Peak load shifting control method and device for refrigeration house, electronic equipment and storage medium

Abstract

The invention discloses a peak load shifting control method and device for a refrigeration house, electronic equipment and a storage medium, the method and device are applied to the electronic equipment, and specifically, refrigeration house parameters of the refrigeration house and various historical data of a refrigerating unit of the refrigeration house in operation are obtained; constructing a refrigeration house model based on the refrigeration house parameters and various historical data; and the refrigeration house model is used for calculating peak-valley operation parameters, and the peak-valley operation parameters are output to the control system, so that the control system controls the refrigerating unit to operate based on the peak-valley operation parameters and the peak-valley switching time. According to the scheme, peak load shifting is achieved on the basis that the refrigeration house body serves as energy storage equipment, electricity storage equipment or cold storage equipment does not need to be additionally arranged to serve as energy storage equipment, and therefore investment of the refrigeration house system is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of environmental protection and energy conservation, and more specifically, to a peak-shifting and valley-filling control method, device, electronic equipment and storage medium for a cold storage. Background Art

[0002] With the continuous development of modern logistics industry, cold storage plays an important role in the cold chain transportation of food. The operating costs of cold storage mainly include: energy costs, maintenance costs, labor costs, etc. The energy consumed by cold storage mainly comes from the electricity used for refrigeration. Generally speaking, the energy cost of cold storage is much higher than that of ordinary warehouses. The main reason is that the temperature in the warehouse needs to be constantly maintained. In the overall operating costs, refrigeration costs generally account for the largest proportion.

[0003] Since there are peaks and valleys in electricity consumption, power companies generally set peak-valley electricity prices in order to increase benefits, that is, different electricity prices are set for peak electricity periods and valley electricity periods, that is, peak electricity prices and valley electricity prices. Generally speaking, there is a large gap between valley electricity prices and peak electricity prices. In this way, for a system such as cold storage that needs to run for a long time, greater economic benefits can be achieved through appropriate peak shifting and valley filling. The so-called peak shifting and valley filling means that more energy (electricity or cold energy) is stored as much as possible during the valley electricity price period, and the energy stored during the valley electricity price period is used preferentially during the peak electricity price period or the flat price period to reduce the total energy cost, thereby reducing the operating cost of the cold storage. However, the existing peak shifting and valley filling means that it is achieved by using energy storage equipment to store electricity or cold, which requires additional energy storage equipment, resulting in excessive investment in the cold storage system and affecting the economic benefits of the cold storage. Summary of the invention

[0004] In view of this, the present application provides a peak-shifting and valley-filling control method, device, electronic device and storage medium for a cold storage, which are used to enable the cold storage to achieve peak-shifting and valley-filling without configuring energy storage equipment.

[0005] In order to achieve the above objectives, the proposed solution is as follows:

[0006] A peak-shifting and valley-filling control method for a cold storage is applied to electronic equipment. The peak-shifting and valley-filling control method comprises the following steps:

[0007] Acquire cold storage parameters of the cold storage and various historical data of the refrigeration unit of the cold storage during operation;

[0008] Building a cold storage model based on the cold storage parameters and the multiple historical data;

[0009] The peak-valley operation parameters are calculated using the cold storage model, and the peak-valley operation parameters are output to the control system, so that the control system controls the operation of the refrigeration unit based on the peak-valley operation parameters and the peak-valley switching time.

[0010] Optionally, the multiple historical data include mass flow rate, temperature recovery, supply temperature, air temperature inside the storage and air temperature outside the storage of the refrigerant of the refrigeration unit.

[0011] Optionally, the cold storage model is constructed based on the cold storage parameters and the multiple historical data, comprising the steps of:

[0012] Construct a cold storage load model and set cold storage operation constraints;

[0013] Calculate a plurality of model parameters based on the cold storage load model and the cold storage operation constraints;

[0014] The cold storage model is obtained based on the multiple model parameters and the cold storage load model.

[0015] Optionally, the cold storage load model is:

[0016]

[0017] Q 冷库 is the cold storage load of the cold storage;

[0018] Q1 is the temperature difference heat transfer of the enclosure structure, which can be approximately regarded as a function of the temperature difference, denoted as Q1 = f(Δt);

[0019] Q2 is the cooling capacity of ventilation, which is a constant C when the number of heat exchanges is constant;

[0020] Q3 is a function of the weight of the stored items, denoted as Q3 = f(G), which is a constant C when the storage volume is constant;

[0021] Q4 is the respiration heat of the food entering the warehouse, which can be approximately regarded as a function of the weight of the stored items, recorded as Q4 = f(G), which is a constant = C when the storage volume is constant;

[0022] Q5 is the cooling consumption of the staff, which is a constant C when the staff is constant;

[0023] Q6 is the heat generated by electric lamps and electrical equipment, which is a constant C when the electrical equipment is constant;

[0024] Q7 is the safety factor of the cold storage, which can generally be taken as 0.1;

[0025] K is the heat transfer coefficient of the cold storage enclosure structure, unit is W / (m 2 ℃);

[0026] F is the area of ​​the cold storage enclosure structure, in m2 ;

[0027] t 内 is the air temperature in the warehouse, in °C;

[0028] t 外 is the air temperature outside the warehouse, in °C;

[0029] C is a constant.

[0030] Optionally, the cold storage operation constraint condition is that the lower temperature limit shutdown time coincides with the peak-valley electricity price switching time.

[0031] A peak shifting and valley filling control device for a cold storage is applied to electronic equipment, and the peak shifting and valley filling control device comprises:

[0032] A parameter acquisition module is configured to acquire cold storage parameters of the cold storage and various historical data of the refrigeration unit of the cold storage during operation;

[0033] A model building module, configured to build a cold storage model based on the cold storage parameters and the multiple historical data;

[0034] The model solving module is configured to calculate the peak-valley operation parameters using the cold storage model, and output the peak-valley operation parameters to the control system, so that the control system controls the operation of the refrigeration unit based on the peak-valley operation parameters and the peak-valley switching time.

[0035] Optionally, the multiple historical data include mass flow rate, temperature recovery, supply temperature, air temperature inside the storage and air temperature outside the storage of the refrigerant of the refrigeration unit.

[0036] Optionally, the model building module includes the steps of:

[0037] The model building unit is configured to build a cold storage load model and set cold storage operation constraints;

[0038] a parameter calculation unit, configured to calculate a plurality of model parameters based on the cold storage load model and the operation constraint conditions;

[0039] A construction execution unit is configured to obtain the cold storage model based on the multiple model parameters and the cold storage load model.

[0040] An electronic device, comprising at least one processor and a memory connected to the processor, wherein:

[0041] The memory is used to store computer programs or instructions;

[0042] The processor is used to execute the computer program or instruction so that the electronic device implements the peak shifting and valley filling control method as described above.

[0043] A computer-readable storage medium is applied to an electronic device, wherein the storage medium carries one or more computer programs or instructions, and the one or more computer programs can be executed by the electronic device, so that the electronic device can implement the peak shifting and valley filling control method as described above.

[0044] It can be seen from the above technical scheme that the present application discloses a peak-to-valley shifting and valley-filling control method, device, electronic device and storage medium for a cold storage. The method and device are applied to electronic devices, specifically to obtain the cold storage parameters of the cold storage, as well as various historical data of the refrigeration unit of the cold storage during operation; to build a cold storage model based on the cold storage parameters and various historical data; to calculate the peak-to-valley operation parameters using the cold storage model, and to output the peak-to-valley operation parameters to the control system, so that the control system controls the operation of the refrigeration unit based on the peak-to-valley operation parameters and the peak-to-valley switching time. This solution realizes the peak-to-valley shifting and valley-filling function based on the cold storage body as an energy storage device, without the need to separately add an electric storage device or a cold storage device as an energy storage device, thereby reducing the investment in the cold storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in 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 only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 This is a flow chart of a peak-shifting and valley-filling control method for a cold storage according to an embodiment of the present application;

[0047] Figure 2 The peak-valley electricity price curve and the indoor temperature curve of the cold storage in the embodiment of the present application;

[0048] Figure 3 The time (T) and the cold storage load (Q) of the embodiment of the present application are 冷库 )'s coordinate system;

[0049] Figure 4 is the operating efficiency curve of the refrigeration unit;

[0050] Figure 5 A block diagram of a peak-shifting and valley-filling control device for a cold storage according to an embodiment of the present application;

[0051] Figure 6 A block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0053] In response to the above problems, the present application proposes a control method that takes "peak shifting and valley filling" as the idea, and aims to reduce the operating costs of the cold storage system through system modeling, data accumulation verification and model calculation. This control method uses the cold storage body as a cold storage device, so there is no need to add energy storage equipment, reducing the investment in the cold storage system. In addition, in view of the fact that the present application enables the cold storage to unify storage and use, it reduces the consumption in the process of energy conversion and transmission, and improves the efficiency of energy use; finally, the amount of "peak shifting and valley filling" is more accurately calculated through the modeling and calculation method, and then the activation time of "peak shifting and valley filling" is calculated, which is convenient for guiding the operating personnel to perform related operations manually or the system to automatically, and finally achieves the purpose of saving the operating costs of the cold storage system. The following is an embodiment proposed based on the above basic idea.

[0054] Figure 1 This is a flow chart of a peak shifting and valley filling control method for a cold storage according to an embodiment of the present application.

[0055] like Figure 1 The peak-shifting and valley-filling control method for cold storage provided in this embodiment is applied to cold storage, specifically, to a control system for controlling a refrigeration unit of the cold storage, or an electronic device for controlling a refrigeration unit. The electronic device can be understood as a computer, server, cloud platform or embedded device with data computing and information processing capabilities. The peak-shifting and valley-filling control method specifically includes the following steps:

[0056] S1. Obtain cold storage parameters and various historical data of the cold storage.

[0057] The so-called cold storage parameters refer to the data that characterize the various performances of the cold storage, such as the building materials, floor space, space volume, height, area of ​​the enclosure structure, heat transfer coefficient, etc. The various historical data here refer to the mass flow rate of the refrigerant of the refrigeration unit, temperature return, temperature supply, air temperature inside the storage, and air temperature outside the storage.

[0058] S2. Build a cold storage model based on cold storage parameters and various historical data.

[0059] The cold storage model here includes the cold storage load model and the cold storage operation constraints. Specifically, the construction of the cold storage model is achieved through the following steps.

[0060] 1. A cold storage load model is established through various loads of the cold storage, and the cold storage load model includes multiple model parameters that need to be solved.

[0061] The cold storage load mainly includes the temperature difference heat transfer of the cold storage enclosure structure Q1, the ventilation cooling consumption Q2, the cooling consumption of the refrigerated items in the warehouse Q3, the breathing heat of the food in the warehouse Q4, the cooling consumption of the staff Q5, the heat generated by electric lights and electrical equipment Q6 and the safety factor of the cold storage Q7.

[0062] The temperature difference heat transfer of the enclosure structure Q1 (W) can be approximately regarded as a function of the temperature difference, recorded as Q1 = f (Δt); the ventilation cooling consumption Q2 (W) can be approximately regarded as a constant (C) when the number of heat exchanges is constant, recorded as Q2 = C; the cooling consumption of refrigerated goods in the warehouse Q3 (W) can be approximately regarded as a function of the weight of the stored goods, recorded as Q3 = f (G), when the storage volume is constant, it can be approximately regarded as a constant (C), recorded as Q3 = C; the respiratory heat of the stored food Q4 ( W), can be approximately regarded as a function of the weight of the stored items, recorded as Q4=f(G). When the storage capacity is constant, it can be approximately regarded as a constant (C), recorded as Q4=C; the cooling capacity consumed by the staff Q5(W), when the staff is constant, can be approximately regarded as a constant (C), recorded as Q5=C; the heat generated by the electric lamps and electrical equipment Q6(W), when the electrical equipment is constant, can be approximately regarded as a constant (C), recorded as Q6=C; the safety factor Q7(W), Q7=0.1.

[0063] Based on the above conditions, the cold storage load model can be simplified as follows:

[0064]

[0065] In the above formula:

[0066] Q 冷库 is the cold storage load of the cold storage;

[0067] K is the heat transfer coefficient of the cold storage enclosure structure, unit is W / (m 2 ℃);

[0068] F is the area of ​​the cold storage enclosure structure, in m 2 ;

[0069] t 内 is the air temperature in the warehouse, in °C;

[0070] t 外 is the air temperature outside the warehouse, in °C;

[0071] C is the constant to be solved.

[0072] The temperature of the cold storage usually fluctuates within a certain range, that is: when the temperature of the cold storage reaches a certain upper temperature limit, the refrigeration machine starts to supply cold air to the cold storage, and the temperature of the cold storage drops accordingly; when the temperature of the cold storage reaches a certain lower temperature limit, the refrigeration machine stops operating. At this time, due to the existence of the cold storage load, the temperature of the cold storage will rise accordingly, and this cycle will be repeated. See the original operating indoor temperature curve in the figure.

[0073] When the "peak shifting and valley filling" method is adopted, a lower lower limit temperature of the cold storage can be set according to the storage conditions of the items in the warehouse, so that the cold storage body can be regarded as a cold storage device, and the lower lower limit temperature of the cold storage can store more cold capacity. If cold storage is carried out during the period of low electricity price and the cold machine is stopped during the period of high electricity price, a lot of operating costs can be saved, see the indoor temperature curve of peak shifting and valley filling.

[0074] Since the cold energy is inevitably lost when stored in the cold storage, if the cold energy is stored too early during the period of low electricity price, then when the cold machine is shut down, the stored cold energy will be lost during the period of low electricity price, which is not worth the loss; if the cold energy is stored too late during the period of low electricity price, then after the high and low electricity price conversion time, the stored cold energy will not reach the full storage effect, so the economic efficiency will be greatly reduced. It can be seen that when the cold storage reaches the lower temperature limit and the shutdown time coincides with the high and low electricity price conversion time, it is the optimal state, see Figure 2 The position of point A in the figure is used as the optimal state, so the optimal state is set as the operating constraint of the cold storage. Since the peak-valley electricity price conversion time is usually a known condition, it is only necessary to calculate the time when the cold storage needs to start running in advance based on the peak-valley electricity price conversion time.

[0075] 2. Calculate multiple model parameters based on the cold storage load model and cold storage operation constraints.

[0076] The model parameters that need to be solved here are the constant C and the heating time ΔT of the cold storage in the non-refrigeration state.

[0077] When calculating the constant C, take the refrigeration unit operating time period parameter. When the refrigeration unit is in stable operation, the refrigeration unit load = cold storage load, and we can get

[0078] Refrigeration unit load:

[0079] Q 冷机 =C 冷剂 m 冷剂 (t 回 -t 供 )

[0080] Where:

[0081] Q 冷机 is the load of the refrigeration unit, W;

[0082] C冷剂 is the specific heat of water or other cooling medium, J / (kg·℃);

[0083] m 冷剂 is the mass flow rate of water or other cooling medium, kg / s;

[0084] t 回 ,t 供 For the reheating and heating of water or other cooling media, ℃.

[0085] Cold storage load:

[0086] Q 冷库 =1.1[KF(t 外 -t 内 )+C]

[0087] when:

[0088] Q 冷机 =Q 冷库

[0089] We can get:

[0090] C=[C 冷剂 m 冷剂 (t 回 -t 供 )-1.1KF(t 外 -t 内 )]÷1.1

[0091] Through the continuous accumulation of operating parameters, a large number of constants C can be solved, and through data screening, the constant C closest to the actual situation can be obtained.

[0092] When calculating the temperature rise time ΔT of the cold storage in the non-refrigeration state, take the shutdown and startup time parameters of the refrigeration unit, record the shutdown time, startup time, indoor temperature, and outdoor temperature. The above four parameters at each moment are divided into a group. After data processing, the average outdoor temperature during the shutdown period t 外均 , indoor temperature rise during shutdown period Δt′, and shutdown period time ΔT′. Through the continuous accumulation of operating parameters, the indoor temperature rise curve after the unit is shut down under different outdoor average temperatures can be obtained as the basis for later solution of ΔT. (It can be approximately considered that the temperature rise of the cold storage is only affected by the temperature change outside, and the temperature rise curve is linear.)

[0093] Introducing temperature prediction data, the predicted outdoor temperature value t at the time when the electricity price changes from the low-price period to the high-price period 外变预 ; Δt is the temperature difference between the upper and lower limits of the indoor temperature; to the accumulated t 外均 , Δt′, ΔT′ in the database 外变预 =t 外均Parameters, under the same outdoor temperature conditions, it can be approximately assumed that the slope of the indoor temperature rise curve is the same and linear, and we can get:

[0094]

[0095] From this we get:

[0096]

[0097] This formula can be used to obtain the heating time ΔT of the cold storage in the non-refrigeration state.

[0098] 3. On the basis of obtaining the above-mentioned multiple model parameters, the model parameters can be brought into the above-mentioned cold storage load model to obtain the cold storage model.

[0099] S3. Use the cold storage model to calculate peak and valley operation parameters.

[0100] When the refrigeration unit is shut down, the indoor temperature is lower than the outside temperature, so the outside heat will enter the room through the building envelope and other means. In this case, the refrigeration unit needs to produce more cooling capacity in advance for storage to offset the heat absorbed by the room during the shutdown process. Then, through the refrigeration unit cooling capacity and unit load curve, the algorithm solution value such as the refrigeration unit operation time period can be solved.

[0101] 1. Calculate the indoor load at the initial and final time of the ΔT period.

[0102] Q 冷库 =1.1{KF(t 外 -t 内 )+C}

[0103] Input the indoor temperature at points A and B 内A (i.e. lower limit of storage temperature), t 内B (i.e. the upper limit of the storage temperature) and the predicted value of the outdoor temperature t 外A ,t 外B , the indoor load Q at points A and B can be calculated 冷库A , Q 冷库B ,Right now:

[0104] Q 冷库A =1.1{KF(t 外A -t 内A )+C}

[0105] Q 冷库B =1.1{KF(t 外B -t 内B )+C}

[0106] 2. Calculate the amount of heat absorbed indoors during the ΔT period.

[0107] Establishment time (T) and cold storage load (Q 冷库 ) coordinate system, such as Figure 3 shown.

[0108] Then, in the ΔT time period, the area enclosed by the line connecting the indoor load points A and B (approximately regarded as linear) and the time axis is the heat R absorbed by the room during the shutdown process of the refrigeration unit. AB :

[0109]

[0110] Where:

[0111] R AB is the heat absorbed by the room during the shutdown of the refrigeration unit, J;

[0112] Q 冷库A , Q 冷库B is the indoor load at points A and B, W;

[0113] ΔT is the time interval between points A and B, s.

[0114] 3. Calculate the operating time period and load temperature of the refrigeration unit.

[0115] The heat absorbed when the refrigeration unit is shut down R AB If it is equal to the cooling capacity L produced in advance by the refrigeration unit, then:

[0116] R AB =L

[0117] According to the refrigeration unit operating efficiency curve, such as Figure 4 Select the optimal efficiency point D of the refrigeration unit as the unit operating condition point, and the water temperature can be set to the outlet water temperature under the standard condition of the unit. The unit load corresponding to this point is F D , efficiency COP is η D , then the unit needs to start running time T L for:

[0118]

[0119] Where:

[0120] T L The time the unit needs to start running, s;

[0121] L is the cooling capacity produced in advance by the refrigeration unit, J;

[0122] F D is the unit load corresponding to the unit's optimal efficiency point, W.

[0123] Output:

[0124] The time for the unit to start in advance: when the low electricity price period is switched to the high electricity price period, T is calculated backwards L , the startup time can be obtained, where the startup time is the peak-valley operation parameter. After the peak-valley operation parameter is obtained, it is input into the control system of the refrigeration unit so that the control system controls the refrigeration unit to operate according to the peak-valley operation parameter.

[0125] It can be seen from the above technical scheme that this embodiment provides a peak-shifting and valley-filling control method for a cold storage, which is applied to electronic equipment, specifically obtaining the cold storage parameters of the cold storage, and various historical data of the refrigeration unit of the cold storage during operation; building a cold storage model based on the cold storage parameters and various historical data; using the cold storage model to calculate the peak-valley operation parameters, and output the peak-valley operation parameters to the control system, so that the control system controls the operation of the refrigeration unit based on the peak-valley operation parameters and the peak-valley switching time. This solution realizes the peak-shifting and valley-filling effect based on the cold storage body as an energy storage device, without the need to separately add an electric storage device or a cold storage device as an energy storage device, thereby reducing the investment in the cold storage system.

[0126] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0127] Although operations are depicted in a particular order, this should not be understood as requiring that the operations be performed in the particular order shown or in a sequential order.Multitasking and parallel processing may be advantageous under certain circumstances.

[0128] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0129] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including, but not limited to, object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as C or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer.

[0130] Figure 5 This is a block diagram of a peak-shifting and valley-filling control device for a cold storage in an embodiment of the present application.

[0131] like Figure 5 The peak-shifting and valley-filling control device for cold storage provided in this embodiment is applied to cold storage, specifically, to a control system for controlling a refrigeration unit of the cold storage, or an electronic device for controlling a refrigeration unit. The electronic device can be understood as a computer, server, cloud platform or embedded device with data computing and information processing capabilities. The peak-shifting and valley-filling control device specifically includes a parameter acquisition module 10, a model construction module 20 and a model solving module 30.

[0132] The parameter acquisition module is used to obtain the cold storage parameters and various historical data of the cold storage.

[0133] The so-called cold storage parameters refer to the data that characterize the various performances of the cold storage, such as the building materials, floor space, space volume, height, area of ​​the enclosure structure, heat transfer coefficient, etc. The various historical data here refer to the mass flow rate of the refrigerant of the refrigeration unit, temperature return, temperature supply, air temperature inside the storage, and air temperature outside the storage.

[0134] The model solving module is used to build a cold storage model based on cold storage parameters and various historical data.

[0135] The cold storage model here includes the cold storage load model and the cold storage operation constraints. Specifically, this module includes a model building unit, a parameter calculation unit and a building execution unit.

[0136] The model building unit is used to establish a cold storage load model through various loads of the cold storage, and the cold storage load model includes a plurality of model parameters that need to be solved.

[0137] The cold storage load mainly includes the temperature difference heat transfer of the cold storage enclosure structure Q1, the ventilation cooling consumption Q2, the cooling consumption of the refrigerated items in the warehouse Q3, the breathing heat of the food in the warehouse Q4, the cooling consumption of the staff Q5, the heat generated by electric lights and electrical equipment Q6 and the safety factor of the cold storage Q7.

[0138] The temperature difference heat transfer of the enclosure structure Q1 (W) can be approximately regarded as a function of the temperature difference, recorded as Q1 = f (Δt); the ventilation cooling consumption Q2 (W) can be approximately regarded as a constant (C) when the number of heat exchanges is constant, recorded as Q2 = C; the cooling consumption of refrigerated goods in the warehouse Q3 (W) can be approximately regarded as a function of the weight of the stored goods, recorded as Q3 = f (G), when the storage volume is constant, it can be approximately regarded as a constant (C), recorded as Q3 = C; the respiratory heat of the stored food Q4 ( W), can be approximately regarded as a function of the weight of the stored items, recorded as Q4=f(G). When the storage capacity is constant, it can be approximately regarded as a constant (C), recorded as Q4=C; the cooling capacity consumed by the staff Q5(W), when the staff is constant, can be approximately regarded as a constant (C), recorded as Q5=C; the heat generated by the electric lamps and electrical equipment Q6(W), when the electrical equipment is constant, can be approximately regarded as a constant (C), recorded as Q6=C; the safety factor Q7(W), Q7=0.1.

[0139] Based on the above conditions, the cold storage load model can be simplified as follows:

[0140]

[0141] In the above formula:

[0142] Q 冷库 is the cold storage load of the cold storage;

[0143] K is the heat transfer coefficient of the cold storage enclosure structure, unit is W / (m 2 ℃);

[0144] F is the area of ​​the cold storage enclosure structure, in m 2 ;

[0145] t 内 is the air temperature in the warehouse, in °C;

[0146] t 外 is the air temperature outside the warehouse, in °C;

[0147] C is the constant to be solved.

[0148] The temperature of the cold storage usually fluctuates within a certain range, that is: when the temperature of the cold storage reaches a certain upper temperature limit, the refrigeration machine starts to supply cold air to the cold storage, and the temperature of the cold storage drops accordingly; when the temperature of the cold storage reaches a certain lower temperature limit, the refrigeration machine stops operating. At this time, due to the existence of the cold storage load, the temperature of the cold storage will rise accordingly, and this cycle will be repeated. See the original operating indoor temperature curve in the figure.

[0149] When the "peak shifting and valley filling" method is adopted, a lower lower limit temperature of the cold storage can be set according to the storage conditions of the items in the warehouse, so that the cold storage body can be regarded as a cold storage device, and the lower lower limit temperature of the cold storage can store more cold capacity. If cold storage is carried out during the period of low electricity price and the cold machine is stopped during the period of high electricity price, a lot of operating costs can be saved, see the indoor temperature curve of peak shifting and valley filling.

[0150] Since the cold energy is inevitably lost when stored in the cold storage, if the cold energy is stored too early during the period of low electricity price, then when the cold machine is shut down, the stored cold energy will be lost during the period of low electricity price, which is not worth the loss; if the cold energy is stored too late during the period of low electricity price, then after the high and low electricity price conversion time, the stored cold energy will not reach the full storage effect, so the economic efficiency will be greatly reduced. It can be seen that when the cold storage reaches the lower temperature limit and the shutdown time coincides with the high and low electricity price conversion time, it is the optimal state, see Figure 2 The position of point A in the figure is used as the optimal state, so the optimal state is set as the operating constraint of the cold storage. Since the peak-valley electricity price conversion time is usually a known condition, it is only necessary to calculate the time when the cold storage needs to start running in advance based on the peak-valley electricity price conversion time.

[0151] The parameter calculation unit is used to calculate multiple model parameters based on the cold storage load model and cold storage operation constraints.

[0152] The model parameters that need to be solved here are the constant C and the heating time ΔT of the cold storage in the non-refrigeration state.

[0153] When calculating the constant C, take the refrigeration unit operating time period parameter. When the refrigeration unit is in stable operation, the refrigeration unit load = cold storage load, and we can get

[0154] Refrigeration unit load:

[0155] Q 冷机 =C 冷剂 m 冷剂 (t 回 -t 供 )

[0156] Where:

[0157] Q 冷机 is the load of the refrigeration unit, W;

[0158] C 冷剂 is the specific heat of water or other cooling medium, J / (kg·℃);

[0159] m 冷剂 is the mass flow rate of water or other cooling medium, kg / s;

[0160] t 回 ,t 供 For the reheating and heating of water or other cooling media, ℃.

[0161] Cold storage load:

[0162] Q 冷库 =1.1[KF(t 外 -t 内 )+C]

[0163] when:

[0164] Q 冷机 =Q 冷库

[0165] We can get:

[0166] C=[C 冷剂 m 冷剂 (t 回 -t 供 )-1.1KF(t 外 -t 内 )]÷1.1

[0167] Through the continuous accumulation of operating parameters, a large number of constants C can be solved, and through data screening, the constant C closest to the actual situation can be obtained.

[0168] When calculating the temperature rise time ΔT of the cold storage in the non-refrigeration state, take the shutdown and startup time parameters of the refrigeration unit, record the shutdown time, startup time, indoor temperature, and outdoor temperature. The above four parameters at each moment are divided into a group. After data processing, the average outdoor temperature during the shutdown period t 外均 , indoor temperature rise during shutdown period Δt′, and shutdown period time ΔT′. Through the continuous accumulation of operating parameters, the indoor temperature rise curve after the unit is shut down under different outdoor average temperatures can be obtained as the basis for later solution of ΔT. (It can be approximately considered that the temperature rise of the cold storage is only affected by the temperature change outside, and the temperature rise curve is linear.)

[0169] Introducing temperature prediction data, the predicted outdoor temperature value t at the time when the electricity price changes from the low-price period to the high-price period 外变预 ; Δt is the temperature difference between the upper and lower limits of the indoor temperature; to the accumulated t 外均 , Δt′, ΔT′ in the database 外变预 =t外均 Parameters, under the same outdoor temperature conditions, it can be approximately assumed that the slope of the indoor temperature rise curve is the same and linear, and we can get:

[0170]

[0171] From this we get:

[0172]

[0173] This formula can be used to obtain the heating time ΔT of the cold storage in the non-refrigeration state.

[0174] The execution unit is constructed to bring the model parameters into the cold storage load model on the basis of obtaining the above-mentioned multiple model parameters, so as to obtain the cold storage model.

[0175] The model solving module is used to calculate the peak and valley operation parameters using the cold storage model.

[0176] When the refrigeration unit is shut down, the indoor temperature is lower than the outside temperature, so the outside heat will enter the room through the building envelope and other means. In this case, the refrigeration unit needs to produce more cooling capacity in advance for storage to offset the heat absorbed by the room during the shutdown process. Then, through the refrigeration unit cooling capacity and unit load curve, the algorithm solution value such as the refrigeration unit operation time period can be solved.

[0177] 1. Calculate the indoor load at the initial and final time of the ΔT period.

[0178] Q 冷库 =1.1{KF(t 外 -t 内 )+C}

[0179] Input the indoor temperature at points A and B 内A (i.e. lower limit of storage temperature), t 内B (i.e. the upper limit of the storage temperature) and the predicted value of the outdoor temperature t 外A ,t 外B , the indoor load Q at points A and B can be calculated 冷库A , Q 冷库B ,Right now:

[0180] Q 冷库A =1.1{KF(t 外A -t 内A )+C}

[0181] Q 冷库B =1.1{KF(t 外B -t 内B )+C}

[0182] 2. Calculate the amount of heat absorbed indoors during the ΔT period.

[0183] Establishment time (T) and cold storage load (Q 冷库 ) coordinate system, such as Figure 3 shown.

[0184] Then, in the ΔT time period, the area enclosed by the line connecting the indoor load points A and B (approximately regarded as linear) and the time axis is the heat R absorbed by the room during the shutdown process of the refrigeration unit. AB :

[0185]

[0186] Where:

[0187] R AB is the heat absorbed by the room during the shutdown of the refrigeration unit, J;

[0188] Q 冷库A , Q 冷库B is the indoor load at points A and B, W;

[0189] ΔT is the time interval between points A and B, s.

[0190] 3. Calculate the operating time period and load temperature of the refrigeration unit.

[0191] The heat absorbed when the refrigeration unit is shut down R AB If it is equal to the cooling capacity L produced in advance by the refrigeration unit, then:

[0192] R AB =L

[0193] According to the refrigeration unit operating efficiency curve, such as Figure 4 Select the optimal efficiency point D of the refrigeration unit as the unit operating condition point, and the water temperature can be set to the outlet water temperature under the standard condition of the unit. The unit load corresponding to this point is F D , efficiency COP is η D , then the unit needs to start running time T L for:

[0194]

[0195] Where:

[0196] T L The time the unit needs to start running, s;

[0197] L is the cooling capacity produced in advance by the refrigeration unit, J;

[0198] F D is the unit load corresponding to the unit's optimal efficiency point, W.

[0199] Output:

[0200] The time for the unit to start in advance: when the low electricity price period is switched to the high electricity price period, T is calculated backwards L , the startup time can be obtained, where the startup time is the peak-valley operation parameter. After the peak-valley operation parameter is obtained, it is input into the control system of the refrigeration unit so that the control system controls the refrigeration unit to operate according to the peak-valley operation parameter.

[0201] It can be seen from the above technical scheme that this embodiment provides a peak-to-valley shifting and valley-filling control device for a cold storage, which is applied to electronic equipment, specifically to obtain the cold storage parameters of the cold storage, and various historical data of the refrigeration unit of the cold storage during operation; to build a cold storage model based on the cold storage parameters and various historical data; to calculate the peak-to-valley operation parameters using the cold storage model, and to output the peak-to-valley operation parameters to the control system, so that the control system controls the operation of the refrigeration unit based on the peak-to-valley operation parameters and the peak-to-valley switching time. This solution realizes the peak-to-valley shifting and valley-filling effect based on the cold storage body as an energy storage device, without the need to separately add an electric storage device or a cold storage device as an energy storage device, thereby reducing the investment in the cold storage system.

[0202] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware. The name of a unit does not limit the unit itself in some cases. For example, the first acquisition unit may also be described as a "unit for acquiring at least two Internet Protocol addresses".

[0203] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0204] Figure 6 A block diagram of an electronic device according to an embodiment of the present application.

[0205] Reference below Figure 6 , which shows a schematic diagram of the structure of an electronic device suitable for implementing the embodiments of the present disclosure. The terminal device in the embodiments of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. The electronic device is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0206] The electronic device may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory ROM 602 or a program loaded from an input device 606 into a random access memory RAM 603. In the RAM, various programs and data required for the operation of the electronic device are also stored. The processing device, ROM, and RAM are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0207] Typically, the following devices may be connected to the I / O interface: input devices including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 607 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 608 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 609. The communication device 609 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows an electronic device with various devices, it should be understood that it is not required to implement or have all the devices shown. More or fewer devices may be implemented or have alternatively.

[0208] The present application also provides an embodiment of a computer-readable storage medium.

[0209] The computer-readable storage medium is applied to an electronic device and carries one or more computer programs. When the one or more computer programs are executed by the electronic device, the electronic device obtains the cold storage parameters of the cold storage and various historical data of the refrigeration unit in the cold storage during operation; constructs a cold storage model based on the cold storage parameters and various historical data; calculates the peak and valley operation parameters using the cold storage model, and outputs the peak and valley operation parameters to the control system, so that the control system controls the operation of the refrigeration unit based on the peak and valley operation parameters and the peak and valley switching time. This solution realizes the peak shifting and valley filling function based on the cold storage body as an energy storage device, without the need to separately add power storage equipment or cold storage equipment as energy storage equipment, thereby reducing the investment in the cold storage system.

[0210] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0211] In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0212] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0213] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0214] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0215] The technical solution provided by the present invention is introduced in detail above. Specific examples are used in this article to illustrate the principle and implementation mode of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation mode and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A peak shifting and valley filling control method for cold storage, applied to electronic equipment, characterized in that: The peak shifting and valley filling control method comprises the steps of: Acquire cold storage parameters of the cold storage and various historical data of the refrigeration unit of the cold storage during operation; Building a cold storage model based on the cold storage parameters and the multiple historical data; The peak-valley operation parameters are calculated using the cold storage model, and the peak-valley operation parameters are output to the control system, so that the control system controls the operation of the refrigeration unit based on the peak-valley operation parameters and the peak-valley switching time.

2. The peak shifting and valley filling control method according to claim 1, characterized in that: The various historical data include mass flow rate, temperature recovery, supply temperature, air temperature inside the refrigeration unit, and air temperature outside the refrigeration unit.

3. The peak shifting and valley filling control method according to claim 1, characterized in that: The cold storage model is constructed based on the cold storage parameters and the multiple historical data, comprising the steps of: Construct a cold storage load model and set cold storage operation constraints; Calculate a plurality of model parameters based on the cold storage load model and the cold storage operation constraints; The cold storage model is obtained based on the multiple model parameters and the cold storage load model.

4. The peak shifting and valley filling control method according to claim 3, characterized in that: The cold storage load model is: Q 冷库 is the cold storage load of the cold storage; Q1 is the temperature difference heat transfer of the enclosure structure, which can be approximately regarded as a function of the temperature difference, denoted as Q1 = f(Δt); Q2 is the cooling capacity of ventilation, which is a constant C when the number of heat exchanges is constant; Q3 is a function of the weight of the stored items, denoted as Q3 = f(G), which is a constant C when the storage volume is constant; Q4 is the respiration heat of the food entering the warehouse, which can be approximately regarded as a function of the weight of the stored items, recorded as Q4 = f(G), which is a constant = C when the storage volume is constant; Q5 is the cooling consumption of the staff, which is a constant C when the staff is constant; Q6 is the heat generated by electric lamps and electrical equipment, which is a constant C when the electrical equipment is constant; Q7 is the safety factor of the cold storage, which can generally be taken as 0.1; K is the heat transfer coefficient of the cold storage enclosure structure, unit is W / (m 2 ℃); F is the area of ​​the cold storage enclosure structure, in m 2 ; t 内 is the air temperature in the warehouse, in °C; t 外 is the air temperature outside the warehouse, in °C; C is a constant.

5. The peak shifting and valley filling control method according to claim 3, characterized in that: The cold storage operation constraint condition is that the low temperature limit shutdown time coincides with the peak-valley electricity price switching time.

6. A peak-shifting and valley-filling control device for cold storage, applied to electronic equipment, characterized in that: The peak shifting and valley filling control device comprises: A parameter acquisition module is configured to acquire cold storage parameters of the cold storage and various historical data of the refrigeration unit of the cold storage during operation; A model building module, configured to build a cold storage model based on the cold storage parameters and the multiple historical data; The model solving module is configured to calculate the peak-valley operation parameters using the cold storage model, and output the peak-valley operation parameters to the control system, so that the control system controls the operation of the refrigeration unit based on the peak-valley operation parameters and the peak-valley switching time.

7. The peak shifting and valley filling control device according to claim 6, characterized in that: The various historical data include mass flow rate, temperature recovery, supply temperature, air temperature inside the refrigeration unit, and air temperature outside the refrigeration unit.

8. The peak shifting and valley filling control device according to claim 6, characterized in that: The model building module includes the steps of: The model building unit is configured to build a cold storage load model and set cold storage operation constraints; a parameter calculation unit, configured to calculate a plurality of model parameters based on the cold storage load model and the operation constraint conditions; A construction execution unit is configured to obtain the cold storage model based on the multiple model parameters and the cold storage load model.

9. An electronic device, characterized in that: The electronic device comprises at least one processor and a memory connected to the processor, wherein: The memory is used to store computer programs or instructions; The processor is used to execute the computer program or instruction so that the electronic device implements the peak shifting and valley filling control method according to any one of claims 1 to 5.

10. A computer-readable storage medium, applied to an electronic device, characterized in that: The storage medium carries one or more computer programs or instructions, and the one or more computer programs can be executed by the electronic device, so that the electronic device can implement the peak shifting and valley filling control method as described in any one of claims 1 to 5.

Images