Mobile energy storage system scheduling method, device, computer equipment, storage medium

Abstract

The present application relates to a method, apparatus, computer equipment, storage medium, and computer program product for scheduling a mobile energy storage system. The method comprises: obtaining cold power data corresponding to different locations; constructing constraints for the mobile energy storage system based on the cold power data corresponding to the different locations; constructing a mobile energy storage scheduling model based on the constraints; determining a scheduling decision for the mobile energy storage system based on the mobile energy storage scheduling model and the constraints, so as to schedule the mobile energy storage system based on the scheduling decision. The use of this method can solve the problem of resource waste in traditional technologies and improve resource utilization.

Description

Technical Field

[0001] The present application relates to the technical field of new energy microgrid scheduling, and in particular to a mobile energy storage system scheduling method, apparatus, computer equipment, storage medium, and computer program product. Background Art

[0002] With the rapid development of the economy, the demand for cooling of buildings, important instruments and equipment is also increasing. Some buildings and equipment have intermittent cooling needs. For example, primary and secondary school classrooms do not need cooling at night, and office areas do not need cooling during non-working hours.

[0003] Currently, buildings and equipment mainly rely on fixed refrigeration tools such as air conditioners for cooling.

[0004] However, traditional refrigeration tools can only adjust their operating power according to the cooling load. Different buildings and equipment require the deployment of multiple sets of fixed refrigeration tools. During periods when cooling is not required, the fixed refrigeration tools will be idle, resulting in a waste of fixed refrigeration tools. Summary of the Invention

[0005] Based on this, it is necessary to provide a mobile energy storage system scheduling method, device, computer equipment, computer-readable storage medium and computer program product that can achieve efficient utilization of resources in response to the above technical problems.

[0006] In a first aspect, the present application provides a method for scheduling a mobile energy storage system. The method comprises:

[0007] Obtain cooling and electricity data corresponding to different locations;

[0008] Based on the cold power data corresponding to the above different locations, the constraints of the mobile energy storage system are constructed;

[0009] According to the constraint conditions, a mobile energy storage scheduling model is constructed;

[0010] According to the mobile energy storage scheduling model and the constraint condition, a scheduling decision of the mobile energy storage system is determined, so as to schedule the mobile energy storage system based on the scheduling decision.

[0011] In a second aspect, the present application also provides a mobile energy storage system scheduling device. The device includes:

[0012] Data acquisition module, used to obtain cooling and electricity data corresponding to different locations;

[0013] A constraint construction module is used to construct the constraint conditions of the mobile energy storage system according to the cold power data corresponding to the different locations;

[0014] A model building module is used to build a mobile energy storage scheduling model based on the constraint conditions;

[0015] A strategy determination module is used to determine a scheduling decision of the mobile energy storage system according to the mobile energy storage scheduling model and the constraint condition, so as to schedule the mobile energy storage system based on the scheduling decision.

[0016] In a third aspect, the present application further provides a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any of the above methods when executing the computer program.

[0017] In a fourth aspect, the present application further 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.

[0018] In a fifth aspect, the present application further provides a computer program product, which includes a computer program that implements the steps of any of the above methods when executed by a processor.

[0019] The above-mentioned mobile energy storage system scheduling method, device, computer equipment, storage medium and computer program product obtain cold power data corresponding to different locations, construct constraints of the mobile energy storage system based on the cold power data corresponding to the above-mentioned different locations, and construct a mobile energy storage scheduling model based on the constraints. Then, based on the mobile energy storage scheduling model and the constraints, a scheduling decision of the mobile energy storage system is determined, and the mobile energy storage system is scheduled based on the scheduling decision, thereby fully utilizing the mobile energy storage system, enabling the mobile energy storage system to release cold energy at different locations where cold energy is needed, without the need to deploy fixed refrigeration tools at different locations, thereby avoiding the waste of fixed refrigeration tools. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A flow chart of a mobile energy storage system scheduling method provided in an embodiment of the present application;

[0021] Figure 2 A schematic diagram of a flow chart for determining a scheduling decision for a mobile energy storage system provided in an embodiment of the present application;

[0022] Figure 3 The changes in cooling load power, wind power abandonment, and solar power abandonment over time at different locations in the embodiment of the present application;

[0023] Figure 4 The changes in the spatial position of the mobile energy storage system and the changes in the energy storage power over time in the embodiment of the present application;

[0024] Figure 5 The change of the energy storage power and energy release power of the mobile energy storage system over time in the embodiment of the present application;

[0025] Figure 6 This is a structural diagram of a mobile energy storage system scheduling device provided in an embodiment of the present application;

[0026] Figure 7 This is a diagram of the internal structure of a computer device in an embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0028] In this embodiment, a method for scheduling a mobile energy storage system is provided. This embodiment uses the method applied to a computer device as an example for illustration. It is understandable that the method can also be applied to a server, and can also be applied to a system including a computer device and a server, and is implemented through the interaction between the computer device and the server.

[0029] The mobile energy storage system in this embodiment includes units such as vehicles, phase change cold storage materials, heat pumps, and fans. The phase change materials in the mobile energy storage system have the characteristic of releasing a large amount of cold energy at the phase change temperature point. By utilizing this characteristic and combining it with the space transfer of the vehicles of the mobile energy storage system, the cold energy needs of different locations can be met. The power side of the mobile energy storage system obtains electrical energy and converts the electrical energy into cold energy for refrigeration by controlling the heat pump on its power side, so that the phase change material can store energy and store cold; the thermal side of the mobile energy storage system can flexibly adjust the fan speed to speed up the release of cold from the phase change material, thereby meeting the cold energy needs of the location.

[0030] Figure 1 A flow chart of a mobile energy storage system scheduling method provided in an embodiment of the present application is provided. The method is applied to a computer device or a server. In one embodiment, Figure 1 As shown, the following steps are included:

[0031] S101, obtaining cooling and electricity data corresponding to different locations.

[0032] In this embodiment, the cooling power data may be cooling load data for different buildings, and the cooling load data is determined based on the intermittent cooling demand at multiple different locations, such as the locations of multiple different buildings. Alternatively, when the cooling power data is a predicted value of wind power abandonment at a distributed wind turbine, and the cooling power data is a predicted value of wind power abandonment at a distributed wind turbine, the location in S101 refers to the wind abandonment location, such as the location of the distributed wind turbine. Alternatively, when the cooling power data is a predicted value of solar power abandonment at a photovoltaic owner, and the cooling power data is a predicted value of solar power abandonment at a photovoltaic owner, the location in S101 refers to the solar abandonment location, such as the location of the photovoltaic owner.

[0033] It should be noted that the intermittent cooling demand of multiple different buildings can be investigated to analyze and determine the cooling load data of different buildings. At the same time, the predicted values of abandoned wind power and abandoned solar power are obtained from the owners of distributed wind turbines and photovoltaics. The cooling power data formula (1) at location i is defined as D i :

[0034]

[0035] Wherein, i is an integer greater than zero; T is a preset scheduling period, for example, T can be set to 24 hours; t is an integer greater than or equal to 1 and less than or equal to 24 within the preset scheduling period; and They represent the cooling load power, wind curtailment power and solar curtailment power at location i in time period t respectively; D i At least and In one of the columns, the same location may have both wind power and solar power curtailment.

[0036] For example, if location 1 is a building with cooling energy demand, then:

[0037]

[0038] S102: Constructing constraints for the mobile energy storage system based on the cold power data corresponding to different locations.

[0039] In this embodiment, the constraints of the mobile energy storage system may include some or all of the following: spatial transfer constraints, energy storage constraints, consumption constraints, and cooling energy constraints. It should be noted that other constraints may be employed or added to construct the constraints of the mobile energy storage system, and this embodiment does not limit the specific constraints.

[0040] S103: Construct a mobile energy storage scheduling model based on the constraints.

[0041] In this embodiment, a mobile energy storage scheduling model is constructed, and the mobile energy storage scheduling model is shown in formulas (2) to (4). Among them, formula (2) represents the scheduling target of the mobile energy storage system, that is, minimizing the daily power supply cost, formula (3) indicates that the spatial location of the mobile energy storage system must return to the initial location at the end of scheduling, and formula (4) indicates that the energy storage of the mobile energy storage system must return to the initial energy storage at the end of scheduling.

[0042]

[0043] B ii，T =B ii，0 (3)

[0044]

[0045] Where p MPM，e Indicates the electricity price of the mobile energy storage system, which changes according to the market price, for example, it is 0.4 yuan / kW; p MPM，d represents the cooling price of the mobile energy storage system, which changes according to the market price, for example, the value is 0.5 / kW; p MPM It represents the hourly space transfer cost of the mobile energy storage system, which changes according to the market price. For example, the value is 120 yuan; represents the working power of the heat pump in the mobile energy storage system during time period t; Represents the cooling power of the mobile energy storage system at location i and in time period t; Boolean type B ii，t Refers to the spatial position of the mobile energy storage system in time period t. When its value is 1, it means the vehicle is at location i; B ii，0 Refers to the spatial position of the mobile energy storage system at the beginning of scheduling; B ii，T Refers to the spatial location of the mobile energy storage system at the end of dispatch; Represents the initial energy storage of the mobile energy storage system at the beginning of dispatch; Represents the energy storage of the mobile energy storage system at the end of scheduling.

[0046] S104 , determining a scheduling decision for the mobile energy storage system according to the mobile energy storage scheduling model and the constraint conditions, so as to schedule the mobile energy storage system based on the scheduling decision.

[0047] In this embodiment, some formulas of the mobile energy storage scheduling model require linearization, so the mobile energy storage scheduling model is treated as a classic mixed-integer linear programming problem. This embodiment uses the commercial solver Gurobi to solve the mobile energy storage scheduling model and constraints and output the solution results to determine the scheduling decision of the mobile energy storage system. It should be noted that other solvers or solution methods can also be used, and this embodiment does not limit the solution method.

[0048] The mobile energy storage system scheduling method provided in this embodiment obtains the cold electricity data corresponding to different locations; constructs the constraints of the mobile energy storage system based on the cold electricity data corresponding to different locations, and constructs a mobile energy storage scheduling model based on the constraints, and then determines the scheduling decision of the mobile energy storage system based on the mobile energy storage scheduling model and the constraints, so as to schedule the mobile energy storage system based on the scheduling decision. Since the embodiment of the present application can determine the scheduling decision of the mobile energy storage system based on the mobile energy storage scheduling model and the constraints, so as to schedule the mobile energy storage system based on the scheduling decision, the mobile energy storage system can be fully utilized, so that the mobile energy storage system can release cold energy at different locations where cold energy is needed, without the need to deploy fixed refrigeration tools at different locations, thereby avoiding the waste of fixed refrigeration tools.

[0049] Optionally, the above S102 may be implemented in the following manner:

[0050] Based on the corresponding cold power data of different locations, the spatial transfer constraints, absorption constraints, cold energy constraints and energy storage constraints of the mobile energy storage system are constructed;

[0051] Among them, the constraints include spatial transfer constraints, absorption constraints, cold energy constraints and energy storage constraints.

[0052] In this embodiment, to ensure the smooth operation of the mobile energy storage system, the mobile energy storage system must simultaneously meet spatial transfer constraints, absorption constraints, cooling energy constraints, and energy storage constraints. By establishing the constraints of the mobile energy storage system, a scheduling decision for the mobile energy storage system is determined. The mobile energy storage system is then scheduled based on the scheduling decision, achieving full utilization of the mobile energy storage system and improving its utilization rate.

[0053] Optionally, the above-mentioned spatial transfer constraints can be implemented as follows:

[0054] The spatial transfer constraint conditions include the correspondence between different spatial positions of the mobile energy storage system and different time periods, the first spatial transfer constraint condition, the second spatial transfer constraint condition, and the travel time of the vehicle of the mobile energy storage system on the route segment being greater than or equal to the preset transfer time corresponding to the route segment;

[0055] The first spatial transfer constraint condition includes that when the vehicle is at the first location in the first time period, it is at the first location or heading to the second location in the second time period. The second spatial transfer constraint condition includes that when the vehicle is at the route segment from the first location to the second location in the first time period, the vehicle is on the route segment or arrives at the second location in the second time period. The second time period is the next time period of the first time period.

[0056] In this embodiment, the spatial transfer constraints for constructing the mobile energy storage system are shown in formulas (5) to (8). The first time period is time period t, and the second time period is time period t+1. Formula (5) indicates that the mobile energy storage system has one and only one spatial location in any time period t. Formula (6) indicates that if a vehicle is at location i during time period t, it can only be at location i (i=j) or on its way to location j (i≠j) during the next time period t+1. Formula (7) indicates that if a vehicle is on the road from location i to location j during time period t, it can either still be on the road or arrive at location j during the next time period t+1. Formula (8) indicates that the travel time of a vehicle from location i to location j is greater than or equal to the preset transfer time corresponding to the route segment from location i to location j.

[0057] Σ ij B ij，t =1 (5)

[0058] Σ j B ij，t+1 ≥B ij，t (6)

[0059]

[0060]

[0061] Where j is an integer greater than or equal to 1; Boolean B ij,t Refers to the spatial location of the mobile energy storage system. When its value is 1, it means that the vehicle is on the road from location i to location j, and when its value is 0, it means that the vehicle is not on the road. ij It represents the time it takes for a vehicle to travel from location i to location j. It is an integer greater than or equal to 1 and less than or equal to 24. When i≠j, T ij =1; the constrained transfer time is the average time it takes for a vehicle to travel from location i to location j, which can be obtained through surveys and other means.

[0062] In this embodiment, the spatial constraint conditions of the mobile energy storage system are established to determine the scheduling decision of the mobile energy storage system, thereby improving resource utilization.

[0063] Optionally, the above-mentioned absorption constraints can be implemented as follows:

[0064] The operating power of the mobile energy storage system in any time period is greater than or equal to zero and less than or equal to the sum of the first predicted value and the second predicted value in the corresponding time period; the operating power of the mobile energy storage system in any time period is greater than or equal to zero and less than or equal to the rated operating power of the mobile energy storage system; the cooling power of the mobile energy storage system in any time period is equal to the operating power of the mobile energy storage system in the corresponding time period multiplied by the cooling efficiency of the mobile energy storage system;

[0065] Among them, the first predicted value is the predicted value of the wind power abandoned at the wind abandonment location, and the second predicted value is the predicted value of the solar power abandoned at the solar power abandonment location. In this embodiment, the vehicle of the mobile energy storage system goes to the wind abandonment location and the solar power abandonment location to consume the electric energy to be discarded. By absorbing this part of the electric energy, the heat pump of the mobile energy storage system is controlled to convert the electric energy into cold energy for refrigeration. Therefore, the absorption constraint conditions of the mobile energy storage system are shown in formulas (9) to (11). Among them, formula (9) indicates that the working power of the heat pump of the mobile energy storage system cannot be greater than the sum of the wind power abandoned and the abandonment rate, formula (10) indicates that the working power of the heat pump of the mobile energy storage system cannot be greater than the rated working power of the mobile energy storage system, and formula (11) represents the cooling power of the heat pump.

[0066]

[0067]

[0068]

[0069] Where, Indicates the rated operating power of the heat pump in the mobile energy storage system. It is set according to the actual situation, for example, it is set to 900kW; represents the cooling power of the mobile energy storage system in time period t; η is the cooling efficiency of the mobile energy storage system, which represents the conversion rate of the heat pump in the mobile energy storage system from the absorbed electrical energy to cooling energy. It is set according to the actual working conditions of the heat pump, for example, to 2.6.

[0070] In this embodiment, by establishing absorption constraints for the mobile energy storage system and then determining the dispatching decision for the mobile energy storage system based on the absorption constraints, the mobile energy storage system of this embodiment can absorb the abandoned wind power at the abandoned wind power location and the abandoned solar power at the abandoned solar power location. This makes use of the previously wasted electric energy resources, thereby improving the utilization rate of the abandoned wind power and abandoned solar power and other electric energy resources. It should be noted that while this embodiment absorbs the wasted electric energy from abandoned wind power and abandoned solar power, it can also absorb other forms of electric energy, such as the wasted electric energy resources from hydropower generation. This embodiment does not limit the specific electric energy resources absorbed.

[0071] Optionally, the above cold energy constraint condition can be achieved by:

[0072] The cooling power of the mobile energy storage system in any time period is greater than or equal to zero and less than or equal to the rated working power of the mobile energy storage system, and the cooling power of the mobile energy storage system in any time period is equal to the cooling load power of the corresponding time period.

[0073] In this embodiment, the mobile energy storage system can release stored energy to meet the cooling load energy demand. The corresponding cooling energy constraints are shown in formulas (12) and (13). Formula (12) indicates that the cooling power of the mobile energy storage system must be less than the rated power, and formula (13) indicates that the cooling capacity of the mobile energy storage system must meet the cooling load demand. The cooling power of the mobile energy storage system in any time period is equal to the cooling load power in the corresponding time period.

[0074]

[0075]

[0076] Where, Indicates the rated cooling power of the mobile energy storage system. It is set according to the actual situation, for example, it is set to 900kW.

[0077] In this embodiment, the cold energy constraint condition of the mobile energy storage system is established to determine the scheduling decision of the mobile energy storage system, thereby improving resource utilization.

[0078] Optionally, the above energy storage constraints can be implemented in the following ways:

[0079] The energy storage capacity of the mobile energy storage system in the first time period is determined based on the energy storage capacity of the third time period, the energy storage capacity of the first time period, and the release capacity. The energy storage capacity of the mobile energy storage system in the first time period is greater than or equal to zero and less than or equal to the maximum energy storage capacity of the mobile energy storage system. The third time period is a time period before the first time period.

[0080] In this embodiment, the energy storage constraint conditions for constructing the mobile energy storage system are shown in formulas (14) and (15). Wherein, the third time period is time period t-1. Formula (14) indicates that the energy storage capacity of the mobile energy storage system in time period t is determined by the energy storage capacity in time period t-1 and the storage capacity and release capacity in time period t. Formula (15) indicates the energy storage capacity constraint of the mobile energy storage system. The energy storage capacity of the mobile energy storage system in time period t is greater than or equal to zero and less than or equal to the maximum energy storage capacity of the mobile energy storage system.

[0081]

[0082]

[0083] Where, represents the energy storage of the mobile energy storage system in time period t, Indicates the maximum energy storage capacity of the mobile energy storage system.

[0084] In this embodiment, energy storage constraints of the mobile energy storage system are established to determine the scheduling decision of the mobile energy storage system, thereby improving resource utilization.

[0085] Figure 2 A flow chart of a method for determining a scheduling decision for a mobile energy storage system provided in an embodiment of the present application is provided. Figure 2 This embodiment relates to an optional implementation method for determining the scheduling decision of a mobile energy storage system. Based on the above embodiment, the above S104, based on the mobile energy storage scheduling model and the constraints, determines the scheduling decision of the mobile energy storage system, including the following steps:

[0086] S201. Determine the energy change and spatial position change corresponding to the mobile energy storage system based on the mobile energy storage scheduling model and constraints. The energy change includes the cold energy demand and energy release at different locations during spatial transfer within a preset scheduling period, and the changes in the storage power and release power of the mobile energy storage system during the preset scheduling period. The spatial position change refers to the change in the spatial position of the mobile energy storage system during spatial transfer within the preset scheduling period.

[0087] In this embodiment, formula (8) is linearized into formula (16), and combined with the parameters such as the electricity price, cooling price, and hourly space transfer cost of the mobile energy storage system introduced in the above example, and the commercial solver Gurobi is called to substitute all formulas (1) to (16) except formula (8) for solution.

[0088]

[0089] The solution result is output. For example, the solution result is that the daily operating cost of the mobile energy storage system is -2112 yuan, of which the electricity purchase cost is 1205 yuan, the space transfer cost is 600 yuan, and the cooling income is 3917 yuan. Therefore, the mobile energy storage system of this embodiment can operate well.

[0090] Figure 3 The changes of cooling load power, wind power abandonment and solar power abandonment at different locations over time in the embodiment of this application are as follows: Figure 4 The changes in the spatial position of the mobile energy storage system and the changes in the energy storage power over time in the embodiment of the present application are as follows: Figure 5 The energy storage power and energy release power of the mobile energy storage system in the embodiment of the present application change over time, such as Figures 3 to 5As shown, the energy storage power is, for example, the cooling power, and the energy release power is, for example, the cooling power. Figure 3 The solid line in the figure represents the cooling load demand at location 1 during the time period t = 3 to 10. Figure 3 The dotted line in the figure represents the cooling load data demand at location 2 during the time period from t 15 to 22. The cooling load data is the cooling load power. Figure 3 The solid line 301 with dots in the graph represents the wind power or solar power curtailment at location 3 during the time period t = 1 to 5. Figure 3 The solid line 302 with dots in the graph represents the wind power or solar power curtailment during the time period t=10-17. Figure 4 The solid line with dots in the figure represents the spatial position of the vehicle of the mobile energy storage system. Figure 3 and Figure 4 It can be seen that the vehicle of the mobile energy storage system is at location 3 during the time period when t is equal to 2 and the time period when t is 11-14. The mobile energy storage system absorbs the abandoned wind power or abandoned solar power at location 3 and controls the heat pump cooling on the power side of the mobile energy storage system so that the phase change material stores energy. When the spatial position of the vehicle of the mobile energy storage system is location 1 and during the time period when t is 4-9, the thermal side of the mobile energy storage system flexibly adjusts the fan speed to accelerate the release of cold from the phase change material and releases cold energy to location 1. When the spatial position of the vehicle of the mobile energy storage system is location 2 and during the time period when t is 16-22, the thermal side of the mobile energy storage system flexibly adjusts the fan speed to accelerate the release of cold from the phase change material and releases cold energy to location 2. Figure 4 The dotted line in the figure shows how the energy storage situation of the mobile energy storage system changes at different times and locations. Figure 5 The dotted line in the figure represents the cold storage power of the mobile energy storage system. The spatial position of the mobile energy storage system vehicle is at location 3 during the time period t = 2 and the time period t = 11-14. Therefore, the mobile energy storage system has cold storage power during the time period t = 2 and the time period t = 11-14, and the cold storage power is in the growth stage. Figure 5 The solid line in the figure represents the cooling power of the mobile energy storage system. The vehicle of the mobile energy storage system is located at location 1 during the time period t 4 to 9 and at location 2 during the time period t 16 to 22. Therefore, the mobile energy storage system performs cooling based on the cooling power of the corresponding time period during the time period t 4 to 9 and the time period t 16 to 22. Figures 3 to 5It can be seen that the mobile energy storage system consumes electricity at location 3 where wind power or solar power is curtailed. The heat pump on the power side uses cooling to store cold in the phase change material. The thermal side of the mobile energy storage system flexibly adjusts the fan speed to accelerate the release of cold from the phase change material, thereby meeting the cooling needs of locations 1 and 2. Only one device can meet the intermittent cooling needs of different locations on a time-sharing basis. The energy storage power, cold storage power, and cold release power of the mobile energy storage system also meet the operating requirements, achieving full utilization of the mobile energy storage system and resources such as curtailed wind power and curtailed solar power, avoiding waste of resources such as curtailed wind power and curtailed solar power.

[0091] S202: Determine a scheduling decision for the mobile energy storage system based on energy changes and spatial position changes corresponding to the mobile energy storage system.

[0092] In this embodiment, based on the above-mentioned solution results, the scheduling decision of the mobile energy storage system can be determined, so as to formulate a scheduling plan for the mobile energy storage system to meet the intermittent cooling demand of different locations and absorb the abandoned wind and solar power. This embodiment determines the energy change and spatial position change corresponding to the mobile energy storage system according to the mobile energy storage scheduling model and constraints, and determines the scheduling decision of the mobile energy storage system according to the energy change and spatial position change corresponding to the mobile energy storage system. Since the mobile energy storage system of this embodiment controls the heat pump cooling on the power side to store energy in the phase change material, and flexibly adjusts the fan speed on the thermal side to accelerate the release of cold from the phase change material to meet the intermittent cooling demand of different locations, only one device can meet the intermittent cooling demand of different locations on a time-sharing basis, and can absorb the abandoned solar and wind power, thereby achieving efficient resource utilization and improving resource utilization.

[0093] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0094] Based on the same inventive concept, the present application also provides a mobile energy storage system scheduling device for implementing the mobile energy storage system scheduling method described above. The solution provided by this device is similar to the solution described in the method described above. Therefore, the specific limitations of one or more mobile energy storage system scheduling device embodiments provided below can be found in the limitations of the mobile energy storage system scheduling method described above and will not be repeated here.

[0095] Reference Figure 6 , Figure 6 This is a structural diagram of a mobile energy storage system scheduling device provided in an embodiment of the present application. The device 600 includes: a data acquisition module 601, a constraint construction module 602, a model construction module 603 and a strategy determination module 604, wherein:

[0096] The data acquisition module 601 is used to acquire cooling and electricity data corresponding to different locations.

[0097] The constraint construction module 602 is used to construct the constraint conditions of the mobile energy storage system according to the cold power data corresponding to the above different locations.

[0098] The model building module 603 is used to build a mobile energy storage scheduling model according to the constraint conditions.

[0099] The strategy determination module 604 is configured to determine a scheduling decision for the mobile energy storage system according to the mobile energy storage scheduling model and the constraint condition, so as to schedule the mobile energy storage system based on the scheduling decision.

[0100] The mobile energy storage system scheduling device provided in this embodiment obtains cooling power data corresponding to different locations, constructs constraints for the mobile energy storage system based on the cooling power data corresponding to the different locations, constructs a mobile energy storage scheduling model based on the constraints, and determines a scheduling decision for the mobile energy storage system based on the mobile energy storage scheduling model and the constraints, so as to schedule the mobile energy storage system based on the scheduling decision. Because this embodiment takes into account wind and solar power curtailment, and establishes constraints and a scheduling model solution based on the intermittent cooling needs of buildings and equipment, it ultimately determines an economic scheduling decision for energy storage, thereby solving the problem of resource waste in traditional technologies and improving resource utilization.

[0101] Optionally, the data acquisition module 601 is specifically used to construct spatial transfer constraints, absorption constraints, cold energy constraints and energy storage constraints of the mobile energy storage system based on the cold electricity data corresponding to different locations; wherein the constraints include spatial transfer constraints, absorption constraints, cold energy constraints and energy storage constraints.

[0102] Optionally, the spatial transfer constraint condition includes a correspondence between different spatial positions of the mobile energy storage system and different time periods, a first spatial transfer constraint condition, a second spatial transfer constraint condition, and a driving time of a vehicle of the mobile energy storage system on a route segment being greater than or equal to a preset transfer time corresponding to the route segment;

[0103] The first spatial transfer constraint condition includes that when the vehicle is at the first location in the first time period, it is at the first location or heading to the second location in the second time period. The second spatial transfer constraint condition includes that when the vehicle is at the route segment from the first location to the second location in the first time period, the vehicle is on the route segment or arrives at the second location in the second time period. The second time period is the next time period of the first time period.

[0104] Optionally, the absorption constraints include: the operating power of the mobile energy storage system in any time period is greater than or equal to zero and less than or equal to the sum of the first predicted value and the second predicted value in the corresponding time period; the operating power of the mobile energy storage system in any time period is greater than or equal to zero and less than or equal to the rated operating power of the mobile energy storage system; and the cooling power of the mobile energy storage system in any time period is equal to the operating power of the mobile energy storage system in the corresponding time period multiplied by the cooling efficiency of the mobile energy storage system;

[0105] The first prediction value is a prediction value of the abandoned wind power at the abandoned wind location, and the second prediction value is a prediction value of the abandoned light power at the abandoned light location.

[0106] Optionally, the cooling energy constraint conditions include that the cooling power of the mobile energy storage system in any time period is greater than or equal to zero and less than or equal to the rated operating power of the mobile energy storage system, and the cooling power of the mobile energy storage system in any time period is equal to the cooling load power of the corresponding time period.

[0107] Optionally, the energy storage constraint condition includes that the energy storage capacity of the mobile energy storage system in the first time period is determined based on the energy storage capacity of the third time period, the energy storage capacity of the first time period, and the release capacity; the energy storage capacity of the mobile energy storage system in the first time period is greater than or equal to zero and less than or equal to the maximum energy storage capacity of the mobile energy storage system; and the third time period is the time period before the first time period.

[0108] Optionally, the strategy determination module 604 is specifically used to determine the energy changes and spatial position changes corresponding to the mobile energy storage system based on the mobile energy storage scheduling model and constraints, wherein the energy changes include the cold energy demand and energy release conditions at different locations during spatial transfer within a preset scheduling period, the changes in the energy storage power and energy release power of the mobile energy storage system during the preset scheduling period, and the spatial position changes are the changes in the spatial position of the mobile energy storage system during spatial transfer within the preset scheduling period; based on the energy changes and spatial position changes corresponding to the mobile energy storage system, the scheduling decision of the mobile energy storage system is determined.

[0109] Each module in the mobile energy storage system dispatching device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0110] Figure 7 The internal structure diagram of the computer device in the embodiment of the present application is shown in FIG. 1 . In the embodiment of the present application, a computer device is provided. The computer device may be a terminal. The internal structure diagram thereof may be as shown in FIG. Figure 7 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for scheduling a mobile energy storage system is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0111] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0112] In one embodiment, a computer device is provided, comprising a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the steps of the mobile energy storage system scheduling method provided in the above embodiment. The implementation principles and technical effects are similar to those of the above method embodiment and will not be further described here.

[0113] In one embodiment, a computer-readable storage medium is provided, storing a computer program. When executed by a processor, the computer program implements the steps of the mobile energy storage system scheduling method provided in the above embodiment. The implementation principles and technical effects are similar to those of the above method embodiment and will not be further described here.

[0114] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the mobile energy storage system scheduling method provided in the above embodiment. The implementation principles and technical effects are similar to those of the above method embodiment and are not further described here.

[0115] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0116] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0117] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0118] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A mobile energy storage system scheduling method, characterized in that: The method comprises: Acquiring cooling power data corresponding to different locations; the cooling power data includes at least one of cooling load power, wind power abandonment, and solar power abandonment; Constructing constraints for the mobile energy storage system based on the cold power data corresponding to the different locations; According to the constraints, a mobile energy storage scheduling model is constructed; Determining a scheduling decision for the mobile energy storage system according to the mobile energy storage scheduling model and the constraint conditions, so as to schedule the mobile energy storage system based on the scheduling decision; Determining a scheduling decision for the mobile energy storage system based on the mobile energy storage scheduling model and the constraint conditions includes: According to the mobile energy storage scheduling model and the constraints, determine the energy change and spatial position change corresponding to the mobile energy storage system, wherein the energy change includes the cold energy demand and released energy at different locations when performing spatial transfer within a preset scheduling period, and the changes in the stored energy power and released energy power of the mobile energy storage system within the preset scheduling period. The spatial position change refers to the change in the spatial position of the mobile energy storage system when performing spatial transfer within the preset scheduling period; Determine the scheduling decision of the mobile energy storage system according to the energy change and spatial position change corresponding to the mobile energy storage system; wherein the mobile energy storage scheduling model includes: B ii,T =B ii,0 in, represents the dispatching target of the mobile energy storage system, B ii,T =B ii,0 Indicates that at the end of the scheduling, the spatial position of the mobile energy storage system will return to the initial location, Indicates that the energy storage of the mobile energy storage system will return to the initial energy storage at the end of the scheduling; p MPM,e represents the electricity price of the mobile energy storage system, p MPM,d represents the cooling price of the mobile energy storage system, p MPM represents the hourly space transfer cost of the mobile energy storage system, represents the working power of the heat pump in the mobile energy storage system during time period t, represents the cooling power of the mobile energy storage system at location i and in time period t, Boolean type B ii,t Refers to the spatial position of the mobile energy storage system in time period t, B ii,0 Refers to the spatial position of the mobile energy storage system at the beginning of scheduling, B ii,T Refers to the spatial position of the mobile energy storage system at the end of scheduling, represents the initial energy storage of the mobile energy storage system at the beginning of scheduling, Indicates the energy storage of the mobile energy storage system at the end of scheduling.

2. The method according to claim 1, characterized in that The step of constructing the constraint conditions of the mobile energy storage system according to the cold power data corresponding to the different locations includes: According to the cold power data corresponding to the different locations, constructing the spatial transfer constraints, consumption constraints, cold energy constraints and energy storage constraints of the mobile energy storage system; Among them, the constraints include the spatial transfer constraints, the absorption constraints, the cold energy constraints and the energy storage constraints.

3. The method according to claim 2, characterized in that The spatial transfer constraint conditions include the correspondence between different spatial positions of the mobile energy storage system and different time periods, the first spatial transfer constraint condition, the second spatial transfer constraint condition, and the travel time of the vehicle of the mobile energy storage system on the route segment being greater than or equal to the preset transfer time corresponding to the route segment; The first spatial transfer constraint condition includes that when the vehicle is at the first location in the first time period, it is at the first location or heading to the second location in the second time period; the second spatial transfer constraint condition includes that when the vehicle is at the route segment from the first location to the second location in the first time period, the vehicle is on the route segment or arrives at the second location in the second time period; the second time period is the next time period of the first time period.

4. The method according to claim 2, characterized in that The absorption constraints include that the operating power of the mobile energy storage system in any time period is greater than or equal to zero and less than or equal to the sum of the first predicted value and the second predicted value in the corresponding time period, the operating power of the mobile energy storage system in any time period is greater than or equal to zero and less than or equal to the rated operating power of the mobile energy storage system, and the cooling power of the mobile energy storage system in any time period is equal to the operating power of the mobile energy storage system in the corresponding time period multiplied by the cooling efficiency of the mobile energy storage system; The first prediction value is a prediction value of the abandoned wind power at the abandoned wind location, and the second prediction value is a prediction value of the abandoned solar power at the abandoned solar location.

5. The method according to claim 2, characterized in that The cooling energy constraint conditions include that the cooling power of the mobile energy storage system in any time period is greater than or equal to zero and less than or equal to the rated operating power of the mobile energy storage system, and the cooling power of the mobile energy storage system in any time period is equal to the cooling load power of the corresponding time period.

6. The method according to claim 3, characterized in that The energy storage constraint conditions include: the energy storage capacity of the mobile energy storage system in the first time period is determined based on the energy storage capacity of the third time period, the energy storage capacity of the first time period, and the release capacity; the energy storage capacity of the mobile energy storage system in the first time period is greater than or equal to zero and less than or equal to the maximum energy storage capacity of the mobile energy storage system; and the third time period is the time period before the first time period.

7. A mobile energy storage system scheduling device, characterized in that: The device comprises: Data acquisition module, used to obtain cooling and electricity data corresponding to different locations; A constraint construction module, configured to construct constraint conditions for the mobile energy storage system based on the cold power data corresponding to the different locations; A model building module, used to build a mobile energy storage scheduling model based on the constraints; a strategy determination module, configured to determine a scheduling decision for the mobile energy storage system according to the mobile energy storage scheduling model and the constraint conditions, so as to schedule the mobile energy storage system based on the scheduling decision; The strategy determination module is used to: According to the mobile energy storage scheduling model and the constraints, the energy change and spatial position change corresponding to the mobile energy storage system are determined, wherein the energy change includes the cold energy demand and released energy at different locations during spatial transfer within the preset scheduling period, the changes in the stored energy power and released energy power of the mobile energy storage system within the preset scheduling period, and the spatial position change refers to the spatial transfer of the mobile energy storage system within the preset scheduling period. Changes in spatial position during transfer; Determine the scheduling decision of the mobile energy storage system according to the energy change and spatial position change corresponding to the mobile energy storage system; wherein the mobile energy storage scheduling model includes: B ii,T =B ii,0 in, represents the dispatching target of the mobile energy storage system, B ii,T =B ii,0 Indicates that at the end of the scheduling, the spatial position of the mobile energy storage system will return to the initial location, Indicates that the energy storage of the mobile energy storage system will return to the initial energy storage at the end of the scheduling; p MPM,e represents the electricity price of the mobile energy storage system, p MPM,d represents the cooling price of the mobile energy storage system, p MPM represents the hourly space transfer cost of the mobile energy storage system, represents the working power of the heat pump in the mobile energy storage system during time period t, represents the cooling power of the mobile energy storage system at location i and in time period t, Boolean type B ii,t Refers to the spatial position of the mobile energy storage system in time period t, B ii,0 Refers to the spatial position of the mobile energy storage system at the beginning of scheduling, B ii,T Refers to the spatial position of the mobile energy storage system at the end of scheduling, represents the initial energy storage of the mobile energy storage system at the beginning of scheduling, Indicates the energy storage of the mobile energy storage system at the end of scheduling.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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