates corresponding control instructions through the central control module to operate and process the equipment distributed at various key positions of the hydropower station.

[0206] This embodiment constructs a complete distributed intelligent scenario linkage control system for a hydropower station and its implementation method. By using the sensor module to collect the operating parameters of equipment at key positions such as the generating unit and the water turbine in real time, and the central control module performs scenario recognition and linkage control analysis based on these parameters, it can accurately judge different operating scenarios such as normal power generation, load regulation, and emergency shutdown, and generate corresponding control instructions. The control execution module operates the equipment according to the instructions. Its beneficial effects are that it realizes the intelligent recognition and precise linkage control of the operating scenarios of the hydropower station, ensures the stable and efficient operation of the hydropower station, improves the ability of the hydropower station to cope with different working conditions, meets the grid demand and ensures the safety of the equipment.

[0207] Embodiment 2

[0208] Please refer to Figure 1 and Figure 2 As shown, as Embodiment 2 of the present invention, when this application is specifically implemented, compared with Embodiment 1, the technical solution of this embodiment is only different from that of Embodiment 1 and Embodiment 2 in that in this embodiment:

[0209] Before the scenario recognition and analysis, the operating parameters collected by the sensor module for the equipment corresponding to each key position in the hydropower station are also filtered to remove noise interference;

[0210] The filtering method is as follows:

[0211] In this embodiment, the moving average filtering method is used for filtering;

[0212] The operating parameters collected for the equipment corresponding to each key position in the hydropower station are formed into a parameter sequence {G i，j}, where i = 1, 2,... n, j = 1, 2,... m, n represents the number of acquisition timestamps corresponding to the operating parameters, and m represents the number of equipment corresponding to the key positions;

[0213] Then through;

[0214] Calculate the filtered operating parameter G0 of the equipment corresponding to the jth key position at the ith acquisition timestamp i，j ;

[0215] where k is the preset size of the sliding window, t is the serial number of the sliding window, is the floor symbol;

[0216] Embodiment 2: On the basis of Embodiment 1, this embodiment adds a step of performing moving average filtering on the operating parameters collected by the sensor. By forming a sequence of the collected operating parameters over time and using the moving average filtering formula to remove noise interference, more accurate operating parameters are obtained. The beneficial effect of this improvement is to improve the quality of the data, reduce the influence of noise on subsequent scene recognition and analysis, enable the system to make decisions based on more reliable data, thereby enhancing the stability and reliability of the entire control system, and avoiding misjudgment and misoperation caused by noisy data.

[0217] Embodiment 3

[0218] Please refer to Figure 1 and Figure 2 As shown in, as Embodiment 3 of the present invention, in the specific implementation of this application, compared with Embodiment 1 and Embodiment 2, the technical solution of this embodiment is to combine the solutions of the above Embodiment 1 and Embodiment 2. The difference between the technical solution of this embodiment and Embodiment 1 and Embodiment 2 is only that in this embodiment, the flow rate is adjusted by controlling the opening of the gate, and the relationship between the gate opening and the flow rate is determined through multiple experiments during the installation and commissioning of the hydropower station equipment and during the daily operation; the specific method is as follows:

[0219] In multiple experiments, collect multiple groups of gate opening values and turbine flow rate values;

[0220] Then, the change relationship between the governor parameter values is represented by the linear fitting equation y = ex + f;

[0221] Then, solve e and f in the linear fitting equation by the least squares method;

[0222] Then, substitute the flow rate value that needs to be increased or decreased into the linear fitting equation y = cx + d, and obtain the gate opening;

[0223] Embodiment 3: This embodiment combines Embodiment 1 and Embodiment 2 and innovates in the flow rate adjustment method by controlling the gate opening to adjust the flow rate. The linear relationship between the gate opening and the flow rate is determined through multiple experiments during the equipment installation and commissioning and daily operation, and then the gate opening is obtained based on the flow rate requirement. Its beneficial effect is to provide a new flow rate adjustment method, which may control the flow rate more precisely and efficiently under certain working conditions compared with the traditional adjustment method, optimize the water flow conditions for the operation of the turbine, and contribute to further improving the power generation efficiency and equipment operation stability of the hydropower station.

[0224] Example 4

[0225] Please refer to Figure 1 and Figure 2 As shown, as Example 4 of the present invention, in the specific implementation of this application, compared with Example 1, Example 2, and Example 3, the technical solution of this example lies in the combined implementation of the solutions of the above-mentioned Example 1, Example 2, and Example 3.

[0226] Example 4: Example 4 integrates the solutions of Examples 1, 2, and 3. It not only has the basic functions of real-time collecting operation parameters, intelligently identifying scenarios, and linkage control, but also ensures data quality through filtering processing, and also adopts the method of adjusting the flow rate by controlling the opening of the gate. The beneficial effect of this comprehensive solution is to comprehensively integrate the advantages of each example, optimize from aspects such as data collection, analysis and processing to flow rate adjustment control, and provide a more perfect, intelligent, and reliable distributed intelligent scenario linkage control system for the hydropower station, ensuring the safe, stable, and efficient operation of the hydropower station to the greatest extent.

[0227] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to obtain a formula closest to the actual situation. The preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.

[0228] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claimed rights.

Claims

1. A method for implementing a distributed intelligent scene linkage control system for a hydropower station, characterized in that: The following steps are involved: Step 1: Use the sensor module to collect the operating parameters of the generator set and turbine in the hydropower station in real time. The operating parameters include the speed and power of the generator set, and the flow and pressure of the turbine. Step 2: The central control module receives the operating parameters of the corresponding equipment at each key position of the hydropower station, and then the central control module performs scene recognition analysis based on the operating parameters, extracts the key features of the corresponding equipment at each key position from the operating parameters, and then judges the current operating scene of the hydropower station based on the extracted key features. After that, the central control module performs linkage control analysis based on the scene recognition analysis results, and generates corresponding control instructions based on the linkage control analysis results. The control instructions include adjusting the output power of the generator set, controlling the guide vane opening of the turbine, and opening and closing the gate; Step 3: The control execution module generates corresponding control instructions through the central control module to operate the equipment distributed in various key locations of the hydropower station.

2. The method for implementing the distributed intelligent scene linkage control system of a hydropower station according to claim 1 is characterized in that: in, Key features include: Speed ​​change rate, power change trend, flow pressure ratio; The speed change rate is extracted as follows: In the specified period, the speed parameter of the generator set is collected through the sensor module and marked as Z e ; Then through: Calculate the speed change rate ZB; In the formula, T1 is the duration of the specified cycle, It is the interval between two adjacent acquisition time points of the sensor module; The power variation trend is extracted as follows: In the specified period, the power parameters of the generator set are collected through the sensor module and marked as P e , e=1, 2, … v, v represents the number of acquisition time points in a specified period; Then through: Calculate the power change trend PQ; The flow pressure ratio is extracted as follows: In the specified period, the flow rate and pressure values ​​at the turbine inlet pipe are collected through the sensor module and marked as L e and Y e ; Then through: Calculate the flow-pressure ratio LY.

3. The method for implementing the distributed intelligent scene linkage control system of a hydropower station according to claim 2 is characterized in that: The running scene judgment method is as follows: Step S.3.1, feature threshold extraction: Extract the preset speed change rate threshold ZB according to 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 interval [LY y1 , L.Y. y2 ]; among which: LY y1 <LY y2 ; At the same time, the speed Z of the motor group is extracted e , power P e , the flow rate of the turbine L e , Pressure Y e The corresponding preset speed threshold interval [Z min , Z max ], power threshold interval [P min , P max ], flow threshold interval [L min , L max ] and pressure threshold interval [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 respectively compared with the speed change rate threshold ZB y , Power change trend threshold PQ y , flow pressure ratio threshold interval [LY y1 , L.Y. y2 ] are compared with the thresholds in: When |ZB|≤ZB y 、|PQ|≤PQ y LY y1 ≤LY≤LY y2 When all of them are established, it is determined that the current operation scenario of the hydropower station is in the normal power generation scenario; On the contrary, when |ZB|>ZB y 、|PQ|>PQ y ,LY<LY y1 ,LY>LY y2 When at least one comparison formula is established, it is determined that the current operation scenario of the hydropower station is in the load regulation scenario; Then, according to the speed Z of the motor group e , power P e , the flow rate of the turbine L e , Pressure Y e Respectively with the speed threshold interval [Z min , Z max ], power threshold interval [P min , P max ], flow threshold interval [L min , L max ] and pressure threshold interval [Y min , Y max ] for comparison; Then extract the speed Z e Not in the speed threshold range [Z min , Z max ] The number and power P e Not in the power threshold range [P min , P max ], extraction flow L e Not in the flow threshold range [L min , L max ], extraction pressure Y e Not in the pressure threshold range [Y min , Y max ] and marked them 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 When at least one comparison formula is established, it is determined that the current operation scenario of the hydropower station is in an emergency shutdown scenario.

4. The method for implementing the distributed intelligent scene linkage control system of a hydropower station according to claim 3 is characterized in that: The linkage control analysis method is as follows: Step 1: Normal power generation scene linkage control: When the operation scenario of the hydropower station is a normal power generation scenario, the power demand of the power grid is obtained, and the total power of all generator sets corresponding to each key position of the hydropower station is extracted. Then, the total power adjustment amount that meets the power grid demand is calculated by subtracting the total power from the demand power; then, the power adjustment amount of each generator set is calculated according to the rated power of each generator set; then, the guide vane opening adjustment amount of the turbine is determined according to the power adjustment amount of the generator set; then, the power adjustment amount of each generator set and the guide vane opening adjustment amount of the turbine are used to generate corresponding control instructions; Step 2: Load regulation scene linkage control: When the operation scenario of the hydropower station is a load regulation scenario, the speed regulator parameters of the generator set are adjusted according to the speed change rate and its corresponding speed regulator parameter adjustment amount; the power adjustment amount Pt of each generator set is c Compare with the preset change threshold PYt: If Pt c >PYt and Pt c >0, it means that the grid load is reduced, and the flow of the turbine is reduced accordingly; if Pt c <-PYt and Pt c When <0, it means that the grid load increases, and the flow of the turbine increases accordingly; then the governor parameter adjustment amount and the gate opening are generated as control instructions; Step 3: Emergency shutdown scene linkage control: When the operation scenario of the hydropower station is an emergency shutdown scenario, a control instruction is generated to close the steam inlet valve or water inlet valve of the generator set; at the same time, a control instruction is generated to close the guide vanes of the turbine.

5. The method for implementing the distributed intelligent scene linkage control system of a hydropower station according to claim 4 is characterized in that: The power regulation amount is calculated as: Where Pt c is the power regulation of each generator set, EP c is the rated power of each generator set, c=1, 2, ... w, and w is the total number of all generator sets corresponding to each key position of the hydropower station.

6. The method for implementing the distributed intelligent scene linkage control system of a hydropower station according to claim 4 is characterized in that: in, The guide vane opening adjustment amount is determined as follows: During the installation and commissioning of hydropower station equipment and daily operation, several experiments were carried out, specifically: Under different working conditions, change the guide vane opening of the turbine and record the corresponding generator set power data; Then, the linear fitting equation y=ax+b is used to express the changing relationship between the turbine guide vane opening and the generator set power; Then, a and b in the linear fitting equation are solved by the least square method; Then, the current power of the generator set plus its corresponding power adjustment amount is substituted into the linear fitting equation y=ax+b, and the adjusted turbine guide vane opening is obtained; Then, the difference between the adjusted guide vane opening of the turbine and the current guide vane opening of the turbine is calculated, that is, the guide vane opening adjustment amount of the turbine is obtained.

7. The method for implementing a distributed intelligent scene linkage control system for a hydropower station according to claim 4, characterized in that: in, The speed regulator parameter adjustment amount is obtained as follows: During the installation and commissioning of hydropower station equipment and daily operation, multiple experiments were conducted and multiple sets of speed change rates and governor parameter values ​​were collected; Then the linear fitting equation y=cx+d is used to express the changing relationship between the speed regulator parameter values; Then, c and d in the linear fitting equation are solved by the least square method; Then, the speed change rate of the generator set is substituted into the linear fitting equation y=cx+d, and the adjusted governor parameter value is obtained; Then, the difference between the adjusted speed regulator parameter value and the current speed regulator parameter value is calculated to obtain the speed regulator parameter adjustment amount.

8. The method for implementing a distributed intelligent scene linkage control system for a hydropower station according to claim 4, characterized in that: in, The flow regulation value of the water turbine is specifically to first determine the guide vane opening adjustment value of the water turbine according to the power regulation value of the generator set, and then determine the flow regulation value of the water turbine according to the guide vane opening adjustment value of the water turbine; The flow regulation value of the turbine is determined as follows: During the installation and commissioning of hydropower station equipment and daily operation, several experiments were carried out, specifically: Under different working conditions, change the guide vane opening of the turbine and record the corresponding flow data of the turbine; Then the linear fitting equation y=px+q is used to express the changing relationship between the turbine guide vane opening and the turbine flow rate; Then, p and q in the linear fitting equation are solved by 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; Then, the difference between the adjusted turbine flow and the current turbine flow is calculated to obtain the turbine flow adjustment value.

9. The method for implementing the distributed intelligent scene linkage control system of a hydropower station according to claim 8, characterized in that: in, The flow rate is regulated by controlling the gate opening. The relationship between the gate opening and the flow rate is determined by multiple experiments during the installation and commissioning of the hydropower station equipment and daily operation. The specific methods are as follows: In multiple experiments, multiple sets of gate opening values ​​and turbine flow values ​​were collected; Then the linear fitting equation y=ex+f is used to express the changing relationship between the speed regulator parameter values; Then, e and f in the linear fitting equation are solved by the least square method; Then, the flow value that needs to be increased or decreased is substituted into the linear fitting equation y=cx+d, and the gate opening is obtained.

10. 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 claimed in any one of claims 1 to 9, characterized in that: The system includes: The sensor module is used to collect the operating parameters of the corresponding equipment distributed at various key locations of the hydropower station in real time; The central control module is used to receive the operating parameters of the corresponding equipment distributed at various key locations of the hydropower station, and then perform scene recognition analysis based on the operating 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 instructions based on the linkage control analysis results; The control execution module is used to operate the equipment distributed in various key locations of the hydropower station according to the control instructions; The data communication module is used to realize data transmission between the corresponding devices at various key positions of the hydropower station and the central control module, and between the corresponding devices at various key positions by adopting a communication method combining wireless and wired communication.

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