High-reliability water head treatment method and device

Abstract

The high-reliability water head processing method comprises the steps that S1, upstream and downstream water levels and water flow are collected in real time through a distributed sensor network, and the opening degree of a guide vane of a speed regulator is controlled in real time through output equipment; s2, constructing a redundancy acquisition system and a power supply system; s3, executing a water head redundancy acquisition algorithm based on the redundancy acquisition system; s4, judging the locking data by an operator, determining which data should be used, and unlocking the required data for use after determination; s5, performing comprehensive calculation on the obtained water head signal WTRHEAD and the water flow, predicting a future water head change trend by using an algorithm, dynamically adjusting the guide vane opening based on a prediction result, and optimizing the power generation efficiency; s6, if the calculated power and the optimal value of the generator are in a given range, inputting data into a database to serve as the basis of the next optimal solution; according to the invention, the treatment of water head sudden change is added, and the safety of water head signals is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of water head processing, in particular to a high-reliability water head processing method and device. Background Art

[0002] The speed governor is a critical actuator in a hydropower station and the core of the unit's active power regulation. The hydraulic head signal provides a crucial reference for the governor's active power regulation and is crucial for its proper regulation. Currently, most hydropower stations utilize traditional hydraulic head processing methods, specifically: upstream and downstream water level signals are hardwired into the monitoring system's shared local control unit (LCU). The unit's local control unit (LCU) then calculates the difference between the upstream and downstream water level signals and transmits the hydraulic head signal to the speed governor via analog measurement. This approach presents the following issues: (1) When a public LCU collects upstream and downstream water level signals and uses only one water level acquisition circuit to collect water head, if there is a problem with the water level acquisition signal on that circuit, it cannot be switched, which directly affects the water head signal provided to the speed regulator. (2) Traditional head treatment systems rely on a single sensor and controller, which can easily lead to control failure due to hardware failure or communication interruption; (3) Lack of dynamic prediction capabilities and inability to respond to extreme working conditions in advance. Summary of the Invention

[0003] The purpose of the present invention is to overcome the above-mentioned shortcomings and provide a high-reliability water head processing method and device to solve the problems raised in the background technology.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is: a high-reliability water head processing method, comprising the following steps: S1, collects upstream and downstream water levels and water flow in real time through a distributed sensor network, and uses output devices to control the governor guide vane opening in real time; S2. Build a redundant data acquisition system and power supply system, set up three water level signal acquisition channels: the water regime system channel, the public system channel, and the manual setting channel. Define the judgment priority order as: water regime system channel > public system channel > manual setting channel. S3, executing a water head redundant acquisition algorithm based on the redundant acquisition system; S4. The operator determines which data should be used and then unlocks the data. If the operator determines that all data cannot be used, the operator manually sets the data. S5. Comprehensively calculate the obtained water head signal WTRHEAD and water flow, use the algorithm to predict the future water head change trend, and dynamically adjust the guide vane opening based on the prediction results to optimize power generation efficiency; S6. If the calculated power and the optimal value of the generator are within a given range, the data is input into the database as a basis for the next optimal solution.

[0005] Preferably, in step S1, the upstream water level sensor is installed upstream of the reservoir, and the downstream water level sensor is installed downstream of the reservoir. The water level signal is input into the public LCU controller through the analog input module and transmitted to the plant level server and the unit LCU controller via network communication.

[0006] Preferably, the step S3 specifically includes the following steps: S31, the unit LCU controller receives three water level signals and channel quality status, and calculates the water head value WTRHEAD1 of the water system and the water head value WTRHEAD2 of the public system. The three water level signals include the upstream water level WTRLVL_UP and downstream water level WTRLVL_DOWN manually set at the water system, the public system, and the station level. S32, comparing the difference WTRLVL_DIFF between WTRHEAD1 and WTRHEAD2; wherein, the water head value of the water regime system WTRHEAD1 = WTRLVL_UP1 - WTRLVL_DOWN1; the water head value of the public system WTRHEAD2 = WTRLVL_UP2 - WTRLVL_DOWN2; S33. If | WTRLVL_DIFF| ≤ the preset threshold WTRLVL_GIVEN, it means that both data are reliable, and the average value of the two is taken as the effective water head value WTRHEAD, that is, WTRHEAD = (WTRHEAD1 + WTRHEAD2) / 2; S34. If | WTRLVL_DIFF| > WTRLVL_GIVEN, it indicates that there is a large deviation between the two data, triggering an alarm and simultaneously locking the WTRLVL_UP1, WTRLVL_UP2, WTRLVL_DOWN1, and WTRLVL_DOWN2 data, keeping the last valid water head value WTRHEAD unchanged.

[0007] Preferably, in said S31, the channel quality status is judged by whether the upstream water level WTRLVL_UP is less than the maximum threshold WTRLVL_MAX and whether the upstream and downstream water level signal channels are normal. When the water level value is credible and the signal channel is normal, the subsequent difference comparison logic is triggered.

[0008] Preferably, the S5 specifically includes the following steps: S51, storing historical water head and generator output power data in a database; S52, calculating the water head data for the next 30 minutes based on the measured water flow; S53, calculating the rate of change of the water head. If the rate of change of the water head exceeds a threshold, it indicates that the reservoir has released water or other abnormal conditions have occurred, and the water head signal is locked. If the rate of change is stable, the Lagrangian difference algorithm is used to approximate the optimal power output value APWR based on historical data in the database. S54. Send APWR to the speed regulator as a basis for power regulation.

[0009] Preferably, in step S53, the Lagrangian difference algorithm calculates the optimal power output value by the following formula: ; Among them, the basis function ; x is the current head value, x i is the value of the ith water head data point in the database that is close to the current water head value, f(x i ) is the corresponding power output value.

[0010] In addition, the present invention also discloses a water head treatment device for realizing the above-mentioned high-reliability water head treatment method, comprising the following parts: The upstream water level sensor is installed upstream of the reservoir to collect the water level upstream of the reservoir; The downstream water level sensor is installed at the downstream of the reservoir to collect the water level of the reservoir; A common LCU controller includes a CPU module and an analog input module, wherein the analog input module is connected to the upstream water level sensor and the downstream water level sensor to receive upstream water level and downstream water level signals; Water condition system server, used to collect and process water level information; The plant-level server is connected to the public LCU controller and the water system server via a network communication method, and is used to receive upstream and downstream water level signals from the public LCU controller and upstream and downstream water level information from the water system server; The unit LCU controller includes a CPU module and an analog output module, and is connected to the plant-level server via network communication. It is used to receive the upstream and downstream water level signals of the water condition system sent by the plant-level server, the upstream and downstream water level signals collected by the public LCU, and the upstream and downstream water level signals set on the plant-level human-machine interface, and to select the water head signal that needs to be sent to the speed regulator through an algorithm; The speed regulator controller includes a CPU module and an analog input module. The analog input module is connected to the analog output module of the unit LCU controller and is used to receive the water head signal sent by the unit LCU controller and adjust the unit active power according to the water head signal.

[0011] Preferably, the unit LCU controller has a built-in redundant acquisition module for implementing priority discrimination and difference comparison logic of the three water level signal channels, and triggering an alarm and locking the data when the channel data deviation exceeds a threshold.

[0012] Preferably, the unit LCU controller has a built-in prediction and regulation module, which calculates the optimal power output value based on historical head and power data through a Lagrange difference algorithm and sends it to the speed regulator controller through an analog output module.

[0013] Preferably, a redundant power supply system is further included to provide dual power input for the upstream water level sensor, downstream water level sensor, common LCU controller, unit LCU controller and speed regulator controller to ensure the reliability of data acquisition and control.

[0014] Beneficial effects of the present invention: (1) The present invention adopts multi-channel signal input, which can significantly improve the security and reliability of the signal; (2) The present invention improves the program's discrimination method. Under the same conditions, the original one input channel is increased to three, which greatly improves the reliability of the water head. (3) The present invention increases the processing of water head mutations and improves the safety of water head signals; (4) The principle of the present invention is simple, the method is easy to understand, and it has strong feasibility. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 Schematic diagram of a high-reliability water head treatment method; Figure 2 Schematic diagram for comparing the original water head processing algorithm and the water head processing algorithm of the present invention; Figure 3 The figure is a structural diagram of a water head processing device for realizing a reliable water head processing method. DETAILED DESCRIPTION

[0016] The present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.

[0017] Example 1: Figure 1 As shown, a high reliability water head processing method includes the following steps: S1, collects upstream and downstream water levels and water flow in real time through a distributed sensor network, and uses output devices to control the governor guide vane opening in real time; S2. Build a redundant data acquisition system and power supply system, set up three water level signal acquisition channels: the water regime system channel, the public system channel, and the manual setting channel. Define the judgment priority order as: water regime system channel > public system channel > manual setting channel. S3, executing a water head redundant acquisition algorithm based on the redundant acquisition system; S4. The operator determines which data should be used and then unlocks the data. If the operator determines that all data cannot be used, the operator manually sets the data. S5. Comprehensively calculate the obtained water head signal WTRHEAD and water flow, use the algorithm to predict the future water head change trend, and dynamically adjust the guide vane opening based on the prediction results to optimize power generation efficiency; S6. If the calculated power and the optimal value of the generator are within a given range, the data is input into the database as a basis for the next optimal solution.

[0018] Preferably, in step S1, the upstream water level sensor is installed upstream of the reservoir, and the downstream water level sensor is installed downstream of the reservoir. The water level signal is input into the public LCU controller through the analog input module and transmitted to the plant level server and the unit LCU controller via network communication.

[0019] Preferably, the step S3 specifically includes the following steps: S31, the unit LCU controller receives three water level signals and channel quality status, and calculates the water head value WTRHEAD1 of the water system and the water head value WTRHEAD2 of the public system. The three water level signals include the upstream water level WTRLVL_UP and downstream water level WTRLVL_DOWN manually set at the water system, the public system, and the station level. S32, comparing the difference WTRLVL_DIFF between WTRHEAD1 and WTRHEAD2; wherein, the water head value of the water regime system WTRHEAD1 = WTRLVL_UP1 - WTRLVL_DOWN1; the water head value of the public system WTRHEAD2 = WTRLVL_UP2 - WTRLVL_DOWN2; S33. If | WTRLVL_DIFF| ≤ the preset threshold WTRLVL_GIVEN, it means that both data are reliable, and the average value of the two is taken as the effective water head value WTRHEAD, that is, WTRHEAD = (WTRHEAD1 + WTRHEAD2) / 2; S34. If | WTRLVL_DIFF| > WTRLVL_GIVEN, it indicates that there is a large deviation between the two data, triggering an alarm and simultaneously locking the WTRLVL_UP1, WTRLVL_UP2, WTRLVL_DOWN1, and WTRLVL_DOWN2 data, keeping the last valid water head value WTRHEAD unchanged.

[0020] Preferably, in said S31, the channel quality status is judged by whether the upstream water level WTRLVL_UP is less than the maximum threshold WTRLVL_MAX and whether the upstream and downstream water level signal channels are normal. When the water level value is credible and the signal channel is normal, the subsequent difference comparison logic is triggered.

[0021] Preferably, the S5 specifically includes the following steps: S51, storing historical water head and generator output power data in a database; S52, calculating the water head data for the next 30 minutes based on the measured water flow; S53, calculating the rate of change of the water head. If the rate of change of the water head exceeds a threshold, it indicates that the reservoir has released water or other abnormal conditions have occurred, and the water head signal is locked. If the rate of change is stable, the Lagrangian difference algorithm is used to approximate the optimal power output value APWR based on historical data in the database. S54. Send APWR to the speed regulator as a basis for power regulation.

[0022] Preferably, in step S53, the Lagrangian difference algorithm calculates the optimal power output value by the following formula: ; Among them, the basis function ; x is the current head value, x i is the value of the ith water head data point in the database that is close to the current water head value, f(x i ) is the corresponding power output value.

[0023] like Figure 2 As shown, it is a comparative diagram of the original head processing algorithm and the head processing algorithm of Example 1. Example 1 of the present invention improves the judgment method of the program. Under the same conditions, the original one input channel is increased to three, which greatly improves the reliability of the head; it increases the processing of head mutations and increases the security of the head signal.

[0024] Example 2: Figure 3 As shown, this embodiment discloses a water head treatment device for implementing the above-mentioned high-reliability water head treatment method, including the following parts: Upstream water level sensor 1, installed at the upstream position of the reservoir, used to collect the water level upstream of the reservoir; Downstream water level sensor 2, installed at the downstream position of the reservoir, used to collect the water level downstream of the reservoir; The public LCU controller 3 includes a CPU module 31 and an analog input module 32. The analog input module 32 is connected to the upstream water level sensor 1 and the downstream water level sensor 2 to receive upstream water level and downstream water level signals. Water condition system server 4, used to collect and process water level information; The plant-level server 5 is connected to the public LCU controller 3 and the water system server 4 via a network communication method, and is used to receive the upstream and downstream water level signals from the public LCU controller 3 and the upstream and downstream water level information from the water system server 4; The unit LCU controller 6, including a CPU module 61 and an analog output module 62, is connected to the plant-level server 5 via network communication, and is used to receive the upstream and downstream water level signals of the water condition system sent by the plant-level server 5, the upstream and downstream water level signals collected by the public LCU, and the upstream and downstream water level signals set on the plant-level human-machine interface, and to select the water head signal that needs to be sent to the speed regulator through an algorithm; The speed regulator controller 7 includes a CPU module 71 and an analog input module 72. The analog input module 72 is connected to the analog output module 62 of the unit LCU controller 6 and is used to receive the water head signal sent by the unit LCU controller 6 and adjust the active power of the unit according to the water head signal.

[0025] Preferably, the unit LCU controller 6 has a built-in redundant acquisition module for realizing priority discrimination and difference comparison logic of three water level signal channels: water system, public system, and manual. When the channel data deviation exceeds the threshold, an alarm is triggered and the data is locked.

[0026] Preferably, the unit LCU controller 6 has a built-in prediction and regulation module, which calculates the optimal power output value based on historical head and power data through a Lagrange difference algorithm and sends it to the speed regulator controller 7 through the analog output module 62 .

[0027] Preferably, a redundant power supply system is also included to provide dual power input for the upstream water level sensor 1, downstream water level sensor 2, common LCU controller 3, unit LCU controller 6 and speed regulator controller 7 to ensure the reliability of data acquisition and control.

[0028] The above embodiments are merely preferred technical solutions of the present invention and should not be construed as limiting the present invention. The scope of protection of the present invention shall be the technical solutions set forth in the claims, including equivalent alternatives to the technical features of the technical solutions set forth in the claims. In other words, equivalent alternatives and improvements within this scope are also within the scope of protection of the present invention.

Claims

1. A high-reliability water head processing method, characterized by: The following steps are involved: S1, collects upstream and downstream water levels and water flow in real time through a distributed sensor network, and uses output devices to control the governor guide vane opening in real time; S2. Build a redundant data acquisition system and power supply system, set up three water level signal acquisition channels: the water regime system channel, the public system channel, and the manual setting channel. Define the judgment priority order as: water regime system channel > public system channel > manual setting channel. S3, executing a water head redundant acquisition algorithm based on the redundant acquisition system; S4. The operator determines which data should be used and then unlocks the data. If the operator determines that all data cannot be used, the operator manually sets the data. S5. Comprehensively calculate the obtained water head signal WTRHEAD and water flow, use the algorithm to predict the future water head change trend, and dynamically adjust the guide vane opening based on the prediction results to optimize power generation efficiency; S6. If the calculated power and the optimal value of the generator are within a given range, the data is input into the database as a basis for the next optimal solution.

2. A high reliability water head processing method according to claim 1, characterized in that: In step S1, the upstream water level sensor is installed upstream of the reservoir, and the downstream water level sensor is installed downstream of the reservoir. The water level signal is input into the public LCU controller through the analog input module and transmitted to the plant server and the unit LCU controller via network communication.

3. A high reliability water head processing method according to claim 1, characterized in that: The S3 specifically includes the following steps: S31, the unit LCU controller receives three water level signals and channel quality status, and calculates the water head value WTRHEAD1 of the water system and the water head value WTRHEAD2 of the public system. The three water level signals include the upstream water level WTRLVL_UP and downstream water level WTRLVL_DOWN manually set at the water system, the public system, and the station level. S32, comparing the difference WTRLVL_DIFF between WTRHEAD1 and WTRHEAD2; wherein, the water head value of the water regime system WTRHEAD1 = WTRLVL_UP1 - WTRLVL_DOWN1; the water head value of the public system WTRHEAD2 = WTRLVL_UP2 - WTRLVL_DOWN2; S33. If | WTRLVL_DIFF| ≤ the preset threshold WTRLVL_GIVEN, it means that both data are reliable, and the average value of the two is taken as the effective water head value WTRHEAD, that is, WTRHEAD = (WTRHEAD1 + WTRHEAD2) / 2; S34. If | WTRLVL_DIFF| > WTRLVL_GIVEN, it indicates that there is a large deviation between the two data, triggering an alarm and simultaneously locking the WTRLVL_UP1, WTRLVL_UP2, WTRLVL_DOWN1, and WTRLVL_DOWN2 data, keeping the last valid water head value WTRHEAD unchanged.

4. A high reliability water head processing method according to claim 1, characterized in that: In S31, the channel quality status is determined by whether the upstream water level WTRLVL_UP is less than the maximum threshold WTRLVL_MAX and whether the upstream and downstream water level signal channels are normal. When the water level value is reliable and the signal channel is normal, the subsequent difference comparison logic is triggered.

5. A high reliability water head processing method according to claim 1, characterized in that: The S5 specifically includes the following steps: S51, storing historical water head and generator output power data in a database; S52, calculating the water head data for the next 30 minutes based on the measured water flow; S53, calculating the rate of change of the water head. If the rate of change of the water head exceeds a threshold, it indicates that the reservoir has released water or other abnormal conditions have occurred, and the water head signal is locked. If the rate of change is stable, the Lagrangian difference algorithm is used to approximate the optimal power output value APWR based on historical data in the database. S54. Send APWR to the speed regulator as a basis for power regulation.

6. A high reliability water head processing method according to claim 5, characterized in that: In step S53, the Lagrangian difference algorithm calculates the optimal power output value using the following formula: ； Among them, the basis function ; x is the current head value, x i is the value of the ith water head data point in the database that is close to the current water head value, f(x i ) is the corresponding power output value.

7. A water head treatment device for implementing the high-reliability water head treatment method according to any one of claims 1 to 6, characterized in that: Includes the following sections: An upstream water level sensor (1) is installed at an upstream position of the reservoir and is used to collect the water level upstream of the reservoir; A downstream water level sensor (2) is installed at a downstream position of the reservoir and is used to collect the water level downstream of the reservoir; A common LCU controller (3) includes a CPU module (31) and an analog input module (32), wherein the analog input module (32) is connected to the upstream water level sensor (1) and the downstream water level sensor (2) for receiving upstream water level and downstream water level signals; A water condition system server (4), used for collecting and processing water level information; The plant-station layer server (5) is connected to the public LCU controller (3) and the water condition system server (4) via a network communication method, and is used to receive upstream and downstream water level signals from the public LCU controller (3) and upstream and downstream water level information from the water condition system server (4); The unit LCU controller (6) includes a CPU module (61) and an analog output module (62), which is connected to the plant-station layer server (5) via a network communication method, and is used to receive the upstream and downstream water level signals of the water condition system sent by the plant-station layer server (5), the upstream and downstream water level signals collected by the public LCU, and the upstream and downstream water level signals set on the plant-station layer human-machine interface, and to select the water head signal that needs to be sent to the speed regulator through an algorithm; The speed regulator controller (7) includes a CPU module (71) and an analog input module (72), wherein the analog input module (72) is connected to the analog output module (62) of the unit LCU controller (6) and is used to receive a water head signal sent by the unit LCU controller (6) and adjust the unit active power according to the water head signal.

8. The water head treatment device according to claim 7, characterized in that: The unit LCU controller (6) has a built-in redundant acquisition module for realizing priority discrimination and difference comparison logic of three water level signal channels (water condition system, public system, manual), and triggering an alarm and locking the data when the channel data deviation exceeds the threshold.

9. The water head treatment device according to claim 7, characterized in that: The unit LCU controller (6) has a built-in prediction and regulation module, which calculates the optimal power output value based on historical head and power data through the Lagrange difference algorithm and sends it to the speed regulator controller (7) through the analog output module (62).

10. The water head treatment device according to claim 7, characterized in that: It also includes a redundant power supply system for providing dual power inputs for the upstream water level sensor (1), the downstream water level sensor (2), the common LCU controller (3), the unit LCU controller (6) and the speed regulator controller (7), thereby ensuring the reliability of data acquisition and control.

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