A method, apparatus, device, and medium for speed control of a pure hydrogen gas turbine

Abstract

This disclosure provides embodiments of a speed control method, apparatus, device, and medium applicable to pure hydrogen gas turbines. One specific implementation of the method includes: determining the grid connection status of a target pure hydrogen gas turbine; in response to determining that the grid connection status meets preset grid connection conditions, acquiring the current unit speed and current unit power; correcting the current unit speed based on the acquired ambient temperature information from the speed sensor to obtain a corrected current unit speed; generating the unit speed to be adjusted based on the current unit power and a preset grid load power; generating a speed fuel reference value based on the current unit speed and the unit speed to be adjusted; determining a unit fuel reference value based on the speed fuel reference value, the acquired acceleration fuel reference value, and the temperature fuel reference value; and controlling the various fuel valves included in the target pure hydrogen gas turbine based on the unit fuel reference value. This implementation can improve the stability of gas turbine operation.

Description

Technical Field

[0001] The embodiments disclosed herein relate to the field of gas turbine technology, and more specifically to speed control methods, apparatus, devices, and media suitable for pure hydrogen gas turbines. Background Technology

[0002] To ensure the normal start-up and stable operation of a gas turbine, its speed needs to be controlled. Currently, the common method for controlling gas turbine speed is to directly detect the current speed using sensors, and then control the fuel valves using a differential speed control mechanism to bring the gas turbine to the required regulated speed.

[0003] However, when the above method is used to control the speed of the gas turbine, the following technical problems often occur: the pure hydrogen gas turbine is installed in an area with large temperature difference between day and night. The pure hydrogen gas turbine is equipped with an overspeed protection mechanism and directly uses the speed detected by the sensor. When the external ambient temperature affects the speed sensor signal, a positive error is superimposed, resulting in an artificially high measurement value (for example, 102% when the actual value is 100%). This superposition exceeds the protection threshold, causing the unit to trip falsely, which in turn leads to low stability of the gas turbine operation.

[0004] The information disclosed in this background section is only intended to enhance the understanding of the background of the present disclosure concept, and therefore may contain information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The summary portion of this disclosure is intended to provide a brief overview of the concepts, which will be described in detail in the detailed description portion. This summary portion is not intended to identify key or essential features of the claimed technical solutions, nor is it intended to limit the scope of the claimed technical solutions.

[0006] Some embodiments of this disclosure provide a method, apparatus, electronic device, and computer-readable medium for speed control of pure hydrogen gas turbines to address the technical problems mentioned in the background section above.

[0007] In a first aspect, some embodiments of this disclosure provide a speed control method applicable to a pure hydrogen gas turbine. The method includes: determining the grid connection status of a target pure hydrogen gas turbine; in response to determining that the grid connection status meets preset grid connection conditions, acquiring the current unit speed and current unit power of the target pure hydrogen gas turbine; correcting the current unit speed based on the acquired ambient temperature information from a speed sensor to obtain a corrected current unit speed; generating a unit speed to be adjusted based on the current unit power and a preset grid load power; generating a speed fuel reference value based on the current unit speed and the unit speed to be adjusted; determining a unit fuel reference value based on the speed fuel reference value, the acquired acceleration fuel reference value, and the temperature fuel reference value; and controlling various fuel valves included in the target pure hydrogen gas turbine based on the unit fuel reference value.

[0008] Secondly, some embodiments of this disclosure provide a speed control device suitable for a pure hydrogen gas turbine. The device includes: a first determining unit configured to determine the grid connection status of a target pure hydrogen gas turbine; an acquiring unit configured to acquire the current unit speed and current unit power of the target pure hydrogen gas turbine in response to determining that the grid connection status meets preset grid connection conditions; a correcting unit configured to correct the current unit speed based on the acquired ambient temperature information from the speed sensor to obtain a corrected current unit speed; a first generating unit configured to generate a unit speed to be adjusted based on the current unit power and a preset grid load power; a second generating unit configured to generate a speed fuel reference value based on the current unit speed and the unit speed to be adjusted; a second determining unit configured to determine a unit fuel reference value based on the speed fuel reference value, the acquired acceleration fuel reference value, and the temperature fuel reference value; and a control unit configured to control various fuel valves included in the target pure hydrogen gas turbine based on the unit fuel reference value. Thirdly, some embodiments of this disclosure provide an electronic device, including: one or more processors; and a storage device having one or more programs stored thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation of the first aspect above.

[0009] Fourthly, some embodiments of this disclosure provide a computer-readable medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method described in any implementation of the first aspect.

[0010] The above-described embodiments of this disclosure have the following beneficial effects: the speed control method for pure hydrogen gas turbines according to some embodiments of this disclosure can improve the stability of gas turbine operation. Specifically, the reason for the low stability of gas turbine operation is that the pure hydrogen gas turbine is installed in an area with large day-night temperature differences. The pure hydrogen gas turbine is equipped with an overspeed protection mechanism, which directly uses the speed detected by the sensor. When the external ambient temperature affects the speed sensor signal, a positive error is superimposed, causing the measured value to be artificially high (e.g., 102% when the actual value is 100%). This superposition exceeds the protection threshold, resulting in the unit tripping falsely, thus causing the gas turbine to have low operational stability. Based on this, the fuel valve control method for pure hydrogen gas turbines according to some embodiments of this disclosure includes: First, determining the grid connection status of the corresponding target pure hydrogen gas turbine. This allows determining whether the pure hydrogen gas turbine is connected to the grid, thereby determining the speed control method. Second, in response to determining that the grid connection status of the unit meets the preset grid connection conditions, obtaining the current unit speed and current unit power of the target pure hydrogen gas turbine. Therefore, when the pure hydrogen gas turbine is connected to the grid, the current unit speed and power can be obtained, which can be used to determine the speed that needs to be adjusted. Then, based on the ambient temperature information obtained from the speed sensor, the current unit speed is corrected to obtain the corrected unit speed. This reduces the influence of external temperature on the detected speed, thereby improving the accuracy of the detected speed. Next, based on the current unit power and the preset grid load power, the unit speed to be adjusted is generated. This yields a more accurate unit speed that needs adjustment, which can be used to control the fuel valve. Then, based on the current unit speed and the unit speed to be adjusted, a speed fuel reference value is generated. This yields the fuel reference value required to achieve the desired adjusted speed, which can be used to control the fuel valve. Subsequently, based on the speed fuel reference value, the obtained acceleration fuel reference value, and the temperature fuel reference value, the unit fuel reference value is determined. This allows for the determination of the required fuel reference value for the unit by referring to the unit's acceleration and temperature, thereby improving the safety of gas turbine operation. Finally, based on the aforementioned unit fuel reference value, the various fuel valves of the target pure hydrogen gas turbine are controlled. This allows for control of fuel supply to the fuel valves, thereby achieving the required unit speed. Furthermore, because the determination of the unit fuel reference value through speed not only utilizes differential regulation but also considers the detection deviation caused by external temperature on the sensors, the accuracy of achieving the required speed is improved, thus enhancing the operational stability of the gas turbine. Attached Figure Description

[0011] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and elements are not necessarily drawn to scale.

[0012] Figure 1 This is a flowchart of some embodiments of the speed control method applicable to pure hydrogen gas turbines according to the present disclosure; Figure 2 This is a schematic diagram of the structure of some embodiments of a speed control device applicable to a pure hydrogen gas turbine according to the present disclosure; Figure 3 This is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure; Figure 4 This is a flow coefficient-opening characteristic curve of a fuel valve according to some embodiments of the speed control method applicable to a pure hydrogen gas turbine according to the present disclosure. Detailed Implementation

[0013] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0014] It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings. Unless otherwise specified, the embodiments and features described in this disclosure can be combined with each other.

[0015] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0016] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0017] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

[0018] Figure 1A flow chart 100 of some embodiments of a speed control method for a pure hydrogen gas turbine according to the present disclosure is shown. The speed control method for a pure hydrogen gas turbine includes the following steps: Step 101: Determine the grid connection status of the corresponding target pure hydrogen gas turbine unit.

[0019] In some embodiments, the execution entity (e.g., a computing device) of the speed control method applicable to a pure hydrogen gas turbine can determine the grid connection status of the corresponding target pure hydrogen gas turbine. The target pure hydrogen gas turbine can be an operating pure hydrogen gas turbine. The grid connection status characterizes whether the target pure hydrogen gas turbine is connected to the grid. The grid connection status can be, but is not limited to, one of the following: grid-connected operation, islanded operation, or black start. In practice, the execution entity can determine the grid connection status of the corresponding target pure hydrogen gas turbine in various ways.

[0020] In addressing the technical problems mentioned above, and considering the application scenario—desert regions typically host wind and solar power clusters—requiring pure hydrogen gas turbines to be integrated into the power grid to ensure grid stability, a second technical problem often arises: When estimating generator circuit parameters to determine the unit's grid connection status, the unpredictable weather in desert regions, prone to extreme weather events, leads to lower accuracy in estimating generator circuit parameters, resulting in lower accuracy in determining the unit's grid connection status and consequently, lower stability of the gas turbine operation. To address the specific requirements of this application scenario—reducing the impact of weather changes on circuit parameters and improving the stability of gas turbine operation—and leveraging existing advantages such as collaborative research with universities, the following solution can be adopted: Optionally, the aforementioned target pure hydrogen gas turbine may include a circuit breaker, a voltage transformer, and a current transformer. The voltage transformer and current transformer are disposed on both sides of the circuit breaker. The circuit breaker is located at the outlet of the generator included in the aforementioned target pure hydrogen gas turbine.

[0021] In some optional implementations of certain embodiments, the aforementioned execution entity can determine the grid connection status of the corresponding target pure hydrogen gas turbine in the following ways: The first step is to obtain current weather information and circuit breaker contact status information. The current weather information may include, but is not limited to, weather type, temperature, and wind level. The weather type may include, but is not limited to, one of the following: sunny, cloudy, thunderstorm, or dust storm. The temperature may be the temperature at the location of the target pure hydrogen gas turbine. A higher wind level indicates stronger winds. The contact status information may include, but is not limited to, auxiliary contact status and main contact status. The auxiliary contact status indicates whether the auxiliary contacts of the circuit breaker are closed. The main contact status indicates whether the main contacts of the circuit breaker are closed. The auxiliary contact status may include, but is not limited to, one of the following: auxiliary contact closed or auxiliary contact open. The main contact status may include, but is not limited to, one of the following: main contact closed or main contact open. In practice, the executing entity can obtain current weather information and circuit breaker contact status information from a database via wired or wireless connection.

[0022] The second step involves determining the generator parameter set corresponding to each circuit parameter type using the aforementioned voltage and current transformers. These circuit parameter types can include voltage, phase angle, frequency, and rate of change of frequency. The generator parameters in the parameter set can be parameters corresponding to the respective circuit parameter types. In practice, firstly, the executing entity can trigger a high-precision analog-to-digital converter (A / D) to perform high-sampling processing on the voltage and current transformers respectively, obtaining three-phase voltage and three-phase current information. The high-sampling processing can use a sampling rate of 48 points / cycle. The three-phase voltage information includes a three-phase voltage sequence. The three-phase current information includes a three-phase current sequence. The three-phase voltage sequence can be a sequence of the collected three-phase voltages arranged in ascending order according to the sampling time points. The three-phase current sequence can be a sequence of the collected three-phase currents arranged in ascending order according to the sampling time points. Then, using a Taylor series expansion model algorithm, the three-phase voltage sequence and the three-phase current sequence are transformed to obtain the generator parameter set corresponding to each circuit parameter type.

[0023] Third, for each generator parameter included in the above generator parameter set, perform the following sub-steps: The first sub-step involves determining the circuit parameter types corresponding to the generator parameters, which are included in each of the above circuit parameter types, as the target circuit parameter types.

[0024] The second sub-step involves obtaining the current grid parameters corresponding to the target circuit parameter type. For example, when the target circuit parameter type is voltage, the current grid parameter can be the current grid voltage. In practice, the executing entity can obtain the current grid parameters corresponding to the target circuit parameter type from the database via a wired or wireless connection.

[0025] The third sub-step is to determine the difference between the above generator parameters and the above current grid parameters as the parameter difference.

[0026] The fourth sub-step involves determining the parameter deviation threshold based on the aforementioned weather temperature and weather type. In practice, the preset parameter deviation threshold corresponding to the aforementioned target circuit parameter type, weather temperature, and weather type is used as the parameter deviation threshold. This preset parameter deviation threshold can be a pre-defined deviation threshold. Each preset parameter deviation threshold corresponds to a circuit parameter type, a weather temperature range, and a weather type. The preset parameter deviation threshold corresponding to the aforementioned target circuit parameter type, weather temperature, and weather type can be: a preset parameter deviation threshold where the corresponding circuit parameter type is the same as the aforementioned target circuit parameter type, the aforementioned weather temperature is within the corresponding weather temperature range, and the corresponding weather type is the same as the aforementioned weather type. It should be noted that the larger the temperature difference represented by the weather temperature and the more severe the weather represented by the weather type, the larger the set parameter deviation threshold should be.

[0027] The fifth sub-step involves determining the grid connection status score based on the aforementioned parameter difference and parameter deviation threshold. In practice, the executing entity may, in response to determining that the parameter difference is less than the parameter deviation threshold, set a preset full score as the grid connection status score. This preset full score can be a pre-defined score representing a perfect score. For example, the preset full score can be 100. In response to determining that the parameter difference is less than the parameter deviation threshold, a preset zero score is determined as the grid connection status score. This preset zero score can be a pre-defined score representing a zero score. For example, the preset zero score can be 0.

[0028] The fourth step is to determine the preset circuit parameter type weight set corresponding to the aforementioned weather types as the circuit parameter type weight set. The preset circuit parameter type weights in this set correspond one-to-one with the circuit parameter types within each circuit parameter type. The preset circuit parameter type weights characterize the impact of the corresponding circuit parameter type's parameters on the grid connection detection status. It should be noted that, considering thunderstorms, which are prone to lightning strikes, lightning strikes on nearby lines or induce overvoltages can generate extremely high voltage spikes within milliseconds. Therefore, during thunderstorms, the preset circuit parameter type weights corresponding to voltage circuit parameter types are relatively small. Icing or winter rain affects line parameters, increasing the difficulty of phasor prediction; therefore, the preset circuit parameter type weights corresponding to phase angle circuit parameter types are relatively small. In weather with large diurnal temperature differences, voltage and frequency are relatively unstable; therefore, the preset circuit parameter type weights corresponding to voltage and frequency circuit parameter types are relatively small.

[0029] The fifth step is to determine the preset circuit breaker weights corresponding to the aforementioned wind levels and weather types as the circuit breaker weights. The circuit breaker weight can be the weight of the grid connection status detected by the circuit breaker. The sum of the weights of each preset circuit parameter type and the circuit breaker weight can be 1. The higher the wind level and the more sand and dust, the smaller the preset circuit breaker weight. As an example, when the weather type is thunderstorm and the wind level is 5, the preset circuit parameter type weights corresponding to the voltage, phase angle, frequency, and frequency change rate circuit parameter types can be 0.1, 0.3, 0.3, and 0.2, respectively, and the preset circuit breaker weight can be 0.1. As another example, when the weather type is summer sandstorm and the wind level is 6, the preset circuit parameter type weights corresponding to the voltage, phase angle, frequency, and frequency change rate circuit parameter types can be 0.2, 0.3, 0.2, and 0.3, respectively, and the preset circuit breaker weight can be 0.1.

[0030] Step 6: Based on the determined grid connection state scores and circuit parameter type weight sets, generate parameter grid connection detection scores. In practice, the aforementioned execution entity can first perform the following sub-steps for each determined grid connection state score: The first sub-step is to determine the circuit parameter type corresponding to the above grid-connected state score as the target type.

[0031] The second sub-step is to determine the circuit parameter type weights corresponding to the target type in the above circuit parameter type weight set as the target type weights.

[0032] The third sub-step is to determine the target grid connection score by multiplying the above grid connection status score and the above target type weight.

[0033] Then, the sum of the obtained target grid connection scores is determined as the parameter grid connection detection score.

[0034] Step 7: Based on the aforementioned circuit breaker weights, auxiliary contact states, and main contact states, generate the circuit breaker grid connection detection score. In practice, the executing entity can, in response to determining that both the auxiliary contact states and the main contact states are in a closed state, determine the circuit breaker grid connection detection score by multiplying the preset closure score by the aforementioned circuit breaker weights. The preset closure score can represent the target pure hydrogen gas turbine's grid connection. For example, the preset closure score can be 100. In response to determining that both the auxiliary contact states and the main contact states are in a closed state, determine the circuit breaker grid connection detection score by multiplying the preset open score by the aforementioned circuit breaker weights. The preset closure score can represent the target pure hydrogen gas turbine's non-grid connection. For example, the preset closure score can be 0.

[0035] Step 8: Determine the unit's grid connection status based on the above-mentioned grid connection test scores and circuit breaker grid connection test scores. In practice, firstly, the executing entity can determine the grid connection test score as the sum of the above-mentioned grid connection test scores and circuit breaker grid connection test scores. Then, in response to determining that the above-mentioned grid connection test score meets the preset grid connection score conditions, the preset unit grid connection is determined as the unit's grid connection status.

[0036] The above-mentioned technical solution and related content, as an inventive point of this disclosure, solve the second technical problem mentioned in the background art: "low stability of gas turbine operation." Factors leading to low stability of gas turbine operation often include: when estimating generator circuit parameters to determine the unit's grid connection status, the weather in desert areas is highly variable and prone to extreme weather. Affected by external weather changes, the accuracy of estimating generator circuit parameters is low, leading to a lower accuracy in determining the unit's grid connection status, thus resulting in low stability of gas turbine operation. Solving these factors can improve the stability of gas turbine operation. To achieve this effect, some embodiments of this disclosure provide a speed control method for pure hydrogen gas turbines. First, current weather information and circuit breaker contact status information are obtained. The current weather information includes weather type, temperature, and wind speed. This allows the determination of the weather conditions at the location of the target pure hydrogen gas turbine and the circuit breaker connection status, which can then be used to determine whether the gas turbine is connected to the grid. Second, the generator parameter sets corresponding to each circuit parameter type are determined using the voltage transformer and current transformer. The aforementioned circuit parameter types include voltage, phase angle, frequency, and rate of frequency change. This allows for the acquisition of various generator circuit parameters, which can then be used to determine whether the target pure hydrogen gas turbine is connected to the grid. Then, for each generator parameter included in the aforementioned generator parameter set, the following steps are performed: The circuit parameter type corresponding to the aforementioned generator parameter is determined as the target circuit parameter type. The current grid parameters corresponding to the target circuit parameter type are obtained; the difference between the aforementioned generator parameter and the aforementioned current grid parameters is determined as the parameter difference; a parameter deviation threshold is determined based on the aforementioned weather temperature and weather type; a grid connection detection status score is determined based on the aforementioned parameter deviation threshold and the corresponding circuit parameter type of the aforementioned generator parameter; and a grid connection status score is determined based on the aforementioned parameter difference and the aforementioned parameter deviation threshold. Therefore, when determining whether a pure hydrogen gas turbine is connected to the grid using circuit parameters, the influence of weather changes is considered, and the parameter threshold is dynamically adjusted, thereby improving the accuracy of the judgment. Next, the preset circuit parameter type weight set corresponding to the aforementioned weather type is determined as the circuit parameter type weight set; the preset circuit breaker weights corresponding to the aforementioned wind level and weather type are determined as circuit breaker weights; based on the determined grid connection status scores and circuit parameter type weight sets, parameter grid connection detection scores are generated; based on the aforementioned circuit breaker weights and contact status information, circuit breaker grid connection detection scores are generated. This considers the reference value of various circuit parameter values ​​under different weather conditions, thereby improving the accuracy of the judgment. Finally, based on the aforementioned parameter grid connection detection scores and circuit breaker grid connection detection scores, the unit's grid connection status is determined. This provides a highly accurate unit grid connection status, thereby improving the stability of the pure hydrogen gas turbine operation.Because when judging the grid connection status of the unit through various circuit parameters, not only is the impact of weather on the circuit parameters dynamically adjusted, but the reference value of each circuit parameter under different weather conditions is also taken into account, thereby improving the accuracy of the unit's grid connection status, which in turn can improve the stability of the pure hydrogen gas turbine operation.

[0037] Step 102: In response to determining that the unit grid connection status meets the preset unit grid connection conditions, obtain the current unit speed and current unit power of the target pure hydrogen gas turbine.

[0038] In some embodiments, the executing entity may, in response to determining that the grid connection status of the unit meets preset grid connection conditions, obtain the current unit speed and current unit power of the target pure hydrogen gas turbine. The preset grid connection conditions can be the grid connection status characterizing the grid connection of the target pure hydrogen gas turbine. The current unit speed can be the rotational speed of the gas turbine unit at the current time. The current unit power can be the power of the gas turbine unit at the current time. In practice, the executing entity may, in response to determining that the grid connection status of the unit meets preset grid connection conditions, obtain the current unit speed and current unit power of the target pure hydrogen gas turbine from a database via a wired or wireless connection.

[0039] Step 103: Based on the ambient temperature information obtained from the speed sensor, the current unit speed is corrected to obtain the corrected speed of the current unit.

[0040] In some embodiments, the execution entity can correct the current unit speed based on the acquired ambient temperature information from the speed sensor to obtain the corrected current unit speed. The speed sensor can be a sensor used to detect the speed of the target pure hydrogen gas turbine. The ambient temperature information can characterize the temperature of the environment where the speed sensor is located. The ambient temperature information can include, but is not limited to, ambient temperature. The ambient temperature can be the temperature of the environment where the speed sensor is located. The ambient temperature can be detected by a temperature sensor installed at the speed sensor. In practice, the execution entity can correct the current unit speed based on the acquired ambient temperature information from the speed sensor in various ways to obtain the corrected current unit speed.

[0041] In some optional implementations of certain embodiments, the execution entity may perform correction processing on the current unit speed based on the acquired ambient temperature information from the speed sensor through the following steps to obtain the corrected current unit speed: The first step is to determine the preset offset rotation speed corresponding to the aforementioned ambient temperature information as the offset rotation speed. The preset offset rotation speed can be a pre-set amount representing the offset of the rotation speed detected at the corresponding pre-set ambient temperature.

[0042] The second step is to determine the difference between the current unit speed and the offset speed as the target correction speed.

[0043] The third step is to determine the current unit correction speed in response to the determination that the target correction speed meets a preset positive condition. The preset positive condition can be that the target correction speed is greater than 0.

[0044] Fourth, in response to the determination that the target corrected speed does not meet the preset positive number condition, the preset zero speed is determined as the current unit corrected speed. The preset zero speed can be a pre-set speed representing a speed of 0.

[0045] In addressing the aforementioned technical challenges in the application scenario—desert regions typically host wind and solar power clusters, requiring pure hydrogen gas turbines to be integrated into the power grid to ensure grid stability—the following technical problem arises: The significant diurnal temperature range in desert regions causes temperature drift in the speed sensor, leading to lower accuracy in detected speed. This, in turn, results in lower accuracy in the gas turbine's output power, ultimately causing lower grid stability. Therefore, this application scenario requires a high-precision speed sensor. Furthermore, leveraging existing advantages, collaborative research with universities can be conducted, employing the following solution: In some alternative implementations of certain embodiments, the execution entity may perform a correction process on the current unit speed based on the ambient temperature information obtained from the speed sensor through the following steps to obtain the corrected current unit speed: The first step is to obtain the unit operating time and the corresponding sensor temperature of the aforementioned speed sensor. The unit operating time can be the operating time of the target pure hydrogen gas turbine. The speed sensor can be a sensor used to detect the speed of the target pure hydrogen gas turbine. The sensor temperature can be the temperature of the speed sensor. In practice, the executing entity can obtain the unit operating time and the corresponding sensor temperature of the aforementioned speed sensor from a database via wired or wireless connection.

[0046] The second step is to determine the first temperature by multiplying the rotational speed operating time by the preset temperature increment per unit time. The preset temperature increment per unit time can be a pre-defined increase in temperature per unit of operating time. The unit time can be per hour.

[0047] The third step is to determine the second temperature by multiplying the sensor temperature and the preset self-temperature weighting coefficient. The preset self-temperature weighting coefficient can be a pre-defined factor indicating the influence of the speed sensor's own temperature on the detected speed.

[0048] The fourth step involves determining the third temperature based on the product of the aforementioned ambient temperature information and a preset ambient temperature weighting coefficient. This preset ambient temperature weighting coefficient can be a pre-defined factor indicating the influence of the ambient temperature of the speed sensor on the detected speed.

[0049] The fifth step is to determine the correction temperature by summing the first temperature, the second temperature, and the third temperature.

[0050] Step 6: Input the corrected temperature into the pre-generated speed offset generation model to obtain the speed offset. The speed offset generation model is generated through the following steps: Step 7: Obtain the initial sample set and perform the following generation steps: The first generation step involves determining the initial sample set. The samples in this sample set include the sample correction temperature and the sample rotation speed offset.

[0051] The second generation step involves fitting the samples in the aforementioned sample set to obtain the rotational speed offset generation model. In practice, the execution entity can use a polynomial fitting function to fit the samples in the aforementioned sample set to obtain the rotational speed offset generation model.

[0052] The third generation step involves obtaining the current unit speed and current corrected temperature in response to the detection of unit shutdown information corresponding to the aforementioned target pure hydrogen gas turbine. The unit shutdown information indicates that the rotor of the target pure hydrogen gas turbine is stationary. The current unit speed can be the speed detected by the speed sensor when the rotor of the target pure hydrogen gas turbine is stationary. The current corrected temperature can be the corrected temperature when the rotor of the target pure hydrogen gas turbine is stationary. In practice, the executing entity can obtain the current unit speed and current corrected temperature from a database via a wired or wireless connection in response to the detection of unit shutdown information corresponding to the aforementioned target pure hydrogen gas turbine.

[0053] The fourth generation step involves updating the sample set based on the current unit speed and the current corrected temperature to obtain an updated sample set. In practice, the executing entity can add the current unit speed as the sample speed offset and the current corrected temperature as the sample corrected temperature to the sample set to obtain the updated sample set.

[0054] The fifth generation step involves using the updated sample set as the initial sample set and continuing to execute the above generation steps.

[0055] The eighth step is to determine the difference between the current unit speed and the speed offset as the corrected speed of the current unit.

[0056] The above-described technical solution and its related content, as an inventive point of this disclosure, solve the third technical problem mentioned in the background art: "low grid stability." Factors leading to low grid stability often include: large diurnal temperature variations in desert regions; temperature drift of the speed sensor due to changes in ambient temperature, resulting in low accuracy of the detected speed, which in turn leads to low accuracy of the gas turbine's output power, and consequently, low grid stability. Solving these factors can improve grid stability. To achieve this effect, some embodiments of this disclosure provide a speed control method applicable to pure hydrogen gas turbines. First, the unit's operating time and the corresponding temperature of the speed sensor are obtained. Thus, the unit's operating time and the temperature of the speed sensor itself can be obtained. Secondly, the product of the rotational speed operating time and the preset temperature increment per unit time is determined as the first temperature; the product of the sensor temperature and the preset self-temperature weighting coefficient is determined as the second temperature; the product of the ambient temperature information and the preset ambient temperature weighting coefficient is determined as the third temperature; the sum of the first temperature, the second temperature, and the third temperature is determined as the correction temperature. Thus, when considering the influence of temperature on the speed sensor detection results, not only the influence of the external ambient temperature is considered, but also the influence of the self-temperature and the unit operating time, thereby improving the accuracy of the correction temperature. Then, the corrected temperature is input into a pre-generated speed offset generation model to obtain the speed offset. This speed offset generation model is generated through the following steps: obtaining an initial sample set and performing the following generation steps: determining the initial sample set as the sample set, where the samples in the sample set include sample corrected temperatures and sample speed offsets; performing fitting processing on each sample in the sample set to obtain the speed offset generation model; in response to detecting unit shutdown information corresponding to the target pure hydrogen gas turbine, obtaining the current unit speed and current corrected temperature; updating the sample set based on the current unit speed and current corrected temperature to obtain an updated sample set; using the updated sample set as the initial sample set, continuing the above generation steps. This allows for timely updates to the speed offset generation model, resulting in a more accurate speed offset. Finally, the difference between the current unit speed and the speed offset is determined as the current unit corrected speed. This also results in a more accurate current unit corrected speed, thereby improving the operational stability of the power grid. Because when correcting the detected rotational speed, not only are the influences of the external environment taken into account, but also the temperature changes of the rotational speed sensor itself during operation, and the corresponding model of temperature and rotational speed deviation is continuously updated, the accuracy of the corrected rotational speed can be improved, thereby improving the operational stability of the power grid.

[0057] Step 104: Generate the unit speed to be adjusted based on the current unit power and the preset grid load power.

[0058] In some embodiments, the aforementioned executing entity can generate the unit speed to be adjusted based on the current unit power and the preset grid load power. In practice, the aforementioned executing entity i can generate the unit speed to be adjusted based on the current unit power and the preset grid load power in various ways.

[0059] In some optional implementations of certain embodiments, the aforementioned executing entity can generate the unit speed to be adjusted based on the current unit power and the preset grid load power through the following steps: The first step is to obtain the current grid frequency and rated grid frequency corresponding to the target pure hydrogen gas turbine. The current grid frequency can be the frequency of the power grid to which the target pure hydrogen gas turbine is connected at the current time. The rated grid frequency can be the rated frequency of the power grid to which the target pure hydrogen gas turbine is connected. In practice, the executing entity can obtain the current grid frequency and rated grid frequency corresponding to the target pure hydrogen gas turbine from a database via wired or wireless connection.

[0060] The second step is to determine the difference between the current power grid frequency and the rated power grid frequency as the power grid frequency deviation.

[0061] The third step involves determining the grid deviation power by multiplying the aforementioned grid frequency deviation, the reciprocal of the preset unit speed unequal rate, and the preset rated grid power. The preset unit speed unequal rate can be a pre-set speed unequal rate for the target pure hydrogen gas turbine. For example, the preset unit speed unequal rate can be 10%. The preset rated grid power can be the pre-set rated power of the grid to which the target pure hydrogen gas turbine is connected.

[0062] The fourth step is to determine the corrected grid power by summing the above-mentioned grid deviation power with the preset grid load power.

[0063] The fifth step is to determine the difference between the corrected grid power and the current unit power as the power to be adjusted.

[0064] Step 6: Based on the power to be adjusted and the preset first-order inertial transfer function, generate the unit speed to be adjusted. In practice, the executing entity can input the power to be adjusted into the preset first-order inertial transfer function to obtain the unit speed. The preset first-order inertial transfer function can be expressed by the following formula:

[0065] in, It can indicate the speed of the unit to be adjusted. It can represent the power to be adjusted. This can represent the integration constant. The integration constant mentioned above can be 1% or 2%.

[0066] Step 105: Generate speed and fuel reference values ​​based on the current unit speed and the unit speed to be adjusted.

[0067] In some embodiments, the executing entity can generate a speed-fuel reference value based on the current unit speed and the unit speed to be adjusted. In practice, the executing entity can generate the speed-fuel reference value based on the current unit speed and the unit speed to be adjusted in various ways.

[0068] In some optional implementations of certain embodiments, the aforementioned execution entity can generate a speed-fuel reference value based on the current unit speed and the unit speed to be adjusted through the following steps: The first step is to determine the difference between the current unit speed and the unit speed to be adjusted as the speed deviation.

[0069] The second step is to determine the fuel reference deviation value by multiplying the aforementioned speed deviation by the obtained speed adjustment gain constant. Here, the aforementioned speed adjustment gain constant can be the adjustment gain used to adjust the speed. The aforementioned speed adjustment gain constant can be obtained through experimental testing. For example, the aforementioned speed adjustment gain constant can be 10.

[0070] The third step is to determine the speed fuel reference value by summing the above-mentioned fuel reference deviation value with the preset no-load fuel reference value. The preset no-load fuel reference value can be the pre-set fuel reference value for the target pure hydrogen gas turbine under no-load conditions.

[0071] Step 106: Determine the unit fuel reference value based on the speed fuel reference value, the obtained acceleration fuel reference value, and the temperature fuel reference value.

[0072] In some embodiments, the executing entity can determine the unit fuel reference value based on the aforementioned speed fuel reference value, the acquired acceleration fuel reference value, and the temperature fuel reference value. The aforementioned acceleration fuel reference value can be a fuel reference value used to control the acceleration of the target pure hydrogen gas turbine. The aforementioned temperature fuel reference value can be a fuel reference value used to control the temperature of the target pure hydrogen gas turbine. In practice, the executing entity can determine the unit fuel reference value as the minimum value among the aforementioned speed fuel reference value, the acquired acceleration fuel reference value, and the temperature fuel reference value.

[0073] Step 107: Control the various fuel valves of the target pure hydrogen gas turbine according to the unit fuel reference value.

[0074] In some embodiments, the aforementioned actuator can control the various fuel valves included in the target pure hydrogen gas turbine based on the aforementioned unit fuel reference value. In practice, the aforementioned actuator can control the various fuel valves included in the target pure hydrogen gas turbine based on the aforementioned unit fuel reference value in various ways.

[0075] In some optional implementations of certain embodiments, the aforementioned execution entity may control the various fuel valves included in the target pure hydrogen gas turbine according to the aforementioned unit fuel reference value through the following steps: The first step, for each fuel valve included in the aforementioned target pure hydrogen gas turbine, is to perform the following sub-steps: The first sub-step involves determining the preset fuel allocation coefficient corresponding to the aforementioned fuel valve as the target fuel allocation coefficient. This preset fuel allocation coefficient can be a pre-defined percentage of the total fuel allocated to the corresponding fuel valve.

[0076] The second sub-step involves determining the product of the aforementioned unit fuel reference value and the aforementioned target fuel distribution coefficient as the fuel valve fuel reference value.

[0077] The third sub-step involves monitoring the fuel pressure before and after the aforementioned fuel valve, as well as the fuel temperature before the valve. The fuel pressure before the valve can be the pressure detected by a pressure sensor located before the fuel valve. The fuel pressure after the valve can be the pressure detected by a pressure sensor located after the fuel valve. The fuel temperature before the valve can be the temperature detected by a temperature sensor located before the fuel valve. It should be noted that "before" and "after" are distinguished by the order of hydrogen flow. The flow occurring first is considered "before," and the flow occurring later is considered "after." In practice, the executing entity can obtain the corresponding fuel pressure before and after the valve from a database via wired or wireless connection.

[0078] The fourth sub-step is to determine the difference between the fuel pressure before the valve and the fuel pressure after the valve as the fuel valve pressure difference.

[0079] The fifth sub-step involves generating the pure hydrogen fuel density based on the aforementioned inlet fuel pressure and inlet fuel temperature. In practice, the executing entity can obtain the pure hydrogen fuel density by inputting the inlet fuel pressure and inlet fuel temperature into a preset hydrogen density function. This preset hydrogen density function can be expressed by the following formula:

[0080] in, It can represent the fuel pressure before the valve. It can indicate the fuel temperature before the valve. This can represent the gas constant. Here, It can be 8.314 J / (mol) K). This can be the molar mass of hydrogen. The molar mass of hydrogen can be 0.002016 kg / mol.

[0081] The sixth sub-step involves determining the ratio of the density of the pure hydrogen fuel to the preset water density as the fluid relative density. The preset water density can be a pre-defined density of water at a temperature of 4 degrees Celsius.

[0082] The seventh sub-step involves determining the required fuel flow rate by multiplying the aforementioned fuel valve reference value by the preset maximum fuel flow rate of the gas turbine. This preset maximum fuel flow rate can be the maximum allowable fuel flow rate for a target pure hydrogen gas turbine. For example, the preset maximum fuel flow rate could be 36,000 standard cubic meters per hour.

[0083] The eighth sub-step involves inputting the required fuel flow rate, the fuel valve pressure difference, and the fluid relative density into a preset fuel valve flow coefficient function to obtain the fuel valve flow coefficient. This preset fuel valve flow coefficient function can be expressed by the following formula:

[0084] in, It can represent the flow coefficient of the fuel valve. This can represent the current required fuel flow rate. This can represent the pressure difference of the fuel valve mentioned above. This can represent the relative density of the fluid mentioned above.

[0085] The ninth sub-step involves determining the corresponding fuel valve rotation angle based on the aforementioned fuel valve flow coefficient. This rotation angle can be the angle the fuel valve needs to rotate. In practice, the executing entity can first acquire the flow coefficient-opening characteristic curve of the corresponding fuel valve via a wired or wireless connection. As an example, the flow coefficient-opening characteristic curve is as follows: Figure 4 As shown. Among them, Figure 4 The horizontal axis in the graph represents the stroke of rotation, and the vertical axis represents the fuel valve flow coefficient. Then, the rotation angle of the fuel valve flow coefficient corresponding to the number of rows in the above flow coefficient-opening characteristic curve is determined as the fuel valve rotation angle.

[0086] The tenth sub-step involves controlling the fuel valve to perform a valve adjustment operation based on its rotation angle. This valve adjustment operation can be an operation to adjust the angle of the fuel valve. In practice, the actuator can control the fuel valve to perform the valve adjustment operation according to its rotation angle.

[0087] Optionally, the aforementioned executing entity may also, in response to determining that the grid connection status of the aforementioned unit does not meet the aforementioned preset grid connection conditions, determine the preset no-load fuel reference value as the speed fuel reference value.

[0088] The above-described embodiments of this disclosure have the following beneficial effects: the speed control method for pure hydrogen gas turbines according to some embodiments of this disclosure can improve the stability of gas turbine operation. Specifically, the reason for the low stability of gas turbine operation is that the pure hydrogen gas turbine is installed in an area with large day-night temperature differences. The pure hydrogen gas turbine is equipped with an overspeed protection mechanism, which directly uses the speed detected by the sensor. When the external ambient temperature affects the speed sensor signal, a positive error is superimposed, causing the measured value to be artificially high (e.g., 102% when the actual value is 100%). This superposition exceeds the protection threshold, resulting in the unit tripping falsely, thus causing the gas turbine to have low operational stability. Based on this, the fuel valve control method for pure hydrogen gas turbines according to some embodiments of this disclosure includes: First, determining the grid connection status of the corresponding target pure hydrogen gas turbine. This allows determining whether the pure hydrogen gas turbine is connected to the grid, thereby determining the speed control method. Second, in response to determining that the grid connection status of the unit meets the preset grid connection conditions, obtaining the current unit speed and current unit power of the target pure hydrogen gas turbine. Therefore, when the pure hydrogen gas turbine is connected to the grid, the current unit speed and power can be obtained, which can be used to determine the speed that needs to be adjusted. Then, based on the ambient temperature information obtained from the speed sensor, the current unit speed is corrected to obtain the corrected unit speed. This reduces the influence of external temperature on the detected speed, thereby improving the accuracy of the detected speed. Next, based on the current unit power and the preset grid load power, the unit speed to be adjusted is generated. This yields a more accurate unit speed that needs adjustment, which can be used to control the fuel valve. Then, based on the current unit speed and the unit speed to be adjusted, a speed fuel reference value is generated. This yields the fuel reference value required to achieve the desired adjusted speed, which can be used to control the fuel valve. Subsequently, based on the speed fuel reference value, the obtained acceleration fuel reference value, and the temperature fuel reference value, the unit fuel reference value is determined. This allows for the determination of the required fuel reference value for the unit by referring to the unit's acceleration and temperature, thereby improving the safety of gas turbine operation. Finally, based on the aforementioned unit fuel reference value, the various fuel valves of the target pure hydrogen gas turbine are controlled. This allows for control of fuel supply to the fuel valves, thereby achieving the required unit speed. Furthermore, because the determination of the unit fuel reference value through speed not only utilizes differential regulation but also considers the detection deviation caused by external temperature on the sensors, the accuracy of achieving the required speed is improved, thus enhancing the operational stability of the gas turbine.

[0089] Further reference Figure 2 As an implementation of the methods shown in the above figures, this disclosure provides some embodiments of a speed control device suitable for pure hydrogen gas turbines. These device embodiments are similar to... Figure 2Corresponding to the method embodiments shown, the device can be specifically applied to various electronic devices.

[0090] like Figure 2 As shown, a speed control device 200 for a pure hydrogen gas turbine in some embodiments includes: a first determining unit 201, an acquiring unit 202, a correcting unit 203, a first generating unit 204, a second generating unit 205, a second determining unit 206, and a control unit 207. The system comprises the following components: a first determining unit 201 configured to determine the grid connection status of the target pure hydrogen gas turbine; an acquiring unit 202 configured to acquire the current unit speed and current unit power of the target pure hydrogen gas turbine in response to determining that the grid connection status meets preset grid connection conditions; a correcting unit 203 configured to correct the current unit speed based on the acquired ambient temperature information from the speed sensor to obtain the corrected current unit speed; a first generating unit 204 configured to generate the unit speed to be adjusted based on the current unit power and the preset grid load power; a second generating unit 205 configured to generate a speed fuel reference value based on the current unit speed and the unit speed to be adjusted; a second determining unit 206 configured to determine the unit fuel reference value based on the speed fuel reference value, the acquired acceleration fuel reference value, and the temperature fuel reference value; and a control unit 207 configured to control each fuel valve of the target pure hydrogen gas turbine based on the unit fuel reference value.

[0091] It is understandable that the units described in the speed control device 200 applicable to pure hydrogen gas turbines are similar to those in the reference device. Figure 1 The steps in the described method correspond to each other. Therefore, the operations, features, and beneficial effects described above for the method also apply to the device 200 and the units contained therein, and will not be repeated here.

[0092] The following is for reference. Figure 3 This document illustrates a structural schematic of an electronic device 300 suitable for implementing some embodiments of the present disclosure. The electronic devices in some embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 3 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments of this disclosure.

[0093] like Figure 3As shown, the electronic device 300 may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. The RAM 303 also stores various programs and data required for the operation of the electronic device 300. The processing unit 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0094] Typically, the following devices can be connected to I / O interface 305: input devices 306 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 307 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 308 including, for example, magnetic tapes, hard disks, etc.; and communication devices 309. Communication device 309 allows electronic device 300 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 3 An electronic device 300 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively. Figure 3 Each box shown can represent a device or multiple devices as needed.

[0095] In particular, according to some embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, some embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication device 309, or installed from storage device 308, or installed from ROM 302. When the computer program is executed by processing device 301, it performs the functions defined in the methods of some embodiments of this disclosure.

[0096] It should be noted that, in some embodiments of this disclosure, the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In some embodiments of this disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In some embodiments of this disclosure, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0097] In some implementations, clients and servers can communicate using any currently known or future-developed network protocol such as HTTP (Hypertext Transfer Protocol) and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet of Things), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future-developed networks.

[0098] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device. The aforementioned computer-readable medium carries one or more programs that, when executed by the electronic device, cause the electronic device to: determine the grid connection status of the corresponding target pure hydrogen gas turbine; in response to determining that the grid connection status meets preset grid connection conditions, acquire the current unit speed and current unit power of the target pure hydrogen gas turbine; correct the current unit speed based on the acquired ambient temperature information from the speed sensor to obtain a corrected current unit speed; generate the unit speed to be adjusted based on the current unit power and the preset grid load power; generate a speed fuel reference value based on the current unit speed and the unit speed to be adjusted; determine a unit fuel reference value based on the speed fuel reference value, the acquired acceleration fuel reference value, and the temperature fuel reference value; and control the various fuel valves included in the target pure hydrogen gas turbine based on the unit fuel reference value.

[0099] Computer program code for performing operations of some embodiments of this disclosure can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0100] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0101] The units described in some embodiments of this disclosure can be implemented in software or hardware. The described units can also be housed in a processor; for example, a processor may be described as including a first determining unit, an acquiring unit, a correcting unit, a first generating unit, a second generating unit, a second determining unit, and a control unit. The names of these units do not necessarily limit the specific unit; for example, the first determining unit may also be described as "a unit for determining the grid connection status of a corresponding target pure hydrogen gas turbine."

[0102] The functions described above in this document can be performed at least in part by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), and so on.

[0103] The above description is merely a selection of preferred embodiments of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the embodiments of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in the embodiments of this disclosure.

Claims

1. A speed control method suitable for pure hydrogen gas turbines, comprising: Determine the grid connection status of the corresponding target pure hydrogen gas turbine unit; In response to determining that the grid connection status of the unit meets the preset grid connection conditions, the current unit speed and current unit power of the target pure hydrogen gas turbine are obtained; Based on the ambient temperature information obtained from the speed sensor, the current unit speed is corrected to obtain the corrected current unit speed. Based on the current unit power and the preset grid load power, the unit speed to be adjusted is generated; Based on the current unit speed and the unit speed to be adjusted, a speed-fuel reference value is generated; The unit fuel reference value is determined based on the aforementioned speed fuel reference value, the obtained acceleration fuel reference value, and the temperature fuel reference value; Based on the unit's fuel reference value, control each fuel valve included in the target pure hydrogen gas turbine.

2. The method according to claim 1, wherein, The method further includes: In response to determining that the grid connection status of the unit does not meet the preset grid connection conditions, the preset no-load fuel reference value is determined as the speed fuel reference value.

3. The method according to claim 1, wherein, The step of generating a speed-fuel reference value based on the current unit speed and the unit speed to be adjusted includes: The difference between the current unit speed and the unit speed to be adjusted is defined as the speed deviation; The product of the speed deviation and the obtained speed regulation gain constant is determined as the fuel reference deviation value; The sum of the fuel reference deviation value and the preset no-load fuel reference value is determined as the speed fuel reference value.

4. The method according to claim 1, wherein, The step of correcting the current unit speed based on the acquired ambient temperature information from the speed sensor to obtain the corrected current unit speed includes: The preset offset rotation speed corresponding to the ambient temperature information is determined as the offset rotation speed; The difference between the current unit speed and the offset speed is determined as the target correction speed; In response to determining that the target correction speed meets a preset positive condition, the target correction speed is determined as the current unit correction speed; In response to determining that the target corrected speed does not meet the preset positive number condition, the preset zero speed is determined as the current unit corrected speed.

5. The method according to claim 1, wherein, The step of controlling the various fuel valves of the target pure hydrogen gas turbine according to the unit fuel reference value includes: For each fuel valve included in the target pure hydrogen gas turbine, perform the following steps: The preset fuel distribution coefficient corresponding to the fuel valve is determined as the target fuel distribution coefficient; The product of the unit fuel reference value and the target fuel distribution coefficient is determined as the fuel valve fuel reference value; Obtain the inlet fuel pressure, outlet fuel pressure, and inlet fuel temperature of the corresponding fuel valve; The difference between the fuel pressure before the valve and the fuel pressure after the valve is defined as the fuel valve pressure difference; Based on the inlet fuel pressure and inlet fuel temperature, the density of pure hydrogen fuel is generated; The ratio of the density of the pure hydrogen fuel to the density of the preset water is determined as the fluid relative density; The product of the fuel reference value of the fuel valve and the preset maximum fuel flow rate of the gas turbine is determined as the current required fuel flow rate; The required current fuel flow rate, the fuel valve pressure difference, and the fluid relative density are input into a preset fuel valve flow coefficient function to obtain the fuel valve flow coefficient. Based on the fuel valve flow coefficient, determine the corresponding fuel valve rotation angle; The fuel valve is controlled to perform valve adjustment operations based on the rotation angle of the fuel valve.

6. The method according to claim 1, wherein, The step of generating the unit speed to be adjusted based on the current unit power and the preset grid load power includes: Obtain the current grid frequency and rated grid frequency corresponding to the target pure hydrogen gas turbine; The difference between the current power grid frequency and the rated power grid frequency is defined as the power grid frequency deviation; The product of the grid frequency deviation, the reciprocal of the preset unit speed inequality rate, and the preset rated grid power is determined as the grid deviation power. The sum of the power deviation and the preset power load is determined as the corrected power grid power; The difference between the corrected grid power and the current unit power is determined as the power to be adjusted; The unit speed to be adjusted is generated based on the power to be adjusted and the preset first-order inertial transfer function.

7. A speed control device suitable for a pure hydrogen gas turbine, comprising: The first determining unit is configured to determine the grid connection status of the corresponding target pure hydrogen gas turbine. The acquisition unit is configured to acquire the current unit speed and current unit power of the target pure hydrogen gas turbine in response to determining that the grid connection status of the unit meets the preset grid connection conditions. The correction unit is configured to correct the current unit speed based on the ambient temperature information obtained from the speed sensor, so as to obtain the corrected current unit speed. The first generation unit is configured to generate the speed of the unit to be adjusted based on the current unit power and the preset grid load power. The second generation unit is configured to generate a speed-fuel reference value based on the current unit speed and the unit speed to be adjusted; The second determining unit is configured to determine the unit fuel reference value based on the speed fuel reference value, the acquired acceleration fuel reference value, and the temperature fuel reference value. The control unit is configured to control the various fuel valves included in the target pure hydrogen gas turbine according to the unit fuel reference value.

8. An electronic device, comprising: One or more processors; Storage device, on which one or more programs are stored, When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any one of claims 1-6.

9. A computer-readable medium having a computer program stored thereon, wherein, When the computer program is executed by a processor, it implements the method as described in any one of claims 1-6.

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