Method, device and equipment for determining demand response strategy of central air conditioner and medium

Abstract

The invention provides a demand response strategy determination method and device for a central air conditioner, equipment and a medium, and the method comprises the steps that a cooling load prediction value needed by a tail end is determined based on a first weather prediction parameter corresponding to a demand response time period; based on the mass of water stored in the water supply pipe, the mass of water stored in the water return pipe, the water supply temperature upper and lower limits of the water supply pipe and the water return temperature upper and lower limits of the water return pipe, the system cold storage capacity is determined; based on the cold load predicted value and the system cold storage capacity, the power consumption of the refrigerating system is determined; determining a response capacity predicted value based on the cold load predicted value, the system cold storage capacity and the refrigerating system power consumption; determining a target demand response strategy based on the response capacity predicted value, the bid-winning response capacity issued by the organizer, the electric power price and the first demand response strategy; the target demand response strategy is the demand response strategy with the maximum income. According to the invention, the evaluation response capability is improved, and the rationality, accuracy and income of the demand response strategy are further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of central air conditioning, and in particular to a method, device, equipment and medium for determining a demand response strategy for a central air conditioning. Background Art

[0002] Demand Response (DR), short for electricity demand response, refers to the short-term behavior of electricity users changing their inherent habitual electricity consumption patterns to respond to electricity supply by reducing or shifting their electricity load during a certain period after receiving a direct compensation notice from the power supplier to induce load reduction or a signal of electricity price increase when the wholesale electricity market price rises or the system reliability is threatened, thereby ensuring the stability of the power grid and suppressing the increase in electricity prices.

[0003] According to the demand response organization process, the participation of flexible resources in demand response includes four steps: evaluating response capabilities, formulating response strategies, executing response strategies, and evaluating response strategies. The purpose of evaluating response capabilities is to report quantities and quote prices to demand response organizers. Formulating response strategies is to formulate load adjustment strategies or strategy combinations based on load characteristics and constraints such as maximizing response benefits, under the premise of ensuring that the terminal user experience is not affected or is affected as little as possible. However, the control strategies of existing central air-conditioning systems when participating in demand response mostly rely on on-site operations of operating personnel. The accuracy of the evaluated response capabilities and the rationality of the formulated response strategies are highly dependent on personnel experience and lack subjectivity, resulting in inaccurate evaluation of response capabilities, further reducing the rationality and accuracy of demand response strategies. Summary of the Invention

[0004] The present invention provides a method, device, equipment and medium for determining a demand response strategy for a central air conditioner, which is used to solve the problem in the prior art that the response capability is evaluated and the demand response strategy is formulated by relying on on-site operations of operators, resulting in inaccurate evaluation of the response capability and further reducing the rationality and accuracy of the demand response strategy. The method improves the evaluation of the response capability and further improves the rationality, accuracy and benefits of the demand response strategy.

[0005] The present invention provides a method for determining a demand response strategy for a central air conditioner, comprising: Determining a cooling load forecast value required by the terminal of the central air conditioner based on a first meteorological forecast parameter corresponding to a demand response period; Determining a system cooling capacity of the central air conditioner based on the mass of water stored in the water supply pipe of the central air conditioner, the mass of water stored in the water return pipe of the central air conditioner, the upper and lower limits of the water supply temperature of the water supply pipe, and the upper and lower limits of the return temperature of the water return pipe; Determining the power consumption of the refrigeration system of the central air conditioner based on the cooling load prediction value and the cold storage capacity of the system; Determining a response capacity prediction value of the central air conditioner based on the cooling load prediction value, the system cold storage capacity, and the power consumption of the refrigeration system; Based on the response capacity forecast value, the winning response capacity published by the organizer, the electricity price and the first demand response strategy, a target demand response strategy is determined; the target demand response strategy is the demand response strategy with the greatest benefit, and the first demand response strategy is the demand response strategy determined before the demand response period.

[0006] According to a method for determining a demand response strategy for a central air conditioner provided by the present invention, the target demand response strategy is determined based on the response capacity prediction value, the winning response capacity published by the organizer, the electricity price and the first demand response strategy; the method includes: determining at least one actual response capacity based on the response capacity prediction value; determining the response benefit corresponding to each of the actual response capacities based on the winning response capacity, the actual response capacity and the response benefit rule; the response benefit rule is used to characterize the response benefit corresponding to the interval in which different actual response capacities are located; determining the additional cost corresponding to the central air conditioner at different stages; determining the target actual response capacity from each of the actual response capacities as the second demand response strategy based on the response benefit and the additional cost corresponding to the different stages; and determining the target demand response strategy based on the first demand response strategy and the second demand response strategy.

[0007] According to a method for determining a demand response strategy for a central air conditioner provided by the present invention, the target actual response capacity is determined from each of the actual response capacities as the second demand response strategy based on the response benefit and the additional costs corresponding to the different stages, including: determining the target benefit corresponding to each of the actual response capacities based on the response benefit and the additional costs corresponding to the different stages; and determining the actual response capacity with the largest target benefit as the target actual response capacity as the second demand response strategy.

[0008] According to a method for determining a demand response strategy for a central air conditioner provided by the present invention, the additional cost includes a first additional cost, a second additional cost, a third additional cost, and a fourth additional cost. The determining of the additional costs corresponding to the central air conditioner at different stages includes: determining the first additional cost based on the system response power within a predicted response period, the baseline load within the predicted response period, the duration of the predicted response segment, the electricity price within the predicted response segment, and the benchmark electricity price within the predicted response segment; determining the second additional cost based on the system power consumption of the central air conditioner in a demand response preparation period, the system power consumption in a non-demand response preparation period, the duration of the preparation period, and the electricity price within the preparation period; determining the third additional cost based on the system power consumption of the central air conditioner in a demand response recovery period, the system power consumption in a non-demand response recovery period, the duration of the recovery period, and the electricity price within the recovery period; and determining the fourth additional cost based on the cold capacity stored in a cold storage tank of the central air conditioner at the start of the demand response, the cold capacity stored in the cold storage tank at the end of the demand response, and the cost corresponding to the unit cold capacity stored in the cold storage tank.

[0009] According to a method for determining a demand response strategy for a central air conditioner provided by the present invention, the power consumption of the refrigeration system of the central air conditioner is determined based on the cooling load prediction value and the system cold storage capacity, including: determining a first power at which the pipelines of the central air conditioner and the cold storage tank of the central air conditioner jointly release cold capacity based on the system cold storage capacity and the duration of the demand response; determining the cooling load provided by the refrigeration machine of the central air conditioner based on the first power; determining the power consumption of the refrigeration host system of the central air conditioner, the power consumption of the cooling water circulation pump of the central air conditioner and the power consumption of the cooling tower of the central air conditioner based on the cooling load and the first meteorological forecast parameter; determining the power consumption of the chilled water circulation pump of the central air conditioner based on the cooling load prediction value and the first meteorological forecast parameter; determining the power consumption of the refrigeration system based on the power consumption of the refrigeration host system, the power consumption of the cooling water circulation pump, the power consumption of the cooling tower and the power consumption of the chilled water circulation pump.

[0010] According to a method for determining a demand response strategy for a central air conditioner provided by the present invention, after determining the target demand response strategy based on the response capacity prediction value, the winning response capacity published by the organizer and the electricity price, the method further includes: determining a temperature change value based on the cooling load prediction value required by the terminal of the central air conditioner in the next response period, the cooling power released by the cold storage tank of the central air conditioner in the next response period, the cooling power provided by the refrigeration host of the central air conditioner in the next response period and the chilled water circulation flow of the central air conditioner in the next response period; determining a second chilled water supply temperature at the end of the next response period based on the temperature change value and the first chilled water supply temperature of the central air conditioner after the end of the current response period; determining a second chilled water return temperature at the end of the next response period based on the temperature change value and the first chilled water return temperature of the central air conditioner after the end of the current response period; and re-updating the target demand response strategy when the second chilled water supply temperature and / or the second chilled water return temperature are greater than their respective corresponding thresholds.

[0011] According to a method for determining a demand response strategy for a central air conditioner provided by the present invention, before determining the cooling load forecast value required by the terminal of the central air conditioner based on the first meteorological forecast parameter corresponding to the demand response period, the method also includes: in the demand response invitation issuance stage, based on the second meteorological forecast parameter of the invitation issuance stage and the response capability evaluation model, determining the second response capacity forecast value of the invitation issuance stage and reporting it to the organizer; the second response capacity forecast value is used by the organizer to determine the winning response capacity and the electricity price; in the demand response day-ahead stage, determining the first demand response strategy based on the third meteorological forecast parameter corresponding to the day-ahead stage, the response capability evaluation model, the demand response rule, the winning response capacity and the electricity price.

[0012] The present invention also provides a demand response strategy determination module for a central air conditioner, comprising the following modules: A first determining module is configured to determine a cooling load prediction value required by a terminal of the central air conditioner based on a first meteorological prediction parameter corresponding to a demand response period; a second determining module, configured to determine a system cooling capacity of the central air conditioner based on a mass of water stored in a water supply pipe of the central air conditioner, a mass of water stored in a water return pipe of the central air conditioner, upper and lower limits of a water supply temperature of the water supply pipe, and upper and lower limits of a return water temperature of the return pipe; a third determining module, configured to determine the power consumption of the refrigeration system of the central air conditioner based on the cooling load prediction value and the cold storage capacity of the system; a fourth determining module, configured to determine a predicted response capacity value of the central air conditioner based on the predicted cooling load value, the system cold storage capacity, and the power consumption of the refrigeration system; The fifth determination module is used to determine the target demand response strategy based on the response capacity forecast value, the winning response capacity released by the organizer, the electricity price and the first demand response strategy; the target demand response strategy is the demand response strategy with the greatest benefit, and the first demand response strategy is the demand response strategy determined before the demand response period.

[0013] 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 computer program, the method for determining a demand response strategy for a central air conditioner as described above is implemented.

[0014] 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 determining a demand response strategy for a central air conditioner.

[0015] The present invention also provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-described methods for determining a demand response strategy for a central air conditioner.

[0016] The present invention provides a method, device, apparatus, and medium for determining a demand response strategy for a central air conditioner. The method determines a cooling load forecast value required by a terminal of the central air conditioner based on a first meteorological forecast parameter corresponding to a demand response period; determines the system cooling capacity of the central air conditioner based on the water quality stored in the central air conditioner's supply pipe, the water quality stored in the central air conditioner's return pipe, the upper and lower limits of the supply water temperature of the supply pipe, and the upper and lower limits of the return water temperature of the return pipe; determines the power consumption of the central air conditioner's refrigeration system based on the cooling load forecast value and the system cooling capacity; determines the response capacity forecast value of the central air conditioner based on the cooling load forecast value, the system cooling capacity, and the power consumption of the refrigeration system; and determines a target demand response strategy based on the response capacity forecast value, the winning response capacity announced by the organizer, the electricity price, and a first demand response strategy. The target demand response strategy is the demand response strategy with the greatest benefit. Thus, by determining the response capacity forecast value based on meteorological forecast data, the water quality stored in the supply and return pipes, the upper and lower limits of the supply water temperature, and the upper and lower limits of the return water temperature, the response assessment capability is improved, further enhancing the rationality, accuracy, and benefit of the demand response strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. 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 any creative work.

[0018] Figure 1 It is a flow chart of the method for determining the demand response strategy of the central air conditioner provided by the present invention.

[0019] Figure 2 It is a structural diagram of the demand response strategy determination device for central air conditioning provided by the present invention.

[0020] Figure 3 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0021] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0022] Existing control strategies for central air conditioning systems participating in demand response often rely on on-site operator input. The accuracy of response capacity assessments and the rationality of response strategies are heavily reliant on operator experience and subjectivity, leading to inaccurate response capacity assessments and further reducing the rationality and accuracy of demand response strategies. Furthermore, the lack of risk control leads to a high risk of uncontrolled terminal temperatures during the response process.

[0023] Based on the above problems, the demand response strategy determination method for central air conditioning provided by the present invention determines the response capacity prediction value through parameters such as meteorological forecast data, water quality stored in the supply pipe and return pipe, upper and lower limits of supply water temperature, and upper and lower limits of return water temperature, thereby improving the evaluation response capability and further improving the rationality, accuracy and benefits of the demand response strategy.

[0024] The following combination Figure 1The present invention describes a method for determining a demand response strategy for a central air conditioner. The method is applicable to demand responses including but not limited to distributed power generation side demand response, load side demand response, energy storage side demand response, peak shaving demand response, valley filling demand response, price-based demand response, incentive-based demand response, scheduled response, and real-time response. The executor of the method can be an electronic device or a method for determining a demand response strategy for a central air conditioner set in the electronic device. The demand response strategy determination device for the central air conditioner can be implemented through software, hardware, or a combination of the two.

[0025] Figure 1 : is a flow chart of a method for determining a demand response strategy for a central air conditioner provided by the present invention, such as Figure 1 As shown, the method includes the following: Step 101: Determine a cooling load forecast value required by the terminal of the central air conditioner based on a first meteorological forecast parameter corresponding to a demand response period.

[0026] Here, the first meteorological prediction parameter may include outdoor temperature, humidity, and irradiance prediction values.

[0027] Here, the method for determining the cooling load prediction value can be any appropriate value, for example, obtained based on the mapping relationship between the first meteorological parameter and the cooling load value, or for example, the neural network model directly outputs the cooling load prediction value based on the first meteorological prediction parameter.

[0028] For example, the cooling load prediction value The calculation is as follows formula (1): (1) in, Indicates the outdoor temperature in degrees Celsius (℃). Indicates outdoor humidity in percentage (%). Indicates outdoor irradiance in W / m². Indicates using historical data for learning and training.

[0029] Step 102: Determine the system cooling capacity of the central air conditioner based on the water mass stored in the water supply pipe of the central air conditioner, the water mass stored in the return pipe of the central air conditioner, the upper and lower limits of the water supply temperature of the water supply pipe, and the upper and lower limits of the return water temperature of the return pipe.

[0030] Here, the quality of water stored in the water supply pipe The calculation is as follows formula (2): (2) in, and It is The length and inner diameter of each water supply pipe are in meters (m). is the density of water in kilograms per cubic meter (kg / m³).

[0031] Here, the water quality stored in the return pipe The calculation is as follows formula (3): (3) in, and It is The length and inner diameter of each water supply pipe.

[0032] Here, the maximum water supply temperature Affects the cooling capacity and dehumidification capacity, reflects the terminal load characteristics and energy consumption behavior habits, the upper limit of the water supply temperature can be learned and trained based on the historical indoor temperature setting value and indoor relative humidity setting value, historical outdoor ambient temperature and outdoor ambient relative humidity. Depends on the characteristics of the refrigeration unit and can be obtained from the equipment manual.

[0033] Here, the lower limit of return water temperature is the minimum value The calculation is as follows formula (4): (4) in, is the lower limit of water supply temperature, is the specific heat capacity of water, which is 4.18 joules kJ / (kg•℃), The air conditioning chilled water circulation flow rate, in kilograms per second (kg / s).

[0034] Return water temperature upper limit, i.e. maximum value It refers to the return water temperature when the supply water temperature is at its maximum value under the premise of a certain cooling load level. It is an important parameter for judging the cooling effect and dehumidification effect. It can be obtained by learning and training using historical maximum temperature, historical indoor temperature setting value and indoor relative humidity setting value, historical outdoor ambient temperature, outdoor ambient relative humidity and historical cooling load forecast value.

[0035] Here, the method for determining the cold storage capacity may be any method, for example, obtaining it through a neural network model, or calculating it according to a calculation formula.

[0036] For example, the calculation system cooling capacity The following formula (5): (5) in, is the maximum cold storage capacity of the chilled water network, in kJ, It is the maximum cold storage capacity of the cold storage tank, in kJ.

[0037] Further, calculate The following formula (6): (6) Further, calculate The following formula (7): (7) in, is the water quality of the cold storage tank.

[0038] In another example, the cooling capacity that can be released by the system in the current state can also be calculated , the amount of cold that the system can store in the current state , the amount of cold that can be released by the cold storage tank in the current state And the cold storage capacity of the cold storage tank in the current state , as follows formulas (8)-(11): (8) (9) (10) (11) Step 103: Determine the power consumption of the refrigeration system of the central air conditioner based on the cooling load prediction value and the system cold storage capacity.

[0039] Here, the method for determining the power consumption of the refrigeration system may be any appropriate method, for example, by using a neural network model, or by using a calculation formula.

[0040] Further, calculate The following formula (12): (12) in, Provide cooling load for the refrigerator, is the current chilled water supply temperature, is the current chilled water return temperature, calculate The following formula (13): (13) in, The power to release cold energy to pipelines and cold storage tanks, The power of storing cold in pipelines and cold storage tanks, Indicates the type of demand response. When it is 1, it indicates peak shaving demand response, and when it is -1, it indicates valley filling virtual power plant.

[0041] In another embodiment, the cooling load can also be provided by the refrigerator. , Current chilled water supply temperature , outdoor temperature and outdoor humidity The historical data is trained to learn the refrigeration efficiency of the refrigerator The following formula (14): (14): Step 104: Determine a predicted response capacity of the central air conditioner based on the predicted cooling load value, the system cold storage capacity, and the power consumption of the refrigeration system.

[0042] Here, the method for determining the response capacity prediction value may be any appropriate method, for example, obtaining it using a neural network model, or obtaining it according to a calculation formula.

[0043] For example, the response capacity prediction value is calculated The following formula (15): (15) in, It is the baseline load during the intended response period, calculated from the process power consumption statistics, in kWh. The power consumption of the cooling system during the response period is in kW. is the duration of demand response, in seconds.

[0044] Step 105: Determine a target demand response strategy based on the response capacity prediction value, the winning response capacity published by the organizer, the electricity price, and the first demand response strategy; the target demand response strategy is the demand response strategy with the greatest benefit.

[0045] The first demand response strategy is a demand response strategy determined before the demand response period.

[0046] It should be noted that the first demand response strategy is the demand response strategy formulated before the demand response day. When the benefit corresponding to the first demand response strategy is greater than the benefit corresponding to the intraday demand response strategy, the first demand response strategy will be used as the target demand response strategy. When the benefit corresponding to the first demand response strategy is less than the benefit corresponding to the intraday demand response strategy, the intraday demand response strategy will be used as the target demand response strategy.

[0047] In an embodiment of the present invention, the response capacity prediction value is determined by using parameters such as meteorological forecast data, the water quality stored in the supply pipe and return pipe, the upper and lower limits of the supply water temperature, and the upper and lower limits of the return water temperature, thereby improving the evaluation response capability and further improving the rationality, accuracy and benefits of the demand response strategy.

[0048] It should be noted that the above steps S101-S104 can be embedded in the response assessment model, which can be directly called later to obtain the response capacity prediction value. The above step S105 can be embedded in the response strategy model, which can be directly called later to formulate the demand response strategy.

[0049] Furthermore, the target demand response strategy is determined based on the response capacity forecast value, the winning response capacity published by the organizer, the electricity price and the first demand response strategy; including: determining at least one actual response capacity based on the response capacity forecast value; determining the response benefit corresponding to each of the actual response capacities based on the winning response capacity, the actual response capacity and the response benefit rule; the response benefit rule is used to characterize the response benefit corresponding to the intervals where different actual response capacities are located; determining the additional cost corresponding to the central air-conditioning at different stages; determining the target actual response capacity from each of the actual response capacities as the second demand response strategy based on the response benefit and the additional cost corresponding to the different stages; and determining the target demand response strategy based on the first demand response strategy and the second demand response strategy.

[0050] Here, the actual response capacity Can be 0 Any number between .

[0051] Winning bid response capacity According to the winning notice, the response profit rule is as follows: (16) in, In response to the benefits, For the air conditioning system owner as a supplier of flexibility resources, the expected benefits after comprehensively considering the potential risks of participating in this response to the stable operation of the system, The response capacity of the plan executed during the demand response process, is the winning bid response price, is the saturation response capacity, 、 、 They are the dead zone ratio, discount zone ratio and normal zone ratio, 、 、 They are the dead zone settlement coefficient, discount zone settlement coefficient, and normal zone settlement coefficient.

[0052] It should be noted that 0 Each value between is taken as the actual response capacity, and the and The interval where the ratio lies is calculated according to the formula corresponding to the interval .

[0053] Here, the method for determining the second demand response strategy may be any appropriate method, for example, obtained by substituting the response benefit and the additional cost into a calculation formula or inputting them into a neural network model.

[0054] In another embodiment, the method for determining the response benefit may be as follows: (17) (18) (19) in, is the settlement capacity, is the saturation response capacity, is the saturation ratio, is the winning bid response price, In response to earnings.

[0055] In the embodiment of the present invention, the accuracy of the demand response strategy is improved by formulating the demand response strategy using the global optimization principle.

[0056] Furthermore, based on the response benefit and the additional cost corresponding to the different stages, the target actual response capacity is determined from each of the actual response capacities as the second demand response strategy, including: based on the response benefit and the additional cost corresponding to the different stages, determining the target benefit corresponding to each of the actual response capacities; and determining the actual response capacity with the largest target benefit as the target actual response capacity as the second demand response strategy.

[0057] It should be noted that the second demand response strategy is the intraday demand response strategy.

[0058] Here, the target benefit can be the difference between the response benefit and all additional costs, or the difference between the weighted response benefit and the weighted additional costs.

[0059] For example, calculate the target return The following formula (20): (20) in, In response to the benefits, is the first additional cost, For the second additional cost, For the third additional cost, For the fourth additional cost.

[0060] It should be noted that the response capacity with the largest target benefit is the second demand response strategy.

[0061] In the embodiment of the present invention, a response strategy is formulated according to the principle of global optimization: the cold storage capacity of the system is rationally utilized to maximize the benefits.

[0062] Furthermore, the additional cost includes a first additional cost, a second additional cost, a third additional cost and a fourth additional cost. The determining of the additional costs corresponding to the central air conditioner at different stages includes: determining the first additional cost based on the system response power in the predicted response period, the baseline load in the predicted response period, the duration of the predicted response segment, the electricity price in the predicted response segment and the benchmark electricity price in the predicted response segment; determining the second additional cost based on the system power consumption of the central air conditioner in the demand response preparation period, the system power consumption in the non-demand response preparation period, the duration of the preparation period and the electricity price in the preparation period; determining the third additional cost based on the system power consumption of the central air conditioner in the demand response recovery period, the system power consumption in the non-demand response recovery period, the duration of the recovery period and the electricity price in the recovery period; and determining the fourth additional cost based on the cold amount stored in the cold storage tank of the central air conditioner at the start of the demand response, the cold amount stored in the cold storage tank at the end of the demand response and the cost corresponding to the unit cold amount stored in the cold storage tank.

[0063] Here, the first additional cost is the change in operating cost caused by participating in demand response, the second additional cost is the preparation phase cost, the third additional cost is the recovery phase cost, and the fourth additional cost is the cold storage cost.

[0064] It should be noted that the demand response process can be divided into the preparation period before response, the response period and the recovery period. The preparation period is to change the water temperature in the pipe network from 、 Reduce the supply water temperature to the end of the demand preparation phase , Return water temperature at the end of the demand preparation phase , complete the cold storage of the pipe network; the process of executing the response strategy during the response period; the recovery period is to restore the water temperature in the pipe network to 、 process.

[0065] For example, the first additional cost is calculated The following formula (21): (twenty one) in, is the predicted system response power in the i-th response period, is the baseline load in the i-th response period, is the electricity price in the i-th response period, is the benchmark electricity price in the i-th response period, Further, calculate The following formula (22): (twenty two) in, is the switch status of the refrigeration host of group l in the i-th period, is the predicted system response power in the i-th response period, is the time period i, and l The power consumption prediction value of the chilled water circulation pump linked to the refrigeration host, is the time period i, and l The power consumption prediction value of the chilled water circulation pump linked to the refrigeration host, is the time period i, and l Power consumption prediction of cooling towers linked to refrigeration hosts.

[0066] Further, calculate The following formula (23): (twenty three) in, is the cooling load prediction value, is the cooling efficiency of the refrigeration host.

[0067] It should be noted that in order to increase the response capacity, the water temperature in the pipeline is planned to be adjusted from the set temperature during normal operation to the temperature before the response starts. (Lower the water temperature when participating in peak-shaving demand response, and increase the water temperature when participating in valley-filling demand response). The preparation stage cost mainly refers to the additional cost incurred in the water temperature regulation process.

[0068] For example, the second additional cost is calculated The following formula (24): (twenty four) in, The power consumed by the system when preparing for demand response, The system power consumption during the non-demand response preparation period is is the duration of the preparation period, is the electricity price during the preparation period.

[0069] The recovery phase is to reduce the water temperature in the pipeline from the temperature at the end of the response to the The additional costs incurred in adjusting the temperature to normal operating conditions.

[0070] For example, the third additional cost is calculated The following formula (25): (25) in, is the system power consumption during the demand response recovery period, The system power consumption during the non-demand response recovery period is is the i-th period of demand response recovery, is the electricity price during the recovery period.

[0071] For example, the fourth additional cost is calculated The following formula (26): (26) in, is the amount of cold stored in the cold storage tank when demand response begins. It is the cold capacity stored in the cold storage tank at the end of demand response. The cost corresponding to the unit cooling capacity stored in the cold storage tank.

[0072] In the embodiment of the present invention, the system's cold storage capacity is rationally utilized, and based on the principle of maximizing benefits, a main cooling supply plan for the preparation phase, response period, and recovery period is formulated to form a demand response strategy, thereby making benefit evaluation more comprehensive and objective, and improving the rationality and accuracy of the demand response strategy.

[0073] Furthermore, the power consumption of the refrigeration system of the central air conditioner is determined based on the cooling load prediction value and the system cold storage capacity, including: determining the first power of the cold capacity released jointly by the pipeline of the central air conditioner and the cold storage tank of the central air conditioner based on the system cold storage capacity and the duration of the demand response; determining the cooling load provided by the refrigeration machine of the central air conditioner based on the first power; determining the power consumption of the refrigeration host system of the central air conditioner, the power consumption of the cooling water circulation pump of the central air conditioner and the power consumption of the cooling tower of the central air conditioner based on the cooling load and the first meteorological forecast parameter; determining the power consumption of the chilled water circulation pump of the central air conditioner based on the cooling load prediction value and the first meteorological forecast parameter; determining the power consumption of the refrigeration system based on the power consumption of the refrigeration host system, the power consumption of the cooling water circulation pump, the power consumption of the cooling tower and the power consumption of the chilled water circulation pump.

[0074] Here, the first power is the power of releasing cold energy from pipelines and cold storage tanks. For example, the first power can be obtained by dividing the system cold energy by the duration of the demand response, or by multiplying the system cold energy by a coefficient and dividing it by the duration of the demand response.

[0075] Here, the cooling load provided by the chiller can be the difference between the predicted cooling load value and the first power, or the sum of the predicted cooling load value and the first power. Specifically, in peak-shaving demand response, the cooling load provided by the chiller can be the difference between the predicted cooling load value and the first power, and in valley-filling virtual power plants, the cooling load provided by the chiller can be the sum of the predicted cooling load value and the first power.

[0076] For example, the power consumption of the refrigeration host system, the power consumption of the cooling water circulation pump, the power consumption of the cooling tower and the power consumption of the chilled water circulation pump are determined as follows: (27) (28) (29) (30) Further, calculate The following formula (31): (31) Here, determine the power consumption of the refrigeration system The method can be any suitable method, such as a neural network model and a calculation formula, for example, calculating The following formula (32): (32) in, The refrigeration main mechanism switch status, where the value is 1, indicating that the refrigeration main mechanism is on, and the value is 0, indicating that the refrigeration main mechanism is off. The power consumption of the refrigeration host system is The power consumption of the chilled water circulation pump is The power consumption of the cooling water circulation pump is The power consumption of the cooling tower.

[0077] In an embodiment of the present invention, the power consumption of the refrigeration system is determined by using multiple parameters such as the system cooling capacity, demand response duration, first meteorological forecast parameter, and cooling load forecast value, thereby improving the accuracy of the power consumption of the refrigeration system and further improving the evaluation response capability.

[0078] Furthermore, after determining the target demand response strategy based on the response capacity forecast value, the winning response capacity published by the organizer and the electricity price, the method also includes: determining a temperature change value based on the cooling load forecast value required by the terminal of the central air-conditioning in the next response period, the cooling power released by the cold storage tank of the central air-conditioning in the next response period, the cooling power provided by the refrigeration host of the central air-conditioning in the next response period and the chilled water circulation flow of the central air-conditioning in the next response period; determining a second chilled water supply temperature at the end of the next response period based on the temperature change value and the first chilled water supply temperature of the central air-conditioning after the end of the current response period; determining a second chilled water return temperature at the end of the next response period based on the temperature change value and the first chilled water return temperature of the central air-conditioning after the end of the current response period; and re-updating the target demand response strategy when the second chilled water supply temperature and / or the second chilled water return temperature are greater than their respective corresponding thresholds.

[0079] The basic principle of the system's participation in peak-shaving demand response is to reduce the power consumption of the refrigeration host during the response period, which will inevitably have an adverse impact on the cooling quality (such as increased chilled water supply / return temperature, etc.), thereby affecting the cooling experience of end users. Therefore, it is necessary to monitor the chilled water supply / return temperature.

[0080] It should be noted that the next response period refers to the upcoming response period, and the current response period refers to the currently ended response period. That is, the central air conditioner has just ended the i-th response period and is preparing to proceed to the i+1 response period.

[0081] For example, calculate the second chilled water supply temperature The following formula (33): (33) in, The first chilled water supply temperature after the current response period ends. is the temperature change value, is the cooling load forecast value required by the terminal in the upcoming response period, The cooling power released by the cold storage tank during the upcoming response period, The cooling power provided by the cooling host during the upcoming response period, It is the chilled water circulation flow rate during the upcoming response period.

[0082] Calculate the second chilled water return temperature The following formula (34): (34) in, It is the first chilled water return temperature after the current response period ends.

[0083] Here, updating the target demand response strategy may involve re-executing the above steps S101-S105.

[0084] It should be noted that real-time monitoring of the chilled water supply / return temperature and updating the demand response strategy based on the chilled water supply / return temperature can constitute the risk control model of this application. The risk control model can be directly called to update the demand response strategy later.

[0085] In the embodiment of the present invention, during the implementation of demand response, the chilled water supply temperature and the chilled water return temperature are monitored, the response risk is monitored in real time, and the response strategy is dynamically adjusted.

[0086] Furthermore, before determining the cooling load forecast value required by the terminal of the central air conditioner based on the first meteorological forecast parameter corresponding to the demand response period, the method also includes: in the demand response invitation issuance stage, based on the second meteorological forecast parameter and the response capability evaluation model of the invitation issuance stage, determining the second response capacity forecast value of the invitation issuance stage and reporting it to the organizer; the second response capacity forecast value is used by the organizer to determine the winning response capacity and the electricity price; in the demand response day-ahead stage, determining the first demand response strategy based on the third meteorological forecast parameter corresponding to the day-ahead stage, the response capability evaluation model, the demand response rules, the winning response capacity and the electricity price.

[0087] In an embodiment of the present invention, according to the organizational process of invitation-based demand response, the demand response capability evaluation model is called in the invitation release stage to evaluate the response capability with the latest meteorological parameter forecast values and other known parameters, and it supports quotation in the response invitation stage. The response strategy model is called in the organization response day stage to formulate the response strategy. The response strategy model is called in the organization response day stage to verify and update the response strategy. In the response implementation stage, the risk control model is investigated to verify the chilled water supply and return water temperatures and update the response strategy in real time. Multi-time series connection ensures the rationality of the strategy.

[0088] The following is an application scenario of a method for determining a demand response strategy for a central air conditioner provided by an embodiment of the present invention.

[0089] (1) Use the demand response evaluation model to evaluate the response capacity forecast value: After the demand response invitation is issued, the flexibility resources evaluate the response capacity forecast value based on the meteorological forecast data of the proposed response period and past historical operation data and report it.

[0090] (2) Formulate a demand response strategy: After the winning response capacity and electricity price are announced, one day before the demand response period, the response strategy model is called to formulate the first demand response strategy using the known information such as the predicted values of meteorological parameters for the proposed response period, the winning response capacity, the winning price, and the demand response rules as input.

[0091] (3) Verify the response strategy: On the day of organizing and implementing the demand response, one hour before participating in the response, the predicted values of meteorological parameters for the proposed response period, the winning capacity, the winning price, the demand response rules and other known information are used as input, the response strategy model is called, the demand response strategy is verified, and the target demand response strategy is determined; (4) Risk control strategy: During the implementation of demand response, the predicted values of meteorological parameters during the remaining response period and the measured values of system operating parameters are input into the risk control model to calibrate and monitor the system water supply temperature.

[0092] It should be noted that when calling the response evaluation model, the upper limit of the water supply temperature needs to be constrained. For example, the upper limit of the water supply temperature must be less than the upper limit of the chiller water supply temperature. and the upper limit of water supply temperature in the system operation record ,Right now Less than or equal to ,in, Obtained by formulating the host manual, Obtained through historical operation data.

[0093] It should be noted that when calling the response strategy model and risk control model, constraints on cooling capacity balance, supply water temperature, return water temperature, minimum continuous response constraints and the number of start and stop times of the refrigeration host need to be set.

[0094] For example, the cooling capacity balance constraint is the cooling power of the refrigerator. , cold storage tank cooling power And pipeline cooling power The sum is equal to the cooling power required by the terminal The water supply temperature constraint means that the water supply temperature does not exceed the maximum value allowed. The minimum continuous response constraint means that the cooling system responds to the power in real time. Greater than the minimum continuous response power specified by the organizer The number of times the refrigeration host starts and stops is limited, that is, the number of times the refrigeration host starts and stops within 1 hour The maximum limit specified by the small device supplier should be .

[0095] The method for determining a demand response strategy for a central air conditioner provided by the present invention includes response capability assessment when participating in demand response, response strategy formulation and optimization, and risk control during the response process, and has the following advantages: (1) Improved response capability assessment: using big data and artificial intelligence technology, accurately assessing the system response capability based on the system's historical operating data and meteorological forecast data, and supporting quotation in the response invitation stage; (2) Formulating a response strategy based on the principle of global optimization: rationally utilizing the system's cold storage capacity, and based on the principle of maximizing benefits, formulating a main cooling and cooling plan in the preparation stage, response period, and recovery period to form a demand response strategy; (3) During the implementation of demand response, the chilled water supply temperature and chilled water return temperature are used as monitoring objects to monitor the response risk in real time and dynamically adjust the response strategy.

[0096] Given the increasing penetration rate of new energy and the widening gap between electricity peaks and valleys, aggregating central air-conditioning systems, a high-quality flexibility resource, and participating in grid interaction in the form of virtual power plants is of great significance to the smooth operation of the grid. Central air-conditioning system owners can gain benefits by improving flexibility and achieve a win-win situation for all parties.

[0097] The demand response strategy determination device for a central air conditioner provided by the present invention is described below. The demand response strategy determination device for a central air conditioner described below and the demand response strategy determination method for a central air conditioner described above can be referenced to each other.

[0098] Figure 2 This is a schematic diagram of the structure of the central air-conditioning demand response strategy determination device provided by the present invention. Figure 2 As shown, the central air-conditioning demand response strategy determination device 200 includes: A first determining module 210 is configured to determine a cooling load prediction value required by the terminal of the central air conditioner based on a first meteorological prediction parameter corresponding to a demand response period; a second determining module 220 for determining a system cooling capacity of the central air conditioner based on the water quality stored in the water supply pipe of the central air conditioner, the water quality stored in the water return pipe of the central air conditioner, the upper and lower limits of the water supply temperature of the water supply pipe, and the upper and lower limits of the return temperature of the water return pipe; A third determining module 230 is configured to determine the power consumption of the refrigeration system of the central air conditioner based on the cooling load prediction value and the cold storage capacity of the system; a fourth determining module 240 for determining a predicted response capacity of the central unit based on the predicted cooling load value, the system cold storage capacity, and the power consumption of the refrigeration system; The fifth determination module 250 is used to determine the target demand response strategy based on the response capacity prediction value, the winning response capacity released by the organizer, the electricity price and the first demand response strategy; the target demand response strategy is the demand response strategy with the greatest benefit, and the first demand response strategy is the demand response strategy determined before the demand response period.

[0099] In another embodiment, the fifth determination module 250 is specifically used to: determine at least one actual response capacity based on the response capacity prediction value; determine the response benefit corresponding to each of the actual response capacities based on the winning response capacity, the actual response capacity and the response benefit rule; the response benefit rule is used to characterize the response benefit corresponding to the interval in which different actual response capacities are located; determine the additional cost corresponding to the central air-conditioning at different stages; determine the target actual response capacity from each of the actual response capacities as the second demand response strategy based on the response benefit and the additional cost corresponding to the different stages; determine the target demand response strategy based on the first demand response strategy and the second demand response strategy.

[0100] In another embodiment, the fifth determination module 250 is further specifically used to: determine the target benefit corresponding to each of the actual response capacities based on the response benefit and the additional costs corresponding to the different stages; and determine the actual response capacity with the maximum target benefit as the target actual response capacity as the second demand response strategy.

[0101] In another embodiment, the additional cost includes a first additional cost, a second additional cost, a third additional cost and a fourth additional cost, and the fifth determination module 250 is further specifically used to: determine the first additional cost based on the system response power in the predicted response period, the baseline load in the predicted response period, the duration of the predicted response segment, the electricity price in the predicted response segment and the benchmark electricity price in the predicted response segment; determine the second additional cost based on the system power consumption of the central air conditioner in the demand response preparation period, the system power consumption in the non-demand response preparation period, the duration of the preparation period and the electricity price in the preparation period; determine the third additional cost based on the system power consumption of the central air conditioner in the demand response recovery period, the system power consumption in the non-demand response recovery period, the duration of the recovery period and the electricity price in the recovery period; determine the fourth additional cost based on the cold storage capacity stored in the cold storage tank of the central air conditioner at the start of the demand response, the cold storage capacity stored in the cold storage tank at the end of the demand response and the cost corresponding to the unit cold storage capacity of the cold storage tank.

[0102] In another embodiment, the first determination module is specifically used to: determine the first power of the central air-conditioning pipeline and the central air-conditioning cold storage tank to jointly release the cold capacity based on the system cold storage capacity and the duration of the demand response; determine the cooling load provided by the central air-conditioning refrigeration machine based on the first power; determine the power consumption of the central air-conditioning refrigeration host system, the power consumption of the central air-conditioning cooling water circulation pump and the power consumption of the central air-conditioning cooling tower based on the cooling load and the first meteorological forecast parameter; determine the power consumption of the central air-conditioning chilled water circulation pump based on the cooling load forecast value and the first meteorological forecast parameter; determine the power consumption of the refrigeration system based on the power consumption of the refrigeration host system, the power consumption of the cooling water circulation pump, the power consumption of the cooling tower and the power consumption of the chilled water circulation pump.

[0103] In another embodiment, after the target demand response strategy is determined based on the response capacity prediction value, the winning response capacity published by the organizer and the electricity price, an update module is also included, which is specifically used to: determine the temperature change value based on the cooling load prediction value required by the terminal of the central air-conditioning in the next response period, the cooling power released by the cold storage tank of the central air-conditioning in the next response period, the cooling power provided by the refrigeration host of the central air-conditioning in the next response period and the chilled water circulation flow of the central air-conditioning in the next response period; determine the second chilled water supply temperature at the end of the next response period based on the temperature change value and the first chilled water supply temperature of the central air-conditioning after the end of the current response period; determine the second chilled water return temperature at the end of the next response period based on the temperature change value and the first chilled water return temperature of the central air-conditioning after the end of the current response period; and re-update the target demand response strategy when the second chilled water supply temperature and / or the second chilled water return temperature are greater than their respective corresponding thresholds.

[0104] In another embodiment, before determining the cooling load forecast value required by the terminal of the central air conditioner based on the first meteorological forecast parameter corresponding to the demand response period, a sixth determination module is also included, which is specifically used to: in the demand response invitation issuance stage, based on the second meteorological forecast parameter and the response capability evaluation model of the invitation issuance stage, determine the second response capacity forecast value of the invitation issuance stage and report it to the organizer; the second response capacity forecast value is used by the organizer to determine the winning response capacity and the electricity price; in the demand response day-ahead stage, based on the third meteorological forecast parameter corresponding to the day-ahead stage, the response capability evaluation model, the demand response rules, the winning response capacity and the electricity price, determine the first demand response strategy.

[0105] Figure 3 Schematic diagram of the structure of the electronic device provided by the present invention, such as Figure 3As shown, the electronic device may include: a processor 810 , a communication interface 820 , a memory 830 and a communication bus 840 , wherein the processor 810 , the communication interface 820 and the memory 830 communicate with each other via the communication bus 840 . The processor 810 can call the logic instructions in the memory 830 to execute the demand response strategy determination method of the central air conditioner, which includes: determining the cooling load prediction value required by the terminal of the central air conditioner based on the first meteorological forecast parameter corresponding to the demand response period; determining the system cooling capacity of the central air conditioner based on the water quality stored in the water supply pipe of the central air conditioner, the water quality stored in the return pipe of the central air conditioner, the upper and lower limits of the supply water temperature of the supply pipe, and the upper and lower limits of the return water temperature of the return pipe; determining the power consumption of the refrigeration system of the central air conditioner based on the cooling load prediction value and the system cooling capacity; determining the response capacity prediction value of the central air conditioner based on the cooling load prediction value, the system cooling capacity and the power consumption of the refrigeration system; determining the target demand response strategy based on the response capacity prediction value, the winning response capacity released by the organizer, the electricity price and the first demand response strategy; the target demand response strategy is the demand response strategy with the greatest benefit, and the first demand response strategy is the demand response strategy determined before the demand response period.

[0106] Furthermore, the logic instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product, stored in a storage medium, includes instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0107] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the central air conditioner demand response strategy determination method provided by the above-mentioned methods, the method including: determining a cooling load forecast value required by the terminal of the central air conditioner based on a first meteorological forecast parameter corresponding to a demand response period; determining a system cooling capacity of the central air conditioner based on the water quality stored in the water supply pipe of the central air conditioner, the water quality stored in the return pipe of the central air conditioner, the upper and lower limits of the supply water temperature of the supply pipe, and the upper and lower limits of the return water temperature of the return pipe; determining the power consumption of the refrigeration system of the central air conditioner based on the cooling load forecast value and the system cooling capacity; determining a response capacity forecast value of the central air conditioner based on the cooling load forecast value, the system cooling capacity, and the power consumption of the refrigeration system; determining a target demand response strategy based on the response capacity forecast value, the winning response capacity published by the organizer, the electricity price, and the first demand response strategy; the target demand response strategy is the demand response strategy with the greatest benefit, and the first demand response strategy is the demand response strategy determined before the demand response period.

[0108] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the demand response strategy determination method for a central air conditioner provided by the above-mentioned methods, the method comprising: determining a cooling load forecast value required by the terminal of the central air conditioner based on a first meteorological forecast parameter corresponding to a demand response period; determining a system cooling capacity of the central air conditioner based on the water quality stored in the water supply pipe of the central air conditioner, the water quality stored in the return pipe of the central air conditioner, the upper and lower limits of the supply water temperature of the supply pipe, and the upper and lower limits of the return water temperature of the return pipe; determining the power consumption of the refrigeration system of the central air conditioner based on the cooling load forecast value and the system cooling capacity; determining a response capacity forecast value of the central air conditioner based on the cooling load forecast value, the system cooling capacity and the power consumption of the refrigeration system; determining a target demand response strategy based on the response capacity forecast value, the winning response capacity published by the organizer, the electricity price and the first demand response strategy; the target demand response strategy is the demand response strategy with the greatest benefit, and the first demand response strategy is the demand response strategy determined before the demand response period.

[0109] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0110] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0111] 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 various embodiments of the present invention.

Claims

1. A method for determining a demand response strategy for a central air conditioner, characterized in that: include: Determining a cooling load forecast value required by the terminal of the central air conditioner based on a first meteorological forecast parameter corresponding to a demand response period; Determining a system cooling capacity of the central air conditioner based on the mass of water stored in the water supply pipe of the central air conditioner, the mass of water stored in the water return pipe of the central air conditioner, the upper and lower limits of the water supply temperature of the water supply pipe, and the upper and lower limits of the return temperature of the water return pipe; Determining the power consumption of the refrigeration system of the central air conditioner based on the cooling load prediction value and the cold storage capacity of the system; Determining a response capacity prediction value of the central air conditioner based on the cooling load prediction value, the system cold storage capacity, and the power consumption of the refrigeration system; Determining a target demand response strategy based on the response capacity prediction value, the winning response capacity published by the organizer, the electricity price, and the first demand response strategy; The target demand response strategy is a demand response strategy with the greatest benefit, and the first demand response strategy is a demand response strategy determined before the demand response period.

2. The method for determining a demand response strategy for a central air conditioner according to claim 1, characterized in that: The step of determining a target demand response strategy based on the response capacity prediction value, the winning response capacity published by the organizer, the electricity price, and the first demand response strategy includes: determining at least one actual response capacity based on the response capacity prediction; Determining a response benefit corresponding to each actual response capacity based on the winning response capacity, the actual response capacity, and a response benefit rule; wherein the response benefit rule is used to characterize the response benefits corresponding to the intervals in which different actual response capacities are located; Determine the additional costs of the central air conditioning at different stages; determining a target actual response capacity from each of the actual response capacities as a second demand response strategy based on the response benefit and the additional costs corresponding to the different stages; The target demand response strategy is determined based on the first demand response strategy and the second demand response strategy.

3. The method for determining a demand response strategy for a central air conditioner according to claim 2, wherein: The determining, based on the response benefit and the additional costs corresponding to the different stages, a target actual response capacity from each actual response capacity as the second demand response strategy includes: Determining a target benefit corresponding to each actual response capacity based on the response benefit and the additional costs corresponding to the different stages; The actual response capacity with the maximum target benefit is determined as the target actual response capacity as the second demand response strategy.

4. The method for determining a demand response strategy for a central air conditioner according to claim 2, wherein: The additional cost includes a first additional cost, a second additional cost, a third additional cost, and a fourth additional cost. The determining of the additional costs corresponding to the central air conditioner at different stages includes: determining the first additional cost based on a system response power within a predicted response period, a baseline load within the predicted response period, a duration within the predicted response period, an electricity price within the predicted response period, and a base electricity price within the predicted response period; determining the second additional cost based on the system power consumption of the central air conditioner during the demand response preparation period, the system power consumption during the non-demand response preparation period, the duration of the preparation period, and the electricity price during the preparation period; determining the third additional cost based on the system power consumption of the central air conditioner during the demand response recovery period, the system power consumption during the non-demand response recovery period, the duration of the recovery period, and the electricity price during the recovery period; The fourth additional cost is determined based on the cooling capacity stored in the cold storage tank of the central air conditioner when demand response starts, the cooling capacity stored in the cold storage tank when demand response ends, and the cost corresponding to the unit cooling capacity stored in the cold storage tank.

5. The method for determining a demand response strategy for a central air conditioner according to claim 1, wherein: The determining of the power consumption of the refrigeration system of the central air conditioner based on the cooling load prediction value and the system cold storage capacity includes: Determining a first power at which the pipeline of the central air conditioner and the cold storage tank of the central air conditioner jointly release cold capacity based on the cold storage capacity of the system and the duration of the demand response; determining a cooling load provided by a refrigeration machine of the central air conditioner based on the first power; Determining the power consumption of the refrigeration host system of the central air conditioner, the power consumption of the cooling water circulation pump of the central air conditioner, and the power consumption of the cooling tower of the central air conditioner based on the cooling load and the first meteorological forecast parameter; Determining the power consumption of a chilled water circulation pump of the central air conditioner based on the cooling load prediction value and the first meteorological prediction parameter; The power consumption of the refrigeration system is determined based on the power consumption of the refrigeration host system, the power consumption of the cooling water circulation pump, the power consumption of the cooling tower and the power consumption of the chilled water circulation pump.

6. The method for determining a demand response strategy for a central air conditioner according to claim 1, characterized in that: After determining the target demand response strategy based on the response capacity prediction value, the winning response capacity published by the organizer, and the electricity price, the method further includes: Determining a temperature change value based on a predicted cooling load required by the terminal of the central air conditioner in the next response period, a cooling power released by the cold storage tank of the central air conditioner in the next response period, a cooling power provided by the refrigeration host of the central air conditioner in the next response period, and a chilled water circulation flow rate of the central air conditioner in the next response period; Determining a second chilled water supply temperature at the end of a next response period based on the temperature change value and the first chilled water supply temperature of the central air conditioner after the end of the current response period; Determine a second chilled water return temperature at the end of a next response period based on the temperature change value and the first chilled water return temperature of the central air conditioner after the end of the current response period; When the second chilled water supply temperature and / or the second chilled water return temperature is greater than their respective corresponding thresholds, the target demand response strategy is re-updated.

7. The method for determining a demand response strategy for a central air conditioner according to claim 1, wherein: Before determining the cooling load forecast value required by the terminal of the central air conditioner based on the first meteorological forecast parameter corresponding to the demand response period, the method further includes: During the demand response invitation issuance phase, based on the second meteorological forecast parameter and the response capacity evaluation model of the invitation issuance phase, a second response capacity forecast value for the invitation issuance phase is determined and reported to the organizer; the second response capacity forecast value is used by the organizer to determine the winning response capacity and the electricity price; In the day-ahead stage of demand response, the first demand response strategy is determined based on the third meteorological forecast parameter corresponding to the day-ahead stage, the response capability evaluation model, the demand response rules, the winning response capacity and the electricity price.

8. A central air-conditioning demand response strategy determination module, characterized in that: include: A first determining module is configured to determine a cooling load prediction value required by a terminal of the central air conditioner based on a first meteorological prediction parameter corresponding to a demand response period; a second determining module, configured to determine a system cooling capacity of the central air conditioner based on a mass of water stored in a water supply pipe of the central air conditioner, a mass of water stored in a water return pipe of the central air conditioner, upper and lower limits of a water supply temperature of the water supply pipe, and upper and lower limits of a return water temperature of the return pipe; a third determining module, configured to determine the power consumption of the refrigeration system of the central air conditioner based on the cooling load prediction value and the cold storage capacity of the system; a fourth determining module, configured to determine a predicted response capacity value of the central air conditioner based on the predicted cooling load value, the system cold storage capacity, and the power consumption of the refrigeration system; a fifth determining module, configured to determine a target demand response strategy based on the response capacity prediction value, the winning response capacity published by the organizer, the electricity price, and the first demand response strategy; The target demand response strategy is a demand response strategy with the greatest benefit, and the first demand response strategy is a demand response strategy determined before the demand response period.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the method for determining a demand response strategy for a central air conditioner according to any one of claims 1 to 7 is implemented.

10. 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 method for determining a demand response strategy for a central air conditioner according to any one of claims 1 to 7 is implemented.

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