Cold and heat source platform access item control method and system based on adaptive algorithm

Abstract

The invention provides a cold and heat source platform access item control method and system based on an adaptive algorithm, and belongs to the field of cold and heat source control. The method comprises the steps of obtaining a total load regulation and control demand corresponding to a regulation and control instruction, and obtaining a working mode and output power of each cold and heat project accessed by a cold and heat source platform and a heat preservation coefficient of a building where each cold and heat project is located; according to the total load regulation and control demand, the working mode and the output power, determining a basic load regulation and control value of each cooling and heating project; determining a regulation and control deviation coefficient of each cold and hot project according to the heat preservation coefficient; and adjusting the corresponding basic load regulation and control value according to the regulation and control deviation coefficient, and determining a load regulation and control target value of each cold and heat project accessed by the cold and heat source platform. According to the invention, the flexible cooperative control of each cold and heat project accessed by the cold and heat source platform can be realized, and the influence on the user demand of each cold and heat project is reduced while the total load regulation and control demand is satisfied.

Description

Technical Field

[0001] The present invention relates to the technical field of cold and heat source control, and in particular to a cold and heat source platform access project control method and system based on an adaptive algorithm. Background Art

[0002] A cold and heat source system refers to a comprehensive system used to provide cooling and heating inside a building, such as an air source heat pump system, a central air conditioning system, etc. With the development of social economy and the improvement of scientific and technological levels, cold and heat source systems have been widely used in residential buildings, office buildings, commercial buildings and other fields.

[0003] With the application of cold and hot source systems, cold and hot source managers increasingly need a cold and hot source platform to conduct comprehensive management of different connected cold and hot projects (i.e., cold and hot source systems) in order to achieve flexible control between different cold and hot projects.

[0004] However, the inventors discovered during the process of implementing the present invention that currently most of the controls are for a single cold and hot project. When the cold and hot source manager receives a control instruction, such as a peak-shaving instruction determined based on peak-shaving and valley-filling demand, the control instruction can often only be simply distributed among multiple cold and hot projects. It is difficult to achieve flexible collaborative control of different cold and hot projects so as to distribute the control instructions without affecting the needs of each user. Summary of the invention

[0005] The embodiment of the present invention provides a method and system for controlling a cold and hot source platform access project based on an adaptive algorithm, so as to solve the problem that it is currently difficult to achieve flexible collaborative control of different cold and hot projects.

[0006] In a first aspect, an embodiment of the present invention provides a method for controlling a cold and hot source platform access project based on an adaptive algorithm, comprising:

[0007] Obtain the total load control demand corresponding to the control instruction, and obtain the working mode, output power and insulation coefficient of the building where each cold and hot project is located connected to the cold and hot source platform;

[0008] Determine the basic load control value of each cooling and heating project according to the total load control demand, the working mode and the output power;

[0009] According to the thermal insulation coefficient, determining the control deviation coefficient of each cold and hot project;

[0010] The corresponding basic load control value is adjusted according to the control deviation coefficient to determine the load control target value of each cold and hot project connected to the cold and hot source platform.

[0011] In a possible implementation, determining the basic load regulation value of each cooling and heating project according to the total load regulation demand, the working mode and the output power includes:

[0012] Determine the operating status of each cooling and heating project according to the working mode and the output power;

[0013] The basic load control value of each cooling and heating project is determined according to the total load control demand and the operating status.

[0014] In a possible implementation, determining the operating state of each cooling and heating item according to the working mode and the output power includes:

[0015] According to the working mode, the rated output power of each cooling and heating project is determined;

[0016] The ratio of the output power of each cooling and heating project to the corresponding rated output power is calculated, and the operating state of each cooling and heating project is determined according to the ratio.

[0017] In a possible implementation, the operating state includes a non-full load state and a full load state;

[0018] Determining the basic load control value of each cooling and heating project according to the total load control demand and the operating status includes:

[0019] Obtaining a maximum value of load regulation of a primary cooling and heating project, and obtaining a minimum value of load regulation of a secondary cooling and heating project, wherein the primary cooling and heating project is a cooling and heating project whose operating state is the non-full load state, and the secondary cooling and heating project is a cooling and heating project whose operating state is the full load state;

[0020] The basic load control value of each cooling and heating project is determined according to each of the load control maximum values, each of the load control minimum values ​​and the total load control demand.

[0021] In a possible implementation, determining the basic load regulation value of each cooling and heating project according to each of the load regulation maximum values, each of the load regulation minimum values, and the total load regulation demand includes:

[0022] Determine whether all the first-level cooling and heating projects meet the total load regulation demand according to the maximum values ​​of each load regulation;

[0023] If all the first-level cooling and heating projects meet the total load control demand, the basic load control value of each of the first-level cooling and heating projects is determined according to each of the load control maximum values ​​and the total load control demand, and the basic load control value of each of the second-level cooling and heating projects is determined to be zero;

[0024] If all the first-level cooling and heating projects do not meet the total load regulation demand, the difference between the sum of the maximum values ​​of each load regulation and the total load regulation demand is calculated as the load regulation difference;

[0025] The basic load control value of each cooling and heating project is determined according to the load control difference and each load control minimum value.

[0026] In a possible implementation, determining the basic load regulation value of each cooling and heating project according to the load regulation difference and each of the load regulation minimum values ​​includes:

[0027] Determine whether all the secondary cooling and heating items meet the load regulation difference according to each of the load regulation minimum values;

[0028] If all the secondary cooling and heating projects satisfy the load control difference, the basic load control value of each of the primary cooling and heating projects is determined as the corresponding load control maximum value, and the basic load control value of each of the secondary cooling and heating projects is determined according to each of the load control minimum values ​​and the load control difference;

[0029] If all the secondary cold and hot projects do not meet the load control difference, the load control level of each cold and hot project connected to the cold and hot source platform is obtained, and the difference between the sum of the minimum values ​​of each load control and the load control difference is calculated as the load control difference;

[0030] Counting the number of hot and cold projects whose load control level is the target level, and calculating the ratio of the load control difference to the number as the load control increment;

[0031] The basic load control value of the cold and hot projects whose load control level is the target level is determined as the sum of the corresponding maximum load control value or minimum load control value and the load control increment, and the basic load control values ​​of other cold and hot projects are determined as the corresponding maximum load control value or minimum load control value.

[0032] In a possible implementation, the thermal insulation coefficient of the building where each cold and hot project connected to the cold and hot source platform is located is obtained, including:

[0033] Obtain the historical water supply temperature and historical return water temperature of the building where each cold and hot project connected to the cold and hot source platform is located;

[0034] The thermal insulation coefficient of the building where each cold and hot project connected to the cold and hot source platform is located is calculated according to the historical water supply temperature and the historical return water temperature.

[0035] In a possible implementation, determining the control deviation coefficient of each cold and hot item according to the thermal insulation coefficient includes:

[0036] according to Determine the control deviation coefficient for each hot and cold item;

[0037] Among them, C i is the control deviation coefficient of the i-th cold and hot project, i = 1, 2, ..., n, n is the total number of cold and hot projects connected to the cold and hot source platform, P i is the insulation coefficient of the ith cold and hot project.

[0038] In a possible implementation, the corresponding basic load control value is adjusted according to the control deviation coefficient to determine the load control target value of each cold and hot project connected to the cold and hot source platform, including:

[0039] According to L i =C i L bi , determine the load control target value of each cold and hot project connected to the cold and hot source platform;

[0040] Among them, L i is the load control target value of the i-th cold and hot project, i = 1, 2, ..., n, n is the total number of cold and hot projects connected to the cold and hot source platform, C i is the control deviation coefficient of the ith hot and cold project, L bi is the basic load control value of the i-th cooling and heating project.

[0041] In a second aspect, an embodiment of the present invention provides a control system for a cold and hot source platform access project based on an adaptive algorithm, comprising: a cold and hot source platform, an edge computer, and a cold and hot source device;

[0042] The cold and hot source platform is connected to the cold and hot source equipment through the edge computer, and is used to:

[0043] Obtain the total load control demand corresponding to the control instruction, and obtain the working mode, output power and insulation coefficient of the building where each cold and hot project is located connected to the cold and hot source platform;

[0044] Determine the basic load control value of each cooling and heating project according to the total load control demand, the working mode and the output power;

[0045] According to the thermal insulation coefficient, determining the control deviation coefficient of each cold and hot project;

[0046] The corresponding basic load control value is adjusted according to the control deviation coefficient to determine the load control target value of each cold and hot project connected to the cold and hot source platform.

[0047] The embodiment of the present invention provides a control method and system for a project connected to a cold and hot source platform based on an adaptive algorithm, which obtains the total load control demand corresponding to the control instruction, and obtains the working mode, output power and insulation coefficient of the building where each cold and hot project is located for each cold and hot project connected to the cold and hot source platform; firstly, the basic load control value of each cold and hot project is determined according to the total load control demand, working mode and output power; then, the control deviation coefficient of each cold and hot project is determined according to the insulation coefficient; thus, the corresponding basic load control value is adjusted according to the control deviation coefficient, and the load control target value of each cold and hot project connected to the cold and hot source platform is determined. Then, based on the insulation conditions of the buildings where each cold and hot project connected to the cold and hot source platform is located, each cold and hot project is flexibly and collaboratively controlled, so as to reduce the impact on the user needs of each cold and hot project while meeting the total load control demand required by the cold and hot source platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1 This is an application scenario diagram of a cold and heat source platform access project control method based on an adaptive algorithm provided in an embodiment of the present invention;

[0050] Figure 2 It is a flow chart of the implementation of the cold and heat source platform access project control method based on the adaptive algorithm provided in the embodiment of the present invention;

[0051] Figure 3 It is a structural schematic diagram of a cold and heat source platform access project control device based on an adaptive algorithm provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0053] In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0054] Figure 1This is an application scenario diagram of the cold and heat source platform access project control method based on the adaptive algorithm provided in the embodiment of the present invention. Figure 1 As shown, the cold and heat source platform access project control method based on adaptive algorithm provided in an embodiment of the present invention can be applied to a cold and heat source platform access project control system based on adaptive algorithm. The system may include: a cold and heat source platform, multiple edge computers and corresponding cold and heat source equipment. The method can be specifically applied to the cold and heat source platform of the system.

[0055] Among them, the cold and hot source platforms can be connected to the corresponding cold and hot source devices through various edge computers.

[0056] Exemplarily, the cold and hot source equipment may be cold and hot source equipment for various cold and hot projects.

[0057] The cold and hot source platform can obtain the working mode and output power of the corresponding cold and hot source equipment (i.e., cold and hot projects) through the edge computer, and obtain the insulation coefficient of the building where each cold and hot project is located through the edge computer. When it is necessary to regulate each cold and hot project, the total load regulation demand corresponding to the regulation instruction is obtained based on manual input or the cloud, and then used for:

[0058] Determine the basic load control value of each cooling and heating project based on the total load control requirements, working mode and output power.

[0059] According to the insulation coefficient, determine the control deviation coefficient of each cold and hot project.

[0060] The corresponding basic load control value is adjusted according to the control deviation coefficient to determine the load control target value of each cold and hot project connected to the cold and hot source platform.

[0061] Therefore, the basic load control value of a cold and hot project is first determined according to the total load control demand, working mode and output power, and then the control deviation coefficient of a cold and hot project is determined according to the insulation coefficient. Then, the corresponding basic load control value is adjusted according to the control deviation coefficient to determine the load control target value of each cold and hot project, thereby realizing flexible and coordinated control of each cold and hot project connected to the cold and hot source platform, and reducing the impact on the user needs of each cold and hot project while meeting the total load control demand.

[0062] Figure 2 The following is a flowchart of a method for controlling a project access to a cold and hot source platform based on an adaptive algorithm provided in an embodiment of the present invention. The method is applied to the cold and hot source platform, and is described in detail as follows:

[0063] Step 201, obtain the total load control demand corresponding to the control instruction, and obtain the working mode, output power and insulation coefficient of the building where each cold and hot project is located connected to the cold and hot source platform.

[0064] In this embodiment, the total load control demand corresponding to the control instruction can be the total load control demand corresponding to the control instruction in response to the peak shaving and valley filling demand, or it can be the total load control demand corresponding to the control instruction in response to the environmental protection demand, etc. This embodiment does not limit this.

[0065] While obtaining the total load control demand corresponding to the control instruction, in order to achieve flexible collaborative control of various cold and hot projects connected to the cold and hot source platform, the working mode, output power and insulation coefficient of the building where each cold and hot project is located are also obtained.

[0066] Among them, obtaining the insulation coefficient of the building where each cold and hot project is located can measure the speed of temperature change in the building space where the cold and hot project is located after the load regulation of each cold and hot project according to the total load regulation demand. If the insulation coefficient of the building where a certain cold and hot project is located is low, it means that the insulation performance of the building where the cold and hot project is located is poor. After the cold and hot source platform receives the total load regulation demand, it should minimize the regulation of the cold and hot project to avoid the cold and hot project affecting user demand due to regulation. If the insulation coefficient of the building where a certain cold and hot project is located is high, it means that the insulation performance of the building where the cold and hot project is located is good, and the regulation amount of the cold and hot project can be relatively increased.

[0067] Step 202, determining the basic load control value of each cooling and heating project according to the total load control demand, working mode and output power.

[0068] In this embodiment, the operating status of each cold and hot project can be determined according to the working mode and output power of each cold and hot project, so that the total load control demand can be allocated to each cold and hot project based on the operating status of each cold and hot project, which serves as the basic load control value of each cold and hot project to achieve basic coordinated control of each cold and hot project.

[0069] Step 203, determining the control deviation coefficient of each cold and hot item according to the thermal insulation coefficient.

[0070] Step 204: adjust the corresponding basic load control value according to the control deviation coefficient to determine the load control target value of each cold and hot project connected to the cold and hot source platform.

[0071] In this embodiment, on the basis of determining the basic load control value of each cold and hot project based on the above steps, combined with the insulation coefficient of the building where each cold and hot project is located, a control deviation coefficient can be determined for each cold and hot project, so as to correct and adjust the corresponding basic load control value based on the control deviation coefficient, so as to further consider the impact of the control instructions on the user needs of each cold and hot project, reduce the possibility of mismatching the user needs of cold and hot projects due to the control instructions, and ensure user experience.

[0072] The embodiment of the present invention obtains the total load control demand corresponding to the control instruction, and obtains the working mode, output power and insulation coefficient of the building where each cold and hot project connected to the cold and hot source platform is located; first, the basic load control value of each cold and hot project is determined according to the total load control demand, working mode and output power; then, the control deviation coefficient of each cold and hot project is determined according to the insulation coefficient; thus, the corresponding basic load control value is adjusted according to the control deviation coefficient to determine the load control target value of each cold and hot project connected to the cold and hot source platform. Then, based on the insulation conditions of the buildings where each cold and hot project connected to the cold and hot source platform is located, each cold and hot project is flexibly and collaboratively controlled, so as to reduce the impact on the user needs of each cold and hot project while meeting the total load control demand required by the cold and hot source platform.

[0073] In one embodiment, determining the basic load regulation value of each cooling and heating project according to the total load regulation demand, the working mode and the output power may include:

[0074] Determine the operating status of each hot and cold project based on the working mode and output power.

[0075] Determine the basic load control value of each cooling and heating project based on the total load control requirements and operating status.

[0076] Exemplarily, determining the operating status of each cooling and heating project according to the working mode and output power may include:

[0077] Determine the rated output power of each heating and cooling item according to the working mode.

[0078] Calculate the ratio of the output power of each cooling and heating project to the corresponding rated output power, and determine the operating status of each cooling and heating project based on the ratio.

[0079] Exemplarily, for a cold and hot source system such as a central air conditioning system or an air source heat pump system, it may work in a cooling mode, a heating mode, an air supply mode, an energy-saving mode, etc. Different working modes correspond to different rated output powers. When the cold and hot items are in different working modes, they may all operate at the rated output power or at non-rated output power. Therefore, the operating state of the cold and hot items can be determined based on the ratio of the output power (or the current actual output power) of each cold and hot item to the rated output power in the corresponding working mode. For example, if the ratio of the output power of the cold and hot item to the rated output power in the corresponding working mode is 1, it can be determined that the cold and hot item is in a full load state. If the ratio of the output power of the cold and hot item to the rated output power in the corresponding working mode is less than 1, it can be determined that the cold and hot item is in a non-full load state.

[0080] Exemplarily, when the ratio of the output power of the cooling and heating projects to the rated output power in the corresponding working mode is less than 1, the non-full load state of the cooling and heating projects can be further divided based on the number of units in working state in the cooling and heating projects and the multi-level ratio threshold.

[0081] For example, if the number of units in operation in the cooling and heating project is greater than or equal to the set number threshold, and the ratio of the output power of the cooling and heating project to the rated output power in the corresponding working mode is less than 1, it can be determined that the cooling and heating project is in the first level non-full load state. This indicates that although the cooling and heating project is not operating at full load, the load is relatively high. When determining its load control maximum value later, a relatively small load control maximum value can be determined.

[0082] If the number of units in operation in the cooling and heating project is less than the set number threshold, and the ratio of the output power of the cooling and heating project to the rated output power in the corresponding working mode is less than the first-level ratio threshold, it can be determined that the cooling and heating project is in the second-level non-full load state. This indicates that the load of the cooling and heating project is lower than the first-level non-full load state. When determining its load control maximum value later, a relatively larger load control maximum value can be determined.

[0083] If the number of units in operation in the cold and hot project is less than the set number threshold, and the ratio of the output power of the cold and hot project to the rated output power in the corresponding working mode is less than the second-level ratio threshold (the second-level ratio threshold is less than the first-level ratio threshold), it can be determined that the cold and hot project is in the third-level non-full load state. This indicates that the load of the cold and hot project is lower than that of the first-level non-full load state, and when determining its load control maximum value later, a relatively larger load control maximum value can be determined.

[0084] The process of further dividing the non-full load status of the cold and hot projects in other cases can be deduced in the same way. This embodiment does not limit the specific division of the non-full load status into several levels and the corresponding set quantity thresholds, first-level ratio thresholds, and second-level ratio thresholds, which can be determined according to actual needs.

[0085] Exemplarily, the operating state may include a non-full load state and a full load state.

[0086] Accordingly, according to the total load control demand and operating status, the basic load control value of each cooling and heating project is determined, which may include:

[0087] Get the maximum load control value of the first-level cooling and heating project, and get the minimum load control value of the second-level cooling and heating project. The first-level cooling and heating project is a cooling and heating project that is not in full load operation, and the second-level cooling and heating project is a cooling and heating project that is in full load operation.

[0088] Determine the basic load control value for each cooling and heating project based on the maximum value of each load control, the minimum value of each load control and the total load control demand.

[0089] Exemplarily, determining the basic load regulation value of each cooling and heating project according to each load regulation maximum value, each load regulation minimum value and the total load regulation demand may include:

[0090] According to the maximum value of each load control, determine whether all the primary cooling and heating projects meet the total load control requirements.

[0091] If all first-level cooling and heating projects meet the total load control demand, the basic load control value of each first-level cooling and heating project is determined according to the maximum value of each load control and the total load control demand, and the basic load control value of each second-level cooling and heating project is determined to be zero.

[0092] If all the first-level cooling and heating projects do not meet the total load control demand, the difference between the sum of the maximum values ​​of each load control and the total load control demand is calculated as the load control difference.

[0093] According to the load control difference and each load control minimum value, the basic load control value of each cooling and heating project is determined.

[0094] In this embodiment, in order to minimize the impact of control instructions on user needs of each cold and hot project, the maximum load control value can be obtained for the cold and hot projects that are not in full load state, and the minimum load control value can be obtained for the cold and hot projects that are in full load state, so as to make full use of the cold and hot projects in non-full load state to meet the total load control demand. When all cold and hot projects in non-full load state are controlled according to their maximum load control value and still cannot meet the total load control demand, fine-tuning is performed according to the cold and hot projects in full load state.

[0095] Among them, when determining the basic load control value of each first-level cooling and heating project according to each load control maximum value and the total load control demand, the total load control demand can be allocated according to the load control level of each first-level cooling and heating project. For example, the total load control demand is first allocated to the first-level cooling and heating project with priority control, that is, the first-level cooling and heating project with priority control first determines the basic load control value according to its load control maximum value. When the total load control demand is not met, the basic load control value is then determined for the first-level cooling and heating project with the next level of control according to its load control maximum value, and so on.

[0096] Alternatively, the total load control demand can also be allocated according to the ratio of the maximum load control value of each first-level cooling and heating project to the total maximum load control value of all first-level cooling and heating projects, where the total maximum load control value of all first-level cooling and heating projects can be obtained by calculating the sum of the maximum load control values ​​of each first-level cooling and heating project.

[0097] Exemplarily, determining the basic load regulation value of each cooling and heating project according to the load regulation difference and each load regulation minimum value may include:

[0098] According to the minimum values ​​of each load control, determine whether all secondary cooling and heating projects meet the load control difference.

[0099] If all secondary cooling and heating projects meet the load control difference, the basic load control value of each primary cooling and heating project is determined as the corresponding maximum load control value, and the basic load control value of each secondary cooling and heating project is determined based on each load control minimum value and the load control difference.

[0100] If all secondary cold and hot projects do not meet the load control difference, the load control level of each cold and hot project connected to the cold and hot source platform is obtained, and the difference between the sum of the minimum values ​​of each load control and the load control difference is calculated as the load control difference.

[0101] Count the number of hot and cold projects whose load control level is the target level, and calculate the ratio of the load control difference to the number as the load control increment.

[0102] The basic load control value of the cold and hot projects with the target load control level is determined as the sum of the corresponding maximum load control value or minimum load control value and the load control increment; the basic load control value of other cold and hot projects is determined as the corresponding maximum load control value or minimum load control value.

[0103] In this embodiment, in the case where all the first-level cold and hot projects cannot meet the total load control demand, first determine whether all the second-level cold and hot projects meet the load control difference according to each load control minimum value. When all the second-level cold and hot projects meet the load control difference, the basic load control value of each first-level cold and hot project is determined as the corresponding load control maximum value, and the basic load control value of each second-level cold and hot project is determined according to each load control minimum value and the load control difference. Among them, the process of determining the basic load control value of each second-level cold and hot project according to each load control minimum value and the load control difference is similar to the process of determining the basic load control value of each first-level cold and hot project according to each load control maximum value and the total load control demand, and will not be repeated here.

[0104] In the case that all secondary cooling and heating projects cannot meet the load regulation difference, each primary cooling and heating project can be operated at its maximum load regulation value, and each secondary cooling and heating project can be operated at its minimum load regulation value. On this basis, the remaining load regulation difference is then allocated. For example, when allocating the remaining load regulation difference, it can be allocated in sequence according to the load regulation level of the primary cooling and heating project or the secondary cooling and heating project.

[0105] In one embodiment, obtaining the thermal insulation coefficient of the building where each cold and hot project connected to the cold and hot source platform is located may include:

[0106] Obtain the historical water supply temperature and historical return water temperature of the building where each hot and cold project connected to the hot and cold source platform is located.

[0107] Based on the historical water supply temperature and historical return water temperature, calculate the insulation coefficient of the building where each cold and hot project connected to the cold and hot source platform is located.

[0108] In this embodiment, the historical water supply temperature and historical return water temperature of the building where each cold and hot project is located are used to quantify the thermal insulation coefficient of the building where each cold and hot project is located. If the difference between the historical water supply temperature and the historical return water temperature of the building where a certain cold and hot project is located is small, it indicates that the thermal insulation coefficient of the building where the cold and hot project is located is high and the thermal insulation performance is good. If the difference between the historical water supply temperature and the historical return water temperature of the building where a certain cold and hot project is located is large, it indicates that the thermal insulation coefficient of the building where the cold and hot project is located is low and the thermal insulation performance is poor.

[0109] For example, it is also possible to distinguish the working modes of the cold and hot projects corresponding to the historical water supply temperature and historical return water temperature of the building where each cold and hot project is located, so as to determine an insulation coefficient for each cold and hot project for each working mode, so as to realize flexible coordinated control between different cold and hot projects more accurately in the future.

[0110] In one embodiment, determining the control deviation coefficient of each cold and hot item according to the thermal insulation coefficient may include:

[0111] according to Determine the control deviation coefficient for each hot and cold item.

[0112] Among them, C i is the control deviation coefficient of the i-th cold and hot project, i = 1, 2, ..., n, n is the total number of cold and hot projects connected to the cold and hot source platform, P i is the insulation coefficient of the ith cold and hot project.

[0113] In this embodiment, the regulation deviation of each cold and hot project is measured by the ratio of the insulation coefficient of each cold and hot project to the average insulation coefficient of all cold and hot projects connected to the cold and hot source platform to obtain the regulation deviation coefficient of each cold and hot project.

[0114] In one embodiment, adjusting the corresponding basic load control value according to the control deviation coefficient to determine the load control target value of each cold and hot project connected to the cold and hot source platform may include:

[0115] According to L i =C i L bi , determine the load control target value of each cold and hot project connected to the cold and hot source platform.

[0116] Among them, L i is the load control target value of the i-th cold and hot project, i = 1, 2, ..., n, n is the total number of cold and hot projects connected to the cold and hot source platform, C i is the control deviation coefficient of the ith hot and cold project, L bi is the basic load control value of the i-th cooling and heating project.

[0117] In this embodiment, after obtaining the control deviation coefficient of each cold and hot project, the control deviation coefficient of each cold and hot project is multiplied by its corresponding basic load control value to obtain the load control target value of each cold and hot project, so as to achieve more accurate flexible collaborative control between different cold and hot projects based on the load control target value of each cold and hot project.

[0118] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0119] The following is an embodiment of the device of the present invention. For details not described in detail, reference may be made to the corresponding method embodiments described above.

[0120] Figure 3The schematic diagram of the structure of the cold and heat source platform access project control device based on the adaptive algorithm provided by the embodiment of the present invention is shown. For the convenience of description, only the part related to the embodiment of the present invention is shown, which is described in detail as follows:

[0121] like Figure 3 As shown, the cold and heat source platform access project control device based on the adaptive algorithm includes: an acquisition module 31, a first processing module 32, a second processing module 33 and a third processing module 34.

[0122] The acquisition module 31 is used to obtain the total load control demand corresponding to the control instruction, and obtain the working mode, output power and insulation coefficient of the building where each cold and hot project is located for each cold and hot project connected to the cold and hot source platform.

[0123] The first processing module 32 is used to determine the basic load control value of each cooling and heating project according to the total load control demand, working mode and output power.

[0124] The second processing module 33 is used to determine the control deviation coefficient of each cold and hot item according to the thermal insulation coefficient.

[0125] The third processing module 34 is used to adjust the corresponding basic load control value according to the control deviation coefficient to determine the load control target value of each cold and hot project connected to the cold and hot source platform.

[0126] The embodiment of the present invention obtains the total load control demand corresponding to the control instruction, and obtains the working mode, output power and insulation coefficient of the building where each cold and hot project connected to the cold and hot source platform is located; first, the basic load control value of each cold and hot project is determined according to the total load control demand, working mode and output power; then, the control deviation coefficient of each cold and hot project is determined according to the insulation coefficient; thus, the corresponding basic load control value is adjusted according to the control deviation coefficient to determine the load control target value of each cold and hot project connected to the cold and hot source platform. Then, based on the insulation conditions of the buildings where each cold and hot project connected to the cold and hot source platform is located, each cold and hot project is flexibly and collaboratively controlled, so as to reduce the impact on the user needs of each cold and hot project while meeting the total load control demand required by the cold and hot source platform.

[0127] In a possible implementation, the first processing module 32 can be used to determine the operating status of each cooling and heating project according to the working mode and output power; and determine the basic load control value of each cooling and heating project according to the total load control demand and the operating status.

[0128] In one possible implementation, the first processing module 32 can be used to determine the rated output power of each cold and hot project according to the working mode; calculate the ratio of the output power of each cold and hot project to the corresponding rated output power, and determine the operating status of each cold and hot project according to the ratio.

[0129] In a possible implementation, the operating state includes a non-full load state and a full load state; the first processing module 32 can be used to obtain the maximum value of the load regulation of the primary cooling and heating project and obtain the minimum value of the load regulation of the secondary cooling and heating project, the primary cooling and heating project is a cooling and heating project in a non-full load state, and the secondary cooling and heating project is a cooling and heating project in a full load state;

[0130] Determine the basic load control value for each cooling and heating project based on the maximum value of each load control, the minimum value of each load control and the total load control demand.

[0131] In one possible implementation, the first processing module 32 can be used to determine whether all the first-level cooling and heating projects meet the total load control demand based on the maximum values ​​of each load control; if all the first-level cooling and heating projects meet the total load control demand, then the basic load control value of each first-level cooling and heating project is determined according to the maximum values ​​of each load control and the total load control demand, and the basic load control value of each second-level cooling and heating project is determined to be zero; if all the first-level cooling and heating projects do not meet the total load control demand, then the difference between the sum of the maximum values ​​of each load control and the total load control demand is calculated as the load control difference; based on the load control difference and each load control minimum value, the basic load control value of each cooling and heating project is determined.

[0132] In a possible implementation, the first processing module 32 can be used to determine whether all secondary cold and hot projects meet the load control difference according to each load control minimum value; if all secondary cold and hot projects meet the load control difference, the basic load control value of each primary cold and hot project is determined as the corresponding load control maximum value, and the basic load control value of each secondary cold and hot project is determined according to each load control minimum value and the load control difference; if all secondary cold and hot projects do not meet the load control difference, the load control level of each cold and hot project connected to the cold and hot source platform is obtained, and the difference between the sum of each load control minimum value and the load control difference is calculated as the load control difference; the number of cold and hot projects with a load control level of the target level is counted, and the ratio of the load control difference to the number is calculated as the load control increment; the basic load control value of the cold and hot projects with a load control level of the target level is determined as the sum of the corresponding load control maximum value or load control minimum value and the load control increment, and the basic load control values ​​of other cold and hot projects are determined as the corresponding load control maximum value or load control minimum value.

[0133] In one possible implementation, the acquisition module 31 can be used to obtain the historical water supply temperature and historical return water temperature of the building where each cold and hot project connected to the cold and hot source platform is located; based on the historical water supply temperature and historical return water temperature, calculate the insulation coefficient of the building where each cold and hot project connected to the cold and hot source platform is located.

[0134] In a possible implementation, the second processing module 33 may be configured to: Determine the control deviation coefficient for each hot and cold item.

[0135] Among them, C i is the control deviation coefficient of the i-th cold and hot project, i = 1, 2, ..., n, n is the total number of cold and hot projects connected to the cold and hot source platform, P i is the insulation coefficient of the ith cold and hot project.

[0136] In a possible implementation, the third processing module 34 may be configured to process the i =C i L bi , determine the load control target value of each cold and hot project connected to the cold and hot source platform.

[0137] Among them, L i is the load control target value of the i-th cold and hot project, i = 1, 2, ..., n, n is the total number of cold and hot projects connected to the cold and hot source platform, C i is the control deviation coefficient of the ith hot and cold project, L bi is the basic load control value of the i-th cooling and heating project.

[0138] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0139] Those of ordinary skill in the art will appreciate that the templates, units, and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0140] If the module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of the above-mentioned embodiments of the cold and heat source platform access project control method based on the adaptive algorithm. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal and software distribution medium.

[0141] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for controlling cold and heat source platform access projects based on an adaptive algorithm, characterized in that: include: Obtain the total load control demand corresponding to the control instruction, and obtain the working mode, output power and insulation coefficient of the building where each cold and hot project is located connected to the cold and hot source platform; Determine the basic load control value of each cooling and heating project according to the total load control demand, the working mode and the output power; According to the thermal insulation coefficient, determining the control deviation coefficient of each cold and hot project; The corresponding basic load control value is adjusted according to the control deviation coefficient to determine the load control target value of each cold and hot project connected to the cold and hot source platform.

2. The method for controlling cold and heat source platform access projects based on an adaptive algorithm according to claim 1 is characterized in that: Determining the basic load control value of each cooling and heating project according to the total load control demand, the working mode and the output power includes: Determine the operating status of each cooling and heating project according to the working mode and the output power; The basic load control value of each cooling and heating project is determined according to the total load control demand and the operating status.

3. The method for controlling cold and heat source platform access projects based on an adaptive algorithm according to claim 2 is characterized in that: According to the working mode and the output power, the operating state of each cooling and heating project is determined, including: According to the working mode, the rated output power of each cooling and heating project is determined; The ratio of the output power of each cooling and heating project to the corresponding rated output power is calculated, and the operating state of each cooling and heating project is determined according to the ratio.

4. The method for controlling cold and heat source platform access projects based on an adaptive algorithm according to claim 2 is characterized in that: The operating state includes a non-full load state and a full load state; Determining the basic load control value of each cooling and heating project according to the total load control demand and the operating status includes: Obtaining a maximum value of load regulation of a primary cooling and heating project, and obtaining a minimum value of load regulation of a secondary cooling and heating project, wherein the primary cooling and heating project is a cooling and heating project whose operating state is the non-full load state, and the secondary cooling and heating project is a cooling and heating project whose operating state is the full load state; The basic load control value of each cooling and heating project is determined according to each of the load control maximum values, each of the load control minimum values ​​and the total load control demand.

5. The method for controlling cold and heat source platform access projects based on adaptive algorithm according to claim 4 is characterized in that: Determining the basic load control value of each cooling and heating project according to each of the load control maximum values, each of the load control minimum values ​​and the total load control demand includes: Determine whether all the first-level cooling and heating projects meet the total load regulation demand according to the maximum values ​​of each load regulation; If all the first-level cooling and heating projects meet the total load control demand, the basic load control value of each of the first-level cooling and heating projects is determined according to each of the load control maximum values ​​and the total load control demand, and the basic load control value of each of the second-level cooling and heating projects is determined to be zero; If all the first-level cooling and heating projects do not meet the total load regulation demand, the difference between the sum of the maximum values ​​of each load regulation and the total load regulation demand is calculated as the load regulation difference; The basic load control value of each cooling and heating project is determined according to the load control difference and each load control minimum value.

6. The method for controlling cold and heat source platform access projects based on an adaptive algorithm according to claim 5 is characterized in that: Determining the basic load regulation value of each cooling and heating project according to the load regulation difference and each of the load regulation minimum values ​​includes: Determine whether all the secondary cooling and heating items meet the load regulation difference according to each of the load regulation minimum values; If all the secondary cooling and heating projects satisfy the load control difference, the basic load control value of each of the primary cooling and heating projects is determined as the corresponding load control maximum value, and the basic load control value of each of the secondary cooling and heating projects is determined according to each of the load control minimum values ​​and the load control difference; If all the secondary cold and hot projects do not meet the load control difference, the load control level of each cold and hot project connected to the cold and hot source platform is obtained, and the difference between the sum of the minimum values ​​of each load control and the load control difference is calculated as the load control difference; Counting the number of hot and cold projects whose load control level is the target level, and calculating the ratio of the load control difference to the number as the load control increment; The basic load control value of the cold and hot projects whose load control level is the target level is determined as the sum of the corresponding maximum load control value or minimum load control value and the load control increment, and the basic load control values ​​of other cold and hot projects are determined as the corresponding maximum load control value or minimum load control value.

7. The method for controlling cold and heat source platform access projects based on adaptive algorithm according to claim 1 is characterized in that: Get the insulation coefficient of the building where each cold and hot project connected to the cold and hot source platform is located, including: Obtain the historical water supply temperature and historical return water temperature of the building where each cold and hot project connected to the cold and hot source platform is located; The thermal insulation coefficient of the building where each cold and hot project connected to the cold and hot source platform is located is calculated according to the historical water supply temperature and the historical return water temperature.

8. The method for controlling cold and heat source platform access projects based on adaptive algorithm according to claim 1 is characterized in that: According to the insulation coefficient, the control deviation coefficient of each cold and hot project is determined, including: according to Determine the control deviation coefficient for each hot and cold item; Among them, C i is the control deviation coefficient of the i-th cold and hot project, i = 1, 2, ..., n, n is the total number of cold and hot projects connected to the cold and hot source platform, P i is the insulation coefficient of the ith cold and hot project.

9. The method for controlling cold and heat source platform access projects based on adaptive algorithm according to claim 1, characterized in that: The corresponding basic load control value is adjusted according to the control deviation coefficient to determine the load control target value of each cold and hot project connected to the cold and hot source platform, including: According to L i =C i L bi , determine the load control target value of each cold and hot project connected to the cold and hot source platform; Among them, L i is the load control target value of the i-th cold and hot project, i = 1, 2, ..., n, n is the total number of cold and hot projects connected to the cold and hot source platform, C i is the control deviation coefficient of the ith hot and cold project, L bi is the basic load control value of the i-th cooling and heating project.

10. A control system for accessing a cold and hot source platform project based on an adaptive algorithm, characterized in that: include: Cold and hot source platforms, edge computers, and cold and hot source equipment; The cold and hot source platform is connected to the cold and hot source equipment through the edge computer, and is used to: Obtain the total load control demand corresponding to the control instruction, and obtain the working mode, output power and insulation coefficient of the building where each cold and hot project is located connected to the cold and hot source platform; Determine the basic load control value of each cooling and heating project according to the total load control demand, the working mode and the output power; According to the thermal insulation coefficient, determining the control deviation coefficient of each cold and hot project; The corresponding basic load control value is adjusted according to the control deviation coefficient to determine the load control target value of each cold and hot project connected to the cold and hot source platform.

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