Small hydropower station flexible transformation method and system based on water-light complementation

Abstract

The invention discloses a small hydropower station flexible transformation method and system based on water-light complementation, and relates to the technical field of hydropower station transformation, and the method comprises the steps: evaluating the state of a small hydropower station, and making a transformation plan according to the current situation of the hydropower station and photovoltaic resources; the most suitable technical scheme is selected based on the transformation plan, and a photovoltaic system is integrated; according to the transformation scheme, speed change equipment and photovoltaic system equipment are selected, and speed change transformation work of the hydropower station is carried out; variable-speed hydroelectric equipment and a photovoltaic system are integrated with an energy management system, and system debugging is carried out; and according to the initial operation data, system setting is adjusted, and cooperation of hydroelectric power generation and photovoltaic power generation is optimized. According to the small hydropower station flexible transformation method based on water-light complementation, the overall utilization efficiency of energy is improved. And the influence of the hydropower station on the surrounding environment is reduced. And the stability and adaptability of the hydropower station under different environments and operation conditions are enhanced. And economic benefits and environmental protection are balanced.

Description

Technical Field

[0001] The present invention relates to the technical field of hydropower station reconstruction, and in particular to a method and system for flexible reconstruction of a small hydropower station based on water-photovoltaic complementarity. Background Art

[0002] Hydropower is the clean and renewable energy with the earliest development and the most mature technology. Although great achievements have been made in the construction of small hydropower in China, due to the small reservoir capacity, the operation of small hydropower stations is greatly affected by seasonal water inflow, and the power generation efficiency of hydropower units fluctuates seasonally, which has an adverse effect on the stable power output of hydropower stations. At present, most of the small hydropower units put into operation in hydropower stations are synchronous generators with DC excitation. In order to meet the grid connection conditions, the generator speed must be kept at the synchronous speed. The operating conditions of the unit are determined by the load and the head, and the adjustment range is very small. In addition, conventional turbine units can only have the best performance and maximum output power under the designed head. When the head changes greatly, the operating conditions of the unit will deteriorate, resulting in a series of problems such as reduced power generation efficiency, aggravated unit vibration, and impeller cavitation wear.

[0003] Therefore, there is an urgent need for a flexible transformation method of small hydropower stations based on water-solar complementarity to solve the problems of insufficient efficiency and poor environmental adaptability of existing hydropower stations. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problems solved by the present invention are: the existing hydropower station operation method has the problems of low energy utilization and poor environmental adaptability, and how to effectively integrate the photovoltaic system to improve the overall energy efficiency.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: A flexible transformation method of a small hydropower station based on water-solar complementarity, comprising:

[0007] Assess the status of small hydropower stations and develop a transformation plan based on the current status of the hydropower stations and photovoltaic resources;

[0008] Select the most suitable technical solution based on the renovation plan and integrate the photovoltaic system;

[0009] According to the transformation plan, select speed-changing equipment and photovoltaic system equipment to carry out speed-changing transformation of the hydropower station;

[0010] Integrate variable speed hydropower equipment and photovoltaic systems with energy management systems and conduct system commissioning;

[0011] Based on preliminary operating data, adjust system settings to optimize the coordination of hydropower and photovoltaic power generation.

[0012] As a preferred solution of the flexible transformation method of a small hydropower station based on water-photovoltaic complementarity described in the present invention, wherein: the evaluation of the status of the small hydropower station includes collecting the operating data of the hydropower station, preprocessing the operating data, establishing a digital twin model of the hydropower station, monitoring the real-time status of all key components of the hydropower station, deploying a sensor network, and real-time monitoring of the performance indicators of key equipment of the hydropower station. The historical operating data and real-time monitoring data are deeply analyzed by machine learning algorithms to identify the performance degradation and potential failure points of the equipment, and the solar energy resources are analyzed using remote sensing technology and GIS to determine the integration potential of the photovoltaic system.

[0013] As a preferred solution of the flexible transformation method of a small hydropower station based on water-photovoltaic complementarity described in the present invention, wherein: the combination of the current status of the hydropower station and the photovoltaic resources is expressed as:

[0014]

[0015]

[0016] Q p =LSTM(Q h ,ΔQ h )+ARIMA(Q h )

[0017] min Q,ω [λ1·C(Q p ,ω)-λ2·R(P g (Q p ),P pv )+λ3·D(Q p ,ω)

[0018]

[0019] Among them, P t represents the turbine power, η t represents the turbine efficiency, ρ represents the water density, g represents the acceleration of gravity, H(t) represents the time variable head, Q(t) represents the time variable flow, K p represents the proportional control gain, Q s Indicates the preset flow target, P g represents the generator power, η g Indicates the generator efficiency, K d The damping coefficient of the speed deviation, ω represents the actual speed, ω s Indicates the set speed, Q p represents the predicted water flow, Q h represents the historical water flow, ΔQ hrepresents the historical traffic change rate, LSTM represents the long short-term memory network, ARIMA represents the autoregressive integrated moving average model, λ1, λ2, λ3 represent weight factors, C represents energy consumption, R represents energy output efficiency, D represents failure risk, P pv represents photovoltaic output, E represents environmental impact, and f e Function representing the impact of water flow on the environment, g e The function represents the environmental impact of photovoltaic output, T represents the evaluation time range, and dt represents the time differential element.

[0020] As a preferred solution of the flexible transformation method of a small hydropower station based on water-photovoltaic complementarity described in the present invention, wherein: the formulation of the transformation plan includes performing principal component analysis on the results of the optimization objective function and the data of the environmental impact E, extracting key features, applying the K-means clustering algorithm to classify the features, identifying different operating modes, using association rule learning technology, exploring the relationship between different features and modes, performing dynamic weight adjustment, and formulating a transformation plan based on the analysis results;

[0021] The formulation of the transformation plan includes judging as a high-efficiency and environmentally friendly state A1 when the result C of the optimization objective function is the first interval of energy consumption, R is the first interval of energy output efficiency failure risk, D is the first interval and E is the first interval of environmental impact; judging as a high-efficiency and non-environmentally friendly state A2 when the result C of the optimization objective function is the second interval of energy consumption, R is the second interval of energy output efficiency failure risk, D is the second interval and E is the second interval of environmental impact; and judging as an inefficient state A3 when the result C of the optimization objective function is the third interval of energy consumption or R is the third interval of energy output efficiency failure risk.

[0022] As a preferred solution of the flexible transformation method of a small hydropower station based on water-photovoltaic complementarity described in the present invention, wherein: the integrated photovoltaic system includes performing sunshine analysis on A1-level sites, determining the optimal photovoltaic panel layout position, selecting photovoltaic panels with high conversion efficiency, achieving maximum energy collection, using low light reflection and environmentally friendly materials for A2-level sites, implementing ecological impact assessments, integrating the most cost-effective photovoltaic solutions for A3-level sites, and optimizing the angle and direction of photovoltaic panels;

[0023] Unify the planning of electrical wiring and energy management systems, install intelligent controllers, coordinate the energy flow between hydropower and photovoltaic systems, and conduct system integration testing.

[0024] As a preferred solution of the flexible transformation method of a small hydropower station based on water-photovoltaic complementarity described in the present invention, the system debugging includes conducting a simulated load test, evaluating the performance of the photovoltaic system and the hydropower station when working together, conducting an emergency response test on the electrical connection and control system, and implementing an environmental adaptability test. According to the test results, the objective function control algorithm is optimized to optimize energy efficiency.

[0025] As a preferred solution of the flexible transformation method of a small hydropower station based on water-photovoltaic complementarity described in the present invention, the adjustment of system settings includes using data analysis tools to optimize energy management strategies based on historical operating data and prediction models, realize dynamic energy allocation, deploy sensors and monitoring systems, collect operating data of hydropower stations and photovoltaic systems in real time, analyze data using machine learning algorithms, and adjust system settings in real time to adapt to changing environments and operating conditions.

[0026] Another object of the present invention is to provide a flexible transformation system for small hydropower stations based on water-photovoltaic complementarity, which can solve the problems of low energy efficiency and poor environmental adaptability through intelligent integration and optimized control.

[0027] To solve the above technical problems, the present invention provides the following technical solutions: a flexible transformation system of a small hydropower station based on water-photovoltaic complementarity, comprising: a status evaluation module, a system integration module, a speed change transformation module, a system debugging module and a system optimization module; the status evaluation module is used to evaluate the status of the small hydropower station, and formulate a transformation plan in combination with the current status of the hydropower station and photovoltaic resources; the system integration module is used to select the most suitable technical solution based on the transformation plan and integrate the photovoltaic system; the speed change transformation module is used to select speed change equipment and photovoltaic system equipment according to the transformation plan, and carry out speed change transformation of the hydropower station; the system debugging module is used to integrate the speed change hydropower equipment and the photovoltaic system with the energy management system, and carry out system debugging; the system optimization module is used to adjust the system settings according to the preliminary operation data, and optimize the coordination of hydropower and photovoltaic power generation.

[0028] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the flexible transformation method of a small hydropower station based on water-photovoltaic complementarity as described above are implemented.

[0029] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the flexible transformation method of a small hydropower station based on water-photovoltaic complementarity as described above are implemented.

[0030] Beneficial effects of the invention: The flexible transformation method of a small hydropower station based on water-photovoltaic complementarity provided by the invention improves the overall efficiency of energy utilization by optimizing the integration of the hydropower station and the photovoltaic system. The impact of the hydropower station on the surrounding environment is reduced through intelligent control and environmentally friendly photovoltaic system design. The stability and adaptability of the hydropower station under different environments and operating conditions are enhanced through advanced control algorithms and real-time monitoring systems. For hydropower stations of different levels, a cost-effective solution is provided, balancing economic benefits and environmental protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0032] Figure 1 An overall flow chart of a method for flexible transformation of a small hydropower station based on water-photovoltaic complementarity provided by an embodiment of the present invention.

[0033] Figure 2 An overall structural diagram of a flexible transformation system for a small hydropower station based on water-photovoltaic complementarity provided in the second embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0035] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0036] Example 1

[0037] Reference Figure 1 , which is an embodiment of the present invention, provides a flexible transformation method of a small hydropower station based on water-solar complementarity, comprising:

[0038] Assess the status of small hydropower stations and develop a transformation plan based on the current status of the hydropower stations and photovoltaic resources.

[0039] Based on the renovation plan, the most suitable technical solution is selected to integrate the photovoltaic system.

[0040] According to the transformation plan, speed change equipment and photovoltaic system equipment are selected to carry out speed change transformation work of the hydropower station.

[0041] Integrate variable speed hydropower equipment and photovoltaic systems with energy management systems and conduct system commissioning.

[0042] Based on preliminary operating data, adjust system settings to optimize the coordination of hydropower and photovoltaic power generation.

[0043] Assessing the status of small hydropower stations includes collecting operating data of the hydropower station, preprocessing the operating data, establishing a digital twin model of the hydropower station, monitoring the real-time status of all key components of the hydropower station, deploying a sensor network, and monitoring the performance indicators of key equipment of the hydropower station in real time. Using machine learning algorithms to conduct in-depth analysis of historical operating data and real-time monitoring data, identify performance degradation and potential failure points of equipment, use remote sensing technology and GIS to analyze solar energy resources, and determine the integration potential of photovoltaic systems.

[0044] Combining the status quo of hydropower stations and photovoltaic resources, it can be expressed as:

[0045]

[0046]

[0047] Q p =LSTM(Q h ,ΔQ h )+ARIMA(Q h )

[0048] min Q,ω [λ1·C(Q p ,ω)-λ2·R(P g (Q p ),P pv )+λ3·D(Q p ,ω)

[0049]

[0050] Among them, P t represents the turbine power, η t represents the turbine efficiency, ρ represents the water density, g represents the acceleration of gravity, H(t) represents the time variable head, Q(t) represents the time variable flow, K p represents the proportional control gain, Q s Indicates the preset flow target, P g represents the generator power, η g Indicates the generator efficiency, K dThe damping coefficient of the speed deviation, ω represents the actual speed, ω s Indicates the set speed, Q p represents the predicted water flow, Q h represents the historical water flow, ΔQ h represents the historical traffic change rate, LSTM represents the long short-term memory network, ARIMA represents the autoregressive integrated moving average model, λ1, λ2, λ3 represent weight factors, C represents energy consumption, R represents energy output efficiency, D represents failure risk, P pv represents photovoltaic output, E represents environmental impact, and f e Function representing the impact of water flow on the environment, g e The function represents the environmental impact of photovoltaic output, T represents the evaluation time range, and dt represents the time differential element.

[0051] Formulating a transformation plan includes performing principal component analysis on the results of the optimization objective function and the data of the environmental impact E, extracting key features, applying the K-means clustering algorithm to classify the features, identifying different operating modes, using association rule learning technology to explore the relationship between different features and modes, and dynamically adjusting the weights. Based on the analysis results, formulating a transformation plan; formulating a transformation plan includes judging the high-efficiency and environmentally friendly state A1 when the result C of the optimization objective function is the first interval of energy consumption, R is the first interval of energy output efficiency failure risk, D is the first interval, and E is the first interval of environmental impact; judging the high-efficiency but non-environmentally friendly state A2 when the result C of the optimization objective function is the second interval of energy consumption, R is the second interval of energy output efficiency failure risk, D is the second interval, and E is the second interval of environmental impact; and judging the low-efficiency state A3 when the result C of the optimization objective function is the third interval of energy consumption or R is the third interval of energy output efficiency failure risk.

[0052] The integrated photovoltaic system includes conducting sunshine analysis for A1-level sites to determine the optimal location for photovoltaic panels, selecting photovoltaic panels with high conversion efficiency to achieve maximum energy collection, using low light reflection and environmentally friendly materials for A2-level sites, implementing ecological impact assessments, integrating the most cost-effective photovoltaic solutions for A3-level sites, and optimizing the angle and direction of photovoltaic panels;

[0053] PV system integration for A1-level sites: Conduct detailed sunshine analysis and use geographic information system (GIS) and sun path simulation software to determine the best PV panel layout location. Select PV panels with the highest photoelectric conversion efficiency and consider the impact of local climate conditions (temperature and humidity) on PV panel performance. Design PV panel mounting structures to allow angle adjustment to maximize energy capture in different seasons.

[0054] PV system integration for A2-level sites: Use PV materials with low light reflection and eco-friendly properties to reduce disturbance to wildlife. Implement a comprehensive ecological impact assessment to consider the potential impact of the PV system on the local ecosystem (soil, water resources, and biodiversity). Design a PV layout that is harmonious with the surrounding environment to reduce visual and environmental impact.

[0055] PV system integration for A3-level sites: Analyze and compare different types of PV solutions, and select the most suitable PV panels and related equipment from the perspective of cost and performance. Optimize the angle and direction of PV panels, and use software simulation to determine the best configuration in different seasons and weather conditions. For economical PV solutions, consider integrating simplified energy storage and management systems.

[0056] Unify the planning of electrical wiring and energy management systems, install intelligent controllers, coordinate the energy flow between hydropower and photovoltaic systems, and conduct system integration testing.

[0057] Unified planning of electrical wiring and energy management systems: Design an integrated electrical wiring solution to ensure the safety and efficiency of all components, including photovoltaic panels, inverters, energy storage devices and other distribution equipment. Implement advanced energy management systems, including intelligent software to achieve optimal distribution and monitoring of energy flows.

[0058] Installation of intelligent controllers and system integration testing: Install intelligent controllers to control and coordinate the energy flow between the hydropower station and the photovoltaic system to ensure efficient coordination of the two systems under different operating modes. Implement system integration testing, including functional testing of each component, system stability and efficiency testing.

[0059] System debugging includes conducting simulated load tests, evaluating the performance of the photovoltaic system and hydropower station when working together, conducting emergency response tests on electrical connections and control systems, implementing environmental adaptability tests, and optimizing the objective function control algorithm based on the test results to optimize energy efficiency.

[0060] Optimizing the objective function control algorithm includes analyzing the simulated load test results: evaluating the collaborative performance of the PV system and the hydropower plant under different load conditions. Adjusting the water flow prediction model, LSTM and ARIMA, to improve Q p accuracy.

[0061] Analyze the responsiveness of electrical connections and control systems under extreme and rapidly changing conditions. Optimize the speed control algorithm and adjust K d Environmental adaptability test analysis: According to the impact of environmental conditions (such as temperature, humidity, and light) on system performance, adjust the environmental impact model. Update f e and g e Function to reflect the effect of environment variables on Pt and P pv Objective function optimization: Re-evaluate and adjust the optimization objective function, taking into account the adjusted Q p , control system parameters and environmental impact models. Adjust weight factors λ1, λ2, λ3 to balance C, R and D. Apply the updated model for simulation tests to verify the accuracy and reliability of the model. Re-rating based on the simulation test results.

[0062] Adjusting system settings includes using data analysis tools to optimize energy management strategies based on historical operating data and predictive models, achieving dynamic energy allocation, deploying sensors and monitoring systems, collecting operating data of hydropower stations and photovoltaic systems in real time, using machine learning algorithms to analyze data, and adjusting system settings in real time to adapt to changing environments and operating conditions.

[0063] The autoregressive moving average (ARMA) model is used to process the historical energy consumption and output data of the hydropower station and photovoltaic system to predict future energy demand patterns. Combined with the artificial neural network weather forecasting system, the next temperature, sunshine and rainfall conditions are predicted to predict solar radiation and water flow. The hydropower and photovoltaic output are automatically adjusted according to the real-time data of power demand and supply. The hydropower output is reduced when the photovoltaic capacity is high, and the hydropower output is increased when the photovoltaic capacity is low. The integrated battery storage system determines the optimal battery charging and discharging time through data analysis to balance the energy supply and demand during the day and night. Flow velocity sensors and temperature sensors are deployed in the hydropower station, and light intensity sensors and temperature sensors are deployed in the photovoltaic system to monitor the system operation status in real time. These sensors are connected to the central control system through the Internet of Things technology to upload data in real time. The support vector machine (SVM) algorithm is deployed in the central control system to analyze the sensor and historical data to identify the patterns and trends of the system operation. The SVM algorithm is used to predict the energy demand and supply in the short term and optimize the power generation strategy. The operating parameters of the hydropower station and photovoltaic system are dynamically adjusted based on the real-time data and the prediction of the SVM algorithm. The power output of the turbine and the tilt angle of the photovoltaic panel are adjusted. When system performance deviates from expectations, control parameters are automatically adjusted to restore to optimal operating conditions.

[0064] Example 2

[0065] Reference Figure 2 , which is an embodiment of the present invention, provides a flexible transformation system for a small hydropower station based on water-photovoltaic complementarity, including: a state assessment module, a system integration module, a speed change transformation module, a system debugging module and a system optimization module.

[0066] The status assessment module is used to assess the status of small hydropower stations and formulate a transformation plan based on the current status of the hydropower stations and photovoltaic resources.

[0067] The system integration module is used to select the most suitable technical solution based on the transformation plan and integrate the photovoltaic system.

[0068] The speed change transformation module is used to select speed change equipment and photovoltaic system equipment according to the transformation plan and carry out speed change transformation of the hydropower station.

[0069] The system debugging module is used to integrate variable speed hydropower equipment and photovoltaic systems with the energy management system for system debugging.

[0070] The system optimization module is used to adjust system settings and optimize the coordination of hydropower and photovoltaic power generation based on preliminary operating data.

[0071] Example 3

[0072] An embodiment of the present invention is different from the first two embodiments in that:

[0073] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0074] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0075] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection having one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and editable read-only memory,

[0076] (EPROM or flash memory), fiber optic devices, and portable compact disk read only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0077] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0078] Example 4

[0079] As an embodiment of the present invention, a flexible transformation method of a small hydropower station based on water-photovoltaic complementarity is provided. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0080] Two small hydropower station sites were selected that were located in the same geographical location and had similar water source conditions and sunshine patterns.

[0081] Time period: The simulation experiment lasted for one year to collect full-year operation data.

[0082] Data collection: Energy output (hydropower and photovoltaic), number of system failures, maintenance costs, and environmental impact indicators (water quality and ecological impact) were monitored. The experimental results are shown in Table 1.

[0083] Table 1 Comparison of experimental results

[0084]

[0085] Traditional sites do not fully utilize available solar resources due to the lack of integrated PV systems, and their total annual energy output is lower than that of improved sites. Traditional sites experience more system failures due to aging equipment and lack of advanced control systems. Traditional sites have higher annual maintenance costs due to frequent failures and aging equipment. Due to lower energy output and higher maintenance costs, traditional sites are less economical than improved sites.

[0086] Our inventions have improved sites that utilize solar energy more efficiently and increase total energy output by integrating photovoltaic systems. Improved sites use advanced control systems and more modern equipment, which reduces the occurrence of system failures. Fewer failures and more effective maintenance strategies result in lower maintenance costs for improved sites than for traditional sites. Improved sites are economically superior to traditional sites due to higher energy output and lower maintenance costs.

[0087] Taking all the above into consideration, our invention has shown significant advantages in improving the operating efficiency and economic benefits of small hydropower stations. Compared with traditional methods, our invention not only increases energy output by integrating photovoltaic systems, but also improves the overall stability of the system and reduces maintenance costs. These improvements directly lead to higher economic benefits.

[0088] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A flexible transformation method for a small hydropower station based on water-solar complementarity, characterized in that: include: Assess the status of small hydropower stations and develop a transformation plan based on the current status of the hydropower stations and photovoltaic resources; Select the most suitable technical solution based on the renovation plan and integrate the photovoltaic system; According to the transformation plan, select speed-changing equipment and photovoltaic system equipment to carry out speed-changing transformation of the hydropower station; Integrate variable speed hydropower equipment and photovoltaic systems with energy management systems and conduct system commissioning; Based on preliminary operating data, adjust system settings to optimize the coordination of hydropower and photovoltaic power generation.

2. The flexible transformation method of a small hydropower station based on water-solar complementarity as claimed in claim 1 is characterized by: The described assessment of the status of a small hydropower station includes collecting operating data of the hydropower station, preprocessing the operating data, establishing a digital twin model of the hydropower station, monitoring the real-time status of all key components of the hydropower station, deploying a sensor network, and monitoring the performance indicators of key equipment of the hydropower station in real time. The use of machine learning algorithms to conduct in-depth analysis of historical operating data and real-time monitoring data can identify performance degradation and potential failure points of equipment, and use remote sensing technology and GIS to analyze solar energy resources and determine the integration potential of photovoltaic systems.

3. The flexible transformation method of a small hydropower station based on water-solar complementarity as claimed in claim 2 is characterized by: The combination of the current status of the hydropower station and photovoltaic resources is expressed as: Q p =LSTM(Q h ,ΔQ h )+ARIMA(Q h ) minutes Q，ω [λ1·C(Q p ,ω)-λ2·R(P g (Q p ),P pv )+λ3·D(Q p ,oh) Among them, P t represents the turbine power, η t represents the turbine efficiency, represents the density of water, g represents the acceleration of gravity, H(t) represents the time variable head, Q(t) represents the time variable flow, K p represents the proportional control gain, Q s Indicates the preset flow target, P g represents the generator power, η g Indicates the generator efficiency, K d The damping coefficient of the speed deviation, ω represents the actual speed, ω s Indicates the set speed, Q p represents the predicted water flow, Q h represents the historical water flow, ΔQ h represents the historical traffic change rate, LSTM represents the long short-term memory network, ARIMA represents the autoregressive integrated moving average model, λ1, λ2, λ3 represent weight factors, C represents energy consumption, R represents energy output efficiency, D represents failure risk, P pv represents photovoltaic output, E represents environmental impact, and f e Function representing the impact of water flow on the environment, g e The function represents the environmental impact of photovoltaic output, T represents the evaluation time range, and dt represents the time differential element.

4. The flexible transformation method of a small hydropower station based on water-photovoltaic complementarity as claimed in claim 3 is characterized by: The formulation of the transformation plan includes performing principal component analysis on the results of the optimization objective function and the data of the environmental impact E, extracting key features, classifying the features using the K-means clustering algorithm, identifying different operating modes, using association rule learning technology to explore the relationship between different features and modes, performing dynamic weight adjustment, and formulating a transformation plan based on the analysis results; The formulation of the transformation plan includes judging as a high-efficiency and environmentally friendly state A1 when the result C of the optimization objective function is the first interval of energy consumption, R is the first interval of energy output efficiency failure risk, D is the first interval and E is the first interval of environmental impact; judging as a high-efficiency and non-environmentally friendly state A2 when the result C of the optimization objective function is the second interval of energy consumption, R is the second interval of energy output efficiency failure risk, D is the second interval and E is the second interval of environmental impact; and judging as an inefficient state A3 when the result C of the optimization objective function is the third interval of energy consumption or R is the third interval of energy output efficiency failure risk.

5. The flexible transformation method of a small hydropower station based on water-photovoltaic complementarity as claimed in claim 4 is characterized by: The integrated photovoltaic system includes conducting sunshine analysis for A1-level sites to determine the optimal photovoltaic panel layout location, selecting photovoltaic panels with high conversion efficiency to achieve maximum energy collection, using low light reflection and environmentally friendly materials for A2-level sites, implementing ecological impact assessments, integrating the most cost-effective photovoltaic solutions for A3-level sites, and optimizing the angle and direction of photovoltaic panels; Unify the planning of electrical wiring and energy management systems, install intelligent controllers, coordinate the energy flow between hydropower and photovoltaic systems, and conduct system integration testing.

6. The flexible transformation method of a small hydropower station based on water-solar complementarity as claimed in claim 5, characterized in that: The system debugging includes conducting simulated load tests, evaluating the performance of the photovoltaic system and the hydropower station when working together, conducting emergency response tests on electrical connections and control systems, implementing environmental adaptability tests, and optimizing the objective function control algorithm based on the test results to optimize energy efficiency.

7. The flexible transformation method of a small hydropower station based on water-solar complementarity as claimed in claim 6 is characterized by: The adjustment of system settings includes using data analysis tools to optimize energy management strategies based on historical operating data and predictive models, realizing dynamic energy allocation, deploying sensors and monitoring systems, collecting operating data of hydropower stations and photovoltaic systems in real time, analyzing data using machine learning algorithms, and adjusting system settings in real time to adapt to changing environments and operating conditions.

8. A system using the flexible transformation method of a small hydropower station based on water-photovoltaic complementarity as described in any one of claims 1 to 7, characterized in that: include: Status assessment module, system integration module, speed change transformation module, system debugging module and system optimization module; The status assessment module is used to assess the status of the small hydropower station and formulate a transformation plan based on the current status of the hydropower station and photovoltaic resources; The system integration module is used to select the most suitable technical solution based on the transformation plan and integrate the photovoltaic system; The speed change transformation module is used to select speed change equipment and photovoltaic system equipment according to the transformation plan to carry out speed change transformation work of the hydropower station; The system debugging module is used to integrate the variable speed hydropower equipment and the photovoltaic system with the energy management system to perform system debugging; The system optimization module is used to adjust system settings and optimize the coordination of hydropower and photovoltaic power generation based on preliminary operation data.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for flexible transformation of a small hydropower station based on water-photovoltaic complementarity described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for flexible transformation of a small hydropower station based on water-photovoltaic complementarity described in any one of claims 1 to 7 are implemented.

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