A regional v2g resource dynamic scheduling method

Abstract

The application provides a regional V2G resource dynamic scheduling method, which comprises the following steps: (1) aggregating the batteries of the vehicles connected to each charging pile in the region to form a regional equivalent battery, and calculating the electric quantity SOC, dischargeable energy, chargeable energy, chargeable power and dischargeable power of the regional equivalent battery; (2) taking the maximum benefit as the target, determining the optimal charging and discharging power of the regional equivalent battery in the next period, and distributing the optimal charging and discharging power to the vehicles in the region. By aggregating the online vehicle batteries in the region into a regional equivalent battery with capacity, power and dischargeable capacity constraints, the individual discrete regulation is converted into global regulation of regional resources, the maximum regional benefit is taken as the target, the charging and discharging power of the regional equivalent battery is matched, and the charging and discharging power of the regional equivalent battery is distributed to the online vehicles, so that the adaptability of the system to load fluctuation and new energy output change is enhanced, and the maximum regional benefit is realized.

Description

Technical Field

[0001] This invention belongs to the field of power dispatching technology, and more specifically, this invention relates to a regional V2G resource dynamic dispatching method. Background Technology

[0002] Electric vehicles, as an adjustable resource with energy storage characteristics, can achieve bidirectional energy exchange between the power grid and users through vehicle-to-grid (V2G) technology, playing an important role in peak shaving and valley filling, promoting the consumption of new energy sources, and improving the flexibility of power grid operation.

[0003] Existing scheduling strategies are mostly designed for individual vehicles, which do not provide a detailed description of the SOC constraints and charging and discharging characteristics of individual electric vehicles. They lack dynamic availability modeling of electric vehicle groups over time, making it difficult to truly reflect or characterize the adjustment potential of V2G resources. Summary of the Invention

[0004] In view of this, this application provides a method for dynamic scheduling of regional V2G resources, which aims to improve at least one of the above-mentioned problems.

[0005] Specifically, the following technical solutions are included:

[0006] On one hand, embodiments of this application provide a method for dynamic scheduling of regional V2G resources, the method comprising:

[0007] (1) Aggregate the batteries of vehicles connected to each charging pile in the region to form a regional equivalent battery, and calculate the SOC, dischargeable energy, rechargeable energy, rechargeable power and dischargeable power of the regional equivalent battery.

[0008] (2) With the goal of maximizing the benefit, determine the optimal charge and discharge power of the equivalent battery in the region in the next cycle, and allocate the optimal charge and discharge power to the vehicles in the region.

[0009] In some embodiments of the present invention, the dischargeable energy of the equivalent battery in the region is calculated based on the remaining dischargeable energy of the vehicles connected to each charging pile within the region. The calculation formula is as follows:

[0010] ;

[0011] in, This represents the dischargeable energy of the equivalent cell in the region at time t. Let represent the remaining dischargeable energy of the vehicle connected to the i-th charging pile in the region at time t. This represents the set of vehicles connected to charging stations within the area.

[0012] In some embodiments of the present invention, the minimum value of the allowable constraint is based on the SOC. The remaining dischargeable energy of the vehicle is calculated using the following formula:

[0013] ;

[0014] in, Let SOC represent the SOC of the vehicle connected to the i-th charging pile in the region at time t.

[0015] In some embodiments of the present invention, the rechargeable energy of the equivalent battery in the region is calculated based on the remaining rechargeable energy of the vehicles connected to each charging pile within the region. The calculation formula is as follows:

[0016] ;

[0017] in, This represents the rechargeable energy of the equivalent battery in the region at time t. This represents the remaining rechargeable energy of the vehicle connected to the i-th charging pile in the region at time t.

[0018] In some embodiments of the present invention, the maximum value of the allowable release constraint based on the SOC is used. The remaining rechargeable energy of the vehicle is calculated using the following formula:

[0019] ;

[0020] in, Let SOC represent the SOC of the vehicle connected to the i-th charging pile in the region at time t.

[0021] In some embodiments of the present invention, the objective function is expressed as follows:

[0022] ;

[0023] ;

[0024] in, This represents the charging and discharging power of the equivalent cell in the region at time t. During the discharge of the equivalent cell in the region... When the equivalent battery in the region is being charged, ; This represents the electricity price in the region at time t. Indicates the duration between adjacent periods. This represents the power consumption on the grid side at time t; This represents the photovoltaic power of the region at time t. This represents the load power of the region at time t.

[0025] In some embodiments of the present invention, the charging and discharging power When the value is greater than 0, the equivalent battery discharge in the region is determined based on the vehicle's cumulative discharge amount from arrival time to time t, the vehicle's SOC discharge margin, and the urgency of departure, to establish the discharge priority index for vehicles connected to charging piles within the region. Prioritize discharge power High discharge priority indicators allocated within the region The vehicles.

[0026] In some embodiments of the present invention, the discharge priority index of the vehicle connected to the i-th charging pile in the region is... The specific acquisition process is as follows:

[0027] Calculate the arrival time of the vehicle connected to the i-th charging pile in the region. Cumulative discharge amount up to time t SOC discharge margin and the urgency of leaving the station The discharge priority index of the vehicle connected to the i-th charging pile in the region. ,in, , , All are weighting coefficients.

[0028] In some embodiments of the present invention, the charging and discharging power When the load factor is less than 0, the equivalent battery charging in the region is based on the vehicle's SOC (State of Charge) rechargeability margin and the urgency of leaving the charging station, determining the charging priority index for vehicles connected to charging piles within the region. Prioritize charging power High charging priority indicators are allocated within the region. The vehicles.

[0029] In some embodiments of the present invention, the charging priority index of the vehicle connected to the i-th charging pile in the region is... The specific acquisition process is as follows:

[0030] Calculate the SOC (State of Charge) margin for vehicles connected to the i-th charging pile in the region. and the urgency of leaving the station The charging priority index of the vehicle connected to the i-th charging pile in the region. ,in, , All are weighting coefficients.

[0031] This invention transforms individual discrete control into global control of regional resources by aggregating all online vehicle batteries within a region into a regional equivalent battery with constraints on capacity, power, and discharge capability. With the goal of maximizing regional benefits, the charging and discharging power of the regional equivalent battery is matched and dynamically allocated to online vehicles. This not only enhances the system's adaptability to load fluctuations and changes in new energy output but also maximizes regional benefits. Attached Figure Description

[0032] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0033] Figure 1 A flowchart of a regional V2G resource dynamic scheduling method provided in an embodiment of the present invention;

[0034] Figure 2 This is a schematic diagram of the structure of a regional V2G resource dynamic scheduling device provided in an embodiment of the present invention;

[0035] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0036] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0037] Unless otherwise defined, all technical terms used in the embodiments of this application have the same meaning as commonly understood by one of ordinary skill in the art.

[0038] This invention transforms the individual discrete control into global control of regional resources by aggregating all online vehicle batteries within a region into a regional equivalent battery with constraints on capacity, power, and discharge capability. With the goal of maximizing regional benefits, it matches the charging and discharging power of the out-of-region equivalent battery and dynamically allocates the charging and discharging power of the out-of-region equivalent battery to online vehicles. This not only enhances the system's adaptability to load fluctuations and changes in new energy output but also maximizes regional benefits. Figure 1 The flowchart below shows a method for dynamic scheduling of regional V2G resources provided in an embodiment of the present invention. The method is as follows:

[0039] (1) Aggregate the batteries of vehicles connected to each charging pile in the area to form an equivalent battery for the area, and calculate the capacity of the equivalent battery for the area. Dischargeable energy Rechargeable energy Rechargeable power and discharge power ;

[0040] In this embodiment of the invention, the equivalent battery capacity of the region is calculated based on the State of Charge (SOC) of the vehicles connected to each charging pile within the region. The specific calculation formula is as follows:

[0041] (1)

[0042] in, Let SOC represent the state of charge (SOC) of the equivalent battery at time t. Indicates the rated capacity of the equivalent battery in the region. This represents the state of charge (SOC) of the vehicle connected to the i-th charging pile in the region at time t. This represents the set of vehicles connected to charging stations within a given area, where the rated capacity of the area's equivalent battery is [value missing]. The specific calculation formula is as follows:

[0043] (2)

[0044] in, This represents the rated battery capacity of the vehicle connected to the i-th charging station in the region.

[0045] In this embodiment of the invention, the dischargeable energy of the equivalent battery in the region is calculated based on the remaining dischargeable energy and remaining rechargeable energy of the vehicles connected to each charging pile within the region. Rechargeable energy Among them, the discharge energy of the regional equivalent battery The calculation formula is as follows:

[0046] (3)

[0047] in, This represents the dischargeable energy of the equivalent cell in the region at time t. This represents the remaining dischargeable energy of the vehicle connected to the i-th charging station in the region at time t. The rechargeable energy of the equivalent battery in the region. The specific calculation formula is as follows:

[0048] (4)

[0049] in, This represents the rechargeable energy of the equivalent battery in the region at time t. This represents the remaining rechargeable energy of the vehicle connected to the i-th charging pile in the region at time t.

[0050] In this embodiment of the invention, the remaining dischargeable energy and remaining rechargeable energy of each vehicle connected to a charging pile within the vehicle data calculation area are used to describe the feasible charging and discharging capacity of a single vehicle, which is used to describe the adjustable capacity of the corresponding vehicle in the time dimension.

[0051] Vehicle data is collected, including: battery rated capacity, current SOC, minimum and maximum allowable SOC limits, and set departure SOC. This represents the rated battery capacity of the vehicle connected to the i-th charging station in the region, expressed as... This represents the current State of Charge (SOC) of the vehicle connected to the i-th charging station in the region, expressed as... , Let SOC and SOC represent the minimum and maximum allowable limits for the SOC of the vehicle connected to the i-th charging pile in the region, respectively. Let SOC be the outgoing SOC of the vehicle connected to the i-th charging pile in the region, based on the minimum allowable SOC release constraint. Calculate the remaining dischargeable energy of the vehicle connected to the i-th charging station in the region. Its specific expression is as follows:

[0052] (5)

[0053] Maximum value based on SOC allowable release constraint Calculate the remaining rechargeable energy of the vehicle connected to the i-th charging station in the region. Its specific expression is as follows:

[0054] (6)

[0055] in, Let SOC represent the SOC of the vehicle connected to the i-th charging pile in the region at time t.

[0056] In this embodiment of the invention, the state equation for the change of the vehicle's State of Charge (SOC) over time is as follows:

[0057] (7)

[0058] in, Let represent the charging power of the i-th charging pile in the region at time t-1. This represents the discharge power of the i-th charging pile in the region at time t-1. This represents the State of Charge (SOC) of the vehicle connected to the i-th charging station in the region at time t-1. A charging station can only be in either charging or discharging state at any given time. When a charging station is in charging state... When the vehicle is charging, Formula (3) records the state equation of the change of SOC with time, which takes into account the influence of charging and discharging efficiency on the change of SOC and can truly reflect the process of battery energy change.

[0059] To ensure battery safety and meet user needs, the State of Charge (SOC) of vehicles connected to V2G charging stations must meet the following two constraints, as detailed below:

[0060] The vehicle's SOC (State of Charge) charging and discharging range constraints are as follows:

[0061] (8)

[0062] The power constraint when the vehicle leaves the station is expressed as follows:

[0063] (9)

[0064] in, This indicates the departure time of the vehicle connected to the i-th charging station in the region. SOC (State of Charge) This represents the relaxation amount introduced by the i-th charging pile in the region. The relaxation amount is introduced to solve the case where the model has no solution.

[0065] In this embodiment of the invention, charging pile data of each charging pile in the area is read. The charging pile data includes the arrival and departure times of the vehicle connected to the charging pile. The arrival and departure times are mostly preset times by the user. The charging pile's maximum allowable charging power, maximum allowable discharging power, charging efficiency, and discharging efficiency are also included. , Let these represent the arrival time and departure time of the vehicle connected to the i-th charging pile in the region, respectively. , Let represent the maximum allowable charging power and the maximum allowable discharging power of the i-th charging pile in the region, respectively. , Let represent the charging efficiency and discharging efficiency of the i-th charging pile in the region, respectively.

[0066] Calculate the rechargeable power of the equivalent battery in the calculation region. and discharge power Among them, the discharge power of the regional equivalent battery The calculation formula is as follows:

[0067] (10)

[0068] in, This represents the discharge power of the equivalent cell in the region at time t. Let represent the discharge power of the vehicle connected to the i-th charging pile in the region at time t. The following constraints must be satisfied:

[0069] (11)

[0070] In this embodiment of the invention, the rechargeable power of the regional equivalent battery The calculation formula is as follows:

[0071] (12)

[0072] in, This represents the rechargeable power of the equivalent battery in the region at time t. Let represent the charging power of the vehicle connected to the i-th charging pile in the region at time t. The following constraints must be satisfied:

[0073] (13)

[0074] (2) With the goal of maximizing profit, determine the charge and discharge power of the equivalent battery in the region in the next cycle. The equivalent charge / discharge power of the region's battery in the next cycle. Vehicles assigned to the area.

[0075] In this embodiment of the invention, the predicted data of the regional power grid for future periods are first obtained. Photovoltaic modules are installed in the region, and the electrical energy output by the photovoltaic modules supplies power to the loads in the region. The loads in the region include charging stations and other loads. When the electrical energy output by the photovoltaic modules can meet the load demand in the region, the remaining electrical energy is fed into the power grid. When the electrical energy output by the photovoltaic modules cannot meet the load demand in the region, the loads in the region are supplemented with power through the power grid.

[0076] In this embodiment of the invention, predictions are made based on historical data-driven models or by directly reading prediction data from the regional power grid for future periods. The prediction data includes: the region's photovoltaic power, load power, and electricity price for future periods, and the region's photovoltaic power at time t. The expression represents the load power of the region at time t. This indicates that the electricity price in the region at time t is... It means that, among them, , Indicates the current time, using the current time Starting from this point, the charging and discharging power of a region in the future is predicted by rolling over a time window covering future periods (e.g., 4 hours). The length of the time window is Δt (set to 15 minutes). Using a unified scheduling time scale not only facilitates the efficient fusion of different types of data, but also lays a stable time benchmark for optimization calculations.

[0077] This invention uses maximizing profit as the objective function, which is as follows:

[0078] (14)

[0079] The system power balance equations are as follows:

[0080] (15)

[0081] in, This represents the power consumption on the grid side at time t, i.e., the output power of the region connected to the grid; This represents the predicted photovoltaic power of the region at time t. This represents the load power of the region at time t, when the region's equivalent battery is discharging. When the equivalent battery in the region is being charged, .

[0082] The power consumption must meet the following constraints: ,in, This indicates the maximum power consumption of the designated area;

[0083] Energy constraints: or ;

[0084] Under the premise of satisfying the above two constraints, the charge-discharge power curve of the equivalent battery in the region under the condition of maximizing the benefit is obtained in the next cycle. .

[0085] In this embodiment of the invention, the charging and discharging power When the value is greater than 0, the equivalent battery discharge in the region is determined based on the vehicle's cumulative discharge amount from arrival time to time t, the vehicle's SOC discharge margin, and the urgency of departure, to establish the discharge priority index for vehicles connected to charging piles within the region. Prioritize discharge power High discharge priority indicators allocated within the region Among the vehicles, the discharge priority index The specific process for obtaining it is as follows:

[0086] Calculate the arrival time of the vehicle connected to the i-th charging pile in the region. Cumulative discharge amount up to time t SOC discharge margin and the urgency of leaving the station The discharge priority index of the vehicle connected to the i-th charging pile in the region. ,in, , , All are weighting coefficients, based on discharge priority indicators. The vehicles within the area are sorted from highest to lowest power, and their discharge power is then determined sequentially. The discharge power of the vehicle connected to the i-th charging pile in the area is allocated sequentially to each vehicle. The calculation is based on the following formula:

[0087] (16)

[0088] exist When the battery level is less than 0, the regional equivalent battery charging prioritizes vehicles connected to charging stations within the region based on the vehicle's SOC (State of Charge) rechargeability margin and the urgency of leaving the charging station. Prioritize charging power High charging priority indicators are allocated within the region. Among the vehicles, charging priority indicators The specific process for obtaining it is as follows:

[0089] Calculate the SOC (State of Charge) margin for vehicles connected to the i-th charging pile in the region. and the urgency of leaving the station The charging priority index of the vehicle connected to the i-th charging pile in the region. ,in, , All are weighting coefficients, based on charging priority indicators. Vehicles within the area are sorted from highest to lowest charging power, and charging power is assigned sequentially. The charging power of the vehicle connected to the i-th charging pile in the area is allocated sequentially to each vehicle. The calculation is based on the following formula:

[0090] (17)

[0091] In this embodiment of the invention; the vehicle's SOC discharge margin It is expressed as follows:

[0092] (18)

[0093] Departure urgency It is expressed as follows:

[0094] (19)

[0095] in, To prevent constants with a denominator of zero.

[0096] Vehicle's SOC charging margin It is expressed as follows:

[0097] (20)

[0098] The above-mentioned charging and discharging power allocation strategy combines battery status, SOC margin, and off-site urgency to allocate the charging and discharging power of the equivalent battery in the region to online vehicles, effectively balancing battery life protection and user demand assurance, thereby improving the overall operational economy, reliability, and sustainability of the regional energy system.

[0099] This invention transforms individual discrete control into global control of regional resources by aggregating online vehicle batteries within a region into regional equivalent batteries with constraints on capacity, power, and discharge capability. With the goal of maximizing regional benefits, it matches the charging and discharging power of the out-of-region equivalent batteries and allocates the charging and discharging power of the out-of-region equivalent batteries to online vehicles. This not only enhances the system's adaptability to load fluctuations and changes in new energy output but also maximizes regional benefits.

[0100] Figure 2 This is a schematic diagram of a regional V2G resource dynamic scheduling device provided in an embodiment of the present invention. For ease of explanation, only the parts related to the embodiment of the present invention are shown. The device includes:

[0101] The system comprises a data reading unit, an equivalent battery construction unit, an optimization unit, and an allocation unit. The data reading unit reads charging pile data, connected vehicle data, and predicted data from the regional power grid for future periods. The equivalent battery construction unit aggregates the batteries of vehicles connected to each charging pile within the region to form a regional equivalent battery and calculates the capacity of the regional equivalent battery. Dischargeable energy Rechargeable energy Rechargeable power and discharge power The optimization unit is used to determine the charge / discharge power of the regional equivalent battery in the next cycle under maximum benefit. The distribution unit is used to allocate the charge and discharge power of the equivalent battery in the region during the next cycle. Vehicles assigned to the area.

[0102] In this embodiment of the invention, the equivalent battery construction unit calculates the equivalent battery capacity of the region based on the State of Charge (SOC) of the vehicles connected to each charging pile within the region. The specific calculation formula is as follows:

[0103] (1)

[0104] in, Let SOC represent the state of charge (SOC) of the equivalent battery at time t. Indicates the rated capacity of the equivalent battery in the region. This represents the state of charge (SOC) of the vehicle connected to the i-th charging pile in the region at time t. This represents the set of vehicles connected to charging stations within a given area, where the rated capacity of the area's equivalent battery is [value missing]. The specific calculation formula is as follows:

[0105] (2)

[0106] in, This represents the rated battery capacity of the vehicle connected to the i-th charging station in the region.

[0107] In this embodiment of the invention, the equivalent battery construction unit calculates the discharge energy of the equivalent battery in the region based on the remaining dischargeable energy and remaining rechargeable energy of the vehicles connected to each charging pile within the region. Rechargeable energy Among them, the discharge energy of the regional equivalent battery The calculation formula is as follows:

[0108] (3)

[0109] in, This represents the dischargeable energy of the equivalent cell in the region at time t. This represents the remaining dischargeable energy of the vehicle connected to the i-th charging station in the region at time t. The rechargeable energy of the equivalent battery in the region. The specific calculation formula is as follows:

[0110] (4)

[0111] in, This represents the rechargeable energy of the equivalent battery in the region at time t. This represents the remaining rechargeable energy of the vehicle connected to the i-th charging pile in the region at time t.

[0112] In this embodiment of the invention, the remaining dischargeable energy and remaining rechargeable energy of each vehicle connected to a charging pile within the vehicle data calculation area are used to describe the feasible charging and discharging capacity of a single vehicle, which is used to describe the adjustable capacity of the corresponding vehicle in the time dimension.

[0113] The data reading unit reads vehicle data, including: battery rated capacity, current SOC, the minimum and maximum allowed SOC release constraints, and the set departure SOC. This represents the rated battery capacity of the vehicle connected to the i-th charging station in the region, expressed as... This represents the current State of Charge (SOC) of the vehicle connected to the i-th charging station in the region, expressed as... , Let SOC and SOC represent the minimum and maximum allowable limits for the SOC of the vehicle connected to the i-th charging pile in the region, respectively. Let SOC represent the off-site SOC of the vehicle connected to the i-th charging pile in the region, and let the minimum value of the equivalent battery building block be based on the allowable SOC constraint. Calculate the vehicle's remaining dischargeable energy. Its specific expression is as follows:

[0114] (5)

[0115] The maximum value of the equivalent cell building block based on the SOC allowable expansion constraint. Calculate the vehicle's remaining rechargeable energy. Its specific expression is as follows:

[0116] (6)

[0117] in, Let SOC represent the SOC of the vehicle connected to the i-th charging pile in the region at time t.

[0118] In this embodiment of the invention, the state equation for the change of the vehicle's State of Charge (SOC) over time is as follows:

[0119] (7)

[0120] in, Let represent the charging power of the i-th charging pile in the region at time t-1. This represents the discharge power of the i-th charging pile in the region at time t-1. This represents the State of Charge (SOC) of the vehicle connected to the i-th charging station in the region at time t-1. A charging station can only be in either charging or discharging state at any given time. When a charging station is in charging state... When the vehicle is charging, Formula (3) records the state equation of the change of SOC with time, which takes into account the influence of charging and discharging efficiency on the change of SOC and can truly reflect the process of battery energy change.

[0121] To ensure battery safety and meet user needs, the State of Charge (SOC) of vehicles connected to V2G charging stations must meet the following two constraints, as detailed below:

[0122] The vehicle's SOC (State of Charge) charging and discharging range constraints are as follows:

[0123] (8)

[0124] The power constraint when the vehicle leaves the station is expressed as follows:

[0125] (9)

[0126] in, This indicates the departure time of the vehicle connected to the i-th charging station in the region. SOC (State of Charge) This represents the relaxation amount introduced by the i-th charging pile in the region. The relaxation amount is introduced to solve the case where the model has no solution.

[0127] In this embodiment of the invention, the data reading unit reads charging pile data from each charging pile within the area. The charging pile data includes the arrival and departure times of the vehicle connected to the charging pile. The arrival and departure times are mostly preset times by the user, along with the charging pile's maximum allowable charging power, maximum allowable discharging power, charging efficiency, and discharging efficiency. , Let these represent the arrival time and departure time of the vehicle connected to the i-th charging pile in the region, respectively. , Let represent the maximum allowable charging power and the maximum allowable discharging power of the i-th charging pile in the region, respectively. , Let represent the charging efficiency and discharging efficiency of the i-th charging pile in the region, respectively.

[0128] The rechargeable power of the equivalent cell in the equivalent cell building block calculation region. and discharge power Among them, the discharge power of the regional equivalent battery The calculation formula is as follows:

[0129] (10)

[0130] in, This represents the discharge power of the equivalent cell in the region at time t. Let represent the discharge power of the vehicle connected to the i-th charging pile in the region at time t. The following constraints must be satisfied:

[0131] (11)

[0132] In this embodiment of the invention, the rechargeable power of the regional equivalent battery The calculation formula is as follows:

[0133] (12)

[0134] in, This represents the rechargeable power of the equivalent battery in the region at time t. Let represent the charging power of the vehicle connected to the i-th charging pile in the region at time t. The following constraints must be satisfied:

[0135] (13)

[0136] In this embodiment of the invention, photovoltaic (PV) modules are installed within the area. The electrical energy output by the PV modules supplies power to the loads within the area, including charging stations and other loads. When the electrical energy output by the PV modules meets the load demand within the area, the remaining electrical energy is fed into the power grid. When the electrical energy output by the PV modules does not meet the load demand within the area, the power grid provides supplementary power to the loads within the area. The data reading unit makes predictions based on historical data-driven models or directly reads predicted data from the regional power grid for future periods. The predicted data includes: the PV power, load power, and electricity price of the area in the future period. The predicted PV power of the area at time t is... The value represents the predicted load power of the region at time t. This indicates that the electricity price in the region at time t is... It means that, among them, , Indicates the current time, using the current time Starting from this point, the charging and discharging power of a region in the future is predicted by rolling over a time window covering future periods (e.g., 4 hours). The length of the time window is Δt (set to 15 minutes). Using a unified scheduling time scale not only facilitates the efficient fusion of different types of data, but also lays a stable time benchmark for optimization calculations.

[0137] The optimization unit uses maximizing profit as its objective function, which is as follows:

[0138] (14)

[0139] The system power balance equations are as follows:

[0140] (15)

[0141] in, This represents the power consumption on the grid side at time t, i.e., the output power of the region connected to the grid; This represents the photovoltaic power of the region at time t. This represents the load power of the region at time t, when the region's equivalent battery is discharging. When the equivalent battery in the region is being charged, .

[0142] The power consumption must meet the following constraints: ,in, This indicates the maximum power consumption of the designated area;

[0143] Energy constraints: or ;

[0144] Under the premise of satisfying the above two constraints, the optimization unit matches the charge-discharge power curve of the equivalent battery in the region under the condition of maximizing the benefit in the next cycle. .

[0145] In this embodiment of the invention, the charging and discharging power When the value is greater than 0, the equivalent battery in the area discharges. The allocation unit determines the discharge priority index of vehicles connected to charging piles in the area based on the vehicle's cumulative discharge amount from the arrival time to time t, the vehicle's SOC discharge margin, and the urgency of departure. Prioritize discharge power High discharge priority indicators allocated within the region Among the vehicles, the discharge priority index The specific process for obtaining it is as follows:

[0146] Calculate the arrival time of the vehicle connected to the i-th charging pile in the region. Cumulative discharge amount up to time t SOC discharge margin and the urgency of leaving the station The discharge priority index of the vehicle connected to the i-th charging pile in the region. ,in, , , All are weighting coefficients, based on discharge priority indicators. The vehicles within the area are sorted from highest to lowest power, and their discharge power is then determined sequentially. The discharge power of the vehicle connected to the i-th charging pile in the area is allocated sequentially to each vehicle. The calculation is based on the following formula:

[0147] (16)

[0148] exist When the battery level is less than 0, the area's equivalent battery charging is performed. The allocation unit determines the charging priority index for vehicles connected to charging piles within the area based on the vehicle's SOC (State of Charge) rechargeability margin and the urgency of leaving the charging station. Prioritize charging power High charging priority indicators are allocated within the region. Among the vehicles, charging priority indicators The specific process for obtaining it is as follows:

[0149] Calculate the SOC (State of Charge) margin for vehicles connected to the i-th charging pile in the region. and the urgency of leaving the station The charging priority index of the vehicle connected to the i-th charging pile in the region. ,in, , All are weighting coefficients, based on charging priority indicators. Vehicles within the area are sorted from highest to lowest charging power, and charging power is assigned sequentially. The charging power of the vehicle connected to the i-th charging pile in the area is allocated sequentially to each vehicle. The calculation is based on the following formula:

[0150] (17)

[0151] In this embodiment of the invention; the vehicle's SOC discharge margin It is expressed as follows:

[0152] (18)

[0153] Departure urgency It is expressed as follows:

[0154] (19)

[0155] in, To prevent constants with a denominator of zero.

[0156] Vehicle's SOC charging margin It is expressed as follows:

[0157] (20)

[0158] The above-mentioned charging and discharging power allocation strategy combines battery status, SOC margin, and off-site urgency to allocate the charging and discharging power of the equivalent battery in the region to online vehicles, effectively balancing battery life protection and user demand assurance, thereby improving the overall operational economy, reliability, and sustainability of the regional energy system.

[0159] It should be noted that the apparatus provided in the above embodiments is only illustrated by the division of the above functional modules when implementing its functions. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0160] This device aggregates online vehicle batteries within a region into a regional equivalent battery with constraints on capacity, power, and discharge capability. This enables a shift from individual discrete control to global control of regional resources. With the goal of maximizing regional benefits, it matches the charging and discharging power of the regional equivalent battery and allocates it to online vehicles. This not only enhances the system's adaptability to load fluctuations and changes in new energy output but also maximizes regional benefits.

[0161] One embodiment of this application provides a terminal device including a processor and a memory. The processor may include one or more processing cores, such as a quad-core processor, an octa-core processor, etc. The processor may be implemented using at least one hardware form selected from Digital Signal Processing (DSP), Field Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor may also include a main processor and a coprocessor. The main processor is used to process data in the wake-up state, also known as a central processing unit (CPU); the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor may integrate a Graphics Processing Unit (GPU), which is responsible for rendering and drawing the content required to be displayed on the screen. In some embodiments, the processor may also include an AI processor, which is used to handle computational operations related to machine learning. The memory may include one or more computer-readable storage media, which may be non-transitory. The memory may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, a non-transitory computer-readable storage medium in the memory is used to store a computer program configured to be executed by one or more processors to implement the above-described regional V2G resource dynamic scheduling method.

[0162] In some embodiments, the terminal device may also optionally include: a peripheral device interface and at least one peripheral device. The processor, memory, and peripheral device interface can be connected via a bus or signal lines. Each peripheral device can be connected to the peripheral device interface via a bus, signal lines, or a circuit board. Specifically, the peripheral device includes at least one of: radio frequency circuitry, a display screen, audio circuitry, and a power supply. Those skilled in the art will understand that the above structure does not constitute a limitation on the terminal device, and may include more or fewer components than illustrated, or combine certain components, or employ different component arrangements.

[0163] In an exemplary embodiment, a computer-readable storage medium is also provided, wherein a computer program is stored in the storage medium, and the computer program, when executed by a processor, implements the aforementioned regional V2G resource dynamic scheduling method. Optionally, the computer-readable storage medium may include: read-only memory (ROM), random access memory (RAM), solid-state drive (SSD), or optical disk, etc. The random access memory may include resistive random access memory (ReRAM) and dynamic random access memory (DRAM).

[0164] In an exemplary embodiment, a computer program product is also provided, the computer program product including a computer program stored in a computer-readable storage medium. A processor of a terminal device reads the computer program from the computer-readable storage medium, and the processor executes the computer program, causing the terminal device to perform the aforementioned regional V2G resource dynamic scheduling method.

[0165] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only.

[0166] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for dynamic scheduling of regional V2G resources, characterized in that, The method includes: (1) Aggregate the batteries of vehicles connected to each charging pile in the region to form a regional equivalent battery, and calculate the SOC, dischargeable energy, rechargeable energy, rechargeable power and dischargeable power of the regional equivalent battery. (2) With the goal of maximizing the benefit, determine the optimal charge and discharge power of the equivalent battery in the region in the next cycle, and allocate the optimal charge and discharge power to the vehicles in the region.

2. The regional V2G resource dynamic scheduling method as described in claim 1, characterized in that, The dischargeable energy of the equivalent battery in the region is calculated based on the remaining dischargeable energy of the vehicles connected to each charging station within the region. The calculation formula is as follows: ； in, This represents the dischargeable energy of the equivalent cell in the region at time t. Let represent the remaining dischargeable energy of the vehicle connected to the i-th charging pile in the region at time t. This represents the set of vehicles connected to charging stations within the area.

3. The regional V2G resource dynamic scheduling method as described in claim 2, characterized in that, Minimum value based on SOC allowable placement constraint The remaining dischargeable energy of the vehicle is calculated using the following formula: ； in, Let SOC represent the SOC of the vehicle connected to the i-th charging pile in the region at time t.

4. The regional V2G resource dynamic scheduling method as described in claim 1, characterized in that, The rechargeable energy of the equivalent battery in the region is calculated based on the remaining rechargeable energy of the vehicles connected to each charging station within the region. The calculation formula is as follows: ； in, This represents the rechargeable energy of the equivalent battery in the region at time t. This represents the remaining rechargeable energy of the vehicle connected to the i-th charging pile in the region at time t.

5. The regional V2G resource dynamic scheduling method as described in claim 4, characterized in that, Maximum value based on SOC allowable release constraint The remaining rechargeable energy of the vehicle is calculated using the following formula: ； in, Let SOC represent the SOC of the vehicle connected to the i-th charging pile in the region at time t.

6. The regional V2G resource dynamic scheduling method as described in claim 1, characterized in that, The objective function is expressed as follows: ； ； in, This represents the charging and discharging power of the equivalent cell in the region at time t. During the discharge of the equivalent cell in the region... When the equivalent battery in the region is being charged, ; This represents the electricity price in the region at time t. Indicates the duration between adjacent periods. This represents the power consumption on the grid side at time t; This represents the photovoltaic power of the region at time t. This represents the load power of the region at time t.

7. The regional V2G resource dynamic scheduling method as described in claim 1, characterized in that, In charge and discharge power When the value is greater than 0, the equivalent battery discharge in the region is determined based on the vehicle's cumulative discharge amount from arrival time to time t, the vehicle's SOC discharge margin, and the urgency of departure, to establish the discharge priority index for vehicles connected to charging piles within the region. Prioritize discharge power High discharge priority indicators allocated within the region The vehicles.

8. The regional V2G resource dynamic scheduling method as described in claim 7, characterized in that, Discharge priority index of the vehicle connected to the i-th charging pile in the region The acquisition process is as follows: Calculate the arrival time of the vehicle connected to the i-th charging pile in the region. Cumulative discharge amount up to time t SOC discharge margin and the urgency of leaving the station The discharge priority index of the vehicle connected to the i-th charging pile in the region. ,in, , , All are weighting coefficients.

9. The regional V2G resource dynamic scheduling method as described in claim 1, characterized in that, In charge and discharge power When the load is less than 0, the equivalent battery charging in the area is determined based on the vehicle's SOC (State of Charge) rechargeability margin and the urgency of leaving the charging station, setting a charging priority index for vehicles connected to charging piles within the area. Prioritize charging power High charging priority indicators are allocated within the region. The vehicles.

10. The regional V2G resource dynamic scheduling method as described in claim 9, characterized in that, Charging priority index of the vehicle connected to the i-th charging pile in the region The acquisition process is as follows: Calculate the SOC (State of Charge) margin for vehicles connected to the i-th charging pile in the region. and the urgency of leaving the station The charging priority index of the vehicle connected to the i-th charging pile in the region. ,in, , All are weighting coefficients.

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