Control method and device with cold storage cold source system and electronic equipment

Abstract

The invention relates to the field of efficient energy application, in particular to a control method of a system with a cold storage cold source, which comprises the following steps: acquiring the working time of a power utilization area; the working mode of the cold storage cold source system is preset; obtaining a cold consumption influence value and a power consumption influence value of the power consumption area according to the working time of the power consumption area; acquiring an environment temperature predicted value, a relative humidity predicted value and a solar radiation predicted value of the power utilization area; obtaining a cold load prediction value of the cold storage cold source system according to the cold consumption influence value, the power consumption influence value and the environment temperature prediction value, the relative humidity prediction value and the solar radiation prediction value of the power consumption area; acquiring a power consumption predicted value of the power consumption area according to the power consumption influence value; according to the solar radiation prediction value of the power utilization area, obtaining a photovoltaic power generation amount prediction value of the photovoltaic power generation system; and the working mode of the cold storage cold source system is controlled according to the working time of the power utilization area, the cold load predicted value, the power consumption predicted value and the photovoltaic power generation predicted value, and efficient combined control is achieved.

Description

Technical Field

[0001] The present invention relates to the field of efficient energy applications, and more particularly, to a control method and device for a chilled energy storage system, and an electronic device. Background Art

[0002] More and more industrial parks choose to increase photovoltaic power generation to achieve the low-carbon and economic use of energy within the region. Generally, the photovoltaic power stations built in industrial parks often use the operation mode of self-consumption of the generated electricity and selling the surplus electricity to the grid. Since the feed-in tariff of photovoltaic power is lower than the flat tariff of industrial electricity, for the operators of industrial parks, maximizing the self-consumption rate of photovoltaic power generation is the most economically beneficial. However, due to the unevenness of photovoltaic power generation in time and the difference in the load distribution of electrical equipment in each period, the self-consumption rate of some photovoltaic power stations is low and the investment payback period is long. For industrial parks with photovoltaic, battery energy storage systems, and chilled energy storage systems, theoretically, through reasonable scheduling control, a high self-consumption rate of photovoltaic power generation can be achieved, the electricity consumption of the main grid during peak or spike periods can be reduced to achieve a lower electricity cost. However, due to the uncertainty of photovoltaic power generation, the time-varying nature of the electrical load, and the diverse operation modes of the chilled energy storage system, it is very difficult to achieve good results only by relying on manual scheduling based on experience. At present, there is also a lack of control methods and devices for jointly scheduling various systems in this application scenario. Summary of the Invention

[0003] The present invention aims to overcome at least one defect (shortcoming) of the above-mentioned prior art, and provides a control method and device for a chilled energy storage system, and an electronic device, which are used to achieve the effect of controlling the chilled energy storage system.

[0004] According to a first aspect of the present application, there is provided a control method for a chilled energy storage system, the method comprising:

[0005] Obtaining the working hours of the power consumption area;

[0006] Presetting the working mode of the chilled energy storage system;

[0007] Obtaining the cooling influence value and the power consumption influence value of the power consumption area according to the working hours of the power consumption area;

[0008] Obtaining the predicted value of the environmental temperature, the predicted value of the relative humidity, and the predicted value of the solar radiation of the power consumption area;

[0009] Obtaining the predicted value of the cooling load of the chilled energy storage system according to the cooling influence value, the power consumption influence value, the predicted value of the environmental temperature, the predicted value of the relative humidity, and the predicted value of the solar radiation of the power consumption area;

[0010] Obtaining the predicted value of the power consumption of the power consumption area according to the power consumption influence value;

[0011] Obtain the predicted photovoltaic power generation of the photovoltaic power generation system according to the predicted value of solar radiation in the power consumption area;

[0012] Control the working mode of the chilled energy storage system according to the working hours of the power consumption area, the predicted value of chilled load, the predicted value of power consumption, and the predicted value of photovoltaic power generation.

[0013] The control method of the chilled energy storage system can jointly dispatch each system in the actual application scenario with multiple systems such as a photovoltaic power generation system, a commercial power system, and a storage battery, fully reducing the production cost and improving the production efficiency.

[0014] Optionally, the preset working modes of the chilled energy storage system include one or more of a chilled energy storage mode of the cold source, a chilled storage tank cold release mode, a cold source direct supply mode, a combined supply mode of the cold source and the chilled storage tank, and a simultaneous storage and supply mode of the cold source.

[0015] The preset working modes of the chilled energy storage system can achieve automated management, reduce manual intervention, save time and effort, facilitate the control system to quickly enter the working state according to the preset modes, and there is no need to reconfigure parameters each time; the preset working modes are usually designed based on best practices or standard processes, which can reduce errors caused by improper human operation, and can also ensure that each operation is carried out according to the preset rules, avoiding inconsistent results caused by various environmental factors, etc. The preset modes can quickly restore the system to a safe state and reduce the impact of faults on the system. etc. The preset working modes of the chilled energy storage system are a key step in the control strategy and play an important role.

[0016] Optionally, the controlling the working mode of the chilled energy storage system according to the working hours of the power consumption area, the predicted value of chilled load, the predicted value of power consumption, and the predicted value of photovoltaic power generation includes:

[0017] Obtain the current effective cooling capacity of the chilled storage tank in the chilled energy storage system;

[0018] Obtain the total predicted chilled load of the chilled energy storage system throughout the day according to the predicted value of chilled load;

[0019] Compare the size of the effective cooling capacity and the total predicted chilled load to obtain a first size comparison result;

[0020] Control the working mode of the chilled energy storage system according to the first size comparison result.

[0021] Optionally, the controlling the working mode of the chilled energy storage system according to the first size comparison result specifically includes:

[0022] If the effective cooling capacity is greater than or equal to the predicted value of the total cooling load, control the chilled energy storage system to execute the chilled water tank discharging mode;

[0023] If the effective cooling capacity is less than the predicted value of the total cooling load, obtain the first difference result between the effective cooling capacity and the predicted value of the total cooling load;

[0024] Control the operating mode of the chilled energy storage system according to the first difference result.

[0025] The part that obtains real-time data and predicted value data adjusts the control strategy. Controlling based on data can help managers or control systems more accurately evaluate the current situation, identify problems, and predict trends. At the same time, it reduces human subjective judgment and bias, and avoids affecting the accuracy of control due to various factors such as the environment. By collecting data through multiple sensors and feeding it back to the automated control system, automatic adjustment and optimization of the production process can be achieved. The real-time nature of data prediction enables the control system to quickly respond to changes and timely adjust the control strategy. In short, control based on data can bring higher efficiency, better decision-making support, and stronger adaptability to enterprises, organizations, or systems, improving the efficiency of the entire control strategy.

[0026] Optionally, the controlling the operating mode of the chilled energy storage system according to the first difference result includes:

[0027] Preset the cold capacity ratio of the cold source equipment system in the chilled energy storage system when the cold source equipment system and the chilled water tank supply cooling jointly;

[0028] Preset a unit time. The photovoltaic power generation system corresponds to a predicted value of the photovoltaic power generation amount for each unit time, and the power consumption area corresponds to a predicted value of the power consumption amount for each unit time;

[0029] Perform a difference calculation on the predicted value of the photovoltaic power generation amount for each unit time and the predicted value of the power consumption amount for the corresponding unit time to obtain a second difference result;

[0030] Control the operating mode of the chilled energy storage system according to the second difference result and the cold capacity ratio.

[0031] The second difference result is the surplus of the photovoltaic power generation amount. Use the second difference result to turn on the cold source equipment system, and use the surplus of the photovoltaic power generation amount for cooling the cold source equipment system to realize the application of the photovoltaic power generation system.

[0032] Optionally, the controlling the operating mode of the chilled energy storage system according to the second difference result and the cold capacity ratio includes:

[0033] Calculate the unit - time distribution for starting the cold - source equipment system for direct cooling or cold storage and the corresponding proportion of the allowable cooling capacity to be started according to the second - difference results per unit time;

[0034] Correspond the proportion of the allowable cooling capacity and the working time for each unit time to obtain a corresponding result;

[0035] The cold - storage cold - source system corresponds to a cold - load prediction value for each unit time;

[0036] Calculate the working interval R for the effective cooling capacity to supply cooling and / or cold storage to the power - using area according to the cold - load prediction value corresponding to each unit time;

[0037] Judge whether the working interval R belongs to the interval of the corresponding result;

[0038] If the working interval R is not within the interval of the corresponding result, control the cold - storage cold - source system to execute the cold - release mode of the cold - storage tank;

[0039] If the working interval R is within the interval of the corresponding result, obtain the proportion of the allowable cooling capacity and in the working interval R of the cold - source equipment system;

[0040] Compare the proportion of the cooling capacity and with the second - difference results to obtain a second size - comparison result;

[0041] Control the working mode of the cold - storage cold - source system according to the second size - comparison result.

[0042] Controlling the working mode of the cold - storage cold - source system according to the second size - comparison result specifically includes:

[0043] If the proportion of the cooling capacity and is greater than or equal to the sum of all second - difference results, control the working mode of the cold - storage cold - source system according to the proportion of the allowable cooling capacity to be started, specifically:

[0044] If the cold - load prediction value for a certain unit time is greater than the proportion of the allowable cooling capacity to be started for the corresponding unit time, control the cold - storage cold - source system to execute the combined supply mode of the cold source and the cold - storage tank;

[0045] If the cold - load prediction value for a certain unit time is less than or equal to the proportion of the allowable cooling capacity to be started for the corresponding unit time, and the effective cooling capacity of the cold - storage tank is the maximum cold - storage capacity, control the cold - storage cold - source system to execute the direct - supply mode of the cold source;

[0046] If the cold - load prediction value for a certain unit time is less than or equal to the proportion of the allowable cooling capacity to be started for the corresponding unit time, and the effective cooling capacity of the cold - storage tank has not reached the maximum cold - storage capacity, control the cold - storage cold - source system to execute the mode of simultaneous cold storage and supply of the cold source;

[0047] If the sum of the cooling capacity ratios is less than the sum of all the second difference results, then sum the cooling capacity ratio and the effective cooling capacity to obtain the total cooling capacity, and control the operating mode of the chilled energy storage system according to the total cooling capacity. Specifically:

[0048] Obtain the working interval R1 for cooling and / or storing chilled energy for the power consumption area with the total cooling capacity;

[0049] If there is a peak or spike electricity price period after the total cooling capacity is used for cooling and / or storing chilled energy for the power consumption area, within the electricity price time:

[0050] If a certain unit time is not within the working interval R1 but within the working time R, the electricity price is in the peak / spike period, the predicted value of the cooling load in this unit time is greater than the allowable cooling capacity ratio that can be started in the corresponding unit time, and the effective cooling capacity of the chilled water storage tank has not reached the maximum chilled energy storage capacity, control the chilled energy storage system to execute the combined supply mode of the cold source and the chilled water storage tank in the corresponding unit time;

[0051] If a certain unit time is not within the working interval R1 but within the working time R, the predicted value of the cooling load in this unit time is less than or equal to the allowable cooling capacity ratio that can be started in the corresponding unit time, and the effective cooling capacity of the chilled water storage tank has not reached the maximum chilled energy storage capacity, control the chilled energy storage system to execute the mode of storing and supplying while cooling at the cold source in the corresponding unit time;

[0052] If a certain unit time is not within the working interval R1 but within the working time R, the predicted value of the cooling load in this unit time is less than or equal to the allowable cooling capacity ratio that can be started in the corresponding unit time, and the effective cooling capacity of the chilled water storage tank has reached the maximum chilled energy storage capacity, control the chilled energy storage system to execute the direct supply mode of the cold source in the corresponding unit time;

[0053] If a certain unit time is not within the working interval R1, the electricity price is in the valley / flat period, and the effective cooling capacity of the chilled water storage tank has not reached the maximum chilled energy storage capacity, control the chilled energy storage system to execute the mode of storing and supplying while cooling at the cold source in the working interval R;

[0054] If a certain unit time is not within the working interval R1, the electricity price is in the valley / flat period, and the effective cooling capacity of the chilled water storage tank has reached the maximum chilled energy storage capacity, control the chilled energy storage system to execute the direct supply mode of the cold source in the working interval R;

[0055] If there is no peak or spike electricity price period after the total cooling capacity is used for cooling and / or storing chilled energy for the power consumption area, within the electricity price time:

[0056] If a certain unit time is within the working time R and the predicted value of the cooling load in this unit time is greater than the proportion of the cooling capacity allowed to be turned on in the corresponding unit time, control the cold source system to execute the combined supply mode of the cold source and the cold storage tank in the corresponding unit time;

[0057] If a certain unit time is within the working time R and the predicted value of the cooling load in this unit time is less than or equal to the proportion of the cooling capacity allowed to be turned on in the corresponding unit time, and the effective cooling capacity of the cold storage tank has not reached the maximum cooling storage capacity, control the cold source system to execute the mode of storing and supplying while cooling in the corresponding unit time;

[0058] If a certain unit time is within the working time R and the predicted value of the cooling load in this unit time is less than or equal to the proportion of the cooling capacity allowed to be turned on in the corresponding unit time, and the effective cooling capacity of the cold storage tank has reached the maximum cooling storage capacity, control the cold source system to execute the direct supply mode of the cold source in the corresponding unit time.

[0059] After the photovoltaic power generation system meets its own load demand, if there is a surplus, this part of the surplus electric energy can be used to drive the cold source equipment system, which is the second difference result. During the operation of the cold source equipment system, according to the real-time monitored cooling capacity demand data and combined with the storage situation of the cold storage tank, select an appropriate preset working mode to achieve the optimal allocation of energy, which helps to reduce the electricity cost, improve the operation efficiency of the whole system, and then improve the production operation efficiency, providing strong support for the sustainable development of the enterprise.

[0060] Optionally, a control method for a cold source system with cold storage further includes:

[0061] If it is within the non-working time of the power consumption area and the electricity price is at the valley value, the cold source system with cold storage executes the cold storage mode; and / or,

[0062] The power consumption area further includes a storage battery, and the preset working modes of the storage battery include one or more of charging, discharging, and standby;

[0063] Obtain the power consumption power of the power consumption area and the photovoltaic power generation power of the photovoltaic power generation system within a unit time;

[0064] Perform a difference calculation on the power consumption power of the power consumption area and the photovoltaic power generation power of the photovoltaic power generation system within the unit time to obtain a third difference result, and control the working mode of the storage battery according to the peak, valley, flat, and valley period information of the electricity price and the third difference result.

[0065] Optionally, controlling the working mode of the storage battery according to the peak, valley, flat, and valley period information of the electricity price and the third difference result includes:

[0066] If the electricity price in a certain unit time is at a valley value, the storage battery is charged until it is full or the valley - period electricity - price period has ended;

[0067] If the electricity price in a certain unit time is at a flat value and the third - difference result is positive, and there is no spike or peak - electricity - price period within the corresponding day - time of this unit time, the storage battery discharges at a power less than or equal to the third - difference result and the set maximum discharge electric power;

[0068] If the electricity price in a certain unit time is at a flat value and the third - difference result is positive, and there is a spike or peak - electricity - price period within the corresponding day - time of this unit time and the electricity quantity of the storage battery has not reached the maximum storage capacity, it is charged according to the set maximum charging - power command;

[0069] If the electricity price in a certain unit time is at a peak value and the third - difference result is positive, it discharges at a power less than or equal to the third - difference result and the set maximum discharge electric power until it is completely discharged;

[0070] If the electricity price in a certain unit time is at a spike value and the third - difference result is positive, the storage battery is discharged at a power less than or equal to the smaller value of the third - difference result and the set maximum discharge power until the electricity quantity of the storage battery is completely discharged.

[0071] Controlling the working mode of the storage battery according to the peak, valley, flat, and spike period information of the electricity price can, by reasonably arranging the operation of the storage battery in different electricity - price periods, store electricity during the low - valley electricity - price period (such as at night), and supply power instead of the mains power during the spike or peak electricity - price period, thereby reducing unnecessary electricity consumption, significantly reducing electricity - bill expenditure. The time - of - use electricity - price mechanism guides users to adjust their electricity - using behaviors through price signals, reduces the electricity - load during the peak period, and increases the electricity demand during the low - valley period, thereby balancing the load fluctuation of the power grid and improving the operation efficiency of the power system. By using the time - of - use electricity - price information, the equipment can flexibly adjust the operation mode according to the electricity - price period. Through intelligent control strategies, the equipment can dynamically adjust the operation mode according to the real - time electricity - price information, such as peak shaving and valley filling, dynamic capacity expansion, etc., thereby enhancing the flexibility and adaptability of the power system. Setting the operation of the storage battery according to the peak, valley, flat, and spike information of the electricity price can achieve economic optimization and also improve the overall operation efficiency and sustainability of the power system.

[0072] According to the second aspect of the present application, a control device for a chilled - water storage cold - source system is provided, including:

[0073] A first acquisition module, configured to acquire the working time of the electricity - using area;

[0074] A preset module, configured to preset the working mode of the chilled - water storage cold - source system;

[0075] A second acquisition module, configured to acquire a cooling influence value and a power consumption influence value of the power consumption area according to the working hours of the power consumption area;

[0076] A third acquisition module, configured to acquire a predicted environmental temperature value, a predicted relative humidity value, and a predicted solar radiation value of the power consumption area;

[0077] A fourth acquisition module, configured to acquire a predicted cooling load value of the chilled heat source system according to the cooling influence value, the power consumption influence value, the predicted environmental temperature value, the predicted relative humidity value, and the predicted solar radiation value of the power consumption area;

[0078] A fifth acquisition module, configured to acquire a predicted power consumption value of the power consumption area according to the power consumption influence value;

[0079] A sixth acquisition module, configured to acquire a predicted photovoltaic power generation amount of the photovoltaic power generation system according to the predicted solar radiation value of the power consumption area;

[0080] A control module, configured to control the working mode of the chilled heat source system according to the working hours of the power consumption area, the predicted cooling load value, the predicted power consumption value, and the predicted photovoltaic power generation amount.

[0081] According to a third aspect of the present application, there is provided an electronic device, including:

[0082] A memory, configured to store one or more computer programs;

[0083] A processor, when the one or more computer programs are executed by the processor, implements a control method for a chilled heat source system according to the first aspect described above.

[0084] According to a fourth aspect of the present application, there is provided a computer-readable storage medium, where the computer-readable storage medium stores computer instructions, and the computer instructions are used to implement a control method for a chilled heat source system according to the first aspect described above when executed by a processor.

[0085] Based on any of the above aspects, a control method, device, electronic device, and computer storage medium for a cold storage source system provided by an embodiment of the present application are directed to an electricity consumption area with a photovoltaic power generation system, a cold storage source system, and a battery energy storage system. According to the predicted value of photovoltaic power generation, the predicted value of the electricity load in the electricity consumption area, and the predicted value of power consumption, flexible scheduling is performed on the charge and discharge mode of the battery energy storage system and the operation mode of the cold storage source system with cold storage. When there is surplus photovoltaic power generation, as much as possible of the excess power generation is used for direct cooling, cold storage, and battery energy storage. When the photovoltaic power generation is insufficient, the cold storage tank is used to release cold and the battery is discharged to reduce the demand for municipal power in the park. Moreover, the cold storage tank releasing cold and the battery discharging should be preferentially used during the peak electricity price and sharp peak periods to achieve the purpose of reducing the electricity cost in the park. The cold storage tank also plays a part of the energy storage role, and thus the investment in the battery energy storage system can be reduced, and the operation efficiency of the entire system can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0086] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0087] Figure 1 FIG. is a schematic application scenario diagram of a control method for a cold storage source system provided in this embodiment.

[0088] Figure 2 FIG. is a flowchart of a control method for a cold storage source system provided in this embodiment.

[0089] Figure 3 FIG. is a schematic diagram of the functional modules of a control device for a cold storage source system provided in this embodiment.

[0090] Figure 4 FIG. is a schematic structural diagram of an electronic device provided in this embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0091] The drawings of the present application are only for illustrative purposes and cannot be construed as a limitation to the present application. For better illustrating the following embodiments, some components in the drawings will be omitted, enlarged, or reduced, and do not represent the size of the actual product. For those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0092] To enable those skilled in the art to better understand the solution of this application, the following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all of them. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0093] It should be noted that the terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances so that the embodiments of this application described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0094] In terms of energy utilization, since the on-grid electricity price of photovoltaic power is lower than the flat-section electricity price of industrial electricity, for the operators of industrial parks, maximizing the self-use rate of photovoltaic power generation is the most economically efficient. However, due to the unevenness of photovoltaic power generation in time and the differences in the load distribution of electrical equipment in each period, the self-use rate of some photovoltaic power stations is relatively low, and the investment payback period is relatively long. For example, in a general photovoltaic power station, during the period from 12:00 to 14:00 in the afternoon when sunlight is sufficient, the power generation is relatively large. However, this is often the time when workers get off work and rest, the equipment is shut down, and the electricity load is relatively low. In the period from 15:00 to 18:00 in the afternoon, the factory is still in operation, but at this time, due to the gradual decrease in sunlight intensity, the photovoltaic power generation decreases and cannot meet the demand for production electricity, and it is necessary to use commercial power to supplement. However, this time range often includes peak electricity prices or even spike electricity price periods, resulting in unsatisfactory economic benefits. For this problem, it is technically an ideal solution to use batteries to store the excess photovoltaic power generation and then discharge it for the electricity load when the light is insufficient. However, due to the problems of high cost, short effective service life, and long investment payback period of battery energy storage, it is necessary to solve the problem of jointly controlling the photovoltaic power generation system, chilled water storage cooling source system, and storage battery.

[0095] This embodiment provides a technical solution that can solve the above problems. The following will describe the specific implementation manners of this application in detail with reference to the accompanying drawings.

[0096] Exemplarily, it is a schematic diagram of a control application scenario of a chilled energy storage system provided for the embodiments of the present application. As Figure 1 shown, the application scenario at least includes a server 100 and a terminal 200 that can communicate with the server 100. The server 100 has the function of collecting and storing data; the terminal device 200 has the function of processing data.

[0097] It can be understood that the server 100 can be an independent electronic device or a cluster composed of multiple electronic devices; the terminal 200 can be a smart phone terminal, a personal computer, a tablet computer, a vehicle-mounted terminal, etc., but is not limited thereto.

[0098] In an implementable manner, the server 100 and the terminal 200 can respectively execute the control method of the chilled energy storage system provided for the embodiments of the present application. Alternatively, optionally, part of the control method of the chilled energy storage system provided for the embodiments of the present application is executed in the server 100 and part is executed in the terminal 200.

[0099] As Figure 2 shown, this embodiment provides a control method for a chilled energy storage system, which may include the following steps:

[0100] S110. Obtain the working hours of the power consumption area;

[0101] In this embodiment, the power consumption area may only include a photovoltaic power generation system and a chilled energy storage system, or may include multiple systems such as a photovoltaic power generation system and a chilled energy storage system. The working hours refer to the specific operating time of the equipment, and the specific operating time of the equipment can be obtained according to the working hours of the personnel, so as to obtain the relevant data required by the control system.

[0102] In an alternative implementation manner, the control device obtains the working hours of the personnel in the power consumption area, including mainly the commuting time, working day and rest day information, and judges the equipment operating time of the chilled energy storage system according to the working hours of the personnel. The chilled energy storage system needs to store cold at night and release cold during the day. The method for obtaining the equipment operating time includes but is not limited to this.

[0103] S120. Preset the working mode of the chilled energy storage system;

[0104] In this embodiment, the working mode can be set according to the advantages of the equipment itself, or can be preset according to the needs of the power consumption area, or the advantages of the equipment itself and the needs of the power consumption area can be used to preset the working mode of the chilled energy storage system.

[0105] In an alternative implementation, the working modes of the chilled energy storage system are preset according to the advantages of the device itself and the needs of the power consumption area, specifically including: chilled energy storage mode of the cold source, cold release mode of the chilled storage tank, direct cold supply mode of the cold source, combined cold supply mode of the cold source and the chilled storage tank, and simultaneous cold storage and supply mode of the cold source; The chilled energy storage mode of the cold source means that the cold source device converts electrical energy into cooling capacity and stores it in the chilled storage tank. This mode is generally applied during the valley period of electricity prices, such as 0:00 - 8:00 in some areas (the valley period of electricity prices may vary due to different regions); The cold release mode of the chilled storage tank means releasing the stored cooling capacity in the chilled storage tank for use by the air-conditioning terminal. Considering economy, this mode should be preferentially applied during the peak and sharp peak periods of electricity prices to avoid turning on high-power cold source devices for refrigeration during this period; The direct cold supply mode of the cold source means turning on the cold source device for refrigeration and directly supplying cold to the air-conditioning terminal equipment. This mode is generally applied in the following scenarios: when there is a cold load demand at the current air-conditioning terminal, the cooling capacity of the chilled storage tank has been consumed, or there is still cooling capacity stored in the chilled storage tank but it needs to be reserved for use during the period of higher electricity prices on the same day; The combined cold supply mode of the cold source and the chilled storage tank means that the cold source device and the chilled storage tank jointly provide cooling capacity for the air-conditioning terminal equipment. At this time, generally, the cold source device is partially put into operation, and its electric power is less than the electric power at full load; This mode is generally applied in the following scenarios: when the current cold load demand of the air-conditioning terminal is large, but it is not suitable to completely use the direct cold supply mode of the cold source or the cold release mode of the chilled storage tank from the economic aspect; The simultaneous cold storage and supply mode of the cold source means turning on the cold source device for refrigeration, where a part of its cooling capacity is directly supplied to the air-conditioning terminal for use, and the other part is stored in the chilled storage tank. This mode is generally applied when the electricity price of the mains supply is relatively low or there is a surplus of photovoltaic power generation at the current time, but the subsequent period with cold demand is at the sharp peak or peak of the electricity price;

[0106] It can be understood that the data obtained and recorded by the control device from the chilled energy storage system includes power consumption, power consumption, cold load of the air-conditioning terminal, current stored cooling capacity of the chilled storage tank, and system operation status. The recording period is 5 minutes. The control commands sent by the control device to the chilled energy storage system include working mode selection commands (chilled energy storage of the cold source, cold release of the chilled storage tank, direct cold supply of the cold source, combined cold supply of the cold source and the chilled storage tank, simultaneous cold storage and supply of the cold source), and cold source capacity adjustment commands. The cold source capacity adjustment commands are used to control the percentage of the cold source device's capacity input, such as inputting 0%, 25%, 50%, 75%, 100%, etc.

[0107] S130. Obtain the cooling influence value and power consumption influence value of the power consumption area according to the working time of the power consumption area;

[0108] In this embodiment, the cooling influence value is related to the cooling demand, and the power consumption influence value is related to the power consumption.

[0109] In a preferred implementation, the power consumption area is divided into n units according to the same or similar working and resting time of the personnel. The work and rest of the n units will affect the cooling load and power consumption respectively. Dividing the power consumption area into n units facilitates data statistics and prediction. In order to distinguish and explain, when explaining the impact of these n units on the cooling load, they are marked as Ln, that is, units L1, L2, ..., L n ; When explaining the impact of these n units on power consumption, it is marked as D n , that is, units D1,D2,...,D n .

[0110] In an optional implementation, the method for obtaining the cold impact value is that the control device automatically obtains or manually inputs the work calendar from the attendance system, mainly the information of commuting time, working days and rest days, and runs the corresponding logic to automatically identify each hour L1~L n The cooling impact value of each unit, such as a certain hour of a unit is working time, the cooling impact value of the hour is set to: the design cooling load of the unit / total design load; if there is no working time, it is set to 0. Take one of the units as an example, its 24-hour cooling impact values ​​are L1_00~L1_23. Assuming that the cooling impact value of a certain hour is set to 0.05, if the working time of unit L1 is 8 o'clock and the off-duty time is 18 o'clock, then the cooling impact value of L1_08~L1_17 is 0.05, and the cooling impact value of L1_00~L1_07 and L1_18~L1_23 is 0; in a specific implementation method, the cooling impact value is mainly related to the cooling demand. For example, there is a short off-duty time at noon, but cooling is actually needed at this time, so this period of time can be set as working time. The calculation of Ln_0~Ln_23 of other units is similar. After the above calculation, the cooling impact value of n units corresponding to a certain hour is obtained by accumulation, and the total cooling impact value in that hour is calculated as TL#=L1_#+L2_#+...+L n _#, the symbol # represents the #th hour of the day, which is a value between 0 and 23.

[0111] The control device automatically obtains or manually inputs the work calendar from the attendance system, mainly the information of commuting time, working days and rest days, and runs the corresponding logic to automatically mark each hour D1~D nThe power consumption impact value of each unit, if a certain hour of a unit is working time, the power consumption impact value of that hour is set to the design power of the unit, and if it is not working, it is set to 0. Take unit D1 as an example, its 24-hour power consumption impact values ​​are D1_00~D1_23. Assuming that the design power of unit D1 = 36kW, if the working time of unit D1 is 8 o'clock and the off-duty time is 12 o'clock, the power consumption impact value of D1_08~D1_11 is 36, and the power consumption impact value of D1_00~L1_07 and L1_12~L1_23 is 0; note that this power consumption impact value is mainly related to power consumption. If the main equipment is still running after get off work, this period of time can be set as working time. The calculation of Dn_00~Dn_23 of other units is similar. After the above calculations, the power consumption impact value of n units corresponding to a certain hour is accumulated to calculate the power consumption impact value of that hour TD#=D1_#+D2_#+...+Dn_#, where the symbol # is the #th hour of the day and is a value between 0 and 23. The method for obtaining the cooling impact value and the power consumption impact value includes but is not limited to this.

[0112] S140, obtaining the predicted value of ambient temperature, predicted value of relative humidity, and predicted value of solar radiation in the power consumption area;

[0113] In this embodiment, the predicted value of ambient temperature, predicted value of relative humidity, and predicted value of solar radiation in the power consumption area can be obtained by first using historical record data and related data, and then using corresponding prediction models to obtain predicted data based on the corresponding prediction models, or by using statistical analysis and time series methods, or based on big data and AI tools, etc.

[0114] In an optional implementation, the control device collects the detection values ​​of the ambient temperature and humidity sensors and the detection values ​​of the solar radiation sensor and records them at intervals of 5 minutes. The control device obtains the predicted values ​​of the temperature, relative humidity, and solar radiation values ​​per hour in the next 24 hours at the project location from the weather forecast service API on the Internet. The method of obtaining the predicted values ​​of the ambient temperature, relative humidity, and solar radiation in the power consumption area includes but is not limited to this.

[0115] S150, obtaining a cold load prediction value of the cold storage cold source system according to the cold consumption impact value and the power consumption impact value and the ambient temperature prediction value, relative humidity prediction value, and solar radiation prediction value of the power consumption area;

[0116] In this embodiment, the method for obtaining the cold load prediction value of the chilled heat source system by obtaining the predicted ambient temperature value, predicted relative humidity value, and predicted solar radiation value may be to use the cold use impact value and the power consumption impact value, or it may be by means of statistical analysis and time series methods, or it may also be based on methods such as big data and AI tools.

[0117] In an alternative implementation, the control device obtains the total cold use impact value per unit time, the hour value H (e.g., if it is currently 8 o'clock, then H = 8), and the ambient temperature, relative humidity, and solar radiation values corresponding to the hour in the weather forecast as characteristic variables according to the cold use impact value, and inputs them into the cold load prediction neural network algorithm model deployed in the control device CTRL. The cold load of the target variable is calculated, that is, the cold load prediction values GL0 to GL23 for each hour of the day, with the unit of kWh. For example, the cold load prediction value at 8 o'clock is GL8, and the cold load prediction value at 16 o'clock is GL16. Subsequently, GLn is used to represent the cold load prediction value for a certain hour. The neural network algorithm model for cold load prediction has been trained using historical data and has been deployed in the control device CTRL. The historical data includes the recorded ambient temperature, relative humidity, solar radiation values, the cold use impact value corresponding to the hour, and the actual cold load. After obtaining the cold load prediction value for each hour, GL0 to GL23 are then added up to obtain the cold load prediction value GL_Day for the whole day. Obtaining the cold load prediction value of the chilled heat source system includes but is not limited to this.

[0118] S160. Obtain the power consumption prediction value of the power consumption area according to the power consumption impact value;

[0119] In this embodiment, the power consumption prediction value of the power consumption area may be obtained according to the power consumption impact value, or other prediction methods may be directly used to obtain the power consumption prediction value of the power consumption area.

[0120] In an alternative implementation, the control device automatically obtains or manually inputs a work calendar from the attendance system, mainly including information on working hours, working days, and rest days. Based on this, it runs corresponding logic to automatically identify the power consumption impact values of each unit D1 - Dn for each hour. For example, if a certain unit is at work during a particular hour, the power consumption impact value for that hour is set to the designed electric power of the unit; if not at work, it is set to 0. Taking unit D1 as an example, its power consumption impact values for 24 hours are D1_00 - D1_23. Assume the designed electric power of unit D1 = 36kW. If the working hours of unit D1 are from 8:00 to 12:00, then the power consumption impact values of D1_08 - D1_11 are 36, while the power consumption impact values of D1_00 - D1_07 and D1_12 - D1_23 are 0. Note that this power consumption impact value is mainly related to power consumption. If the main equipment is still running after work hours, this period can be set as working hours. The calculation of Dn_00 - Dn_23 for other units is similar. After the above calculations, by accumulating the power consumption impact values of n units corresponding to a certain hour, the power consumption impact value of that hour TD# = D1_# + D2_# +... + Dn_# is calculated, where the symbol # represents the #th hour of the day, with values ranging from 0 to 23. For example, the total power consumption impact value at 8:00 in the morning TD8 = D1_08 + D2_08 +... + Dn_08, and the total power consumption impact values for other hour periods are calculated similarly. The power consumption impact value TD# of the control device for that hour and the hour value H (e.g., if it is currently 8:00, then H = 8) are used as characteristic variables and input into the power consumption load prediction neural network algorithm model deployed in the control device to calculate the hourly power consumption prediction values of other systems in the power consumption park except the chilled water storage system, that is, the power consumption prediction values GD0 - GD23 for each hour, with the unit of kWh. For example, the power consumption prediction value at 8:00 is GD8, and the power consumption prediction value at 16:00 is GD16. Subsequently, GDn represents the power consumption prediction value of a certain hour of EL2. Here, it is assumed that the neural network algorithm model for power consumption prediction has been trained using historical data (records of power consumption impact values, hour values, and actual power consumption recorded for that hour) and has been deployed in the control device. The method for obtaining the power consumption prediction value includes but is not limited to this.

[0121] S170. Obtain the predicted power generation amount of the photovoltaic power generation system according to the predicted solar radiation value of the power consumption area;

[0122] In this embodiment, obtaining the predicted power generation amount of the photovoltaic power generation system by using the predicted solar radiation value of the power consumption area can be achieved through a prediction model or other means of predicting data.

[0123] In an alternative implementation, the control device uses the hourly solar radiation value obtained from the weather forecast and the hourly value H (for example, if it is 8 o'clock, then H = 8) as characteristic variables, and inputs them into the photovoltaic power generation neural network algorithm model deployed in the control device CTRL to calculate the photovoltaic power generation of the target variable, that is, the predicted value of the photovoltaic power generation per hour PV0~PV23, with the unit of kWh. For example, the photovoltaic power generation at 8 o'clock is PV8, and the photovoltaic power generation at 16 o'clock is PV16. Subsequently, PVn represents the predicted value of the photovoltaic power generation for a certain hour. Here, it is assumed that the neural network algorithm model for photovoltaic power generation prediction has been trained using the measured values of the historical solar radiation sensor and the actual recorded hourly photovoltaic power generation data and has been deployed in the control device. The means for obtaining the predicted value of the photovoltaic power generation of the photovoltaic power generation system includes but is not limited to this.

[0124] S180. Control the working mode of the chilled water storage system according to the working hours of the power consumption area, the predicted chilled load value, the predicted power consumption value, and the predicted photovoltaic power generation value.

[0125] In this embodiment, the working mode of the chilled water storage system is controlled according to the working hours of the power consumption area, the predicted chilled load value, the predicted power consumption value, and the predicted photovoltaic power generation value. The working mode of the chilled water storage system is preset, and joint dispatching is performed according to relevant data.

[0126] In an alternative implementation, the cooling and cold release times of the chilled water storage system are determined according to the working hours of the personnel. Specifically, during the valley section electricity price period when there is no cooling supply, the chilled water storage system executes the chilled water storage mode until the chilled water storage tank is fully charged with cold; when the cooling supply starts, the control device detects the effective cold quantity in the chilled water storage tank, assumed to be TANK_L, with the unit of kWh.

[0127] The capacity of the preset cold source equipment system that can work jointly with the chilled water storage tank is specifically implemented as follows: the rated cooling capacity per hour RC of the cold source system, with the unit of kWh, is input into the control device; in addition, the rated power consumption per hour RD when the cold source system is fully loaded, with the unit of kWh, is input. There are 5 capacity input schemes for the preset cold source equipment system between 0~100%, namely RC0(0), RC1(0.25RC), RC2(0.5RC), RC3(0.75RC), RC4(RC), and their corresponding hourly power demands are RD0, RD1, RD2, RD3, RD4, with the unit of kWh, and RD0 < RD1 < RD2 < RD3 < RD4.

[0128] The control device compares the effective cooling capacity TANK_L in the cold storage tank with the total cold load forecast value GL_Day. If TANK_L≥GL_Day, the cold storage tank cooling mode is directly executed during cooling; if TANK_L<GL_Day, the difference between GL_Day and TANK_L is calculated to obtain the cooling capacity gap GTD that needs to be supplemented by the cold source equipment, in kWh, and execute according to the strategy described below:

[0129] The control device compares the hourly photovoltaic power generation prediction values ​​PV0~PV23 and the hourly power consumption prediction values ​​GD0~GD23 of other systems in the power consumption park except the cold storage source cold source system, and subtracts the hourly power consumption prediction values ​​GD0~GD23 from the photovoltaic power generation prediction values ​​of each hour, such as PG0=PV0-GD0, PG1=PV1-GD1, ..., PG23=PV23-GD23. After calculation, find out the hour that meets PG#≥RD1 and is in the cooling period (# represents 0~23 ), assuming that the hour values ​​that meet the above requirements are t1, t2, ..., tn in the order of early to late time, the corresponding cold source equipment capacities allowed to be put into use are RCt1, RCt2, ..., RCtn, RCtn refers to the cold source capacity whose corresponding electric power is less than but closest to PGtn during the period of tn. For example, PGt1 in the period of t1 has the relationship of RD3>PGt1>RD2, then the cold source capacity RC2 corresponding to the power load of RD2 is turned on in the period of t1, and the same applies to the other periods.

[0130] Taking into account the case where the cold storage tank is full, if RCtn>GLn, the excess cold of the cold source equipment cannot be stored in the cold storage tank, and the system will automatically unload and operate at the GLn load. Therefore, in this case, RCtn is corrected to the value of GLn.

[0131] Through the above calculation and correction, the time distribution {t1, t2, ..., tn} and the corresponding cold source capacity allowed to be turned on {RCt1, RCt2, ..., RCtn} are obtained when there is surplus photovoltaic power generation that can be used to turn on the cold source equipment for direct cooling or cold storage. At this time, the hourly power consumption corresponding to the cold source system with cold storage is marked as RDXn (RDX is one of the described RD1~RD4, and n corresponds to the hourly value).

[0132] According to the predicted hourly cold load demand distribution, calculate the estimated time that the cold storage tank cooling capacity TANK_L can be maintained from the current start according to the cold storage tank cooling mode. Now assume that it can be maintained for R hours.

[0133] If within a time range of R hours, there are elements distributed in {t1, t2, ..., tn} hours, these elements are distributed as ta1, ta2, ..., tak, so there is a set The corresponding allowable cooling source capacity within the set {ta1, ta2..., tak} is also marked as {RCta1, RCta2,..., RCtak}.

[0134] If (RCta1 + RCta2 +... + RCtak) ≥ GTD (cooling capacity gap), then during the time periods ta1, ta2,..., tak, the capacity RCtak of the corresponding cooling source equipment is turned on respectively. During the time period of the set {ta1, ta2..., tak}, the cooling source system executes according to the following command mode:

[0135] A. If the predicted cooling load GLn during this time period is greater than RCtak, the control device CTRL issues a combined supply mode command for the cooling source and the cold storage tank, and the cooling source capacity is RCtak;

[0136] B. If the predicted cooling load GLn during this time period is less than or equal to RCtak and the cold storage tank is full of cold, the control device CTRL issues a direct supply mode command for the cooling source, and the cooling source capacity is issued according to RCtak, and then the cooling load is self-matched inside the cooling source equipment;

[0137] C. If the predicted cooling load GLn during this time period is less than or equal to RCtak and the cold storage tank is not full of cold, the control device CTRL issues a combined storage and supply mode command for the cooling source, and the cooling source capacity is RCtak;

[0138] If (RCta1 + RCta2 +... + RCtak) (photovoltaic power generation) < GTD (cooling capacity gap), then calculate the time that the additional cold quantity (TANK_L + RCta1 + RCta2 +... + RCtak) can maintain starting from the current time. Assume it is R1 hours now. If there are peak or spike electricity price periods after R1 hours until the end of the cooling supply, then from the start of the cooling supply to the first peak or spike electricity price period after R1 hours, the cooling source system executes according to the following mode:

[0139] A1. During the time periods belonging to the set {t1, t2,..., tn}, and this time period is a peak or spike electricity price. If the predicted cooling load GLn during this time period is greater than RCtn and the cold storage tank has non-zero cold, then the control device CTRL issues a combined supply mode command for the cooling source and the cold storage tank, and the cooling source system capacity is issued according to RCtn;

[0140] B1. During the time periods belonging to the set {t1, t2,..., tn}, if the predicted cooling load GLn during this time period is less than or equal to RCtan and the cold storage tank is not 100% full of cold, then the control device CTRL issues a combined storage and supply command for the cooling source, and the cooling source system capacity is issued according to RCtn. If the cold storage tank is 100% full of cold, then a direct supply command for the cooling source is issued, and the cooling source system capacity is issued according to RCtn;

[0141] C1. From the start of cooling to before the arrival of the first peak or critical peak electricity price period after R1 hours, as long as there is a valley electricity price or flat electricity price period and the cooling capacity of the cold storage tank is not 100%, the side-cooling-and-supplying mode is issued, and the cold source system capacity operates at 100%. When the cooling capacity of the cold storage tank is 100%, it operates in the direct supply mode.

[0142] If there is no peak or critical peak electricity price period after R1 hours until the end of cooling, the cold source system executes according to the following mode:

[0143] A2. During the period belonging to the set {t1, t2,..., tn}, if the predicted cooling load GLn is greater than RCtn, the control device CTRL issues a combined supply mode command for the cold source and the cold storage tank, and the cold source system is issued according to the RCt capacity;

[0144] B2. During the period belonging to the set {t1, t2,..., tn}, if the predicted cooling load GLn is less than or equal to RCtan and the cooling capacity of the cold storage tank is not 100%, the control device issues a side-cooling-and-supplying command, and the cold source system is issued according to RCtn. If the cooling capacity of the cold storage tank is 100%, the control device issues a direct supply command for the cold source, and the cold source system automatically follows the air-conditioning terminal load.

[0145] C2. In the case where (RCta1 + RCta2 +... + RCtak) ≥ GTD (cooling capacity gap) and (RCta1 + RCta2 +... + RCtak) < GTD (cooling capacity gap) are not satisfied, the mode command is issued according to the following description during the cooling period:

[0146] a1. When there is cooling capacity in the cold storage tank, issue the cold storage tank discharging mode;

[0147] a2. When there is no cooling capacity in the cold storage tank, issue the direct supply mode for the cold source, and the cold source output capacity is adjusted by the cold source system itself;

[0148] In a preferred implementation manner, the working mode of the storage battery is controlled according to the peak, valley, flat, and valley period information of the electricity price and the third difference result, specifically:

[0149] A3. During the valley electricity price period, the control device issues a pre-set maximum charging power command to charge the storage battery until it is full or the valley electricity price period has ended.

[0150] B3. During the flat electricity price period and when the value of (electric power - photovoltaic power generation power) is positive, if there is no critical peak or peak electricity price period in the subsequent time of the day, the control device issues a discharging command to the storage battery to discharge at a power not greater than (electric power - photovoltaic power generation power) and the pre-set maximum discharging electric power; if there is a critical peak or peak electricity price period in the subsequent time of the day and the battery charge is not 100%, charge it with the pre-set maximum charging power command.

[0151] C3. When it is at the peak electricity price period and the value of (electric power consumption - photovoltaic power generation) is positive, if any one of the following four conditions is met, issue an order to discharge at a rate not greater than (electric power consumption - photovoltaic power generation) and the preset maximum discharge electric power until fully discharged.

[0152] 1. If there is no subsequent peak electricity price period on the same day;

[0153] 2. For subsequent peak periods that exist, if the predicted photovoltaic power generation PVtsn during the peak period is greater than the predicted load consumption GDtsn of the park;

[0154] 3. If there is a valley or flat electricity price period before the subsequent peak electricity price period arrives;

[0155] 4. If there is a period before the subsequent peak electricity price period arrives that satisfies (PVn - GDn - RDXn - the maximum hourly charge of the battery) being positive;

[0156] Note: PVn is the predicted value of photovoltaic power generation during this period, GDn is the electricity load value of EL2 during this period, RDXn is the load of EL1 expected to be put into use during this period, and EL1 and EL2 form the power distribution system in the power consumption area.

[0157] D3. When it is at the peak electricity price period and the value of (electric power consumption - photovoltaic power generation) is positive, if none of the above four conditions are met, and there is a subsequent peak electricity price period, if the predicted electricity gap ∑(GDn + RDXn - PVn) during the peak period is positive and greater than the current stored electricity of the battery system, issue a standby command to the battery, that is, neither charge nor discharge; if ∑(GDn + RDXn - PVn) is positive and less than the current stored electricity of the battery system, issue a discharge command to the battery until ∑(GDn + RDXn - PVn) is equal to the current stored electricity of the battery system and then enter the standby state.

[0158] Note: GDn is the electricity load value of EL2 during this period, RDXn is the load of EL1 expected to be put into use during this period, and the predicted electricity gap ∑(GDn + RDXn - PVn) during the peak period represents the cumulative value of the electricity gap for a peak period of not less than 1 hour.

[0159] E3. When it is at the peak electricity price period and the value of (electric power consumption - photovoltaic power generation) is positive, issue an order to discharge at a rate not greater than (electric power consumption - photovoltaic power generation) and the preset maximum discharge electric power until fully discharged.

[0160] F3. When none of the above conditions are met, the control device issues a standby command to the battery system, that is, neither charge nor discharge.

[0161] In a more preferred implementation, the control device calculates all data once before the start of each hour, and the time that has elapsed on the current day is no longer included in the calculation. Before the start of each hour, based on the values of the new hourly weather forecast and the current state of the system, it outputs the strategies for the subsequent hours of the current day again, and the next hour executes according to the updated strategies.

[0162] As Figure 3 shown, the embodiment of the present application also provides a control device 210 for a chilled energy storage system. Optionally, the control device 210 for the chilled energy storage system may include:

[0163] A first acquisition module 211, configured to acquire the working hours of the power consumption area;

[0164] In this embodiment, the first acquisition module 211 can be used to execute Figure 2 the step S110 shown. For the specific description of the first acquisition module 211, reference can be made to the description of the step S110.

[0165] A preset module 212, configured to preset the working mode of the chilled energy storage system;

[0166] In this embodiment, the preset module 212 can be used to execute Figure 2 the step S120 shown. For the specific description of the preset module 212, reference can be made to the description of the step S120.

[0167] A second acquisition module 213, configured to acquire the cooling influence value and the power consumption influence value of the power consumption area according to the working hours of the power consumption area;

[0168] In this embodiment, the second acquisition module 213 can be used to execute Figure 2 the step S130 shown. For the specific description of the second acquisition module 213, reference can be made to the description of the step S130.

[0169] A third acquisition module 214, configured to acquire the predicted value of the ambient temperature, the predicted value of the relative humidity, and the predicted value of the solar radiation of the power consumption area;

[0170] In this embodiment, the third acquisition module 214 can be used to execute Figure 2 the step S140 shown. For the specific description of the third acquisition module 214, reference can be made to the description of the step S140.

[0171] A fourth acquisition module 215, configured to acquire the predicted value of the cooling load of the chilled energy storage system according to the cooling influence value, the power consumption influence value, the predicted value of the ambient temperature, the predicted value of the relative humidity, and the predicted value of the solar radiation of the power consumption area;

[0172] In this embodiment, the third acquisition module 215 may be used to execute Figure 2 the steps S150 shown. For the specific description of the third acquisition module 215, reference may be made to the description of the steps S150.

[0173] A fifth acquisition module 216, configured to obtain a power consumption prediction value of the power consumption area according to the power consumption influence value;

[0174] In this embodiment, the fifth acquisition module 216 may be used to execute Figure 2 the steps S160 shown. For the specific description of the fifth acquisition module 216, reference may be made to the description of the steps S160.

[0175] A sixth acquisition module 217, configured to obtain a photovoltaic power generation prediction value of the photovoltaic power generation system according to the solar radiation prediction value of the power consumption area;

[0176] In this embodiment, the sixth acquisition module 217 may be used to execute Figure 2 the steps S170 shown. For the specific description of the sixth acquisition module 217, reference may be made to the description of the steps S170.

[0177] A control module 218, configured to control the working mode of the chilled water storage system according to the working hours of the power consumption area and the chilled load prediction value, the power consumption prediction value, and the photovoltaic power generation prediction value.

[0178] In this embodiment, the control module 218 may be used to execute Figure 2 the steps S180 shown. For the specific description of the control module 218, reference may be made to the description of the steps S180.

[0179] It can be understood that the above device embodiments and the above method embodiments can correspond to each other. Similar descriptions in the device embodiments can refer to the method embodiments. To avoid repetition, they will not be elaborated here. A control device with a chilled water storage system provided in an embodiment of the present application can execute a control method for a chilled water storage system provided in any embodiment of the present application, and has corresponding functional modules and beneficial effects for executing the method. The functional modules of the control device with a chilled water storage system can be implemented in the form of hardware, can be implemented by instructions in the form of software, and can also be implemented by a combination of hardware and software modules.

[0180] Specifically, each step of the method embodiment of the present application can be completed by the integrated logic circuit of the hardware in the processor and / or instructions in the form of software. The steps of the control method of the chilled energy storage system in combination with the embodiments of the present application can be directly embodied as being executed and completed by the hardware-encoded processor, or executed and completed by the combination of the hardware and software modules in the encoded processor. Optionally, the software module can be located in a random access memory, read-only memory, programmable read-only memory, flash memory, electrically erasable programmable memory, register and other storage media are all possible. The storage media is located in the memory, and the processor reads the information in the memory and combines its hardware to complete the steps in the above method embodiments.

[0181] Embodiment of the present application provides an electronic device 410, the structure of which is as Figure 4 shown. The electronic device 410 may be the server 100 or the terminal 200 shown in this embodiment Figure 1 shown.

[0182] As Figure 4 shown, the electronic device 410 includes a memory 411, a processor 412, a communication module 413, an input / output interface 414, etc. Optionally, the memory 411, the processor 412, the communication module 413, and the input / output interface 414 can be connected and communicate with each other through a bus 415.

[0183] The memory 411 is used to store one or more computer programs and transmit the code of the computer programs to the processor 412; when the one or more computer programs are executed by the processor 412, a control method of a chilled energy storage system in the embodiments of the present application is implemented.

[0184] Optionally, the electronic device 410 can be connected to a network through the communication module 413 to communicate with other devices, such as terminals or servers, through the network to achieve data interaction. The electronic device 410 can be various forms of digital computers, exemplarily, such as desktop computers, servers, workbenches, mainframe computers or other types of computers. The electronic device 410 can also be various forms of mobile terminals, exemplarily, such as smart phones, tablet computers, wearable devices (such as helmets, glasses, watches, etc.) and other similar mobile terminals.

[0185] Optionally, the electronic device 410 may be connected to required input / output devices, such as a keyboard, a display device, etc., through the input / output interface 414. The electronic device 410 itself may have a display device, and may also externally connect other display devices through the input / output interface 414. Optionally, a storage device, such as a hard disk, etc., may also be connected through the input / output interface 414, so that the data in the electronic device 410 can be stored in the storage device, or the data in the storage device can be read, and the data in the storage device can also be stored in the memory 411. It can be understood that the input / output interface 414 may be a wired interface or a wireless interface. According to different actual application scenarios, the devices connected to the input / output interface 414 may be components of the electronic device 410 or external devices connected to the electronic device 410 when needed.

[0186] Optionally, the memory 411 may be a volatile memory and / or a non-volatile memory. The volatile memory may be a random access memory, etc., and the non-volatile memory may be a read-only memory, a programmable read-only memory, an erasable programmable read-only memory, an electrically erasable programmable read-only memory, or a flash memory, etc.

[0187] Optionally, the computer program stored in the processor 412 may be divided into one or more modules. The one or more modules are stored in the memory 411 and executed by the processor 412 to complete the method provided by the present embodiment. The one or more modules may be a series of computer program instruction segments capable of completing specific functions, and the computer program instruction segments are used to describe the execution process of the computer program in the electronic device 410.

[0188] Optionally, the processor 412 may be various general and / or special processing components with processing and computing capabilities. Some examples of the processor 412 include but are not limited to a central processing unit, a graphics processing unit, a digital signal processor, various dedicated artificial intelligence computing chips, various processors running machine learning model algorithms, and may also be any suitable controller, microcontroller, processor, etc. The processor 412 executes the various methods and processes of the present embodiment. Exemplarily, such as a control method for a chilled water storage system in an embodiment of the present application.

[0189] Optionally, the bus 415 may include a path for transmitting information. The bus 415 may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. According to different functions, the bus 415 may be divided into an address bus, a data bus, a control bus, etc.

[0190] In an alternative implementation, an embodiment of the present application further provides a computer storage medium, on which a computer program is stored. When the computer program is executed by a computer, the computer can execute the methods in the above method embodiments. Part or all of the computer program can be loaded and / or installed on the memory 411 of the electronic device 410. When the computer program is executed by the processor 412, one or more steps of a control method for a chilled heat source system with energy storage according to an embodiment of the present application can be executed.

[0191] Optionally, the computer-readable storage medium may be a random access memory, a read-only memory, a programmable read-only memory, an erasable programmable read-only memory, an electrically erasable programmable read-only memory, etc.

[0192] Obviously, the above embodiments of the present application are merely examples for clearly illustrating the technical solutions of the present application, rather than limitations on the specific implementation manners of the present application. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the claims of the present application shall be included in the protection scope of the claims of the present application.

Claims

1. A control method for a cold storage cold source system, characterized in that, The control method is applied to an electricity consumption area with at least a photovoltaic power generation system and a chilled energy storage system, and includes: Obtain the working hours of the electricity consumption area; Preset the working modes of the chilled energy storage system; Obtain the chilled load influence value and the power consumption influence value of the electricity consumption area according to the working hours of the electricity consumption area; Obtain the predicted environmental temperature value, the predicted relative humidity value, and the predicted solar radiation value of the electricity consumption area; Obtain the predicted chilled load value of the chilled energy storage system according to the chilled load influence value, the power consumption influence value, the predicted environmental temperature value, the predicted relative humidity value, and the predicted solar radiation value of the electricity consumption area; Obtain the predicted power consumption value of the electricity consumption area according to the power consumption influence value; Obtain the predicted photovoltaic power generation value of the photovoltaic power generation system according to the predicted solar radiation value of the electricity consumption area; Control the working mode of the chilled energy storage system according to the working hours of the electricity consumption area, the predicted chilled load value, the predicted power consumption value, and the predicted photovoltaic power generation value.

2. The control method of a cold storage cold source system according to claim 1, wherein The preset working modes of the chilled energy storage system include one or more of a chilled energy storage mode, a chilled storage tank cold release mode, a chilled source direct supply mode, a combined supply mode of the chilled source and the chilled storage tank, and a simultaneous storage and supply mode of the chilled source.

3. A control method for a chilled energy storage system according to claim 1, characterized in that, The controlling the working mode of the chilled energy storage system according to the working hours of the electricity consumption area, the predicted chilled load value, the predicted power consumption value, and the predicted photovoltaic power generation value includes: Obtain the current available chilled capacity in the chilled storage tank of the chilled energy storage system; Obtain the total predicted chilled load value of the chilled energy storage system throughout the day according to the predicted chilled load value; Compare the available chilled capacity with the total predicted chilled load value to obtain a first comparison result; Control the working mode of the chilled energy storage system according to the first comparison result.

4. A control method for a chilled energy storage system according to claim 2, characterized in that, The controlling the working mode of the chilled energy storage system according to the first comparison result specifically includes: If the available chilled capacity is greater than or equal to the total predicted chilled load value, control the chilled energy storage system to execute the chilled storage tank cold release mode; If the available chilled capacity is less than the total predicted chilled load value, obtain a first difference result between the available chilled capacity and the total predicted chilled load value; Control the working mode of the chilled energy storage system according to the first difference result.

5. A control method for a cold storage cold source system according to claim 4, characterized in that, The controlling the working mode of the chilled energy storage system according to the first difference result includes: Preset the chilled capacity ratio of the chilled source equipment system when the chilled source equipment system and the chilled storage tank jointly supply cold in the chilled energy storage system; Preset a unit time. For each unit time, the photovoltaic power generation system corresponds to a predicted photovoltaic power generation value, and the electricity consumption area corresponds to a predicted power consumption value; Calculate the difference between the predicted photovoltaic power generation value of each unit time and the predicted power consumption value of the corresponding unit time to obtain a second difference result; Control the working mode of the chilled energy storage system according to the second difference result and the chilled capacity ratio.

6. The control method of a chilled energy storage source system according to claim 5, wherein The controlling the working mode of the chilled energy storage system according to the second difference result and the chilled capacity ratio includes: Calculate the unit - time distribution for starting the cold - source equipment system for direct cooling or cold storage and the corresponding proportion of allowable - opening cooling capacity according to the second - difference results per unit time; Correspond the proportion of allowable - opening cooling capacity corresponding to each unit time and the working time to obtain a corresponding result; The cold - storage cold - source system corresponds to a cold - load prediction value per unit time; Calculate the working interval R for the effective cooling capacity to supply cooling to the power - consumption area according to the cold - load prediction value corresponding to each unit time; Judge whether the working interval R belongs to the interval of the corresponding result; If the working interval R is not within the interval of the corresponding result, control the cold - storage cold - source system to execute the cold - storage tank cold - release mode; If the working interval R is within the interval of the corresponding result, obtain the proportion of allowable - opening cooling capacity and in the working interval R of the cold - source equipment system; Compare the sum of the proportion of cooling capacity with the second - difference results to obtain a second size - comparison result; Control the working mode of the cold - storage cold - source system according to the second size - comparison result; The controlling the working mode of the cold - storage cold - source system according to the second size - comparison result specifically includes: If the sum of the proportion of cooling capacity is greater than or equal to the sum of all second - difference results, control the working mode of the cold - storage cold - source system according to the proportion of allowable - opening cooling capacity. Specifically: If the cold - load prediction value of a certain unit time is greater than the proportion of allowable - opening cooling capacity of the corresponding unit time, control the cold - storage cold - source system to execute the combined supply mode of cold source and cold - storage tank; If the cold - load prediction value of a certain unit time is less than or equal to the proportion of allowable - opening cooling capacity of the corresponding unit time, and the effective cooling capacity of the cold - storage tank is the maximum cold - storage capacity, control the cold - storage cold - source system to execute the direct - supply mode of cold source; If the cold - load prediction value of a certain unit time is less than or equal to the proportion of allowable - opening cooling capacity of the corresponding unit time, and the effective cooling capacity of the cold - storage tank has not reached the maximum cold - storage capacity, control the cold - storage cold - source system to execute the mode of cold - source supply while storing cold; If the sum of the proportion of cooling capacity is less than the sum of all second - difference results, sum the proportion of cooling capacity and the effective cooling capacity to obtain the total cooling capacity, and control the working mode of the cold - storage cold - source system according to the total cooling capacity. Specifically: Obtain the working interval R1 for the total cooling capacity to supply cooling and / or store cold for the power - consumption area; If there is a peak - price or spike - price electricity - price period after the total cooling capacity supplies cooling and / or stores cold for the power - consumption area, within the electricity - price time: If a certain unit time is not within the working interval R1 but within the working time R, the electricity price is in the peak / spike period, the cold - load prediction value of this unit time is greater than the proportion of allowable - opening cooling capacity of the corresponding unit time, and the effective cooling capacity of the cold - storage tank has not reached the maximum cold - storage capacity, control the cold - storage cold - source system to execute the combined supply mode of cold source and cold - storage tank in the corresponding unit time; If a certain unit time is not within the working interval R1 but within the working time R, and the predicted value of the cooling load for this unit time is less than or equal to the proportion of the cooling capacity allowed to be turned on for the corresponding unit time, and the effective cooling capacity of the chilled water storage tank has not reached the maximum chilled water storage capacity, control the chilled water source system to operate in the mode of simultaneous chilled water storage and supply at the corresponding unit time; If a certain unit time is not within the working interval R1 but within the working time R, and the predicted value of the cooling load for this unit time is less than or equal to the proportion of the cooling capacity allowed to be turned on for the corresponding unit time, and the effective cooling capacity of the chilled water storage tank has reached the maximum chilled water storage capacity, control the chilled water source system to operate in the direct chilled water supply mode at the corresponding unit time; If a certain unit time is not within the working interval R1 and the electricity price is in the valley / flat period, and the effective cooling capacity of the chilled water storage tank has not reached the maximum chilled water storage capacity, control the chilled water source system to operate in the mode of simultaneous chilled water storage and supply in the working interval R; If a certain unit time is not within the working interval R1 and the electricity price is in the valley / flat period, and the effective cooling capacity of the chilled water storage tank has reached the maximum chilled water storage capacity, control the chilled water source system to operate in the direct chilled water supply mode in the working interval R; If after the total cooling capacity has completed cooling and / or chilled water storage for the power consumption area, there is no electricity price period with the electricity price at peak or super-peak, within the electricity price time: If a certain unit time is within the working time R, and the predicted value of the cooling load for this unit time is greater than the proportion of the cooling capacity allowed to be turned on for the corresponding unit time, control the chilled water source system to operate in the mode of combined supply of the chilled water source and the chilled water storage tank at the corresponding unit time; If a certain unit time is within the working time R, and the predicted value of the cooling load for this unit time is less than or equal to the proportion of the cooling capacity allowed to be turned on for the corresponding unit time, and the effective cooling capacity of the chilled water storage tank has not reached the maximum chilled water storage capacity, control the chilled water source system to operate in the mode of simultaneous chilled water storage and supply at the corresponding unit time; If a certain unit time is within the working time R, and the predicted value of the cooling load for this unit time is less than or equal to the proportion of the cooling capacity allowed to be turned on for the corresponding unit time, and the effective cooling capacity of the chilled water storage tank has reached the maximum chilled water storage capacity, control the chilled water source system to operate in the direct chilled water supply mode at the corresponding unit time.

7. The control method of a chilled water source system with energy storage according to claim 1 further includes: If it is within the non-working time of the power consumption area and the electricity price is in the valley period, the chilled water source execution system executes the chilled water storage mode; and / or The power consumption area further includes a storage battery, and the preset working modes of the storage battery include one or more of charging, discharging, and standby; Obtain the power consumption of the power consumption area and the photovoltaic power generation of the photovoltaic power generation system within a unit time; Perform a difference calculation on the power consumption of the power consumption area and the photovoltaic power generation of the photovoltaic power generation system within the unit time to obtain a third difference result, and control the working mode of the storage battery according to the peak, valley, flat period information of the electricity price and the third difference result.

8. The control method of a chilled water source system with energy storage according to claim 7, wherein controlling the working mode of the storage battery according to the peak, valley, flat period information of the electricity price and the third difference result includes: If the electricity price in a certain unit time is at the valley value, the storage battery is charged until it is full or the valley electricity price period has ended; If the electricity price in a certain unit time is at the flat value and the third difference result is positive, and there is no peak or spike electricity price period within the corresponding day time of this unit time, the storage battery discharges at a power less than or equal to the third difference result and the set maximum discharge electric power; If the electricity price in a certain unit time is at the flat value and the third difference result is positive, and there is a peak or spike electricity price period within the corresponding day time of this unit time and the power storage capacity of the storage battery has not reached the maximum storage capacity, it is charged according to the set maximum charging power command; If the electricity price in a certain unit time is at the peak value and the third difference result is positive, it discharges at a power less than or equal to the third difference result and the set maximum discharge electric power until it is completely discharged; If the electricity price in a certain unit time is at the spike value and the third difference result is positive, the storage battery is discharged at a power less than or equal to the smaller value of the third difference result and the set maximum discharge power until the power storage capacity of the storage battery is completely discharged.

9. A control device for a chilled energy storage cold source system, characterized in that, The control device includes: A first acquisition module, configured to acquire the working time of the power consumption area; A preset module, configured to preset the working mode of the chilled water storage system; A second acquisition module, configured to acquire the cooling influence value and the power consumption influence value of the power consumption area according to the working time of the power consumption area; A third acquisition module, configured to acquire the predicted ambient temperature value, the predicted relative humidity value, and the predicted solar radiation value of the power consumption area; A fourth acquisition module, configured to acquire the predicted cooling load value of the chilled water storage system according to the cooling influence value, the power consumption influence value, the predicted ambient temperature value, the predicted relative humidity value, and the predicted solar radiation value of the power consumption area; A fifth acquisition module, configured to acquire the predicted power consumption value of the power consumption area according to the power consumption influence value; A sixth acquisition module, configured to acquire the predicted photovoltaic power generation amount of the photovoltaic power generation system according to the predicted solar radiation value of the power consumption area; A control module, configured to control the working mode of the chilled water storage system according to the working time of the power consumption area, the predicted cooling load value, the predicted power consumption value, and the predicted photovoltaic power generation amount.

10. An electronic device, characterized in that, It includes: A memory, configured to store one or more computer programs; A processor, when the one or more computer programs are executed by the processor, implement a control method for a chilled water storage system as described in claims 1-8.

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