V2G station power control methods, systems and computer equipment
By collecting operational data in V2G substations, smoothing power is obtained and compensation power commands are decomposed, solving the problem of difficulty in balancing response speed and compensation accuracy in existing technologies. This achieves stable and robust power control, improving the stability and efficiency of power grid operation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN DINGWANG TECH CO LTD
- Filing Date
- 2026-03-19
- Publication Date
- 2026-05-26
AI Technical Summary
Existing V2G stations struggle to balance response speed, compensation accuracy, and station revenue, especially under large-scale vehicle concurrency, making it difficult to achieve smooth, stable, and highly robust power control.
A V2G power control method is adopted, which collects operating data, obtains smooth power, calculates power deviation, and generates compensation power commands based on compensation coefficients and total maximum adjustable power. This gradually eliminates power deviation, achieves adaptive compensation and rolling correction, and avoids sudden power changes.
It achieves smooth, stable and highly robust power control without changing the grid dispatch objectives, taking into account response speed, compensation accuracy and station benefits, suppressing power surges, and improving grid connection stability and grid operation efficiency.
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Figure CN121871444B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the fields of new energy and electronic power control technology, and in particular to a V2G power control method, system and computer equipment for power control at power stations. Background Technology
[0002] With the increasing popularity of electric vehicles and the improvement of battery system performance, the ultra-high charging power and rapid energy replenishment demand are gradually challenging the stability of the entire power grid. To address the stability issue, existing technologies have proposed V2G (Vehicle-to-Grid) stations. V2G stations are specialized sites equipped with V2G bidirectional charging and discharging equipment and intelligent dispatching systems, enabling bidirectional energy and information exchange between new energy vehicles and the power grid. They can utilize vehicle power batteries as mobile energy storage units to participate in grid peak shaving, backup, and other ancillary services, while also providing charging and reverse discharge services.
[0003] While current V2G stations can alleviate some grid load, they have the following problems: existing technologies mostly use fixed power limiting, simple filtering or centralized dispatching for control, but these methods are difficult to balance response speed, compensation accuracy and station benefits, especially under large-scale vehicle concurrency, it is difficult to achieve smooth, stable and highly robust power control. Summary of the Invention
[0004] Therefore, it is necessary to provide a V2G station power control method, system, and computer equipment that can achieve smooth, stable, and highly robust power control to address the aforementioned technical problems.
[0005] A V2G power control method includes the following steps:
[0006] During the current control cycle or current control period, collect operational data from V2G stations; operational data includes electrical equipment data, station data, user setting parameters, and resident load data;
[0007] When determining that a power control event is triggered at a V2G substation based on operational data, smoothed power is obtained from the operational data; power control events include at least power surge events and changes in the maximum power regulation of the grid.
[0008] The power deviation is obtained based on the target power benchmark and the smoothed power; the target power benchmark is generated based on the power grid dispatch instructions, agreed power, or station operation strategy.
[0009] The smooth compensation power is obtained based on the compensation coefficient, the total maximum adjustable power, and the power deviation; the compensation coefficient can be adjusted according to the magnitude and rate of change of the power deviation; the total maximum adjustable power is the sum of the maximum adjustable power of the target objects to be compensated; the target objects to be compensated are selected from all charging devices in the V2G station based on the priority evaluation model;
[0010] The smoothing compensation power is decomposed according to the target object to be compensated, and a compensation power instruction corresponding to the target object to be compensated is generated.
[0011] The compensation power command is sent to the corresponding target object to be compensated, so as to perform power compensation on the target object.
[0012] In one embodiment, when determining that a V2G station has triggered a power control event based on operational data, the step of obtaining smoothed power based on the operational data includes:
[0013] When determining the V2G station triggers a power control event based on the operating data, the sum of the charging and discharging power of all charging devices in the operating data is calculated to obtain the current real-time power of the V2G station.
[0014] The current real-time power of the power station is predicted or smoothed in a short time to obtain smoothed power.
[0015] In one embodiment, the step of performing short-time prediction or smoothing on the current power station's real-time power to obtain smoothed power involves performing short-time prediction or smoothing on the current power station's real-time power based on the following model:
[0016] P_f(t)=P_f(t-1)+(Δt / τ) [P_in(t)-P_f(t-1)];
[0017] Where Δt represents the control period or control time interval, τ represents the smoothing time constant, t represents the time; P_f(t) represents the smoothed power at time t; P_f(t-1) represents the smoothed power at time t-1; and P_in(t) represents the real-time power of the current station.
[0018] In one embodiment, the step of obtaining the smoothing compensation power based on the compensation coefficient, the total maximum adjustable power, and the power deviation includes:
[0019] The rapid change component is obtained based on the first compensation coefficient and the power deviation in the compensation coefficient.
[0020] The slow-varying component is obtained based on the second compensation coefficient and the power deviation in the compensation coefficient.
[0021] Calculate the sum of the fast-changing component and the slow-changing component to obtain the smooth compensation power, and the absolute value of the smooth compensation power must be less than or equal to the total maximum adjustable power.
[0022] In one embodiment, in the step of obtaining the fast-changing component based on the first compensation coefficient and the power deviation in the compensation coefficients, the fast-changing component is obtained based on the following model:
[0023] Rapidly variable component = K_p(t) ΔP(t);
[0024] Where K_p(t) represents the first compensation coefficient; ΔP(t) represents the power deviation at time t;
[0025] Based on the second compensation coefficient and power deviation in the compensation coefficients, the slowly varying component is obtained. In the step of obtaining the rapidly varying component, the slowly varying component is obtained based on the following model:
[0026] Slowly varying component = K_d(t) [ΔP(t)-ΔP(t-1)] / Δt;
[0027] Where K_d(t) represents the second compensation coefficient; ΔP(t) represents the power deviation at time t; and ΔP(t-1) represents the power deviation at time t-1.
[0028] In one embodiment, the step of decomposing the smoothing compensation power according to the target object to be compensated and generating a compensation power command corresponding to the target object to be compensated includes:
[0029] Obtain the minimum and maximum allowable power of the target object to be compensated, and assign the corresponding power allocation coefficient to the target object to be compensated;
[0030] Based on the smoothing compensation power and the minimum allowable power, maximum allowable power, and power allocation coefficient of the target object to be compensated, obtain the smoothing compensation sub-power corresponding to the target object to be compensated;
[0031] Write the smoothing compensator power into the instruction to generate the compensation power instruction corresponding to the target object to be compensated.
[0032] In one embodiment, in the step of obtaining the smooth compensation sub-power corresponding to the target object to be compensated based on the smooth compensation power and the minimum allowable power, maximum allowable power, and power allocation coefficient corresponding to the target object to be compensated, the smooth compensation sub-power is obtained based on the model:
[0033] P_i_cmd(t) = α_i(t) P_com(t);
[0034] Where α_i(t) is the power allocation coefficient of the i-th target object to be compensated, satisfying: Σ(i=1→N)α_i(t)=1; P_i_cmd(t) represents the smoothing compensator sub-power; P_com(t) represents the smoothing compensation power;
[0035] P_i_min≤P_i_cmd(t)≤P_i_max;
[0036] P_i_min represents the minimum allowable power; P_i_max represents the maximum allowable power.
[0037] In one embodiment, the step further includes: configuring a priority evaluation strategy that includes state of charge, dischargeable power, user-set parameters and phase matching within the priority evaluation model;
[0038] Based on the priority assessment model, all electrical equipment in the V2G site is given priority scores.
[0039] Based on the priority scoring results, the charging devices connected to the electrical equipment that meet the conditions for participating in compensation are selected as the target objects to be compensated.
[0040] A V2G power control system for power stations includes a power station controller and charging equipment. The power station controller is communicatively connected to the charging equipment and is also communicatively connected to the power grid. The charging equipment is connected to the power grid. The power station controller includes a data acquisition module, a central control module, and a power execution module.
[0041] The data acquisition module is used to collect the operation data of the V2G station during the current control cycle or the current control period. The operation data includes electrical equipment data, station data, user setting parameters, and resident load data.
[0042] The central control module is used to obtain smoothed power based on the operating data when a power control event is triggered at a V2G station; power control events include at least power surge events and changes in the maximum power of grid regulation;
[0043] The central control module is used to obtain the power deviation based on the target power reference and the smoothed power; the target power reference is generated according to the grid dispatch instructions, the agreed power, or the station operation strategy.
[0044] The central control module is used to obtain the smooth compensation power based on the compensation coefficient, the total maximum adjustable power, and the power deviation. The compensation coefficient can be adjusted according to the magnitude and rate of change of the power deviation. The total maximum adjustable power is the sum of the maximum adjustable power of the target objects to be compensated. The target objects to be compensated are selected from all charging devices in the V2G station based on the priority evaluation model.
[0045] The central control module is used to decompose the smoothing compensation power according to the target object to be compensated and generate compensation power instructions corresponding to the target object to be compensated.
[0046] The power execution module is used to send compensation power commands to the corresponding target objects to be compensated, so as to perform power compensation on the target objects.
[0047] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described method.
[0048] One of the above technical solutions has the following advantages and beneficial effects:
[0049] The V2G power control method of this application involves the following steps: During the current control cycle or period, operational data of the V2G power station is collected; when a power control event is triggered at the V2G power station based on the operational data, smoothed power is obtained from the operational data; power deviation is obtained based on the target power benchmark and smoothed power; smoothed compensation power is obtained based on the compensation coefficient, total maximum adjustable power, and power deviation; the smoothed compensation power is decomposed according to the target object to be compensated, generating compensation power commands corresponding to the target object; and the compensation power commands are sent to the corresponding target object to be compensated for power compensation. This application adopts a control logic of "prediction—deviation calculation—adaptive compensation—rolling correction," which gradually eliminates power deviation and avoids power surges without changing the grid dispatching objectives. It departs from the traditional control methods of fixed power limiting, simple filtering, or centralized dispatching, balancing response speed, compensation accuracy, and power station benefits to achieve smooth, stable, and highly robust power control. Attached Figure Description
[0050] Figure 1 This is a flowchart illustrating the V2G station power control method in the embodiments of this application.
[0051] Figure 2 This is a flowchart illustrating the steps for obtaining smooth power in an embodiment of this application.
[0052] Figure 3 This is a flowchart illustrating the steps for obtaining compensation power in an embodiment of this application.
[0053] Figure 4 This is a flowchart illustrating the steps for obtaining the compensation power command in an embodiment of this application.
[0054] Figure 5 This is a flowchart illustrating the steps for obtaining the target object to be compensated in an embodiment of this application.
[0055] Figure 6This is a structural block diagram of the V2G power control system in an embodiment of this application.
[0056] Figure 7 This is a diagram showing the internal structure of a computer device in an embodiment of this application. Detailed Implementation
[0057] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0058] With the increasing adoption of electric vehicles and the improvement of battery system performance, the ultra-high charging power and rapid energy replenishment demands are gradually challenging the stability of the entire power grid. While current V2G (Vehicle-to-Grid) stations can alleviate some of the grid load, they suffer from the following problems:
[0059] (1) Dispatch isolation: The charging and discharging processes of charging piles and electric vehicles within V2G stations lack coordination. The charging and discharging processes are based solely on the charging / discharging needs of individual electrical devices (e.g., electric vehicles) without taking into account global information such as real-time grid load and electricity price signals, resulting in resource waste or grid impact.
[0060] (2) Response lag: The response speed to power grid dispatch instructions (such as peak shaving and valley filling, frequency regulation demand) and power surges is slow and the response degree is low. The ability to reduce power grid load is limited, there is a lack of dynamic adjustment mechanism, and the V2G interaction efficiency is low.
[0061] (3) Impact of instantaneous power changes and three-phase unbalanced load on grid stability: The ever-increasing demand for charging power, especially when the state of charge (SOC) is between 20% and 80%, results in peak charging power demand, while other SOC segments experience rapid declines, leading to drastic power changes. The impact of single-phase AC charging on different phase currents causes three-phase imbalance.
[0062] (4) When the transformer capacity is limited, it cannot meet the charging demand as much as possible: For old residential areas and substations with insufficient transformer capacity, when the residents’ load suddenly increases, it is easy to cause the transformer capacity to exceed the limit and cause safety hazards.
[0063] (5) Existing V2G stations mostly use fixed power limiting, simple filtering or centralized scheduling for control. However, the above methods are difficult to balance response speed, compensation accuracy and station benefits. Especially under the condition of large-scale vehicle concurrency, it is difficult to achieve smooth, stable and highly robust power control.
[0064] To address the aforementioned problems, in one embodiment, such as Figure 1As shown, a V2G station power control method is provided, including the following steps (in one example, the station controller performs the following steps):
[0065] Step S110: Collect the operation data of the V2G station during the current control cycle or the current control period.
[0066] Power compensation can be achieved using either rolling compensation or time-sharing compensation. Rolling compensation involves repeatedly executing the compensation process according to a pre-set cycle during charging to achieve the compensation target. Time-sharing compensation divides the charging process into several time periods, with compensation performed based on the different SOC (State of Charge) of the electrical device during each period. If rolling compensation is used, the current power compensation is completed within the current control cycle; if time-sharing compensation is used, the current power compensation is completed within the current control time period. It should be noted that the electrical device can be an electric vehicle.
[0067] During power compensation, it is necessary to collect operational data from V2G charging stations to determine whether power compensation is needed and to what extent. This operational data includes data on electrical equipment, charging station data, user settings parameters, and residential load data. Electrical equipment data includes battery charge, battery health, current charging / discharging power, maximum discharge power, charge / discharge slope limits, temperature, and the minimum energy reserved for vehicle owners. Charging station data includes instantaneous three-phase power on the AC bus, instantaneous three-phase current, total input power at the charging station access side, power of each charging device, grid power limit, and time step. User settings parameters include user-defined charging priorities, reservation status, discharge authorization, and electricity pricing strategies. Residential load data records various quantitative information related to electricity load during residential user electricity consumption, reflecting residents' power demand, consumption patterns, and characteristics.
[0068] Step S120: When a power control event is triggered at a V2G station based on the operating data, smooth power is obtained based on the operating data.
[0069] Power compensation can only be performed when a V2G power station triggers a power control event. These power control events include at least a power surge event and a change in the maximum power regulation of the grid. For example, data acquisition will collect the voltage, current, and power of the V2G power station in real time. If |P(t1) - P(t2)| > C (where P(t1) is the power of the V2G power station at time t1, P(t2) is the power of the V2G power station at time t2, and C is a constant), then a power surge event can be identified. If the current power limit imposed on the V2G power station by the grid changes from P1 to P2, and the current power consumption of the V2G power station is Puse, then |P1 - P2 - Puse| > C, and a change in the maximum power regulation of the grid can be identified.
[0070] When a power control event is triggered at a V2G power station, smoothed power is obtained based on operational data. Smoothed power refers to the stable and continuous power curve obtained by using technical means to smooth and stabilize fluctuating power output or load demand, ultimately reducing the instantaneous fluctuation amplitude of power and improving energy utilization efficiency and grid operational stability. In one example, such as... Figure 2 As shown, when determining whether a V2G station has triggered a power control event based on operational data, the steps for obtaining smoothed power based on the operational data include:
[0071] Step S210: When a power control event is triggered at the V2G station based on the operating data, the sum of the charging and discharging power of all charging devices in the operating data is calculated to obtain the current real-time power of the V2G station. It should be noted that the current real-time power of the V2G station is the sum of the charging and discharging power of all charging devices.
[0072] Specifically, at time t, the current real-time power of the V2G station is:
[0073] P_in(t) = Σ(i=1→N)P_i(t);
[0074] Wherein, P_in(t) represents the current real-time power of the station, N is the number of charging devices (e.g., charging piles) currently connected to the V2G station, and P_i(t) is the charging and discharging power of the i-th charging device, with positive values for charging and negative values for discharging.
[0075] Step S220: Perform short-term prediction or smoothing on the current real-time power of the power station to obtain smoothed power.
[0076] To suppress measurement noise and random disturbances, short-time prediction or smoothing of the current station's real-time power is performed, preferably using a first-order inertial filter model. In one example, the step of obtaining smoothed power by performing short-time prediction or smoothing of the current station's real-time power is based on the following model:
[0077] P_f(t)=P_f(t-1)+(Δt / τ) [P_in(t)-P_f(t-1)];
[0078] Where Δt represents the control period or control time interval, τ represents the smoothing time constant, and t represents time; P_f(t) represents the smoothed power at time t; P_f(t-1) represents the smoothed power at time t-1; and P_in(t) represents the real-time power of the current station. The value of τ is related to the scale of the V2G station and the number of electrical devices; the larger the scale of the V2G station, the larger the value of τ, to obtain a stronger smoothing effect.
[0079] Step S130: Obtain the power deviation based on the target power reference and the smoothed power. The target power reference is generated according to grid dispatch instructions, agreed power, or station operation strategies. For example, a grid dispatch instruction includes the target power reference. The agreed power is the maximum power agreed upon between the grid and the V2G station. The station operation strategy is the operating strategy set by the V2G station operator. For example, some station operators, for economic practicality, prefer low charging power (to save money) and high discharging power (to earn electricity revenue) when electricity prices are high; and allow high charging power and low discharging power when electricity prices are low.
[0080] To improve control stability, the power deviation is decomposed into slow-varying components and fast-varying components, with the slow-varying components used for long-term compensation and the fast-varying components used to suppress transient changes.
[0081] In one example, after obtaining the smoothed power, the power deviation between the target power reference and the smoothed power is calculated:
[0082] ΔP(t) = P_ref(t) - P_f(t);
[0083] Where ΔP(t) represents the power deviation; P_ref(t) represents the target power reference; and P_f(t) represents the smoothed power.
[0084] Step S140: Obtain the smoothed compensation power based on the compensation coefficient, the total maximum adjustable power, and the power deviation. The compensation coefficient can be adjusted according to the magnitude and rate of change of the power deviation. The total maximum adjustable power is the sum of the maximum adjustable powers of the target objects to be compensated. The target objects to be compensated are selected from all charging devices within the V2G station based on a priority evaluation model.
[0085] like Figure 3 As shown, the steps to obtain the smoothing compensation power based on the compensation coefficient, total maximum adjustable power, and power deviation include:
[0086] Step S310: Obtain the rapid change component based on the first compensation coefficient and the power deviation in the compensation coefficient. It should be noted that the compensation coefficient includes at least the first and second compensation coefficients. The first compensation coefficient is related to the available capacity of the V2G substation; a larger coefficient results in a faster response speed, but requires the V2G substation to have sufficient regulation capacity. The specific value of the first compensation coefficient is derived from the evaluation model and some empirical reference tables. The second compensation coefficient is related to the power change rate and the voltage stability at the grid connection point, calculated based on empirical tables, or can be set according to actual needs.
[0087] In one example, in the step of obtaining the fast-changing component based on the first compensation coefficient and the power deviation in the compensation coefficients, the fast-changing component is obtained based on the following model:
[0088] Rapidly variable component = K_p(t) ΔP(t);
[0089] Where K_p(t) represents the first compensation coefficient; ΔP(t) represents the power deviation at time t.
[0090] Step S320: Obtain the slow-varying component based on the second compensation coefficient and power deviation in the compensation coefficient.
[0091] In one example, the slowly varying component is obtained based on the second compensation coefficient and the power deviation in the compensation coefficient. In the step of obtaining the rapidly varying component, the slowly varying component is obtained based on the following model:
[0092] Slowly varying component = K_d(t) [ΔP(t)-ΔP(t-1)] / Δt;
[0093] Where K_d(t) represents the second compensation coefficient; ΔP(t) represents the power deviation at time t; and ΔP(t-1) represents the power deviation at time t-1.
[0094] Step S330: Calculate the sum of the fast-changing component and the slow-changing component to obtain the smooth compensation power, and the absolute value of the smooth compensation power must be less than or equal to the total maximum adjustable power. It should be noted that the smooth compensation power must also meet conditions such as being less than or equal to the upper limit of the charging and discharging power of the corresponding electrical equipment, satisfying battery safety constraints, and meeting user requirements.
[0095] For example, when using rolling compensation, the compensation power is recalculated based on the latest measurement value in each control cycle. When the power deviation is detected to enter the allowable dead zone, the compensation coefficient is gradually reduced to allow the power station to smoothly converge to the target power reference. Through the above steps, a closed-loop compensation control mechanism with power deviation as the core is formed, realizing continuous and smooth adjustment of V2G power station power.
[0096] Step S150: Decompose the smoothing compensation power according to the target object to be compensated, and generate the compensation power command corresponding to the target object to be compensated.
[0097] Decomposing the smoothing compensation power involves allocating corresponding compensation power to the target object to be compensated, then writing the corresponding compensation power into an instruction to generate a compensation power instruction, which is sent to the corresponding target object to compensate it. In one example, such as... Figure 4 As shown, the steps of decomposing the smoothing compensation power according to the target object to be compensated and generating the compensation power command corresponding to the target object include:
[0098] Step S410: Obtain the minimum and maximum allowable power corresponding to the target object to be compensated, and assign the corresponding power allocation coefficient to the target object. The power allocation coefficient is used to allocate the smoothing compensation power to each target object to be compensated. The sum of all power allocation coefficients equals 1.
[0099] Step S420: Obtain the smoothing compensator sub-power corresponding to the target object to be compensated based on the smoothing compensation power and the minimum allowable power, maximum allowable power, and power allocation coefficient corresponding to the target object to be compensated. Specifically, the smoothing compensator sub-power is greater than or equal to the minimum allowable power and less than or equal to the maximum allowable power.
[0100] In one example, in the step of obtaining the smoothing compensator sub-power corresponding to the target object to be compensated based on the smoothing compensation power and the minimum allowable power, maximum allowable power, and power allocation coefficient corresponding to the target object to be compensated, the smoothing compensator sub-power is obtained based on the model:
[0101] P_i_cmd(t) = α_i(t) P_com(t);
[0102] Where α_i(t) is the power allocation coefficient of the i-th target object to be compensated, satisfying: Σ(i=1→N)α_i(t)=1; P_i_cmd(t) represents the smoothing compensator sub-power; P_com(t) represents the smoothing compensation power;
[0103] P_i_min≤P_i_cmd(t)≤P_i_max;
[0104] P_i_min represents the minimum allowable power; P_i_max represents the maximum allowable power.
[0105] Step S430: Write the smoothing compensator power into the instruction to generate the compensation power instruction corresponding to the target object to be compensated.
[0106] After obtaining the smooth compensator sub-power through decomposition, the station controller generates a compensation power instruction for the corresponding target object to be compensated, wherein the compensation power instruction contains the corresponding smooth compensator sub-power.
[0107] Step S160: The compensation power command is sent to the corresponding target object to be compensated in order to perform power compensation on the target object.
[0108] After generating the compensation power command, the station controller sends the compensation power command to the corresponding target object to be compensated, and controls the target object to perform power compensation.
[0109] To meet the compensation power requirement in the fastest and least loss-prone way, charging equipment is prioritized. A priority list is generated based on the evaluation scenarios from high to low priority. The compensation power is then calculated sequentially according to the priority list and sent to the corresponding charging equipment to control its charging and discharging. The actual discharge power of each vehicle is then accumulated until the compensation power is met. In one example, such as… Figure 5 As shown, the V2G station power control method of this application performs priority evaluation through the following steps:
[0110] Step S510: Configure a priority evaluation strategy that includes state of charge, dischargeable power, user-set parameters, and phase matching within the priority evaluation model.
[0111] Specifically, devices with a state of charge (SOC) in the middle range (e.g., 20%–80%) are given priority to avoid damage to the batteries of electrical equipment caused by low or high SOCs. In one example, the scoring is set as follows: electrical equipment within the V2G station with a SOC between 20% and 80% is prioritized for power compensation (to minimize the impact of sudden increases in charging / discharging power on the equipment), and meeting this condition earns 20 points.
[0112] Dischargeable power is sorted from high to low, prioritizing higher-power devices to reduce response time delays when coordinating multiple devices. In one example, scoring is set as follows: if two devices are both between 20% and 80% charge, the device supporting higher charge / discharge power receives a higher score of 30 points, while the other receives 20 points.
[0113] The user-defined parameters represent the user's economic strategy, prioritizing "sacrificial" devices. Specifically, the economic strategy considers the maximum allowable charging and discharging time and revenue for different users charging at V2G stations. For example, if a user is in a hurry, the V2G station can charge a higher service fee, allowing it to prioritize other devices and grid power to replenish that device's energy within a short timeframe. Users who are not in a hurry but still participate in dispatch can have their service fees waived or receive a dispatch subsidy, allowing the V2G station to utilize their devices for peak shaving and valley filling. Users who are not in a hurry and do not participate in dispatch can have their charging service fees slightly lower, with the charging power controlled by the station controller. In one example, the scoring is set as follows: based on the user's corresponding economic strategy settings, the degree of sacrifice for the applied devices is obtained. The higher the degree of sacrifice (e.g., selectable in the app, such as 10 kWh, 20 kWh, 30 kWh, 40 kWh, or 50 kWh available for dispatch during this charge), the higher the amount of dispatchable energy, the higher the score. Assume that 50 degrees can earn 30 points, and 10 degrees can earn 5 points.
[0114] Considering phase matching, try to select devices connected to different phases of the charging equipment to discharge in order to solve the phase imbalance problem. In one example, the scoring is set as follows: mainly for single-phase AC charging equipment, different charging equipment are connected to different phases (phase A, phase B, phase C). If the power of phase C needs to be compensated, the equipment connected to phase C will score 50 points, and the equipment connected to other phases will score 0 points.
[0115] Step S520: Based on the priority evaluation model, all electrical equipment in the V2G station is given priority scores.
[0116] Step S530: Based on the priority scoring results, select the charging devices connected to the electrical equipment that meet the compensation criteria as the target objects to be compensated. The compensation criteria can be a score value; only electrical equipment with a score value greater than or equal to this score value participates in power compensation, and the corresponding connected charging devices are selected as the target objects to be compensated.
[0117] The V2G power control method of this application involves the following steps: During the current control cycle or period, operational data of the V2G power station is collected; when a power control event is triggered at the V2G power station based on the operational data, smoothed power is obtained from the operational data; power deviation is obtained based on the target power benchmark and smoothed power; smoothed compensation power is obtained based on the compensation coefficient, total maximum adjustable power, and power deviation; the smoothed compensation power is decomposed according to the target object to be compensated, generating compensation power commands corresponding to the target object; and the compensation power commands are sent to the corresponding target object to be compensated for power compensation. This application adopts a control logic of "prediction—deviation calculation—adaptive compensation—rolling correction," which gradually eliminates power deviation and avoids power surges without changing the grid dispatching objectives. It departs from the traditional control methods of fixed power limiting, simple filtering, or centralized dispatching, balancing response speed, compensation accuracy, and power station benefits to achieve smooth, stable, and highly robust power control.
[0118] Specifically, it effectively suppresses power surges and high-frequency fluctuations in V2G power stations, improving grid connection stability; it enables adaptive adjustment of power compensation, enhancing the station's tracking accuracy of grid dispatch commands; it improves the overall operating efficiency and economy of the station while ensuring user needs and battery safety; it is applicable to V2G power stations of various sizes, with good scalability and engineering application value.
[0119] It should be understood that, although Figures 1 to 5 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise explicitly stated herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figures 1 to 5 At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.
[0120] In one embodiment, such as Figure 6 As shown, a V2G power control system for power stations is provided, including a power station controller 61 and a charging device 63. The power station controller 61 is communicatively connected to the charging device 63 and is used for communication connection to the power grid. The charging device 63 is connected to the power grid. The power station controller 61 includes a data acquisition module 611, a central control module 613 and a power execution module 615.
[0121] The data acquisition module 611 is used to collect the operation data of the V2G station during the current control cycle or the current control period; the operation data includes electrical equipment data, station data, user setting parameters and resident load data;
[0122] The central control module 613 is used to obtain smoothed power based on the operating data when a power control event is triggered at a V2G power station; the power control event includes at least a power surge event and a change in the maximum power of grid regulation;
[0123] The central control module 613 is used to obtain the power deviation based on the target power reference and the smoothed power; the target power reference is generated according to the power grid dispatch instructions, the agreed power, or the station operation strategy.
[0124] The central control module 613 is used to obtain smooth compensation power based on the compensation coefficient, the total maximum adjustable power and the power deviation; the compensation coefficient can be adjusted according to the magnitude and rate of change of the power deviation; the total maximum adjustable power is the sum of the maximum adjustable power of the target objects to be compensated; the target objects to be compensated are selected from all charging equipment in the V2G station based on the priority evaluation model.
[0125] The central control module 613 is used to decompose the smoothing compensation power according to the target object to be compensated and generate the compensation power command corresponding to the target object to be compensated.
[0126] The power execution module 615 is used to send the compensation power command to the corresponding target object to be compensated, so as to perform power compensation on the target object.
[0127] In one example, the V2G power control system of this application also includes a protocol communication module 617. The protocol communication module 617 communicates bidirectionally with the virtual power plant platform based on the Internet of Things Protocol (MQTT) or TCP / IP protocol, receives load adjustment instructions issued by the virtual power plant (such as "reduce charging load by 20% during peak hours" and "increase charging load by 30% during off-peak hours"), and uploads real-time load data and adjustable capacity of the charging network.
[0128] Specific limitations regarding the V2G power control system can be found in the limitations of the V2G power control method described above, and will not be repeated here. Each module in the aforementioned V2G power control system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.
[0129] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 7 As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores operational data. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements a V2G station power control method.
[0130] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.
[0131] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:
[0132] During the current control cycle or current control period, collect operational data from V2G stations; operational data includes electrical equipment data, station data, user setting parameters, and resident load data;
[0133] When determining that a power control event is triggered at a V2G substation based on operational data, smoothed power is obtained from the operational data; power control events include at least power surge events and changes in the maximum power regulation of the grid.
[0134] The power deviation is obtained based on the target power benchmark and the smoothed power; the target power benchmark is generated based on the power grid dispatch instructions, agreed power, or station operation strategy.
[0135] The smooth compensation power is obtained based on the compensation coefficient, the total maximum adjustable power, and the power deviation; the compensation coefficient can be adjusted according to the magnitude and rate of change of the power deviation; the total maximum adjustable power is the sum of the maximum adjustable power of the target objects to be compensated; the target objects to be compensated are selected from all charging devices in the V2G station based on the priority evaluation model;
[0136] The smoothing compensation power is decomposed according to the target object to be compensated, and a compensation power instruction corresponding to the target object to be compensated is generated.
[0137] The compensation power command is sent to the corresponding target object to be compensated, so as to perform power compensation on the target object.
[0138] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:
[0139] During the current control cycle or current control period, collect operational data from V2G stations; operational data includes electrical equipment data, station data, user setting parameters, and resident load data;
[0140] When determining that a power control event is triggered at a V2G substation based on operational data, smoothed power is obtained from the operational data; power control events include at least power surge events and changes in the maximum power regulation of the grid.
[0141] The power deviation is obtained based on the target power benchmark and the smoothed power; the target power benchmark is generated based on the power grid dispatch instructions, agreed power, or station operation strategy.
[0142] The smooth compensation power is obtained based on the compensation coefficient, the total maximum adjustable power, and the power deviation; the compensation coefficient can be adjusted according to the magnitude and rate of change of the power deviation; the total maximum adjustable power is the sum of the maximum adjustable power of the target objects to be compensated; the target objects to be compensated are selected from all charging devices in the V2G station based on the priority evaluation model;
[0143] The smoothing compensation power is decomposed according to the target object to be compensated, and a compensation power instruction corresponding to the target object to be compensated is generated.
[0144] The compensation power command is sent to the corresponding target object to be compensated, so as to perform power compensation on the target object.
[0145] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
[0146] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0147] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.
Claims
1. A method for V2G station power control, the method comprising: Includes the following steps: During the current control cycle or current control period, collect operational data from V2G stations; the operational data includes electrical equipment data, station data, user setting parameters, and resident load data; When determining that the V2G station has triggered a power control event based on the operational data, smoothed power is obtained based on the operational data; the power control event includes at least a power surge event and a change in the maximum power of grid regulation. The power deviation is obtained based on the target power reference and the smoothed power; the target power reference is generated according to the power grid dispatch instructions, the agreed power, or the station operation strategy. The smooth compensation power is obtained based on the compensation coefficient, the total maximum adjustable power, and the power deviation; the compensation coefficient can be adjusted according to the magnitude and rate of change of the power deviation; the total maximum adjustable power is the sum of the maximum adjustable power of the target objects to be compensated; the target objects to be compensated are selected from all charging devices in the V2G station based on a priority evaluation model. The smoothing compensation power is decomposed according to the target object to be compensated, and a compensation power instruction corresponding to the target object to be compensated is generated; The compensation power command is sent to the corresponding target object to be compensated, so as to perform power compensation on the target object; The step of obtaining the smoothing compensation power based on the compensation coefficient, the total maximum adjustable power, and the power deviation includes: The rapid change component is obtained based on the first compensation coefficient in the compensation coefficient and the power deviation; The slow-varying component is obtained based on the second compensation coefficient in the compensation coefficient and the power deviation; Calculate the sum of the fast-changing component and the slow-changing component to obtain the smooth compensation power, and the absolute value of the smooth compensation power satisfies that it is less than or equal to the total maximum adjustable power; In the step of obtaining the rapid change component based on the first compensation coefficient in the compensation coefficient and the power deviation, the rapid change component is obtained based on the following model: said fast varying component = Kp(t) ΔP(t); Wherein, K_p(t) represents the first compensation coefficient; ΔP(t) represents the power deviation at time t; In the steps of obtaining the slow-changing component and the fast-changing component based on the second compensation coefficient in the compensation coefficient and the power deviation, the slow-changing component is obtained based on the following model: the slow varying component = K_d(t) [ΔP(t)-ΔP(t-1)] / Δt; Wherein, K_d(t) represents the second compensation coefficient; ΔP(t) represents the power deviation at time t; and ΔP(t-1) represents the power deviation at time t-1.
2. The V2G station power control method of claim 1, wherein, When determining that the V2G station has triggered a power control event based on the operational data, the step of obtaining smoothed power based on the operational data includes: When the power control event is triggered by the V2G station based on the operation data, the sum of the charging and discharging power of all charging devices in the operation data is calculated to obtain the current real-time power of the V2G station. The current real-time power of the power station is predicted or smoothed in a short time to obtain the smoothed power.
3. The V2G station power control method of claim 2, wherein, In the step of obtaining the smoothed power by performing short-time prediction or smoothing on the current real-time power of the power station, the short-time prediction or smoothing on the current real-time power of the power station is based on the following model: P_f(t) = P_f(t-1) + (At / τ) [P_in(t) - P_f(t-1)]; Wherein, Δt represents the control period or the control time interval, τ represents the smoothing time constant, and t represents the time; P_f(t) represents the smoothed power at time t; P_f(t-1) represents the smoothed power at time t-1; and P_in(t) represents the current real-time power of the station.
4. The V2G station power control method according to any one of claims 1 to 3, characterized in that, The step of decomposing the smoothing compensation power according to the target object to be compensated and generating a compensation power instruction corresponding to the target object to be compensated includes: Obtain the minimum and maximum allowable power corresponding to the target object to be compensated, and assign a corresponding power allocation coefficient to the target object to be compensated; Based on the smoothing compensation power and the minimum allowable power, maximum allowable power, and power allocation coefficient corresponding to the target object to be compensated, the smoothing compensation sub-power corresponding to the target object to be compensated is obtained; The smoothing compensator power is written into the instruction to generate the compensation power instruction corresponding to the target object to be compensated.
5. The V2G station power control method according to claim 4, characterized in that, In the step of obtaining the smooth compensation sub-power corresponding to the target object to be compensated based on the smooth compensation power and the minimum allowable power, maximum allowable power, and power allocation coefficient corresponding to the target object to be compensated, the smooth compensation sub-power is obtained based on the model: P_i_cmd(t) =α_i(t) P_com(t); Wherein, α_i(t) is the power allocation coefficient of the i-th target object to be compensated, satisfying: Σ(i=1→N)α_i(t)=1; P_i_cmd(t) represents the smoothing compensator power; P_com(t) represents the smoothing compensation power; P_i_min≤P_i_cmd(t)≤P_i_max; P_i_min represents the minimum allowable power; P_i_max represents the maximum allowable power.
6. The V2G station power control method according to any one of claims 1 to 3, characterized in that, It also includes the following steps: Within the priority evaluation model, a priority evaluation strategy is configured that includes state of charge, dischargeable power, user-defined parameters, and phase ratio. Based on the priority evaluation model, priority scores are assigned to all electrical equipment within the V2G site. Based on the priority scoring results, the charging devices connected to the electrical equipment that meet the conditions for participating in compensation are selected as the target objects to be compensated.
7. A V2G power control system for power stations, characterized in that, The system includes a station controller and charging equipment. The station controller is communicatively connected to the charging equipment and is also communicatively connected to the power grid. The charging equipment is connected to the power grid. The station controller includes a data acquisition module, a central control module, and a power execution module. The data acquisition module is used to collect the operation data of the V2G station during the current control cycle or the current control period; the operation data includes electrical equipment data, station data, user setting parameters, and resident load data; The central control module is used to obtain smoothed power based on the operating data when it is determined that the V2G station has triggered a power control event based on the operating data; the power control event includes at least a power surge event and a change in the maximum power of grid regulation. The central control module is used to obtain the power deviation based on the target power reference and the smoothed power; the target power reference is generated according to the power grid dispatch instructions, the agreed power, or the station operation strategy. The central control module is used to obtain smooth compensation power based on the compensation coefficient, the total maximum adjustable power, and the power deviation; the compensation coefficient can be adjusted according to the magnitude and rate of change of the power deviation; the total maximum adjustable power is the sum of the maximum adjustable power of the target objects to be compensated; the target objects to be compensated are selected from all charging devices in the V2G station based on a priority evaluation model. The central control module is used to decompose the smoothing compensation power according to the target object to be compensated, and generate a compensation power command corresponding to the target object to be compensated. The power execution module is used to send the compensation power command to the corresponding target object to be compensated, so as to perform power compensation on the target object to be compensated; In the step of obtaining the smoothing compensation power based on the compensation coefficient, the total maximum adjustable power, and the power deviation, the central control module is further configured to perform the following steps: The rapid change component is obtained based on the first compensation coefficient in the compensation coefficient and the power deviation; The slow-varying component is obtained based on the second compensation coefficient in the compensation coefficient and the power deviation; Calculate the sum of the fast-changing component and the slow-changing component to obtain the smooth compensation power, and the absolute value of the smooth compensation power satisfies that it is less than or equal to the total maximum adjustable power; In the step of obtaining the rapid change component based on the first compensation coefficient in the compensation coefficient and the power deviation, the central control module is further configured to obtain the rapid change component based on the following model: The rapidly varying component = K_p(t) ΔP(t); Wherein, K_p(t) represents the first compensation coefficient; ΔP(t) represents the power deviation at time t; In the steps of obtaining the slow-changing component and the fast-changing component based on the second compensation coefficient in the compensation coefficient and the power deviation, the central control module is further configured to obtain the slow-changing component based on the following model: The slowly varying component = K_d(t) [ΔP(t)-ΔP(t-1)] / Δt; Wherein, K_d(t) represents the second compensation coefficient; ΔP(t) represents the power deviation at time t; and ΔP(t-1) represents the power deviation at time t-1.
8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.
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