Charging pile regulation method and device, computer device, and storage medium

Abstract

The application relates to a charging pile regulation method and device, computer equipment and a storage medium. In each regulation period, the theoretical power interval of the charging power of the charging pile in the current regulation period is determined according to the cycle length of the regulation period and the current equipment data and the remaining charging time length corresponding to the charging pile, the power demand of the equipment corresponding to the charging pile is fully considered, and the actual charging power of the charging pile in the current regulation period is selected from the theoretical power interval corresponding to the charging pile, so that the charging power of the charging pile is regulated under the premise of meeting the power interval constraints of all charging piles, and the power demand of the equipment corresponding to the charging pile is met.

Description

Technical Field

[0001] This application relates to the field of charging pile control technology, and in particular to a charging pile control method, device, computer equipment and storage medium. Background Technology

[0002] With the rapid popularization of new energy vehicles, charging piles, as an important energy supply facility, have seen a significant increase in penetration within distribution substations. Among them, the proportion of AC slow charging piles for residential users has been rising year by year, becoming an important load type in distribution substations and posing a serious challenge to the safe and economical operation of the distribution network.

[0003] In traditional technologies, the control methods for charging piles usually consider the interests of the power grid, which may result in the inability to meet the power demand of the equipment corresponding to the charging piles. Summary of the Invention

[0004] Therefore, it is necessary to provide a charging pile control method, device, computer equipment, and storage medium to address the above-mentioned technical problems, which can meet the power consumption needs of the corresponding electrical equipment of the charging pile.

[0005] Firstly, this application provides a method for regulating a charging pile, including:

[0006] In response to entering each control cycle, the theoretical power range of the charging power of each charging pile in the distribution area within the current control cycle is obtained; wherein, the theoretical power range of the charging power of the charging pile within the current control cycle is determined by the charging pile based on the cycle length of the control cycle, as well as the current equipment data and remaining charging time corresponding to the charging pile.

[0007] For each of the aforementioned charging piles, the actual charging power of the charging pile within the current control cycle is selected from the theoretical power range corresponding to the charging pile; and,

[0008] The charging pile is controlled to charge the applied electrical equipment according to the actual charging power.

[0009] In one embodiment, selecting the actual charging power of each charging pile within the current control cycle from the theoretical power range corresponding to the charging pile includes:

[0010] The objective function is minimized, and the theoretical power range of each charging pile in the current control period is used as a constraint. The objective function is solved to obtain the actual charging power of each charging pile in the current control period.

[0011] The objective function is used to measure at least the power supply unreliability of the distribution radio station area.

[0012] In one embodiment, the objective function includes at least one of the following:

[0013] Three-phase unbalance function; wherein, the three-phase unbalance function is used to measure the degree of three-phase voltage imbalance at a preset node of the distribution substation;

[0014] Total line loss function; wherein, the total line loss function is used to measure the total active power loss of all phase lines and neutral lines in the distribution area;

[0015] Charging capacity function; wherein, the charging capacity function is used to measure the degree of closeness between the actual state of charge of the electrical equipment corresponding to each charging pile and the target state of charge after the end of the current control cycle.

[0016] A stable operation function; wherein the stable operation function is used to measure the degree to which the charging time of the electrical equipment corresponding to each charging pile continuously charging at high power exceeds the corresponding preset power threshold, wherein high power is the power exceeding the corresponding preset power.

[0017] In one embodiment, solving the objective function with the goal of minimizing its value and constrained by the theoretical power range of each charging pile's charging power within the current control cycle includes:

[0018] For each charging pile, the intersection of the theoretical power range of the charging pile in the current control cycle and the actual power range of the charging pile is determined to obtain the target power range corresponding to the charging pile.

[0019] The objective function is solved with the goal of minimizing its value and with the target power range corresponding to each charging pile as a constraint.

[0020] In one embodiment, the step of minimizing the function value of the objective function and constraining the theoretical power range of each charging pile within the current control period to solve the objective function to obtain the actual charging power of each charging pile within the current control period includes:

[0021] For each iteration round, based on the theoretical power range of each charging pile's charging power within the current control cycle, each actual set of the previous iteration round is adjusted to obtain the corresponding initial set of the current iteration round; wherein, each actual set of the previous iteration round includes the actual charging power of each charging pile determined in the previous iteration round, and each initial set of the current iteration round includes the initial charging power of each charging pile in the current iteration round.

[0022] For each initial set in the current iteration round, the current function value of the objective function is determined based on the initial charging power of each charging pile in the current iteration round within the initial set.

[0023] Based on each initial set of the current iteration and the corresponding current function value, determine each actual set of the current iteration;

[0024] If the iteration stopping condition is met, the actual charging power of each charging pile in the current control cycle is determined based on each actual set of the last iteration round.

[0025] In one embodiment, adjusting each actual set from the previous iteration based on the theoretical power range of each charging pile's charging power within the current control cycle to obtain the corresponding initial set for the current iteration includes:

[0026] For each actual set in the previous iteration round, the actual charging power of the first charging pile in the actual set is adjusted to the first charging power, and the actual charging power of the second charging pile in the actual set is adjusted to the second charging power, so as to obtain the initial set corresponding to the actual set in the current iteration round.

[0027] Wherein, the actual charging power of the first charging pile determined in the previous iteration is less than the lower limit of the theoretical power range of the first charging pile in the current control cycle; the actual charging power of the second charging pile determined in the previous iteration is greater than the upper limit of the theoretical power range of the first charging pile in the current control cycle.

[0028] The first charging power is the sum of the theoretical lower limit of the theoretical power range of the charging power of the first charging pile in the current control cycle and the first product. The first product is the product of the first difference and the first control coefficient. The first difference is the difference between the theoretical lower limit of the theoretical power range of the charging power of the first charging pile in the current control cycle and the actual charging power of the first charging pile determined in the previous iteration.

[0029] The second charging power is the difference between the theoretical upper limit of the theoretical power range of the charging power of the second charging pile in the current control cycle and the second product. The second product is the difference between the actual charging power of the second charging pile determined in the previous iteration and the theoretical upper limit of the theoretical power range of the charging power in the current control cycle, multiplied by the control coefficient.

[0030] Secondly, this application also provides a charging pile control device, comprising:

[0031] The acquisition module is used to acquire, in response to entering each control cycle, the theoretical power range of the charging power of each charging pile in the distribution area within the current control cycle; wherein, the theoretical power range of the charging power of the charging pile within the current control cycle is determined by the charging pile based on the cycle length of the control cycle, as well as the current device data and remaining charging time corresponding to the charging pile.

[0032] The selection module is configured to, for each charging pile, select the actual charging power of the charging pile within the current control cycle from the theoretical power range corresponding to the charging pile; and,

[0033] The charging module is used to control the charging pile to charge the applied electrical equipment according to the actual charging power.

[0034] Thirdly, this application also provides a computer device, 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:

[0035] In response to entering each control cycle, the theoretical power range of the charging power of each charging pile in the distribution area within the current control cycle is obtained; wherein, the theoretical power range of the charging power of the charging pile within the current control cycle is determined by the charging pile based on the cycle length of the control cycle, as well as the current equipment data and remaining charging time corresponding to the charging pile.

[0036] For each of the aforementioned charging piles, the actual charging power of the charging pile within the current control cycle is selected from the theoretical power range corresponding to the charging pile; and,

[0037] The charging pile is controlled to charge the applied electrical equipment according to the actual charging power.

[0038] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0039] In response to entering each control cycle, the theoretical power range of the charging power of each charging pile in the distribution area within the current control cycle is obtained; wherein, the theoretical power range of the charging power of the charging pile within the current control cycle is determined by the charging pile based on the cycle length of the control cycle, as well as the current equipment data and remaining charging time corresponding to the charging pile.

[0040] For each of the aforementioned charging piles, the actual charging power of the charging pile within the current control cycle is selected from the theoretical power range corresponding to the charging pile; and,

[0041] The charging pile is controlled to charge the applied electrical equipment according to the actual charging power.

[0042] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0043] In response to entering each control cycle, the theoretical power range of the charging power of each charging pile in the distribution area within the current control cycle is obtained; wherein, the theoretical power range of the charging power of the charging pile within the current control cycle is determined by the charging pile based on the cycle length of the control cycle, as well as the current equipment data and remaining charging time corresponding to the charging pile.

[0044] For each of the aforementioned charging piles, the actual charging power of the charging pile within the current control cycle is selected from the theoretical power range corresponding to the charging pile; and,

[0045] The charging pile is controlled to charge the applied electrical equipment according to the actual charging power.

[0046] The aforementioned charging pile control method, device, computer equipment, and storage medium, by determining the theoretical power range of the charging pile within each control cycle based on the cycle length, the current equipment data corresponding to the charging pile, and the remaining charging time, fully considers the power demand of the equipment corresponding to the charging pile. Furthermore, by selecting the actual charging power of the charging pile within the theoretical power range of the charging pile within the current control cycle, the method achieves the goal of controlling the charging power of the charging pile to meet the power demand of the equipment corresponding to the charging pile, while satisfying all charging pile power range constraints. Attached Figure Description

[0047] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 This is a diagram illustrating the application environment of a charging pile control method in one embodiment.

[0049] Figure 2This is a flowchart illustrating a charging pile control method in one embodiment;

[0050] Figure 3 This is a schematic diagram illustrating the changes in battery voltage and current during charging in one embodiment.

[0051] Figure 4 This is a flowchart illustrating the process of solving the objective function in one embodiment;

[0052] Figure 5 This is a flowchart illustrating the charging pile control method in another embodiment;

[0053] Figure 6 This is a structural block diagram of a charging pile control device in one embodiment;

[0054] Figure 7 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0055] 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.

[0056] The charging pile control method provided in this application embodiment can be applied to, for example, Figure 1 In the application environment shown, N charging piles belonging to the same distribution substation each complete their local adjustable margin calculations according to a unified control cycle, and report the margin data to the control center. The control center summarizes the margin information of all charging piles and performs global optimization to generate the optimal scheduling command. The command is then sent to each charging pile, which executes the corresponding power adjustment task to complete the charging of the application equipment by each charging pile while ensuring the power quality of the distribution substation.

[0057] The control center can be deployed at a terminal or on a server. Terminals can be, but are not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart in-vehicle systems, and projection devices. Portable wearable devices can include smartwatches, smart bracelets, and head-mounted displays. Head-mounted displays can be virtual reality (VR) devices, augmented reality (AR) devices, and smart glasses. Servers can be standalone physical servers, server clusters or distributed systems composed of multiple physical servers, or cloud servers providing cloud computing services.

[0058] In one exemplary embodiment, such as Figure 2 As shown, a charging pile control method is provided. Taking the application of this method in a dispatch center as an example, the method includes the following steps:

[0059] S201, in response to entering each control cycle, obtains the theoretical power range of the charging power transmitted by each charging pile in the distribution radio area within the current control cycle.

[0060] The theoretical power range of the charging pile within the current control cycle is determined by the charging pile based on the cycle length of the control cycle, as well as the current equipment data and remaining charging time corresponding to the charging pile.

[0061] A distribution transformer area refers to a low-voltage distribution network area powered by a single distribution transformer.

[0062] Charging stations are dedicated devices that provide electrical energy to electric vehicles, such as single-phase AC slow charging stations (on-board chargers) for home users.

[0063] Electrical equipment refers to equipment that needs to be charged through charging stations, such as the power battery system of electric vehicles.

[0064] The adjustment cycle is the pre-set cycle for updating the charging power of the charging pile.

[0065] Current equipment data refers to the operating status parameters of the charging pile and the applied electrical equipment at the current moment, including battery state of charge, charging efficiency, rated power, etc.

[0066] Remaining charging time refers to the length of time remaining until the user-set charging completion time.

[0067] For example, in practical applications, all charging piles within a distribution substation can establish a connection with the control center via power line carrier communication or wireless communication networks. All charging pile equipment participating in coordinated control must report its geographical location in the distribution network topology, three-phase sequence assignment, and key equipment parameters such as rated power and charging efficiency before the start of control, laying the foundation for achieving precise control.

[0068] When the system clock reaches the preset start time of the control cycle, the control center sends a data theoretical power range acquisition command to all online and charging piles within the distribution area. Upon receiving the command, each charging pile immediately collects real-time operating data such as the current state of charge (SOC), current charging current, and current charging voltage of the connected electric vehicle's power battery. Combined with locally stored parameters such as battery capacity, charging efficiency coefficient, and user-preset charging completion time, the control cycle duration is determined, along with the charging pile's current equipment data and remaining charging time. Based on the control cycle duration, the charging pile's current equipment data, and remaining charging time, the theoretical power range of the charging pile within the current control cycle is determined, and the charging pile then transmits this theoretical power range to the control center.

[0069] The theoretical power range refers to the range of charging power that a charging pile can operate within the current regulation cycle, under the premise of meeting user charging needs and equipment operating constraints. It consists of the upper limit and lower limit of the theoretical power.

[0070] The purpose of regulating the charging power of charging piles is to determine a reasonable power adjustment range for each charging pile. This range must ensure that the charging task is completed within the time set by the user, while also conforming to the operating characteristics of the equipment itself.

[0071] The theoretical power range can be determined based on a mathematical model of the electric vehicle charging process. The energy conversion relationship during the charging process of an electric vehicle charging station is that, under constant power charging, the state of charge exhibits an approximately linear increase. For electric vehicles connected to the grid, their primary need is charging; their discharge function to the grid is not considered in non-extreme cases. Therefore, the mathematical model expression for the electric vehicle charging process is as follows:

[0072]

[0073] in, and These represent the battery state of charge at the current time t and the previous time t-1, respectively. The charging power (kW) of the charging pile corresponding to the electric vehicle is limited by the rated output power of the charging pile and the rated input power of the on-board charger, and the smaller of the two values ​​is taken. For the battery capacity (kWh) of electric vehicles, The charging efficiency coefficient for electric vehicles is a comprehensive value that includes the power electronic conversion losses within the charging station and the charging and discharging losses of the electric vehicle's battery. The duration of the regulation cycle.

[0074] Each charging station can calculate its theoretical upper and lower power limits within the current control period based on its current equipment data, remaining charging time, and the known control period duration. These limits are then transmitted wirelessly to the dispatch center.

[0075] The theoretical power upper limit refers to the maximum power that the charging pile can operate at during the current control cycle, provided that it does not exceed the rated power of the equipment and will not cause the battery to be overcharged. The theoretical power lower limit refers to the minimum power that the charging pile must operate at during the current control cycle in order to ensure that the charging task can be completed within the remaining charging time.

[0076] By calculating these two values, the theoretical power range of each charging station can be obtained. This transforms the user's charging needs into specific power constraints, enabling subsequent optimization decisions to be made while meeting the user's basic needs.

[0077] S202: For each charging pile, select the actual charging power of the charging pile within the current control cycle from the theoretical power range corresponding to the charging pile.

[0078] Actual charging power refers to the charging power value that the control center ultimately determines and issues to the charging pile for execution.

[0079] For each charging pile, the actual charging power of the charging pile in the current control cycle is selected from the theoretical power range corresponding to the charging pile. The purpose is to select an actual charging power value from the theoretical power range of each charging pile while satisfying the power range constraints of all charging piles.

[0080] For example, for each charging pile, a theoretical power can be randomly selected from the theoretical power range corresponding to the charging pile as the actual charging power of the charging pile in the current control period; or an optimization target can be set, and an optimization algorithm can be used to select the actual charging power of the charging pile in the current control period from the theoretical power range corresponding to the charging pile, so as to make the preset optimization target reach the optimal.

[0081] S203 controls the charging pile to charge the corresponding electrical equipment according to the actual charging power.

[0082] The control center can package the actual charging power value of each charging pile into a control command and send it to the corresponding charging pile through the communication network. After receiving the command, each charging pile immediately adjusts its output power to be equal to the actual charging power specified in the command, so that the charging pile charges the corresponding electrical equipment according to the actual charging power.

[0083] In the above embodiments, by determining the theoretical power range of the charging pile in each control cycle based on the cycle length, the current equipment data and remaining charging time corresponding to the charging pile, the power demand of the charging pile corresponding to the charging pile is fully considered. The actual charging power of the charging pile in the current control cycle is selected from the theoretical power range corresponding to the charging pile. This achieves the goal of controlling the charging power of the charging pile to meet the power demand of the charging pile corresponding to the charging pile while satisfying all charging pile power range constraints.

[0084] In some optional implementations, determining the theoretical power range of the charging pile within the current control period can be done by, for each charging pile, determining the theoretical upper limit of the charging power within the current control period based on the cycle length of the control period and the current equipment data corresponding to the charging pile; and determining the theoretical lower limit of the charging power within the current control period based on the cycle length, the current equipment data corresponding to the charging pile, and the remaining charging time.

[0085] For example, the data model for electric vehicles can be rewritten as follows:

[0086]

[0087] At the end of the current regulation cycle, the state of charge (SOC) should be less than or equal to 1. Therefore, the theoretical upper limit of the charging power of the charging pile during the current regulation cycle is expressed as follows:

[0088]

[0089] in, This represents the theoretical upper limit of the charging power of charging pile i within the current control cycle. Let i be the rated charging power of the i-th charging pile. Let be the battery capacity of the equipment used by the i-th charging pile. Let be the charging efficiency coefficient of the i-th charging pile for the applied electrical equipment.

[0090] For example, the determination of the theoretical power upper limit mainly considers two constraints: the rated power constraint of the charging pile itself and the overcharge protection constraint of the battery. The rated power of the charging pile is the maximum output power set at the factory. Exceeding this power will cause the equipment to operate under overload, damaging the equipment components. Therefore, the theoretical power upper limit cannot exceed the rated power of the charging pile. The battery overcharge protection constraint means that at the end of the current control cycle, the battery's state of charge cannot exceed 100%. Otherwise, it will lead to battery overcharging, affecting the battery's lifespan and safety.

[0091] Therefore, the charging pile can calculate the maximum allowable charging power to ensure that the battery state of charge does not exceed 100% at the end of the current control cycle based on the battery state of charge, battery capacity, charging efficiency coefficient and control cycle duration at the beginning of the current control cycle.

[0092] Then, this calculated value is compared with the rated power of the charging pile, and the smaller value is taken as the theoretical power ceiling for that charging pile within the current regulation cycle. In this way, both the capacity limitations of the charging pile itself and the safety protection requirements of the battery are taken into account, ensuring the rationality and safety of the theoretical power ceiling.

[0093] For example, suppose the time difference between the current control command being issued and the user-set charging completion time is... The calculation method for the theoretical lower limit of charging power of charging piles within the current regulation cycle is as follows: Within this period, the State of Charge (SOC) value should reach 1. If, after the current control cycle ends, The remaining cycles within are all in If the SOC reaches 1 precisely at the user-set time during charging, the current control cycle can be calculated. Therefore, we can conclude that:

[0094]

[0095] The determination of the theoretical power lower limit is primarily based on the user's charging demand constraint, namely, the battery must be charged to the user-defined target state of charge (usually 100%) within the user-set charging completion time. To calculate the theoretical power lower limit, a reverse derivation method can be used. For example, assuming that the charging station charges at its rated power for all remaining control cycles from the end of the current control cycle to the user-defined charging completion time, the maximum energy that can be charged into the battery during these remaining cycles can be calculated. Then, subtracting the current battery energy from the user-defined target energy, and then subtracting the maximum energy that can be charged in the remaining cycles, yields the minimum energy that must be charged within the current control cycle.

[0096] Finally, based on this minimum energy, charging efficiency coefficient, and control cycle duration, the minimum charging power that must be operated within the current control cycle can be calculated, i.e., the theoretical power lower limit.

[0097] If the calculated theoretical power lower limit is less than 0, it means that even if charging is not performed in the current control cycle, the charging task can be completed by charging at the rated power in subsequent cycles. In this case, the theoretical power lower limit is 0.

[0098] This ensures that no matter what charging power is selected during the current control cycle, as long as it is not lower than the theoretical power lower limit, the charging task can be completed within the time set by the user, thus fully guaranteeing the user's charging needs.

[0099] In some optional implementations, when selecting the actual charging power of a charging pile within the current control period from the theoretical power range corresponding to the charging pile, the objective function can be minimized, and the theoretical power range of the charging power of each charging pile within the current control period can be used as a constraint to solve the objective function, thereby obtaining the actual charging power of each charging pile within the current control period; wherein, the objective function is at least used to measure the power supply unreliability of the distribution substation.

[0100] The objective function refers to the mathematical function used to measure the quality of a control scheme; the smaller the function value, the better the control scheme. Power supply unreliability refers to the degree to which a distribution substation cannot provide users with safe, high-quality, and continuous power supply, mainly manifested as three-phase imbalance, voltage exceeding limits, and excessive line losses.

[0101] For example, firstly, the control center needs to construct a corresponding objective function based on the actual operation of the distribution substation and the control objectives. The objective function measures the power supply unreliability of the distribution substation, including indicators such as three-phase imbalance and network line loss, while also considering user charging needs and equipment operational safety. Then, the theoretical power range of all charging piles is added as a constraint to the optimization model; that is, the actual charging power of each charging pile must be greater than or equal to its theoretical lower limit and less than or equal to its theoretical upper limit.

[0102] For example, an optimization algorithm can be selected to solve the optimization model. Since the optimization model in this embodiment is a multi-objective, multi-constraint, high-dimensional nonlinear optimization problem, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) can be used to solve it.

[0103] NSGA-II is a classic multi-objective evolutionary algorithm that efficiently finds a Pareto optimal solution set with good convergence and uniform distribution by introducing a fast non-dominated sorting mechanism and a crowding comparison operator. After the solution is obtained, the control center selects a final optimal solution from the Pareto optimal solution set. This optimal solution contains the actual charging power of each charging pile in the current control cycle.

[0104] In the above embodiments, an optimization solution method aimed at minimizing power supply unreliability is adopted. The power quality index of the distribution substation is used as the optimization objective, and the theoretical power range of each charging pile is used as the constraint condition. Under the premise of meeting the user's charging needs and equipment operation constraints, the power quality of the distribution substation can be improved to the maximum extent, effectively solving the problem that traditional control methods are economic-oriented and neglect power quality.

[0105] In some alternative implementations, the objective function includes at least one of the following: a three-phase imbalance function, a total line loss function, a charging capacity function, and a stable operation function.

[0106] The three-phase unbalance function is used to measure the degree of three-phase voltage imbalance at preset nodes in a distribution substation. The expression is as follows:

[0107]

[0108] This is a function of three-phase unbalance. For the nodes of the distribution radio area Three-phase voltage imbalance. According to IEEE standard 112-1991, the three-phase voltage imbalance at a node is defined as follows:

[0109]

[0110] in, , as well as These represent the nodes through which the flow passes. RMS value of three-phase current The mean is expressed as:

[0111]

[0112] The total line loss function measures the total active power loss of all phase lines and neutral lines in a distribution substation. Its expression is as follows:

[0113]

[0114] in, This is the total line loss function. The number of distribution network branches, This represents the active power loss (including neutral line loss) of the kth branch in the distribution network during the current control cycle.

[0115] The charging capacity function measures how close the actual state of charge (SOC) of the electrical equipment corresponding to each charging pile is to the target SOC after the current control cycle ends. The expression for the charging capacity function for each charging pile is as follows:

[0116]

[0117] in, Let i be the charging capacity function corresponding to the i-th charging pile. The charging completion and state of charge of the i-th charging pile set by the user. This represents the state of charge of the i-th charging pile after the end of the previous control cycle.

[0118] The stable operation function is used to measure the extent to which the charging time of the electrical equipment corresponding to each charging pile exceeds the corresponding preset power threshold when it is continuously charged at high power. Here, high power is the power that exceeds the corresponding preset power.

[0119] The charging process of home AC slow charging stations conforms to the inherent charging characteristics of lithium batteries. Currently, common lithium battery charging methods mainly include four categories: constant current charging, constant voltage charging, constant current-constant voltage charging, and multi-stage constant current charging, with constant current-constant voltage charging being the most widely used. The changes in battery voltage and current during this charging process are as follows: Figure 3 As shown, it can be divided into the following four stages:

[0120] Phase 1: Trickle charging. Used to pre-charge a fully discharged battery to restore its basic charging capacity;

[0121] Phase Two: Constant Current Charging. Once the battery voltage rises above the trickle charging threshold, the system performs constant current charging with a larger current.

[0122] Phase 3: Constant voltage charging. When the battery voltage reaches the set upper limit, it switches to constant voltage charging. The current gradually decreases as the battery approaches saturation until it falls below the set threshold.

[0123] Phase Four: Charging Termination. The termination of charging is typically determined based on a minimum current criterion, a timer, or a combination of these conditions.

[0124] During the constant current charging phase, as the battery's state of charge increases, internal polarization intensifies, causing the actual battery voltage to exceed its theoretical value. Continuing to apply constant current may cause the battery voltage to exceed safety limits, leading to irreversible damage. Furthermore, as the battery approaches full charge, its internal resistance gradually increases. If constant current charging is maintained, according to Ohm's law, the terminal voltage will further rise, resulting in decreased charging efficiency. Therefore, switching to constant voltage charging after the constant current phase gradually reduces the current, alleviates the polarization effect, and improves overall charging efficiency and safety.

[0125] To simplify modeling and achieve continuous controllability of charging power, the mathematical model of the electric vehicle charging process assumes an ideal constant current mode and ignores minor voltage rises. However, in actual charging, voltage fluctuates to some extent. Based on the aforementioned lithium battery charging mechanism, to ensure the equipment operates in a healthy and efficient state, charging piles should avoid prolonged high-power constant current charging to mitigate polarization effects and reduce equipment losses, thereby constructing a healthy operating target for charging piles that conforms to actual operating characteristics. The stable operation function expression of the charging pile is as follows:

[0126]

[0127] in, This indicates the duration during which the charging power has been continuously higher than the set protection threshold before the current moment. This is the continuous high-power charging time threshold, which can be set empirically to 70% of the time required for a battery to be fully charged using constant current-constant voltage (CC-CV) charging. When continuous high-power charging occurs... A value greater than 0 causes the optimization algorithm to tend to reduce the charging power in the current cycle in order to avoid damage to the battery and a decrease in charging efficiency.

[0128] In the above embodiments, the objective function may include a three-phase imbalance function, a total line loss function, a charging capacity function, and a stable operation function. These functions can be optimized from four dimensions: power grid power quality, system operating efficiency, user charging experience, and equipment operating safety. This can achieve a balance of interests among multiple parties, enabling the control strategy to improve the power grid operating status while taking into account user needs and equipment health, thereby improving the overall benefits and practical feasibility of the control scheme.

[0129] In some alternative implementations, during the process of solving the objective function, the theoretical power range of the charging power of the charging pile in the current control cycle can be corrected, and the corrected theoretical power range of each charging pile can be used as a constraint.

[0130] For example, for each charging pile, the intersection of the theoretical power range of the charging pile in the current control cycle and the actual power range of the charging pile can be determined to obtain the target power range corresponding to the charging pile.

[0131] For example, based on the international standard IEC61851-1 (or SAE J1772), under the premise of ensuring the normal operation of the charging handshake and internal components, the duty cycle of the charging pile control guidance signal must not be less than 10%, that is, the minimum operating current of the on-board charger must not be less than 6A; otherwise, the on-board charger will consider the signal as an invalid command. In practical applications, the theoretical minimum charging power of the charging pile... It can be set to the rated charging power of the charging pile. 20%.

[0132] For any rated power of For a charging pile, its actual charging power P(t) within a control cycle must satisfy the discretized constraint condition: Therefore, the theoretical power range of the charging pile's charging power within the current regulation cycle should be verified. Then the charging pile should be included in the next regulation cycle. Charge. If Therefore, the theoretical power lower limit should be revised to After completing the calculations and verification, the target power range for the charging pile equipment was determined to be the corrected range. .

[0133] The objective function is then solved with the goal of minimizing its value and with the target power range corresponding to each charging pile as a constraint.

[0134] In the above embodiments, before optimization, the intersection of the theoretical power range and the actual power range of the charging pile is first taken to obtain the target power range, and the target power range is used as a constraint condition for the solution. Therefore, it can be ensured that the final actual charging power is the power that the charging pile can output in actual operation, avoiding the occurrence of unexecutable control commands and improving the reliability and stability of the control system.

[0135] In some alternative implementations, see [link to relevant documentation]. Figure 4 , Figure 4 A flowchart illustrating the process of solving the objective function is provided, which includes the following steps:

[0136] S401, for each iteration round, based on the theoretical power range of each charging pile in the current control cycle, adjust each actual set of the previous iteration round to obtain the corresponding initial set of the current iteration round.

[0137] In this context, each actual set in the previous iteration round includes the actual charging power of each charging pile determined in the previous iteration round, and each initial set in the current iteration round includes the initial charging power of each charging pile in the current iteration round.

[0138] An iteration round refers to the process that an optimization algorithm goes through to complete one population update. The population can be understood as the initial set corresponding to each iteration round.

[0139] The actual set refers to the set of excellent individuals obtained after the selection operation in the previous iteration round. Each individual contains the actual charging power of all charging piles. The set of excellent individuals obtained after the selection operation in the previous iteration round corresponding to the first iteration round is regarded as the initial value 0.

[0140] The initial set refers to the set of individuals at the start of the current iteration round, which is obtained by adjusting the actual set of the previous iteration round.

[0141] For example, in the NSGA-II algorithm, each generation of the population is generated from the previous generation through selection, crossover, and mutation operations. However, after crossover and mutation, some individuals may violate the constraints, meaning that the charging power of some charging stations exceeds their theoretical power range. To ensure that all individuals meet the constraints, these individuals that violate the constraints need to be adjusted. For example, at the beginning of each iteration, each individual in the actual set obtained in the previous iteration can be checked, and for those that violate the constraints, they can be adjusted to the feasible region according to certain rules, thus obtaining the initial set for the current iteration.

[0142] One adjustment method is the boundary mirroring method, which effectively maps individuals violating constraints into the feasible region while maintaining population diversity. By adjusting individuals, it ensures that the optimization algorithm always searches within the feasible region, improving the convergence speed and solution quality.

[0143] S402, for each initial set in the current iteration round, determine the current function value of the objective function based on the initial charging power of each charging pile in the current iteration round in the initial set.

[0144] After obtaining the initial set for the current iteration round, the objective function value needs to be calculated for each individual in the set. The objective function value is the standard for measuring the quality of an individual; the smaller the function value, the better the individual. For each individual, that is, each possible charging power allocation scheme, the control center calculates the function value corresponding to each function in the objective function according to the definition of the objective function, and then calculates the total objective function value according to the weighting coefficients.

[0145] S403, determine each actual set of the current iteration based on each initial set of the current iteration and the corresponding current function value.

[0146] After calculating the objective function values ​​for all individuals, a selection operation is required to choose the best individuals from the initial set of the current iteration round to form the actual set of the current iteration round.

[0147] The NSGA-II algorithm employs a tournament selection method based on crowding. For example, it first performs a fast non-dominated sort on all individuals in the initial set, assigning them to different non-dominated levels, with individuals at lower levels being considered more competitive. Then, for individuals within the same non-dominated level, their crowding is calculated; higher crowding indicates a sparser region, which is more conducive to maintaining population diversity. Finally, a tournament selection process is used to select the best individuals from the initial set to form the actual set.

[0148] The tournament selection process involves randomly selecting j individuals from the initial set, then choosing the individual with the lowest non-dominated level and the highest crowding density from among them, and adding it to the actual set. This process is repeated until the size of the actual set reaches the preset population size, resulting in the actual set for each iteration round. This selection operation preserves superior individuals while eliminating inferior ones, allowing the population to continuously evolve towards better outcomes.

[0149] S404, if the iteration stopping condition is met, determine the actual charging power of each charging pile in the current control cycle based on each actual set of the last iteration round.

[0150] Iteration stopping conditions refer to the conditions used to determine whether an optimization algorithm should terminate. These typically include reaching the maximum number of iterations or the objective function value converging.

[0151] The optimization algorithm iterates continuously until the iteration stopping condition is met. Common iteration stopping conditions include reaching a preset maximum number of iterations, the change in the objective function value being less than a preset threshold, and no better individuals being produced for several consecutive generations.

[0152] When the iteration stopping condition is met, the algorithm terminates. At this point, the actual set of the last iteration round is the Pareto optimal solution set found by the algorithm. Then, the control center can select a final optimal solution from this solution set according to preset decision criteria. This optimal solution contains the actual charging power of each charging pile in the current control cycle.

[0153] If the iteration stopping condition is not met, the next iteration continues.

[0154] The above embodiments employ an iterative optimization method. By continuously adjusting, evaluating, and selecting individuals, the population gradually evolves towards a better direction, thus finding the globally optimal control scheme rather than a locally optimal solution. Simultaneously, by setting reasonable iteration stopping conditions, the algorithm's solution time can be controlled while ensuring solution accuracy, meeting the requirements of real-time control.

[0155] In some alternative implementations, adjustments can be made to each actual set in the previous iteration. For each actual set in the previous iteration, the actual charging power of the first charging pile in the actual set can be adjusted to the first charging power, and the actual charging power of the second charging pile in the actual set can be adjusted to the second charging power, thus obtaining the initial set corresponding to the actual set in the current iteration.

[0156] Among them, the actual charging power of the first charging pile determined in the previous iteration is less than the lower limit of the theoretical power range of the first charging pile in the current control cycle; the actual charging power of the second charging pile determined in the previous iteration is greater than the upper limit of the theoretical power range of the first charging pile in the current control cycle.

[0157] The first charging power is the sum of the theoretical lower limit of the theoretical power range of the charging power of the first charging pile in the current control cycle and the first product. The first product is the product of the first difference and the first control coefficient. The first difference is the difference between the theoretical lower limit of the theoretical power range of the charging power of the first charging pile in the current control cycle and the actual charging power of the first charging pile determined in the previous iteration.

[0158] The second charging power is the difference between the theoretical upper limit of the theoretical power range of the charging power of the second charging pile in the current control cycle and the second product. The second product is the difference between the actual charging power of the second charging pile determined in the previous iteration and the theoretical upper limit of the theoretical power range of the charging power in the current control cycle, multiplied by the control coefficient.

[0159] For example, the boundary mirroring method can be used to adjust individuals that violate constraints, and the adjustment expression is as follows:

[0160]

[0161] in, The left side shows the initial charging power value of the nth charging pile in the (x+1)th iteration. The right side shows the actual charging power value of the nth charging pile in the xth iteration. Let be the theoretical lower limit of the power of the nth charging pile in the (x+1)th iteration. Let be the theoretical power ceiling value of the nth charging pile in the (x+1)th iteration. , is a decay coefficient. I is an exponential function, taking the value 1 if the condition is met, and 0 otherwise.

[0162] The process of adjusting individuals violating constraints using the boundary mirroring method is as follows: For each individual in the actual set of the previous iteration, the charging power of each charging pile can be checked one by one to see if it is within its theoretical power range. If the charging power of a charging pile is less than its theoretical power lower limit, then the charging pile is designated as the first charging pile, and its charging power needs to be adjusted to the first charging power. The formula for calculating the first charging power is: First charging power = Theoretical power lower limit + First difference × Adjustment coefficient, where the first difference = Theoretical power lower limit - Actual charging power of the previous iteration.

[0163] If the charging power of a charging station exceeds its theoretical maximum power, then that charging station is designated as a secondary charging station, and its charging power needs to be adjusted to the secondary charging power. The formula for calculating the secondary charging power is: Secondary charging power = Theoretical maximum power - Second difference × Adjustment coefficient, where the second difference = Actual charging power in the previous iteration - Theoretical maximum power. The adjustment coefficient λ is a decay coefficient between 0 and 1, typically taken as 0.5.

[0164] The advantage of using the boundary mirroring method for adjustment is that it maps individuals that violate constraints to the feasible region while preserving their relative positions, thus maintaining population diversity. Compared to simply setting individuals that violate constraints directly as boundary values, the boundary mirroring method avoids the population converging to the same point on the boundary, improving the algorithm's search capability. This precise adjustment method ensures that all individuals satisfy the constraints without compromising population diversity, which is beneficial for the algorithm to find the global optimum.

[0165] In the above embodiments, by introducing a control coefficient to adjust each actual set in the previous iteration, instead of simply setting each actual set in the previous iteration as a boundary value, it is possible to maintain the diversity of actual sets while ensuring that all actual sets satisfy the constraints, avoid the algorithm from converging to a local optimum too early, and improve the global search capability and solution quality of the algorithm.

[0166] In some alternative implementations, see [link to relevant documentation]. Figure 5 , Figure 5 A flowchart illustrating another method for regulating charging stations is provided, which includes the following steps:

[0167] Charging pile equipment information collection and location: Complete the collection of equipment parameters, distribution network topology location and three-phase sequence registration of all controllable charging piles, which is only performed once when the system is first run or when new equipment is added.

[0168] Theoretical power range calculation for charging pile equipment: Each charging pile calculates the upper and lower limits (theoretical power range) of charging power for the current control cycle based on real-time battery state of charge, remaining charging time and equipment rated parameters.

[0169] Theoretical power range reported to the dispatch center: Each charging pile uploads its calculated theoretical power range to the district control center via the communication network.

[0170] Optimization objective construction: The control center constructs a multi-objective optimization function that includes three-phase imbalance, transformer area line loss, user charging satisfaction, and stable equipment operation.

[0171] Optimize the control strategy: Using the theoretical power range of all charging piles as constraints, solve the multi-objective optimization model to generate the globally optimal power allocation control strategy.

[0172] Control strategies are sent to charging pile equipment: The control center sends the optimal charging power command corresponding to each charging pile to all terminal equipment participating in the control within the distribution area.

[0173] Charging pile equipment executes power commands: After receiving the command, each charging pile adjusts its own output power to complete the charging task of the current control cycle.

[0174] Compared with the prior art, the charging pile control method provided in this application has the following technical effects:

[0175] This approach effectively improves power quality in distribution substations. By selecting three-phase imbalance and network line loss as the core optimization objectives, it can effectively improve the power grid's operating status and compensate for the shortcomings of existing methods that neglect power quality issues.

[0176] It achieves refined and adaptive closed-loop control. Based on the real-time iterative mechanism of "margin reporting - command issuance", it directly manages the controllable load collaboratively for charging piles, overcoming the lag of traditional extensive and open-loop control, and significantly improving the real-time performance and accuracy of control.

[0177] It takes into account multiple objectives of the power grid, users, and equipment. In the optimization of objectives, it fully considers the power quality of the distribution network, user charging needs, and equipment operating mechanisms, thereby maximizing comprehensive benefits and ensuring the practical feasibility of the control strategy.

[0178] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0179] Based on the same inventive concept, this application also provides a charging pile control device for implementing the charging pile control method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more charging pile control device embodiments provided below can be found in the limitations of the charging pile control method described above, and will not be repeated here.

[0180] In one exemplary embodiment, such as Figure 6 As shown, a charging pile control device is provided, comprising:

[0181] The acquisition module 10 is used to acquire the theoretical power range of the charging power of each charging pile in the distribution area within the current control cycle in response to entering each control cycle; wherein, the theoretical power range of the charging power of the charging pile within the current control cycle is determined by the charging pile based on the cycle length of the control cycle, as well as the current equipment data and remaining charging time corresponding to the charging pile.

[0182] Module 20 is used to select, for each charging pile, the actual charging power of the charging pile within the current control cycle from the theoretical power range corresponding to the charging pile; and,

[0183] The charging module 30 is used to control the charging pile to charge the corresponding electrical equipment according to the actual charging power.

[0184] The aforementioned charging pile control device determines the theoretical power range of the charging pile within each control cycle based on the cycle length, the current equipment data, and the remaining charging time corresponding to the charging pile. This fully considers the power demand of the equipment corresponding to the charging pile and selects the actual charging power of the charging pile within the current control cycle from the theoretical power range. This achieves the goal of controlling the charging power of the charging pile to meet the power demand of the equipment corresponding to the charging pile while satisfying all charging pile power range constraints.

[0185] In one embodiment, the selection module 20 is specifically used for:

[0186] The objective function is minimized, and the theoretical power range of each charging pile in the current control period is used as a constraint. The objective function is solved to obtain the actual charging power of each charging pile in the current control period.

[0187] The objective function is used to measure at least the power supply unreliability of the distribution substation.

[0188] In one embodiment, the objective function includes at least one of the following:

[0189] Three-phase unbalance function; where the three-phase unbalance function is used to measure the degree of three-phase voltage imbalance at preset nodes of the distribution substation;

[0190] Total line loss function; where the total line loss function is used to measure the total active power loss of all phase lines and neutral lines in the distribution area;

[0191] Charging capacity function; where the charging capacity function is used to measure how close the actual state of charge of the electrical equipment corresponding to each charging pile is to the target state of charge after the end of the current control cycle.

[0192] Stable operation function; whereby the stable operation function is used to measure the extent to which the charging time of the electrical equipment corresponding to each charging pile exceeds the corresponding preset power threshold when continuously charging at high power, where high power is the power exceeding the corresponding preset power.

[0193] In one embodiment, the selection module 20 is specifically used for:

[0194] For each charging pile, the intersection of the theoretical power range of the charging pile's charging power within the current control cycle and the actual power range of the charging pile's charging power is determined to obtain the target power range corresponding to the charging pile. The objective function is solved with the minimum function value as the objective and the target power range corresponding to each charging pile as the constraint.

[0195] In one embodiment, the selection module 20 is specifically used for:

[0196] For each iteration, based on the theoretical power range of each charging pile's charging power within the current control cycle, each actual set from the previous iteration is adjusted to obtain the corresponding initial set for the current iteration. Each actual set from the previous iteration includes the actual charging power of each charging pile determined in the previous iteration, and each initial set from the current iteration includes the initial charging power of each charging pile in the current iteration. For each initial set of the current iteration, the current function value of the objective function is determined based on the initial charging power of each charging pile in the current iteration within the initial set. Each actual set of the current iteration and its corresponding current function value are then used to determine the actual set of the current iteration. If the iteration stopping condition is met, the actual charging power of each charging pile within the current control cycle is determined based on each actual set of the last iteration.

[0197] In one embodiment, the selection module 20 is specifically used for:

[0198] For each actual set in the previous iteration, the actual charging power of the first charging pile in the actual set is adjusted to the first charging power, and the actual charging power of the second charging pile in the actual set is adjusted to the second charging power, thus obtaining the initial set corresponding to the actual set in the current iteration. Here, the actual charging power of the first charging pile determined in the previous iteration is less than the theoretical lower limit of the theoretical power range of the first charging pile's charging power in the current control period; the actual charging power of the second charging pile determined in the previous iteration is greater than the theoretical upper limit of the theoretical power range of the first charging pile's charging power in the current control period; the first charging power is the theoretical power of the first charging pile within the current control period. The sum of the theoretical lower limit of the theoretical power range of the charging power and the first product, where the first product is the product of the first difference and the first control coefficient, and the first difference is the difference between the theoretical lower limit of the theoretical power range of the charging power of the first charging pile in the current control cycle and the actual charging power of the first charging pile determined in the previous iteration; the second charging power is the difference between the theoretical upper limit of the theoretical power range of the charging power of the second charging pile in the current control cycle and the second product, where the second product is the difference between the actual charging power of the second charging pile determined in the previous iteration and the theoretical upper limit of the theoretical power range of the charging power in the current control cycle, and the control coefficient.

[0199] Each module in the aforementioned charging pile control device 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 in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0200] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 7 As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational 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 a database. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media to run. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When the computer program is executed by the processor, it implements a charging pile control method.

[0201] 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.

[0202] In one exemplary 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 implement the steps of the charging pile control method described in any of the above embodiments.

[0203] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the charging pile control method described in any of the above embodiments.

[0204] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the charging pile control method described in any of the above embodiments.

[0205] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0206] 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 above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0207] 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 application.

[0208] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this 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 application should be determined by the appended claims.

Claims

1. A method for regulating a charging pile, characterized in that, The method includes: In response to entering each control cycle, the theoretical power range of the charging power of each charging pile in the distribution area within the current control cycle is obtained; wherein, the theoretical power range of the charging power of the charging pile within the current control cycle is determined by the charging pile based on the cycle length of the control cycle, as well as the current equipment data and remaining charging time corresponding to the charging pile. For each of the aforementioned charging piles, the actual charging power of the charging pile within the current control cycle is selected from the theoretical power range corresponding to the charging pile; and, The charging pile is controlled to charge the applied electrical equipment according to the actual charging power.

2. The method according to claim 1, characterized in that, For each charging pile, selecting the actual charging power of the charging pile within the current control cycle from the theoretical power range corresponding to the charging pile includes: The objective function is to minimize its value, and the theoretical power range of each charging pile in the current control period is used as a constraint. The objective function is then solved to obtain the actual charging power of each charging pile in the current control period. The objective function is used to measure at least the power supply unreliability of the distribution radio station area.

3. The method according to claim 2, characterized in that, The objective function includes at least one of the following: Three-phase unbalance function; wherein, the three-phase unbalance function is used to measure the degree of three-phase voltage imbalance at a preset node of the distribution substation; Total line loss function; wherein, the total line loss function is used to measure the total active power loss of all phase lines and neutral lines in the distribution area; Charging capacity function; wherein, the charging capacity function is used to measure the degree of closeness between the actual state of charge of the electrical equipment corresponding to each charging pile and the target state of charge after the end of the current control cycle. A stable operation function; wherein the stable operation function is used to measure the degree to which the charging time of the electrical equipment corresponding to each charging pile continuously charging at high power exceeds the corresponding preset power threshold, wherein high power is the power exceeding the corresponding preset power.

4. The method according to claim 2, characterized in that, The objective function is to minimize its value, and is constrained by the theoretical power range of each charging pile's charging power within the current control cycle. Solving the objective function includes: For each charging pile, the intersection of the theoretical power range of the charging pile in the current control cycle and the actual power range of the charging pile is determined to obtain the target power range corresponding to the charging pile. The objective function is solved with the goal of minimizing its value and with the target power range corresponding to each charging pile as a constraint.

5. The method according to claim 2, characterized in that, The objective function is to minimize its value, and the theoretical power range of each charging pile within the current control period is used as a constraint. Solving the objective function yields the actual charging power of each charging pile within the current control period, including: For each iteration round, based on the theoretical power range of each charging pile's charging power within the current control cycle, each actual set of the previous iteration round is adjusted to obtain the corresponding initial set of the current iteration round; wherein, each actual set of the previous iteration round includes the actual charging power of each charging pile determined in the previous iteration round, and each initial set of the current iteration round includes the initial charging power of each charging pile in the current iteration round. For each initial set in the current iteration round, the current function value of the objective function is determined based on the initial charging power of each charging pile in the current iteration round within the initial set. Based on each initial set of the current iteration and the corresponding current function value, determine each actual set of the current iteration; If the iteration stopping condition is met, the actual charging power of each charging pile in the current control cycle is determined based on each actual set of the last iteration round.

6. The method according to claim 5, characterized in that, The step of adjusting each actual set from the previous iteration based on the theoretical power range of each charging pile within the current control cycle to obtain the corresponding initial set for the current iteration includes: For each actual set in the previous iteration round, the actual charging power of the first charging pile in the actual set is adjusted to the first charging power, and the actual charging power of the second charging pile in the actual set is adjusted to the second charging power, so as to obtain the initial set corresponding to the actual set in the current iteration round. Wherein, the actual charging power of the first charging pile determined in the previous iteration is less than the lower limit of the theoretical power range of the first charging pile in the current control cycle; the actual charging power of the second charging pile determined in the previous iteration is greater than the upper limit of the theoretical power range of the first charging pile in the current control cycle. The first charging power is the sum of the theoretical lower limit of the theoretical power range of the charging power of the first charging pile in the current control cycle and the first product. The first product is the product of the first difference and the first control coefficient. The first difference is the difference between the theoretical lower limit of the theoretical power range of the charging power of the first charging pile in the current control cycle and the actual charging power of the first charging pile determined in the previous iteration. The second charging power is the difference between the theoretical upper limit of the theoretical power range of the charging power of the second charging pile in the current control cycle and the second product. The second product is the difference between the actual charging power of the second charging pile determined in the previous iteration and the theoretical upper limit of the theoretical power range of the charging power in the current control cycle, multiplied by the control coefficient.

7. A charging pile control device, characterized in that, The device includes: The acquisition module is used to acquire, in response to entering each control cycle, the theoretical power range of the charging power of each charging pile in the distribution area within the current control cycle; wherein, the theoretical power range of the charging power of the charging pile within the current control cycle is determined by the charging pile based on the cycle length of the control cycle, as well as the current device data and remaining charging time corresponding to the charging pile. The selection module is configured to, for each charging pile, select the actual charging power of the charging pile within the current control cycle from the theoretical power range corresponding to the charging pile; and, The charging module is used to control the charging pile to charge the applied electrical equipment according to the actual charging power.

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.

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

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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