Heat pump energy-saving management method and system of heating station system
By predicting the heating demand in the heating area and configuring the operating mode of the heat pump unit, the problem of imbalance in the heating supply and demand in the prior art is solved, and load balancing and high-efficiency use of the heating station system is achieved.
Patent Information
- Application Number
- CN202411740298.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-29
- Publication Date
- 2025-02-25
- Estimated Expiration
- 2044-11-29
AI Technical Summary
In the existing heating station system, it is difficult to effectively coordinate the load and energy efficiency management of each area in simple parallel networks, resulting in an imbalance in heating supply and demand, and it is difficult to achieve high efficiency.
By obtaining the target temperature, humidity and occupancy information of each heating area, the pre-constructed heating demand prediction model is used to predict the heating demand, and the load balancing adjustment parameters are configured based on historical load data to determine the operating mode of the heat pump unit, including parallel, mixed and series modes, to achieve load balancing and efficient operation.
The load balancing and efficient operation of the heating station system is achieved, which avoids the imbalance between heating supply and demand in various regions, improves overall energy efficiency and reduces energy consumption.
Smart Images

Figure CN119508880A_ABST
Abstract
Description
Technical Field
[0001] The embodiments of the present application relate to the technical field of heating systems, and in particular to a heat pump energy-saving management method and system for a heating station system. Background Art
[0002] At present, in the heating station system, the inlets and outlets of multiple heat pump units are usually connected to the water supply and return pipes of the system to form a parallel heating network. Each heat pump unit operates independently and can be set up in different areas according to actual heating needs to achieve independent heating for different areas.
[0003] However, simply using a parallel network to independently heat each area makes it difficult to coordinate the load and energy efficiency management of each area. For areas with large heating demand, insufficient heating is likely to occur. For areas with small heating demand, there may be an oversupply of heat, making it difficult to achieve a better energy efficiency management effect. Summary of the invention
[0004] The embodiments of the present application provide a heat pump energy-saving management method and system for a heating station system, which can configure the operating mode of the heat pump unit in combination with load balancing adjustment to ensure that the heat pump unit maintains load balance and efficient operation during operation, avoid imbalances in heating supply and demand in various regions, and achieve flexible scheduling of the heating station system, thereby improving overall energy efficiency and reducing energy consumption.
[0005] In a first aspect, an embodiment of the present application provides a heat pump energy-saving management method for a heating station system, comprising:
[0006] Obtain target air temperature, target humidity and occupancy rate information of each heating area in a target period, input the target air temperature, target humidity and occupancy rate information into a pre-constructed heat demand prediction model, and predict and output the heat demand of each heating area in the target period based on the heat demand prediction model; the heat demand prediction model constructs training samples based on historical air temperature, historical humidity, historical occupancy rate and corresponding historical heating amount in advance, and trains the heat demand prediction model based on the training samples;
[0007] Determine a first rated heating amount of the heat pump units corresponding to each heating area during the target period, configure a load balancing adjustment parameter of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area, and generate a second rated heating amount of the heat pump units corresponding to each heating area during the target period based on the load balancing adjustment parameter and the first rated heating amount;
[0008] According to the second rated heating amount of each heat pump unit and the heating demand of each corresponding heating area, each heat pump unit is configured to be in parallel operation mode or hybrid operation mode, so as to control each heat pump unit to operate in the target time period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment in the heating area to which it belongs, and to operate in parallel with other heat pump units, and the hybrid operation mode is used to control the corresponding heat pump unit to operate in parallel operation mode preferentially, and when the heating amount of the corresponding heat pump unit reaches the heating demand of the heating area to which it belongs, the heating output end of the corresponding heat pump unit is controlled to be connected to the heating input end of the designated heat pump unit, and the operation is switched to series mode, and the heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heating amount of the designated heat pump unit.
[0009] Furthermore, configuring the load balancing adjustment parameters of each heat pump unit according to the total amount of historical heating load of the heat pump unit corresponding to each heating area includes:
[0010] Calculate the average heating load based on the total historical heating load of the heat pump units corresponding to each heating area;
[0011] A load deviation is determined according to the average heating load and the total historical heating load of the corresponding heat pump unit, and a load balancing adjustment parameter of each heat pump unit is calculated according to the load deviation.
[0012] Further, generating a second rated heating amount of the heat pump unit corresponding to each heating area in the target time period based on the load balancing adjustment parameter and the first rated heating amount includes:
[0013] determining an initial rated heating amount based on a product of a load balancing adjustment parameter and the first rated heating amount;
[0014] When the difference between the initial rated heating amount and the first rated heating amount is less than a set threshold, the initial rated heating amount is used as the second rated heating amount of the corresponding heat pump unit in the target time period;
[0015] When the difference between the initial rated heating amount and the first rated heating amount exceeds a set threshold, a second rated heating amount of the corresponding heat pump unit in the target time period is calculated based on the first rated heating amount and the set threshold.
[0016] Further, configuring each heat pump unit to a parallel operation mode or a hybrid operation mode according to the second rated heating amount of each heat pump unit and the heating demand of each corresponding heating area includes:
[0017] When it is determined from each heat pump unit that the second rated heating capacity of the first unit is higher than the heating demand of the corresponding heating area by a set heat difference, and the second rated heating capacity of the second unit is lower than the heating demand of the corresponding heating area by a set heat difference, the first unit is configured as a series-parallel operation mode, and the second unit is configured as the designated heat pump unit of the first unit; otherwise, each heat pump unit is configured as a parallel operation mode.
[0018] Further, configuring the first unit to be in a series-parallel operation mode includes:
[0019] In the case where there are multiple first units, determining an actual heat difference between the second rated heating amount of the first unit and the heating demand of the corresponding heating area;
[0020] A target unit is selected from the plurality of first units according to the actual heat difference and configured as a series-parallel operation mode.
[0021] Further, configuring the first unit to be in a series-parallel operation mode includes:
[0022] In the case where there are multiple first units, determining distance information between each of the first units and the corresponding designated heat pump unit;
[0023] The first machine group closest to the first machine group is selected according to the distance information and configured as a series-parallel operation mode.
[0024] Further, configuring the second unit as the designated heat pump unit of the first unit includes:
[0025] In the case that there are multiple first units and multiple second units, the corresponding second unit is selected as the designated heat pump unit of the first unit according to a set association relationship, and the association relationship is configured according to the heating system pipeline setting information.
[0026] In a second aspect, an embodiment of the present application provides a heat pump energy-saving management system for a heating station system, including:
[0027] A prediction module is used to obtain target air temperature, target humidity and occupancy rate information of each heating area in a target period, input the target air temperature, target humidity and occupancy rate information into a pre-constructed heat demand prediction model, and predict and output the heat demand of each heating area in the target period based on the heat demand prediction model; the heat demand prediction model constructs training samples based on historical air temperature, historical humidity, historical occupancy rate and corresponding historical heating amount in advance, and trains the heat demand prediction model based on the training samples;
[0028] a configuration module, for determining a first rated heating amount of the heat pump units corresponding to each heating area during the target period, and configuring a load balancing adjustment parameter of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area, and generating a second rated heating amount of the heat pump units corresponding to each heating area during the target period based on the load balancing adjustment parameter and the first rated heating amount;
[0029] A management module is used to configure each heat pump unit to a parallel operation mode or a hybrid operation mode according to the second rated heating amount of each heat pump unit and the heating demand of each corresponding heating area, so as to control each heat pump unit to operate in the target time period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment in the heating area to which it belongs, and to operate in parallel with other heat pump units; the hybrid operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode preferentially, and when the heating amount of the corresponding heat pump unit reaches the heating demand of the heating area to which it belongs, the heating output end of the corresponding heat pump unit is controlled to be connected to the heating input end of the designated heat pump unit, and the operation is switched to the series mode, and the heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heating amount of the designated heat pump unit.
[0030] In a third aspect, an embodiment of the present application provides an electronic device, including:
[0031] memory and one or more processors;
[0032] The memory is used to store one or more programs;
[0033] When the one or more programs are executed by the one or more processors, the one or more processors implement the heat pump energy-saving management method for the heating station system as described in the first aspect.
[0034] In a fourth aspect, an embodiment of the present application provides a storage medium comprising computer executable instructions, which, when executed by a computer processor, are used to execute the heat pump energy-saving management method for a heating station system as described in the first aspect.
[0035] The embodiment of the present application obtains the target air temperature, target humidity and occupancy rate information of each heating area in a target time period, inputs the target air temperature, target humidity and occupancy rate information into a pre-constructed heating demand prediction model, and predicts and outputs the heating demand of each heating area in the target time period based on the heating demand prediction model; the heating demand prediction model pre-constructs training samples based on historical air temperature, historical humidity, historical occupancy rate and corresponding historical heating supply, and trains the heating demand prediction model based on the training samples; determines the first rated heating amount of the heat pump unit corresponding to each heating area in the target time period, configures the load balancing adjustment parameters of each heat pump unit according to the total historical heating load of the heat pump unit corresponding to each heating area, and generates the second rated heating amount of the heat pump unit corresponding to each heating area in the target time period based on the load balancing adjustment parameters and the first rated heating amount. Rated heating capacity; configuring each heat pump unit to a parallel operation mode or a hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of each corresponding heating area, so as to control each heat pump unit to operate in the target time period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment in the heating area to which it belongs, and to operate in parallel with other heat pump units, and the hybrid operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode preferentially, and when the heating capacity of the corresponding heat pump unit reaches the heating demand of the heating area to which it belongs, the heating output end of the corresponding heat pump unit is controlled to be connected to the heating input end of the designated heat pump unit, and the operation is switched to the series mode, and the heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heating capacity of the designated heat pump unit. By adopting the above-mentioned technical means, the load balancing adjustment parameters of each heat pump unit are configured according to the total historical heating load of the heat pump unit corresponding to each heating area, and the operation mode of the heat pump unit is configured in combination with the load balancing adjustment to ensure that the heat pump unit maintains load balance and efficient operation during operation, avoids the imbalance of heating supply and demand in each area, and realizes flexible scheduling of the heating station system, thereby improving overall energy efficiency and reducing energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS
[0036] Figure 1 This is a flow chart of a heat pump energy-saving management method for a heating station system provided in Embodiment 1 of the present application;
[0037] Figure 2 is a flow chart of load balancing adjustment parameter calculation in Embodiment 1 of the present application;
[0038] Figure 3 This is a calculation flow chart of the second rated heating amount in the first embodiment of the present application;
[0039] Figure 4Schematic diagram of switching between the parallel operation mode and the series operation mode in the first embodiment of the present application;
[0040] Figure 5 It is a flow chart of the configuration of the hybrid operation mode in the first embodiment of the present application;
[0041] Figure 6 This is another hybrid operation mode configuration flow chart in the first embodiment of the present application;
[0042] Figure 7 This is a structural schematic diagram of a heat pump energy-saving management system for a heating station system provided in Embodiment 2 of the present application;
[0043] Figure 8 It is a structural schematic diagram of an electronic device provided in Example 3 of the present application. DETAILED DESCRIPTION
[0044] In order to make the purpose, technical scheme and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for the convenience of description, only the part related to the present application but not all the contents are shown in the accompanying drawings. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow chart describes each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of each operation can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.
[0045] Embodiment 1:
[0046] Figure 1 A flow chart of a heat pump energy-saving management method for a heating station system provided in the first embodiment of the present application is given. The heat pump energy-saving management method for a heating station system provided in this embodiment can be executed by a heat pump energy-saving management device for the heating station system. The heat pump energy-saving management device for the heating station system can be implemented by software and / or hardware. The heat pump energy-saving management device for the heating station system can be composed of two or more physical entities, or can be composed of one physical entity. Generally speaking, the heat pump energy-saving management device for the heating station system can be a control device such as a controller, a server host, etc. of the heating station system.
[0047] The following description is made by taking the heat pump energy-saving management device of the heating station system as the main body of the heat pump energy-saving management method of the heating station system. Figure 1The heat pump energy-saving management method of the heating station system specifically includes:
[0048] S110. Obtain target temperature, target humidity and occupancy rate information for each heating area during a target period, input the target temperature, target humidity and occupancy rate information into a pre-constructed heat demand prediction model, and predict and output the heat demand for each heating area during the target period based on the heat demand prediction model; the heat demand prediction model pre-constructs training samples based on historical temperatures, historical humidity, historical occupancy rates and corresponding historical heating amounts, and trains the heat demand prediction model based on the training samples.
[0049] The present application aims to realize the flexible scheduling and efficient operation of the heating station system by configuring the operation mode of the heat pump unit in combination with load balancing regulation. Among them, in the energy-saving management of the heating station system, it is first necessary to accurately predict the heating demand of each heating area in the target time period. The prediction of heating demand relies on a pre-built heating demand prediction model, which can predict the heating required for each heating area in the target time period by inputting the target temperature, target humidity and occupancy rate information of the target time period.
[0050] In the process of building a heat demand prediction model, it is necessary to collect the temperature, humidity, occupancy rate and corresponding heating data of each heating area in the past period of time. These data constitute the training samples required for training the heat demand prediction model. Considering that the collected data may contain noise or missing values, the data is first preprocessed, including data cleaning, missing value filling, outlier processing, etc., to ensure the accuracy and consistency of the data. Then the historical temperature, humidity, and occupancy rate are used as model inputs for model training. It can be understood that temperature, humidity, occupancy rate, etc. are features with strong correlation with the target heating supply, so these features need to be used as model inputs. Since it involves the interaction of multiple features, this application selects an algorithm that can handle nonlinear relationships for model prediction, such as random forest or support vector regression. The model is trained using the preprocessed training samples to obtain the predicted heating supply corresponding to the model input, and the loss function is calculated by the difference between the predicted heating supply and the actual historical heating supply, and then the model parameters are adjusted, and then the prediction error is minimized by adjusting the model parameters. During the training process, the performance of the model can be evaluated by cross-validation and other techniques, and appropriate model parameters can be selected.
[0051] After the model is implemented, before the target period, the target temperature, target humidity and occupancy rate information of each heating area is obtained through weather forecasts, occupancy rate statistics, etc. The obtained target temperature, target humidity and occupancy rate information is input into the trained heating demand prediction model, and the model calculates the heating demand of each heating area in the target period based on this input information.
[0052] Through the above process, the heating station system can accurately predict the heating demand of each heating area, providing strong support for subsequent energy-saving management and heat pump unit configuration.
[0053] In actual applications, for heating scenarios of heating station systems such as hotels, conferences, large-scale events, etc. may increase additional heating demand. Therefore, after predicting the heating demand of each heating area in the target period, it is also possible to configure the corresponding additional heating demand based on the additional heating demand information of each area, such as conference information, event information, etc., and add this additional heating demand to the predicted heating demand to obtain the final heating demand, so as to improve the calculation accuracy of the heating demand and thereby improve the reliability of the overall heating scheduling of the system.
[0054] S120, determining a first rated heating amount of the heat pump unit corresponding to each heating area in the target time period, and configuring a load balancing adjustment parameter of each heat pump unit according to the total historical heating load of the heat pump unit corresponding to each heating area, and generating a second rated heating amount of the heat pump unit corresponding to each heating area in the target time period based on the load balancing adjustment parameter and the first rated heating amount.
[0055] Among them, the first rated heating capacity can be the heating capacity provided by the heat pump unit under normal operating conditions. Specifically, the first rated heating capacity can be calculated in combination with the historical operating conditions of the heat pump unit. The first rated heating capacity represents the maximum heating capacity that the heat pump unit can achieve based on historical operating conditions. In fact, in order to ensure the load balance of each heat pump unit, the maximum heating capacity of some heat pump units with larger historical loads needs to be adaptively lowered, and the maximum heating capacity of some heat pump units with smaller historical loads can be adaptively increased by increasing the heat pump power.
[0056] Load balancing adjustment parameters are an important tool for adjusting the heating output of heat pump units. These parameters can be configured based on the total historical heating load of each heat pump unit to ensure that the units can evenly share the load when the heating demand changes, avoiding overloading of some units while other units are idle. The distribution of the load is determined by analyzing the total heating load of each heat pump unit over a period of time. When determining the distribution of the load, the performance differences between different heat pump units can be combined, including heating efficiency, response time, etc. Based on the load distribution determined above, the load difference between each heat pump unit can be determined, and then this difference can be used to set the corresponding load distribution in combination with the actual load balancing needs.
[0057] Based on the determined first rated heating capacity and load balancing adjustment parameters, the second rated heating capacity can be determined. The second rated heating capacity refers to the maximum heating capacity that each heat pump unit can actually provide during the target period after taking into account the load balancing adjustment parameters.
[0058] Specifically, refer to Figure 2 , according to the total historical heating load of the heat pump units corresponding to each heating area, configure the load balancing adjustment parameters of each heat pump unit, including:
[0059] S1201, calculating the average heating load according to the total historical heating load of the heat pump units corresponding to each heating area;
[0060] S1202: Determine a load deviation according to the average heating load and the total historical heating load of the corresponding heat pump unit, and calculate a load balancing adjustment parameter of each heat pump unit according to the load deviation.
[0061] Collect the historical total heating load data of the heat pump units corresponding to each heating area through channels such as the operation records of the heat pump units, monitoring systems or historical databases. Calculate the average heating load of the heat pump units corresponding to each heating area based on the sorted data. This is achieved by adding up the total historical heating loads of all heat pump units and then dividing by the number of heat pump units.
[0062] Then, the load deviation is determined based on the average heating load and the total historical heating load of the corresponding heat pump unit. The load deviation refers to the difference between the total historical heating load of the heat pump unit and the average heating load. The load deviation can be obtained by calculating the difference between the total historical heating load of each heat pump unit and the average heating load. By analyzing the load deviation, the load distribution of each heat pump unit can be understood. If the load deviation of some heat pump units is large, it means that these units may have been often overloaded or idle in the past, and load balancing adjustment is required to lower their rated heating capacity. Similarly, for heat pump units with smaller loads, the rated heating capacity can also be increased by increasing the output power.
[0063] According to the above load deviation, the load balancing adjustment parameters of each heat pump unit are calculated. These parameters may include adjustment coefficient, power adjustment amount, running time adjustment amount, etc., depending on the implementation method of the load balancing strategy. For example, for heat pump units with large load deviation, their adjustment coefficient can be appropriately reduced or the power adjustment amount can be increased to reduce their load; while for heat pump units with small load deviation, their adjustment coefficient can be appropriately increased or the power can be kept unchanged to keep their load stable.
[0064] Through the above steps, the load balancing adjustment parameters of each heat pump unit can be configured according to the total historical heating load of the heat pump unit corresponding to each heating area, so as to achieve load balancing operation of the heat pump unit. This helps to improve the overall energy efficiency of the system, extend the service life of the heat pump unit and reduce operating costs.
[0065] Further, refer to Figure 3 , based on the load balancing adjustment parameters and the first rated heating amount, a second rated heating amount of the heat pump unit corresponding to each heating area is generated in the target period, including:
[0066] S1203, determining an initial rated heating amount based on the product of the load balancing adjustment parameter and the first rated heating amount;
[0067] S1204. When the difference between the initial rated heating amount and the first rated heating amount is less than a set threshold, the initial rated heating amount is used as the second rated heating amount of the corresponding heat pump unit in the target time period; when the difference between the initial rated heating amount and the first rated heating amount exceeds the set threshold, the second rated heating amount of the corresponding heat pump unit in the target time period is calculated based on the first rated heating amount and the set threshold.
[0068] By obtaining the first rated heating capacity of the heat pump unit corresponding to each heating area and the previously calculated load balancing adjustment parameters. Multiply the first rated heating capacity of each heat pump unit by its corresponding load balancing adjustment parameter to obtain the initial rated heating capacity of the heat pump unit. This initial rated heating capacity reflects the expected heating capacity after considering load balancing. Then calculate the difference between the initial rated heating capacity of each heat pump unit and its first rated heating capacity. Prior to this, set a reasonable threshold to determine whether the difference between the initial rated heating capacity and the first rated heating capacity is within an acceptable range. This threshold can be set according to the specific requirements of the system, the performance characteristics of the heat pump unit, and the changes in demand in the heating area. If the difference is less than the set threshold, and the influence of the load balancing adjustment parameter is within an acceptable range. At this time, the initial rated heating capacity can be directly used as the second rated heating capacity of the corresponding heat pump unit in the target period.
[0069] If the difference exceeds the set threshold, it means that the initial rated heating capacity is significantly different from the first rated heating capacity. This may be because the load balancing adjustment parameter is set too large, resulting in the inability to make up for the difference in heating capacity by increasing the output power of the heat pump unit. At this time, it is necessary to calculate the adjusted second rated heating capacity based on the first rated heating capacity and the set threshold. The adjustment method can be to use the sum of the first rated heating capacity and the set threshold as the second rated heating capacity.
[0070] According to the above steps, the second rated heating capacity of the heat pump unit corresponding to each heating area in the target period is finally determined. These second rated heating capacities will be used as a reference for the operation of the heat pump unit in the target period to ensure the load balance and heating efficiency of the system. Through the above steps, the second rated heating capacity of the heat pump unit corresponding to each heating area in the target period can be generated based on the load balancing adjustment parameters and the first rated heating capacity, so that the heating station system can realize the precise configuration and load balancing adjustment of the heating capacity of the heat pump unit corresponding to each heating area in the target period, thereby improving the overall energy efficiency and reliability of the system.
[0071] S130. Configure each heat pump unit to a parallel operation mode or a hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of each corresponding heating area, so as to control each heat pump unit to operate in a target time period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment in the heating area to which it belongs, and to operate in parallel with other heat pump units; the hybrid operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode preferentially, and when the heating capacity of the corresponding heat pump unit reaches the heating demand of the heating area to which it belongs, control the heating output end of the corresponding heat pump unit to be connected to the heating input end of the designated heat pump unit, and switch to the series operation mode, and the heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heating capacity of the designated heat pump unit.
[0072] Based on the above second rated heating capacity and the corresponding heating demand of each heating area, the heat pump units are configured in parallel operation mode or hybrid operation mode, and they are controlled to operate within the target time period. Among them, when the second rated heating capacity of a heat pump unit can meet the heating demand of the heating area to which it belongs, the heat pump unit can be configured to operate in parallel operation mode. On this basis, the additional heating capacity that exceeds the heating demand of the heating area to which it belongs can also be provided to other heat pump units whose heating capacity is less than the heating demand, and the flexible scheduling of the heating station system can be realized through series operation.
[0073] Reference Figure 4, in the parallel operation mode, the heating output end of the heat pump unit a is directly connected to the heating equipment c1 of the heating area to which it belongs. Ensure that the heat pump unit a can operate in parallel with other heat pump units b to independently supply the heating demand of the corresponding heating area. When the second rated heating capacity of the heat pump unit a can meet the heating demand of the heating area to which it belongs, and there is another heat pump unit b whose heating demand is higher than its second rated heating capacity, the heat pump unit a can be configured as a hybrid operation mode. In the initial stage of the hybrid operation mode, the heat pump unit a operates in the parallel operation mode, that is, its heating output end is connected to the heating equipment c1 of the heating area to which it belongs. When the heating capacity of the heat pump unit a still remains after meeting the demand of the heating area to which it belongs, and the heating demand of the designated heat pump unit b is higher than its second rated heating capacity, the heating output end of the heat pump unit a is controlled to be connected to the heating input end of the designated heat pump unit b, and the operation is switched to the series mode. In series mode, the heat pump unit a acts as an auxiliary heat source to provide additional heating capacity for the designated heat pump unit b.
[0074] Through the above steps, the heat pump units can be flexibly configured in parallel operation mode or hybrid operation mode according to the second rated heating capacity of each heat pump unit and the corresponding heating demand of each heating area, and they can be controlled to operate efficiently within the target period. By accurately predicting the heating demand, optimizing the configuration and operation mode of the heat pump units, the flexible scheduling of the heating station system is realized. It helps to avoid the imbalance of heating supply and demand in each area, thereby improving the overall energy efficiency; through the configuration of load balancing adjustment parameters, the heat pump units can maintain load balance during operation, avoiding the situation where some units are overloaded while other units are idle. This helps to reduce energy consumption and improve energy utilization efficiency; the introduction of hybrid operation mode makes the heating station system more flexible. When the heating demand is large, the heating capacity can be supplemented by series operation; when the heating demand is small, the energy consumption can be reduced by parallel operation. In addition, by accurately predicting the heating demand and optimizing the configuration of the heat pump units, it can ensure that the heating demand of each heating area is met, thereby improving the comfort and satisfaction of users.
[0075] Optionally, each heat pump unit is configured to be in a parallel operation mode or a hybrid operation mode according to the second rated heating amount of each heat pump unit and the heating demand of each corresponding heating area, including:
[0076] When it is determined from among the heat pump units that the second rated heating capacity of the first unit is higher than the heating demand of the corresponding heating area by a set heat difference, and the second rated heating capacity of the second unit is lower than the heating demand of the corresponding heating area by a set heat difference, the first unit is configured as a series-parallel operation mode, and the second unit is configured as the designated heat pump unit of the first unit; otherwise, each heat pump unit is configured as a parallel operation mode.
[0077] Among them, the first unit is selected from all heat pump units, whose second rated heating capacity is higher than the heating demand of the corresponding heating area, and the excess reaches the set heat difference (recorded as ΔH1, and ΔH1>0). At the same time, the second unit is selected, whose second rated heating capacity is lower than the heating demand of the corresponding heating area, and the shortage also reaches the set heat difference (recorded as ΔH2, and ΔH2<0). If the above two conditions are met at the same time, the first unit is configured as a hybrid operation mode, and it is used as a heat source to provide additional heating for the second unit (at this time as a designated heat pump unit). If the above conditions are not met, that is, there is no such first unit and second unit, or although there is, one of the absolute values of ΔH1 and ΔH2 does not reach the set heat difference, all heat pump units are configured as parallel operation mode. Through the above steps, the heat pump units can be flexibly configured as parallel operation mode or hybrid operation mode according to the second rated heating capacity of each heat pump unit and the corresponding heating demand of each heating area, so as to optimize energy utilization and improve heating efficiency.
[0078] Optionally, refer to Figure 5 , configure the first unit to the hybrid operation mode, including:
[0079] S1301: When there are multiple first units, determine the actual heat difference between the second rated heating capacity of the first unit and the heating demand of the corresponding heating area;
[0080] S1302: Select a target unit from multiple first units according to the actual heat difference and configure it in a series-parallel operation mode.
[0081] In the case of multiple first units, it is necessary to collect the second rated heating data of all heat pump units preliminarily determined as "first units" and the heating demand data of their corresponding heating areas. For each first unit, calculate the difference between its second rated heating capacity and the heating demand of the corresponding heating area. This difference is the actual heat difference. The actual heat difference can be a positive value (indicating excess heating capacity of the unit) or a negative value (i.e., a unit that requires additional heating capacity).
[0082] Sort the actual heat gaps of all first units. At the same time, select units whose actual heat gaps reach or exceed a certain set threshold as potential hybrid operation target units. When selecting the target unit, you can choose the unit with the largest actual heat gap to maximize the use of excess heating capacity. In addition, considering the overall load balance of the system, you need to select units that can balance the system heating load for hybrid configuration.
[0083] Through the above steps, the target unit can be flexibly selected according to the difference between the second rated heating amount of the multiple first units and the actual heating demand of the corresponding heating area, and configured to be in a hybrid operation mode to optimize energy utilization and improve heating efficiency.
[0084] On the other hand, optionally, referring to Figure 6 , configure the first unit to the hybrid operation mode, including:
[0085] S1303: When there are multiple first units, determine the distance information between each first unit and the corresponding designated heat pump unit;
[0086] S1304. Select the first unit closest to the first unit from the multiple first units according to the distance information and configure it in a series-parallel operation mode.
[0087] In the case of multiple first units, for each first unit (i.e., units whose second rated heating capacity is higher than the heating demand of the corresponding heating area), the physical distance information between them and their corresponding designated heat pump units is collected. When selecting the target unit, the "shortest distance" strategy is adopted, and the unit with the shortest distance to the corresponding designated heat pump unit is selected from multiple first units as the target unit for hybrid operation. This strategy helps to reduce the loss in the process of heat energy transmission and improve the overall energy efficiency of the system.
[0088] Through the above steps, the most suitable unit can be selected from multiple first units according to the distance information and configured as a hybrid operation mode to optimize heat energy transmission and improve heating efficiency. At the same time, this configuration method also helps to reduce system complexity and maintenance costs.
[0089] Optionally, configuring the second unit as a designated heat pump unit of the first unit includes:
[0090] In the case that there are multiple first units and multiple second units, the corresponding second unit is selected as the designated heat pump unit of the first unit according to the set association relationship, and the association relationship is configured according to the heating system pipeline setting information.
[0091] When configuring the second unit as the designated heat pump unit of the first unit, if there are multiple first units and second units, it is necessary to determine the pairing between them based on a certain set association relationship. This association relationship is configured based on the pipeline setting information of the heating system to ensure the effective transmission of heat energy and the stable operation of the system.
[0092] First, it is necessary to collect detailed information on the piping settings of the heating system, including pipeline layout, connection points, valve positions, etc. This information is the basis for determining the association relationship. Based on the pipeline setting information, analyze the optimal path for heat energy to be transmitted from the first unit to the second unit. This usually involves evaluating factors such as pipeline length, diameter, material, and possible heat energy loss. Based on the analysis results of the heat energy transmission path, set the association rules between the first unit and the second unit. These rules may include priority pairing principles (such as based on the shortest distance, minimum heat energy loss, etc.), standby unit selection strategies, etc. According to the set association rules, establish a pairing table to clarify the designated second unit corresponding to each first unit.
[0093] Through the above steps, the second unit can be effectively configured as the designated heat pump unit of the first unit to ensure the stable operation and high efficiency of the heating system. At the same time, this configuration method also helps to improve the flexibility and scalability of the system to adapt to possible changes and needs in the future.
[0094] In the above, by obtaining the target air temperature, target humidity and occupancy rate information of each heating area in the target time period, the target air temperature, target humidity and occupancy rate information are input into a pre-constructed heating demand prediction model, and the heating demand of each heating area in the target time period is predicted and output based on the heating demand prediction model; the heating demand prediction model constructs training samples based on historical air temperature, historical humidity, historical occupancy rate and corresponding historical heating supply in advance, and the heating demand prediction model is trained based on the training samples; the first rated heating amount of the heat pump unit corresponding to each heating area in the target time period is determined, and the load balancing adjustment parameters of each heat pump unit are configured according to the total historical heating load of the heat pump unit corresponding to each heating area, and the second rated heating amount of the heat pump unit corresponding to each heating area in the target time period is generated based on the load balancing adjustment parameters and the first rated heating amount. Heating capacity; configuring each heat pump unit to a parallel operation mode or a hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of each corresponding heating area, so as to control each heat pump unit to operate in the target time period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment in the heating area to which it belongs, and to operate in parallel with other heat pump units, and the hybrid operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode preferentially, and when the heating capacity of the corresponding heat pump unit reaches the heating demand of the heating area to which it belongs, the heating output end of the corresponding heat pump unit is controlled to be connected to the heating input end of the designated heat pump unit, and the operation is switched to the series mode, and the heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heating capacity of the designated heat pump unit. By adopting the above-mentioned technical means, the load balancing adjustment parameters of each heat pump unit are configured according to the total historical heating load of the heat pump unit corresponding to each heating area, and the operation mode of the heat pump unit is configured in combination with the load balancing adjustment to ensure that the heat pump unit maintains load balance and efficient operation during operation, avoids the imbalance of heating supply and demand in each area, and realizes flexible scheduling of the heating station system, thereby improving overall energy efficiency and reducing energy consumption.
[0095] Embodiment 2:
[0096] Based on the above embodiments, Figure 7 This is a schematic diagram of the structure of a heat pump energy-saving management system for a heating station system provided in Example 2 of the present application. Figure 7 The heat pump energy-saving management system of the heating station system provided in this embodiment specifically includes:
[0097] The prediction module 21 is used to obtain the target temperature, target humidity and occupancy rate information of each heating area in the target time period, input the target temperature, target humidity and occupancy rate information into a pre-constructed heat demand prediction model, and predict and output the heat demand of each heating area in the target time period based on the heat demand prediction model; the heat demand prediction model constructs training samples based on historical temperature, historical humidity, historical occupancy rate and corresponding historical heating amount in advance, and trains the heat demand prediction model based on the training samples;
[0098] a configuration module 22, configured to determine a first rated heating amount of the heat pump units corresponding to each heating area during the target period, and configure a load balancing adjustment parameter of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area, and generate a second rated heating amount of the heat pump units corresponding to each heating area during the target period based on the load balancing adjustment parameter and the first rated heating amount;
[0099] The management module 23 is used to configure each heat pump unit to a parallel operation mode or a hybrid operation mode according to the second rated heating amount of each heat pump unit and the heating demand of each corresponding heating area, so as to control each heat pump unit to operate in the target time period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment in the heating area to which it belongs, and to operate in parallel with other heat pump units, and the hybrid operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode preferentially, and when the heating amount of the corresponding heat pump unit reaches the heating demand of the heating area to which it belongs, the heating output end of the corresponding heat pump unit is controlled to be connected to the heating input end of the designated heat pump unit, and the operation is switched to the series mode, and the heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heating amount of the designated heat pump unit.
[0100] In the above, the target air temperature, target humidity and occupancy rate information of each heating area in the target time period are obtained, the target air temperature, target humidity and occupancy rate information are input into a pre-constructed heating demand prediction model, and the heating demand of each heating area in the target time period is predicted and output based on the heating demand prediction model; the heating demand prediction model constructs training samples based on historical air temperature, historical humidity, historical occupancy rate and corresponding historical heating supply in advance, and the heating demand prediction model is trained based on the training samples; the first rated heating amount of the heat pump unit corresponding to each heating area in the target time period is determined, and the load balancing adjustment parameters of each heat pump unit are configured according to the total historical heating load of the heat pump unit corresponding to each heating area, and the second rated heating amount of the heat pump unit corresponding to each heating area in the target time period is generated based on the load balancing adjustment parameters and the first rated heating amount. heat; configuring each heat pump unit to a parallel operation mode or a hybrid operation mode according to the second rated heating amount of each heat pump unit and the heating demand of each corresponding heating area, so as to control each heat pump unit to operate in the target time period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment in the heating area to which it belongs, and to operate in parallel with other heat pump units, and the hybrid operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode preferentially, and when the heating amount of the corresponding heat pump unit reaches the heating demand of the heating area to which it belongs, the heating output end of the corresponding heat pump unit is controlled to be connected to the heating input end of the designated heat pump unit, and switched to the series mode operation, and the heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heating amount of the designated heat pump unit. By adopting the above-mentioned technical means, the load balancing adjustment parameters of each heat pump unit are configured according to the total historical heating load of the heat pump unit corresponding to each heating area, and the operation mode of the heat pump unit is configured in combination with the load balancing adjustment to ensure that the heat pump unit maintains load balance and efficient operation during operation, avoids the imbalance of heating supply and demand in each area, and realizes flexible scheduling of the heating station system, thereby improving overall energy efficiency and reducing energy consumption.
[0101] Specifically, the load balancing adjustment parameters of each heat pump unit are configured according to the total historical heating load of the heat pump unit corresponding to each heating area, including:
[0102] Calculate the average heating load based on the total historical heating load of the heat pump units corresponding to each heating area;
[0103] The load deviation is determined according to the average heating load and the total historical heating load of the corresponding heat pump unit, and the load balancing adjustment parameters of each heat pump unit are calculated according to the load deviation.
[0104] Specifically, generating a second rated heating amount of the heat pump unit corresponding to each heating area in the target period based on the load balancing adjustment parameter and the first rated heating amount includes:
[0105] Determine an initial rated heating amount based on a product of the load balancing adjustment parameter and the first rated heating amount;
[0106] When the difference between the initial rated heating amount and the first rated heating amount is less than the set threshold, the initial rated heating amount is used as the second rated heating amount of the corresponding heat pump unit in the target period;
[0107] When the difference between the initial rated heating amount and the first rated heating amount exceeds the set threshold, the second rated heating amount of the corresponding heat pump unit in the target time period is calculated based on the first rated heating amount and the set threshold.
[0108] Specifically, each heat pump unit is configured to be in a parallel operation mode or a hybrid operation mode according to the second rated heating amount of each heat pump unit and the corresponding heating demand of each heating area, including:
[0109] When it is determined from among the heat pump units that the second rated heating capacity of the first unit is higher than the heating demand of the corresponding heating area by a set heat difference, and the second rated heating capacity of the second unit is lower than the heating demand of the corresponding heating area by a set heat difference, the first unit is configured as a series-parallel operation mode, and the second unit is configured as the designated heat pump unit of the first unit; otherwise, each heat pump unit is configured as a parallel operation mode.
[0110] Specifically, configuring the first unit to be in a series-parallel operation mode includes:
[0111] In the case where there are multiple first units, determining the actual heat difference between the second rated heating capacity of the first unit and the heating demand of the corresponding heating area;
[0112] A target unit is selected from a plurality of first units according to the actual heat difference and configured as a series-connected operation mode.
[0113] Specifically, configuring the first unit to be in a series-parallel operation mode includes:
[0114] In the case where there are multiple first units, determining distance information between each first unit and the corresponding designated heat pump unit;
[0115] The first unit closest to the first units is selected according to the distance information and configured as a series-parallel operation mode.
[0116] Specifically, configuring the second unit as a designated heat pump unit of the first unit includes:
[0117] In the case that there are multiple first units and multiple second units, the corresponding second unit is selected as the designated heat pump unit of the first unit according to the set association relationship, and the association relationship is configured according to the heating system pipeline setting information.
[0118] The heat pump energy-saving management system of the heating station system provided in the second embodiment of the present application can be used to execute the heat pump energy-saving management method of the heating station system provided in the above-mentioned first embodiment, and has corresponding functions and beneficial effects.
[0119] Embodiment three:
[0120] Embodiment 3 of the present application provides an electronic device, referring to Figure 8 The electronic device includes: a processor 31, a memory 32, a communication module 33, an input device 34 and an output device 35. The number of processors in the electronic device can be one or more, and the number of memories in the electronic device can be one or more. The processor, memory, communication module, input device and output device of the electronic device can be connected via a bus or other means.
[0121] As a computer-readable storage medium, the memory can be used to store software programs, computer executable programs and modules, such as the program instructions / modules corresponding to the heat pump energy-saving management method of the heating station system described in any embodiment of the present application (for example, the various modules in the heat pump energy-saving management system of the heating station system). The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the device, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0122] The communication module is used for data transmission.
[0123] The processor executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory, that is, realizes the above-mentioned heat pump energy-saving management method of the heating station system.
[0124] The input device can be used to receive input digital or character information and generate key signal input related to user settings and function control of the device. The output device can include display devices such as display screens.
[0125] The electronic device provided above can be used to execute the heat pump energy-saving management method of the heating station system provided in the above embodiment 1, and has corresponding functions and beneficial effects.
[0126] Embodiment 4:
[0127] The embodiment of the present application also provides a storage medium containing computer executable instructions, which are used to execute a heat pump energy-saving management method for a heating station system when executed by a computer processor. The heat pump energy-saving management method for the heating station system includes: obtaining target air temperature, target humidity and occupancy rate information of each heating area in a target time period, inputting the target air temperature, target humidity and occupancy rate information into a pre-constructed heating demand prediction model, and predicting and outputting the heating demand of each heating area in the target time period based on the heating demand prediction model; the heating demand prediction model pre-constructs training samples based on historical air temperature, historical humidity, historical occupancy rate and corresponding historical heating amount, and trains the heating demand prediction model based on the training samples; determining the first rated heating amount of the heat pump unit corresponding to each heating area in the target time period, and configuring the load balancing adjustment parameters of each heat pump unit according to the total historical heating load of the heat pump unit corresponding to each heating area, and based on the load balancing The second rated heating capacity of the heat pump unit corresponding to each heating area is generated by balancing the adjustment parameters and the first rated heating capacity; each heat pump unit is configured to be in parallel operation mode or hybrid operation mode according to the second rated heating capacity of each heat pump unit and the heating demand of each corresponding heating area, so as to control each heat pump unit to operate in the target time period based on the parallel operation mode or the hybrid operation mode; the parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment of the heating area to which it belongs, and to operate in parallel with other heat pump units, and the hybrid operation mode is used to control the corresponding heat pump unit to operate in parallel operation mode first, and when the heating capacity of the corresponding heat pump unit reaches the heating demand of the heating area to which it belongs, the heating output end of the corresponding heat pump unit is controlled to be connected to the heating input end of the designated heat pump unit, and the operation is switched to series mode, and the heating demand of the heating area to which the designated heat pump unit belongs is higher than the second rated heating capacity of the designated heat pump unit.
[0128] Storage medium - any of various types of memory devices or storage devices. The term "storage medium" is intended to include: installation media, such as CD-ROM, floppy disk or tape device; computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memory, such as flash memory, magnetic media (such as hard disk or optical storage); registers or other similar types of memory elements, etc. Storage media may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the first computer system in which the program is executed, or may be located in a different second computer system, which is connected to the first computer system via a network (such as the Internet). The second computer system can provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations (for example, in different computer systems connected by a network). The storage medium may store program instructions (for example, embodied as a computer program) that can be executed by one or more processors.
[0129] Of course, the storage medium containing computer executable instructions provided in the embodiment of the present application is not limited to the heat pump energy-saving management method for the heating station system as described above, and can also execute related operations in the heat pump energy-saving management method for the heating station system provided in any embodiment of the present application.
[0130] The heat pump energy-saving management system, storage medium and electronic device of the heating station system provided in the above embodiments can execute the heat pump energy-saving management method of the heating station system provided in any embodiment of the present application. For technical details not described in detail in the above embodiments, please refer to the heat pump energy-saving management method of the heating station system provided in any embodiment of the present application.
[0131] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.
Claims
1. A heat pump energy-saving management method for a heating station system, characterized in that: include: Obtain target air temperature, target humidity and occupancy rate information of each heating area in a target period, input the target air temperature, target humidity and occupancy rate information into a pre-constructed heat demand prediction model, and predict and output the heat demand of each heating area in the target period based on the heat demand prediction model; the heat demand prediction model constructs training samples based on historical air temperature, historical humidity, historical occupancy rate and corresponding historical heating amount in advance, and trains the heat demand prediction model based on the training samples; Determine a first rated heating amount of the heat pump units corresponding to each heating area during the target period, configure a load balancing adjustment parameter of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area, and generate a second rated heating amount of the heat pump units corresponding to each heating area during the target period based on the load balancing adjustment parameter and the first rated heating amount; configuring each heat pump unit to a parallel operation mode or a hybrid operation mode according to the second rated heating amount of each heat pump unit and the heating demand of each corresponding heating area, so as to control each heat pump unit to operate in the target time period based on the parallel operation mode or the hybrid operation mode; The parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment in the heating area to which it belongs, and to operate in parallel with other heat pump units. The mixed operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode first. When the heating amount of the corresponding heat pump unit reaches the heating demand in the heating area to which it belongs, the heating output end of the corresponding heat pump unit is controlled to be connected to the heating input end of the designated heat pump unit, and the operation is switched to the series mode. The heating demand in the heating area to which the designated heat pump unit belongs is higher than the second rated heating amount of the designated heat pump unit.
2. The heat pump energy-saving management method for a heating station system according to claim 1, characterized in that: The configuration of the load balancing adjustment parameters of each heat pump unit according to the total amount of historical heating load of the heat pump unit corresponding to each heating area includes: Calculate the average heating load based on the total historical heating load of the heat pump units corresponding to each heating area; A load deviation is determined according to the average heating load and the total historical heating load of the corresponding heat pump unit, and a load balancing adjustment parameter of each heat pump unit is calculated according to the load deviation.
3. The heat pump energy-saving management method for a heating station system according to claim 2, characterized in that: Generating a second rated heating amount of the heat pump unit corresponding to each heating area in the target time period based on the load balancing adjustment parameter and the first rated heating amount includes: determining an initial rated heating amount based on a product of a load balancing adjustment parameter and the first rated heating amount; When the difference between the initial rated heating amount and the first rated heating amount is less than a set threshold, the initial rated heating amount is used as the second rated heating amount of the corresponding heat pump unit in the target time period; When the difference between the initial rated heating amount and the first rated heating amount exceeds a set threshold, a second rated heating amount of the corresponding heat pump unit in the target time period is calculated based on the first rated heating amount and the set threshold.
4. The heat pump energy-saving management method for a heating station system according to claim 1, characterized in that: The configuring each heat pump unit to a parallel operation mode or a hybrid operation mode according to the second rated heating amount of each heat pump unit and the heating demand of each corresponding heating area includes: When it is determined from each heat pump unit that the second rated heating capacity of the first unit is higher than the heating demand of the corresponding heating area by a set heat difference, and the second rated heating capacity of the second unit is lower than the heating demand of the corresponding heating area by a set heat difference, the first unit is configured as a series-parallel operation mode, and the second unit is configured as the designated heat pump unit of the first unit; otherwise, each heat pump unit is configured as a parallel operation mode.
5. The heat pump energy-saving management method for a heating station system according to claim 4, characterized in that: The configuring the first unit to be in a parallel-parallel operation mode includes: In the case where there are multiple first units, determining an actual heat difference between the second rated heating amount of the first unit and the heating demand of the corresponding heating area; A target unit is selected from the plurality of first units according to the actual heat difference and configured as a series-parallel operation mode.
6. The heat pump energy-saving management method for a heating station system according to claim 4, characterized in that: The configuring the first unit to be in a parallel-parallel operation mode includes: In the case where there are multiple first units, determining distance information between each of the first units and the corresponding designated heat pump unit; The first machine group closest to the first machine group is selected according to the distance information and configured as a series-parallel operation mode.
7. The heat pump energy-saving management method for a heating station system according to claim 4, characterized in that: The configuring the second unit as the designated heat pump unit of the first unit includes: In the case that there are multiple first units and multiple second units, the corresponding second unit is selected as the designated heat pump unit of the first unit according to a set association relationship, and the association relationship is configured according to the heating system pipeline setting information.
8. A heat pump energy-saving management system for a heating station system, characterized in that: include: A prediction module is used to obtain target air temperature, target humidity and occupancy rate information of each heating area in a target period, input the target air temperature, target humidity and occupancy rate information into a pre-constructed heat demand prediction model, and predict and output the heat demand of each heating area in the target period based on the heat demand prediction model; the heat demand prediction model constructs training samples based on historical air temperature, historical humidity, historical occupancy rate and corresponding historical heating amount in advance, and trains the heat demand prediction model based on the training samples; a configuration module, for determining a first rated heating amount of the heat pump units corresponding to each heating area during the target period, and configuring a load balancing adjustment parameter of each heat pump unit according to the total historical heating load of the heat pump units corresponding to each heating area, and generating a second rated heating amount of the heat pump units corresponding to each heating area during the target period based on the load balancing adjustment parameter and the first rated heating amount; a management module, configured to configure each heat pump unit to a parallel operation mode or a hybrid operation mode according to the second rated heating amount of each heat pump unit and the heating demand of each corresponding heating area, so as to control each heat pump unit to operate in the target time period based on the parallel operation mode or the hybrid operation mode; The parallel operation mode is used to control the heating output end of the corresponding heat pump unit to be connected to the heating equipment in the heating area to which it belongs, and to operate in parallel with other heat pump units. The mixed operation mode is used to control the corresponding heat pump unit to operate in the parallel operation mode first. When the heating amount of the corresponding heat pump unit reaches the heating demand in the heating area to which it belongs, the heating output end of the corresponding heat pump unit is controlled to be connected to the heating input end of the designated heat pump unit, and the operation is switched to the series mode. The heating demand in the heating area to which the designated heat pump unit belongs is higher than the second rated heating amount of the designated heat pump unit.
9. An electronic device, characterized in that: include: memory and one or more processors; The memory is used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the heat pump energy-saving management method for the heating station system as described in any one of claims 1-7.
10. A storage medium containing computer executable instructions, characterized in that: The computer executable instructions are used to execute the heat pump energy-saving management method for a heating station system as described in any one of claims 1-7 when executed by a computer processor.
Citation Information
Patent Citations
Vortex parallel-connecting heat pump unit and starting mode thereof
CN104315754A
Coupled type heat pump heat supply method and coupled type heat pump heat supply system
CN108344028A
Method and apparatus for increasing the efficiency of the cogeneration power plant by the heat pump principle utilization for increasing the coolant inlet temperature
CN109477642A
Gradient temperature increasing type high-capacity heat pump heat supply system
CN110939973A
Multi-stage series connection heat pump system and control method thereof
CN110953628A