Multi-energy complementary water storage tower type water source heat pump system and control method
Through the multi-energy complementary water storage tower water source heat pump system, combined with the optimized scheduling of wind power and photovoltaic energy, the instability problem of photovoltaic and wind energy heating systems is solved, and efficient and stable hot and cold load supply and cost optimization are achieved.
Patent Information
- Application Number
- CN202510712609.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-29
- Publication Date
- 2025-07-11
AI Technical Summary
How to organically combine photovoltaic and wind energy with heating systems to achieve efficient and stable supply of hot and cold loads, and solve the problem that its output power is greatly affected by environmental factors.
The multi-energy complementary water storage tower water source heat pump system is adopted, including water storage devices, water source heat pump units, heating and power supply systems and control systems. Through data acquisition, analysis, preprocessing, judgment and prediction models, an optimization model is built for joint or separately solution, to dispatch wind power and photovoltaic energy to meet the heating or refrigeration needs of the water storage device.
The complementary advantages of wind and solar energy are achieved, the reliability and stability of energy supply are improved, the optimal energy dispatching solution is found under various temperature differences, and the operation cost and energy consumption are reduced.
Smart Images
Figure CN120292765A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of heat supply and regulation, and more particularly to a multi-energy complementary water storage tower type water source heat pump system and a control method thereof. Background Art
[0002] At present, energy is the basic driving force for economic and social development. Although the application of traditional energy has promoted social development, resources are being consumed irreversibly. In recent years, with the improvement of energy efficiency and the development of renewable energy thermal utilization technology (such as solar energy and wind energy), renewable energy has received widespread attention and rapid development.
[0003] However, as renewable energy sources, solar energy and wind energy have the advantages of being clean and renewable, but their output power is greatly affected by environmental factors and is intermittent and unstable. How to organically combine photovoltaic and wind energy with heating systems and achieve efficient and stable supply of cold and hot loads through intelligent control is a technical problem that needs to be solved urgently. Summary of the invention
[0004] In view of this, the present invention provides a multi-energy complementary water storage tower type water source heat pump system and control method, which can fully tap the potential of wind energy and solar energy, realize the complementary advantages of the two energy sources, improve the reliability and stability of energy supply, and ensure that the optimal energy scheduling plan can be found under various temperature difference conditions to meet the heating or cooling needs of the water storage device.
[0005] In order to achieve the above object, the present invention adopts the following technical solution:
[0006] A multi-energy complementary water storage tower type water source heat pump system, comprising:
[0007] A water storage system, comprising a water storage device and a water source heat pump unit connected in sequence, wherein the water storage device is used to store circulating water, and the water source heat pump unit is used to perform cooling or heating according to control requirements;
[0008] A heating and power supply system, which is connected to the water source heat pump unit and is used to supply power to the water source heat pump unit and provide heat and electricity according to control requirements;
[0009] A control system, wherein the control system is connected to the water storage device, the water source heat pump unit and the heating and power supply system, and is used to analyze control requirements and complete the control of the water source heat pump unit and the heating and power supply system according to the analysis results.
[0010] Preferably, the heating and power supply system includes a wind turbine and a photovoltaic turbine.
[0011] Preferably, the control system comprises:
[0012] A data acquisition module, configured to acquire meteorological parameters, environmental parameters, the current temperature of the water storage device, and the actual load demand during the current period;
[0013] A data parsing module, connected to the data acquisition module, configured to parse the actual load demand to determine the target temperature;
[0014] A data preprocessing module, connected to the data acquisition module, configured to preprocess the meteorological parameters and environmental parameters;
[0015] A data judgment module, connected to the data acquisition module and the data parsing module, configured to determine the usage mode according to the difference between the current temperature and the target temperature;
[0016] A data prediction module, connected to the data judgment module, the data preprocessing module, the data parsing module, the water storage device, the water source heat pump unit, and the heating and power supply system, configured to build a prediction model, input the difference, the preprocessed meteorological parameters and environmental parameters into the prediction model for processing, obtain the corresponding load prediction result, and control the water storage device, the water source heat pump unit, and the heating and power supply system according to the load prediction result.
[0017] Preferably, the control system further includes:
[0018] A first adjustment module, connected to the data judgment module, the data prediction module, the water storage device, the water source heat pump unit, and the heating and power supply system, configured to respectively establish a wind power dispatch optimization model and a photovoltaic dispatch optimization model, construct a first constraint condition when the difference does not meet the requirements of the preset threshold, jointly solve the wind power dispatch optimization model and the photovoltaic dispatch optimization model by using the first constraint condition and the load prediction result, and complete the dispatch according to the first solution result.
[0019] Preferably, the first adjustment module further includes: determining the corresponding weight value according to the calculation results of the wind power heating calculation model and the photovoltaic heating calculation model, and completing the heating by comprehensively considering the cost and efficiency.
[0020] Preferably, the control system further includes:
[0021] A second adjustment module, which is connected to the data judgment module, the data prediction module, the water storage device, the water source heat pump unit, and the heating and power supply system, is configured to construct a second constraint condition when the difference meets the requirements of a preset threshold, respectively establish a wind power dispatch optimization model and a photovoltaic dispatch optimization model, solve the wind power dispatch optimization model and the photovoltaic dispatch optimization model by using the second constraint condition and the load prediction result, and complete the dispatch according to the second solution result.
[0022] The present invention also provides a control method for a multi-energy complementary water storage tower type water source heat pump system, including the following steps:
[0023] Collect the environmental parameters, meteorological parameters, current temperature of the water storage device, and actual load demand at the current time period, preprocess the environmental parameters and meteorological parameters, and determine the target temperature according to the actual load demand;
[0024] Determine the difference between the current temperature and the target temperature;
[0025] Construct a prediction model, input the preprocessed meteorological parameters, environmental parameters, and the difference into the prediction model for processing to obtain a corresponding load prediction result, and control the water storage device, the water source heat pump unit, and the heating and power supply system according to the load prediction result.
[0026] Preferably, the specific processing process of controlling the water storage device, the water source heat pump unit, and the heating and power supply system according to the load prediction result includes:
[0027] Judge the relationship between the difference and the preset threshold. When the difference does not meet the requirements of the preset threshold, respectively establish a wind power dispatch optimization model and a photovoltaic dispatch optimization model, construct a first constraint condition, jointly solve the wind power dispatch optimization model and the photovoltaic dispatch optimization model by using the first constraint condition and the load prediction result, and complete the dispatch according to the first solution result.
[0028] Preferably, the specific processing process of controlling the water storage device, the water source heat pump unit, and the heating and power supply system according to the load prediction result further includes:
[0029] When the difference meets the requirements of the preset threshold, substitute the environmental parameters and meteorological parameters into the wind power heating calculation model and the photovoltaic heating calculation model respectively, compare the costs of the two energy supply methods, and select the method with the minimum cost to heat the water storage system.
[0030] It can be seen from the above technical solutions that, compared with the prior art, the present invention discloses a multi-energy complementary water storage tower type water source heat pump system and a control method, which have the following beneficial effects:
[0031] 1. When the difference between the current temperature and the target temperature of the water storage device does not meet the preset threshold, the present invention respectively establishes a wind power scheduling optimization model and a photovoltaic scheduling optimization model, constructs the first constraint condition for joint solution, and completes the scheduling according to the first solution result. This flexible scheduling method can fully exploit the potential of wind energy and solar energy, realize the complementary advantages of the two energy sources, improve the reliability and stability of energy supply, ensure that the optimal energy scheduling scheme can be found under various temperature difference conditions, and meet the heating or cooling requirements of the water storage device.
[0032] 2. When the difference meets the requirements of the preset threshold, the present invention constructs the second constraint condition, respectively establishes a wind power scheduling optimization model and a photovoltaic scheduling optimization model, and uses the second constraint condition and the load prediction result to solve respectively, and completes the scheduling according to the second solution result. This method can more accurately control the input ratio of wind energy and solar energy, and on the premise of meeting the load demand, minimize energy consumption and operating costs, and improve the economy of the system.
[0033] 3. By constructing a prediction model, the present invention predicts the load demand in advance, and reasonably schedules wind energy, solar energy, and the heating and power supply systems according to the prediction result, which can avoid waste and excessive consumption of energy, thereby reducing the operating cost of the system. At the same time, the solution process of the optimization model can further accurately allocate energy tasks, find the operating scheme with the lowest cost, improve energy utilization efficiency, and reduce unnecessary expenses. Description of the Drawings
[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained according to the provided drawings.
[0035] Figure 1 It is a structural principle block diagram of a multi-energy complementary water storage tower type water source heat pump system provided by the present invention. Detailed Embodiments
[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.
[0037] See Figure 1As shown in the figure, an embodiment of the present invention provides a multi-energy complementary water storage tower type water source heat pump system, including:
[0038] A water storage system 1, including a water storage device 11 and a water source heat pump unit 12 connected in sequence. The water storage device 11 is used to store recycled water, and the water source heat pump unit 12 is used to refrigerate or heat according to control requirements.
[0039] A heating and power supply system 2, connected to the water source heat pump unit 12, is used to supply power to the water source heat pump unit 12 and provide heat and electricity according to control requirements.
[0040] A control system 3, connected to the water storage device 11, the water source heat pump unit 12, and the heating and power supply system 2, is used to analyze control requirements and complete the control of the water source heat pump unit 12 and the heating and power supply system 2 according to the analysis results.
[0041] In a specific embodiment, the heating and power supply system 2 includes a wind turbine and a photovoltaic unit.
[0042] In a specific embodiment, the control system 3 includes:
[0043] A data acquisition module 31, used to acquire meteorological parameters, environmental parameters, the current temperature of the water storage device 11, and the actual load demand at the current time period. The meteorological parameters may include parameters such as outdoor temperature, precipitation, air humidity, illuminance, wind force level, etc., and the environmental parameters may include parameters such as indoor temperature and indoor humidity.
[0044] A data analysis module 32, connected to the data acquisition module 31, is used to analyze the actual load demand to determine the target temperature.
[0045] A data preprocessing module 33, connected to the data acquisition module 31, is used to preprocess the meteorological parameters and environmental parameters. The preprocessing process may include processes such as outlier removal and filtering.
[0046] A data judgment module 34, connected to the data acquisition module 31 and the data analysis module 32, is used to determine the usage mode according to the difference between the current temperature and the target temperature. If the difference is negative, the heating mode is adopted; if the difference is negative, the cooling mode is adopted.
[0047] The data prediction module 35 is connected to the data judgment module 34, the data preprocessing module 33, the data parsing module 32, the water storage device 11, the water source heat pump unit 12, and the heating and power supply system 2. It is used to construct a prediction model, input the difference value, the preprocessed meteorological parameters, and environmental parameters into the prediction model for processing, obtain the corresponding load prediction results, and control the water storage device 11, the water source heat pump unit 12, and the heating and power supply system 2 according to the load prediction results.
[0048] In a specific embodiment, the control system 3 further includes:
[0049] The first adjustment module 36 is connected to the data judgment module 34, the data prediction module 35, the water storage device 11, the water source heat pump unit 12, and the heating and power supply system 2. When the difference value does not meet the requirements of the preset threshold, it is used to respectively establish a wind power dispatching optimization model and a photovoltaic power dispatching optimization model, construct the first constraint condition, jointly solve the wind power dispatching optimization model and the photovoltaic power dispatching optimization model by using the first constraint condition and the load prediction results, and complete the dispatching according to the first solution result.
[0050] In a specific embodiment, the first adjustment module 36 further includes: determining the corresponding weight value according to the calculation results of the wind power heating calculation model and the photovoltaic power heating calculation model, and comprehensively considering cost and efficiency to complete heating.
[0051] In a specific embodiment, the control system 3 further includes:
[0052] The second adjustment module 37 is connected to the data judgment module 34, the data prediction module 35, the water storage device 11, the water source heat pump unit 12, and the heating and power supply system 2. When the difference value meets the requirements of the preset threshold, it is used to construct the second constraint condition, respectively establish a wind power dispatching optimization model and a photovoltaic power dispatching optimization model, solve the wind power dispatching optimization model and the photovoltaic power dispatching optimization model respectively by using the second constraint condition and the load prediction results, and complete the dispatching according to the second solution result.
[0053] The present invention also provides a control method for a multi-energy complementary water storage tower type water source heat pump system applying any one of the above embodiments, including the following steps:
[0054] Collect the environmental parameters, meteorological parameters, the current temperature of the water storage device 11, and the actual load demand at the current time period, preprocess the environmental parameters and meteorological parameters, and determine the target temperature according to the actual load demand;
[0055] Determine the difference between the current temperature and the target temperature;
[0056] Build a prediction model, input the preprocessed meteorological parameters, environmental parameters, and difference into the prediction model for processing to obtain the corresponding load prediction results, and control the water storage device 11, the water source heat pump unit 12, and the heating and power supply system 2 according to the load prediction results. The prediction model can be a model combining CNN and LSTM, which can better complete the load prediction.
[0057] In a specific embodiment, the specific processing process of controlling the water storage device 11, the water source heat pump unit 12, and the heating and power supply system 2 according to the load prediction results includes:
[0058] Judge the relationship between the difference and the preset threshold. When the difference does not meet the requirements of the preset threshold, establish a wind power dispatch optimization model and a photovoltaic dispatch optimization model respectively, construct the first constraint condition, and use the first constraint condition and the load prediction results to jointly solve the wind power dispatch optimization model and the photovoltaic dispatch optimization model, and complete the dispatch according to the first solution result.
[0059] Specifically, the first constraint condition can include the required time, the power generation cost, and the user cost. Both the wind power heating calculation model and the photovoltaic heating calculation model can be multiple linear regression models related to meteorological parameters obtained through linear regression analysis;
[0060] Substitute the meteorological parameters into the wind power heating calculation model and the photovoltaic heating calculation model to obtain the corresponding wind power calculation results and photovoltaic calculation results;
[0061] Construct a decision tree model, input the first constraint condition, the wind power calculation results, and the photovoltaic calculation results into the decision tree model to obtain the corresponding wind power weight and photovoltaic weight values, and complete the heating by comprehensively considering the cost and efficiency.
[0062] In a specific embodiment, the specific processing process of controlling the water storage device 11, the water source heat pump unit 12, and the heating and power supply system 2 according to the load prediction results further includes:
[0063] When the difference meets the requirements of the preset threshold, substitute the environmental parameters and meteorological parameters into the wind power heating calculation model and the photovoltaic heating calculation model respectively, compare the costs of the two energy supply methods, and select the method with the minimum cost to heat the water storage system.
[0064] Each embodiment in this specification is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The same or similar parts among the embodiments can be referred to each other. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method part.
[0065] The foregoing description of the disclosed embodiments enables those skilled in the art to practice or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A multi-energy complementary water storage tower type water source heat pump system, characterized in that, Comprising: A water storage system (1), including a water storage device (11) and a water source heat pump unit (12) connected in sequence. The water storage device (11) is used to store recycled water, and the water source heat pump unit (12) is used to refrigerate or heat according to control requirements; A heating and power supply system (2), which is connected to the water source heat pump unit (12) and is used to supply power to the water source heat pump unit (12) and provide heat and electricity according to control requirements; A control system (3), which is connected to the water storage device (11), the water source heat pump unit (12) and the heating and power supply system (2), and is used to analyze control requirements and complete the control of the water source heat pump unit (12) and the heating and power supply system (2) according to the analysis results.
2. The multi-energy complementary water storage tower type water source heat pump system according to claim 1, characterized in that The heating and power supply system (2) includes a wind turbine and a photovoltaic unit.
3. A multi-energy complementary water storage tower type water source heat pump system according to claim 2, characterized in that The control system (3) includes: A data acquisition module (31), which is used to acquire meteorological parameters, environmental parameters, the current temperature of the water storage device (11) and the actual load demand at the current time; A data analysis module (32), which is connected to the data acquisition module (31) and is used to analyze the actual load demand to determine the target temperature; A data preprocessing module (33), which is connected to the data acquisition module (31) and is used to preprocess meteorological parameters and environmental parameters; A data judgment module (34), which is connected to the data acquisition module (31) and the data analysis module (32) and is used to determine the usage mode according to the difference between the current temperature and the target temperature; A data prediction module (35), which is connected to the data judgment module (34), the data preprocessing module (33), the data analysis module (32), the water storage device (11), the water source heat pump unit (12) and the heating and power supply system (2), and is used to build a prediction model, input the difference, the preprocessed meteorological parameters and environmental parameters into the prediction model for processing, obtain the corresponding load prediction result, and control the water storage device (11), the water source heat pump unit (12) and the heating and power supply system (2) according to the load prediction result.
4. The multi-energy complementary water storage tower type water source heat pump system according to claim 3, characterized in that, The control system (3) further includes: A first adjustment module (36), which is connected to the data judgment module (34), the data prediction module (35), the water storage device (11), the water source heat pump unit (12) and the heating and power supply system (2), and is used to respectively establish a wind power dispatch optimization model and a photovoltaic dispatch optimization model when the difference does not meet the requirements of the preset threshold, construct the first constraint condition, jointly solve the wind power dispatch optimization model and the photovoltaic dispatch optimization model by using the first constraint condition and the load prediction result, and complete the dispatch according to the first solution result.
5. The multi-energy complementary water storage tower type water source heat pump system according to claim 4, characterized in that, The first adjustment module (36) further includes: determining corresponding weight values according to the calculation results of the wind heating calculation model and the photovoltaic heating calculation model, and completing heating by comprehensively considering cost and efficiency.
6. The multi-energy complementary water storage tower type water source heat pump system according to claim 4, wherein, The control system (3) further includes: a second adjustment module (37), which is connected to the data judgment module (34), the data prediction module (35), the water storage device (11), the water source heat pump unit (12), and the heating and power supply system (2). When the difference meets the requirements of the preset threshold, a second constraint condition is constructed, a wind power scheduling optimization model and a photovoltaic scheduling optimization model are respectively established, and the second constraint condition and the load prediction result are used to solve the wind power scheduling optimization model and the photovoltaic scheduling optimization model respectively, and scheduling is completed according to the second solution result.
7. A control method for a multi-energy complementary water storage tower type water source heat pump system according to any one of claims 1-6, characterized in that, including the following steps: Collect the environmental parameters, meteorological parameters, the current temperature of the water storage device (11), and the actual load demand at the current time period, preprocess the environmental parameters and meteorological parameters, and determine the target temperature according to the actual load demand; Determine the difference between the current temperature and the target temperature; Construct a prediction model, input the preprocessed meteorological parameters, environmental parameters, and the difference into the prediction model for processing to obtain the corresponding load prediction result, and control the water storage device (11), the water source heat pump unit (12), and the heating and power supply system (2) according to the load prediction result.
8. The control method according to claim 7, wherein The specific processing process of controlling the water storage device (11), the water source heat pump unit (12), and the heating and power supply system (2) according to the load prediction result includes: Judge the relationship between the difference and the preset threshold. When the difference does not meet the requirements of the preset threshold, a wind power scheduling optimization model and a photovoltaic scheduling optimization model are respectively established, a first constraint condition is constructed, and the first constraint condition and the load prediction result are used to jointly solve the wind power scheduling optimization model and the photovoltaic scheduling optimization model, and scheduling is completed according to the first solution result.
9. The control method according to claim 8, characterized in that, The specific processing process of controlling the water storage device (11), the water source heat pump unit (12), and the heating and power supply system (2) according to the load prediction result further includes: When the difference meets the requirements of the preset threshold, substitute the environmental parameters and meteorological parameters into the wind heating calculation model and the photovoltaic heating calculation model respectively, compare the costs of the two energy supply methods, and select the method with the lowest cost to heat the water storage system.