Multi-region power supply demand-oriented mobile energy storage vehicle scheduling planning method and system

Abstract

A mobile energy storage vehicle scheduling planning method and system for multi-area power supply demand are provided, which determines the number of mobile energy storage vehicles and the time interval of power supply service, obtains the number of areas in the serviced block that need to be powered by the mobile energy storage vehicle and the specific power demand, formulates the power supply demand table, constructs a mobile energy storage vehicle scheduling planning model with the maximum total power supply income of all mobile energy storage vehicles as the objective function, and obtains the mobile energy storage vehicle scheduling table that maximizes the total income under the constraints of mobile energy storage vehicle deployment area, upper limit of area deployment, demand power supply area access and upper limit of electric energy by solving the model. The mobile energy storage vehicle scheduling planning method and system can not only obtain the mobile energy storage vehicle scheduling table that maximizes the total income, but also can select a suitable objective function according to different situations, effectively expanding the application range of the planning method.

Description

TECHNICAL FIELD

[0001] The present application relates to a mobile energy storage vehicle scheduling planning method, in particular to a mobile energy storage vehicle scheduling planning method and system for multi-region power supply demand. BACKGROUND

[0002] In recent years, the State Energy Administration has continuously optimized the power generation structure and continuously promoted the green transformation of generating units. The proportion of non-fossil energy in total installed capacity continues to rise. However, new energy power generation is easily disturbed by natural conditions during the power generation process, and thus power outages or fluctuations may occur.

[0003] In order to ensure the stable operation of the system, the existing technology often uses an energy storage system to control the system and solve technical defects. Energy storage devices have been widely used in power systems. The mobile energy storage vehicle, as a kind of short-term energy storage device, can relieve line transmission congestion by transmitting power across nodes, and the mobile energy storage vehicle can move across different systems within the power system to adapt to the seasonality or long-term changes of renewable resources.

[0004] Although such mobile energy storage vehicles can increase the peak load shifting capacity of the power grid and bring flexibility to the service of the power system, they still have the following defects:

[0005] In actual application, the power provided by the mobile energy storage vehicle may not match the actual regional power demand. If the energy storage vehicle is selected to correspond to the power consumption area one by one for power supply, not only a sufficient number of energy storage vehicles are needed to provide services, but also the situation that the demand cannot be met or the power resource is wasted may occur due to different regional power demand.

[0006] The information disclosed in this background section is intended only to increase an understanding of the general context of the present application, and it should not be taken as an acknowledgement or any form of suggestion that this information forms prior art that is already widely known in the art. SUMMARY

[0007] The purpose of the present application is to overcome the lack of reasonable planning of the scheduling of mobile energy storage vehicles in the prior art, and to provide a mobile energy storage vehicle scheduling planning method and system for multi-region power supply demand, which can reasonably plan the scheduling of mobile energy storage vehicles.

[0008] To achieve the above purpose, the technical solution of the present application is:

[0009] A mobile energy storage vehicle scheduling planning method for multi-region power supply demand, the planning method comprising:

[0010] S1, data processing, determining the duration of power supply service that the mobile energy storage vehicle can provide , and the duration The system is divided into multiple time periods. The area within the service block that needs to be powered by the mobile energy storage vehicle is divided into multiple power demand areas according to the specific electricity demand. The specific electricity demand of the power demand area in each time period is obtained through user applications and historical electricity demand records of each power demand area, and a power demand table is made based on the specific electricity demand.

[0011] S2. Model Construction: Construct a mobile energy storage vehicle scheduling and planning model. The objective function of this model is to maximize the total power supply revenue of all mobile energy storage vehicles. It also considers constraints such as the deployment area of ​​mobile energy storage vehicles, the upper limit of the deployment area, the access constraint of the demand power supply area, and the upper limit of the power supply. The objective function includes:

[0012] ;

[0013] In the above formula, For the first Mobile energy storage vehicles in Time-of-use power supply area Deployment status, This represents the total electricity revenue generated by all mobile energy storage vehicles.

[0014] S3. Model optimization: Determine whether the total power of all mobile energy storage vehicles can meet the total electricity demand of the served street. If the total power of all mobile energy storage vehicles cannot meet the total electricity demand, and there are time periods or areas that require priority power supply, the total power supply revenue of all mobile energy storage vehicles is the first total power supply revenue.

[0015] ;

[0016] In the above formula, M represents the total number of areas requiring power supply. This is the weight matrix. for Time-of-use power supply area Power demand table;

[0017] When the total power capacity of all mobile energy storage vehicles can meet the total power demand; or when the total power capacity of all mobile energy storage vehicles cannot meet the demand, and there are no time periods or areas requiring priority power supply; the total power supply revenue of all mobile energy storage vehicles is the second total power supply revenue:

[0018] ;

[0019] in, N represents the remaining power, N represents the total number of mobile energy storage vehicles, and T represents the total number of power demand periods.

[0020] S4, model solving, solving the mobile energy storage vehicle scheduling planning model through the optimization function of MATLAB to obtain the optimized scheduling table of all mobile energy storage vehicles.

[0021] The duration of providing power supply service in S1 According to the same time interval The service block is divided into periods, each period is represented by ;

[0022] The area in the serviced block that needs to be powered by the mobile energy storage vehicle is divided into multiple demand power supply areas according to the specific power demand, the number of demand power supply areas is , and each demand power supply area is represented by .

[0023] In S2, the mobile energy storage vehicle deployment area constraint includes:

[0024] ;

[0025] In the above formula, is the deployment of the mth mobile energy storage vehicle in the nth period in the mth demand power supply area, and the represents that the mth mobile energy storage vehicle is not deployed in the nth demand power supply area in the nth period ; represents that the mth mobile energy storage vehicle is deployed in the nth demand power supply area in the nth period ; represents that the mth mobile energy storage vehicle is deployed in the nth demand power supply area in the nth period ;

[0026] The mobile energy storage vehicle deployment area constraint is relaxed to a convex constraint, and the relaxed mobile energy storage vehicle deployment area constraint includes:

[0027] ;

[0028] The area deployment upper limit constraint includes:

[0029] ;

[0030] The above formula represents that a mobile energy storage vehicle can be deployed in at most one demand power supply area in the same period

[0031] The demand power supply area access constraint includes:

[0032] ;

[0033] ​​​​The above formula represents that in the same period, the same demand power supply area can only access one mobile energy storage vehicle at most;

[0034] The upper limit of the electric energy constraint includes:

[0035] ;

[0036] In the above formula, represents the multiplication operation of the corresponding position elements of two conformal matrices, is the energy storage of the th mobile energy storage vehicle.

[0037] In the S3, when the number of mobile energy storage vehicles is not less than the number of demand power supply areas, each demand power supply area has the opportunity to be allocated to a mobile energy storage vehicle in the same period, at this time, the total power demand of the serviced blocks can be obtained by summing the power supply demand table:

[0038] ;

[0039] When the number of mobile energy storage vehicles is less than the number of demand power supply areas, at most regions can obtain the power supply service of the mobile energy storage vehicle in the same period, at this time, the total power demand of the serviced blocks is the total service time The maximum power demand that the th mobile energy storage vehicle can meet:

[0040] ;

[0041] In the above formula, represents finding the demand power supply areas with the highest power demand in the power supply demand table within the period and summing the power demand of the demand power supply areas;

[0042] The total electric energy of all mobile energy storage vehicles includes:

[0043] ;

[0044] In the above formula, is the total electric energy of all mobile energy storage vehicles.

[0045] In the S3, when the total electric energy of all mobile energy storage vehicles cannot meet the total power demand, and there are time periods or regions that need to be prioritized for power supply, the limited power is allocated to the demand power supply area with higher value, at this time, the first total power supply benefit includes:

[0046] ;

[0047] In the above formula, The weight matrix represents additional processing of the power demand in the power demand table, and is used to increase the weight of the power demand area or time period of interest.

[0048] Combining the relaxed deployment area constraints of mobile energy storage vehicles and the first total power supply revenue, the first objective function is obtained, including:

[0049] ;

[0050] In the above formula, N is the total number of mobile energy storage vehicles, T is the total number of time periods requiring power supply, and M is the total number of areas requiring power supply.

[0051] In step S3, the second total power supply revenue is obtained by minimizing the total remaining power of each mobile energy storage vehicle per time period, including:

[0052] ;

[0053] In the above formula, Representing the Mobile energy storage vehicles in the first The remaining power in each time period, the When the total power capacity of all mobile energy storage vehicles can meet the total power demand, or even if it cannot meet the demand but there are no time periods or areas requiring priority power supply, the total power supply revenue of all mobile energy storage vehicles is [amount missing]. This is used to enable the optimizer to allocate the power of all mobile energy storage vehicles to earlier time periods, while within each time period, prioritizing those with higher power demand. Provide power supply services to areas with specific power demand;

[0054] Combining the relaxed deployment area constraints of mobile energy storage vehicles and the second total power supply revenue, the second objective function is obtained, including:

[0055] ;

[0056] In the above formula, N represents the total number of mobile energy storage vehicles, and T represents the total number of periods requiring power supply.

[0057] In S4, when the high-value demand power supply period or area is a high power demand period or area... ;

[0058] When the period or area with high-value demand for electricity coincides with the period or area with high electricity prices, the Weighting matrix for high electricity prices .

[0059] A mobile energy storage vehicle scheduling and planning system for multi-regional power supply needs, the system being used to execute the aforementioned mobile energy storage vehicle scheduling and planning method, specifically including: a data processing module, a model building module, a model optimization module, and a model solving module;

[0060] The data processing module is used to determine the duration for which the mobile energy storage vehicle can provide power supply services. and duration The system is divided into multiple time periods. The area within the service block that needs to be powered by the mobile energy storage vehicle is divided into multiple demand power supply areas according to the specific electricity demand. The specific electricity demand of the demand power supply area in each time period is obtained through user applications and historical electricity demand records of each demand power supply area.

[0061] The model building module is used to construct a mobile energy storage vehicle scheduling and planning model. The objective function of this model is to maximize the total power supply revenue of all mobile energy storage vehicles, and it considers constraints such as the deployment area of ​​mobile energy storage vehicles, the upper limit of the deployment area, the access constraint of the demand power supply area, and the upper limit of the power supply. The objective function includes:

[0062] ;

[0063] In the above formula, For the first Mobile energy storage vehicles in Time-of-use power supply area Deployment status, This represents the total electricity revenue generated by all mobile energy storage vehicles.

[0064] The model optimization module is used to determine whether the total power of all mobile energy storage vehicles can meet the total electricity demand of the served street. If the total power of all mobile energy storage vehicles cannot meet the total electricity demand, and there are time periods or areas that require priority power supply, the total power supply revenue of all mobile energy storage vehicles is the first total power supply revenue.

[0065] ;

[0066] In the above formula, M represents the total number of areas requiring power supply. This is the weight matrix. for Time-of-use power supply area Power demand table;

[0067] When the total power capacity of all mobile energy storage vehicles can meet the total power demand; or when the total power capacity of all mobile energy storage vehicles cannot meet the demand, and there are no time periods or areas requiring priority power supply; the total power supply revenue of all mobile energy storage vehicles is the second total power supply revenue:

[0068] ;

[0069] wherein, is the remaining power, N is the total number of mobile energy storage vehicles, and T is the total number of demand power supply periods;

[0070] The model solving module is configured to solve the mobile energy storage vehicle scheduling planning model by using an optimization function of MATLAB to obtain an optimized scheduling table of all mobile energy storage vehicles.

[0071] A mobile energy storage vehicle scheduling planning device for multi-region power supply demand comprises a memory and a processor, the memory is configured to store computer program codes and transmit the computer program codes to the processor;

[0072] The processor is configured to execute the aforementioned mobile energy storage vehicle scheduling planning method for multi-region power supply demand according to instructions in the computer program codes.

[0073] A computer storage medium stores computer programs, and the computer programs are executed by the processor to execute the aforementioned mobile energy storage vehicle scheduling planning method for multi-region power supply demand.

[0074] Compared with the prior art, the mobile energy storage vehicle scheduling planning method for multi-region power supply demand has the following beneficial effects:

[0075] 1、In the mobile energy storage vehicle scheduling planning method for multi-region power supply demand, the number of mobile energy storage vehicles and the time interval of power supply services are determined, the number of regions in the serviced block that need power supply of the mobile energy storage vehicles and the specific power demand are obtained, and the regions are formulated as a power supply demand table. The total power supply revenue of all mobile energy storage vehicles is taken as an objective function to construct a mobile energy storage vehicle scheduling planning model. By solving the model, a mobile energy storage vehicle scheduling table that maximizes the total revenue under the constraints of mobile energy storage vehicle deployment regions, upper limit constraints of region deployment, demand power supply region access, and power upper limit constraints can be obtained. Therefore, the mobile energy storage vehicle scheduling table that maximizes the total revenue can be obtained through the mobile energy storage vehicle scheduling planning model.

[0076] 2、In the mobile energy storage vehicle scheduling planning method for multi-region power supply demand, it is judged whether the total power of all mobile energy storage vehicles can meet the total power demand of the serviced block. According to the judgment result, the mobile energy storage vehicle scheduling planning model is optimized, so that the model can select a suitable objective function according to different situations. Therefore, the suitable objective function can be selected according to different situations, and the application range of the planning method is effectively expanded.

[0077] 3. In the mobile energy storage vehicle scheduling and planning method for multi-regional power supply demand of this invention, different weight matrices are used to increase the weight of electricity demand in a corresponding time period or region in the calculation of the total power supply revenue of all mobile energy storage vehicles. This allows limited electricity to be allocated to more important time periods or regions when the total power supply cannot meet the total demand, thereby resulting in higher revenue. Therefore, this design can effectively increase the revenue when the total power supply cannot meet the total demand by increasing the weight of electricity demand in a corresponding time period or region through different weight matrices.

[0078] 4. In the mobile energy storage vehicle scheduling and planning method for multi-regional power supply needs of this invention, when the total power supply can meet the total demand or there are no areas in the service area that require priority power supply, an objective function for minimizing the remaining power supply is designed. This objective function calculates the sum of the remaining power supply for each time period and the remaining power supply for each mobile energy storage vehicle in each time period. This ensures that the resulting planning method enables all mobile energy storage vehicles to complete their power supply tasks as quickly as possible, allowing them to enter the next power supply task more quickly. Therefore, this design, through the objective function of minimizing the remaining power supply, enables the resulting planning method to enable all mobile energy storage vehicles to complete their power supply tasks as quickly as possible. Attached Figure Description

[0079] Figure 1 This is a flowchart of the method described in this invention.

[0080] Figure 2 This is the overall flowchart of Example 2.

[0081] Figure 3 This is a structural diagram of the system described in this invention.

[0082] Figure 4 This is a structural diagram of the device described in this invention. Detailed Implementation

[0083] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Example

[0084] See Figure 1 , 2 A mobile energy storage vehicle scheduling and planning method for multi-regional power supply needs, the planning method comprising:

[0085] S1. Data processing to determine the duration for which the mobile energy storage vehicle can provide power supply services. and duration The system is divided into multiple time periods. The area within the service block that needs to be powered by the mobile energy storage vehicle is divided into multiple power demand areas according to the specific electricity demand. The specific electricity demand of the power demand area in each time period is obtained through user applications and historical electricity demand records of each power demand area, and a power demand table is made based on the specific electricity demand.

[0086] S2. Model Construction: Construct a mobile energy storage vehicle scheduling and planning model. The objective function of this model is to maximize the total power supply revenue of all mobile energy storage vehicles. It also considers constraints such as the deployment area of ​​mobile energy storage vehicles, the upper limit of the deployment area, the access constraint of the demand power supply area, and the upper limit of the power supply. The objective function includes:

[0087] ;

[0088] In the above formula, For the first Mobile energy storage vehicles in Time-of-use power supply area Deployment status, This represents the total electricity revenue generated by all mobile energy storage vehicles.

[0089] S3. Model optimization: Determine whether the total power of all mobile energy storage vehicles can meet the total electricity demand of the served street. If the total power of all mobile energy storage vehicles cannot meet the total electricity demand, and there are time periods or areas that require priority power supply, the total power supply revenue of all mobile energy storage vehicles is the first total power supply revenue.

[0090] ;

[0091] In the above formula, M represents the total number of areas requiring power supply. This is the weight matrix. for Time-of-use power supply area Power demand table;

[0092] When the total power capacity of all mobile energy storage vehicles can meet the total power demand; or when the total power capacity of all mobile energy storage vehicles cannot meet the demand, and there are no time periods or areas requiring priority power supply; the total power supply revenue of all mobile energy storage vehicles is the second total power supply revenue:

[0093] ;

[0094] in, N represents the remaining power, N represents the total number of mobile energy storage vehicles, and T represents the total number of power demand periods.

[0095] S4, model solving, solving the mobile energy storage vehicle scheduling planning model through the optimization function of MATLAB to obtain the optimized scheduling table of all mobile energy storage vehicles.

[0096] The duration of providing power supply service in S1 According to the same time interval The service block is divided into periods, each period is represented by ;

[0097] The area in the serviced block that needs to be powered by the mobile energy storage vehicle is divided into multiple demand power supply areas according to the specific power demand, the number of demand power supply areas is , each demand power supply area is represented by .

[0098] In S2, the mobile energy storage vehicle deployment area constraint includes:

[0099] ;

[0100] In the above formula, is the deployment of the mth mobile energy storage vehicle in the nth period in the mth demand power supply area, and the represents that the mth mobile energy storage vehicle is not deployed in the mth demand power supply area in the nth period ; represents that the mth mobile energy storage vehicle is deployed in the mth demand power supply area in the nth period ; represents that the mth mobile energy storage vehicle is deployed in the mth demand power supply area in the nth period ;

[0101] The mobile energy storage vehicle deployment area constraint is relaxed to a convex constraint, and the relaxed mobile energy storage vehicle deployment area constraint includes:

[0102] ;

[0103] The area deployment upper limit constraint includes:

[0104] ;

[0105] The above formula represents that a mobile energy storage vehicle can be deployed in at most one demand power supply area in the same period;

[0106] The demand power supply area access constraint includes:

[0107] ;

[0108] ​​​​The above formula represents that in the same period, the same demand power supply area can only access one mobile energy storage vehicle at most;

[0109] The upper limit of the electric energy constraint includes:

[0110] ;

[0111] In the above formula, represents the multiplication operation of the corresponding position elements of two conformal matrices, is the energy storage of the th mobile energy storage vehicle.

[0112] In the S3, when the number of mobile energy storage vehicles is not less than the number of demand power supply areas, each demand power supply area has the opportunity to be allocated to a mobile energy storage vehicle in the same period, at this time, the total power demand of the serviced blocks can be obtained by summing the power supply demand table:

[0113] ;

[0114] When the number of mobile energy storage vehicles is less than the number of demand power supply areas, at most areas can obtain the power supply service of the mobile energy storage vehicle in the same period, at this time, the total power demand of the serviced blocks is the total service time The maximum power demand that the th mobile energy storage vehicle can meet:

[0115] ;

[0116] In the above formula, represents finding the demand power supply areas with the highest power demand in the power supply demand table within the period and summing the power demand of the demand power supply areas;

[0117] The total electric energy of all mobile energy storage vehicles includes:

[0118] ;

[0119] In the above formula, is the total electric energy of all mobile energy storage vehicles.

[0120] In the S3, when the total electric energy of all mobile energy storage vehicles cannot meet the total power demand, and there are time periods or areas that need to be prioritized for power supply, the limited power is allocated to the demand power supply area with higher value, at this time, the first total power supply benefit includes:

[0121] ;

[0122] In the above formula, is a weight matrix representing additional processing of power demand in the demand-supply table, the weight matrix being used to increase the weight of the demand-supply region or time period of interest;

[0123] is a square of the amount of power demand in each time period region, the weight matrix being used to increase the weight of the high power demand region or time period; In combination with the relaxed mobile energy storage vehicle deployment region constraint and the first summation power supply benefit, a first objective function is obtained, including:

[0124]

[0125]

[0126] In the above formula, N is the total number of mobile energy storage vehicles, T is the total number of demand-supply time periods, and M is the total number of demand-supply regions.

[0127] The solution of the above formula is the optimized dispatch table of all mobile energy storage vehicles.

[0128] In the S3, the second summation power supply benefit is obtained by minimizing the total residual amount of power of each mobile energy storage vehicle in each time period, including:

[0129]

[0130] In the above formula, represents the residual amount of power of the i-th mobile energy storage vehicle in the j-th time period, and the When the total amount of power of all mobile energy storage vehicles can meet the total power demand, or although the demand cannot be met, there is no time period or region that needs to be prioritized for power supply, the summation power supply benefit of all mobile energy storage vehicles is used to make the optimizer allocate the power of all mobile energy storage vehicles to the earlier time periods, and in each time period, as much as possible, select the demand-supply region with higher power demand to provide power supply services;

[0131] In combination with the relaxed mobile energy storage vehicle deployment region constraint and the second summation power supply benefit, a second objective function is obtained, including:

[0132]

[0133] In the above formula, N is the total number of mobile energy storage vehicles, and T is the total number of demand-supply time periods.

[0134] The solution of the above formula is the optimized dispatch table of all mobile energy storage vehicles.

[0135] ​​​​​​​When the high-value demand power supply period or area is a high power demand period or area, the high-value demand power supply period or area weight matrix is ;

[0136] When the high-value demand power supply period or area is a high power price period or area, the high-value demand power supply period or area weight matrix is a high power price weight matrix .

[0137] When the high-value demand power supply period or area is a high importance period or area, the high importance weight matrix is The importance of different areas may be different in different perspectives. For example, more attention is paid to people's livelihood, and temporary power supply to a power outage community is more important than providing charging services to a parking lot; attention is paid to power supply guarantee for large-scale events, and the corresponding life area power consumption needs to be ensured. Embodiments

[0138] This embodiment assumes that there are demand power supply areas in the serviced block, and the total service time length of the mobile energy storage vehicle is , which is divided into periods according to the same time interval, and the specific power demand of each period area is shown in Table 1:

[0139] ;

[0140] Assume that the number of mobile energy storage vehicles available for power supply service is , and the energy storage upper limit of each mobile energy storage vehicle is . First, the total power is calculated as , and the total power demand is . Obviously, the total power of all mobile energy storage vehicles cannot meet the total power demand. It is assumed that there is a period or area that needs to be prioritized for power supply in the serviced block, so the objective function in the mobile energy storage vehicle scheduling and planning model is:

[0141] ;

[0142] The results are shown in Table 2:

[0143] ;

[0144] Where "none" indicates that the mobile energy storage vehicle is not deployed in any demand power supply area in the current period, and "area 1" indicates that the mobile energy storage vehicle is deployed in the first demand power supply area in the current period;

[0145] Assume that the energy storage upper limit of each mobile energy storage vehicle is , and the total power is ​At this time, the total power of all mobile energy storage vehicles can meet the total power demand, so the objective function in the mobile energy storage vehicle scheduling planning model at this time is:

[0146] ;

[0147] The optimized mobile energy storage vehicle scheduling table obtained by the objective function is shown in Table 3:

[0148] ;

[0149] It is worth noting that the optimal solution of the optimization problem is not unique, for example, in the 6th period, the power demand of region 2 and region 3 is At this time, deploying mobile energy storage vehicle 1 in region 2 or region 3 is equivalent, which is the optimal solution;

[0150] When the upper limit of the power of the mobile energy storage vehicle is If there is no region that needs to be prioritized for power supply, the objective function in the mobile energy storage vehicle scheduling planning model is:

[0151] ;

[0152] The optimization result is shown in Table 4:

[0153] ;

[0154] It can be seen that compared with the result shown in Table 2, in Table 4, the deployment of all mobile energy storage vehicles is concentrated in the first part of the period, and in each period, the region with higher power demand is preferentially selected, which meets the need of quickly completing the power supply task of all mobile energy storage vehicles. Embodiments

[0155] Referring to Figure 3 , a mobile energy storage vehicle scheduling planning system for multi-region power supply demand, the system is used to perform the mobile energy storage vehicle scheduling planning method as described in Embodiment 1, and specifically includes a data processing module, a model construction module, a model optimization module, and a model solving module.

[0156] The data processing module is used to determine the duration of the power supply service that the mobile energy storage vehicle can provide , and divide the duration into multiple periods, divide the regions in the serviced block that need mobile energy storage vehicle power supply into multiple demand power supply regions according to the specific power demand, and obtain the specific power demand of the demand power supply region in each period through user application and historical power demand records of each demand power supply region.

[0157] The model building module is used to construct a mobile energy storage vehicle scheduling and planning model. The objective function of this model is to maximize the total power supply revenue of all mobile energy storage vehicles, and it considers constraints such as the deployment area of ​​mobile energy storage vehicles, the upper limit of the deployment area, the access constraint of the demand power supply area, and the upper limit of the power supply. The objective function includes:

[0158] ;

[0159] In the above formula, For the first Mobile energy storage vehicles in Time-of-use power supply area Deployment status, This represents the total electricity revenue generated by all mobile energy storage vehicles.

[0160] The model optimization module is used to determine whether the total power of all mobile energy storage vehicles can meet the total electricity demand of the served street. If the total power of all mobile energy storage vehicles cannot meet the total electricity demand, and there are time periods or areas that require priority power supply, the total power supply revenue of all mobile energy storage vehicles is the first total power supply revenue.

[0161] ;

[0162] In the above formula, M represents the total number of areas requiring power supply. for Time-of-use power supply area The weight matrix, for Time-of-use power supply area Power demand table;

[0163] When the total power capacity of all mobile energy storage vehicles can meet the total power demand; or when the total power capacity of all mobile energy storage vehicles cannot meet the demand, and there are no time periods or areas requiring priority power supply; the total power supply revenue of all mobile energy storage vehicles is the second total power supply revenue:

[0164] ;

[0165] in, N represents the remaining power, N represents the total number of mobile energy storage vehicles, and T represents the total number of power demand periods.

[0166] The model solving module is used to solve the mobile energy storage vehicle scheduling planning model using MATLAB's optimization functions to obtain an optimized scheduling table for all mobile energy storage vehicles. Example

[0167] See Figure 4The application discloses a mobile energy storage vehicle scheduling planning device for multi-area power supply demand, comprising a memory and a processor, wherein the memory is used for storing computer program codes and transmitting the computer program codes to the processor.

[0168] The processor is used for executing the mobile energy storage vehicle scheduling planning method for multi-area power supply demand according to the instructions in the computer program codes.

[0169] A computer storage medium, wherein the computer storage medium stores a computer program, and the computer program is executed by a processor to execute the mobile energy storage vehicle scheduling planning method for multi-area power supply demand.

[0170] The above merely describes the preferred embodiments of the application, and the protection scope of the application is not limited to the above-mentioned embodiments, but any equivalent modifications or changes made by those skilled in the art according to the disclosed content of the application should be included in the protection scope recorded in the claims.

Claims

1. A method for scheduling and planning of mobile energy storage vehicles for multi-zone power supply demand, characterized in that, The planning method comprises: S1, data processing, determine the duration that the mobile energy storage vehicle can provide power supply service , and the duration The duration is divided into multiple time periods, and the area in the serviced block that needs the mobile energy storage vehicle to provide power supply is divided into multiple demand power supply areas according to specific power demand, the specific power demand of the demand power supply area in each time period is obtained through user application and historical power demand record of each demand power supply area, and a power supply demand table is made according to the specific power demand. S2, model construction, constructing a mobile energy storage vehicle scheduling planning model, the mobile energy storage vehicle scheduling planning model taking the maximum sum of power supply benefits of all mobile energy storage vehicles as a target function, and considering mobile energy storage vehicle deployment area constraints, regional deployment upper limit constraints, demand power supply area access constraints and power upper limit constraints, the target function comprising: ； In the above formula, For the Deployment of the mobile energy storage vehicles in the power supply area with time period demand, represents the total power supply benefit of all mobile energy storage vehicles.​ S3, model optimization, judging whether the total power of all mobile energy storage vehicles can meet the total power demand of the serviced blocks, when the total power of all mobile energy storage vehicles cannot meet the total power demand, and there is a time period or region that needs to be preferentially powered, the sum of power supply benefits of all mobile energy storage vehicles is a first sum of power supply benefits: ； M is the total number of demand supply areas in the above formula, is a weight matrix, is is a supply demand table of the time period demand supply area, is a supply demand table of the time period demand supply area, denotes a multiplication operation of corresponding position elements of two conformal matrices; When the total power of all mobile energy storage vehicles can meet the total power demand, or when the total power of all mobile energy storage vehicles cannot meet the demand, and there is no time period or region that needs to be preferentially powered, the sum of power supply benefits of all mobile energy storage vehicles is a second sum of power supply benefits: ； wherein, is the remaining power, N is the total number of mobile energy storage vehicles, and T is the total number of demand power supply periods. S4, model solving, solving the mobile energy storage vehicle scheduling planning model through the optimization function of MATLAB to obtain an optimized scheduling table of all mobile energy storage vehicles. 2.The method of claim 1, wherein The duration of providing power service in the S1 According to the same time interval The chemical is divided into Periods, each period is represented by ; The area in the serviced block which needs to be powered by the mobile energy storage vehicle is divided into a plurality of demand power supply areas according to specific power demand, the number of the demand power supply areas is , and each demand power supply area is represented by . 3.The method of claim 1, wherein, In S2, the mobile energy storage vehicle deployment area constraints comprise: ； In the above formula, For the first The deployment of the first The deployment of the first The deployment of the first The deployment of the first The deployment of the first The deployment of the first The deployment of the first The deployment of the first The deployment of the first The deployment of the first The deployment of the first The mobile energy storage vehicle deployment area constraints are relaxed to convex constraints, and the relaxed mobile energy storage vehicle deployment area constraints comprise: ； The regional deployment upper limit constraints comprise: ； The above formula represents that a mobile energy storage vehicle can be deployed in at most one demand power supply region in the same time period; The demand power supply area access constraints comprise: ； The above formula represents that at most one mobile energy storage vehicle can be accessed to the same demand power supply region in the same time period; The power upper limit constraints comprise: ； In the above formula, As the energy storage of the vehicle. 4.The method of claim 1, wherein, In the S3, when the number of mobile energy storage vehicles is not less than the number of demand power supply regions, each demand power supply region has the opportunity to be allocated to a mobile energy storage vehicle in the same period, at this time, the total power demand of the serviced blocks This can be obtained by summing the power supply demand table: ； When the number of mobile energy storage vehicles is less than the number of demand power supply areas, at most one district can obtain the power supply service of the mobile energy storage vehicle in the same period, at this time, the total power demand of the serviced blocks is the maximum power demand that one mobile energy storage vehicle can meet in the total service time ； In the above formula, Indicates the time period Inside, find the table with the highest electricity demand. The system calculates the electricity demand of each power supply area and sums their respective electricity demands. calculating the total electrical energy of all mobile energy storage vehicles including: ； In the above formula, is the total electric energy of all mobile energy storage vehicles, is the total electric energy of the first mobile energy storage vehicle. 5.The method of claim 1, wherein, In S3, when the total power of all mobile energy storage vehicles cannot meet the total power demand, and there is a time period or region that needs to be preferentially powered, the limited power is distributed to the demand power supply region with higher value in a targeted manner, at this time, the first sum of power supply benefits comprises: ； In the above formula, is a weight matrix representing additional processing of the power demand in the demand supply table, the weight matrix being used to boost the weight of the demand supply region or time period of interest; In combination with the relaxed mobile energy storage vehicle deployment area constraints and the first sum of power supply benefits, a first target function is obtained, comprising: ； In the above formula, N is the total number of mobile energy storage vehicles, T is the total number of demand power supply time periods, and M is the total number of demand power supply regions. 6.The method of claim 4, wherein, In S3, the second sum of power supply benefits is obtained by minimizing the sum of residual power of each mobile energy storage vehicle in each time period, comprising: ； In the above formula, represent the first The remaining power of the mobile energy storage vehicle in the first time period, the When the total power of all mobile energy storage vehicles can meet the total power demand, or although it cannot meet the demand, there is no time period or area that needs priority power supply, the total power supply benefit of all mobile energy storage vehicles for making the optimizer allocate the power of all mobile energy storage vehicles to the earlier time period, and in each time period, as much as possible, select the power demand area with high power demand to provide power supply service; In combination with the relaxed mobile energy storage vehicle deployment area constraints and the second sum of power supply benefits, a second target function is obtained, comprising: ； In the above formula, N is the total number of mobile energy storage vehicles, and T is the total number of demand power supply time periods.

7. The method of claim 5, wherein, In the S4, when the high value demand power supply period or region is a high power demand period or region, ; when the high value demand supply period or region is a high electricity price period or region, the is a high electricity price weight matrix .

8. A mobile energy storage vehicle dispatch planning system oriented to multi-zone power supply demand, characterized in that, The system is used for executing the mobile energy storage vehicle scheduling planning method according to any one of claims 1 to 7, and specifically comprises a data processing module, a model construction module, a model optimization module and a model solving module; The data processing module is configured to determine a duration of time during which the mobile energy storage vehicle can provide power supply services and divide the duration of time into a plurality of time periods, divide the area in the serviced block that needs to be powered by the mobile energy storage vehicle into a plurality of demand power supply areas according to specific power demand, and obtain the specific power demand of each demand power supply area in each time period through user application and historical power demand records of each demand power supply area. The model construction module is used for constructing a mobile energy storage vehicle scheduling planning model, the mobile energy storage vehicle scheduling planning model taking the maximum sum of power supply benefits of all mobile energy storage vehicles as a target function, and considering mobile energy storage vehicle deployment area constraints, regional deployment upper limit constraints, demand power supply area access constraints and power upper limit constraints, the target function comprising: ； In the above formula, For the first Mobile energy storage vehicles in Time-of-use power supply area Deployment status, This represents the total electricity revenue generated by all mobile energy storage vehicles. The model optimization module is configured to determine whether the total electric energy of all mobile energy storage vehicles can meet the total electricity demand of the serviced block. When the total electric energy of all mobile energy storage vehicles cannot meet the total electricity demand, and there is a time period or region that needs to be preferentially powered, the total power supply benefit of all mobile energy storage vehicles is a first total power supply benefit: ； M is the total number of demand supply areas in the above formula, is a weight matrix, is Time period demand supply area of the power supply demand table, denotes the multiplication operation of the corresponding position elements of two conformal matrices; When the total electric energy of all mobile energy storage vehicles can meet the total electricity demand, or when the total electric energy of all mobile energy storage vehicles cannot meet the demand, and there is no time period or region that needs to be preferentially powered, the total power supply benefit of all mobile energy storage vehicles is a second total power supply benefit: ； wherein, is the remaining power, N is the total number of mobile energy storage vehicles, and T is the total number of demand power supply periods. The model solving module is configured to solve the mobile energy storage vehicle scheduling planning model by using an optimization function of MATLAB to obtain an optimized scheduling table of all mobile energy storage vehicles.

9. A mobile energy storage vehicle dispatch planning device oriented to multi-area power supply demand, characterized in that, The computer program is executed by the processor to perform the mobile energy storage vehicle scheduling planning method for multiple regional power supply demands according to the instructions in the computer program code. The computer program is executed by the processor to perform the mobile energy storage vehicle scheduling planning method for multiple regional power supply demands according to the instructions in the computer program code.

10. A computer storable medium having stored therein a computer program, characterized in that ​

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