Hydropower station flood discharge power generation operation regulation and control system

Abstract

The invention provides a flood discharge and power generation operation regulation and control system for a hydropower station, and relates to the technical field of hydropower stations. The data preprocessing module is used for receiving the operation data and preprocessing the operation data; and the calculation module is used for carrying out analysis according to the preprocessed operation data so as to obtain the predicted inflow water amount and the predicted power load demand, and carrying out further calculation to obtain the opening degree of the flood discharge gate. The inflow water amount and the power load demand are predicted according to the preprocessed reservoir operation data; constructing an objective function by using a multi-objective optimization method according to the predicted inflow, the predicted power load demand and the environmental influence value, and calculating the opening degree of the flood discharge gate; the negative influence on the environment is reduced, the stability and the operation benefit of the hydropower station are improved, and the response speed and the adjustment precision of the hydropower station under different load requirements are improved.

Description

Technical Field

[0001] This application relates to the technical field of hydropower stations, and particularly to a flood discharge and power generation operation regulation system for a hydropower station. Background Art

[0002] With the continuous increase in global energy demand and the growing pressure of environmental protection, hydropower generation, as a clean and renewable energy form, has become an important part of the energy supply systems of various countries. With the continuous expansion of the scale of hydropower stations, especially during the flood season, how to reasonably regulate the operation of hydropower stations to cope with extreme weather and water flow changes has become an urgent problem to be solved. Existing systems still have certain limitations when dealing with sudden situations such as complex weather changes and extreme floods. Existing dispatching systems often rely on traditional preset models and manual intervention, lacking sufficient flexibility and intelligence level. Summary of the Invention

[0003] This application aims to solve at least one of the technical problems in the related technologies to some extent.

[0004] To this end, the first object of this application is to propose a flood discharge and power generation operation regulation system for a hydropower station.

[0005] The second object of this application is to propose an electronic device.

[0006] To achieve the above object, an embodiment of the first aspect of this application proposes a flood discharge and power generation operation regulation system for a hydropower station, including: a reservoir data acquisition module, a data preprocessing module, a data storage module, a calculation module, and a visualization module;

[0007] The reservoir data acquisition module is used to acquire the operation data of the reservoir;

[0008] The data preprocessing module is used to receive the operation data and preprocess the operation data;

[0009] The calculation module is used to analyze the preprocessed operation data to obtain the predicted inflow water volume and the predicted power load demand, and further calculate the opening degree of the flood discharge gate;

[0010] The data storage module is used to store the preprocessed operation data and the opening degree of the flood discharge gate, and set security access measures;

[0011] The visualization module is used to construct a visualization interface to display the opening degree of the flood discharge gate and the operation data.

[0012] Optionally, the reservoir data acquisition module includes:

[0013] A water level monitoring module, which is used to collect water level height data using a radar water level gauge;

[0014] A flow velocity monitoring module for collecting water flow velocity using a Doppler flowmeter;

[0015] A load demand acquisition module for collecting power load demand from a power system;

[0016] A power acquisition module for collecting real-time power generation using an intelligent meter;

[0017] A precipitation acquisition module for collecting precipitation data using a weather radar;

[0018] A basin area detection module for collecting basin area data using a GIS tool, wherein the water level height data, water flow velocity, power load demand, real-time power generation, precipitation data, and basin area data are all the operation data.

[0019] Optionally, the data preprocessing module includes:

[0020] A data unification module for unifying the time of the collected operation data using the time alignment method;

[0021] A data filling module for determining the missing values in the operation data and filling the missing values through an interpolation algorithm;

[0022] A denoising module for removing noise from the operation data using a filtering algorithm;

[0023] A normalization processing module for performing normalization processing on the operation data.

[0024] Optionally, the calculation module includes:

[0025] A model training module for inputting historical inflow water volume and power load demand, as well as the corresponding historical operation data, into a neural network model for training to obtain the weights and biases of the model;

[0026] A prediction module for inputting the currently collected operation data into the trained neural network model for inference to obtain the predicted inflow water volume and predicted power load demand.

[0027] Optionally, the calculation module further includes:

[0028] A function construction module for constructing an objective function based on the predicted inflow water volume, predicted power load, and environmental impact value, where the objective function represents the gap between the predicted inflow water volume and the current inflow water volume, the gap between the predicted power load and the current power generation, and the magnitude of the negative impact on the environment;

[0029] The function optimization module optimizes the objective function with the goal of minimizing the objective function and calculates the opening degree of the flood discharge gate.

[0030] Optionally, the data storage module includes:

[0031] The local storage module is used to locally store the operation data and the opening degree of the flood discharge gate;

[0032] The security module is used to upload the operation data and the opening degree of the flood discharge gate to the cloud for backup and set security access measures;

[0033] The integrity detection module is used to monitor the integrity of the locally and computationally processed data and generate an integrity detection result.

[0034] To achieve the above object, an embodiment of the second aspect of the present application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0035] The memory stores computer-executable instructions;

[0036] The processor executes the computer-executable instructions stored in the memory to implement the system according to any one of the first aspect.

[0037] The hydropower station flood discharge and power generation operation regulation and control system provided by the present application constructs an objective function using a multi-objective optimization method according to the predicted inflow water volume, the predicted power load demand, and the environmental impact value, and calculates the opening degree of the flood discharge gate; it reduces the negative impact on the environment, improves the stability and operation efficiency of the hydropower station, and enhances the response speed and regulation accuracy of the hydropower station under different load demands.

[0038] Additional aspects and advantages of the present application will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present application. Description of the Drawings

[0039] The above and / or additional aspects and advantages of the present application will become apparent and easy to understand from the following description of the embodiments in conjunction with the drawings, where:

[0040] Figure 1 is a schematic structural diagram of a hydropower station flood discharge and power generation operation regulation and control system provided by an embodiment of the present application. Detailed Embodiments

[0041] The embodiments of the present application will be described in detail below. Examples of the embodiments are shown in the drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary and are intended to explain the present application and should not be construed as limiting the present application.

[0042] With the continuous increase in global energy demand and the growing pressure of environmental protection, hydropower, as a clean and renewable energy form, has become an important part of the energy supply systems of various countries. As the scale of hydropower stations continues to expand, especially during the flood season, how to reasonably regulate the operation of hydropower stations to cope with extreme weather and water flow changes has become an urgent problem to be solved. Existing systems still have certain limitations when dealing with sudden situations such as complex weather changes and extreme floods. Existing dispatching systems often rely on traditional preset models and manual intervention, lacking sufficient flexibility and intelligence level. Therefore, it is of great practical significance to develop a new dispatching method and system that can respond to environmental changes in real time and precisely regulate the balance between flood discharge and power generation. The hydropower station flood discharge and power generation operation regulation method and system involved in the present invention collect reservoir operation data and perform preprocessing, predict the inflow water volume and power load demand according to the preprocessed reservoir operation data; construct an objective function using a multi-objective optimization method based on the power generation power, flood discharge flow rate and environmental impact value, calculate the real-time load difference and adjust the opening of the flood discharge gate; reduce the negative impact on the environment, improve the stability and operation efficiency of the hydropower station, and enhance the response speed and regulation accuracy of the hydropower station under different load demands.

[0043] In response to this problem, the embodiment of the present application provides a hydropower station flood discharge and power generation operation regulation system, Figure 1 which is a schematic structural diagram of a hydropower station flood discharge and power generation operation regulation system provided by the embodiment of the present application. As Figure 1 shown, the system includes: a reservoir data acquisition module 10, a data preprocessing module 20, a data storage module 30, a calculation module 40, and a visualization module 50;

[0044] The reservoir data acquisition module is used to acquire the operation data of the reservoir;

[0045] The data preprocessing module is used to receive the operation data and perform preprocessing on the operation data;

[0046] The calculation module is used to analyze the preprocessed operation data to obtain the predicted inflow water volume and the predicted power load demand, and further calculate the opening of the flood discharge gate;

[0047] The data storage module is used to store the preprocessed operation data and the opening of the flood discharge gate, and set security access measures;

[0048] The visualization module is used to construct a visualization interface to display the opening of the flood discharge gate and the operation data.

[0049] Build a visualization interface to display the opening degree and operation data of flood discharge gates. The visualization interface can use forms such as charts, images, maps, etc. to intuitively display the change trends and current status of the data. Users can monitor the operation of the reservoir in real time through the visualization interface and make decisions and operations.

[0050] Optionally, the reservoir data acquisition module includes:

[0051] A water level monitoring module for collecting water level height data using a radar water level gauge;

[0052] Use a radar water level gauge to monitor the water level height of the reservoir in real time. The radar water level gauge measures the time difference of the microwave signal traveling to and from the water surface by transmitting and receiving microwave signals, and then calculates the water level height. This module transmits the water level height data to the data preprocessing module in real time.

[0053] A flow velocity monitoring module for collecting water flow velocity using a Doppler flowmeter;

[0054] Use a Doppler flowmeter to monitor the water flow velocity of the reservoir in real time. The Doppler flowmeter calculates the water flow velocity by measuring the Doppler frequency shift of the particles in the water flow. This module transmits the water flow velocity data to the data preprocessing module in real time.

[0055] A load demand acquisition module for collecting power load demand from the power system;

[0056] Obtain power load demand data from the power system in real time. This module communicates with the data interface of the power system to obtain current and future power load demand information and transmits the data to the data preprocessing module.

[0057] A power acquisition module for collecting real-time power generation using an intelligent meter;

[0058] Use an intelligent meter to monitor the power generation of the hydropower station in real time. The intelligent meter calculates the real-time power generation by measuring parameters such as voltage and current of the generator set. This module transmits the power generation data to the data preprocessing module in real time.

[0059] A precipitation acquisition module for collecting precipitation data using a weather radar;

[0060] Use a weather radar to monitor the precipitation in the basin in real time. The weather radar calculates the precipitation by transmitting and receiving electromagnetic waves and measuring the reflection signal of the precipitation particles. This module transmits the precipitation data to the data preprocessing module in real time.

[0061] The basin area detection module is used to collect basin area data using GIS tools. Among them, the water level height data, water flow velocity, power load demand, real-time power generation power, precipitation data, and basin area data are all the operation data.

[0062] Use GIS tools to monitor the basin area in real time. The GIS tool calculates the area of the basin through satellite remote sensing data and geographic information system. This module transmits the basin area data to the data preprocessing module in real time.

[0063] Optionally, the data preprocessing module includes:

[0064] The data unification module is used to unify the time of the collected operation data using the time alignment method;

[0065] The data filling module is used to determine the missing values in the operation data and fill the missing values through the interpolation algorithm;

[0066] The denoising module is used to remove the noise in the operation data using the filtering algorithm;

[0067] The filtering algorithm can use methods such as low-pass filtering, high-pass filtering, and band-pass filtering to remove high-frequency noise or low-frequency noise in the data.

[0068] The normalization processing module is used to perform normalization processing on the operation data. Normalize the operation data. Normalization processing can use methods such as min-max normalization and Z-score normalization to scale the data to a specific range (such as between 0 and 1).

[0069] Optionally, the calculation module includes:

[0070] The model training module is used to input historical inflow water volume and power load demand, as well as the corresponding historical operation data, into the neural network model for training to obtain the weights and biases of the model;

[0071] The prediction module is used to input the currently collected operation data into the trained neural network model for inference operations to obtain the predicted inflow water volume and predicted power load demand.

[0072] Optionally, the calculation module further includes:

[0073] The function construction module is used to construct an objective function based on the predicted inflow water volume, predicted power load, and environmental impact value. The objective function characterizes the gap between the predicted inflow water volume and the current inflow water volume, the gap between the predicted power load and the current power generation power, and the magnitude of the negative impact on the environment;

[0074] A function optimization module optimizes the objective function with the goal of minimizing the objective function and calculates the opening degree of the flood discharge gate.

[0075] Optionally, the data storage module includes:

[0076] A local storage module for locally storing the operation data and the opening degree of the flood discharge gate;

[0077] A security module for uploading the operation data and the opening degree of the flood discharge gate to the cloud for backup and setting security access measures;

[0078] Upload the operation data and the opening degree of the flood discharge gate to the cloud for backup and set security access measures. The security access measures may include user authentication, permission management, data encryption, etc., to ensure the security and integrity of the data.

[0079] An integrity detection module for monitoring the integrity of the locally and computationally processed data and generating an integrity detection result.

[0080] Monitor the integrity of the local and cloud data and generate an integrity detection result. Integrity detection can use methods such as checksums, hash values, etc., to ensure that the data has not been tampered with or damaged during transmission and storage.

[0081] To implement the above embodiments, the present application also proposes an electronic device, including: a processor, and a memory communicatively connected to the processor; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory to implement the system provided in the foregoing embodiments.

[0082] To implement the above embodiments, the present application also proposes a computer-readable storage medium storing computer execution instructions, and the computer execution instructions are used to implement the system provided in the foregoing embodiments when executed by a processor.

[0083] To implement the above embodiments, the present application also proposes a computer program product including a computer program, and the computer program implements the system provided in the foregoing embodiments when executed by a processor.

[0084] The collection, storage, use, processing, transmission, provision, and disclosure of the user's personal information involved in the present application and other processes all comply with the provisions of relevant laws and regulations and do not violate public order and good customs.

[0085] It should be noted that personal information from users should be collected for legal and reasonable purposes and not shared or sold outside of such legal uses. In addition, such collection / sharing should be carried out after obtaining the informed consent of the users, including but not limited to notifying the users to read the user agreement / user notice and sign an agreement / authorization including authorizing relevant user information before the users use the function. In addition, any necessary steps should be taken to defend and safeguard access to such personal information data and ensure that others with access to the personal information data comply with their privacy policies and procedures.

[0086] This application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, the present disclosure is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by restricting data collection and deleting the data. In addition, when applicable, personal identifiers are removed from such personal information to protect the privacy of users.

[0087] In the description of the foregoing embodiments, the descriptions referring to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic descriptions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0088] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of the present application, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0089] Any process or system description shown in a flowchart or described in other ways herein can be understood as representing a module, segment, or part of code including one or more executable instructions for implementing a customized logic function or process, and the scope of the preferred implementation of the present application includes additional implementations, where the functions can be executed in a manner not shown or discussed, including in a substantially simultaneous manner or in a reverse order according to the involved functions, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0090] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definitional sequence list of executable instructions for implementing logical functions, which can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connection parts with one or more wirings (electronic devices), portable computer disk cartridges (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber devices, and portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other suitable processing as necessary, and then stored in a computer memory.

[0091] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or systems can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one or a combination of the following techniques well-known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having suitable combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0092] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the above-described embodiment system can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the system embodiment.

[0093] In addition, each functional unit in various embodiments of the present application may be integrated into one processing module, may exist physically alone for each unit, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0094] The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disc, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A flood discharge power generation operation control system for a hydropower station, characterized in that: include: Reservoir data acquisition module, data preprocessing module, data storage module, calculation module, visualization module; The reservoir data collection module is used to collect the operation data of the reservoir; The data preprocessing module is used to receive the operation data and preprocess the operation data; The calculation module is used to analyze the pre-processed operation data to obtain the predicted inflow water volume and the predicted power load demand, and further calculate the flood discharge gate opening; The data storage module is used to store the pre-processed operation data and flood gate opening, and set security access measures; The visualization module is used to construct a visualization interface to display the flood discharge gate opening and the operation data.

2. The system according to claim 1, characterized in that The reservoir data acquisition module comprises: A water level monitoring module for collecting water level height data using a radar water level gauge; A flow rate monitoring module for collecting water flow velocity using a Doppler current meter; A load demand collection module is used to collect power load demand from the power system; Power collection module, used to collect real-time power generation using smart meters; Precipitation collection module, used to collect precipitation data using weather radar; The watershed area detection module is used to collect watershed area data using GIS tools, wherein the water level height data, water flow velocity, power load demand, real-time power generation power, precipitation data, and watershed area data are all the operating data.

3. The system according to claim 2, characterized in that The data preprocessing module comprises: A data unification module, used for unifying the time of the collected operation data using a time alignment method; A data filling module, used for determining missing values ​​in the operation data and filling the missing values ​​by an interpolation algorithm; A denoising module, used to remove noise in the operating data by using a filtering algorithm; The normalization processing module is used to perform normalization processing on the operation data.

4. The system according to claim 3, characterized in that The calculation module comprises: The model training module is used to input the historical inflow water volume and power load demand, as well as the corresponding historical operation data, into the neural network model for training to obtain the weight and bias of the model; The prediction module is used to input the currently collected operating data into the trained neural network model for inference calculation to obtain the predicted inflow water volume and predicted power load demand.

5. The system according to claim 4, characterized in that The calculation module also includes: A function construction module, used to construct an objective function according to the predicted water inflow, the predicted power load, and the environmental impact value, wherein the objective function represents the gap between the predicted water inflow and the current water inflow, the gap between the predicted power load and the current power generation, and the magnitude of the negative impact on the environment; The function optimization module optimizes the objective function with the goal of minimizing the objective function, and calculates the flood discharge gate opening.

6. The system according to claim 5, characterized in that The data storage module comprises: A local storage module, used for locally storing the operation data and flood discharge gate opening; A security module, used for uploading the operating data and flood discharge gate opening to a cloud backup and setting security access measures; The integrity detection module is used to monitor the integrity of local and calculated data and generate integrity detection results.

7. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the system according to any one of claims 1 to 6.

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