Intelligent speed regulation and control method and system for solar generator

Abstract

The invention relates to an intelligent speed regulation and control method and system for a solar generator, and relates to the field of solar power generation technologies. When the external illumination intensity is greater than the preset effective power generation intensity, determining an effective power generation position according to a preset sun motion algorithm, and controlling the generator to rotate to the effective power generation position; after the generator rotates, determining required reference voltage and theoretical generated power according to a preset maximum power point tracking algorithm; determining an equipment operation rotating speed corresponding to the required reference voltage according to a preset rotating speed matching relation, controlling a generator to operate at the equipment operation rotating speed, and obtaining actual power generation power in the operation process; and calculating according to the theoretical generated power and the actual generated power to determine a power error ratio, and outputting an alarm signal when the power error ratio is greater than a preset allowable error ratio. The solar generator has the function of improving the overall use effect of the solar generator.

Description

Technical Field

[0001] This invention relates to the field of solar power generation technology, and in particular to a method and system for intelligent speed regulation and control of a solar generator. Background Technology

[0002] Solar generators, especially systems based on solar thermal power generation or solar thermal-photovoltaic hybrid power generation, typically convert solar energy into mechanical energy to drive a generator to produce electrical energy. In such systems, the operating speed of the generator directly determines the frequency and efficiency of its output electrical energy, which is a key parameter affecting the performance of the entire system.

[0003] Currently, for the sake of system simplification and control stability, some solar generators adopt a fixed-speed operation strategy, meaning that the generator is set to operate at a constant speed regardless of changes in the external environment. However, as an intermittent energy source, solar energy input exhibits significant fluctuations and uncertainties. In actual operation, both the external environment of the system and the load demand on the user side are dynamically changing. Using a fixed speed leads to problems such as low power generation efficiency and poor operational stability, resulting in a poor overall performance of the solar generator and indicating room for improvement. Summary of the Invention

[0004] To improve the overall performance of solar generators, this invention provides a method and system for intelligent speed regulation and control of solar generators.

[0005] In a first aspect, the present invention provides an intelligent speed regulation and control method for a solar generator, employing the following technical solution: A method for intelligent speed regulation and control of a solar generator includes: Obtain the intensity of external light; When the external light intensity is greater than the preset effective power generation intensity, the effective power generation position is determined according to the preset apparent solar motion algorithm, and the generator is controlled to rotate to the effective power generation position. After the generator starts rotating, the required reference voltage and theoretical power generation are determined according to the preset maximum power point tracking algorithm; The operating speed of the equipment corresponding to the required reference voltage is determined according to the preset speed matching relationship, and the generator is controlled to operate at the equipment operating speed, and the actual power generation is obtained during the operation. The power error percentage is determined by calculation based on the theoretical power generation and the actual power generation, and an alarm signal is output when the power error percentage is greater than the preset allowable error percentage.

[0006] Optional maximum power point tracking algorithms include: Obtain the preceding reference voltage and preceding illumination intensity; Construct a historical interval with a preset historical duration on a preset timeline, with the current time point as the endpoint, and construct a unit interval within the historical interval based on a preset unit duration; The similarity of a unit interval is determined based on the external light intensity, the current external light intensity, and the previous light intensity. Unit intervals with a similarity greater than the preset required similarity are defined as similar intervals. Within a similar range, the reference voltage variation is determined by calculating the difference based on the required reference voltage, and the applicable voltage variation is determined by calculating based on all reference voltage variation. The simulated starting voltage is determined based on the preceding reference voltage and the calculation using the varying voltage, and adjustments are made in both directions using the simulated starting voltage as the base point.

[0007] Optionally, the step of calculating to determine the variable voltage to use based on all reference variable voltages includes: Under each reference voltage variation, calculations are performed based on preset similar parameters to construct a similar voltage range; The number of items within each voltage range is determined by counting based on the reference voltage variation. The maximum number of values ​​within a given range is determined according to a preset sorting rule, and the voltage range corresponding to this maximum number of values ​​is defined as the voltage cluster range. The average value of each reference voltage variation is calculated within the voltage aggregation range to determine the voltage variation to be used.

[0008] Optionally, after the number within the range is determined, the intelligent speed regulation and control method for solar generators also includes: The total number of parameters is determined by counting all reference voltage changes, and the proportion of the range number is determined by calculating the number of parameters within the range and the total number of parameters. The largest proportion of the range number is defined as the upper limit proportion of the number. Determine whether the percentage of the upper limit quantity is greater than the preset percentage of representative demand; If the upper limit quantity accounts for a larger proportion than the representative demand, then the voltage concentration range is determined based on the quantity within the largest range. If the upper limit quantity ratio is not greater than the representative demand ratio, then the voltage range with a quantity ratio greater than the preset reasonable quantity ratio is defined as the voltage candidate range. Under each voltage candidate range, the single-point confidence coefficient is determined by calculation and analysis based on the required reference voltage of each unit interval and the current preceding reference voltage. The overall trust coefficient is determined by averaging all individual trust coefficients. The reasonable selection coefficient is then determined by calculating the overall trust coefficient and the proportion of ranges. The voltage candidate range corresponding to the largest reasonable selection coefficient is defined as the voltage aggregation range.

[0009] Optionally, after reasonably selecting and determining the coefficients, the intelligent speed regulation and control method for solar generators may also include: Determine whether there are at least two reasonable selection coefficients with the same and largest voltage alternative range; If there are no two voltage candidate ranges with the same and largest reasonable selection coefficients, then the voltage candidate range corresponding to the largest reasonable selection coefficient is defined as the voltage cluster range. If there are at least two voltage candidate ranges with the same and largest reasonable selection coefficient, then the voltage candidate range corresponding to the largest reasonable selection coefficient is defined as the voltage waiting range. The average voltage of each voltage waiting range is determined by calculating the average value of each reference changing voltage. Randomly select one range average voltage from all range average voltages to define it as the primary average voltage, and define the remaining range average voltages as secondary average voltages; The primary representative coefficient is determined based on the primary mean voltage and all secondary mean voltages, and the voltage waiting range corresponding to the largest primary representative coefficient is defined as the voltage cluster range.

[0010] Optionally, after the alarm signal is output, the intelligent speed regulation and control method for the solar generator also includes: Construct a comparison interval on the timeline with the current time point as the endpoint and a width of a preset comparison duration, where the comparison duration is greater than the unit duration; Within the comparison interval, combinations are made based on the proportion of each power error to construct a comparison error combination; A reference interval is constructed based on the comparison duration within the historical interval, and the alarm anomaly type is determined based on the reference interval. Furthermore, a reference error combination is constructed by combining the power error proportions within the reference interval. The similarity of the combinations is determined by calculation and analysis based on the reference error combination and the comparison error combination, and the alarm anomaly type of the reference interval corresponding to the largest combination similarity is output as the alarm reference type.

[0011] Optionally, after the alarm signal is output, the intelligent speed regulation and control method for the solar generator also includes: Obtain the actual exception type; When the actual anomaly type matches the alarm reference type, a success reference signal is output, and the number of successes is determined by counting the success reference signals over the historical time period. The alarm count is determined based on alarm signals over a historical period. The success rate is then calculated and output based on the alarm count and the number of successful alarms.

[0012] Secondly, this invention provides an intelligent speed regulation and control system for a solar generator, employing the following technical solution: A smart speed regulation and control system for a solar generator includes: The acquisition module is used to acquire the external light intensity; The processing module, connected to the acquisition and judgment modules, is used for information storage and processing; The judgment module, connected to the acquisition and processing modules, is used for judging information. When the judgment module determines that the external light intensity is greater than the preset effective power generation intensity, the processing module determines the effective power generation position according to the preset apparent solar motion algorithm and controls the generator to rotate to the effective power generation position. After the generator starts rotating, the processing module determines the required reference voltage and theoretical power generation capacity according to the preset maximum power point tracking algorithm. The processing module determines the equipment operating speed corresponding to the required reference voltage based on the preset speed matching relationship, controls the generator to operate at the equipment operating speed, and obtains the actual power generation during the operation. The processing module calculates the power error percentage based on the theoretical power generation and the actual power generation, and outputs an alarm signal when the power error percentage is greater than the preset permissible error percentage.

[0013] In summary, the present invention has at least one of the following beneficial technical effects: During the use of a solar generator, the external light conditions are analyzed to determine the appropriate speed for operation, resulting in better power generation and improved overall performance of the solar generator. The range of required reference voltage can be determined based on external environmental conditions, which facilitates the rapid determination of the required reference voltage and enables rapid adjustment of generator speed. Attached Figure Description

[0014] Figure 1 This is a flowchart of a smart speed regulation and control method for solar generators.

[0015] Figure 2 This is a flowchart of the module for intelligent speed regulation and control methods for solar generators. Detailed Implementation

[0016] To make the objectives, technical solutions, and advantages of this invention clearer, the following is combined with... Figures 1-2 The present invention will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0017] The embodiments of the present invention will now be described in further detail with reference to the accompanying drawings.

[0018] This invention discloses an intelligent speed regulation and control method for a solar generator, referring to... Figure 1 The method flow of intelligent speed regulation and control for solar generators includes the following steps: Step S100: Obtain the external light intensity.

[0019] The external light intensity is the value obtained by the irradiance sensor, which has a range of 0-1500 W / m. 2 .

[0020] Step S101: When the external light intensity is greater than the preset effective power generation intensity, the effective power generation position is determined according to the preset apparent solar motion algorithm, and the generator is controlled to rotate to the effective power generation position.

[0021] Effective power generation intensity is the minimum external solar irradiance set by staff for when the weather is deemed suitable for solar power generation, for example, 200 W / m². 2 When the external light intensity is greater than the effective power generation intensity, it indicates that the current solar generator needs to generate electricity. The apparent solar motion algorithm is an algorithm that can calculate the trajectory of the sun, which is existing technology in this field and will not be described in detail here. The effective power generation position is the angle position required for the solar panel to track the sun. By setting an external photosensitive sensor, this position can be corrected well, achieving a tracking accuracy of ±0.5°. At this time, rotating the panel of the solar generator to the effective power generation position can realize the effective utilization of solar energy.

[0022] Step S102: After the generator starts rotating, determine the required reference voltage and theoretical power generation capacity according to the preset maximum power point tracking algorithm.

[0023] The maximum power point tracking algorithm is an algorithm that can determine the location point where the maximum output power can be achieved, such as the perturbation observation method. The specific method can be selected by the staff according to the actual situation. The method used in this invention can be specifically referred to in steps S200-S204; the required reference voltage is the voltage at which the maximum output power is required, and the theoretical power generation power is the maximum power that can be output.

[0024] Step S103: Determine the equipment operating speed corresponding to the required reference voltage according to the preset speed matching relationship, control the generator to operate at the equipment operating speed, and obtain the actual power generation during the operation.

[0025] The operating speed of the equipment is the speed required for the generator to operate at the required reference voltage. The speed matching relationship between the two is determined by the staff through multiple tests in advance. At this time, controlling the generator to operate at the equipment operating speed can achieve the maximum power output. The actual power output is the power output under actual conditions.

[0026] Step S104: Calculate the power error ratio based on the theoretical power generation and the actual power generation, and output an alarm signal when the power error ratio is greater than the preset allowable error ratio.

[0027] The power error percentage is the difference between the theoretical power generation and the actual power generation. This difference is an absolute value. The permissible error percentage is the maximum power error percentage that is allowed when the generator is generating power normally, as set by the staff. For example, 15%. When the power error percentage is greater than the permissible error percentage, it indicates that there is a problem with the generator. An alarm signal is output to identify the situation for subsequent analysis. Problems with the generator include dust covering the generator board, internal short circuits, etc.

[0028] Maximum power point tracking algorithms include: Step S200: Obtain the preceding reference voltage and the preceding illumination intensity.

[0029] The preceding reference voltage is the required reference voltage obtained after the previous maximum power point tracking algorithm calculation. In order to reduce frequent disturbances, the application of the maximum power point tracking algorithm needs to be spaced out for a certain period of time, such as 5 minutes. The preceding illumination intensity is the external illumination intensity when the preceding reference voltage is obtained.

[0030] Step S201: Construct a historical interval with a preset historical duration on the preset timeline, with the current time point as the endpoint, and construct a unit interval within the historical interval according to the preset unit duration.

[0031] The time axis is a coordinate axis formed by combining various time points. This coordinate axis points from the time points that have already passed to the time points that have not yet been reached. The time points that have already passed are on the left side of the coordinate axis, and the left side of the coordinate axis is defined as the front side of the time axis. The historical duration is the total duration of the current solar generator being put into use as set by the staff. By constructing historical intervals, it is possible to acquire and analyze the data within the historical duration. The unit duration is the application duration of the maximum power point tracking algorithm as described above. Taking the example above, it is 5 minutes. By constructing unit intervals, data under each maximum power point tracking algorithm can be acquired and analyzed.

[0032] Step S202: Determine the interval similarity based on the external light intensity of the unit interval, the current external light intensity, and the previous light intensity, and define the unit interval with an interval similarity greater than the preset required similarity as a similar interval.

[0033] Interval similarity is a numerical value reflecting the degree of similarity between two intervals. The change in light intensity can be determined by calculating the difference between the external light intensity at the beginning and end of a unit interval. The change in current light intensity can be determined by the difference between the current external light intensity and the previous light intensity. The closer the two changes are, the greater the interval similarity. Interval similarity can be determined based on the changes between the changes. Demand similarity is the minimum interval similarity set by the staff for when the changes of two intervals are considered to be relatively similar. By defining similar intervals, different unit intervals can be distinguished, which facilitates subsequent analysis.

[0034] Step S203: Calculate the difference based on the required reference voltage within the similar range to determine the reference variable voltage, and calculate the variable voltage to be used based on all reference variable voltages.

[0035] The reference voltage change is the difference between the required reference voltages at two endpoints in a similar interval. The voltage change is the voltage change value that will occur under the current light change. It can be obtained by calculating the average of all reference voltage changes, or by calculating it through steps S300-S303.

[0036] Step S204: Determine the simulated starting voltage based on the preceding reference voltage and the calculated voltage using the variable voltage, and adjust in the same or opposite direction using the simulated starting voltage as the base point.

[0037] The simulated starting voltage is the possible value of the current required reference voltage, which is obtained by calculation using the preceding reference voltage and the variable voltage. At this time, adjusting in the same direction and in opposite directions based on the simulated starting voltage can quickly determine the required reference voltage, thereby improving the equipment response. The same direction and in opposite directions adjustment is the disturbance observation method adjustment, that is, first increase the voltage to the right. If the output power increases, continue to increase the voltage to the right, and vice versa. By continuously adjusting, the required reference voltage is determined.

[0038] The steps for determining the applicable voltage variation based on all reference voltage variations include: Step S300: Calculate based on preset similar parameters under each reference voltage variation to construct a similar voltage range.

[0039] The proximity parameter is the maximum allowable difference between two voltage values, as set by the staff. The two values ​​can be determined by adding and subtracting the proximity parameter from the reference voltage. Using these two values ​​as endpoints, the voltage range that the value closest to the reference voltage value needs to be constructed can be defined.

[0040] Step S301: Count the number of items within each voltage range based on the reference voltage change to determine the quantity within that range.

[0041] The quantity within the range is the value of the reference voltage change determined within a single voltage range.

[0042] Step S302: Determine the number of values ​​within the range with the largest value according to the preset sorting rules, and define the voltage range corresponding to the number of values ​​within this range as the voltage cluster range.

[0043] The sorting rules are methods set by staff to sort numerical values, such as the bubble sort method. By sorting rules, the number of values ​​in the range with the largest values ​​can be determined. This means that the number of reference voltage changes in the current voltage range is the largest. In other words, under the current illumination conditions, the voltage change value in this voltage range is the most normal. Therefore, voltage cluster ranges are defined to distinguish different voltage ranges for easier subsequent analysis.

[0044] Step S303: Calculate the average value of each reference variable voltage within the voltage aggregation range to determine the variable voltage to be used.

[0045] At this point, by calculating the average value based on the corresponding reference voltage within the voltage cluster range, a more accurate value for the voltage variation can be determined, thus improving the accuracy of data analysis.

[0046] Once the number of units within the range is determined, the intelligent speed regulation and control method for solar generators also includes: Step S400: Count all reference voltage changes to determine the total number of parameters, and calculate the range quantity percentage based on the number of parameters within the range and the total number of parameters, and define the largest range quantity percentage as the upper limit quantity percentage.

[0047] The total number of parameters is the number of all determined reference voltage variations. The range quantity ratio is the proportion of the quantity within the range to the total number of parameters, which is determined by dividing the quantity within the range by the total number of parameters. The upper limit quantity ratio is defined to distinguish the range quantity ratio corresponding to the most frequently occurring voltage, which facilitates subsequent analysis.

[0048] Step S401: Determine whether the upper limit quantity ratio is greater than the preset representative demand ratio.

[0049] The representative demand percentage is the minimum upper limit of the number of individual voltages that the staff sets to represent the current changes in illumination. The purpose of this judgment is to determine whether the voltage cluster range determined by the maximum number of voltages within the range can be effectively used for analysis.

[0050] Step S4011: If the upper limit quantity ratio is greater than the representative demand ratio, then determine the voltage concentration range based on the quantity in the middle of the largest range.

[0051] When the upper limit quantity accounts for a larger proportion than the representative demand, it indicates that the voltage range corresponding to the largest quantity in the current range can better reflect the voltage concentration situation. Therefore, it can be defined as the voltage concentration range for normal analysis.

[0052] Step S4012: If the upper limit quantity ratio is not greater than the representative demand ratio, then the voltage range with a similar quantity ratio that is greater than the preset reasonable quantity ratio is defined as the voltage candidate range.

[0053] When the upper limit quantity ratio is not greater than the representative demand ratio, it means that the voltage cluster range cannot be determined by the voltage similar range corresponding to the largest range of the middle quantity. Therefore, a voltage alternative range is defined to identify and distinguish different voltage similar ranges. The reasonable quantity ratio is the minimum range quantity ratio that needs to be achieved when the staff sets the location area where the identified voltage may appear, thereby reducing the screening of some voltage similar ranges and improving data analysis efficiency.

[0054] Step S402: Under each voltage candidate range, calculate and analyze based on the required reference voltage of each unit interval and the current preceding reference voltage to determine the single-point confidence coefficient.

[0055] The single-point trust coefficient is a parameter value that reflects the reliability of the data. It is determined by calculating the difference between the required reference voltage of the front end of the unit interval in the historical interval and the previous reference voltage. The smaller the difference, the closer the data is, that is, the higher the reliability. The data matching relationship between the two is determined by the staff in advance through multiple tests.

[0056] Step S403: Calculate the average of all single-point trust coefficients to determine the overall trust coefficient, and calculate the reasonable selection coefficient based on the overall trust coefficient and the proportion of ranges. Define the voltage candidate range corresponding to the largest reasonable selection coefficient as the voltage aggregation range.

[0057] The overall confidence coefficient is the average of all single-point confidence coefficients determined in a single voltage candidate range. By multiplying the overall confidence coefficient by the proportion of the range, a reasonable selection coefficient reflecting the rationality of the selected scheme can be determined. The larger the value, the more reasonable the determined voltage candidate range is as a voltage aggregation range. Therefore, the voltage aggregation range can be defined according to the voltage candidate range corresponding to the largest reasonable selection coefficient.

[0058] After the appropriate selection coefficients are determined, the intelligent speed regulation and control method for solar generators also includes: Step S500: Determine whether there are at least two reasonable selection coefficients with the same maximum voltage alternative range.

[0059] The purpose of the judgment is to determine whether there are multiple voltage candidate ranges that meet the requirements, so as to determine the unique voltage cluster range.

[0060] Step S5001: If there are no at least two voltage candidate ranges with the same and largest reasonable selection coefficient, then the voltage candidate range corresponding to the largest reasonable selection coefficient is defined as the voltage cluster range.

[0061] When there are no at least two voltage candidate ranges with the same and largest reasonable selection coefficients, it means that there is only one voltage candidate range that meets the requirements, so it can be defined as the voltage cluster range.

[0062] Step S5002: If there are at least two voltage candidate ranges with the same and largest reasonable selection coefficient, then the voltage candidate range corresponding to the largest reasonable selection coefficient is defined as the voltage waiting range.

[0063] When there are at least two voltage candidate ranges with the same and largest reasonable selection coefficients, it indicates that there are multiple voltage candidate ranges that meet the requirements. Therefore, this range is defined as the voltage waiting range to distinguish between different voltage candidate ranges and facilitate subsequent analysis.

[0064] Step S501: Calculate the average value of each reference voltage change within each voltage waiting range to determine the range average voltage.

[0065] The range-averaged voltage is the average value of each reference voltage variation within the voltage waiting range.

[0066] Step S502: Randomly select one range average voltage from all range average voltages to define it as the primary average voltage, and define the remaining range average voltages as secondary average voltages.

[0067] By defining primary and secondary mean voltages, we can distinguish between mean voltages in different ranges, which facilitates subsequent analysis.

[0068] Step S503: Determine the primary representative coefficient based on the primary mean voltage and all secondary mean voltages, and define the voltage waiting range corresponding to the largest primary representative coefficient as the voltage cluster range.

[0069] The primary representative coefficient is a parameter reflecting the reasonableness of the current primary average voltage in representing the other secondary average voltages. That is, whether the primary average voltage is close to the other secondary average voltages. It can be obtained by calculating the reciprocal of the sum of the absolute values ​​of the differences between the primary average voltage and the secondary average voltages. At this time, the voltage waiting range corresponding to the largest primary representative coefficient is defined as the voltage aggregation range so that if the voltage does not meet the requirements during the subsequent voltage adjustment process, it can be as close as possible to the required parameter value.

[0070] After the alarm signal is output, the intelligent speed regulation and control method for solar generators also includes: Step S600: Construct a comparison interval on the timeline with the current time point as the endpoint and a width of a preset comparison duration, wherein the comparison duration is greater than the unit duration.

[0071] The comparison duration is an integer multiple of the unit duration, typically 5-10 times. By constructing a comparison interval, data within the comparison duration can be acquired and analyzed.

[0072] Step S601: Combine the power error proportions in the comparison interval to construct the comparison error combination.

[0073] The comparison error combination is a combination of the proportions of each power error according to the time sequence.

[0074] Step S602: Construct a reference interval based on the comparison duration in the historical interval, determine the alarm anomaly type based on the reference interval, and construct a reference error combination based on the proportion of each power error in the reference interval.

[0075] The reference interval is a time interval with a width equal to the comparison duration within the historical interval. The alarm anomaly type is the possible anomaly type under the current circumstances when an alarm signal is output synchronously within the reference interval, which is also the subsequent alarm reference type. When there is no alarm signal in the reference interval, the corresponding reference interval is automatically removed. The reference error combination is a combination of the proportions of each power error according to the chronological order.

[0076] Step S603: Calculate and analyze the reference error combination and the comparison error combination to determine the combination similarity, and output the alarm anomaly type of the reference interval corresponding to the largest combination similarity as the alarm reference type.

[0077] Combination similarity is a parameter value that reflects the degree of similarity between the reference error combination and the comparison error combination. It can be obtained by calculating the difference between the parameters corresponding to the positions in the reference error combination and the comparison error combination to determine the absolute value of the difference. Then, all absolute values ​​are added together and divided by a preset fixed weight parameter to obtain the combination similarity. At this point, the highest combination similarity indicates that the possible abnormal types of the two are more similar. Therefore, the corresponding alarm abnormal type is output as the alarm reference type to provide staff with a reference for the cause of the abnormality, which is convenient for subsequent maintenance and handling.

[0078] After the alarm signal is output, the intelligent speed regulation and control method for solar generators also includes: Step S700: Obtain the actual exception type.

[0079] The actual anomaly type is the type of defect that actually exists in the generator, which is entered by the staff after verifying the alarm signal situation within the reference range.

[0080] Step S701: When the actual abnormality type matches the alarm reference type, output a success reference signal and count the number of successes based on the success reference signal in the historical time.

[0081] When the actual anomaly type matches the alarm reference type, it indicates that the method of steps S600-S603 has been used to effectively provide an anomaly reference, and a successful reference signal is output to identify the situation; the number of successes is the total number of successful reference signals output within the historical time period.

[0082] Step S702: Count the alarm signals in the historical time to determine the number of alarms, and calculate and output the success rate based on the number of alarms and the number of successes.

[0083] The alarm count is the total number of alarm signals that occurred during the historical period. By dividing the number of successful alarms by the number of alarms, we can obtain the success rate, which can be used as a reference. Outputting this success rate can reflect the current advantages of the system.

[0084] Reference Figure 2 Based on the same inventive concept, embodiments of the present invention provide an intelligent speed regulation and control system for a solar generator, comprising: The acquisition module is used to acquire the external light intensity; The processing module, connected to the acquisition and judgment modules, is used for information storage and processing; The judgment module, connected to the acquisition and processing modules, is used for judging information. When the judgment module determines that the external light intensity is greater than the preset effective power generation intensity, the processing module determines the effective power generation position according to the preset apparent solar motion algorithm and controls the generator to rotate to the effective power generation position. After the generator starts rotating, the processing module determines the required reference voltage and theoretical power generation capacity according to the preset maximum power point tracking algorithm. The processing module determines the equipment operating speed corresponding to the required reference voltage based on the preset speed matching relationship, controls the generator to operate at the equipment operating speed, and obtains the actual power generation during the operation. The processing module calculates the power error ratio based on the theoretical power generation and the actual power generation, and outputs an alarm signal when the power error ratio is greater than the preset allowable error ratio. The maximum power point tracking module is used to track and determine the point of maximum output power. A variable voltage determination module is used to determine the use of variable voltage; The voltage concentration range determination module is used to determine a suitable voltage concentration range; The voltage candidate range filtering module is used to filter multiple voltage candidate ranges that meet the requirements. The alarm reference type determination module determines the possible types of the current alarm situation; The type prediction and evaluation module is used to evaluate the accuracy of alarm reference type determination.

[0085] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

Claims

1. A method for intelligent speed regulation and control of a solar generator, characterized in that, include: Obtain the intensity of external light; When the external light intensity is greater than the preset effective power generation intensity, the effective power generation position is determined according to the preset apparent solar motion algorithm, and the generator is controlled to rotate to the effective power generation position. After the generator starts rotating, the required reference voltage and theoretical power generation are determined according to the preset maximum power point tracking algorithm; The operating speed of the equipment corresponding to the required reference voltage is determined according to the preset speed matching relationship, and the generator is controlled to operate at the equipment operating speed, and the actual power generation is obtained during the operation. The power error percentage is determined by calculation based on the theoretical power generation and the actual power generation, and an alarm signal is output when the power error percentage is greater than the preset allowable error percentage.

2. The intelligent speed regulation and control method for solar generators according to claim 1, characterized in that, Maximum power point tracking algorithms include: Obtain the preceding reference voltage and preceding illumination intensity; Construct a historical interval with a preset historical duration on a preset timeline, with the current time point as the endpoint, and construct a unit interval within the historical interval based on a preset unit duration; The similarity of a unit interval is determined based on the external light intensity, the current external light intensity, and the previous light intensity. Unit intervals with a similarity greater than the preset required similarity are defined as similar intervals. Within a similar range, the reference voltage variation is determined by calculating the difference based on the required reference voltage, and the applicable voltage variation is determined by calculating based on all reference voltage variation. The simulated starting voltage is determined based on the preceding reference voltage and the calculation using the varying voltage, and adjustments are made in both directions using the simulated starting voltage as the base point.

3. The intelligent speed regulation and control method for solar generators according to claim 2, characterized in that, The steps for determining the applicable voltage variation based on all reference voltage variations include: Under each reference voltage variation, calculations are performed based on preset similar parameters to construct a similar voltage range; The number of items within each voltage range is determined by counting based on the reference voltage variation. The maximum number of values ​​within a given range is determined according to a preset sorting rule, and the voltage range corresponding to this maximum number of values ​​is defined as the voltage cluster range. The average value of each reference voltage variation is calculated within the voltage aggregation range to determine the voltage variation to be used.

4. The intelligent speed regulation and control method for a solar generator according to claim 3, characterized in that, Once the number of units within the range is determined, the intelligent speed regulation and control method for solar generators also includes: The total number of parameters is determined by counting all reference voltage changes, and the proportion of the range number is determined by calculating the number of parameters within the range and the total number of parameters. The largest proportion of the range number is defined as the upper limit proportion of the number. Determine whether the percentage of the upper limit quantity is greater than the preset percentage of representative demand; If the upper limit quantity accounts for a larger proportion than the representative demand, then the voltage concentration range is determined based on the quantity within the largest range. If the upper limit quantity ratio is not greater than the representative demand ratio, then the voltage range with a quantity ratio greater than the preset reasonable quantity ratio is defined as the voltage candidate range. Under each voltage candidate range, the single-point confidence coefficient is determined by calculation and analysis based on the required reference voltage of each unit interval and the current preceding reference voltage. The overall trust coefficient is determined by averaging all individual trust coefficients. The reasonable selection coefficient is then determined by calculating the overall trust coefficient and the proportion of ranges. The voltage candidate range corresponding to the largest reasonable selection coefficient is defined as the voltage aggregation range.

5. The intelligent speed regulation and control method for a solar generator according to claim 4, characterized in that, After the appropriate selection coefficients are determined, the intelligent speed regulation and control method for solar generators also includes: Determine whether there are at least two reasonable selection coefficients with the same and largest voltage alternative range; If there are no two voltage candidate ranges with the same and largest reasonable selection coefficients, then the voltage candidate range corresponding to the largest reasonable selection coefficient is defined as the voltage cluster range. If there are at least two voltage candidate ranges with the same and largest reasonable selection coefficient, then the voltage candidate range corresponding to the largest reasonable selection coefficient is defined as the voltage waiting range. The average voltage of each voltage waiting range is determined by calculating the average value of each reference changing voltage. Randomly select one range average voltage from all range average voltages to define it as the primary average voltage, and define the remaining range average voltages as secondary average voltages; The primary representative coefficient is determined based on the primary mean voltage and all secondary mean voltages, and the voltage waiting range corresponding to the largest primary representative coefficient is defined as the voltage cluster range.

6. The intelligent speed regulation and control method for a solar generator according to claim 1, characterized in that, After the alarm signal is output, the intelligent speed regulation and control method for solar generators also includes: Construct a comparison interval on the timeline with the current time point as the endpoint and a width of a preset comparison duration, where the comparison duration is greater than the unit duration; Within the comparison interval, combinations are made based on the proportion of each power error to construct a comparison error combination; A reference interval is constructed based on the comparison duration within the historical interval, and the alarm anomaly type is determined based on the reference interval. Furthermore, a reference error combination is constructed by combining the power error proportions within the reference interval. The similarity of the combinations is determined by calculation and analysis based on the reference error combination and the comparison error combination, and the alarm anomaly type of the reference interval corresponding to the largest combination similarity is output as the alarm reference type.

7. The intelligent speed regulation and control method for a solar generator according to claim 6, characterized in that, After the alarm signal is output, the intelligent speed regulation and control method for solar generators also includes: Obtain the actual exception type; When the actual anomaly type matches the alarm reference type, a success reference signal is output, and the number of successes is determined by counting the success reference signals over the historical time period. The alarm count is determined based on alarm signals over a historical period. The success rate is then calculated and output based on the alarm count and the number of successful alarms.

8. A smart speed regulation and control system for a solar generator, characterized in that, include: The acquisition module is used to acquire the external light intensity; The processing module, connected to the acquisition and judgment modules, is used for information storage and processing; The judgment module, connected to the acquisition and processing modules, is used for judging information. When the judgment module determines that the external light intensity is greater than the preset effective power generation intensity, the processing module determines the effective power generation position according to the preset apparent solar motion algorithm and controls the generator to rotate to the effective power generation position. After the generator starts rotating, the processing module determines the required reference voltage and theoretical power generation capacity according to the preset maximum power point tracking algorithm. The processing module determines the equipment operating speed corresponding to the required reference voltage based on the preset speed matching relationship, controls the generator to operate at the equipment operating speed, and obtains the actual power generation during the operation. The processing module calculates the power error percentage based on the theoretical power generation and the actual power generation, and outputs an alarm signal when the power error percentage is greater than the preset permissible error percentage.

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