Control method for electrothermal coupling hybrid energy storage heat supply system

Abstract

The invention discloses an electrothermal coupling hybrid energy storage heat supply system control method, and relates to the technical field of hybrid energy storage, and the system comprises an electric power data analysis module, an energy storage prediction analysis module, an energy storage distribution analysis module, a heat supply data analysis module and an energy supply data analysis module. Whether hybrid energy storage is carried out or not is determined through the electric power data analysis module, if hybrid energy storage is carried out, the heat energy usage amount is predicted through the energy storage prediction analysis module, then a basic heat storage scheme is formed, then the electric heating power ratio is determined through an energy storage judgment model constructed through the energy storage distribution analysis module, and electric energy input and heat energy input are optimized. Secondly, heat input power of each heat storage device is distributed; and if hybrid energy storage is not carried out, heat supply output is precisely carried out through energy supply data, the efficient cooperation and precise regulation and control performance of electric heating energy is improved, and the energy utilization efficiency and economical efficiency of the heat supply system are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of hybrid energy storage, and in particular to a control method for an electric-thermal coupled hybrid energy storage heating system. Background Art

[0002] In the energy field, efficient operation of heating systems and rational utilization of energy have always been the focus of attention. Therefore, a control method for an electric-thermal coupled hybrid energy storage heating system is needed.

[0003] Existing technologies often use direct supply from thermal power plants to provide heat, outputting heat energy according to a predetermined mode, and only equipping simple water tanks for short-term heat storage.

[0004] The above solution presents the following technical issues: 1. When extreme cold weather occurs and residential heating demand increases significantly, the solution is unable to detect changes in power usage in a timely manner and continues to operate according to its established model. This can cause the system to operate at high power even during periods of tight power supply, exacerbating grid loads. Furthermore, during nighttime periods of low power consumption, a large amount of low-cost electricity is wasted due to the lack of effective energy storage.

[0005] 2. The above solution fails to consider the differences in heating efficiency across different transmission media, nor does it accurately analyze and optimize heat loss. Heat distribution in the thermal storage equipment relies solely on manual adjustments based on experience, resulting in overheating in some areas and significant energy waste, while underheating in others and a poor user experience.

[0006] 3. The above scheme does not conduct effective monitoring and data analysis on the operating status of various types of heat storage equipment, and cannot reasonably allocate heating tasks according to equipment performance and usage. When the heating equipment ages and its efficiency decreases, the heating scheme cannot be adjusted in time, resulting in low energy utilization efficiency of the entire heating system and increased heating costs. Summary of the Invention

[0007] In view of the above-mentioned technical deficiencies, the object of the present invention is to provide a control method for an electric-thermal coupled hybrid energy storage heating system.

[0008] In order to solve the above technical problems, the present invention adopts the following technical solution: The present invention provides an electric-thermal coupled hybrid energy storage heating system, comprising the following modules: an electric power data analysis module, for collecting electric power usage data, analyzing the electric power usage data, and determining whether to perform hybrid energy storage based on the analysis results.

[0009] The energy storage prediction and analysis module is used to collect current thermal energy prediction and usage status data when performing hybrid energy storage, analyze the current thermal energy prediction and usage status data, and set a basic thermal storage plan.

[0010] The energy storage allocation analysis module is used to collect heat loss data, analyze the heat loss data, and set the energy storage allocation plan based on the analysis results and the basic heat storage plan.

[0011] The heating data analysis module is used to collect thermal energy storage allocation data and heating usage data according to the energy storage allocation plan, analyze various types of thermal energy storage allocation data and heating usage data, and set the heat storage allocation plan.

[0012] The energy supply data analysis module is used to collect the system heat storage status data when hybrid energy storage is not performed, analyze the system heat storage status data, and obtain the system heating plan.

[0013] Preferably, the energy storage allocation scheme is set up, and the specific setting process is as follows: obtaining the electric-thermal power ratio corresponding to each output result of the energy storage judgment model from the database, obtaining the electric-thermal power ratio of each transmission medium in the main energy storage time period according to the output result of the energy storage judgment model of each transmission medium, obtaining the total environmental electric energy usage in the future preset time period and the total thermal energy usage of each transmission medium according to the environmental electric energy usage in each time period in the future preset time period, dividing the total environmental electric energy usage in the future preset time period by the total thermal energy usage of each transmission medium, and obtaining the predicted electric-thermal power ratio of each transmission medium in the future preset time period.

[0014] The normal efficiency heating efficiency usage index range is obtained from the database. If the heating efficiency usage index of a certain transmission medium in a certain time period within a preset time period in the future is greater than the upper limit of the normal efficiency heating efficiency usage index range, it indicates that the transmission medium is high-efficiency energy storage in the time period. If the heating efficiency usage index of a certain transmission medium in a certain time period is less than the lower limit of the normal efficiency heating efficiency usage index range, it indicates that the transmission medium is low-efficiency energy storage in the time period.

[0015] The energy storage allocation plan is as follows: if the electric-to-heat power ratio of a certain transmission medium in the main energy storage time period is greater than the predicted electric-to-heat power ratio within the preset time period, the input power of the stored electric energy of the preset charging power will be increased during the high-efficiency energy storage time period before the time period reaches the main energy storage time period; if the electric-to-heat power ratio of a certain transmission medium in the main energy storage time period is less than the predicted electric-to-heat power ratio within the preset time period, the input power of the stored thermal energy of the preset charging power will be increased during the high-efficiency energy storage time period before the time period reaches the main energy storage time period.

[0016] On the other hand, the present invention provides a control method for electric-thermal coupled hybrid energy storage heating, comprising the following steps: Step 1, power data analysis: collecting power usage data, analyzing the power usage data, and determining whether to perform hybrid energy storage based on the analysis results.

[0017] Step 2: Energy storage prediction analysis: When performing hybrid energy storage, collect and analyze the current thermal energy prediction usage status data, and set up a basic thermal storage plan.

[0018] Step 3: Energy storage allocation analysis: Collect heat loss data, analyze the heat loss data, and set the energy storage allocation plan based on the analysis results and the basic heat storage plan.

[0019] Step 4: Heat supply data analysis: According to the energy storage allocation plan, collect heat storage allocation data and heat supply usage data, analyze various types of heat storage allocation data and heat supply usage data, and set the heat storage allocation plan.

[0020] Step 5: Energy supply data analysis: When hybrid energy storage is not performed, the system heat storage status data is collected and analyzed to obtain the system heating plan.

[0021] The beneficial effects of the present invention are as follows: 1. The present invention first determines whether to perform hybrid energy storage through the power data analysis module. If hybrid energy storage is performed, the energy storage prediction analysis module predicts the heat energy usage, thereby forming a basic heat storage plan. Then, the energy storage judgment model constructed by the energy storage allocation analysis module determines the electric-to-heat power ratio, optimizes the electric energy input and heat energy input, and then distributes the heat input power of each heat storage device. If hybrid energy storage is not performed, the system uses energy supply data to accurately output heat. This system improves the performance of efficient coordination and precise regulation of electric and thermal energy, significantly improving the energy utilization efficiency and economic efficiency of the heating system.

[0022] 2. The present invention accurately sets the energy storage allocation plan based on the heating efficiency and heat loss characteristics of different transmission media. At the same time, based on the performance of the thermal energy storage equipment and the usage of the medium, it scientifically plans the heat storage allocation, significantly reduces heat transmission and storage losses, and improves the utilization rate of thermal energy.

[0023] 3. Ability to formulate system heating plans based on system heat storage status data. By analyzing the demand corresponding to each transmission medium, the thermal energy storage capacity and electrical energy storage capacity of various heat storage devices, calculating the heat utilization index and heat distribution ratio, and determining the heat supply demand of various heat storage devices for each transmission medium, the system can flexibly respond to different heat storage conditions and heating demands, ensuring the stability and reliability of heat supply.

[0024] 4. The present invention improves the efficient coordination of electric thermal energy through intelligent regulation, greatly improves the overall operating efficiency of the system, reduces energy consumption and operating costs, increases energy conservation and emission reduction benefits in the heating field, and provides innovative solutions for sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 any creative work.

[0026] Figure 1 This is a schematic diagram of the system structure connection of the present invention.

[0027] Figure 2 The figure is a flow chart of the steps for implementing the method of the present invention. DETAILED DESCRIPTION

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0029] according to Figure 1 As shown, the present invention provides an electric-thermal coupled hybrid energy storage heating system, comprising the following modules: an electric power data analysis module, an energy storage prediction analysis module, an energy storage allocation analysis module, a heating data analysis module, an energy supply data analysis module and a database.

[0030] The energy storage prediction and analysis module is respectively connected to the power data analysis module and the energy storage allocation analysis module; the heating data analysis module is respectively connected to the energy storage allocation analysis module and the energy supply data analysis module; the energy storage prediction and analysis module, the energy storage allocation analysis module, the heating data analysis module, and the energy supply data analysis module are all connected to the database.

[0031] The power data analysis module is used to collect power usage data, analyze the power usage data, and determine whether to perform hybrid energy storage based on the analysis results.

[0032] In a specific embodiment, the power usage data is collected, and the specific collection process is as follows: the power usage data includes the current environmental power usage and the current heating power usage. The current environmental power usage is collected through the electric meter of the preset area environmental total circuit, and the current heating power usage is collected through the electric meter of the heating device corresponding to the preset area.

[0033] In a specific embodiment, the power usage data is analyzed, and the specific analysis process is as follows: the normal environment power usage interval and the normal heating power usage interval are obtained from the database. If the current environment power usage is greater than the upper limit of the normal environment power usage interval or the current heating power usage is greater than the upper limit of the normal heating power usage interval, it indicates that the current power usage status is peak. If the current environment power usage is less than the lower limit of the normal environment power usage interval and the current heating power usage is less than the lower limit of the normal heating power usage interval, it indicates that the current power usage status is valley.

[0034] When the current power usage status is peak, hybrid energy storage is not performed. When the current power usage status is valley, hybrid energy storage is performed.

[0035] The energy storage prediction and analysis module is used to collect current thermal energy prediction and usage status data when performing hybrid energy storage, analyze the current thermal energy prediction and usage status data, and set a basic thermal storage plan.

[0036] In a specific embodiment, the current thermal energy predicted usage status data is collected, and the specific collection process is as follows: the current thermal energy predicted usage status data includes the ambient electric energy usage in each time period within a preset time period in the future and the thermal energy usage of each transmission medium, the ambient electric energy usage in each time period and the thermal energy usage of each transmission medium are obtained from the database, and the ambient electric energy usage in each time period within the preset time period in the future and the thermal energy usage of each transmission medium are predicted by the moving average method to obtain the ambient electric energy usage in each time period within the preset time period in the future and the thermal energy usage of each transmission medium.

[0037] In a specific embodiment, the current thermal energy predicted usage status data is analyzed, and the specific analysis process is as follows: the ambient electricity usage in each time period within the future preset time period and the thermal energy usage of each transmission medium are substituted into the heating efficiency usage index calculation formula to obtain the heating efficiency usage index of each transmission medium in each time period within the future preset time period.

[0038] It should be noted that the calculation formula for the heating efficiency utilization index is: ,in, is the heating efficiency usage index of transmission medium b in time period a within the future preset time period, a is the number of each time period within the future preset time period, the value of a is a positive integer, b is the number of each transmission medium, the value of b is a positive integer, e is a natural constant, and is the ambient power usage in time period a within the future preset time period. The thermal energy usage of transmission medium b in time period a within the future preset time period, and They are the preset standard electricity usage and standard heat energy usage, and are the preset electric energy usage weight factor and thermal energy usage weight factor, , , .

[0039] Standard parameters and They are the thresholds for electricity usage and heat usage during normal use. When electricity usage exceeds the threshold, it indicates that the current electricity consumption is high and the electricity consumption from the grid should be reduced while the energy storage device should be increased. When heat usage exceeds the threshold, it indicates that the current heat required is high and the electricity consumption from the grid should be reduced while the energy storage device should be increased to maintain grid stability. The specific values are set by the staff, for example is 0.9 and The weight factor is 0.7. and The specific value is set by the staff, for example is 0.4 and is 0.6.

[0040] In a specific embodiment, the basic heat storage scheme is set up, and the specific setting process is as follows: the normal efficiency heating efficiency usage index range is obtained from the database. If the heating efficiency usage index of a certain transmission medium in a certain time period within a preset time period in the future is greater than the upper limit of the normal efficiency heating efficiency usage index range, it indicates that the transmission medium is high-efficiency energy storage in the time period. If the heating efficiency usage index of a certain transmission medium in a certain time period is less than the lower limit of the normal efficiency heating efficiency usage index range, it indicates that the transmission medium is low-efficiency energy storage in the time period.

[0041] The heating efficiency usage index of each transmission medium in each time period within a preset future time period is sorted in descending order to obtain the heating efficiency sequence of each transmission medium in each time period, and the time period at the first place in the heating efficiency sequence of each transmission medium is recorded as the main energy storage time period of each transmission medium.

[0042] The energy storage allocation analysis module is used to collect heat loss data, analyze the heat loss data, and set the energy storage allocation plan based on the analysis results and the basic heat storage plan.

[0043] In a specific embodiment, the heat loss data is collected, and the specific collection process is as follows: the heat loss data includes the transmission loss rate, phase change conversion loss rate and energy storage loss rate of each transmission medium.

[0044] The loss rate is the difference between the last collected heat and the current collected heat, divided by the last collected heat, to get the loss rate. The heat of each transmission medium before and after transmission is obtained through the temperature monitoring method, and then the transmission loss rate of each transmission medium is obtained. According to the energy balance method, the heat of each transmission medium before and after the phase change conversion process is collected through the phase change energy storage device to obtain the phase change conversion loss rate of each transmission medium. The heat of each transmission medium is collected at regular intervals in the energy storage device to obtain the energy storage loss rate of each transmission medium.

[0045] In a specific embodiment, the heat loss data is analyzed, and the specific analysis process is as follows: the transmission loss rate, phase change conversion loss rate and energy storage loss rate of each transmission medium are input into the energy storage judgment model to obtain the output result of the energy storage judgment model of each transmission medium. The value of the output result of the energy storage judgment model is r, , the value of u is the maximum output result of the energy storage judgment model.

[0046] It should be noted that the energy storage judgment model is: ,in, is the output result of the energy storage judgment model of transmission medium b, 、 and are the transmission loss rate, phase change conversion loss rate and energy storage loss rate of transmission medium b respectively, They are the preset standard transmission loss rate, standard phase change conversion loss rate and standard energy storage loss rate, respectively. are the preset transmission loss rate weight factor, phase change conversion loss rate weight factor and energy storage loss rate weight factor, respectively. , , , , 、 、 and The preset r-1th standard loss index, rth standard loss index, 1st standard loss index and u-1th standard loss index respectively.

[0047] Standard parameters and The setup process and standard parameters The setting process is the same, and the specific values are set by the staff, such as 0.56, 0.53, 0.57 and The weight factor is 0.89. 、 and The setting process and weight factor The setting process is the same, and the specific values are set by the staff, such as 0.3, is 0.3 and is 0.4.

[0048] In a specific embodiment, the energy storage allocation scheme is set up, and the specific setting process is as follows: the electric-thermal power ratio corresponding to each output result of the energy storage judgment model is obtained from the database, and the electric-thermal power ratio of each transmission medium in the main energy storage time period is obtained according to the output result of the energy storage judgment model of each transmission medium. According to the ambient electric energy usage in each time period in the future preset time period and the thermal energy usage of each transmission medium, the total ambient electric energy usage in the future preset time period and the total thermal energy usage of each transmission medium are obtained. The total ambient electric energy usage in the future preset time period is divided by the total thermal energy usage of each transmission medium to obtain the predicted electric-thermal power ratio of each transmission medium in the future preset time period.

[0049] The normal efficiency heating efficiency usage index range is obtained from the database. If the heating efficiency usage index of a certain transmission medium in a certain time period within a preset time period in the future is greater than the upper limit of the normal efficiency heating efficiency usage index range, it indicates that the transmission medium is high-efficiency energy storage in the time period. If the heating efficiency usage index of a certain transmission medium in a certain time period is less than the lower limit of the normal efficiency heating efficiency usage index range, it indicates that the transmission medium is low-efficiency energy storage in the time period.

[0050] The energy storage allocation plan is as follows: if the electric-to-heat power ratio of a certain transmission medium in the main energy storage time period is greater than the predicted electric-to-heat power ratio within the preset time period, the input power of the stored electric energy of the preset charging power will be increased during the high-efficiency energy storage time period before the time period reaches the main energy storage time period; if the electric-to-heat power ratio of a certain transmission medium in the main energy storage time period is less than the predicted electric-to-heat power ratio within the preset time period, the input power of the stored thermal energy of the preset charging power will be increased during the high-efficiency energy storage time period before the time period reaches the main energy storage time period.

[0051] The heating data analysis module is used to collect thermal energy storage allocation data and heating usage data according to the energy storage allocation plan, analyze various types of thermal energy storage allocation data and heating usage data, and set the heat storage allocation plan.

[0052] In a specific embodiment, the thermal energy storage distribution data and the heating usage data are collected, and the specific collection process is as follows: the heating usage data includes the medium usage frequency, medium usage rate and medium usage efficiency of each temperature of each transmission medium. The duration and usage amount of each use of each temperature of each transmission medium are collected by sensors. The sum of the duration of each use of each temperature of each transmission medium is divided by the preset duration to obtain the medium usage frequency of each temperature of each transmission medium. The usage amount of each use of each temperature of each transmission medium is divided by the duration to obtain the medium usage rate of each temperature of each transmission medium. The medium usage rate of each temperature of each transmission medium is obtained by mean calculation. The temperature of each temperature of each transmission medium before and after use is collected by a temperature sensor to obtain the average temperature before use and the average temperature after use of each transmission medium. The difference between the average temperature before use and the average temperature after use of each temperature of each transmission medium is divided by the average temperature before use to obtain the medium usage efficiency of each temperature of each transmission medium.

[0053] It should be noted that the temperature of each transmission medium is not equal to the temperature before use.

[0054] Various types of thermal energy storage distribution data include the usage time, number of uses, charging efficiency and heat release efficiency of various types of thermal energy storage equipment. The usage time and number of uses of various types of thermal energy storage equipment are collected through counters and timers. The energy stored in the equipment is collected through the sensors of the thermal storage equipment. The charging efficiency is calculated by the energy input during the charging process and the effective energy actually stored in the equipment. The heat release efficiency is obtained by dividing the released effective energy by the total energy originally stored in the equipment.

[0055] In a specific embodiment, the various types of thermal energy storage allocation data and heating usage data are analyzed, and the specific analysis process is as follows: the medium usage frequency, medium usage rate and medium usage efficiency of each transmission medium at each temperature are substituted into the medium usage index calculation formula to obtain the medium usage index of each transmission medium at each temperature, and the temperature of the maximum medium usage index of each transmission medium is recorded as the standard temperature to obtain the standard temperature of each transmission medium, and then the medium usage index corresponding to the standard temperature of each transmission medium is obtained.

[0056] It should be noted that the calculation formula for the medium usage index is: ,in, is the medium usage index of b transmission medium at c temperature, c is the number of each temperature, and the value of c is a positive integer. 、 and are b the medium usage frequency, c the temperature of the transmission medium, and c the medium usage rate and medium usage efficiency, 、 and are the preset medium usage frequency, medium usage rate and medium usage efficiency, and are the preset medium usage frequency and medium usage rate, , , , and are the preset medium usage priority index weight factor and medium usage efficiency weight factor, respectively. , , .

[0057] Standard parameters 、 and The setting process is the same as that of standard parameters, and the specific values are set by the staff, such as 0.58, 0.61 and The weight factor is 0.74. 、 、 and The setting process and weight factor The setting process is the same, and the specific values are set by the staff, such as 0.4, 0.6, is 0.7 and is 0.3.

[0058] The heating time of the standard temperature of each transmission medium of each type of thermal energy storage is obtained from the database, and the average temperature of the medium of each type of thermal energy storage is obtained by average calculation, and then the medium usage index of each type of thermal energy storage is obtained. The heat storage equipment usage correction index corresponding to each medium usage index is obtained from the database to obtain the heat storage equipment usage correction index of each type of thermal energy storage.

[0059] The usage time, usage times, charging efficiency, heat release efficiency and heat storage equipment usage correction index of each type of thermal energy storage equipment are substituted into the energy storage usage index calculation formula to obtain the energy storage usage index of each type of thermal energy storage equipment.

[0060] It should be noted that the calculation formula for the energy storage utilization index is: ,in, is the energy storage utilization index of type d heat storage equipment, d is the number of each type of heat storage equipment, and the value of d is a positive integer. 、 、 、 and are respectively the usage time, usage times, heat charging efficiency, heat releasing efficiency and usage correction index of the D-type heat storage device, , , and are respectively the preset usage time, usage times, heat charging efficiency and heat releasing efficiency, and The preset usage time and number of times are respectively , , , and are the preset heat charging efficiency and heat releasing efficiency respectively, , , , and They are respectively the preset heat storage equipment use priority evaluation index and the heat storage equipment use efficiency evaluation index. , , .

[0061] Standard parameters 、 、 and The setup process and standard parameters The setting process is the same, and the specific values are set by the staff, such as 0.78, 0.92, is 0.56 and The weight factor is 0.61. 、 、 、 、 and The setting process and weight factor The setting process is the same, and the specific values are set by the staff, such as 0.5, 0.5, 0.6, 0.4, is 0.3 and is 0.7.

[0062] The heat storage allocation plan is as follows: the usage allocation unit quantity of each type of energy storage usage index is obtained from the database to obtain the usage allocation unit quantity of each type of heat storage equipment, the usage allocation unit quantity of each type of heat storage equipment is divided by the sum of the usage allocation unit quantities to obtain the usage allocation proportion of each type of heat storage equipment, and when heat energy is input into the thermal energy storage device, the input power of the stored heat energy is multiplied by the usage allocation proportion of each type of heat storage equipment to obtain the input power of each type of heat storage equipment, and each type of heat storage equipment inputs heat according to the corresponding input power.

[0063] The energy supply data analysis module is used to collect the system heat storage status data when hybrid energy storage is not performed, analyze the system heat storage status data, and obtain the system heating plan.

[0064] In a specific embodiment, the system heat storage status data is collected, and the specific collection process is as follows: the system heat storage status data includes the demand corresponding to each transmission medium, the thermal energy storage capacity and the electric energy storage capacity of each type of heat storage equipment.

[0065] In a specific embodiment, the system heat storage status data is analyzed, and the specific analysis process is as follows: the demand corresponding to each transmission medium, the thermal energy storage amount of each type of heat storage equipment, and the electric energy storage amount are substituted into the heat usage index calculation formula to obtain the heat usage index of each type of heat storage equipment for each transmission medium; the heat allocation unit amount of each heat usage index is obtained from the database, and then the heat allocation unit amount of each type of heat storage equipment for each transmission medium is obtained; the heat allocation unit amount of each type of heat storage equipment for each transmission medium is divided by the total heat allocation unit amount of each transmission medium to obtain the heat allocation ratio of each type of heat storage equipment for each transmission medium; the demand corresponding to each transmission medium is multiplied by the heat allocation ratio of the corresponding type of heat storage equipment to obtain the heat demand of each type of heat storage equipment for each transmission medium.

[0066] It should be noted that the calculation formula for the heating usage index is: ,in, is the heat demand of type d heat storage equipment with b transmission medium, d is the number of each type of heat storage equipment, and the value of d is a positive integer. is the demand corresponding to the transmission medium b, and are the thermal energy storage capacity and electrical energy storage capacity of type d heat storage equipment corresponding to the b transmission medium, 、 and They are respectively the preset demand, thermal energy storage and electrical energy storage. and are the preset weight factors of thermal energy storage and electric energy storage, , , , and are the preset weight factors of heating demand and thermal energy storage index, , , .

[0067] Standard parameters 、 and The setting process is the same as that of standard parameters, and the specific values are set by the staff, such as 1.3, is 0.6 and The weight factor is 0.8. 、 、 and The setting process of is the same as that of the weight factor, and the specific values are set by the staff, for example 0.7, 0.3, is 0.4 and is 0.6.

[0068] The system heating plan is: various heat storage devices output the heat transfer medium of each transmission medium according to the heating demand of each transmission medium.

[0069] The database is used to store normal environmental power usage intervals, normal heating power usage intervals, environmental power usage in various time periods, thermal energy usage of various transmission media, normal efficiency heating efficiency usage index intervals, electric power ratios corresponding to various output results of the energy storage judgment model, normal efficiency heating efficiency usage index intervals, heating time of various transmission medium standard temperatures for various types of thermal energy storage, heat storage equipment usage correction indexes corresponding to various medium usage indexes, usage allocation unit quantities of various energy storage usage indices, and heating allocation unit quantities of various heating usage indices.

[0070] according to Figure 2 As shown, the present invention provides a control method for electric-thermal coupled hybrid energy storage heating, comprising the following steps: Step 1, power data analysis: collecting power usage data, analyzing the power usage data, and determining whether to perform hybrid energy storage based on the analysis results.

[0071] Step 2: Energy storage prediction analysis: When performing hybrid energy storage, collect and analyze the current thermal energy prediction usage status data, and set up a basic thermal storage plan.

[0072] Step 3: Energy storage allocation analysis: Collect heat loss data, analyze the heat loss data, and set the energy storage allocation plan based on the analysis results and the basic heat storage plan.

[0073] Step 4: Heat supply data analysis: According to the energy storage allocation plan, collect heat storage allocation data and heat supply usage data, analyze various types of heat storage allocation data and heat supply usage data, and set the heat storage allocation plan.

[0074] Step 5: Energy supply data analysis: When hybrid energy storage is not performed, the system heat storage status data is collected and analyzed to obtain the system heating plan.

[0075] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present invention.

Claims

1. An electric-thermal coupled hybrid energy storage heating system, characterized in that: Includes the following modules: The power data analysis module is used to collect and analyze power usage data and determine whether to use hybrid energy storage based on the analysis results; The energy storage prediction and analysis module is used to collect and analyze the current thermal energy usage status data when hybrid energy storage is carried out, and to set a basic thermal storage plan; The energy storage allocation analysis module is used to collect heat loss data, analyze the heat loss data, and set the energy storage allocation plan based on the analysis results and the basic heat storage plan; The heating data analysis module is used to collect thermal energy storage allocation data and heating usage data according to the energy storage allocation plan, analyze various types of thermal energy storage allocation data and heating usage data, and set the heat storage allocation plan; The energy supply data analysis module is used to collect the system heat storage status data when hybrid energy storage is not performed, analyze the system heat storage status data, and obtain the system heating plan.

2. The electric-thermal coupled hybrid energy storage heating system according to claim 1, characterized in that: The power usage data is analyzed, and the specific analysis process is as follows: The power usage data includes the current environmental power usage and the current heating power usage. The normal environmental power usage interval and the normal heating power usage interval are obtained from the database. If the current environmental power usage is greater than the upper limit of the normal environmental power usage interval or the current heating power usage is greater than the upper limit of the normal heating power usage interval, it indicates that the current power usage state is peak. If the current environmental power usage is less than the lower limit of the normal environmental power usage interval and the current heating power usage is less than the lower limit of the normal heating power usage interval, it indicates that the current power usage state is valley. When the current power usage status is peak, hybrid energy storage is not performed. When the current power usage status is valley, hybrid energy storage is performed.

3. The electric-thermal coupled hybrid energy storage heating system according to claim 1, characterized in that: The specific analysis process of analyzing the current thermal energy forecast usage status data is as follows: The current heat energy forecast usage status data includes the ambient electric energy usage and the heat energy usage of each transmission medium in each time period within a preset future time period. The ambient electric energy usage and the heat energy usage of each transmission medium in each time period are obtained from the database. The ambient electric energy usage and the heat energy usage of each transmission medium in each time period within the preset future time period are forecasted using a moving average method to obtain the ambient electric energy usage and the heat energy usage of each transmission medium in each time period within the preset future time period. The ambient electricity usage in each time period within the future preset time period and the thermal energy usage of each transmission medium are substituted into the heating efficiency usage index calculation formula to obtain the heating efficiency usage index of each transmission medium in each time period within the future preset time period.

4. The electric-thermal coupled hybrid energy storage heating system according to claim 1, characterized in that: The specific setting process of setting the basic heat storage solution is as follows: Obtaining a normal-efficiency heating efficiency usage index interval from a database; if the heating efficiency usage index of a certain transmission medium in a certain time period within a preset future time period is greater than the upper limit of the normal-efficiency heating efficiency usage index interval, it indicates that the transmission medium is a high-efficiency energy storage in that time period; if the heating efficiency usage index of a certain transmission medium in a certain time period is less than the lower limit of the normal-efficiency heating efficiency usage index interval, it indicates that the transmission medium is a low-efficiency energy storage in that time period; The heating efficiency usage index of each transmission medium in each time period within a preset future time period is sorted in descending order to obtain the heating efficiency sequence of each transmission medium in each time period, and the time period at the first place in the heating efficiency sequence of each transmission medium is recorded as the main energy storage time period of each transmission medium.

5. The electric-thermal coupled hybrid energy storage heating system according to claim 4, characterized in that: The heat loss data is analyzed, and the specific analysis process is as follows: The heat loss data includes the transmission loss rate, phase change conversion loss rate and energy storage loss rate of each transmission medium. The transmission loss rate, phase change conversion loss rate and energy storage loss rate of each transmission medium are input into the energy storage judgment model to obtain the output result of the energy storage judgment model of each transmission medium. The value of the output result of the energy storage judgment model is r. , the value of u is the maximum output result of the energy storage judgment model.

6. The electric-thermal coupled hybrid energy storage heating system according to claim 5, characterized in that: The specific setting process of setting the energy storage allocation plan is as follows: Obtaining the electric-to-thermal power ratio corresponding to each output result of the energy storage judgment model from the database, obtaining the electric-to-thermal power ratio of each transmission medium in the main energy storage time period based on the output result of the energy storage judgment model for each transmission medium, obtaining the total environmental electric energy usage and the total thermal energy usage of each transmission medium in the future preset time period based on the environmental electric energy usage in each time period and the thermal energy usage of each transmission medium, and dividing the total environmental electric energy usage in the future preset time period by the total thermal energy usage of each transmission medium to obtain the predicted electric-to-thermal power ratio of each transmission medium in the future preset time period; Obtaining a normal-efficiency heating efficiency usage index interval from a database; if the heating efficiency usage index of a certain transmission medium in a certain time period within a preset future time period is greater than the upper limit of the normal-efficiency heating efficiency usage index interval, it indicates that the transmission medium is a high-efficiency energy storage in that time period; if the heating efficiency usage index of a certain transmission medium in a certain time period is less than the lower limit of the normal-efficiency heating efficiency usage index interval, it indicates that the transmission medium is a low-efficiency energy storage in that time period; The energy storage allocation plan is as follows: if the electric-to-heat power ratio of a certain transmission medium in the main energy storage time period is greater than the predicted electric-to-heat power ratio within the preset time period, the input power of the stored electric energy of the preset charging power will be increased during the high-efficiency energy storage time period before the time period reaches the main energy storage time period; if the electric-to-heat power ratio of a certain transmission medium in the main energy storage time period is less than the predicted electric-to-heat power ratio within the preset time period, the input power of the stored thermal energy of the preset charging power will be increased during the high-efficiency energy storage time period before the time period reaches the main energy storage time period.

7. The electric-thermal coupled hybrid energy storage heating system according to claim 1, characterized in that: The analysis of various types of thermal energy storage allocation data and heating usage data is carried out as follows: The heating usage data includes the medium usage frequency, medium usage rate, and medium usage efficiency of each transmission medium at each temperature. The medium usage frequency, medium usage rate, and medium usage efficiency of each transmission medium at each temperature are substituted into the medium usage index calculation formula to obtain the medium usage index of each transmission medium at each temperature. The temperature at which the medium usage index of each transmission medium reaches its maximum is recorded as the standard temperature, thereby obtaining the standard temperature of each transmission medium, and further obtaining the medium usage index corresponding to the standard temperature of each transmission medium. Obtain the heating time of each transmission medium standard temperature of each type of thermal energy storage from the database, calculate the average value to obtain the medium average temperature of each type of thermal energy storage, and then obtain the medium usage index of each type of thermal energy storage. Obtain the thermal storage equipment usage correction index corresponding to each medium usage index from the database to obtain the thermal storage equipment usage correction index of each type of thermal energy storage; The various types of thermal energy storage allocation data include the usage time, number of uses, heat charging efficiency, and heat release efficiency of various types of thermal energy storage equipment. The usage time, number of uses, heat charging efficiency, heat release efficiency, and heat storage equipment usage correction index of various types of thermal energy storage equipment are substituted into the energy storage usage index calculation formula to obtain the energy storage usage index of various types of thermal energy storage equipment; The heat storage allocation plan is as follows: the usage allocation unit quantity of each type of energy storage usage index is obtained from the database to obtain the usage allocation unit quantity of each type of heat storage equipment, the usage allocation unit quantity of each type of heat storage equipment is divided by the sum of the usage allocation unit quantities to obtain the usage allocation proportion of each type of heat storage equipment, and when heat energy is input into the thermal energy storage device, the input power of the stored heat energy is multiplied by the usage allocation proportion of each type of heat storage equipment to obtain the input power of each type of heat storage equipment, and each type of heat storage equipment inputs heat according to the corresponding input power.

8. The electric-thermal coupled hybrid energy storage heating system according to claim 1, characterized in that: The system heat storage state data is analyzed, and the specific analysis process is as follows: The system heat storage status data includes the demand corresponding to each transmission medium, the thermal energy storage capacity and the electric energy storage capacity of each type of heat storage equipment. The demand corresponding to each transmission medium, the thermal energy storage capacity and the electric energy storage capacity of each type of heat storage equipment are substituted into the heat utilization index calculation formula to obtain the heat utilization index of each type of heat storage equipment for each transmission medium. The heat allocation unit quantity of each heat utilization index is obtained from the database, and then the heat allocation unit quantity of each type of heat storage equipment for each transmission medium is obtained. The heat allocation unit quantity of each type of heat storage equipment for each transmission medium is divided by the total heat allocation unit quantity of each transmission medium to obtain the heat allocation proportion of each type of heat storage equipment for each transmission medium. The demand corresponding to each transmission medium is multiplied by the heat allocation proportion of the corresponding type of heat storage equipment to obtain the heat demand of each type of heat storage equipment for each transmission medium. The system heating plan is: various heat storage devices output the heat transfer medium of each transmission medium according to the heating demand of each transmission medium.

9. The electric-thermal coupled hybrid energy storage heating system according to claim 1, characterized in that: The database is used to store normal environmental power usage intervals, normal heating power usage intervals, environmental power usage in various time periods, thermal energy usage of various transmission media, normal efficiency heating efficiency usage index intervals, electric-to-thermal power ratios corresponding to various output results of the energy storage judgment model, normal efficiency heating efficiency usage index intervals, heating durations at standard temperatures of various transmission media for various types of thermal energy storage, heat storage equipment usage correction indexes corresponding to various medium usage indexes, usage allocation unit quantities of various energy storage usage indices, and heating allocation unit quantities of various heating usage indices.

10. A control method for the electric-thermal coupled hybrid energy storage heating system according to any one of claims 1 to 9, characterized in that: The steps include: Step 1: Power data analysis: Collect and analyze power usage data, and determine whether to use hybrid energy storage based on the analysis results. Step 2: Energy storage prediction analysis: When performing hybrid energy storage, collect and analyze the current thermal energy usage status data and set a basic thermal storage plan; Step 3: Energy storage allocation analysis: Collect heat loss data, analyze the heat loss data, and set the energy storage allocation plan based on the analysis results and the basic heat storage plan; Step 4: Heat supply data analysis: According to the energy storage allocation plan, collect heat storage allocation data and heat supply usage data, analyze various types of heat storage allocation data and heat supply usage data, and set the heat storage allocation plan; Step 5: Energy supply data analysis: When hybrid energy storage is not performed, the system heat storage status data is collected and analyzed to obtain the system heating plan.

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