A system and method for predicting the adjustable capacity of cold chain loads participating in power grid regulation

Abstract

The present invention discloses a system and method for predicting the adjustable capacity of a cold chain load participating in grid regulation in the field of grid regulation technology, including: obtaining the functional relationship between the cold chain temperature and the start-stop time of the compressor, the cold chain temperature limit preset on the trading day, and the open-door storage and access time period on the trading day; combining the cold chain temperature limit preset on the trading day with the functional relationship between the cold chain temperature and the start-stop time of the compressor, determining the start-up time period when the compressor meets the temperature requirements and the shutdown operation time period adjusted according to the peak-shaving demand; determining the compressor must start-up operation time period based on the open-door storage and access time period on the trading day; determining the compressor start-up and shutdown sequence based on the start-up time period when the compressor meets the temperature requirements, the shutdown operation time period adjusted according to the peak-shaving demand, and the compressor must start-up operation time period. The present invention can predict the adjustable capacity of the cold chain load participating in grid regulation under the premise that the cold chain load participates in grid regulation to meet the feasibility, safety, efficiency and reliability.

Description

Technical Field

[0001] The invention relates to a system and method for predicting the adjustable capacity of cold chain loads participating in power grid regulation, belonging to the technical field of power grid regulation. Background Art

[0002] In recent years, with the rapid development of new energy such as wind power and photovoltaic power in my country, the power system is gradually developing in the direction of source-load interaction and large-scale new energy consumption. However, due to the volatility and intermittency of new energy, it is very difficult to connect new energy to the grid on a large scale. In order to meet the large-scale grid connection of renewable energy, the power grid has a huge demand for auxiliary services such as peak load regulation. In addition, with the rapid development of load-side equipment in recent years, load-side controllable resources such as distributed power sources, electric vehicles, and cold chains have provided new solutions for auxiliary services such as grid peak load regulation. As a type of load-side resource, the cold chain has the characteristics of random load, high power consumption, and stable daily energy consumption.

[0003] The scale of the cold chain in China is still rising, which undoubtedly aggravates the shortage of electricity in cities. The huge load generated randomly has become a burden on the power grid. Through the construction of systems such as the power auxiliary service market, the economic regulation method is adopted to actively guide the cold chain resources to participate in the power grid regulation, which not only guarantees the interests of cold chain users, but also enables the cold chain load to operate more in the off-peak period, realizes peak shaving and valley filling, and promotes the consumption of new energy. For the cold chain load to participate in the power grid regulation system, it is first necessary to determine the ability of the cold chain load to be adjusted, which urgently requires a method to solve the problem of predicting the adjustable capacity of the cold chain. Summary of the invention

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art and to provide a system and method for predicting the adjustable capacity of cold chain loads participating in power grid regulation. On the premise of ensuring the stability of the cold chain temperature, the adjustable capacity of the cold chain loads participating in power grid regulation is predicted, thereby facilitating users to declare participation in the regulation of the power grid regulation system based on the predicted value.

[0005] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0006] In a first aspect, the present invention provides a method for predicting the adjustable capacity of cold chain loads participating in power grid regulation, comprising:

[0007] Obtain the functional relationship between the cold chain temperature and the compressor start and stop time, the cold chain temperature limit preset on the trading day, and the opening time for storing and accessing goods on the trading day;

[0008] Combine the cold chain temperature limit preset on the trading day with the functional relationship between the cold chain temperature and the compressor start and stop time to determine the compressor start time that meets the temperature requirements and the shutdown time adjusted according to the peak load demand;

[0009] Determine the time period during which the compressor must be turned on based on the time period during which the door is open for storage and retrieval of goods on the trading day;

[0010] Determine the compressor start-up and shutdown sequence based on the compressor start-up period that meets the temperature requirements, the shutdown operation period adjusted according to the peak load demand, and the compressor must be started up.

[0011] Based on the compressor start-stop sequence, the adjustable capacity of the cold chain load to participate in grid regulation is predicted.

[0012] Further, the functional relationship between the cold chain temperature and the compressor start-up and shutdown duration includes: the functional relationship between the cold chain temperature and the compressor start-up and operation duration and the functional relationship between the cold chain temperature and the compressor shutdown, wherein:

[0013] The functional relationship between the cold chain temperature and the compressor startup time is:

[0014] X=-aPY 1 +b

[0015] Y 1 ≤c

[0016] Where X is the cold chain temperature, P is the rated load power of the compressor, and Y 1 is the compressor running time, a is the linear approximate slope of the temperature drop curve, b is the initial temperature of each cooling, and c is Y 1 The upper limit of

[0017] The functional relationship between cold chain temperature and compressor shutdown is:

[0018] X=dY 2 +f

[0019] Among them, Y 2 is the compressor shutdown time, d is the linear approximate slope of the temperature rise curve, and f is the initial temperature of each shutdown.

[0020] Furthermore, the startup period of the compressor to meet the temperature requirement is Y1, and the calculation formula is:

[0021]

[0022] The shutdown operation period adjusted according to the peak load demand is Y2, and the calculation formula is:

[0023]

[0024] Among them, X t Preset cold chain temperature limits for trading days.

[0025] Furthermore, the cold chain temperature limit value X preset on the trading day t satisfy:

[0026] X1≤X t ≤X2

[0027] Among them, X1 is the lowest temperature of the cold chain, and X2 is the highest temperature that the cold chain cannot exceed.

[0028] Furthermore, the compressor must be turned on and running during a period equal to the period of time during which the door is open for storing and accessing goods on a trading day.

[0029] Furthermore, the compressor start-stop operation sequence on the trading day is:

[0030] Y1Y2Y1Y2Y3Y1Y2Y1Y2Y1Y2Y3Y1Y2Y1Y2

[0031] Among them, Y1 is the startup period that meets the temperature requirements, Y2 is the shutdown period adjusted according to the peak load demand, and Y3 indicates the duration of the compressor startup and operation and cannot be adjusted.

[0032] Furthermore, the adjustable capacity of cold chain load participating in power grid regulation includes adjustable period T n and compressor load power, where the compressor operating power is the compressor rated load power P, and the adjustable time period T n It is the corresponding shutdown operation time period in the compressor start and stop operation sequence on the trading day.

[0033] In a second aspect, the present invention provides a system for predicting the adjustable capacity of cold chain loads participating in power grid regulation, comprising:

[0034] Data acquisition module: used to obtain the functional relationship between the cold chain temperature and the start and stop time of the compressor, the cold chain temperature limit preset on the trading day, and the time period for opening the door to store and retrieve goods on the trading day;

[0035] Adjustable downtime calculation module: used to combine the cold chain temperature limit preset on the trading day with the functional relationship between the cold chain temperature and the compressor start and stop time, to determine the start time period when the compressor meets the temperature requirements and the downtime period adjusted according to the peak load demand;

[0036] The module for determining the necessary startup and operation time period is used to determine the necessary startup and operation time period of the compressor based on the time period for storing and retrieving goods on the trading day;

[0037] Compressor start-stop sequence determination module: used to determine the compressor start-stop sequence based on the compressor start-up period that meets the temperature requirements, the shutdown operation period adjusted according to the peak load demand, and the compressor must start operation period;

[0038] Prediction module: used to predict the adjustable capacity of cold chain load to participate in grid regulation based on the compressor start-stop sequence.

[0039] In a third aspect, the present invention provides a device for predicting the adjustable capacity of cold chain loads participating in power grid regulation, including a processor and a storage medium;

[0040] The storage medium is used to store instructions;

[0041] The processor is used to operate according to the instructions to execute the steps of any of the methods described above.

[0042] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of any of the above methods when executed by a processor.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] The present invention provides a method and device for predicting the adjustable capacity of a cold chain load participating in grid regulation. A cold chain temperature change model is established through historical data. The maximum adjustable stop time interval of the cold chain is obtained by analyzing the cold chain temperature change model. Based on the preset required start-up time period, a start-up and shutdown sequence of the cold chain units is constructed, thereby obtaining the adjustable capacity of the cold chain. The present invention solves the problem of predicting the adjustable capacity of the cold chain load participating in grid regulation, and can predict the adjustable capacity of the cold chain load participating in grid regulation under the premise of ensuring the stability of the cold chain temperature, laying a foundation for the participation of load-side cold chain resources in grid regulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flow chart of a method for predicting the adjustable capacity of a cold chain load participating in power grid regulation provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0046] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

[0047] Embodiment 1:

[0048] A method for predicting the adjustable capacity of cold chain loads participating in power grid regulation.

[0049] like Figure 1 As shown, this embodiment provides a method for predicting the adjustable capacity of cold chain loads participating in power grid regulation, including the following steps:

[0050] Step 1: Obtain historical data related to cold chain temperature changes, and build a functional relationship between cold chain temperature and compressor operating time based on the historical data;

[0051] In this embodiment, the historical data includes historical temperature data of the cold chain, compressor operation time data, and compressor rated load power. The functional relationship between the cold chain temperature and the compressor startup operation time is:

[0052] X=-aPY 1 +b (1)

[0053] Y 1 ≤c

[0054] Where X is the cold chain temperature, P is the rated load power of the compressor, and Y 1 is the compressor running time, a is the linear approximate slope of the temperature drop curve, which is related to the outdoor temperature and is different in summer and winter, b is the initial temperature of each cooling, and c is Y 1 The upper limit is exceeded. Even if the temperature is cooled, it will not drop any more.

[0055] The functional relationship between cold chain temperature and compressor shutdown is:

[0056] X=dY 2 +f (2)

[0057] Where X is the cold chain temperature, Y 2 is the compressor shutdown time, d is the linearized approximate slope of the temperature rise curve, which is related to the outdoor temperature and is different in summer and winter, and f is the initial temperature of each shutdown.

[0058] Step 2: Based on the preset cold chain temperature limit on the trading day, determine the start-up period of the compressor that meets the temperature requirements and the adjustable compressor shutdown time in combination with formulas (1) and (2);

[0059] In this embodiment, the cold chain temperature limit value X preset on the trading day t satisfy:

[0060] X1≤X t ≤X2 (3)

[0061] Where X1 is the lowest temperature of the cold chain, for example, the lowest temperature is preset to -21 degrees, and X2 is the highest temperature that the cold chain cannot exceed, for example -18 degrees;

[0062] The start-up period of the compressor to meet the temperature requirements is Y1, and the calculation formula is:

[0063]

[0064] The shutdown operation period adjusted according to the peak load demand is Y2, and the calculation formula is:

[0065]

[0066] Step 3: Based on the time period for storing and accessing goods on the trading day, determine the time period during which the compressor must be turned on;

[0067] In this embodiment, the preset door opening time for storing and retrieving goods is Y3, that is, the compressor must be turned on and running during the period Y3.

[0068] Step 4: Determine the start-up and shutdown sequence of the cold chain compressor based on the start-up period Y1 when the compressor meets the temperature requirement, the shutdown period Y2 adjusted according to the peak load demand, and the necessary start-up period Y3;

[0069] In this embodiment, the compressor start-stop operation sequence on a trading day is:

[0070] Y1Y2Y1Y2Y3Y1Y2Y1Y2Y1Y2Y3Y1Y2Y1Y2 (6)

[0071] Among them, the start-stop sequence represents the start-stop operation sequence of the unit that meets the cold chain temperature requirements on the trading day. Y1 represents the start-up period that meets the temperature requirements. Y2 represents the shutdown period adjusted according to the peak-shaving demand. The sequence Y1Y2 can be adjusted according to the peak-shaving demand. Y3 represents the start-up time when the warehouse door is opened for storing and retrieving goods, and it cannot be adjusted.

[0072] Step 5: Based on the pre-built compressor start-stop sequence, predict the adjustable capacity of the cold chain load to participate in the grid regulation, including the adjustable period T n and compressor load power, where the compressor operating power is the compressor rated load power P, and the adjustable time period T n It is the corresponding shutdown operation time period in the compressor start and stop operation sequence on the trading day.

[0073] Embodiment 2:

[0074] A system for predicting the adjustable capacity of cold chain loads participating in power grid regulation can implement a method for predicting the adjustable capacity of cold chain loads participating in power grid regulation described in Embodiment 1, including:

[0075] Data acquisition module: used to obtain the functional relationship between the cold chain temperature and the start and stop time of the compressor, the cold chain temperature limit preset on the trading day, and the time period for opening the door to store and retrieve goods on the trading day;

[0076] Adjustable downtime calculation module: used to combine the cold chain temperature limit preset on the trading day with the functional relationship between the cold chain temperature and the compressor start and stop time, to determine the start time period when the compressor meets the temperature requirements and the downtime period adjusted according to the peak load demand;

[0077] The module for determining the necessary startup and operation time period is used to determine the necessary startup and operation time period of the compressor based on the time period for storing and retrieving goods on the trading day;

[0078] Compressor start-stop sequence determination module: used to determine the compressor start-stop sequence based on the compressor start-up period that meets the temperature requirements, the shutdown operation period adjusted according to the peak load demand, and the compressor must start operation period;

[0079] Prediction module: used to predict the adjustable capacity of cold chain load to participate in grid regulation based on the compressor start-stop sequence.

[0080] Embodiment three:

[0081] The embodiment of the present invention further provides a device for predicting the adjustable capacity of a cold chain load participating in power grid regulation, which can implement the method for predicting the adjustable capacity of a cold chain load participating in power grid regulation described in the first embodiment, including a processor and a storage medium;

[0082] The storage medium is used to store instructions;

[0083] The processor is used to operate according to the instructions to perform the steps of the following method:

[0084] Obtain the functional relationship between the cold chain temperature and the compressor start and stop time, the cold chain temperature limit preset on the trading day, and the opening time for storing and accessing goods on the trading day;

[0085] Combine the cold chain temperature limit preset on the trading day with the functional relationship between the cold chain temperature and the compressor start and stop time to determine the compressor start time that meets the temperature requirements and the shutdown time adjusted according to the peak load demand;

[0086] Determine the time period during which the compressor must be turned on based on the time period during which the door is open for storage and retrieval of goods on the trading day;

[0087] Determine the compressor start-up and shutdown sequence based on the compressor start-up period that meets the temperature requirements, the shutdown operation period adjusted according to the peak load demand, and the compressor must be started up.

[0088] Based on the compressor start-stop sequence, the adjustable capacity of the cold chain load to participate in grid regulation is predicted.

[0089] Embodiment 4:

[0090] The embodiment of the present invention further provides a computer-readable storage medium, which can implement the method for predicting the adjustable capacity of cold chain load participating in power grid regulation described in the first embodiment, and a computer program is stored thereon, and when the program is executed by a processor, the steps of the following method are implemented:

[0091] Obtain the functional relationship between the cold chain temperature and the compressor start and stop time, the cold chain temperature limit preset on the trading day, and the opening time for storing and accessing goods on the trading day;

[0092] Combine the cold chain temperature limit preset on the trading day with the functional relationship between the cold chain temperature and the compressor start and stop time to determine the compressor start time that meets the temperature requirements and the shutdown time adjusted according to the peak load demand;

[0093] Determine the time period during which the compressor must be turned on based on the time period during which the door is open for storage and retrieval of goods on the trading day;

[0094] Determine the compressor start-up and shutdown sequence based on the compressor start-up period that meets the temperature requirements, the shutdown operation period adjusted according to the peak load demand, and the compressor must be started up.

[0095] Based on the compressor start-stop sequence, the adjustable capacity of the cold chain load to participate in grid regulation is predicted.

[0096] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0097] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0098] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0099] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0100] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for predicting the adjustable capacity of cold chain loads participating in power grid regulation, characterized in that: include: Obtain the functional relationship between the cold chain temperature and the compressor start and stop time, the cold chain temperature limit preset on the trading day, and the opening time for storing and accessing goods on the trading day; Combine the cold chain temperature limit preset on the trading day with the functional relationship between the cold chain temperature and the compressor start and stop time to determine the compressor start time that meets the temperature requirements and the shutdown time adjusted according to the peak load demand; Determine the time period during which the compressor must be turned on based on the time period during which the door is open for storage and retrieval of goods on the trading day; Determine the compressor start-up and shutdown sequence based on the compressor start-up period that meets the temperature requirements, the shutdown operation period adjusted according to the peak load demand, and the compressor must be started up. Based on the compressor start-stop sequence, predict the adjustable capacity of cold chain load to participate in grid regulation; The functional relationship between the cold chain temperature and the compressor start-up and shutdown duration includes: the functional relationship between the cold chain temperature and the compressor start-up and operation duration and the functional relationship between the cold chain temperature and the compressor shutdown, wherein: The functional relationship between the cold chain temperature and the compressor startup time is: X=-aPY 1 +b AND 1 ≤c Where X is the cold chain temperature, P is the rated load power of the compressor, and Y 1 is the compressor running time, a is the linear approximate slope of the temperature drop curve, b is the initial temperature of each cooling, and c is Y 1 The upper limit of The functional relationship between cold chain temperature and compressor shutdown is: X=dY 2 +f Among them, Y 2 is the compressor shutdown time, d is the linearized approximate slope of the temperature rise curve, and f is the initial temperature of each shutdown; The start-up period of the compressor to meet the temperature requirements is Y1, and the calculation formula is: The shutdown operation period adjusted according to the peak load demand is Y2, and the calculation formula is: Among them, X t Preset cold chain temperature limits for trading days.

2. The method for predicting the adjustable capacity of cold chain load participating in power grid regulation according to claim 1 is characterized in that: The preset cold chain temperature limit value X on the trading day t satisfy: X1≤X t ≤X2 Among them, X1 is the lowest temperature of the cold chain, and X2 is the highest temperature that the cold chain cannot exceed.

3. The method for predicting the adjustable capacity of cold chain load participating in power grid regulation according to claim 1 is characterized in that: The compressor must be turned on and running during the time period equal to the time period when the door is open for storing and accessing goods on the trading day.

4. The method for predicting the adjustable capacity of cold chain load participating in power grid regulation according to claim 1 is characterized in that: The compressor start and stop operation sequence on the trading day is: Y1Y2Y1Y2Y3Y1Y2Y1Y2Y1Y2Y3Y1Y2Y1Y2 Among them, Y1 is the startup period that meets the temperature requirements, Y2 is the shutdown period adjusted according to the peak load demand, and Y3 indicates the duration of the compressor startup and operation and cannot be adjusted.

5. The method for predicting the adjustable capacity of cold chain load participating in power grid regulation according to claim 4 is characterized in that: The adjustable capacity of cold chain load participating in power grid regulation includes adjustable period T n and compressor load power, where the compressor operating power is the compressor rated load power P, and the adjustable time period T n It is the corresponding shutdown operation time period in the compressor start and stop operation sequence on the trading day.

6. A system for predicting the adjustable capacity of cold chain loads participating in power grid regulation, characterized in that: include: Data acquisition module: used to obtain the functional relationship between the cold chain temperature and the start and stop time of the compressor, the cold chain temperature limit preset on the trading day, and the time period for opening the door to store and retrieve goods on the trading day; Adjustable downtime calculation module: used to combine the cold chain temperature limit preset on the trading day with the functional relationship between the cold chain temperature and the compressor start and stop time, to determine the start time period when the compressor meets the temperature requirements and the downtime period adjusted according to the peak load demand; The module for determining the necessary startup and operation time period is used to determine the necessary startup and operation time period of the compressor based on the time period for storing and retrieving goods on the trading day; Compressor start-stop sequence determination module: used to determine the compressor start-stop sequence based on the compressor start-up period that meets the temperature requirements, the shutdown operation period adjusted according to the peak load demand, and the compressor must start operation period; Prediction module: used to predict the adjustable capacity of cold chain load to participate in grid regulation based on the compressor start-stop sequence; The functional relationship between the cold chain temperature and the compressor start-up and shutdown duration includes: the functional relationship between the cold chain temperature and the compressor start-up and operation duration and the functional relationship between the cold chain temperature and the compressor shutdown, wherein: The functional relationship between the cold chain temperature and the compressor startup time is: X=-aPY 1 +b AND 1 ≤c Where X is the cold chain temperature, P is the rated load power of the compressor, and Y 1 is the compressor running time, a is the linear approximate slope of the temperature drop curve, b is the initial temperature of each cooling, and c is Y 1 The upper limit of The functional relationship between cold chain temperature and compressor shutdown is: X=dY 2 +f Among them, Y 2 is the compressor shutdown time, d is the linearized approximate slope of the temperature rise curve, and f is the initial temperature of each shutdown; The start-up period of the compressor to meet the temperature requirements is Y1, and the calculation formula is: The shutdown operation period adjusted according to the peak load demand is Y2, and the calculation formula is: Among them, X t Preset cold chain temperature limits for trading days.

7. A device for predicting the adjustable capacity of cold chain loads participating in power grid regulation, characterized in that: including processor and storage medium; The storage medium is used to store instructions; The processor is used to operate according to the instructions to execute the steps of the method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

Images