Floating type photovoltaic power station drainage state monitoring method and system
By installing multiple sensors on floating photovoltaic power stations and building a drainage system efficiency model, the problem of difficulty in accurately monitoring and optimizing the drainage system in the existing technology is solved, and more efficient and stable drainage operation and reduced operation and maintenance costs are achieved.
Patent Information
- Application Number
- CN202410996629.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-24
- Publication Date
- 2025-03-11
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The monitoring methods of existing floating photovoltaic power station drainage systems are difficult to adapt to the complex and changeable water environment, cannot accurately reflect the actual operating efficiency and potential problems of the drainage system, and lack adaptability, making it difficult to cope with the impact of factors such as environmental changes and equipment aging.
By installing multiple sensors (such as flow, pressure, current and water level sensors) to monitor drainage system data in real time, build an efficiency model of the drainage system, and dynamically adjust the drainage device to deal with abnormal situations and environmental changes.
The comprehensive monitoring and real-time evaluation of the drainage system has been achieved, drainage efficiency and system stability have been improved, operation and maintenance costs and safety risks have been reduced, and prevention and handling capabilities for potential problems have been enhanced.
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Figure CN119602692A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of operation and maintenance technology of a floating photovoltaic power station, and in particular to a method and system for monitoring drainage status of a floating photovoltaic power station. Background Art
[0002] As an emerging renewable energy utilization method, floating photovoltaic power stations have been rapidly developed and widely used around the world in recent years. Compared with traditional ground photovoltaic power stations, floating photovoltaic power stations have the advantages of saving land resources and improving power generation efficiency. However, due to its special water installation environment, floating photovoltaic power stations face unique technical challenges, among which the effective operation and management of the drainage system is particularly critical. Traditional drainage status monitoring methods usually rely on simple water level monitoring and fixed threshold triggering. This method is difficult to adapt to the complex and changeable water environment and cannot accurately reflect the actual operating efficiency and potential problems of the drainage system. In addition, existing drainage control strategies often adopt preset fixed modes, lack consideration of the dynamic characteristics of the system, and it is difficult to achieve optimal drainage management.
[0003] With the advancement of sensor technology and data analysis methods, some studies have begun to try to apply more advanced monitoring and control technologies to the drainage system of floating photovoltaic power plants. However, these methods still have many shortcomings in practical applications. For example, the use of single sensor data limits the comprehensiveness and accuracy of system status assessment; the lack of comprehensive consideration of individual differences in drainage devices and the overall efficiency of the system makes it impossible to accurately reflect the actual performance of the drainage system; at the same time, existing methods generally lack adaptive capabilities and are difficult to cope with the impact of factors such as environmental changes and equipment aging. These problems seriously restrict the reliability and efficiency of the drainage system of floating photovoltaic power plants, and increase operation and maintenance costs and safety risks. Summary of the invention
[0004] In view of the problems existing in the safety monitoring of the existing floating photovoltaic power station, the present invention is proposed.
[0005] Therefore, the problem to be solved by the present invention is that the existing method seriously restricts the reliability and efficiency of the drainage system of the floating photovoltaic power station, and increases the operation and maintenance costs and safety risks.
[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:
[0007] In a first aspect, an embodiment of the present invention provides a method for monitoring drainage status of a floating photovoltaic power station, which comprises:
[0008] Determine the efficiency and drainage volume of individual drainage devices based on sensor measurement data;
[0009] constructing an efficiency model of the drainage system according to the efficiency and drainage volume of the single drainage device;
[0010] The drainage status is monitored based on the output result of the efficiency model, abnormal situations are handled, and the drainage device is dynamically adjusted according to the output result of the efficiency model and the drainage status.
[0011] As a preferred solution of the method for monitoring the drainage status of a floating photovoltaic power station according to the present invention, determining the efficiency of the single drainage device includes removing factors that affect the efficiency, as shown in the following formula:
[0012]
[0013] Where η is the efficiency percentage of the pump; Q is the flow rate in cubic meters per second; ΔP is the pressure difference in Pascals; I is the current in amperes; V is the voltage in volts; PF is the power factor; t is the running time of the pump in hours; τ is the characteristic time constant, which indicates the time required for the pump to reach a stable efficiency; T is the current operating temperature in Kelvin; T0 is the rated operating temperature in Kelvin; α is the temperature influence coefficient; β is the temperature influence exponent; γ is the aging coefficient; t0 is the reference time in hours.
[0014] As a preferred solution of the method for monitoring the drainage status of a floating photovoltaic power station according to the present invention, determining the drainage volume of the single drainage device includes removing the influence of pressure and temperature, as shown in the following formula:
[0015]
[0016] Among them, Q opt is the optimized volume flow rate, A is the pipe cross-sectional area, v is the average velocity of the fluid, K c The correction coefficient is used to compensate for the sensor error, a is the fluctuation amplitude coefficient, w is the fluctuation frequency, t is the time, β is the pressure influence coefficient, P is the current pressure, P0 is the standard reference pressure, γ is the temperature influence coefficient, T is the current temperature, and T0 is the reference temperature.
[0017] As a preferred solution of the method for monitoring the drainage status of a floating photovoltaic power station according to the present invention, the efficiency model of the drainage system is constructed,
[0018] weighting the efficiency of said individual drainage devices;
[0019] Add system stabilization time, pressure difference, temperature and water level change factors;
[0020] Determine the weight of each drainage device and build an efficiency model.
[0021] As a preferred solution of the method for monitoring the drainage status of a floating photovoltaic power station according to the present invention, the efficiency model is as follows:
[0022]
[0023] Among them, η system is the efficiency of the overall drainage system; N is the number of pumps; w i is the weight of the i-th pump; η i is the efficiency of the ith pump; Q i is the water output of the ith pump; t is the system operating time; τ is the characteristic time for the system to reach a stable state; k is the pressure response coefficient; ΔP is the total pressure difference of the system; ΔP0 is the rated pressure difference of the system; T is the current average temperature of the system; T0 is the rated operating temperature of the system; α is the temperature influence coefficient; β is the temperature influence index; γ is the water level change influence coefficient; dL / dt is the water level change rate; λ is the weight allocation factor.
[0024] As a preferred solution of the method for monitoring the drainage status of a floating photovoltaic power station according to the present invention, the monitoring of the drainage status includes:
[0025] if This indicates that the system has not yet reached a stable state. Record the system startup time and continue monitoring. Until If the preset maximum waiting time is exceeded and F threshold , judge whether the current water level meets the drainage standards. If it does not meet the standards, it means that the system has been in the start-stop state for a long time and no excessive attention is required. If it meets the standards, further judge the working efficiency and water output of a single drainage device to troubleshoot device failures.
[0026] As a preferred solution of the method for monitoring the drainage status of a floating photovoltaic power station according to the present invention, the abnormal situation processing includes:
[0027] The drainage system determines whether the water level is abnormal based on the measured value of the water level sensor. That is, when the water level in any direction rises above the preset maximum water level, the system considers that the water level in this direction is abnormal. According to the position of the sensor, all drainage devices in this direction are controlled to drain water at full power. If it is found that it has not been relieved within the theoretical drainage time, the water level in the opposite direction is judged. If the two are close, it means that there is no tilt phenomenon and there is no need to speed up the drainage. If the water level in the opposite direction is less than the water level in this direction, a tilt phenomenon is found, and the drainage devices in the two adjacent directions in this direction are controlled to drain water at full power.
[0028] When the water level in all directions is close to the preset maximum water level but has not reached or exceeded it, check whether the water level on the same side is greater than the water level on the other side to determine that a tilt has occurred, and all drainage devices on the side with a higher water level will be started at full power.
[0029] In a second aspect, an embodiment of the present invention provides a floating photovoltaic power station drainage status monitoring system, which includes:
[0030] Data acquisition module, used to collect the operation data of each part of the drainage system in real time and realize data transmission between sensors and central control system;
[0031] An efficiency determination module for determining the efficiency of each drainage device, the drainage volume, and the overall efficiency of the entire drainage system;
[0032] The abnormality monitoring module is used to determine the current operating status of the drainage system, identify water level anomalies and tilt problems, and formulate drainage strategies based on the system status and abnormal conditions.
[0033] In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, any step of the above-mentioned floating photovoltaic power station drainage status monitoring method is implemented.
[0034] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the above-mentioned method for monitoring the drainage status of a floating photovoltaic power station is implemented.
[0035] The beneficial effects of the present invention are that by installing multiple sensors such as flow, pressure, current and water level, comprehensive monitoring of the drainage system is achieved, the accuracy and comprehensiveness of data collection are improved, and the high-precision sensors and wireless communication technology are used to achieve real-time monitoring and evaluation of the performance of the drainage device, which helps to find potential problems in time. Taking into account the particularity of the offshore environment, such as waves, wind, temperature changes and other factors, the drainage efficiency calculation is more accurate and applicable. According to the abnormal water level and inclination, the system can automatically adjust the drainage strategy, improve the ability to respond to emergencies, and through continuous monitoring and analysis, the system can detect potential problems early, provide a basis for preventive maintenance, and reduce the risk of failure. BRIEF DESCRIPTION OF THE DRAWINGS
[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:
[0037] Figure 1 The flowchart of the method for monitoring the drainage status of a floating photovoltaic power station is shown. DETAILED DESCRIPTION
[0038] 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.
[0039] 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.
[0040] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.
[0041] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.
[0042] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.
[0043] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0044] Example 1
[0045] Reference Figure 1 , which is the first embodiment of the present invention, provides a method for monitoring drainage status of a floating photovoltaic power station, comprising:
[0046] Select and install appropriate sensors. For each drainage device, three core sensors are installed, namely flow sensor, pressure sensor and current sensor. The flow sensor uses a high-precision electromagnetic flowmeter or ultrasonic flowmeter, which can accurately measure water flow over a wide range. It is installed on the outlet pipe of the drainage device to monitor the amount of water passing through per second in real time; the pressure sensor uses a corrosion-resistant and anti-interference pressure transmitter, which is installed at the water inlet and outlet of the drainage device to measure the inlet and outlet pressure difference when the water pump is running, to help judge the working status and efficiency of the pump; the current sensor is installed on the power supply line of the drainage device to monitor the energy consumption of the drainage device in real time.
[0047] In addition to these three core sensors, water level sensors are installed in octaves at floating PV plants. These may include:
[0048] Water level sensors around the floating platform: used to monitor external water level changes.
[0049] Water level sensors in drainage basins or water collection areas: used to monitor water accumulation inside.
[0050] Water level sensors in critical areas: used to monitor areas that may affect the safety of power generation equipment.
[0051] All these sensors are connected to the central control system through low-power, high-reliability wireless communication modules such as LoRa or NB-IoT.
[0052] Further, the efficiency and drainage volume of the drainage device are analyzed. For example, in a feasible embodiment, the efficiency and drainage volume of the drainage device are analyzed as follows:
[0053] The most basic flow calculation formula is the average velocity of the fluid multiplied by the cross-sectional area of the pipe. However, during the test, it was found that the sensor had some errors, so a correction coefficient was added to compensate for the measurement results of the flow sensor.
[0054] Since floating photovoltaic power stations are located on the water, they are affected by the periodic effects of waves or wind, and this effect is often continuous and usually follows a sinusoidal distribution:
[0055] Q=K c ·A·v·(1+a·sin(wt))
[0056] Furthermore, the pressure and temperature at sea are different from those in the basic flow calculation formula, and the error is large. In addition, the drainage is basically seawater, which has different density and viscosity from ordinary water sources. The following formula is used to eliminate these effects:
[0057]
[0058] Among them, Q opt is the optimized volume flow rate, A is the pipe cross-sectional area, v is the average velocity of the fluid, K c The correction coefficient is used to compensate for the sensor error, a is the fluctuation amplitude coefficient, w is the fluctuation frequency, t is the time, β is the pressure influence coefficient, P is the current pressure, P0 is the standard reference pressure, γ is the temperature influence coefficient, T is the current temperature, and T0 is the reference temperature.
[0059] When all parameters are in ideal state, Q opt Close to Kc·A·v.
[0060] Furthermore, in floating photovoltaic power stations, since floating photovoltaic power stations usually rely on their own power generation to operate drainage devices to achieve self-sufficiency, the basic efficiency calculation formula is not sufficient to support the calculation, and it is necessary to use the following formula:
[0061]
[0062] Furthermore, considering that the floating photovoltaic power station generates electricity at sea, the drainage system is frequently started and stopped by waves or water level changes, increasing the starting effect to optimize short-term operation, and is exposed to the outdoors and affected by direct sunlight and water temperature changes. Temperature changes will affect the performance and efficiency of the drainage device, as shown in the following formula:
[0063]
[0064] Furthermore, considering the aging of the drainage device, due to environmental issues, the humid environment at sea can easily cause the equipment to age. By simulating the trend of declining efficiency over time, the most accurate result is obtained, as shown in the following formula:
[0065]
[0066] Where η is the efficiency percentage of the pump; Q is the flow rate in cubic meters per second; ΔP is the pressure difference in Pascals; I is the current in amperes; V is the voltage in volts; PF is the power factor; t is the running time of the pump in hours; τ is the characteristic time constant, which indicates the time required for the pump to reach a stable efficiency; T is the current operating temperature in Kelvin; T0 is the rated operating temperature in Kelvin; α is the temperature influence coefficient; β is the temperature influence exponent; γ is the aging coefficient; t0 is the reference time in hours.
[0067] Furthermore, the cumulative drainage volume of each drainage device is tracked and recorded, and the recorded data including timestamp, pump water output, pump efficiency, flow, pressure, current, temperature, water level, etc. are combined into a data packet, and features are extracted and constructed from the raw data.
[0068] Further, based on the data obtained for each drainage device, the efficiency of the overall drainage system is calculated. For example, in a feasible embodiment, the efficiency of the overall drainage system is calculated as follows:
[0069] Specifically, the efficiency of the drainage system is calculated in the form of a formula. First, the weighted average efficiency of each drainage device is calculated according to its efficiency, as follows:
[0070]
[0071] Similarly, even if the sea is rough, the drainage device does not always start draining water. It only needs to drain water when the water level reaches the level that requires drainage. If there is only a small amount of accumulated water and the sunlight on the sea is sufficient to remove the accumulated water, then there is a transition period when drainage needs to be started, and the drainage system can reach a stable state, as follows:
[0072]
[0073] Furthermore, similar to calculating the efficiency of a single drainage device, temperature and pressure are also important factors affecting the efficiency of the drainage system, as follows:
[0074]
[0075] Finally, when the water level drops, it will affect the efficiency of the overall drainage system. For example, if the water level in a certain part drops, its drainage device cannot effectively drain water at full power, as follows:
[0076]
[0077] Among them, η system is the efficiency of the overall drainage system; N is the number of pumps; w i is the weight of the i-th pump; η iis the efficiency of the ith pump; Q i is the water output of the ith pump; t is the system operating time; τ is the characteristic time for the system to reach a stable state; k is the pressure response coefficient; ΔP is the total pressure difference of the system; ΔP0 is the rated pressure difference of the system; T is the current average temperature of the system; T0 is the rated operating temperature of the system; α is the temperature influence coefficient; β is the temperature influence index; γ is the water level change influence coefficient; dL / dt is the water level change rate; λ is the weight allocation factor.
[0078] Furthermore, XGBoost is used to learn the importance weight of each drainage device in a cycle, as follows:
[0079]
[0080] Among them, f(x i ) is the output of the XGBoost model.
[0081] It should be noted that the output of the XGBoost model is expressed in the following formula:
[0082]
[0083] Where M is the number of trees in the XGBoost model; θ m is the weight of the mth tree; h m (x i ) is the output of the mth tree.
[0084] The output of the mth tree is:
[0085]
[0086] Among them, K is the number of features; β mk is the coefficient of the kth feature in the mth tree; x ik is the kth eigenvalue of the ith pump.
[0087] Furthermore, the current drainage system status is determined based on the system's overall efficiency and water level, including:
[0088] Use the model to calculate the current η system , according to the calculated η system , the system efficiency is divided into the following categories:
[0089] a) High efficiency (η system >0.85)
[0090] b) Normal (0.7≤η system ≤0.85)
[0091] c) Inefficiency (0.5≤η) system <0.7)
[0092] d) Danger (η system <0.5)
[0093] Determine the impact of various factors on efficiency based on the current system efficiency status. When the system efficiency is in a low efficiency state, it is necessary to determine which specific part has the impact.
[0094] For example, in a feasible embodiment, the judgment can be made by the following logic:
[0095] if This indicates that the system has not yet reached a stable state. Record the system startup time and continue monitoring. Until If the preset maximum waiting time is exceeded and F threshold , judge whether the current water level meets the drainage standards. If it does not meet the standards, it means that the system has been in the start-stop state for a long time and no excessive attention is required. If it meets the standards, further judge the working efficiency and water output of a single drainage device to troubleshoot device failures.
[0096] F to be explained threshold is the threshold obtained through experiments. When the factor item exceeds this threshold, it means that the system is in a stable operation state. Generally, it is 0.8;
[0097] Furthermore, the drainage system determines whether the water level is abnormal based on the measurement value of the water level sensor. That is, when the water level in any direction rises above the preset maximum water level, the system considers that the water level in this direction is abnormal, and controls all drainage devices in this direction to drain water at full power according to the position of the sensor. If it is found that the situation has not been alleviated within the theoretical drainage time, the water level height in the corresponding opposite direction is judged (such as if the water level in the east is abnormal, check the west). If the two are close, it means that there is no tilt and there is no need to speed up the drainage. If the water level in the opposite direction is less than the water level in this direction, a tilt is detected, and the drainage devices in the two adjacent directions are controlled to drain water at full power.
[0098] When the water level in all directions is close to the preset maximum water level, but has not reached or exceeded it, check whether the water level on the same side is greater than the water level on the other side (for example, when the floating photovoltaic power station is circular, the diameter is the dividing line, the same side is the northeast, east, and southeast directions, and similarly, the other side is the opposite direction), it is determined that the transmission is tilted, and all drainage devices on the side with higher water level are started at full power.
[0099] When the water level in all directions exceeds the preset maximum water level, all drainage devices will be activated at full power.
[0100] It should be noted that the preset maximum water level is the theoretical maximum value at which the water in the floating photovoltaic power station can contact the electronic equipment under the power of the waves.
[0101] Furthermore, this embodiment also provides a floating photovoltaic power station drainage status monitoring system, including:
[0102] Data acquisition module, used to collect the operation data of each part of the drainage system in real time and realize data transmission between sensors and central control system;
[0103] An efficiency determination module for determining the efficiency of each drainage device, the drainage volume, and the overall efficiency of the entire drainage system;
[0104] The abnormality monitoring module is used to determine the current operating status of the drainage system, identify water level anomalies and tilt problems, and formulate drainage strategies based on the system status and abnormal conditions.
[0105] This embodiment also provides a computer device, which is applicable to the method for monitoring the drainage status of a floating photovoltaic power station, and includes a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions to implement the method for monitoring the drainage status of a floating photovoltaic power station proposed in the above embodiment.
[0106] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.
[0107] This embodiment further provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for monitoring the drainage status of a floating photovoltaic power station as proposed in the above embodiment is implemented.
[0108] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be found in the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.
[0109] Example 2
[0110] This is the second embodiment of the present invention. This embodiment provides a method for monitoring the drainage status of a floating photovoltaic power station. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.
[0111] In order to verify the effectiveness of the floating photovoltaic power station drainage status monitoring method of the present invention, a 30-day field test was conducted in a sea area in the South China Sea. The test site selected a floating photovoltaic power station covering an area of about 10,000 square meters. The station has a total of 8 drainage devices distributed in eight directions of the floating platform.
[0112] First, three core sensors were installed on each drainage device: flow sensor, pressure sensor and current sensor. The flow sensor used an electromagnetic flowmeter with an accuracy of ±0.5% and was installed on the outlet pipe of the drainage device; the pressure sensor used a corrosion-resistant and anti-interference pressure transmitter, which was installed at the water inlet and outlet of the drainage device respectively; the current sensor was installed on the power supply line of the drainage device. In addition, a total of 16 water level sensors were installed around the floating platform, drainage pool and critical areas to monitor water level changes in all directions. All sensors are connected to the central control system through the LoRa wireless communication module.
[0113] During the test, the system recorded data every 5 minutes, including parameters such as flow, pressure difference, current, and water level. At the same time, environmental factors such as wind speed, wave height, and water temperature were recorded. In order to evaluate the advantages of the method of the present invention, the test was divided into two stages: the first 15 days used the traditional fixed threshold control method, and the second 15 days used the intelligent drainage status monitoring method of the present invention.
[0114] In the data analysis stage, the optimized flow calculation formula proposed in this invention was first used to consider the effects of waves, pressure and temperature. Then, the efficiency of each drainage device was calculated using the improved efficiency calculation formula. Next, the importance weight of each drainage device was learned using the XGBoost model, and the efficiency of the overall drainage system was calculated based on it. Finally, the state of the drainage system was judged and regulated based on the system efficiency and water level. The following are some key data collected during the test (daily average):
[0115] Table 1 Experimental data table
[0116]
[0117]
[0118] Drainage efficiency significantly improved: From the data, it can be seen that after adopting the method of the present invention (starting from Day 16), the system efficiency quickly increased from 0.58 to 0.72, and reached 0.85 at the end of the test. This significant improvement proves the effectiveness of the method of the present invention in optimizing the operation of the drainage system.
[0119] In the first 15 days of using the traditional method, the number of abnormal events showed an upward trend, increasing from 5 times on Day 1 to 12 times on Day 15. After adopting the method of the present invention, the number of abnormal events dropped rapidly and dropped to 0 times on Day 30. This shows that the method of the present invention can effectively prevent and handle abnormal situations and improve the stability of the system.
[0120] Data show that after adopting the method of the present invention, the average daily energy consumption of the system is reduced from 178kWh to 140kWh, a decrease of 21.3%. This result fully proves the advantage of the method of the present invention in terms of energy efficiency.
[0121] The average water level data shows that after adopting the method of the present invention, the water level is better controlled, reduced from 45 cm to 32 cm, and maintained at a low level. This shows that the method of the present invention can more accurately control the drainage process and effectively prevent the potential harm of water accumulation to photovoltaic equipment.
[0122] In summary, this embodiment fully verifies the significant advantages of the method of the present invention in improving the efficiency of the drainage system of a floating photovoltaic power station, reducing energy consumption, reducing abnormal events and enhancing system stability. Compared with the traditional fixed threshold control method, the present invention realizes intelligent and precise control of the drainage system by comprehensively considering multiple environmental factors, adopting optimized flow and efficiency calculation formulas, and combining machine learning technology. This not only improves the overall performance of the system, but also provides a strong guarantee for the safe operation of floating photovoltaic power stations.
[0123] 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 method for monitoring drainage status of a floating photovoltaic power station, characterized in that: include, Determine the efficiency and drainage volume of individual drainage devices based on sensor measurement data; constructing an efficiency model of the drainage system according to the efficiency and drainage volume of the single drainage device; The drainage status is monitored based on the output result of the efficiency model, abnormal situations are handled, and the drainage device is dynamically adjusted according to the output result of the efficiency model and the drainage status.
2. The method for monitoring drainage status of a floating photovoltaic power station according to claim 1, characterized in that: Determining the efficiency of the individual drain device includes removing factors that affect the efficiency, as shown in the following formula: Where η is the efficiency percentage of the pump; Q is the flow rate in cubic meters per second; ΔP is the pressure difference in Pascals; I is the current in amperes; V is the voltage in volts; PF is the power factor; t is the running time of the pump in hours; τ is the characteristic time constant, which indicates the time required for the pump to reach a stable efficiency; T is the current operating temperature in Kelvin; T0 is the rated operating temperature in Kelvin; α is the temperature influence coefficient; β is the temperature influence exponent; γ is the aging coefficient; t0 is the reference time in hours.
3. The method for monitoring drainage status of a floating photovoltaic power station according to claim 2, characterized in that: Determining the discharge capacity of the single drain device includes removing the effects of pressure and temperature as shown in the following equation: Among them, Q opt is the optimized volume flow rate, A is the pipe cross-sectional area, v is the average velocity of the fluid, K c The correction coefficient is used to compensate for the sensor error, a is the fluctuation amplitude coefficient, w is the fluctuation frequency, t is the time, β is the pressure influence coefficient, P is the current pressure, P0 is the standard reference pressure, γ is the temperature influence coefficient, T is the current temperature, and T0 is the reference temperature.
4. The method for monitoring drainage status of a floating photovoltaic power station according to claim 3, characterized in that: The efficiency model of the drainage system is constructed including: weighting the efficiency of said individual drainage devices; Add system stabilization time, pressure difference, temperature and water level change factors; Determine the weight of each drainage device and build an efficiency model.
5. The method for monitoring drainage status of a floating photovoltaic power station according to claim 4, characterized in that: The efficiency model is shown as follows: Among them, η system is the efficiency of the overall drainage system; N is the number of pumps; w i is the weight of the i-th pump; η i is the efficiency of the ith pump; Q i is the water output of the ith pump; t is the system operating time; τ is the characteristic time for the system to reach a stable state; k is the pressure response coefficient; ΔP is the total pressure difference of the system; ΔP0 is the rated pressure difference of the system; T is the current average temperature of the system; T0 is the rated operating temperature of the system; α is the temperature influence coefficient; β is the temperature influence index; γ is the water level change influence coefficient; dL / dt is the water level change rate; λ is the weight allocation factor.
6. The method for monitoring drainage status of a floating photovoltaic power station according to claim 5, characterized in that: The monitoring of drainage status includes: if This indicates that the system has not yet reached a stable state. Record the system startup time and continue monitoring. Until If the preset maximum waiting time is exceeded and F threshold , judge whether the current water level meets the drainage standards. If it does not meet the standards, it means that the system has been in the start-stop state for a long time and no excessive attention is required. If it meets the standards, further judge the working efficiency and water output of a single drainage device to troubleshoot device failures.
7. The method for monitoring drainage status of a floating photovoltaic power station according to claim 6, characterized in that: The abnormal situation handling includes: The drainage system determines whether the water level is abnormal based on the measured value of the water level sensor. That is, when the water level in any direction rises above the preset maximum water level, the system considers that the water level in this direction is abnormal. According to the position of the sensor, all drainage devices in this direction are controlled to drain water at full power. If it is found that it has not been relieved within the theoretical drainage time, the water level in the opposite direction is judged. If the two are close, it means that there is no tilt phenomenon and there is no need to speed up the drainage. If the water level in the opposite direction is less than the water level in this direction, a tilt phenomenon is found, and the drainage devices in the two adjacent directions in this direction are controlled to drain water at full power. When the water level in all directions is close to the preset maximum water level but has not reached or exceeded it, check whether the water level on the same side is greater than the water level on the other side to determine that a tilt has occurred, and all drainage devices on the side with a higher water level will be started at full power.
8. A floating photovoltaic power station drainage status monitoring system, based on the floating photovoltaic power station drainage status monitoring method according to any one of claims 1 to 7, characterized in that: include, Data acquisition module, used to collect the operation data of each part of the drainage system in real time and realize data transmission between sensors and central control system; An efficiency determination module for determining the efficiency of each drainage device, the drainage volume, and the overall efficiency of the entire drainage system; The abnormality monitoring module is used to determine the current operating status of the drainage system, identify water level anomalies and tilt problems, and formulate drainage strategies based on the system status and abnormal conditions.
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 monitoring the drainage status of a floating photovoltaic power station according to 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 monitoring drainage status of a floating photovoltaic power station according to any one of claims 1 to 7 are implemented.