A method and device for determining the output of a solar thermal power plant and an electronic device

By predicting the maximum thermal energy storage capacity of a solar thermal power plant, determining the first and second solar thermal data, and integrating them to generate the power output result of the solar thermal power plant, the problem of low accuracy in power output calculation of solar thermal power plants is solved, and more accurate power generation determination is achieved.

CN116797399BActive Publication Date: 2026-08-25ELECTRIC POWER PLANNING & ENG INST CO LTD +1
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Patent Information

Application Number
CN202210272205.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-03-18
Publication Date
2026-08-25
Estimated Expiration
2042-03-18

AI Technical Summary

Technical Problem

The current technology for calculating the output of solar thermal power plants has low accuracy, as it ignores the process of solar thermal power collection and storage, leading to inaccurate output calculations in the power system.

Method used

By predicting the maximum thermal energy storage capacity of a solar thermal power plant, determining the first and second solar thermal data, and integrating them to generate the power output result of the solar thermal power plant, the calculation accuracy is improved by considering the solar thermal collection and thermal energy storage power generation processes.

Benefits of technology

This improves the accuracy of power output calculation for solar thermal power plants in the power system, allowing for more precise determination of power generation capacity.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present disclosure provides a method and device for determining the output of a photothermal power station and an electronic device, and relates to the technical field of power grids. The specific implementation scheme is as follows: predicting the maximum heat storage power of the photothermal power station; determining first photothermal data according to the maximum heat storage power, the first photothermal data representing the photothermal power generation power and the heat storage power of the photothermal power station in N time periods, N being an integer greater than 1; determining second photothermal data according to the first photothermal data, the second photothermal data representing the photothermal power generation power and the heat storage power of the photothermal power station after adjustment in N time periods; and generating an output result of the photothermal power station based on the first photothermal data and the second photothermal data, the output result being obtained by integrating the first photothermal data and the second photothermal data and being used to determine the photothermal power generation power. The present disclosure can improve the calculation accuracy of the output of the photothermal power station in the power system.
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Description

Technical Field

[0001] This invention relates to the field of power grid technology, and in particular to a method, apparatus, and electronic equipment for determining the output of a solar thermal power plant. Background Technology

[0002] Nowadays, solar thermal power plants have become one of the main generator units in the power system. Solar thermal power generation technology uses reflectors to concentrate the direct radiation of the sun to obtain thermal energy, and then converts the thermal energy into mechanical energy to drive the generator to generate electricity.

[0003] In existing technologies, the output of solar thermal power plants in power systems is usually calculated using two methods. One method is to calculate the output of solar thermal power plants by equating it with the output of thermal power plants. However, this method ignores the process of concentrating and storing heat in solar thermal power plants, treating heat as fuel. The other method is to calculate the output of solar thermal power plants by equating it with photovoltaic power generation. However, this method ignores the process of heat storage and power generation in solar thermal power plants, resulting in lower accuracy in calculating the output of solar thermal power plants in power systems. Summary of the Invention

[0004] This disclosure provides a method, apparatus, electronic device, and storage medium for determining the output of a solar thermal power plant, in order to solve the problem of low output calculation accuracy of solar thermal power plants in power systems.

[0005] According to one aspect of this disclosure, a method for determining the output of a concentrated solar power (CSP) plant is provided, comprising:

[0006] Predict the maximum thermal power storage capacity of a solar thermal power plant;

[0007] The first solar thermal data is determined based on the maximum thermal energy storage capacity. The first solar thermal data represents the solar thermal power generation and thermal energy storage capacity of the solar thermal power plant in N time periods, where N is an integer greater than 1.

[0008] The second solar thermal data is determined based on the first solar thermal data, and the second solar thermal data represents the solar thermal power generation and thermal energy storage of the solar thermal power plant for N time periods after adjustment.

[0009] The output result of the solar thermal power plant is generated based on the first solar thermal data and the second solar thermal data. The output result is obtained by integrating the first solar thermal data and the second solar thermal data and is used to determine the power generation capacity of the solar thermal power plant.

[0010] According to another aspect of this disclosure, an output determination device for a concentrated solar power plant is provided, comprising:

[0011] The first prediction module is used to predict the maximum thermal energy storage capacity of the solar thermal power plant.

[0012] The first generation module is used to determine the first solar thermal data based on the maximum thermal energy storage capacity. The first solar thermal data represents the solar thermal power generation and thermal energy storage capacity of the solar thermal power plant in N time periods, where N is an integer greater than 1.

[0013] The second generation module is used to determine the second solar thermal data based on the first solar thermal data. The second solar thermal data represents the solar thermal power generation and thermal storage power of the solar thermal power plant for N time periods after adjustment.

[0014] The third generation module is used to generate the output result of the solar thermal power plant based on the first solar thermal data and the second solar thermal data. The output result is obtained by integrating the first solar thermal data and the second solar thermal data and is used to determine the power generation capacity of the solar thermal power plant.

[0015] According to another aspect of this disclosure, an electronic device is provided, comprising:

[0016] At least one processor; and

[0017] A memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the power output determination method for a solar thermal power plant provided in this disclosure.

[0019] According to another aspect of this disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to cause the computer to execute the power output determination method for a solar thermal power plant provided in this disclosure.

[0020] In this disclosure, the maximum thermal energy storage capacity of the solar thermal power plant is first predicted, and the first solar thermal data is determined by the obtained maximum thermal energy storage capacity. Then, the second solar thermal data is determined by the first solar thermal data. Finally, the first solar thermal data and the second solar thermal data are integrated to obtain the output result of the solar thermal power plant. The output result is obtained by integrating the first solar thermal data and the second solar thermal data and is used to determine the power generation capacity of the solar thermal power plant. By determining the power generation capacity of the solar thermal power plant using this method, the calculation accuracy of the power output of the solar thermal power plant in the power system can be improved.

[0021] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this disclosure, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0022] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein:

[0023] Figure 1 This is a flowchart of a method for determining the output of a solar thermal power plant provided in this disclosure;

[0024] Figure 2 This is another flowchart of a method for determining the output of a solar thermal power plant provided in this disclosure;

[0025] Figure 3 This is another flowchart of a method for determining the output of a solar thermal power plant provided in this disclosure;

[0026] Figure 4 This is a structural diagram of a power output determination device for a solar thermal power plant provided in this disclosure;

[0027] Figure 5 This is another structural diagram of a power output determination device for a solar thermal power plant provided in this disclosure;

[0028] Figure 6 This is another structural diagram of a power output determination device for a solar thermal power plant provided in this disclosure;

[0029] Figure 7 This is a block diagram of an electronic device used to implement the power output determination method of a solar thermal power plant according to embodiments of the present disclosure. Detailed Implementation

[0030] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0031] Please see Figure 1 , Figure 1 This is a flowchart of a method for determining the processing parameters of a concentrated solar power plant, as provided in this disclosure. Figure 1 As shown, it includes the following steps:

[0032] Step S101: Predict the maximum thermal energy storage capacity of the solar thermal power plant.

[0033] The prediction of the maximum thermal energy storage capacity can be obtained by calculating the parameters in the solar thermal power plant. It can usually be obtained by multiplying the thermal energy storage duration and the unit capacity in the solar thermal power plant.

[0034] In addition to obtaining parameters such as thermal storage duration and unit capacity, the corresponding load curve, solar power curve, and minimum output parameters of the solar thermal power plant can also be obtained. This embodiment of the invention does not limit the specific parameters.

[0035] Step S102: Determine the first solar thermal data based on the maximum thermal energy storage capacity. The first solar thermal data represents the solar thermal power generation and thermal energy storage capacity of the solar thermal power plant in N time periods, where N is an integer greater than 1.

[0036] Before determining the first solar thermal data based on the maximum thermal energy storage capacity, the corresponding load curve, solar power curve, and minimum output parameters of the solar thermal power plant can be obtained. Then, a calculation model of the corresponding solar thermal power generation process in the solar thermal power plant can be constructed using these parameters, namely, the solar thermal power generation model. The first solar thermal data is obtained through time-by-time calculation. The first solar thermal data represents the solar thermal power generation capacity and thermal energy storage capacity of the solar thermal power plant in N time periods. Usually, the solar thermal power generation capacity can also be described by the solar thermal power generation operating position of the solar thermal power plant.

[0037] The operation time of the solar thermal power plant is divided into N time periods. The solar thermal power generation and thermal energy storage of each time period are calculated to obtain the cumulative thermal energy storage of the solar thermal power plant during the operation time period. Then, the cumulative thermal energy storage of the solar thermal power plant is compared with the maximum thermal energy storage of the solar thermal power plant. Finally, the updated data of all N time periods are obtained. The updated data includes the latest solar thermal power generation and thermal energy storage.

[0038] Step S103: Determine the second solar thermal data based on the first solar thermal data. The second solar thermal data represents the solar thermal power generation and thermal energy storage of the solar thermal power plant over N time periods after adjustment.

[0039] The determination of the second solar thermal data can be based on the first solar thermal data. In addition, before determining the second solar thermal data based on the first solar thermal data, the corresponding load curve of the solar thermal power plant can be obtained. Combined with the solar thermal power generation, thermal energy storage, and cumulative thermal energy storage obtained in step S102, a calculation model of the corresponding solar thermal energy storage discharge process in the solar thermal power plant can be constructed, namely, the solar thermal energy storage discharge model. The second solar thermal data is obtained by calculating each time period. The second solar thermal data represents the solar thermal power generation and thermal energy storage after the adjustment of the solar thermal power plant in N time periods. Usually, the solar thermal power generation can also be described by the solar thermal power generation operating position of the solar thermal power plant.

[0040] First, the solar thermal power generation and thermal energy storage are calculated for N time periods within the tolerance range. The thermal energy storage is the actual thermal energy storage. Then, the second solar thermal data is obtained by using the solar thermal power generation and the minimum output of the solar thermal power plant. The second solar thermal data represents the solar thermal power generation and thermal energy storage for N time periods after the solar thermal power plant is adjusted.

[0041] It should be noted that the aforementioned solar thermal power generation capacity and the minimum output of the aforementioned solar thermal power plant can be determined by judging the magnitude of the two, further calculating the difference between the net load curve and the regulating power of the aforementioned solar thermal power plant, and adjusting the aforementioned solar thermal power generation capacity.

[0042] Step S104: Generate the output result of the solar thermal power plant based on the first solar thermal data and the second solar thermal data. The output result is obtained by integrating the first solar thermal data and the second solar thermal data and is used to determine the power generation capacity of the solar thermal power plant.

[0043] The above output result can be obtained by integrating the first and second solar thermal data. The integration method can be set according to the actual working environment and other parameters of the solar thermal power plant. It can be obtained by averaging the values ​​of the first and second solar thermal data, or by adjusting the values ​​of the first and second solar thermal data according to a certain proportion.

[0044] In this implementation plan, the maximum thermal energy storage capacity of the solar thermal power plant is first predicted using the obtained parameters. The first thermal energy storage capacity is then used to determine the first thermal energy data. Next, the second thermal energy data is determined using the first thermal energy data. Finally, the first and second thermal energy data are integrated to obtain the power output result of the solar thermal power plant. The power output result, obtained by integrating the first and second thermal energy data, is used to determine the power generation capacity of the solar thermal power plant. This method takes into account both the solar thermal collection and power generation process and the solar thermal storage and discharge process of the solar thermal power plant. By determining the power generation capacity of the solar thermal power plant using this method, the calculation accuracy of the power output of the solar thermal power plant in the power system can be improved.

[0045] As an optional implementation, predicting the maximum thermal energy storage capacity of the solar thermal power plant includes determining the maximum thermal energy storage capacity using the following formula:

[0046] Q max =t×l

[0047] Among them, Q max t represents the maximum thermal energy storage capacity, l represents the thermal energy storage duration of the solar thermal power plant unit, and l represents the capacity of the solar thermal power plant unit.

[0048] In this implementation scheme, the maximum thermal energy storage capacity can be determined by multiplying the thermal energy storage duration of the solar thermal power plant unit and the capacity of the solar thermal power plant unit. In addition to obtaining the thermal energy storage duration and capacity of the solar thermal power plant unit, parameters such as the load curve, solar power curve, and minimum output of the solar thermal power plant can also be obtained. This embodiment calculates the maximum thermal energy storage capacity based on the obtained parameters of the solar thermal power plant. This method uses the data of the actual solar thermal power plant as the calculation basis, which improves the calculation accuracy of the output of the solar thermal power plant in the power system.

[0049] As an optional implementation, determining the first solar thermal data based on the maximum thermal energy storage capacity includes: dividing the time period from the start to the end of operation of the solar thermal power plant into N time periods, initializing a first parameter group, and obtaining an initialization result, wherein the first parameter group includes at least one of the following: power generation, thermal energy storage capacity, and cumulative thermal energy storage capacity; determining the power generation status and thermal energy storage status of the solar thermal power plant in the current time period; determining a first calculation result based on the power generation status and the thermal energy storage status, wherein the first calculation result includes at least one of the following: cumulative charging amount, power generation in each time period, and charging amount in each time period; and determining the first solar thermal data based on the first calculation result and the maximum thermal energy storage capacity.

[0050] The initialization result can be achieved by zeroing out the first parameter group, or by determining the power generation and thermal storage status of the solar thermal power plant by comparing the current period's light power with the minimum output of the solar thermal power plant unit, and then calculating the solar thermal power generation and thermal storage power in the corresponding status, and finally integrating them to obtain the first calculation result. The first calculation result includes the cumulative charging amount, the power generation in each period, and the charging amount in each period.

[0051] The aforementioned first solar thermal data can be determined based on the relationship between the aforementioned cumulative thermal energy storage power and the aforementioned maximum thermal energy storage power in the aforementioned first calculation result. Subsequently, the solar thermal power generation power and thermal energy storage power of the aforementioned N time periods are updated to obtain the aforementioned first solar thermal data.

[0052] See also Figure 2 , Figure 2 This is another flowchart illustrating a method for determining the output of a concentrated solar power (CSP) plant. The flowchart shows the process of determining the aforementioned first CSP data, as follows: Figure 3As shown, firstly, based on the pre-acquired load curve and other solar thermal parameters, the power generation, thermal storage capacity, and cumulative thermal storage capacity are initialized starting from the initial time period. Then, the relationship between the current solar power and the minimum output of the generator unit is determined to obtain the power generation and thermal storage status of the solar thermal power plant. If the solar power is greater than or equal to the minimum output of the generator unit, the relationship between the solar power and the generator unit capacity is further determined. If the solar power is greater than the generator unit capacity, the solar thermal power generation and thermal storage capacity for the current time period are calculated. If the solar power is less than the minimum output of the generator unit, it means that the solar thermal power plant cannot generate electricity or store thermal energy for the current time period. If the solar power is less than or equal to the generator unit capacity, it means that the solar thermal power plant can only generate electricity and cannot store thermal energy for the current time period. The results obtained above represent the power generation and thermal storage status of the solar thermal power plant.

[0053] The solar thermal power generation and thermal energy storage are calculated sequentially for N time periods, and the cumulative thermal energy storage is calculated. Then, the cumulative solar thermal charging and the power generation and charging data for N time periods are obtained. The cumulative thermal energy storage is compared with the maximum thermal energy storage. If the cumulative thermal energy storage is greater than the maximum thermal energy storage, the time period in which the solar thermal power generation is greater than 0 and less than the unit capacity is selected. The power generation is increased until the cumulative thermal energy storage equals the maximum thermal energy storage. The solar thermal power generation and thermal energy storage for N time periods are then updated, thus obtaining the first solar thermal data mentioned above.

[0054] In this implementation scheme, by dividing the working time of the solar thermal power plant into N time periods and initializing the first parameter group, the latest data calculation and analysis of the solar thermal power plant can be obtained, thereby improving the accuracy of determining the output of the solar thermal power plant. The determination of the power generation state and the thermal storage state can obtain the cumulative thermal storage power when the solar power is greater than the unit capacity. By further judging the relationship between the cumulative thermal storage power and the maximum thermal storage power, the first solar thermal data can be adjusted, thereby improving the calculation accuracy of the output of the solar thermal power plant in the power system.

[0055] As an optional implementation, determining the first solar thermal data based on the first calculation result and the maximum thermal energy storage capacity includes: based on the first calculation result, determining the cumulative thermal energy storage capacity and the maximum thermal energy storage capacity during the period from the start to the end of operation of the solar thermal power plant; if the cumulative thermal energy storage capacity is greater than the maximum thermal energy storage capacity, then selecting a period when the solar thermal power generation capacity is greater than zero and less than the unit capacity, increasing the power generation capacity until the cumulative thermal energy storage capacity equals the maximum thermal energy storage capacity, updating the solar thermal power generation capacity and thermal energy storage capacity for all periods, and obtaining the first solar thermal data; if the cumulative thermal energy storage capacity is less than or equal to the maximum thermal energy storage capacity, then updating the solar thermal power generation capacity and thermal energy storage capacity for all periods, and obtaining the first solar thermal data.

[0056] In this implementation scheme, the first calculation result is adjusted. When the cumulative thermal energy storage capacity is greater than the maximum thermal energy storage capacity, for the period when the solar thermal power generation capacity is greater than 0 and less than the unit capacity, the power generation capacity is increased until the cumulative thermal energy storage capacity equals the maximum thermal energy storage capacity. The solar thermal power generation capacity and thermal energy storage capacity for N periods are then updated to obtain the first solar thermal data. This method can fine-tune the first calculation result based on the actual data of the solar thermal power plant, thereby improving the calculation accuracy of the power output of the solar thermal power plant in the power system.

[0057] As an optional implementation, the step of predicting and determining the second solar thermal data based on the first solar thermal data includes: predicting the actual thermal storage discharge of the solar thermal power plant; determining the second calculation result based on the actual thermal storage discharge and the first parameter set, wherein the second calculation result represents the power generation of the solar thermal power plant in each time period; and adjusting the second calculation result by adjusting the difference to obtain the second solar thermal data.

[0058] The determination of the second solar thermal data can be based on the first solar thermal data. First, the actual thermal storage discharge of the solar thermal power plant can be determined, which can be obtained from the load curve, maximum load and unit capacity of the solar thermal power plant. Then, the relationship between the actual thermal storage discharge and the cumulative thermal storage discharge is determined. The relationship between the two indicates the tolerance of the calculation result. If the tolerance is within the preset range, the solar thermal power generation power of N time periods is directly calculated, which is the second calculation result.

[0059] The second calculation result is adjusted according to preset conditions. The preset conditions may be to determine the power generation and minimum output of the solar thermal power plant, and to calculate the difference between the net load curve and the regulating power. Based on this difference, the solar thermal power generation and thermal storage power are adjusted for N time periods to obtain the second solar thermal data.

[0060] See also Figure 3 , Figure 3 This is another flowchart illustrating a method for determining the output of a concentrated solar power (CSP) plant. The flowchart shows the process of determining the aforementioned second CSP data. Figure 3As shown, the actual thermal energy storage discharge can be calculated by constructing a rectangle and using the rectangle to calculate the interaction area with the load curve. The rectangle can be constructed with the maximum load as the upper baseline, the unit capacity minus the upper baseline as the lower baseline, the start time of the solar thermal power plant as the left boundary, and the end time of the solar thermal power plant as the right boundary. The actual thermal energy storage discharge is compared with the cumulative thermal energy storage discharge. If the actual thermal energy storage discharge is less than the cumulative thermal energy storage discharge, it means the interaction area between the load curve and the rectangle equals the area of ​​the rectangle. In this case, the rectangle needs to be moved downwards to continue scanning and the actual thermal energy storage discharge needs to be recalculated. If the actual thermal energy storage discharge is greater than the cumulative thermal energy storage, the rectangle needs to be moved upwards to continue scanning and the actual thermal energy storage discharge needs to be recalculated. This process continues until the relationship between the actual thermal energy storage discharge and the cumulative thermal energy storage is within a preset tolerance range, at which point the second calculation result is obtained.

[0061] After obtaining the second calculation result, it is determined whether there is a moment in the N time periods where the power generation is less than the minimum output. If there is no moment where the power generation is less than the minimum output, the second calculation result is directly used as the second solar thermal data. If there is a moment where the power generation is less than the minimum output, the difference between the net load curve and the regulating power is calculated, and the power generation during the maximum and minimum load periods is kept unchanged. For all other remaining time periods, the power generation is adjusted with the maximum net load as the upper limit and the minimum net load as the lower limit.

[0062] It should be noted that after adjusting the power generation, it is possible to determine whether the differential adjustment of N time periods can be completed. If there are environmental or technical problems in adjusting the differential adjustment of all time periods, the N time periods will be finely adjusted on average until the differential adjustment is completed. If the differential adjustment of all time periods can be completed, the data after the differential adjustment is completed will be used as the second solar thermal data mentioned above.

[0063] In this implementation scheme, the actual thermal storage discharge is first obtained using parameters such as maximum load, unit capacity, and load curve. Then, by determining the relationship between the actual thermal storage discharge and the first set of parameters, a second calculation result representing N time periods is determined. This second calculation result is then adjusted using preset conditions to obtain the second solar thermal data, or the second calculation result can be directly used as the second solar thermal data. This method reduces the error impact of each parameter in the solar thermal power plant on the results, thereby improving the calculation accuracy of the solar thermal power plant's output in the power system.

[0064] As an optional implementation, predicting the actual thermal energy storage discharge of the solar thermal power plant includes: constructing a reference rectangle, wherein the reference rectangle has the maximum load of the solar thermal power plant as the upper baseline, the unit capacity of the solar thermal power plant minus the upper baseline as the lower baseline, the start time of the solar thermal power plant as the left boundary, and the end time of the solar thermal power plant as the right boundary; calculating the intersection area of ​​the reference rectangle and the load curve of the solar thermal power plant, and the power generation during the intersection process of the reference rectangle and the load curve of the solar thermal power plant; determining the actual thermal energy storage discharge based on the intersection area and the power generation, wherein the thermal energy storage discharge is the difference between the intersection area and the power generation.

[0065] In this implementation scheme, by constructing a reference rectangle, the actual thermal storage discharge amount can be directly obtained from the area of ​​intersection between the load curve and the reference rectangle. This improves the calculation efficiency and the accuracy of the calculation of the actual thermal storage discharge amount, thereby improving the calculation accuracy of the power output of the solar thermal power plant in the power system.

[0066] As an optional implementation, adjusting the second calculation result by adjusting the difference to obtain the second solar thermal data includes: based on the second calculation result, determining the magnitude of the power generation and minimum output during the operation of the solar thermal power plant; if at a certain moment during the operation of the solar thermal power plant, the power generation is less than the minimum output, then the adjustment difference is calculated and the second calculation result is finely adjusted, and the adjusted second calculation result is used as the second solar thermal data; if during the operation of the solar thermal power plant, the power generation is always greater than or equal to the minimum output, then the second calculation result is used as the second solar thermal data.

[0067] This implementation plan involves adjusting the aforementioned second calculation result. Using the relationship between the power generation and minimum output parameters, it determines whether the second calculation result can be used as the second solar thermal data. If adjustment is needed, the net load curve and the adjustment power difference are calculated, and the power generation is adjusted accordingly. The completion of the adjustment difference corresponds to two processing methods for the aforementioned second calculation result. If environmental or technical problems exist in adjusting the difference across all time periods, the N time periods are averaged and fine-tuned until the adjustment difference is completed. If the difference adjustment for all time periods can be completed, the adjusted data is used as the aforementioned second solar thermal data. This method can reduce calculation errors caused by other parameters in the solar thermal power plant, thereby improving the calculation accuracy of the solar thermal power plant's output in the power system.

[0068] Please see Figure 4 , Figure 4 This disclosure provides a device for determining the output of a solar thermal power plant, such as... Figure 4As shown, the output determination device 400 of the solar thermal power plant includes:

[0069] The first prediction module 401 is used to predict the maximum thermal power storage capacity of the solar thermal power plant.

[0070] The first generation module 402 is used to determine the first solar thermal data based on the maximum thermal energy storage capacity. The first solar thermal data represents the solar thermal power generation and thermal energy storage capacity of the solar thermal power plant in N time periods, where N is an integer greater than 1.

[0071] The second generation module 403 is used to determine the second solar thermal data based on the first solar thermal data. The second solar thermal data represents the solar thermal power generation and thermal storage power of the solar thermal power plant for N time periods after adjustment.

[0072] The third generation module 404 is used to generate the output result of the solar thermal power plant based on the first solar thermal data and the second solar thermal data. The output result is obtained by integrating the first solar thermal data and the second solar thermal data and is used to determine the power generation capacity of the solar thermal power plant.

[0073] Optionally, the first prediction module 401 predicts the maximum thermal energy storage capacity of the solar thermal power plant using the following formula:

[0074] Q max =t×l

[0075] Among them, Q max t represents the maximum thermal energy storage capacity, l represents the thermal energy storage duration of the solar thermal power plant unit, and l represents the capacity of the solar thermal power plant unit.

[0076] Optional, such as Figure 5 As shown, the first generation module 402 includes:

[0077] The first generation unit 4021 is used to divide the time period from the start to the end of operation of the solar thermal power plant into N time periods, initialize the first parameter group, and obtain the initialization result. The first parameter group includes at least one of the following: power generation, thermal energy storage, and cumulative thermal energy storage.

[0078] The first determining unit 4022 is used to determine the power generation status and thermal storage status of the solar thermal power plant in the current time period;

[0079] The second determining unit 4023 is used to determine a first calculation result based on the power generation state and the thermal storage state. The first calculation result includes at least one of the following: cumulative charging amount, power generation amount in each time period, and charging amount in each time period.

[0080] The third determining unit 4024 is used to determine the first photothermal data based on the first calculation result and the maximum thermal energy storage capacity.

[0081] Optionally, the third determining unit 4024 includes: based on the first calculation result, determining the cumulative thermal energy storage capacity and the maximum thermal energy storage capacity during the period from the start to the end of operation of the solar thermal power plant; if the cumulative thermal energy storage capacity is greater than the maximum thermal energy storage capacity, then selecting a period when the solar thermal power generation capacity is greater than zero and less than the unit capacity, increasing the power generation capacity until the cumulative thermal energy storage capacity equals the maximum thermal energy storage capacity, updating the solar thermal power generation capacity and thermal energy storage capacity for all periods, and obtaining the first solar thermal data; if the cumulative thermal energy storage capacity is less than or equal to the maximum thermal energy storage capacity, then updating the solar thermal power generation capacity and thermal energy storage capacity for all periods, and obtaining the first solar thermal data.

[0082] Optional, such as Figure 6 As shown, the second generation module 403 includes:

[0083] The first prediction unit 4031 is used to predict the actual heat storage discharge of the solar thermal power plant.

[0084] The fourth determining unit 4032 is used to determine the second calculation result based on the actual thermal storage discharge amount and the first parameter set. The second calculation result represents the power generation of the solar thermal power plant at various time periods.

[0085] The first adjustment unit 4033 is used to adjust the second calculation result by adjusting the difference to obtain the second photothermal data.

[0086] Optionally, the first prediction unit 4031 includes: constructing a reference rectangle, wherein the reference rectangle has the maximum load of the solar thermal power plant as the upper baseline, the upper baseline minus the unit capacity of the solar thermal power plant as the lower baseline, the start operating time of the solar thermal power plant as the left boundary, and the end operating time of the solar thermal power plant as the right boundary; calculating the intersection area of ​​the reference rectangle and the load curve of the solar thermal power plant, and the power generation during the intersection process of the load curve of the reference rectangle and the solar thermal power plant; determining the actual thermal storage discharge based on the intersection area and the power generation, wherein the thermal storage discharge is the difference between the intersection area and the power generation.

[0087] Optionally, the first adjustment unit 4033 includes: based on the second calculation result, determining the magnitude of the power generation and minimum output during the operation of the solar thermal power plant; if at a certain moment during the operation of the solar thermal power plant, the power generation is less than the minimum output, then calculating the adjustment difference and fine-tuning the second calculation result, and using the adjusted second calculation result as the second solar thermal data; if during the operation of the solar thermal power plant, the power generation is always greater than or equal to the minimum output, then using the second calculation result as the second solar thermal data.

[0088] According to embodiments of this disclosure, this disclosure also provides an electronic device and a readable storage medium.

[0089] Figure 7 A schematic block diagram of an example electronic device 700 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0090] like Figure 7 As shown, device 700 includes a computing unit 701, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 702 or a computer program loaded from storage unit 708 into random access memory (RAM) 703. RAM 703 may also store various programs and data required for the operation of device 700. The computing unit 701, ROM 702, and RAM 703 are interconnected via bus 704. Input / output (I / O) interface 705 is also connected to bus 704.

[0091] Multiple components in device 700 are connected to I / O interface 705, including: input unit 706, such as keyboard, mouse, etc.; output unit 707, such as various types of monitors, speakers, etc.; storage unit 708, such as disk, optical disk, etc.; and communication unit 709, such as network card, modem, wireless transceiver, etc. Communication unit 709 allows device 700 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0092] The computing unit 701 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 701 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 701 performs the various methods and processes described above, such as the output determination method of a concentrated solar power plant.

[0093] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0094] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0095] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, 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 devices, magnetic storage devices, or any suitable combination of the foregoing.

[0096] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0097] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with embodiments of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0098] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0099] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0100] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for determining the output of a solar thermal power plant, characterized in that, include: Predict the maximum thermal power storage capacity of a solar thermal power plant; The first solar thermal data is determined based on the maximum thermal energy storage capacity. The first solar thermal data represents the solar thermal power generation and thermal energy storage capacity of the solar thermal power plant in N time periods, where N is an integer greater than 1. The second solar thermal data is determined based on the first solar thermal data, and the second solar thermal data represents the solar thermal power generation and thermal energy storage of the solar thermal power plant for N time periods after adjustment. The output result of the solar thermal power plant is generated based on the first solar thermal data and the second solar thermal data. The output result is obtained by integrating the first solar thermal data and the second solar thermal data and is used to determine the power generation capacity of the solar thermal power plant. The determination of the first solar thermal data based on the maximum thermal energy storage capacity includes: The time period from the start to the end of operation of the solar thermal power plant is divided into N time periods, and the first parameter group is initialized to obtain the initialization result. The first parameter group includes at least one of the following: power generation, thermal storage power, and cumulative thermal storage power. Determine the power generation and thermal storage status of the solar thermal power plant during the current time period; A first calculation result is determined based on the power generation state and the thermal storage state. The first calculation result includes at least one of the following: cumulative charging amount, power generation amount in each time period, and charging amount in each time period. The first photothermal data is determined based on the first calculation result and the maximum thermal energy storage capacity; The step of determining the second photothermal data based on the first photothermal data includes: Predict the actual heat storage discharge of the solar thermal power plant; A second calculation result is determined based on the actual thermal storage discharge amount and the first parameter set, and the second calculation result represents the power generation of the solar thermal power plant at various time periods; The second calculation result is adjusted by adjusting the difference to obtain the second photothermal data.

2. The method for determining the output of a solar thermal power plant according to claim 1, characterized in that, The predicted maximum thermal energy storage capacity of the solar thermal power plant includes: The maximum thermal energy storage capacity is determined by the following formula: ; in, To maximize the amount of thermal energy stored, For the thermal power plant unit's heat storage duration, This refers to the capacity of the solar thermal power plant unit.

3. The method for determining the output of a solar thermal power plant according to claim 1, characterized in that, The step of determining the first solar thermal data based on the first calculation result and the maximum thermal energy storage includes: Based on the first calculation result, the cumulative thermal energy storage capacity and the maximum thermal energy storage capacity during the period from the start to the end of the operation of the solar thermal power plant are determined. If the cumulative thermal energy storage capacity is greater than the maximum thermal energy storage capacity, the period when the solar thermal power generation power is greater than zero and less than the unit capacity is selected, and the power generation power is increased until the cumulative thermal energy storage capacity equals the maximum thermal energy storage capacity. The solar thermal power generation power and thermal energy storage capacity of all periods are updated to obtain the first solar thermal data. If the cumulative thermal energy storage capacity is less than or equal to the maximum thermal energy storage capacity, then update the solar thermal power generation capacity and thermal energy storage capacity for all time periods to obtain the first solar thermal data.

4. The method for determining the output of a solar thermal power plant according to claim 1, characterized in that, The prediction of the actual thermal energy storage discharge of the solar thermal power plant includes: Construct a reference rectangle, wherein the reference rectangle has the maximum load of the solar thermal power plant as the upper baseline, the upper baseline minus the unit capacity of the solar thermal power plant as the lower baseline, the start time of the solar thermal power plant as the left boundary, and the end time of the solar thermal power plant as the right boundary. Calculate the intersection area of ​​the reference rectangle and the load curve of the solar thermal power plant, and the power generation during the intersection process of the reference rectangle and the load curve of the solar thermal power plant; The actual thermal storage discharge amount is determined based on the intersecting area and the power generation, wherein the thermal storage discharge amount is the difference between the intersecting area and the power generation.

5. The method for determining the output of a solar thermal power plant according to claim 1, characterized in that, The step of adjusting the difference in the second calculation result to obtain the second photothermal data includes: Based on the second calculation result, the magnitude of the power generation and minimum output during the operation of the solar thermal power plant is determined. If the power generation is less than the minimum output at a certain moment during the operation of the solar thermal power plant, the adjustment difference is calculated and the second calculation result is finely adjusted. The adjusted second calculation result is used as the second solar thermal data. If the power generation is always greater than or equal to the minimum output during the operation of the solar thermal power plant, then the second calculation result shall be used as the second solar thermal data.

6. A device for determining the output of a solar thermal power plant, characterized in that, include: The first prediction module is used to predict the maximum thermal energy storage capacity of the solar thermal power plant. The first generation module is used to determine the first solar thermal data based on the maximum thermal energy storage capacity. The first solar thermal data represents the solar thermal power generation and thermal energy storage capacity of the solar thermal power plant in N time periods, where N is an integer greater than 1. The second generation module is used to determine the second solar thermal data based on the first solar thermal data. The second solar thermal data represents the solar thermal power generation and thermal storage power of the solar thermal power plant for N time periods after adjustment. The third generation module is used to generate the output result of the solar thermal power plant based on the first solar thermal data and the second solar thermal data. The output result is obtained by integrating the first solar thermal data and the second solar thermal data and is used to determine the power generation capacity of the solar thermal power plant. The first generation module includes: The first generation unit is used to divide the time period from the start to the end of operation of the solar thermal power plant into N time periods, initialize the first parameter group, and obtain the initialization result. The first parameter group includes at least one of the following: power generation, thermal storage power, and cumulative thermal storage power. The first determining unit is used to determine the power generation status and thermal storage status of the solar thermal power plant in the current time period; The second determining unit is used to determine a first calculation result based on the power generation state and the thermal storage state. The first calculation result includes at least one of the following: cumulative charging amount, power generation amount in each time period, and charging amount in each time period. The third determining unit is used to determine the first photothermal data based on the first calculation result and the maximum thermal energy storage capacity. The second generation module includes: The first prediction unit is used to predict the actual heat storage discharge of the solar thermal power plant. The fourth determining unit is used to determine the second calculation result based on the actual thermal storage discharge amount and the first parameter set, wherein the second calculation result represents the power generation of the solar thermal power plant at each time period; The first adjustment unit is used to adjust the second calculation result by adjusting the difference to obtain the second photothermal data.

7. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1 to 5.

Citation Information

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