A remote terminal response and control method for air source heat pump based on power regulation

Abstract

The present invention provides a remote terminal response and control method for an air source heat pump based on power regulation, including: obtaining the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data of the air source heat pump; generating a power adjustment plan according to a preset production plan in combination with the power system peak load, frequency regulation auxiliary demand and the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data; generating an automation instruction according to the power adjustment plan and preset power regulation assessment indicators; the automation instruction changes the operating power of the air source heat pump through multiple ways during execution to generate an adjustment result; according to the adjustment result, the demand response plan is adjusted and corrected by a preset correction model through dynamic planning, and the operating power of the air source heat pump is dynamically adjusted. The present invention solves the problem that the existing air source heat pump is difficult to achieve coupled control that takes into account both power auxiliary services and its own safety, energy saving, and comfort.

Description

Technical Field

[0001] The present invention relates to the technical field of power regulation, and in particular to a remote terminal response and control method of an air source heat pump based on power regulation. Background Art

[0002] At present, the use of wind power and solar energy is gradually increasing. However, due to the randomness, volatility and intermittency of renewable energy, the technology of traditional power grids in smoothing load fluctuations can no longer meet the additional and larger fluctuations brought by renewable energy. This brings great safety and stability problems to the large-scale grid connection of renewable energy. In recent years, power system accidents have occurred frequently due to the high proportion of renewable energy connected to the grid. In the future, new energy will continue to maintain a rapid development momentum and become the main body of electricity. The challenges are more severe, and the task of improving the flexibility of the power system and smoothing the volatility brought by the grid connection of renewable energy is imminent.

[0003] In recent years, the proportion of flexible loads with adjustable capabilities, such as building environmental loads, electric vehicle charging piles, and distributed energy storage on the demand side, has increased year by year, and has great potential to smooth out fluctuations in new energy and provide flexibility for the power system. In addition, distributed photovoltaics on the distribution network side are also growing rapidly at the same time. The adjustable loads on the distribution network side can provide adjustment capabilities for new energy on the distribution network and transmission network side. However, due to the large number of entities, small single-unit capacity, and extremely large number of adjustable loads on the distribution network, centralized regulation is difficult, and user loads vary greatly with energy consumption behavior, meteorological changes, and the physical system to which the loads belong, and have certain uncertainties. Since the power market mechanism is not yet sound, the utilization of adjustable loads on the distribution network is not sufficient.

[0004] Compared with the power plant and large-scale energy storage on the source side, the adjustable capacity of the distribution network has the advantages of low cost and high safety and reliability, but there are technical barriers in data communication and optimized operation involving massive data; there are management difficulties in obtaining control authority of the physical system to which the user load belongs. More importantly, the research on the adjustable load on the demand side mainly focuses on the spontaneous adjustment of users under price incentives, but rarely considers the boundaries of the adjustment capacity of the physical system to which the load belongs. Correspondingly, the participation of non-electric energy systems of power plants on the transmission network side in the regulation of the power system is the focus of scholars' attention. However, due to the small scale, difficulty in obtaining control authority, and difficulty in overall regulation of the non-electric energy systems of the loads on the distribution network side, people usually think that it is only necessary to mobilize the willingness of power consumers with people as the main body to participate in the regulation, but there is little attention to whether the physical system to which the load belongs can adjust the power according to the will of people, or whether it can also achieve power adjustment outside of people's will. The final consequence is that the adjustable capacity contained in the massive distributed load physical system is underestimated or overestimated.

[0005] Air source heat pump is equivalent to the indoor and outdoor unit exchange of refrigeration cycle. Compared with refrigerator control, its control needs an additional heat pump defrost control. Air source heat pump is suitable for heating in areas above zero degrees or areas with low humidity. Since the outdoor unit is used as an evaporator, it absorbs heat from the external environment, causing the water around the evaporator to release heat and solidify, and adhere to the evaporator in the form of frost, which affects the heating efficiency and leads to low energy utilization. Summary of the invention

[0006] The present invention provides an air source heat pump remote terminal response and control method based on power regulation, which is used to solve the problem that the existing air source heat pump is difficult to achieve coupled control that takes into account both power auxiliary services and its own safety, energy saving and comfort.

[0007] The present invention provides an air source heat pump remote terminal response and control method based on power regulation, comprising:

[0008] Obtain the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data of the air source heat pump;

[0009] Generate a power adjustment plan based on the preset production plan, combined with the power system peak load and frequency regulation auxiliary needs and the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data;

[0010] Generate automated instructions according to the power adjustment plan and preset power regulation assessment indicators;

[0011] The automation instruction changes the operating power of the air source heat pump in a variety of ways during execution to generate a regulation result;

[0012] According to the adjustment result, the demand response plan is adjusted and modified by dynamically planning through a preset correction model to dynamically adjust the operating power of the air source heat pump.

[0013] According to a remote terminal response and control method for an air source heat pump based on power regulation provided by the present invention, the power adjustment plan is generated according to the preset production plan combined with the operating power data, specifically including:

[0014] Obtain the overall optimization dispatching instructions issued by the upper transmission network to the substation;

[0015] Sending distributed control instructions from the substation to distributed loads at all levels according to the optimized dispatching instructions;

[0016] The dispersed load generates a power adjustment plan by combining the distributed control instructions and the operating power data of the air source heat pump.

[0017] According to a remote terminal response and control method for an air source heat pump based on power regulation provided by the present invention, the distributed load generates a power adjustment plan in combination with the distributed control instructions and the operating power data of the air source heat pump, including:

[0018] The demand response plan is applicable to the hierarchical centralized-distributed optimization of the distribution network in the ultra-large-scale power system, which is a centralized optimization for the upper distribution network and a distributed optimization for the lower load;

[0019] Distribution network automation - intelligent terminal equipment in the substation adopts centralized optimization, and substation - flexible load adopts distributed optimization; hierarchical distributed optimization;

[0020] After the air source heat pump can select the peak shaving and frequency regulation modes, it can participate in the regulation with one click. This action will be recognized as participation at the upper level of the load, that is, the intelligent equipment in the substation or the distribution network automation, providing hardware support for decentralization, so that the distributed optimization of the distribution network can rely on a complete hardware system.

[0021] According to a remote terminal response and control method of an air source heat pump based on power regulation provided by the present invention, an automatic instruction is generated according to the power adjustment plan and the preset power regulation assessment index, specifically including:

[0022] The preset power regulation assessment indicators include: regulation capacity and response speed required for power regulation;

[0023] Merging the power adjustment plan with the regulation capacity and response speed required for the power regulation to generate a fusion result;

[0024] Based on the fusion result, the operating parameters of the heating and power generation units are quantitatively adjusted according to the renewable energy consumption target, and automation instructions are generated.

[0025] According to a remote terminal response and control method for an air source heat pump based on power regulation provided by the present invention, the automation instruction changes the operating power of the air source heat pump in a variety of ways during execution to generate a regulation result, specifically including:

[0026] The automation instruction performs at least one of indoor temperature setting value change, fan speed setting, fixed frequency compressor start-up action, variable frequency compressor frequency adjustment, working fluid pump adjustment, refrigerant mass flow setting, thermal expansion valve opening setting, and electromagnetic expansion valve opening setting;

[0027] By changing the power of the air source heat pump, the temperature is changed and the adjustment result is generated.

[0028] According to a remote terminal response and control method for an air source heat pump based on power regulation provided by the present invention, the demand response plan is adjusted and modified by a preset correction model according to the adjustment result, and the operating power of the air source heat pump is dynamically adjusted, specifically including:

[0029] Feeding back the mediation result to the preset correction model;

[0030] The correction model generates a dynamic programming algorithm through a rolling correction plan for peak-shaving and frequency regulation and a day-ahead dynamic adjustment of peak-shaving and frequency regulation based on artificial intelligence;

[0031] The operating power of the air source heat pump is dynamically adjusted according to the dynamic programming algorithm to meet usage requirements.

[0032] According to a remote terminal response and control method of an air source heat pump based on power regulation provided by the present invention, the correction model generates a dynamic programming algorithm through a rolling correction plan of peak-shaving and frequency regulation and a day-ahead dynamic adjustment of peak-shaving and frequency regulation based on artificial intelligence, specifically including:

[0033] The rolling revision plan of peak and frequency regulation amends the original power adjustment plan by combining the real-time status data;

[0034] The artificial intelligence-based peak-shaving and frequency-regulating dynamic adjustment generates a dynamic programming algorithm to modify the original power adjustment plan through historical status data.

[0035] The present invention also provides an air source heat pump remote terminal response and control system based on power regulation, the system comprising:

[0036] A data acquisition module is used to obtain the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data of the air source heat pump;

[0037] A planning module, for generating a power adjustment plan according to a preset production plan in combination with the power system peak load regulation, frequency regulation auxiliary needs and the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data;

[0038] An instruction generation module, used to generate an automation instruction according to the power adjustment plan and preset power regulation assessment indicators;

[0039] An execution module, used for changing the operating power of the air source heat pump through multiple ways during the execution of the automation instruction to generate a regulation result;

[0040] The correction module is used to dynamically plan and adjust the demand response plan according to the adjustment result through a preset correction model, and dynamically adjust the operating power of the air source heat pump.

[0041] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the remote terminal response and control method of an air source heat pump based on power regulation as described in any one of the above is implemented.

[0042] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described methods for remote terminal response and control of an air source heat pump based on power regulation.

[0043] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the remote terminal response and control method of an air source heat pump based on power regulation as described in any one of the above is implemented.

[0044] The present invention provides a remote terminal response and control method for air source heat pump based on power regulation. After obtaining the operating power data of the air source heat pump, relevant constraints are made according to the preset production plan to generate a demand response plan, and automatic instructions are executed according to the demand response plan and power regulation assessment indicators. The operating power of the air source heat pump is adjusted through the operation of multiple components. In addition to meeting the heating demand, domestic water can also be heated to meet multiple needs. Dynamic adjustment is performed by correcting the model to maximize the energy utilization rate of the air source heat pump, obtain continuous optimization, and determine the best working mode. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 It is one of the flow charts of a remote terminal response and control method of an air source heat pump based on power regulation provided by the present invention;

[0047] Figure 2 This is the second flow chart of a remote terminal response and control method of an air source heat pump based on power regulation provided by the present invention;

[0048] Figure 3 This is the third flow chart of a remote terminal response and control method of an air source heat pump based on power regulation provided by the present invention;

[0049] Figure 4This is a fourth flow chart of a remote terminal response and control method of an air source heat pump based on power regulation provided by the present invention;

[0050] Figure 5 This is the fifth flow chart of a remote terminal response and control method of an air source heat pump based on power regulation provided by the present invention;

[0051] Figure 6 It is a module connection diagram of a remote terminal response and control system of an air source heat pump based on power regulation provided by the present invention;

[0052] Figure 7 It is a structural schematic diagram of the electronic device provided by the present invention.

[0053] Reference numerals:

[0054] 110: data acquisition module; 120: planning module; 130: instruction generation module; 140: execution module; 150: correction module;

[0055] 710: processor; 720: communication interface; 730: memory; 740: communication bus. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] The air source heat pump is equivalent to the indoor and outdoor unit exchange of the refrigeration cycle. Compared with the refrigerator control, its control adds a heat pump defrost control. In addition, you can consider adding an energy efficiency optimization control. The air source heat pump is suitable for heating in areas above zero degrees or areas with low humidity. Since the outdoor unit is used as an evaporator, the water around the evaporator releases heat and solidifies due to the heat absorption from the external environment, and adheres to the evaporator in the form of frost. Therefore, consider using auxiliary electric heating and exhaust air energy recovery for defrosting operations.

[0058] Combine the following Figure 1-Figure 5 The present invention describes a remote terminal response and control method of an air source heat pump based on power regulation, comprising:

[0059] S100, obtaining the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data of the air source heat pump;

[0060] S200, generating a power adjustment plan according to a preset production plan in combination with the power system peak load regulation, frequency regulation auxiliary demand and the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data;

[0061] S300, generating an automation instruction according to the power adjustment plan and preset power regulation assessment indicators;

[0062] S400, the automation instruction changes the operating power of the air source heat pump in a variety of ways during execution to generate an adjustment result;

[0063] S500: According to the adjustment result, the demand response plan is adjusted and corrected by dynamically planning through a preset correction model, and the operating power of the air source heat pump is dynamically adjusted.

[0064] Generate a power adjustment plan according to the preset production plan and the operating power data, specifically including:

[0065] S201, obtaining the overall optimization dispatching instruction issued by the upper-level transmission network to the substation;

[0066] S202, issuing distributed control instructions from the substation to distributed loads at all levels according to the optimized dispatching instructions;

[0067] S203: The distributed load generates a power adjustment plan in combination with the distributed control instruction and the operating power data of the air source heat pump.

[0068] The present invention includes switch state recognition for air source heat pumps to participate in power system regulation with one click, a receiving end for frequency difference or power regulation demand sent from an upper layer, air source heat pumps to obtain power adjustment plans according to upper layer demand, an air source heat pump automation instruction execution mechanism taking into account indicators such as peak load regulation and frequency regulation and safety constraints, actual actions of heat pump components, feedback values ​​of actual heat supply of heat pumps, changes in actual electric power consumption of heat pumps, exit and recovery mechanisms for heat pumps to participate in auxiliary services (grid regulation), and market settlement mechanisms for heat pumps to participate in auxiliary services.

[0069] The air source heat pump obtains the power adjustment plan according to the upper demand response, and the air source heat pump automatic instruction execution mechanism taking into account the peak load and frequency regulation and other indicators and safety constraints. Among them, the power adjustment plan obtained by the air source heat pump according to the upper power system regulation demand depends on the overall optimization operation control mode of the power demand response or auxiliary service on the distribution network side. Possible methods include pure distributed optimization considering decentralization, distributed optimization based on blockchain consensus mechanism, hierarchical centralized-distributed optimization, centralized optimization, decomposition and coordination optimization, and differential regulation decentralized control similar to the primary frequency regulation of generators. The adjustment plan of the air source heat pump is obtained through optimization based on the ideas of the above six methods respectively;

[0070] The present invention mainly generates demand response adjustment plans through hierarchical centralized-distributed optimization. In the hierarchical centralized-distributed optimization of the distribution network in the ultra-large-scale power system, it is centralized optimization for the upper part, and it will be decomposed into distributed optimization for the lower part. Distribution network automation-centralized optimization of intelligent terminal equipment in the substation area, hierarchical distributed optimization of the substation area-flexible load distributed optimization. After determining the total demand sent by the upper transmission network, the substations at all levels are dynamically allocated to meet the total demand constraints.

[0071] The distributed load combines the distributed control instructions and the operating power data of the air source heat pump to generate a power adjustment plan, including:

[0072] The demand response plan is applicable to the hierarchical centralized-distributed optimization of the distribution network in the ultra-large-scale power system, which is a centralized optimization for the upper distribution network and a distributed optimization for the lower load;

[0073] Distribution network automation - intelligent terminal equipment in the substation adopts centralized optimization, and substation - flexible load adopts distributed optimization; hierarchical distributed optimization;

[0074] After the air source heat pump can select the peak shaving and frequency regulation modes, it can participate in the regulation with one click. This action will be recognized as participation at the upper level of the load, that is, the intelligent equipment in the substation or the distribution network automation, providing hardware support for decentralization, so that the distributed optimization of the distribution network can rely on a complete hardware system.

[0075] Generate automatic instructions according to the power adjustment plan and the preset power adjustment assessment indicators, specifically including:

[0076] S301, the preset power regulation assessment indicators include: regulation capacity and response speed required for power regulation;

[0077] S302: integrating the power adjustment plan with the adjustment capacity and response speed required for the power adjustment to generate an integration result;

[0078] S303: Based on the fusion result, the operating parameters of the heating and power generation units are quantitatively adjusted according to the renewable energy consumption target, and an automation instruction is generated.

[0079] The air source heat pump automation command execution taking into account peak load and frequency regulation in the present invention is obtained by improving the existing air source heat pump refrigeration automation control process based on the regulation plan and the regulation capacity and response speed required by power regulation. The possible execution process includes: indoor temperature setting value change, fan wind speed setting, fixed frequency compressor start action, variable frequency compressor frequency adjustment, working fluid pump adjustment, refrigerant mass flow setting, thermal expansion valve opening setting, and electromagnetic expansion valve opening setting. The state variables affected by the execution process include compressor outlet temperature and pressure, condensing temperature and pressure, and refrigerant mass flow.

[0080] During the execution process, the automation instructions change the operating power of the air source heat pump in a variety of ways to generate adjustment results, including:

[0081] S401, the automation instruction performs at least one of changing the indoor temperature setting value, setting the fan speed, starting the fixed frequency compressor, adjusting the frequency of the variable frequency compressor, adjusting the working fluid pump, setting the refrigerant mass flow rate, setting the thermal expansion valve opening, and setting the electromagnetic expansion valve opening;

[0082] S402: Change the power of the air source heat pump to change the temperature and generate an adjustment result.

[0083] According to the adjustment result, the demand response plan is adjusted and modified by a preset correction model through dynamic planning, and the operating power of the air source heat pump is dynamically adjusted, specifically including:

[0084] S501, feeding back the mediation result to the preset correction model;

[0085] S502, the correction model generates a dynamic programming algorithm through a rolling correction plan for peak-shaving and frequency regulation and a day-ahead dynamic adjustment of peak-shaving and frequency regulation based on artificial intelligence;

[0086] S503. Dynamically adjust the operating power of the air source heat pump according to the dynamic programming algorithm to meet usage requirements.

[0087] The air source heat pump remote terminal operation control method directly embedded in local automation proposed in the present invention provides a physical support technology from the distribution network load side terminal to help the operator to participate in the electricity market, because the start and stop of the terminal physical system and the power increase and decrease are not only subject to human will, but also depend to a great extent on the operation characteristics of the physical system to which the load belongs and the corresponding optimized operation control method. The remote terminal control device can realize a mode similar to that of the generator of the transmission network participating in peak load regulation and frequency regulation, but takes into account the characteristics of the massive distributed load of the distribution network, and builds the distributed optimization, centralized optimization, and decomposition and coordination optimization of the distribution network into the remote terminal control device, providing a diversified control mode for the distribution network power demand response. The remote terminal is for distribution network automation and transmission network dispatching. In the process of thermal power participating in the peak load regulation and frequency regulation of the power system, it includes power system dispatching, power plant distributed control system, remote terminal control unit and coordinated control system. The massive and dispersed characteristics of the distribution network load determine that it is impossible to achieve a model that is completely the same as that of the transmission network, but it is also necessary to realize the regulation of each terminal load through distributed optimization. Since the physical system to which the load belongs is usually relatively simple, the functional modules of the distributed control system and the coordinated control system can be integrated into the remote terminal control unit. The function of the air source heat pump's demand response regulation plan based on the upper-level demand is similar to that of the distributed control system, and the air source heat pump automation command execution agency that takes into account peak-shaving, frequency regulation or other regulation needs is similar to the function of the coordinated control system.

[0088] The correction model generates a dynamic programming algorithm through the rolling correction plan of peak-shaving and frequency regulation and the dynamic adjustment of peak-shaving and frequency regulation based on artificial intelligence, including:

[0089] The rolling revision plan of peak and frequency regulation amends the original power adjustment plan by combining the real-time status data;

[0090] The artificial intelligence-based peak-shaving and frequency-regulating dynamic adjustment generates a dynamic programming algorithm to modify the original power adjustment plan through historical status data.

[0091] The present invention proposes a dynamic planning algorithm for heat pumps for auxiliary services. The power market on the distribution network side is composed of a large number of dispersed adjustable resources, and it is difficult to obtain the optimal operation mode. The air source heat pump can be dynamically planned hourly through artificial intelligence algorithms to obtain a suboptimal dynamic planning strategy. It aims to coordinate the contradiction between releasing the adjustment capacity at the beginning and the end, and propose a dynamic planning method for air source heat pumps to participate in the adjustment with better overall adjustment capacity.

[0092] In terms of the final implementation form, in the future, the operating modes of each air source heat pump should include "peak shaving", "frequency regulation", "voltage protection" and other operating modes, which are parallel to the "dehumidification", "heating", "cooling", "air supply" and other modes. The difference is that these modes are local responses to the regulation needs of the networked power grid. The power grid information is downloaded to the local area through the Internet, information communication, distributed control of intelligent terminal equipment in the substation, and other technologies. An automatic control method for air source heat pumps taking into account the power regulation needs is proposed, and it is implemented through the regulation and control of working fluid pumps, fans and compressors.

[0093] This method can be embedded through heat pump manufacturers or third-party remodelers who can ensure safety, because the ports of refrigeration automation are usually not open to ordinary users, and various adjustment modes need to consider the safety and reliability of the heat pump itself. Therefore, the adjustment demand is embedded as an optimization goal of local air source heat pump automation, but it is still executed under the safety constraints of the heat pump. This method is a key link in achieving bottom-up optimization of distribution network operation. The remote terminal control mode and unit proposed in the present invention also incorporate the action of power system regulation under the premise of ensuring the safety of heat pump operation, and can achieve interconnection with the edge computing of the substation cluster and the automation of the distribution network, and can achieve response, regulation and distribution network The more accurate perception of the ability to regulate massive loads.

[0094] The present invention provides a remote terminal response and control method for air source heat pump based on power regulation. After obtaining the operating power data of the air source heat pump, relevant constraints are made according to the preset production plan to generate a demand response plan, and automatic instructions are executed according to the demand response plan and power regulation assessment indicators. The operating power of the air source heat pump is adjusted through the operation of multiple components. In addition to meeting the heating demand, domestic water can also be heated to meet multiple needs. Dynamic adjustment is performed by correcting the model to maximize the energy utilization rate of the air source heat pump, obtain continuous optimization, and determine the best working mode.

[0095] refer to Figure 6 The present invention also discloses a remote terminal response and control system for an air source heat pump based on power regulation, the system comprising:

[0096] The data acquisition module 110 is used to obtain the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data of the air source heat pump;

[0097] Planning module 120, for generating a power adjustment plan according to a preset production plan in combination with the power system peak load regulation, frequency regulation auxiliary demand and the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data;

[0098] The instruction generation module 130 is used to generate an automation instruction according to the power adjustment plan and the preset power regulation assessment index;

[0099] An execution module 140, used for changing the operating power of the air source heat pump through multiple ways during the execution of the automation instruction to generate an adjustment result;

[0100] The correction module 150 is used to dynamically plan and adjust the demand response plan according to the adjustment result through a preset correction model, and dynamically adjust the operating power of the air source heat pump.

[0101] Among them, the planning module 120 obtains the overall optimization dispatching instruction issued by the upper-level transmission network to the substation;

[0102] Sending distributed control instructions from the substation to distributed loads at all levels according to the optimized dispatching instructions;

[0103] The dispersed load generates a power adjustment plan by combining the distributed control instructions and the operating power data of the air source heat pump.

[0104] The command generation module 130 includes the preset power regulation assessment indicators: the regulation capacity and response speed required for power regulation;

[0105] Merging the power adjustment plan with the regulation capacity and response speed required for the power regulation to generate a fusion result;

[0106] Based on the fusion result, the operating parameters of the heating and power generation units are quantitatively adjusted according to the renewable energy consumption target, and automation instructions are generated.

[0107] The execution module 140 performs at least one of changing the indoor temperature setting value, setting the fan speed, starting the fixed frequency compressor, adjusting the frequency of the variable frequency compressor, adjusting the working fluid pump, setting the refrigerant mass flow rate, setting the thermal expansion valve opening, and setting the electromagnetic expansion valve opening in accordance with the automated instruction;

[0108] By changing the power of the air source heat pump, the temperature is changed and the adjustment result is generated.

[0109] A correction module 150, feeding back the mediation result to the preset correction model;

[0110] The correction model generates a dynamic programming algorithm through a rolling correction plan for peak-shaving and frequency regulation and a day-ahead dynamic adjustment of peak-shaving and frequency regulation based on artificial intelligence;

[0111] The operating power of the air source heat pump is dynamically adjusted according to the dynamic programming algorithm to meet usage requirements.

[0112] The rolling revision plan of peak and frequency regulation amends the original power adjustment plan by combining the real-time status data;

[0113] The artificial intelligence-based peak-shaving and frequency-regulating dynamic adjustment generates a dynamic programming algorithm to modify the original power adjustment plan through historical status data.

[0114] Through the air source heat pump remote terminal response and control system based on power regulation provided by the present invention, after obtaining the air source heat pump operating power data, relevant constraints are made according to the preset production plan, a demand response plan is generated, and automatic instructions are executed according to the demand response plan and power regulation assessment indicators. The air source heat pump operating power is adjusted through the work of multiple components. In addition to meeting the heating demand, domestic water can also be heated to meet multiple needs. Dynamic adjustment is performed by correcting the model to maximize the energy utilization of the air source heat pump, obtain continuous optimization, and determine the best working mode.

[0115] Figure 7 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 7 As shown, the electronic device may include: a processor 710, a communication interface 720, a memory 730 and a communication bus 740, wherein the processor 710, the communication interface 720 and the memory 730 communicate with each other through the communication bus 740. The processor 710 may call the logic instructions in the memory 730 to execute a remote terminal response and control method of an air source heat pump based on power regulation, the method comprising: obtaining the operating conditions, heat load, power consumption, indoor temperature and heating hot water temperature data of the air source heat pump;

[0116] Generate a power adjustment plan based on the preset production plan, combined with the power system peak load and frequency regulation auxiliary needs and the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data;

[0117] Generate automated instructions according to the power adjustment plan and preset power regulation assessment indicators;

[0118] The automation instruction changes the operating power of the air source heat pump in a variety of ways during execution to generate a regulation result;

[0119] According to the adjustment result, the demand response plan is adjusted and modified by dynamically planning through a preset correction model to dynamically adjust the operating power of the air source heat pump.

[0120] In addition, the logic instructions in the above-mentioned memory 730 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0121] On the other hand, the present invention also provides a computer program product, the computer program product includes a computer program, the computer program can be stored in a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute a remote terminal response and control method of an air source heat pump based on power regulation provided by the above methods, the method includes: obtaining the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data of the air source heat pump;

[0122] Generate a power adjustment plan based on the preset production plan, combined with the power system peak load and frequency regulation auxiliary needs and the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data;

[0123] Generate automated instructions according to the power adjustment plan and preset power regulation assessment indicators;

[0124] The automation instruction changes the operating power of the air source heat pump in a variety of ways during execution to generate a regulation result;

[0125] According to the adjustment result, the demand response plan is adjusted and modified by dynamically planning through a preset correction model to dynamically adjust the operating power of the air source heat pump.

[0126] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to execute a remote terminal response and control method for an air source heat pump based on power regulation provided by the above methods, the method comprising: obtaining operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data of the air source heat pump;

[0127] Generate a power adjustment plan based on the preset production plan, combined with the power system peak load and frequency regulation auxiliary needs and the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data;

[0128] Generate automated instructions according to the power adjustment plan and preset power regulation assessment indicators;

[0129] The automation instruction changes the operating power of the air source heat pump in a variety of ways during execution to generate a regulation result;

[0130] According to the adjustment result, the demand response plan is adjusted and modified by dynamically planning through a preset correction model to dynamically adjust the operating power of the air source heat pump.

[0131] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0132] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for controlling the operation of a remote terminal of an air source heat pump based on power regulation, characterized in that: include: Obtain the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data of the air source heat pump; Generate a power adjustment plan based on the preset production plan, combined with the power system peak load and frequency regulation auxiliary needs and the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data; Generate automated instructions according to the power adjustment plan and preset power regulation assessment indicators; The automation instruction changes the operating power of the air source heat pump in a variety of ways during execution to generate a regulation result; According to the adjustment result, a demand response plan is adjusted and modified by a preset correction model, and the operating power of the air source heat pump is dynamically adjusted; The power adjustment plan is generated according to the preset production plan in combination with the power system peak load regulation, frequency regulation auxiliary demand and the operating conditions, heat load, power consumption, indoor temperature and heating hot water temperature data, specifically including: Obtain the overall optimization dispatching instructions issued by the upper transmission network to the substation; Sending distributed control instructions from the substation to distributed loads at all levels according to the optimized dispatching instructions; The dispersed load generates a power adjustment plan in combination with the distributed control instructions and the operating power data of the air source heat pump; Generate automatic instructions according to the power adjustment plan and the preset power adjustment assessment indicators, specifically including: The preset power regulation assessment indicators include: regulation capacity and response speed required for power regulation; Merging the power adjustment plan with the regulation capacity and response speed required for the power regulation to generate a fusion result; Based on the fusion results, the operation parameters of the heating and power generation units are quantitatively adjusted according to the renewable energy consumption target, and automation instructions are generated; According to the adjustment result, a preset correction model is used to dynamically plan and adjust the demand response plan, and the operating power of the air source heat pump is dynamically adjusted, specifically including: Feeding back the adjustment result to the preset correction model; The correction model generates a dynamic programming algorithm through a rolling correction plan for peak-shaving and frequency regulation and a day-ahead dynamic adjustment of peak-shaving and frequency regulation based on artificial intelligence; The operating power of the air source heat pump is dynamically adjusted according to the dynamic programming algorithm to meet usage requirements.

2. The air source heat pump remote terminal operation control method based on power regulation according to claim 1 is characterized in that: The distributed load generates a power adjustment plan by combining the distributed control instructions and the operating power data of the air source heat pump, including: The demand response plan is applicable to the hierarchical centralized-distributed optimization of the distribution network in the ultra-large-scale power system, which is a centralized optimization for the upper distribution network and a distributed optimization for the lower load; Distribution network automation - intelligent terminal equipment in the substation adopts centralized optimization, and substation - flexible load adopts distributed optimization; hierarchical distributed optimization; After the air source heat pump can select the peak shaving and frequency regulation modes, it can participate in the regulation with one click. This action will be recognized as participation at the upper level of the load, that is, the intelligent equipment in the substation or the distribution network automation, providing hardware support for decentralization, so that the distributed optimization of the distribution network can rely on a complete hardware system.

3. The air source heat pump remote terminal operation control method based on power regulation according to claim 1 is characterized in that: The automation instruction changes the operating power of the air source heat pump in a variety of ways during execution to generate adjustment results, including: The automation instruction performs at least one of indoor temperature setting value change, fan speed setting, fixed frequency compressor start-up action, variable frequency compressor frequency adjustment, working fluid pump adjustment, refrigerant mass flow setting, thermal expansion valve opening setting, and electromagnetic expansion valve opening setting; By changing the power of the air source heat pump, the temperature is changed and the adjustment result is generated.

4. The air source heat pump remote terminal operation control method based on power regulation according to claim 1 is characterized in that: The correction model generates a dynamic programming algorithm through a rolling correction plan for peak-shaving and frequency regulation and a day-ahead dynamic adjustment of peak-shaving and frequency regulation based on artificial intelligence, specifically including: The rolling revision plan of peak and frequency regulation amends the original power adjustment plan by combining the real-time status data; The artificial intelligence-based peak-shaving and frequency-regulating dynamic adjustment generates a dynamic programming algorithm to modify the original power adjustment plan through historical status data.

5. An air source heat pump remote terminal operation control system based on power regulation, which is used in the air source heat pump remote terminal operation control method based on power regulation according to any one of claims 1 to 4, characterized in that: The system comprises: A data acquisition module is used to obtain the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data of the air source heat pump; A planning module, for generating a power adjustment plan according to a preset production plan in combination with the power system peak load regulation, frequency regulation auxiliary needs and the operating conditions, heat load, power consumption, indoor temperature, and heating hot water temperature data; An instruction generation module, used to generate an automation instruction according to the power adjustment plan and preset power regulation assessment indicators; An execution module, used for changing the operating power of the air source heat pump through multiple ways during the execution of the automation instruction to generate a regulation result; A correction module, used to dynamically plan and adjust the demand response plan through a preset correction model according to the adjustment result, and dynamically adjust the operating power of the air source heat pump; The power adjustment plan is generated according to the preset production plan in combination with the power system peak load regulation, frequency regulation auxiliary demand and the operating conditions, heat load, power consumption, indoor temperature and heating hot water temperature data, specifically including: Obtain the overall optimization dispatching instructions issued by the upper transmission network to the substation; Sending distributed control instructions from the substation to distributed loads at all levels according to the optimized dispatching instructions; The dispersed load generates a power adjustment plan in combination with the distributed control instructions and the operating power data of the air source heat pump; Generate automatic instructions according to the power adjustment plan and the preset power adjustment assessment indicators, specifically including: The preset power regulation assessment indicators include: regulation capacity and response speed required for power regulation; Merging the power adjustment plan with the regulation capacity and response speed required for the power regulation to generate a fusion result; Based on the fusion results, the operation parameters of the heating and power generation units are quantitatively adjusted according to the renewable energy consumption target, and automation instructions are generated; According to the adjustment result, a preset correction model is used to dynamically plan and adjust the demand response plan, and the operating power of the air source heat pump is dynamically adjusted, specifically including: Feeding back the adjustment result to the preset correction model; The correction model generates a dynamic programming algorithm through a rolling correction plan for peak-shaving and frequency regulation and a day-ahead dynamic adjustment of peak-shaving and frequency regulation based on artificial intelligence; The operating power of the air source heat pump is dynamically adjusted according to the dynamic programming algorithm to meet usage requirements.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the air source heat pump remote terminal operation control method based on power regulation as described in any one of claims 1 to 4 is implemented.

7. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the air source heat pump remote terminal operation control method based on power regulation as described in any one of claims 1 to 4 is implemented.

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