Dynamic over-supply regulation and control method and device for medium-deep layer ground source heat pump system

Abstract

The invention provides a dynamic over-supply regulation and control method and device for a middle-deep layer ground source heat pump system, and the method comprises the steps: obtaining the time-of-use electricity price of a target region, and determining an over-supply operation mode of the middle-deep layer ground source heat pump system based on the time-of-use electricity price; operation parameters of the medium-deep layer ground source heat pump system under the current reference working condition are obtained, and the heat supply demand level of the heat supply building is monitored in real time; based on a pre-built mid-deep layer buried pipe over-supply performance model of the mid-deep layer ground source heat pump system and the operation parameters under the current reference working condition, the over-supply time period accumulated heat taking amount increasing proportion under different over-supply operation modes is calculated; and determining a target over-supply operation mode of the medium-deep layer ground source heat pump system based on the over-supply time period accumulated heat taking amount increase proportion and the building heat supply demand level under different over-supply operation modes. The energy utilization efficiency is improved, and the operation cost of the system is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of building heating and cooling, and in particular to a dynamic over-supply regulation method and device for a middle-deep ground source heat pump system. BACKGROUND

[0002] Building heating and cooling is a livelihood project that is highly concerned by all sectors of society. According to estimates, carbon emissions generated by building operation energy consumption in 2019 were about 2.1 billion tons, accounting for about 22% of total carbon emissions. In building energy consumption, the proportion of cold and heat source systems is close to 60%. At the same time, with the continuous improvement of urbanization level, 4.083 billion m2 of new buildings were completed in 2021. In order to minimize carbon emissions generated by building heating and cooling, an important way is to make full use of renewable energy to achieve clean and electrification of heating and cooling energy use.

[0003] Middle-deep geothermal energy utilization technology is a new type of geothermal energy heating technology that has emerged in recent years. It differs from water-heat type geothermal utilization technology in that it does not exploit and use underground hot water, and has less disturbance to the underground water environment. Middle-deep buried pipe heat pump heating technology is a technology that uses middle-deep rock-soil (depth 2000m~3000m) as a heat source, extracts heat from the middle-deep geothermal heat exchange system, and supplies heat to buildings through a geothermal heat pump unit. The underground buried pipe heat exchanger system is an important component of the middle-deep buried pipe ground source heat pump system, which is mainly responsible for heat exchange between the heat pump unit and the underground. In the middle-deep buried pipe heat pump system, the circulating pump drives the heat transfer medium (usually water or water solution with antifreeze) to flow in the closed buried pipe. However, in the current application of middle-deep ground source heat pump systems, the existing technology has many deficiencies. SUMMARY

[0004] In view of this, the purpose of the present application is to provide a dynamic over-supply regulation method and device for a middle-deep ground source heat pump system to improve energy utilization efficiency and reduce system operating costs.

[0005] In order to achieve the above-mentioned purpose, the technical solution adopted by the present application is as follows: In a first aspect, the present application provides a dynamic over-supply regulation method for a middle-deep ground source heat pump system, comprising: obtaining a time-of-use electricity price for a target area, and determining an over-supply operation mode for the middle-deep ground source heat pump system based on the time-of-use electricity price; obtaining operating parameters of the middle-deep ground source heat pump system under a current reference working condition, and monitoring a heating demand level of a heating building in real time; based on a pre-constructed over-supply performance model of the middle-deep buried pipe of the middle-deep ground source heat pump system and the operating parameters under the current reference working condition, calculating an over-supply time period cumulative heat extraction amount improvement ratio under different over-supply operation modes; based on the over-supply time period cumulative heat extraction amount improvement ratio under different over-supply operation modes and the heating demand level of the building, determining a target over-supply operation mode for the middle-deep ground source heat pump system.

[0006] Optionally, the over-supply operation mode of the medium-deep geothermal source heat pump system is determined based on the time-of-use electricity price, including: determining the peak time period, the high peak time period and the low electricity price time period based on the time-of-use electricity price; wherein the time period with the time-of-use electricity price greater than or equal to a first threshold value is the peak time period, the time period with the time-of-use electricity price greater than or equal to a second threshold value and less than the first threshold value is the high peak time period, and the time period with the time-of-use electricity price less than the second threshold value is the low electricity price time period, and the first threshold value is greater than the second threshold value; determining the over-supply time period based on the peak time period and the high peak time period; wherein the over-supply time period includes one of the following: a first preset low electricity price time period before the peak time period, a second preset low electricity price time period before the peak time period, a first preset low electricity price time period before the peak time period and a first preset low electricity price time period before the high peak time period, a second preset low electricity price time period before the peak time period and a second preset low electricity price time period before the high peak time period; determining the over-supply operation mode based on the over-supply time period; wherein the over-supply operation mode is that the medium-deep geothermal source heat pump system operates according to the corresponding over-supply working condition in the over-supply time period and operates according to the reference working condition in the remaining time period; and each over-supply operation mode corresponds to an over-supply time period.

[0007] Optionally, the heating demand level of the heating building is monitored in real time, including: collecting the heat load data of the heating building, and determining the heating demand level corresponding to the peak time period and the high peak time period based on the heat load data; wherein if the heat load data of the peak time period or the high peak time period exceeds a first preset value, it is determined that the heating demand level corresponding to the peak time period or the high peak time period is high heating demand.

[0008] Optionally, the target over-supply operation mode of the medium-deep geothermal source heat pump system is determined based on the over-supply time period cumulative heat extraction amount improvement ratio and the building heating demand level under different over-supply operation modes, including: if the heating demand level corresponding to the peak time period and the high peak time period is high heating demand, the first over-supply operation mode corresponding to the over-supply time period being the first preset low electricity price time period before the peak time period and the first preset low electricity price time period before the high peak time period, and the second over-supply operation mode corresponding to the over-supply time period being the second preset low electricity price time period before the peak time period and the second preset low electricity price time period before the high peak time period are determined as candidate over-supply operation modes, and the target over-supply operation mode of the medium-deep geothermal source heat pump system is determined according to the over-supply time period cumulative heat extraction amount improvement ratio corresponding to the first over-supply operation mode and the second over-supply operation mode; if the heating demand level corresponding to the peak time period is high heating demand, the third over-supply operation mode corresponding to the over-supply time period being the first preset low electricity price time period before the peak time period, and the fourth over-supply operation mode corresponding to the over-supply time period being the second preset low electricity price time period before the peak time period are determined as candidate over-supply operation modes, and the target over-supply operation mode of the medium-deep geothermal source heat pump system is determined according to the over-supply time period cumulative heat extraction amount improvement ratio corresponding to the third over-supply operation mode and the fourth over-supply operation mode.

[0009] Optionally, after determining the over-supply operation mode of the intermediate-depth ground source heat pump system based on the time-of-use electricity price, the method further comprises: determining a plurality of different reference working conditions of the intermediate-depth ground source heat pump system and an over-supply working condition corresponding to the over-supply operation mode; and constructing an over-supply performance model of the intermediate-depth ground heat exchanger of the intermediate-depth ground source heat pump system by simulating the over-supply operation mode of the intermediate-depth ground source heat pump system and the plurality of different reference working conditions, wherein the over-supply performance model of the intermediate-depth ground heat exchanger is used to represent the relationship between the over-supply performance of the intermediate-depth ground heat exchanger and the reference working conditions and the over-supply working condition corresponding to the over-supply operation mode.

[0010] Optionally, the over-supply performance model of the intermediate-depth ground heat exchanger is constructed by simulating the over-supply operation mode of the intermediate-depth ground source heat pump system and the plurality of different reference working conditions, comprising: based on the over-supply working condition and the over-supply working condition corresponding to the over-supply operation mode, calculating the operating parameters of the intermediate-depth ground heat exchanger under different over-supply operation modes and the operating parameters of the intermediate-depth ground heat exchanger under different reference working conditions by dynamic simulation, wherein the operating parameters at least include heat extraction amount, inlet temperature and outlet temperature; comparing the operating parameters of the intermediate-depth ground heat exchanger under different over-supply operation modes and the operating parameters of the intermediate-depth ground heat exchanger under different reference working conditions, and calculating the cumulative heat extraction amount improvement ratio of the over-supply period under different over-supply operation modes; and performing data trend analysis and regression fitting on the cumulative heat extraction amount improvement ratio of the over-supply period under different over-supply operation modes under different reference working conditions, to obtain the over-supply performance model of the intermediate-depth ground heat exchanger.

[0011] Optionally, the over-supply performance model of the intermediate-depth ground heat exchanger is:

[0012] wherein, n is the cumulative heat extraction amount improvement ratio of the over-supply period; is the over-supply duration; is the reference working condition of the intermediate-depth ground source heat pump system; is the over-supply working condition of the intermediate-depth ground source heat pump system.

[0013] In a second aspect, the present application provides a dynamic over-supply regulation device for a middle-deep ground source heat pump system, comprising: an operation mode determination module configured to obtain a time-of-use electricity price of a target area, and determine an over-supply operation mode of the middle-deep ground source heat pump system based on the time-of-use electricity price; a heat demand monitoring module configured to obtain an operation parameter of the middle-deep ground source heat pump system under a current reference working condition, and monitor a heat demand level of a heating building in real time; a heat extraction amount increase ratio calculation module configured to calculate an over-supply time period cumulative heat extraction amount increase ratio under different over-supply operation modes based on a pre-constructed over-supply performance model of the middle-deep ground source heat pump system and the operation parameter under the current reference working condition; and an over-supply regulation module configured to determine a target over-supply operation mode of the middle-deep ground source heat pump system based on the over-supply time period cumulative heat extraction amount increase ratio under different over-supply operation modes and the heat demand level of the building.

[0014] In a third aspect, the present application provides an electronic device, comprising a processor and a memory, wherein the memory stores computer executable instructions capable of being executed by the processor, and the processor executes the computer executable instructions to implement the steps of the method of any one of the above-mentioned first aspect.

[0015] In a fourth aspect, the present application provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is executed by a processor to perform the steps of the method of any one of the above-mentioned first aspect.

[0016] The present application has the following advantages: The above-mentioned dynamic over-supply regulation method and device for a middle-deep ground source heat pump system provided by the present application first obtains a time-of-use electricity price of a target area, and determines an over-supply operation mode of the middle-deep ground source heat pump system based on the time-of-use electricity price; then obtains an operation parameter of the middle-deep ground source heat pump system under a current reference working condition, and monitors a heat demand level of a heating building in real time; then calculates an over-supply time period cumulative heat extraction amount increase ratio under different over-supply operation modes based on a pre-constructed over-supply performance model of the middle-deep ground source heat pump system and the operation parameter under the current reference working condition; and finally determines a target over-supply operation mode of the middle-deep ground source heat pump system based on the over-supply time period cumulative heat extraction amount increase ratio under different over-supply operation modes and the heat demand level of the building. In the above-mentioned method, different over-supply operation modes can be determined in combination with the characteristics of the time-of-use electricity price, the over-supply time period cumulative heat extraction amount increase ratio under different over-supply operation modes can be calculated by using the over-supply performance model of the middle-deep ground source heat pump system, and finally the over-supply regulation of the middle-deep ground source heat pump system can be performed in combination with the over-supply time period cumulative heat extraction amount increase ratio and the heat demand level of the building. The over-supply performance model of the middle-deep ground source heat pump system can clearly determine the over-supply capacity law of the middle-deep ground source heat pump system under different over-supply time lengths, different reference working conditions and over-supply working conditions, so as to realize the accurate regulation of the over-supply process, improve the energy utilization efficiency, and reduce the system operation cost.

[0017] Other features and advantages of the present application will be set forth in the descriptions that follow, and in part will be apparent from the description, or can be learned by practice of the application. The purposes and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

[0018] To make the above objectives, features and advantages of the present application more obvious and easy to understand, the following will be described in detail with reference to the preferred embodiments and in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to be used in the specific embodiments or prior art description. Obviously, the drawings described below are some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0020] Figure 1 A schematic diagram of a middle-deep geothermal over-supply operation scenario provided by an embodiment of the present application; Figure 2 A schematic diagram of another middle-deep geothermal over-supply operation scenario provided by an embodiment of the present application; Figure 3 A schematic diagram of a middle-deep geothermal over-supply operation scenario provided by an embodiment of the present application; Figure 4 A schematic diagram of a middle-deep geothermal over-supply operation scenario provided by an embodiment of the present application; Figure 5 A schematic diagram of a middle-deep geothermal over-supply operation scenario provided by an embodiment of the present application; Figure 6 A schematic diagram of a middle-deep geothermal over-supply operation scenario provided by an embodiment of the present application; Figure 7 A flowchart of a dynamic over-supply regulation method of a middle-deep geothermal source heat pump system provided by an embodiment of the present application; Figure 8 A flowchart of a dynamic over-supply regulation method provided by an embodiment of the present application; Figure 9 A structural schematic diagram of a dynamic over-supply regulation device of a middle-deep geothermal source heat pump system provided by an embodiment of the present application; Figure 10 A structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0021] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the present application will be described clearly and completely below with reference to the drawings, obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the protection scope of the present application.

[0022] At present, in the application of the medium-deep geothermal heat pump system, the existing technology still has many deficiencies, mainly embodied in the following aspects: (1) Low energy utilization efficiency in response to time-of-use electricity price: the existing system cannot fully combine the time-of-use electricity price characteristics to develop effective dynamic adjustment strategies in the heat storage scenario, and cannot realize efficient heat storage through reasonable over-supply means during the low electricity price period, resulting in the need to consume more energy to meet the heating demand during the high electricity price period, thereby increasing the operation cost.

[0023] (2) Lack of targeted over-supply capacity regulation: the over-supply capacity of the system depends on the characteristics of medium-deep geothermal resources, including over-supply capacity, sustainability, response characteristics, etc., but the existing technology does not conduct in-depth research and quantitative analysis on these characteristics, making it difficult to accurately regulate over-supply operation according to actual demand, and may result in insufficient over-supply to meet subsequent demand or excessive over-supply affecting the sustainability of geothermal resources.

[0024] (3) Unreasonable operation condition setting: the traditional system adopts "high guarantee rate" when configuring capacity, so that the heat source system operates in a partial load rate scenario during most of the heating season, and the design condition only occurs in a small amount of time, which fails to optimize the operation condition according to the dynamic fluctuation characteristics of building heat load, resulting in energy waste.

[0025] (4) Lack of quantitative regulation rules and methods: the existing technology does not establish a clear relationship between the cumulative heat extraction rate increase ratio during over-supply period, over-supply time length, baseline condition and over-supply condition, which cannot provide scientific and accurate guidance for the optimized operation of the system, resulting in a large degree of blindness in system operation.

[0026] Therefore, the dynamic over-supply regulation method and device for a medium-deep geothermal heat pump system provided by the embodiments of the present application can improve the energy utilization efficiency and reduce the operation cost of the system.

[0027] To facilitate the understanding of the present embodiment, first of all, the construction of the over-supply performance model of the medium-deep buried pipe disclosed in the embodiment of the present application is introduced in detail, based on the time-of-use electricity price characteristics, by setting different reference working conditions and over-supply working conditions, combined with dynamic simulation means, the operation characteristics and laws of the system under different over-supply time lengths are analyzed, so as to obtain the over-supply performance law of the medium-deep buried pipe, that is, the over-supply performance model of the medium-deep buried pipe.

[0028] Based on this, the construction of the over-supply performance model of the medium-deep buried pipe includes the following processes: (1) Obtain the time-of-use electricity price of the target area, and determine the over-supply time period of the medium-deep ground source heat pump system based on the time-of-use electricity price.

[0029] In specific implementation, first of all, the high electricity price period (such as the peak period, the peak period) and the low electricity price period (such as the valley electricity period) are determined according to the time-of-use electricity price of the target area, and the low electricity price period before the high electricity price period is taken as the over-supply time period. It is assumed that the peak period is a specific 1-2 hours per day, the peak period is another specific period, and the low electricity price period before the peak period and the peak period is the over-supply time period. Referring to FIG. 1, the peak period of the electricity price is 19-20 hours, 1 hour (i.e. 18 hours) before the peak period can be determined as the over-supply time period, or 2 hours (i.e. 17-18 hours) before the peak period can be determined as the over-supply time period; referring to FIG. 2, the peak period of the electricity price is 19-20 hours, and the peak period is 9-11 hours. The low electricity price period before the peak period (i.e. 18 hours) and the low electricity price period before the peak period (i.e. 8 hours) can be determined as the over-supply time period, or the low electricity price period before the peak period (i.e. 17-18 hours) and the low electricity price period before the peak period (i.e. 7-8 hours) can be determined as the over-supply time period. Figure 1 Figure 2 (2) Determine a plurality of different reference working conditions of the medium-deep ground source heat pump system and the over-supply working conditions corresponding to the over-supply operation modes.

[0030] (3) Based on the time-of-use electricity price characteristics, through setting different reference working conditions and over-supply working conditions, combined with dynamic simulation means, the operation characteristics and laws of the system under different over-supply time lengths are analyzed, so as to obtain the over-supply performance law of the medium-deep buried pipe, that is, the over-supply performance model of the medium-deep buried pipe.

[0031] In specific implementation, the reference inlet water temperature (i.e. reference working condition) of the medium-deep buried pipe of the medium-deep ground source heat pump system is set, including a plurality of different temperature scenarios (such as 8℃, 12℃, 15℃, 20℃, etc.), and the medium-deep ground source heat pump system operates in the reference working condition in the non-over-supply time period.

[0032] In the over-supply time period, the inlet water temperature of the medium-deep buried pipe is adjusted to the maximum heat extraction working condition temperature (such as 4℃), and different over-supply time lengths (such as 1h before the peak, 2h before the peak, 1h before the peak and the peak, 2h before the peak and the peak) are set.

[0033] ​(3) By simulating the over-supply operation mode and multiple different benchmark working conditions of the middle-deep ground source heat pump system, an over-supply performance model of the middle-deep ground source heat pump system is constructed; wherein, the over-supply performance model of the middle-deep ground source heat pump system is used to represent the relationship between the over-supply performance of the middle-deep ground source heat pump system and the benchmark working condition and the over-supply working condition of the over-supply operation mode.

[0034] In the specific implementation, first, based on the over-supply working condition and the over-supply working condition corresponding to the over-supply operation mode, the operation parameters of the middle-deep ground source heat pump system under different over-supply operation modes and the operation parameters of the middle-deep ground source heat pump system under different benchmark working conditions are calculated through dynamic simulation; wherein, the operation parameters at least include: heat extraction, inlet temperature and outlet temperature; then, the operation parameters of the middle-deep ground source heat pump system under different over-supply operation modes and the operation parameters of the middle-deep ground source heat pump system under different benchmark working conditions are compared, and the cumulative heat extraction enhancement ratio of the over-supply period under different over-supply operation modes is calculated; finally, the cumulative heat extraction enhancement ratio of the over-supply period under different over-supply operation modes under different benchmark working conditions is analyzed and regression fitted, and the over-supply performance model of the middle-deep ground source heat pump system is obtained.

[0035] Specifically, by using dynamic simulation means, the hourly heat extraction, inlet temperature, outlet temperature and other operation parameters of the middle-deep ground source heat pump system under different over-supply working conditions are calculated, and the heat extraction, peak heat extraction and other parameters under the over-supply working condition are compared with the benchmark working condition, the cumulative heat extraction enhancement ratio of the over-supply period is calculated, the relationship between the over-supply capacity of the middle-deep ground source heat pump system and the over-supply time, the benchmark working condition and the over-supply working condition is analyzed, and the over-supply performance model of the middle-deep ground source heat pump system is obtained.

[0036] In one embodiment, the benchmark inlet water temperature is selected as 20℃ (benchmark working condition one), 15℃ (benchmark working condition two), 12℃ (benchmark working condition three) and 8℃ (benchmark working condition four). The inlet water temperature of the over-supply working condition is set to 4℃ (the lowest inlet water temperature for stable operation of the ground source heat pump), and the over-supply time is set to 1h before the peak, 2h before the peak, 1h before the peak and the high peak, and 2h before the peak and the high peak. The operation scene of the middle-deep ground source heat pump system is shown in Table 1.

[0037] Table 1: Setting operation working condition of middle-deep ground heat dynamic response

[0038] The simulation results of the heat extraction amount and the inlet and outlet temperatures of the deep ground pipe in the benchmark condition one (the water inlet temperature of the deep ground pipe is 20°C) are shown in Table 2 and Table 3. In the benchmark condition one (the water inlet temperature of the deep ground pipe is 20°C), the cumulative heat extraction amount of the deep ground pipe from the underground rock-soil in the over-supply period and the cumulative heat extraction amount in the benchmark condition are calculated and analyzed to obtain the following results: (1) 1 hour before the peak, the cumulative heat extraction amount of the deep ground pipe from the underground rock-soil in the benchmark condition is 282.2 kWh, and the cumulative heat extraction amount of the deep ground pipe from the underground rock-soil in the maximum heat extraction condition (the over-supply condition) is 604.8 kWh; the increase ratio of the cumulative heat extraction amount is 114.3%; (2) 2 hours before the peak, the cumulative heat extraction amount in the benchmark condition is 566.4 kWh, and the cumulative heat extraction amount in the maximum heat extraction condition (the over-supply condition) is 1171.3 kWh; the increase ratio is 106.8%; (3) 1 hour before the peak and the high peak, the cumulative heat extraction amount in the benchmark condition is 593.9 kWh, and the cumulative heat extraction amount in the maximum heat extraction condition (the over-supply condition) is 1236.0 kWh; the increase ratio is 108.1%; and (4) 2 hours before the peak and the high peak, the cumulative heat extraction amount in the benchmark condition is 1194.9 kWh, and the cumulative heat extraction amount in the maximum heat extraction condition (the over-supply condition) is 2392.1 kWh; the increase ratio is 100.2%.

[0039] Table 2 Cumulative heat extraction amount in different time periods (benchmark condition one)

[0040] Table 3 Increase ratio of cumulative heat extraction amount in different time periods (benchmark condition one)

[0041] As shown in Table 4 and Table 5, in the benchmark condition one (the water inlet temperature of the deep ground pipe is 20°C), the peak heat extraction amount in the over-supply condition and the peak heat extraction amount in the benchmark condition are calculated and analyzed to obtain the following results: (1) the peak heat extraction amount in the benchmark condition is 444.1 kW; (2) the peak heat extraction amount in the 24-hour period in the “1 hour over-supply before the peak” is 643.3 kW, which is increased by 44.9% compared with the benchmark condition; (3) the peak heat extraction amount in the 24-hour period in the “2 hours over-supply before the peak” is 645.4 kW, which is increased by 45.3% compared with the benchmark condition; (4) the peak heat extraction amount in the 24-hour period in the “1 hour over-supply before the peak and the high peak” is 674.0 kW, which is increased by 51.8% compared with the benchmark condition; (5) the peak heat extraction amount in the 24-hour period in the “2 hours over-supply before the peak and the high peak” is 679.3 kW, which is increased by 53.0% compared with the benchmark condition; and (6) supplementary description, compared with the design condition (i.e., the benchmark condition four, the water inlet temperature of the deep ground pipe is 8°C), the peak heat extraction amount in the 24-hour period in the above over-supply scenarios in the benchmark condition one is the same as the peak heat extraction amount in the 24-hour period in the design condition, and there is no additional increase.

[0042] Table 4 Peak heat extraction amount in different time periods (benchmark condition one)

[0043] Table 5 Peak heat extraction rate increase ratio (baseline condition 1)

[0044] Similarly, the simulation results of the basic conditions 2, 3, and 4 can be obtained: In the baseline condition 2 (middle-deep buried pipe water inlet temperature 15℃), baseline condition 3 (middle-deep buried pipe water inlet temperature 12℃), and baseline condition 4 (middle-deep buried pipe water inlet temperature 8℃), the cumulative heat extraction of the oversupply period and the cumulative heat extraction under the baseline condition are calculated and analyzed to obtain: (1) 1h before the peak, the cumulative heat extraction increase ratio of the oversupply condition of the baseline condition 2 compared to the baseline condition is 64.4%. The cumulative heat extraction increase ratio of the oversupply condition of the baseline condition 3 compared to the baseline condition is 42.3%. The cumulative heat extraction increase ratio of the oversupply condition of the baseline condition 4 compared to the baseline condition is 18.7%.

[0045] (2) 2h before the peak, the cumulative heat extraction increase ratio of the oversupply condition of the baseline condition 2 compared to the baseline condition is 60.2%. The cumulative heat extraction increase ratio of the oversupply condition of the baseline condition 3 compared to the baseline condition is 39.5%. The cumulative heat extraction increase ratio of the oversupply condition of the baseline condition 4 compared to the baseline condition is 17.5%.

[0046] (3) 1h before the peak and high peak, the cumulative heat extraction increase ratio of the oversupply condition of the baseline condition 2 compared to the baseline condition is 60.8%. The cumulative heat extraction increase ratio of the oversupply condition of the baseline condition 3 compared to the baseline condition is 39.9%. The cumulative heat extraction increase ratio of the oversupply condition of the baseline condition 4 compared to the baseline condition is 17.6%.

[0047] (4) 2h before the peak and high peak, the cumulative heat extraction increase ratio of the oversupply condition of the baseline condition 2 compared to the baseline condition is 56.4%. The cumulative heat extraction increase ratio of the oversupply condition of the baseline condition 3 compared to the baseline condition is 37.0%. The cumulative heat extraction increase ratio of the oversupply condition of the baseline condition 4 compared to the baseline condition is 16.3%.

[0048] In the baseline condition 2 (middle-deep buried pipe water inlet temperature 15℃), baseline condition 3 (middle-deep buried pipe water inlet temperature 12℃), and baseline condition 4 (middle-deep buried pipe water inlet temperature 8℃), the peak heat extraction of the oversupply condition and the peak heat extraction under the baseline condition are calculated and analyzed to obtain: (1) Baseline Condition 2: The peak heat output of 24 hours is 6.5% higher than the baseline condition when the supply is 1 hour ahead of the peak; the peak heat output of 24 hours is 7.0% higher than the baseline condition when the supply is 2 hours ahead of the peak; the peak heat output of 24 hours is 13.5% higher than the baseline condition when the supply is 1 hour ahead of both peak and off-peak hours; and the peak heat output of 24 hours is 14.6% higher than the baseline condition when the supply is 2 hours ahead of both peak and off-peak hours.

[0049] (2) Peak heat extraction for 24 hours under the following scenarios: baseline working condition 2, baseline working condition 3, and baseline working condition 4. The oversupply working condition is the same as the baseline working condition.

[0050] Furthermore, under different baseline operating conditions and different over-supply operation modes, the dynamic operating characteristics and over-supply performance of medium-deep buried pipes were further analyzed, based on the analysis of the cumulative heat extraction increase during the over-supply period, the peak heat extraction capacity of the over-supply mode throughout the day, and the cumulative heat extraction increase throughout the day.

[0051] First, define the percentage increase in cumulative heat extraction during periods of oversupply, as shown in the following formula.

[0052]

[0053] in, n To increase the cumulative heat collection rate during periods of oversupply, % t Runtime, in hours; The start time of the oversupply period, in hours (h). The end time of the oversupply period, h; For hourly heat supply of deep buried pipe systems under over-supply conditions, kW; The hourly heat supply of the deep buried pipe system under the baseline operating conditions is given in kW.

[0054] The oversupply performance of the medium-deep buried pipe system under the various oversupply modes described above is analyzed below. (See also...) Figures 3 to 6 As shown, under the computational boundary conditions of the aforementioned embodiments, based on several oversupply conditions, the relationship between the oversupply capacity of the medium-deep buried pipe system and influencing factors such as oversupply duration, baseline condition, and oversupply condition is obtained. This leads to the further deriving of the oversupply capacity law for medium-deep buried pipes, i.e., the oversupply performance model for medium-deep buried pipes is:

[0055] in, n To increase the cumulative heat collection rate during periods of oversupply, % For over-supply duration, h; This serves as the baseline operating condition for a medium-deep ground source heat pump system. This refers to the oversupply condition of a medium-deep ground source heat pump system.

[0056] Further, the super-supply capacity quantitative data trend of the middle-deep buried pipe under the boundary conditions in the report is obtained by quantifying the super-supply mode and the benchmark working condition data in the foregoing of the report, and referring to Table 6: Table 6 Super-supply performance of middle-deep ground source heat pump system

[0057] Further, the super-supply capacity rule obtained in the embodiment of the present application can also be used to calculate the heat extraction capacity improvement potential under different benchmark working conditions (such as water inlet temperature 8℃, 12℃, 15℃, 20℃) and super-supply time length according to the building heating demand, local time-of-use electricity price policy and geothermal resource characteristics in the planning stage of the middle-deep ground source heat pump system, and to optimize the parameters such as buried pipe specification and heat pump unit capacity. In the system operation process, the optimal super-supply time length is quickly determined by using the rule formula combined with real-time heating demand and electricity price period, for example: when the benchmark working condition is 15℃, the heat extraction capacity improvement effect of super-supply for 1h or 2h is calculated by the formula, and precise regulation and control is realized. By comparing the operation cost (combined with time-of-use electricity price) and energy efficiency improvement amplitude of different super-supply strategies through the quantitative rule, the super-supply scheme with the highest cost performance is selected under the premise of meeting the heating demand, so as to reduce the system operation cost.

[0058] Next, a dynamic super-supply regulation and control method of the middle-deep ground source heat pump system provided by the embodiment of the present application is introduced in detail, which can be executed by an electronic device, and a flow chart of the dynamic super-supply regulation and control method of the middle-deep ground source heat pump system is shown in Figure 7 The method mainly includes the following steps S701 to S704: Step S701: acquiring the time-of-use electricity price of a target area, and determining the super-supply operation mode of the middle-deep ground source heat pump system based on the time-of-use electricity price.

[0059] In specific implementation, the power supply data of the target area is collected, and the time-of-use electricity price is determined, and then the super-supply operation mode of the middle-deep ground source heat pump system is determined according to the time-of-use electricity price. Specifically, it includes: Firstly, the peak period, the high peak period and the low electricity price period are determined based on the time-of-use electricity price; wherein the period when the time-of-use electricity price is greater than or equal to the first threshold value is the peak period, the period when the time-of-use electricity price is greater than or equal to the second threshold value and less than the first threshold value is the high peak period, and the period when the time-of-use electricity price is less than the second threshold value is the low electricity price period, and the first threshold value is greater than the second threshold value. Specifically, referring to Figure 1 The first threshold value can be 0.9, and the second threshold value can be 0.8, so the period when the electricity price is greater than 0.9 is the peak period, the period when the electricity price is greater than 0.8 but less than 0.9 is the high peak period, and the remaining period is the low electricity price period.

[0060] Then, based on the peak period and the peak period, the over-supply period is determined; wherein the over-supply period includes one of the following: a first preset low price period before the peak period, a second preset low price period before the peak period, a first preset low price period before the peak period and a first preset low price period before the peak period, a second preset low price period before the peak period and a second preset low price period before the peak period. Specifically, the first preset low price period can be 1 hour, and the second preset low price period can be 2 hours, as shown in Figure 1 As shown, 1 hour before the peak period (i.e. 18 o'clock) can be determined as the over-supply period, or 2 hours before the peak period (i.e. 17-18 o'clock) can be determined as the over-supply period; as shown in Figure 2 As shown, 1 hour before the peak period (i.e. 18 o'clock) and 1 hour before the peak period (i.e. 8 o'clock) can be determined as the over-supply period, or 2 hours before the peak period (i.e. 17-18 o'clock) and 2 hours before the peak period (i.e. 7-8 o'clock) can be determined as the over-supply period.

[0061] Finally, based on the over-supply period, the over-supply operation mode is determined; wherein the over-supply operation mode is that the medium-deep geothermal heat pump system operates according to the corresponding over-supply working condition in the over-supply period, and operates according to the reference working condition in the remaining period; each over-supply operation mode corresponds to an over-supply period.

[0062] Specifically, the medium-deep geothermal heat pump system can be over-supplied in 1 hour before the peak period and 1 hour before the peak period, and the remaining period can be operated according to the reference working condition, as the first over-supply operation mode; the medium-deep geothermal heat pump system can be over-supplied in 2 hours before the peak period and 2 hours before the peak period, and the remaining period can be operated according to the reference working condition, as the second over-supply operation mode; the medium-deep geothermal heat pump system can be over-supplied in 1 hour before the peak period, and the remaining period can be operated according to the reference working condition, as the third over-supply operation mode; the medium-deep geothermal heat pump system can be over-supplied in 2 hours before the peak period, and the remaining period can be operated according to the reference working condition, as the fourth over-supply operation mode.

[0063] Step S702: obtaining the operating parameters of the medium-deep geothermal heat pump system in the current reference working condition, and real-time monitoring the heating demand level of the heating building.

[0064] In an embodiment, the memory working condition of the medium-deep geothermal heat pump system includes: the reference water inlet temperature is 20℃ (reference working condition one), 15℃ (reference working condition two), 12℃ (reference working condition three), and 8℃ (reference working condition four); the current reference working condition can be determined according to the current operating parameters of the medium-deep geothermal heat pump system. At the same time, the heating demand level of the heating building is monitored in real time during system operation.

[0065] Step S703: Based on the pre-constructed over-supply performance model of the middle-deep ground source heat pump system and the operating parameters under the current benchmark working condition, the cumulative heat extraction enhancement ratio of the over-supply period under different over-supply operation modes is calculated.

[0066] In an embodiment, the operating parameters under the current benchmark working condition and the over-supply time corresponding to different over-supply operation modes are input into the over-supply performance model of the middle-deep ground source heat pump system (Table 6) to obtain the cumulative heat extraction enhancement ratio of the over-supply period under different over-supply operation modes.

[0067] Step S704: Based on the cumulative heat extraction enhancement ratio of the over-supply period under different over-supply operation modes and the building heating demand level, the target over-supply operation mode of the middle-deep ground source heat pump system is determined.

[0068] In an embodiment, the cumulative heat extraction enhancement ratio of the over-supply period under different over-supply operation modes is combined with the building heating demand level for over-supply control. For example, if the heating demand during the peak period is high (e.g., the peak heat extraction demand exceeds 150% of the benchmark working condition), the mode of over-supplying for 1h or 2h during the peak and pre-peak periods is selected. If only the demand during the peak period is high and the demand during other periods is stable, the mode of over-supplying for 1h or 2h before the peak period is selected. After the over-supply period ends, the system automatically switches back to the benchmark working condition operation.

[0069] The dynamic over-supply control method of the middle-deep ground source heat pump system provided by the embodiment of the present application can determine different over-supply operation modes in combination with the time-of-use electricity price characteristics, calculate the cumulative heat extraction enhancement ratio of the over-supply period under different over-supply operation modes using the over-supply performance model of the middle-deep ground source heat pump system, and finally control the over-supply of the middle-deep ground source heat pump system in combination with the cumulative heat extraction enhancement ratio of the over-supply period and the building heating demand level. The over-supply performance model of the middle-deep ground source heat pump system can clearly determine the over-supply capacity law of the middle-deep ground source heat pump system under different over-supply time lengths, different benchmark working conditions, and over-supply working conditions, thereby realizing precise control of the over-supply process, improving energy utilization efficiency, and reducing system operation cost.

[0070] In an embodiment, for the aforementioned step S702, when monitoring the heating demand level of the heating building in real time, the following methods can be used, including but not limited to: collecting heat load data of the heating building, and determining the heating demand level corresponding to the peak period and the pre-peak period based on the heat load data; wherein if the heat load data of the peak period or the pre-peak period exceeds a first preset value, the heating demand level corresponding to the peak period or the pre-peak period is determined as high heating demand.

[0071] In specific implementation, the heat load is the heat provided by the heat supply system to the building or equipment per unit time, which is usually related to the heat loss of the building, the heat gain and the temperature difference between indoor and outdoor. The temperature of the building surface can be monitored in real time by intelligent monitoring equipment such as thermal imager and intelligent control valve, and the temperature change can be recorded by the data acquisition system to identify the heat load fluctuation. Then, according to the heat load data, the heat demand level corresponding to the peak period and the peak period is determined. If the heat load data of the peak period or the peak period exceeds the first preset value, it is determined that the heat demand level corresponding to the peak period or the peak period is high heat demand.

[0072] In an embodiment, for the foregoing step S704, i.e., determining the target over-supply operation mode of the middle-deep ground source heat pump system based on the cumulative heat extraction ratio of the over-supply period under different over-supply operation modes and the building heat demand level, the following methods can be used, but are not limited to: If the heat demand level corresponding to the peak period and the peak period is high heat demand, the first over-supply operation mode corresponding to the first preset low electricity price period before the peak period and the first preset low electricity price period before the peak period, and the second over-supply operation mode corresponding to the second preset low electricity price period before the peak period and the second preset low electricity price period before the peak period are determined as the candidate over-supply operation mode, and the target over-supply operation mode of the middle-deep ground source heat pump system is determined according to the cumulative heat extraction ratio of the over-supply period corresponding to the first over-supply operation mode and the second over-supply operation mode.

[0073] In specific implementation, if the heat demand level corresponding to the peak period and the peak period is high heat demand, the first over-supply operation mode (over-supply for 1 hour before the peak and the peak) and the second over-supply operation mode (over-supply for 2 hours before the peak and the peak) are determined as the candidate over-supply operation mode, and then the target over-supply operation mode is selected according to the cumulative heat extraction ratio of the over-supply period corresponding to the first over-supply operation mode and the second over-supply operation mode.

[0074] If the heat demand level corresponding to the peak period is high heat demand, the third over-supply operation mode corresponding to the first preset low electricity price period before the peak period, and the fourth over-supply operation mode corresponding to the second preset low electricity price period before the peak period are determined as the candidate over-supply operation mode, and the target over-supply operation mode of the middle-deep ground source heat pump system is determined according to the cumulative heat extraction ratio of the over-supply period corresponding to the third over-supply operation mode and the fourth over-supply operation mode.

[0075] In specific implementation, if the heating demand level of only the peak period is high heating demand, the third over-supply operation mode (over-supply 1 hour before the peak) and the fourth over-supply operation mode (over-supply 2 hours before the peak) are determined as candidate over-supply operation modes, and then according to the cumulative heat extraction ratio of the over-supply period corresponding to the third over-supply operation mode and the fourth over-supply operation mode, the over-supply period with a higher cumulative heat extraction ratio is selected as the final target over-supply operation mode.

[0076] It should be noted that under the same reference working condition, the longer the over-supply time is, the better it is. For example, in the reference working condition one (20℃), the cumulative heat extraction ratio of over-supply 1 hour before the peak (114.3%) is higher than that of over-supply 2 hours before the peak (106.8%), which indicates that the short-time over-supply has higher energy efficiency and can be preferentially selected. The higher the inlet water temperature of the reference working condition (for example, 20℃), the more significant the heat extraction ratio of over-supply (for example, 114.3% of the reference working condition one 20℃ vs. 18.7% of the reference working condition four 8℃), and therefore, the over-supply time of the high reference temperature system can be appropriately prolonged, and the over-supply time of the low reference temperature system needs to be controlled to avoid energy efficiency loss.

[0077] In the power grid load peak (high electricity price period), the system heat extraction is reduced, and the heat stored in the over-supply period is relied on to meet the demand; in the power grid load valley (low electricity price period), the over-supply heat extraction is increased to balance the power grid load. For example, when the power grid load is tight in the peak period, enough heat is stored through 2 hours of over-supply in advance, the power consumption in the peak period is reduced, and the demand for peak shaving of the power grid is responded.

[0078] When the building heat load suddenly increases (for example, in extremely low temperature weather), the over-supply 2 hours before the peak and the peak is automatically triggered, and the heat extraction at a higher peak (increased by 53.0%) is used to guarantee the heat supply. When the heat load is stable, the over-supply 1 hour before the peak is switched to, so that the energy efficiency optimization is realized at the lowest cost.

[0079] The parameters in the over-supply performance law formula are regularly corrected according to the system operation data (such as inlet and outlet temperatures and heat extraction), and the accuracy of the quantitative model is improved. In combination with the geothermal resource monitoring data (such as the temperature change of the underground rock-soil body), the upper limit of the over-supply time is dynamically adjusted to ensure the sustainable use of the geothermal resources.

[0080] Through the above method, the optimal balance among energy efficiency, cost and sustainability of the medium-deep geothermal source heat pump system can be realized, and the clean energy supply advantage of the renewable energy can be fully played.

[0081] For ease of understanding, the present application embodiment further provides a dynamic over-supply regulation method flow chart, which is shown in Figure 8 and mainly includes: Step 1: Determine the time-of-use electricity price period. The high electricity price period and the low electricity price period are determined, and the low electricity price period before the high electricity price period appears is taken as the over-supply period.

[0082] Step 2: Set the reference working condition. Set the reference accumulated water temperature of the middle-deep buried pipe in the design, and run in the reference working condition during the non-supply period.

[0083] Step 3: Set the supply working condition. During the supply period, adjust the inlet water temperature of the middle-deep buried pipe to the maximum heat extraction working condition temperature, and set different supply time lengths.

[0084] Step 4: Dynamic simulation calculation. Use dynamic simulation means to calculate the hourly heat extraction, inlet and outlet temperatures, and other operating parameters of the middle-deep buried pipe under different supply working conditions.

[0085] Step 5: Analyze the supply capacity and dynamic response characteristics. Compare the parameters such as the lack of quantity and peak heat extraction under the supply working condition with the reference working condition, calculate the cumulative heat extraction improvement ratio during the supply period, and analyze the relationship between the supply capacity, supply time length, reference working condition, and supply working condition.

[0086] Step 6: Develop an optimal control strategy. According to the analysis results, determine the optimal supply time length and operating parameters under different time-of-use electricity price scenarios to realize dynamic supply adjustment of the system.

[0087] In one embodiment, according to the simulation results, in the system corresponding to the reference working condition, when the demand for heating is high during the peak period, a supply strategy of 1 hour or 2 hours of supply before the peak and during the peak can be selected to meet the demand for heating and improve energy utilization efficiency.

[0088] Specifically, the fluctuation law of the heat load during the peak period is analyzed in combination with the building type (such as residential buildings, commercial buildings), outdoor temperature, and use scenarios. If it is monitored that the heat load during the peak period is continuously at a high level (such as the heating demand during extremely low temperature weather in winter), and exceeds the design load of the reference working condition, it is determined that the demand is high. If the heat load is within the load range of the reference working condition or has small fluctuations, it is determined that the demand is not high.

[0089] The supply strategy selection scheme includes: 1 hour of supply before the peak and during the peak: suitable for scenarios where the demand for heating during the peak period is high but not extreme. This strategy not only meets the demand, but also has a cumulative heat extraction improvement ratio (108.1%) slightly higher than 2 hours of supply before the peak and during the peak, and a cumulative heat extraction improvement of 5.9% in 24 hours, which is more energy efficient.

[0090] 2 hours of supply before the peak and during the peak: suitable for scenarios where the demand for heating during the peak period is extremely high. Although the cumulative heat extraction improvement ratio (100.2%) is slightly lower than 1 hour of supply before the peak and during the peak, the peak heat extraction is improved more (53.0%), which can ensure the stability of heating under extreme demand, and the cumulative heat extraction is improved by 11.7% in 24 hours, which is more energy efficient.

[0091] The dynamic oversupply regulation method of the above-mentioned middle-deep ground source heat pump system has the following beneficial technical effects and advantages: (1) Significantly improves energy utilization efficiency: by oversupplying heat storage during low electricity price periods and reducing energy supply during high electricity price periods, the difference in time-of-use electricity prices is fully utilized, the operation cost of the system is reduced, and the energy utilization efficiency is improved. For example, under the benchmark condition (inlet water temperature 20℃), oversupplying 1h before the peak, the cumulative heat extraction amount can be increased by 114.3%, greatly improving the energy utilization rate.

[0092] (2) Precisely meet the heating demand: By setting different oversupply time and working conditions, the system's heat supply can be precisely regulated according to the dynamic fluctuation characteristics of the building heat load, ensuring that the heating demand can be met during the peak and high peak periods of high electricity prices, avoiding the situation of insufficient heating.

[0093] (3) Ensure stable and sustainable operation of the system: Through dynamic simulation and quantitative analysis, the relationship between oversupply capacity, oversupply time, benchmark condition and oversupply condition is determined, avoiding excessive oversupply of geothermal resources and ensuring stable and sustainable operation of the middle-deep ground source heat pump system.

[0094] (4) Enhance the response ability to the demand of power grid: The regulation method can make the middle-deep ground source heat pump system better respond to the peak load shifting and valley load filling demand of the power grid, balance the power grid load by increasing heat extraction during low electricity price periods and reducing heat extraction during high electricity price periods, and promote the consumption of clean energy.

[0095] (5) Provide scientific operation guidance: The quantitative relationship formula between the cumulative heat extraction amount increase ratio during the oversupply period, the oversupply time, the benchmark condition and the oversupply condition is established (such as n=0.014t 12 2 -0.117t 12 +1.246, etc.), which provides a scientific basis for the optimized design and operation management of the system, and facilitates the operation and regulation in practical application.

[0096] For the dynamic oversupply regulation method of the middle-deep ground source heat pump system provided in the foregoing embodiments, the embodiment of the present application further provides a dynamic oversupply regulation device for a middle-deep ground source heat pump system, which is shown in a structural schematic diagram of a dynamic oversupply regulation device for a middle-deep ground source heat pump system, as shown in Figure 9 The device mainly includes the following parts: The operation mode determination module 901 is used to obtain the time-of-use electricity price of the target area, and determine the oversupply operation mode of the middle-deep ground source heat pump system based on the time-of-use electricity price.

[0097] The heat supply demand monitoring module 902 is configured to acquire an operation parameter of the middle-deep ground source heat pump system under a current benchmark working condition, and monitor a heat supply demand level of the heat supply building in real time.

[0098] The heat extraction amount promotion ratio calculation module 903 is configured to calculate a cumulative heat extraction amount promotion ratio in the over-supply period under different over-supply operation modes based on the over-supply performance model of the middle-deep ground source heat pump system and the operation parameter under the current benchmark working condition.

[0099] The over-supply control module 904 is configured to determine a target over-supply operation mode of the middle-deep ground source heat pump system based on the cumulative heat extraction amount promotion ratio in the over-supply period under different over-supply operation modes and the heat supply demand level of the building.

[0100] The dynamic over-supply control device of the middle-deep ground source heat pump system provided in the embodiment of the present application can determine different over-supply operation modes in combination with the time-of-use electricity price characteristics, calculate the cumulative heat extraction amount promotion ratio in the over-supply period under different over-supply operation modes by using the over-supply performance model of the middle-deep ground source heat pump system, and finally control the over-supply of the middle-deep ground source heat pump system in combination with the cumulative heat extraction amount promotion ratio in the over-supply period and the heat supply demand level of the building. The over-supply performance model of the middle-deep ground source heat pump system can clearly determine the over-supply capacity law of the middle-deep ground source heat pump system under different over-supply time lengths, different benchmark working conditions and over-supply working conditions, so as to realize accurate control of the over-supply process, improve the energy utilization efficiency, and reduce the system operation cost.

[0101] It should be noted that the device provided in the embodiment of the present application has the same implementation principle and technical effects as the foregoing method embodiments, and for brevity, the part not mentioned in the device embodiment part can be referred to the corresponding content in the foregoing method embodiments. The specific numerical values provided in the embodiment of the present application are only exemplary and are not limited herein.

[0102] The embodiment of the present application further provides an electronic device, specifically, the electronic device includes a processor and a storage device; the storage device stores a computer program, and the computer program executes the method described in any one of the above embodiments when being run by the processor.

[0103] Figure 10 The structure schematic diagram of an electronic device provided in the embodiment of the present application, the electronic device 100 includes: a processor 10, a memory 11, a bus 12 and a communication interface 13, the processor 10, the communication interface 13 and the memory 11 are connected through the bus 12; the processor 10 is used for executing the executable modules stored in the memory 11, such as a computer program.

[0104] The memory 11 can include a high-speed random access memory (RAM), and can also include a non-volatile memory, such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 13 (which can be wired or wireless), and the Internet, a wide area network, a local area network, a metropolitan area network, etc. can be used.

[0105] The bus 12 can be an ISA bus, a PCI bus, an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 10 Only one bidirectional arrow is used in the figure, but it does not mean that there is only one bus or only one type of bus.

[0106] The memory 11 is used to store programs, and the processor 10 executes the programs after receiving execution instructions. The method executed by the device defined by the flow process disclosed in any of the embodiments of the application can be applied to the processor 10 or implemented by the processor 10.

[0107] The processor 10 can be an integrated circuit chip with signal processing capability. In the implementation process, each step of the above method can be completed by integrated logic circuits of hardware in the processor 10 or instructions in the form of software. The processor 10 described above can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. It can implement or execute the disclosed methods, steps and logic block diagrams in the embodiments of the application. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in combination with the embodiments of the application can be directly embodied as a hardware coding processor for execution, or a combination of hardware and software modules in the coding processor for execution. The software module can be located in a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium in the art. The storage medium is located in the memory 11, and the processor 10 reads the information in the memory 11 and combines the hardware to complete the steps of the above method.

[0108] The computer program product of the readable storage medium provided by the embodiment of the present application comprises a computer readable storage medium storing program codes, and the program codes comprise instructions for executing the method described in the foregoing method embodiments. The specific implementation can be referred to the foregoing method embodiments, and will not be described here.

[0109] When the functions are realized in the form of software function units and sold or used as independent products, the functions can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the parts of the technical solutions that essentially contribute to the prior art can be embodied in the form of software products. The computer software product is stored in a storage medium and includes instructions for making a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in the embodiments of the present application. The foregoing storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0110] Finally, it should be noted that: the above-described embodiments are merely specific implementations of the present application, which are used to illustrate the technical solutions of the present application, but not to limit the present application. The protection scope of the present application is not limited to this. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily think of changes to the technical solutions recorded in the foregoing embodiments, or replace some technical features with equivalent ones within the technical range disclosed by the present application. The modifications, changes or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A dynamic over-supply regulation method for a medium-depth ground source heat pump system, characterized in that, The method comprises the following steps: acquiring a time-of-use electricity price of a target area, and determining an over-supply operation mode of a medium-deep geothermal heat pump system based on the time-of-use electricity price; acquiring an operation parameter of the medium-deep geothermal heat pump system under a current reference working condition, and monitoring a heating demand level of a heating building in real time; calculating an over-supply time period cumulative heat extraction amount improvement ratio under different over-supply operation modes based on a pre-constructed over-supply performance model of the medium-deep geothermal heat pump system and the operation parameter under the current reference working condition; determining a target over-supply operation mode of the medium-deep geothermal heat pump system based on the over-supply time period cumulative heat extraction amount improvement ratio under different over-supply operation modes and the heating demand level of the building.

2. The method of claim 1, wherein, The method for determining an over-supply operation mode of a medium-deep geothermal heat pump system based on a time-of-use electricity price comprises the following steps: determining a peak time period, a high peak time period and a low electricity price time period based on the time-of-use electricity price; wherein the time-of-use electricity price greater than or equal to a first threshold value is the peak time period, the time-of-use electricity price greater than or equal to a second threshold value and less than the first threshold value is the high peak time period, and the time-of-use electricity price less than the second threshold value is the low electricity price time period, and the first threshold value is greater than the second threshold value; determining an over-supply time period based on the peak time period and the high peak time period; wherein the over-supply time period comprises one of the following: a first preset low electricity price time period before the peak time period, a second preset low electricity price time period before the peak time period, the first preset low electricity price time period before the peak time period and the first preset low electricity price time period before the high peak time period, and the second preset low electricity price time period before the peak time period and the second preset low electricity price time period before the high peak time period; determining an over-supply operation mode based on the over-supply time period; wherein the over-supply operation mode is that the medium-deep geothermal heat pump system operates according to a corresponding over-supply working condition during the over-supply time period, and operates according to a reference working condition during the remaining time period; each over-supply operation mode corresponds to one over-supply time period.

3. The method of claim 2, wherein, The method for monitoring a heating demand level of a heating building in real time comprises the following steps: collecting heat load data of the heating building, and determining a heating demand level corresponding to the peak time period and the high peak time period based on the heat load data; wherein if the heat load data of the peak time period or the high peak time period exceeds a first preset value, it is determined that the heating demand level corresponding to the peak time period or the high peak time period is a high heating demand.

4. The method of claim 3, wherein, The method for determining a target over-supply operation mode of the medium-deep geothermal heat pump system based on the over-supply time period cumulative heat extraction amount improvement ratio under different over-supply operation modes and the heating demand level of the building comprises the following steps: If the peak time period and the high time period correspond to high heat supply demand, the over-supply time period is the first preset low electricity price time period before the peak time period and the first preset low electricity price time period before the high time period, and the over-supply time period is the second preset low electricity price time period before the peak time period and the second preset low electricity price time period before the high time period, and the over-supply time period is determined as the candidate over-supply operation mode, and the over-supply time period is determined as the target over-supply operation mode of the medium-deep ground source heat pump system according to the over-supply time period of the first over-supply operation mode and the second over-supply operation mode. If the peak time period and the high time period correspond to high heat supply demand, the over-supply time period is the first preset low electricity price time period before the peak time period and the first preset low electricity price time period before the high time period, and the over-supply time period is the second preset low electricity price time period before the peak time period and the second preset low electricity price time period before the high time period, and the over-supply time period is determined as the candidate over-supply operation mode, and the over-supply time period is determined as the target over-supply operation mode of the medium-deep ground source heat pump system according to the over-supply time period of the first over-supply operation mode and the second over-supply operation mode.

5. The method of claim 1, wherein, After determining the over-supply operation mode of the medium-deep ground source heat pump system based on the time-of-use electricity price, the method further includes: determining a plurality of different reference working conditions of the medium-deep ground source heat pump system and an over-supply working condition corresponding to the over-supply operation mode; by simulating the over-supply operation mode of the medium-deep ground source heat pump system and a plurality of different reference working conditions, a medium-deep ground pipe over-supply performance model of the medium-deep ground source heat pump system is constructed; wherein the medium-deep ground pipe over-supply performance model is used to represent the relationship between the over-supply performance of the medium-deep ground pipe and the reference working condition, the over-supply working condition of the over-supply operation mode.

6. The method of claim 5, wherein, by simulating the over-supply operation mode of the medium-deep ground source heat pump system and a plurality of different reference working conditions, a medium-deep ground pipe over-supply performance model of the medium-deep ground source heat pump system is constructed, including: based on the over-supply working condition and the over-supply working condition corresponding to the over-supply operation mode, by dynamic simulation, the operating parameters of the medium-deep ground pipe of the medium-deep ground source heat pump system under different over-supply operation modes and the operating parameters of the medium-deep ground pipe under different reference working conditions are calculated respectively; wherein the operating parameters at least include: heat extraction, inlet temperature and outlet temperature; comparing the operating parameters of the medium-deep ground pipe under different over-supply operation modes and the operating parameters of the medium-deep ground pipe under different reference working conditions, the cumulative heat extraction improvement ratio of the over-supply time period under different over-supply operation modes is calculated; data trend analysis and regression fitting are performed on the cumulative heat extraction improvement ratio of the over-supply time period under different over-supply operation modes under different reference working conditions, and the medium-deep ground pipe over-supply performance model is obtained.

7. The method of claim 5, wherein, The medium-deep ground pipe over-supply performance model is: wherein, n is the cumulative heat extraction rate of the over-supply period; is the over-supply duration; is the reference working condition of the operation of the middle-deep ground source heat pump system; is the over-supply working condition of the operation of the middle-deep ground source heat pump system.

8. A dynamic over-supply regulating device for a medium-depth ground source heat pump system, characterized in that, including: The operation mode determination module is configured to acquire a time-of-use electricity price of the target area, and determine an over-supply operation mode of the intermediate-deep geothermal source heat pump system based on the time-of-use electricity price. The heat supply demand monitoring module is configured to acquire an operation parameter of the intermediate-deep geothermal source heat pump system under a current reference working condition, and monitor a heat supply demand level of the heat supply building in real time. The heat extraction amount improvement ratio calculation module is configured to calculate an over-supply time period cumulative heat extraction amount improvement ratio under different over-supply operation modes based on a pre-constructed over-supply performance model of the intermediate-deep geothermal source heat pump system and the operation parameter under the current reference working condition. The over-supply regulation module is configured to determine a target over-supply operation mode of the intermediate-deep geothermal source heat pump system based on the over-supply time period cumulative heat extraction amount improvement ratio under different over-supply operation modes and the heat supply demand level of the building.

9. An electronic device, comprising: The computer program is executed by the processor to perform the steps of the method of any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to perform the steps of the method of any one of claims 1 to 7.

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