Heat supply regulation and control method of energy complementary heat supply system

Abstract

The invention relates to the technical field of heat supply regulation and control, and provides a heat supply regulation and control method of an energy complementary heat supply system, which comprises the following steps: collecting current data, historical data and weather information; target weather information, solar energy supply stability and solar energy supply reliability are determined, and then a solar energy supply energy correction value at the current moment corresponding to the target weather information is determined; determining weather information prediction accuracy; determining the weather information difference influence degree; and according to the weather information prediction accuracy, the weather information difference influence degree, the weather information, the historical data at the same acquisition moment and the current data at the current moment in the historical data, a heat supply regulation and control result of the energy complementary heat supply system is obtained. The invention aims to solve the problem that the heat supply of the energy complementary heat supply system is unstable due to inaccurate determination of the heat supply energy of the energy complementary heat supply system caused by the change of environmental factors.

Description

Technical Field

[0001] The present invention relates to the technical field of heat supply regulation and control, and in particular to a heat supply regulation and control method for an energy complementary heat supply system. Background Art

[0002] The energy complementary heating system is a system that combines multiple energy forms such as solar energy, wind energy, waste heat utilization, biomass energy, etc., and realizes efficient, economical and environmentally friendly operation of the heating system through the optimized configuration and coordinated operation of multiple energy sources. It can improve energy utilization efficiency and reduce energy consumption and environmental pollution.

[0003] In the energy complementary heating system, the heating output of energy sources such as solar energy that rely on the environment is prone to instability, and other energy sources need to be dynamically mobilized for heating supplement to ensure the stable operation of the heating system. Generally, the difference between the energy demand of the heating area of ​​the energy complementary heating system and the heating output energy of energy sources such as solar energy that rely on the environment is directly used as the energy for heating supplement by other energy sources. However, when the environment changes, both the energy demand of the heating area and the heating output energy of energy sources that rely on the environment will change, which often leads to the calculated energy for heating supplement by other energy sources being inaccurate, resulting in unstable heating of the energy complementary heating system. Summary of the invention

[0004] The present invention provides a heating control method for an energy complementary heating system to solve the problem that the heating energy of the energy complementary heating system is inaccurately determined due to changes in environmental factors, resulting in unstable heating of the energy complementary heating system. The technical solution adopted is as follows: An embodiment of the present invention provides a heating control method for an energy complementary heating system, the method comprising the following steps: Collect historical data and weather information at different collection times on each natural day within a preset time period before the current time, and at the same time, collect current data and weather information at the current time, where both the current data and historical data include thermal power supply energy value, solar power supply energy value, room temperature and external environment temperature, and the weather information includes sunny days and non-sunny days; Record any weather information as target weather information, determine the stability of solar energy supply at the current moment corresponding to the target weather information according to the difference between solar energy supply energy values ​​at adjacent collection moments in the historical data of the target weather information, determine the reliability of solar energy supply at the current moment corresponding to the target weather information according to the difference between solar energy supply energy values ​​collected at the same moment in all natural days in the historical data of the target weather information, and determine the correction value of solar energy supply at the current moment corresponding to the target weather information according to the change trend of solar energy supply energy values ​​in the historical data of the target weather information, as well as the reliability and stability of solar energy supply at the current moment corresponding to the target weather information; Determine the accuracy of weather information prediction based on the difference between the solar energy supply correction value corresponding to sunny days and non-sunny days and the solar energy supply value at the current moment; Determine the impact of weather information differences based on the difference between solar energy supply energy values ​​corresponding to different weather information at the same temperature; According to the weather information prediction accuracy, the weather information difference influence, weather information, historical data at the same collection time in the historical data, and current data at the current time, the heating control result of the energy complementary heating system is obtained. Further, according to the difference between the solar energy supply energy values ​​at adjacent collection times in the historical data of the target weather information, the solar energy supply stability at the current time corresponding to the target weather information is determined, including the specific method of: The absolute value of the difference between the solar energy supply value at any collection time and the previous collection time in the historical data of the target weather information is recorded as the energy supply difference at any collection time; Based on the energy supply differences at all acquisition moments in the historical data, the stability of solar energy supply at the current moment is determined.

[0005] Furthermore, the specific method of determining the solar energy supply stability at the current moment according to the energy supply differences at all acquisition moments in the historical data is as follows: The cumulative sum of the energy supply differences at all collection moments in the historical data is recorded as the total historical energy supply difference; The solar energy supply stability at the current moment is determined according to the total historical energy supply difference, and the solar energy supply stability at the current moment is negatively correlated with the total historical energy supply difference.

[0006] Further, the reliability of solar energy supply at the current moment corresponding to the target weather information is determined based on the difference between the solar energy supply energy values ​​collected at the same moment in all natural days in the historical data of the target weather information, including the specific method of: The average absolute error of the solar energy supply values ​​collected at the same time in the historical data of the target weather information on all natural days is recorded as the energy supply difference of the historical data of the target weather information at the same collection time, and the cumulative sum of the energy supply differences of the historical data of the target weather information at all collection times in a natural day is recorded as the first cumulative sum of the current time corresponding to the target weather information; The ratio of the number 1 to the first accumulated sum at the current moment is recorded as the solar energy supply reliability at the current moment corresponding to the target weather information.

[0007] Further, the solar energy supply energy correction value at the current moment corresponding to the target weather information is determined according to the change trend of the solar energy supply energy value in the historical data of the target weather information, and the solar energy supply reliability and solar energy supply stability at the current moment corresponding to the target weather information, including the specific method of: Arrange all solar energy supply values ​​in the historical data of the target weather information in the order of collection time to obtain a solar energy supply value sequence, perform data prediction on the solar energy supply value sequence, and obtain a predicted value of the solar energy supply value at the current moment corresponding to the target weather information; According to the solar energy supply reliability, solar energy supply stability, predicted value of solar energy supply energy value at the current moment corresponding to the target weather information, and solar energy supply energy value in historical data, the solar energy supply energy correction value at the current moment corresponding to the target weather information is determined.

[0008] Further, the solar energy supply energy correction value at the current moment corresponding to the target weather information is determined according to the solar energy supply reliability, solar energy supply stability, predicted value of solar energy supply energy value at the current moment corresponding to the target weather information, and solar energy supply energy value in historical data, including the specific method of: The product of the solar energy supply reliability at the current moment corresponding to the target weather information and the predicted value of the solar energy supply energy value is recorded as the first product at the current moment; The product of the solar energy supply stability at the current moment corresponding to the target weather information and the solar energy supply energy value at the previous adjacent collection moment at the current moment is recorded as the second product at the current moment; According to the first product and the second product at the current moment, a solar energy supply energy correction value at the current moment corresponding to the target weather information is determined.

[0009] Further, the specific method of determining the solar energy supply energy correction value at the current moment corresponding to the target weather information according to the first product and the second product at the current moment is as follows: The average of the first product and the second product at the current moment is recorded as the solar energy supply energy correction value at the current moment corresponding to the target weather information.

[0010] Furthermore, the weather information prediction accuracy is determined by: When the solar energy correction value is When the solar energy supply correction value is within this range, the weather information forecast corresponding to the solar energy supply correction value is determined to be accurate; when the solar energy supply correction value is not within this range, the weather information forecast corresponding to the solar energy supply correction value is determined to be accurate. When the solar energy correction value is within this range, the weather information forecast corresponding to the solar energy correction value is determined to be inaccurate; is the first preset threshold, The solar energy value at the current moment; The ratio of the number of solar energy supply energy correction values ​​accurately predicted by weather information to the total number of solar energy supply energy correction values ​​is recorded as the weather information prediction accuracy rate.

[0011] Furthermore, the specific method for determining the weather information difference impact degree is as follows: All the collected external ambient temperatures are respectively taken as the target external ambient temperatures, and the absolute value of the difference between the mean of all solar energy supply values ​​with sunny weather information and the mean of all solar energy supply values ​​with cloudy weather information under the target external ambient temperature is recorded as the absolute difference of solar energy supply at the target external ambient temperature, and the ratio of the absolute difference of solar energy supply at the target external ambient temperature to the mean of all solar energy supply values ​​with sunny weather information under the target external ambient temperature is recorded as the influence degree of weather information difference.

[0012] Furthermore, the specific method of obtaining the heating control result of the energy complementary heating system according to the weather information prediction accuracy, the weather information difference influence, the weather information, the historical data at the same collection time in the historical data, and the current data at the current time is as follows: The room temperature, external environment temperature and weather information at the same time of collection in the historical data are grouped into pairs, all pairs are clustered to obtain clusters, and the mean of the sum of the thermal power supply energy value and the solar energy supply energy value corresponding to all pairs in the cluster where the current pair is located is recorded as the indoor energy demand at the current moment; When the weather information is sunny or cloudy, the product of the mean of the solar energy correction value at the current moment and the weather information prediction accuracy and the weather information difference influence is recorded as the third product at the current moment. The difference between the indoor energy demand at the current moment and the third product is recorded as the indoor energy demand adjustment value at the current moment. The indoor energy supply demand adjustment value at the current moment is the heating regulation result of the energy complementary heating system.

[0013] The beneficial effects of the present invention are: In order to ensure that solar energy is used for energy supply when solar energy supply can meet the heating demand, and to use thermal power to supplement the energy for heating demand in time when solar energy supply cannot fully meet the heating demand, so as to maintain the stable energy supply of the complementary heating system, the present application analyzes the stability of solar energy supply according to the changes in the solar energy supply energy value under different weather information, obtains the solar energy supply stability corresponding to each weather information, determines the solar energy supply reliability corresponding to each weather information according to the difference in the solar energy supply energy value collected at the same time on different natural days under different weather information, and further determines the solar energy supply energy correction value corresponding to each weather information, the solar energy supply energy correction value is the predicted value of the solar energy supply energy value at the current sampling time based on the solar energy supply energy value of the same weather information; and First, the degree of influence of weather information among the environmental factors that have the greatest impact on the solar energy supply effect on the solar energy function is determined according to the solar energy supply energy value, and the accuracy of weather information prediction is obtained; then, considering that the solar energy supply energy value corresponding to the same temperature will also be different when the weather information is different, the influence of different weather information at the same temperature on the generated solar energy supply energy value is determined from the perspective of the same temperature; finally, according to the accuracy of weather information prediction, the influence of weather information differences, weather information, historical data at the same collection time in historical data, and current data at the current time, the accurate heating control result of the energy complementary heating system is obtained, so as to solve the problem that the heating energy of the energy complementary heating system is inaccurately determined due to changes in environmental factors, resulting in unstable heating of the energy complementary heating system. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0015] Figure 1 A schematic flow chart of a heating control method for an energy complementary heating system provided by an embodiment of the present invention; Figure 2 A flow chart for obtaining a solar energy correction value provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] See also Figure 1 , which shows a flow chart of a heating control method of an energy complementary heating system provided by an embodiment of the present invention, the method comprising the following steps: Step S001, collect historical data and weather information at different collection times within a preset time period before the current time, and at the same time, collect current data and weather information at the current time, the current data and historical data both include thermal power supply energy value, solar power supply energy value, room temperature and external environment temperature, and the weather information includes sunny days and non-sunny days.

[0018] This embodiment performs heat supply regulation on a complementary heat supply system of thermal power and solar energy.

[0019] Extract the thermal power supply energy value and solar energy supply energy value at each collection time of each natural day within one month before the current time from the complementary heating system. At the same time, extract the room temperature of the heating area heated by the complementary heating system at each collection time, as well as the external environment temperature of the heating area heated by the complementary heating system. Extract the solar energy supply energy value, room temperature and external environment temperature at the current moment from the complementary heating system.

[0020] Among them, the thermal power supply energy value and the solar energy supply energy value are both the product of the interval time, the mass of circulating water and the specific heat capacity of circulating water. The calculation of the thermal power supply energy value and the solar energy supply energy value is a well-known technology and will not be repeated here.

[0021] Preferably, in an embodiment of the present application, the collection time interval between two adjacent collection moments is 1 hour; each collection moment corresponding to the historical data corresponds to a thermal power supply energy value, a solar energy supply energy value, a room temperature, an external ambient temperature and a weather information; this embodiment selects one month before the current moment as the time period for historical data collection. In actual application, as other implementation methods, the implementer can decide the length of the time period for historical data collection according to actual conditions, and this application does not impose any special restrictions.

[0022] Records weather information within one month before the current time, including sunny and cloudy days.

[0023] Step S002, record any weather information as target weather information, determine the solar energy supply stability at the current moment corresponding to the target weather information according to the difference between the solar energy supply energy values ​​at adjacent collection moments in the historical data of the target weather information, determine the solar energy supply reliability at the current moment corresponding to the target weather information according to the difference between the solar energy supply energy values ​​collected at the same moment on all natural days in the historical data of the target weather information, determine the solar energy supply energy correction value at the current moment corresponding to the target weather information according to the changing trend of the solar energy supply energy values ​​in the historical data of the target weather information, as well as the solar energy supply reliability and solar energy supply stability at the current moment corresponding to the target weather information.

[0024] The complementary heating system of thermal power and solar energy uses thermal power and solar energy to provide heating energy. When the solar energy supply is sufficient, solar energy is used for heating, and when the solar energy supply is insufficient, thermal power is used for heating. The energy value of solar energy supply will be affected by light. Therefore, it is necessary to analyze the stability of solar energy supply according to the changes in the energy value of solar energy supply, to ensure that solar energy is used for energy supply when solar energy supply can meet the heating demand, and to use thermal power to supplement the energy demand for heating when solar energy supply cannot fully meet the heating demand, so as to maintain the stable energy supply of the complementary heating system and avoid energy waste.

[0025] It should be noted that when the weather is sunny, the solar energy supply effect is better, and when the weather is not sunny, the solar energy supply effect is not good. Therefore, it is necessary to predict the solar energy supply energy value at the current moment corresponding to sunny and non-sunny days based on the weather information of historical data.

[0026] Any piece of weather information is recorded as target weather information, wherein the weather information includes sunny days and non-sunny days. This embodiment is described by taking any piece of weather information as an example.

[0027] The solar energy supply stability at the current moment corresponding to the target weather information is determined according to the difference between the solar energy supply energy values ​​at adjacent collection moments in the historical data of the target weather information.

[0028] For any collection moment in the historical data of the target weather information, the absolute value of the difference between the solar energy supply value at any collection moment and the previous collection moment of the any collection moment is recorded as the energy supply difference at the any collection moment, and the cumulative sum of the energy supply differences of all collection moments in the historical data is recorded as the total historical energy supply difference.

[0029] It is understandable that the earliest collection time in the historical data of the target weather information cannot obtain the corresponding energy supply difference. Therefore, in the calculation process of the total historical energy supply difference, the earliest collection time in the historical data of the target weather information is no longer calculated and analyzed.

[0030] It should be noted that since the collection time corresponding to the target weather information may not be adjacent collection time, in the process of calculating the total difference in historical energy supply, the collection time before any collection time refers to the collection time that is closest to the two collection times corresponding to the target weather information. For example: if the c-3rd collection time, the cth collection time, and the c+5th collection time in the historical data are all the collection times for which the filtered weather information is sunny, then the collection time before the cth collection time is the c-3rd collection time, and the collection time before the c+5th collection time is the cth collection time.

[0031] The solar energy supply stability at the current moment is determined according to the total historical energy supply difference, and the solar energy supply stability at the current moment is negatively correlated with the total historical energy supply difference.

[0032] Preferably, as an embodiment of the present application, the value of an exponential function with the opposite of the total historical energy supply difference as the independent variable is recorded as the solar energy supply stability at the current moment, wherein the base of the exponential function is a natural constant.

[0033] Specifically, the calculation formula for the stability of solar energy supply at the current moment is: In the formula, Indicates the stability of solar energy supply at the current moment; represents an exponential function with a natural constant as base; Indicates the number of collection moments included in the historical data of the target weather information; Indicates the historical data of the target weather information. The solar energy supply value at each collection moment; Indicates the historical data of the target weather information. The solar energy supply value at each collection moment.

[0034] In the formula, Indicates the historical data of the target weather information. The energy supply difference at each collection moment, Represents the total historical energy supply difference.

[0035] The smaller the difference between the solar energy supply values ​​at adjacent collection times in the historical data of the target weather information, the greater the stability of the solar energy supply at the current moment, and the more stable the solar energy supply. The same method can be used to obtain the solar energy supply stability at the current moment corresponding to any weather information, that is, sunny days and sunny days each correspond to a solar energy supply stability at the current moment.

[0036] The smaller the difference between the solar energy supply energy values ​​collected at the same time in consecutive natural days, the more stable the change of the solar energy supply energy value generated by solar energy supply within a natural day, and the higher the accuracy and reliability of predicting the solar energy supply energy value at the current moment based on the solar energy supply energy values ​​at all collection moments in the historical data.

[0037] It can be understood that, in order to facilitate the understanding of the same time in a natural day, an example is given to illustrate: 18:00 on October 7 and 18:00 on October 8 are the same time in two different natural days, and the solar energy supply energy values ​​collected at 18:00 on October 7 and 18:00 on October 8 are the solar energy supply energy values ​​collected at the same time in a natural day; 6:00 on October 7 and 6:00 on October 8 are also the same time in two different natural days. The solar energy supply energy values ​​collected at 6:00 on October 7 and 6:00 on October 8 are also the solar energy supply energy values ​​collected at the same time in a natural day.

[0038] The reliability of solar energy supply at the current moment corresponding to the target weather information is determined according to the difference between the solar energy supply energy values ​​collected at the same moment in all natural days in the historical data of the target weather information.

[0039] Preferably, as an embodiment of the present application, the average absolute error of the solar energy supply energy values ​​collected at the same time in the historical data of the target weather information is recorded as the energy supply difference of the historical data of the target weather information at the same collection time, the cumulative sum of the energy supply differences of the historical data of the target weather information at all collection times in a natural day is recorded as the first cumulative sum at the current moment corresponding to the target weather information, and the ratio of the number 1 to the first cumulative sum at the current moment is recorded as the solar energy supply reliability at the current moment corresponding to the target weather information.

[0040] Specifically, the calculation formula for the reliability of solar energy supply at the current moment is: In the formula, Indicates the reliability of solar energy supply at the current moment; Indicates the historical data The first day of the natural The solar energy supply value at each collection moment; Represents the first day of all natural days in historical data The average value of solar energy supply at each collection moment; Indicates the number of collection times contained in a natural day. The value of is 24; Indicates the number of natural days included in the historical data. The value of is 30.

[0041] In the formula, Indicates the historical data on the natural day. The energy supply difference at the same time of collection.

[0042] The smaller the difference between the solar energy supply energy values ​​collected at the same time in all natural days in the historical data, the greater the reliability of the solar energy supply at the current moment. At this time, the more stable the change of the solar energy supply energy value generated by the solar energy supply within a natural day, the higher the accuracy and reliability of the prediction of the solar energy supply energy value at the current moment based on the solar energy supply energy values ​​at all collection moments in the historical data.

[0043] The same method can be used to obtain the solar energy supply reliability at the current moment corresponding to any weather information, that is, a sunny day and a sunny day both correspond to a solar energy supply reliability at the current moment.

[0044] Arrange all solar energy supply energy values ​​in the historical data of the target weather information in the order of collection time to obtain a solar energy supply energy value sequence, perform data prediction on the solar energy supply energy value sequence, and obtain the predicted value of the solar energy supply energy value at the current moment corresponding to the target weather information.

[0045] The same method can be used to obtain the predicted value of the solar energy supply value at the current moment corresponding to any weather information, that is, a predicted value of the solar energy supply value at the current moment corresponds to both a sunny day and a sunny day.

[0046] According to the solar energy supply reliability, solar energy supply stability, predicted value of solar energy supply energy value at the current moment corresponding to the target weather information, and solar energy supply energy value in historical data, the solar energy supply energy correction value at the current moment corresponding to the target weather information is determined.

[0047] Preferably, as an embodiment of the present application, the product of the solar energy supply reliability at the current moment corresponding to the target weather information and the predicted value of the solar energy supply energy value is recorded as the first product at the current moment; the product of the solar energy supply stability at the current moment corresponding to the target weather information and the solar energy supply energy value at the previous adjacent collection moment at the current moment is recorded as the second product at the current moment; the average of the first product at the current moment and the second product is recorded as the solar energy supply energy correction value at the current moment corresponding to the target weather information.

[0048] Specifically, the calculation formula for the solar energy correction value at the current moment is: In the formula, Indicates the solar energy correction value at the current moment; Indicates the reliability of solar energy supply at the current moment; Represents the predicted value of solar energy supply at the current moment; Indicates the stability of solar energy supply at the current moment; Indicates the solar energy supply value at the previous adjacent collection moment of the current moment.

[0049] The same method can be used to obtain the solar energy supply energy correction value at the current moment corresponding to any weather information, that is, a sunny day and a sunny day each correspond to a solar energy supply energy correction value at the current moment.

[0050] At this point, the solar energy supply energy correction value corresponding to the current moment of sunny and non-sunny days is obtained. The solar energy supply energy correction value acquisition flow chart is as follows Figure 2 shown.

[0051] Step S003: Determine the accuracy of weather information prediction based on the difference between the solar energy supply correction values ​​corresponding to sunny days and non-sunny days and the solar energy supply energy value at the current moment.

[0052] Since the solar energy supply effects vary greatly when the weather is sunny and sunny, the accuracy of the predicted solar energy supply value at the current moment will also be different. Therefore, the accuracy of weather information prediction is determined based on the difference between the solar energy supply correction value corresponding to sunny and sunny days and the solar energy supply value at the current moment.

[0053] When the solar energy correction value is When the solar energy supply correction value is within this range, the weather information forecast corresponding to the solar energy supply correction value is determined to be accurate; when the solar energy supply correction value is not within this range, the weather information forecast corresponding to the solar energy supply correction value is determined to be accurate. When it is within this range, it is determined that the weather information forecast corresponding to the solar energy supply energy correction value is inaccurate.

[0054] in, is the first preset threshold value. In this embodiment, the value of the first preset threshold value is 5%; It is the solar energy supply value at the current moment. It can be understood that the value of the first preset threshold can adjust the range of determining whether the weather information forecast corresponding to the solar energy supply energy correction value is accurate. When the value of the first preset threshold is larger, the range is larger, and when the value of the first preset threshold is smaller, the range is smaller. In the actual application process, as other implementation methods, the implementer can decide the value of the first preset threshold according to the actual situation, and this application does not impose any special restrictions.

[0055] The ratio of the number of solar energy supply energy correction values ​​accurately predicted by weather information to the total number of solar energy supply energy correction values ​​is recorded as the weather information prediction accuracy rate.

[0056] At this point, the accuracy of weather information forecast is obtained.

[0057] Step S004: determining the impact of the weather information difference according to the difference between the solar energy supply energy values ​​corresponding to different weather information at the same temperature.

[0058] When the weather is sunny or cloudy, the effect of solar energy supply is quite different. This phenomenon is also reflected in the fact that when the weather information is different, the solar energy supply value corresponding to the same temperature is also different. Therefore, the impact of weather information difference is determined based on the difference between the solar energy supply values ​​corresponding to different weather information at the same temperature.

[0059] Preferably, as an embodiment of the present application, all collected external ambient temperatures are respectively used as target external ambient temperatures, and the absolute value of the difference between the mean of all solar energy supply energy values ​​when the weather information is sunny and the mean of all solar energy supply energy values ​​when the weather information is non-sunny at the target external ambient temperature is recorded as the absolute difference in solar energy supply at the target external ambient temperature, and the ratio of the absolute difference in solar energy supply at the target external ambient temperature to the mean of all solar energy supply energy values ​​when the weather information is sunny at the target external ambient temperature is recorded as the weather information difference impact degree.

[0060] Specifically, the calculation formula for the impact of weather information difference is: In the formula, Indicates the impact of weather information differences; Represents a linear normalization function, which is used to take the linear normalized value of the value in brackets; Indicates the temperature When the weather information is sunny, the average value of all solar energy supply values; Indicates the temperature And the weather information is the average value of all solar energy supply values ​​when it is not sunny; Indicates the minimum value of all collected external environment temperatures; Indicates the maximum value of all collected external environment temperatures.

[0061] It should be noted that when calculating the impact of weather information differences, only the cases where the weather information is sunny and non-sunny at the same temperature and has corresponding solar energy supply values ​​are calculated. When only one type of weather information has a corresponding solar energy supply value, it is not included in the calculation of the impact of weather information differences.

[0062] When the difference between the solar energy supply values ​​corresponding to different weather information at the same temperature is greater, the influence of different weather information on the generated solar energy supply value is greater. At this time, the influence of weather information difference is greater.

[0063] At this point, the impact of weather information differences is obtained.

[0064] Step S005, obtaining the heating control result of the energy complementary heating system according to the weather information prediction accuracy, the weather information difference impact, the weather information, the historical data at the same collection time in the historical data and the current data at the current time.

[0065] The room temperature, external environment temperature and weather information at the same collection time in the historical data and the current moment are combined into pairs. Each collection time in the historical data and the current moment corresponds to a pair. Among them, the weather information includes sunny days and cloudy days. In the pairs, sunny days correspond to the number 1, and cloudy days correspond to the number 0. Use the DBSCAN clustering algorithm to cluster all pairs and obtain clusters. The mean of the sum of the thermal power supply energy value and the solar energy supply energy value corresponding to all pairs in the cluster where the current pair is located is recorded as the indoor energy demand at the current moment.

[0066] Among them, this embodiment takes the sum of the thermal power supply energy value and the solar energy supply energy value at the same collection time as the indoor energy supply demand at the collection time. All number pairs contained in the cluster where the number pairs at the current time are located are number pairs similar to the room temperature, external ambient temperature and weather information at the current time. Therefore, the average of the indoor energy supply demands at the collection time corresponding to these number pairs is taken as the indoor energy supply demand at the current time.

[0067] This embodiment uses the DBSCAN clustering algorithm to cluster all number pairs. In actual application, on the basis of achieving the purpose of clustering, the implementer can use other existing methods such as Mean Shift clustering algorithm, OPTICS clustering algorithm, Gaussian Mixture Models clustering algorithm, Spectral Clustering, etc. for clustering, and this application does not make any special restrictions.

[0068] The indoor energy supply demand adjustment value at the current moment is determined based on the weather information prediction accuracy, the impact of weather information differences, the indoor energy supply demand at the current moment and the solar energy supply energy correction value.

[0069] Preferably, as an embodiment of the present application, the product of the average of the solar energy supply correction value at the current moment when the weather information is sunny and not sunny, the weather information prediction accuracy, and the weather information difference influence is recorded as the third product at the current moment, and the difference between the indoor energy supply demand at the current moment and the third product is recorded as the indoor energy supply demand adjustment value at the current moment.

[0070] Specifically, the calculation formula for the indoor energy supply demand adjustment value at the current moment is: In the formula, Indicates the indoor energy supply demand adjustment value at the current moment; Indicates the indoor energy demand at the current moment; Indicates the accuracy of weather information forecast; Indicates the impact of weather information differences; It indicates the average of the solar energy correction value at the current moment when the weather information is sunny and cloudy.

[0071] The indoor energy demand adjustment value at the current moment is the amount of heat that the energy complementary heating system needs to provide at the current moment.

[0072] At this point, the heating control results of the energy complementary heating system are obtained.

[0073] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A heating control method for an energy complementary heating system, characterized in that: The method comprises the following steps: Collect historical data and weather information at different collection times on each natural day within a preset time period before the current time, and at the same time, collect current data and weather information at the current time, where both the current data and historical data include thermal power supply energy value, solar power supply energy value, room temperature and external environment temperature, and the weather information includes sunny days and non-sunny days; Record any weather information as target weather information, determine the stability of solar energy supply at the current moment corresponding to the target weather information according to the difference between solar energy supply energy values ​​at adjacent collection moments in the historical data of the target weather information, determine the reliability of solar energy supply at the current moment corresponding to the target weather information according to the difference between solar energy supply energy values ​​collected at the same moment in all natural days in the historical data of the target weather information, and determine the correction value of solar energy supply at the current moment corresponding to the target weather information according to the change trend of solar energy supply energy values ​​in the historical data of the target weather information, as well as the reliability and stability of solar energy supply at the current moment corresponding to the target weather information; Determine the accuracy of weather information prediction based on the difference between the solar energy supply correction value corresponding to sunny days and non-sunny days and the solar energy supply value at the current moment; Determine the impact of weather information differences based on the difference between solar energy supply energy values ​​corresponding to different weather information at the same temperature; The heating control result of the energy complementary heating system is obtained based on the weather information prediction accuracy, the impact of weather information differences, weather information, historical data at the same collection time in historical data, and current data at the current time.

2. The method for controlling heating supply of an energy complementary heating system according to claim 1, characterized in that: The specific method of determining the solar energy supply stability at the current moment corresponding to the target weather information according to the difference between the solar energy supply energy values ​​at adjacent collection moments in the historical data of the target weather information includes: The absolute value of the difference between the solar energy supply value at any collection time and the previous collection time in the historical data of the target weather information is recorded as the energy supply difference at any collection time; Based on the energy supply differences at all acquisition moments in the historical data, the stability of solar energy supply at the current moment is determined.

3. The method for controlling heating supply of an energy complementary heating system according to claim 2, characterized in that: The specific method of determining the solar energy supply stability at the current moment according to the energy supply differences at all acquisition moments in the historical data is as follows: The cumulative sum of the energy supply differences at all collection moments in the historical data is recorded as the total historical energy supply difference; The solar energy supply stability at the current moment is determined according to the total historical energy supply difference, and the solar energy supply stability at the current moment is negatively correlated with the total historical energy supply difference.

4. The method for controlling heating supply of an energy complementary heating system according to claim 1, characterized in that: The specific method of determining the solar energy supply reliability at the current moment corresponding to the target weather information according to the difference between the solar energy supply energy values ​​collected at the same moment in all natural days in the historical data of the target weather information includes: The average absolute error of the solar energy supply values ​​collected at the same time in the historical data of the target weather information on all natural days is recorded as the energy supply difference of the historical data of the target weather information at the same collection time, and the cumulative sum of the energy supply differences of the historical data of the target weather information at all collection times in a natural day is recorded as the first cumulative sum of the current time corresponding to the target weather information; The ratio of the number 1 to the first accumulated sum at the current moment is recorded as the solar energy supply reliability at the current moment corresponding to the target weather information.

5. The method for controlling heating supply of an energy complementary heating system according to claim 1, characterized in that: The method of determining the solar energy supply energy correction value at the current moment corresponding to the target weather information according to the change trend of the solar energy supply energy value in the historical data of the target weather information and the solar energy supply reliability and solar energy supply stability at the current moment corresponding to the target weather information includes the following specific methods: Arrange all solar energy supply values ​​in the historical data of the target weather information in the order of collection time to obtain a solar energy supply value sequence, perform data prediction on the solar energy supply value sequence, and obtain a predicted value of the solar energy supply value at the current moment corresponding to the target weather information; According to the solar energy supply reliability, solar energy supply stability, predicted value of solar energy supply energy value at the current moment corresponding to the target weather information, and solar energy supply energy value in historical data, the solar energy supply energy correction value at the current moment corresponding to the target weather information is determined.

6. The method for controlling heating supply of an energy complementary heating system according to claim 5, characterized in that: The method of determining the solar energy supply energy correction value at the current moment corresponding to the target weather information according to the solar energy supply reliability, solar energy supply stability, predicted value of the solar energy supply energy value, and the solar energy supply energy value in the historical data at the current moment corresponding to the target weather information includes the following specific methods: The product of the solar energy supply reliability at the current moment corresponding to the target weather information and the predicted value of the solar energy supply energy value is recorded as the first product at the current moment; The product of the solar energy supply stability at the current moment corresponding to the target weather information and the solar energy supply energy value at the previous adjacent collection moment at the current moment is recorded as the second product at the current moment; According to the first product and the second product at the current moment, a solar energy supply energy correction value at the current moment corresponding to the target weather information is determined.

7. The method for controlling heating supply of an energy complementary heating system according to claim 6, characterized in that: The specific method of determining the solar energy supply energy correction value corresponding to the target weather information at the current moment according to the first product and the second product at the current moment is as follows: The average of the first product and the second product at the current moment is recorded as the solar energy supply energy correction value at the current moment corresponding to the target weather information.

8. The method for controlling heating supply of an energy complementary heating system according to claim 1, characterized in that: The specific method for determining the accuracy of weather information prediction is as follows: When the solar energy correction value is When the solar energy supply correction value is within this range, the weather information forecast corresponding to the solar energy supply correction value is determined to be accurate; when the solar energy supply correction value is not within this range, the weather information forecast corresponding to the solar energy supply correction value is determined to be accurate. When the solar energy correction value is within this range, the weather information forecast corresponding to the solar energy correction value is determined to be inaccurate; is the first preset threshold, The solar energy value at the current moment; The ratio of the number of solar energy supply energy correction values ​​accurately predicted by weather information to the total number of solar energy supply energy correction values ​​is recorded as the weather information prediction accuracy rate.

9. The method for controlling heating supply of an energy complementary heating system according to claim 1, characterized in that: The specific method for determining the weather information difference impact degree is as follows: All the collected external ambient temperatures are respectively taken as the target external ambient temperatures, and the absolute value of the difference between the mean of all solar energy supply values ​​with sunny weather information and the mean of all solar energy supply values ​​with cloudy weather information under the target external ambient temperature is recorded as the absolute difference of solar energy supply at the target external ambient temperature, and the ratio of the absolute difference of solar energy supply at the target external ambient temperature to the mean of all solar energy supply values ​​with sunny weather information under the target external ambient temperature is recorded as the influence degree of weather information difference.

10. The method for controlling heating supply of an energy complementary heating system according to claim 1, characterized in that: The specific method of obtaining the heating control result of the energy complementary heating system according to the weather information prediction accuracy, the weather information difference impact, the weather information, the historical data at the same collection time in the historical data and the current data at the current time is as follows: The room temperature, external environment temperature and weather information at the same time of collection in the historical data are grouped into pairs, all pairs are clustered to obtain clusters, and the mean of the sum of the thermal power supply energy value and the solar energy supply energy value corresponding to all pairs in the cluster where the current pair is located is recorded as the indoor energy demand at the current moment; When the weather information is sunny or cloudy, the product of the mean of the solar energy correction value at the current moment and the weather information prediction accuracy and the weather information difference influence is recorded as the third product at the current moment. The difference between the indoor energy demand at the current moment and the third product is recorded as the indoor energy demand adjustment value at the current moment. The indoor energy supply demand adjustment value at the current moment is the heating regulation result of the energy complementary heating system.

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