Charging pile group load intelligent regulation and control method and system based on dynamic power balance

Abstract

The invention relates to the technical field of charging pile group load intelligent regulation and control, and particularly discloses a charging pile group load intelligent regulation and control method and system based on dynamic power equalization, and the method comprises the steps: collecting the oil temperature of a transformer in real time, calculating a total output power threshold value, and correcting the actual output power of a charging pile through combining the line loss and the equipment aging degree; a multi-dimensional load regulation and control decision matrix including user priority, equipment health degree and power regulation sensitivity is established, a dynamic power strategy is allocated through matrix weight, power allocation is inclined to high-priority users and health equipment, emergency power allocation and progressive readjustment during newly-added demands are supported, and the power regulation and control efficiency is improved. Impact of sudden power change on a power grid is avoided, system stability is ensured when newly added loads are accessed, refined intelligent regulation and control of loads of the charging pile group are finally realized, transformer safety, charging efficiency and user experience are improved, and power grid stability and resource optimization configuration are ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent load regulation of charging pile groups, and relates to an intelligent load regulation method and system for charging pile groups based on dynamic power balance. Background Art

[0002] With the popularization of electric vehicles, the scale of charging pile groups is constantly expanding, and it has become increasingly crucial to effectively regulate their loads. Currently, in the aspect of charging pile group load regulation, traditional methods mainly manage according to fixed power distribution schemes or simple power monitoring. This way often cannot adapt to the dynamic changes of transformer power and the diverse needs of users and equipment in real time. Therefore, in order to improve the user experience and vehicle charging efficiency, it is necessary to intelligently regulate the charging pile group load.

[0003] For example, the patent with the Chinese patent publication number CN105610218A discloses a coordinated control method for intelligent charging of electric vehicles. The key is to maximize the utilization of the redundant capacity of the transformer to achieve the charging of electric vehicles while ensuring safety. One or more outputs of the transformer are separately connected to the charging piles, and load monitoring is respectively carried out with the external loads of the charging piles, which better realizes the intelligent charging management of electric vehicles by using the redundant capacity of the transformer under the condition of meeting normal power consumption. When balancing the redundant capacity of the transformer and the number of electric vehicle charging requirements, the number of charging piles that can be put into use each time is determined according to a percentage, and the charging is carried out according to the priority level of the charging piles, rather than putting all the redundant capacity into the charging piles at once.

[0004] For example, the patent with the Chinese patent publication number CN114498843B discloses a charging power adjustment method for a decentralized charging device group under the user-side power grid. The electrical energy parameters of each intelligent charging pile in the decentralized charging device group are collected, a dynamic relationship model of the electrical energy parameters and the power grid load in the time dimension is established according to the electrical energy parameters of each intelligent charging pile and the power grid load, and the standard value of the electrical energy parameters is determined according to the dynamic relationship model. The comparison relationship between the real-time electrical energy parameters and the standard value of the electrical energy parameters is determined, and whether the intelligent charging pile adjusts the charging power according to the preset logic is determined according to the comparison relationship between the real-time electrical energy parameters and the standard value of the electrical energy parameters.

[0005] The following problems also exist in the above existing technologies: 1. Although the redundant capacity of the transformer can be used for charging management and the charging piles can be put into use according to the priority level, key data such as the top oil temperature of the transformer is not collected in real time to accurately obtain the total output power threshold, and the power upper limit cannot be dynamically adjusted to ensure the safe and stable operation of the transformer. At the same time, when calculating the output power of the charging pile, factors such as cable loss and equipment aging are not considered, and the power calculation is not accurate enough.

[0006] 2. Charging management is only based on priority level and the number of inputs, and a multi-dimensional regulation decision matrix including user compliance data, equipment health, power adjustment sensitivity, etc. is not constructed, making it difficult to comprehensively consider user needs and equipment status.

[0007] 3. Only by collecting the electrical energy parameters of intelligent charging piles and the grid load to establish a time-dimensional model to adjust the charging power, but when new charging demands are added, there is a lack of a mechanism to automatically trigger the dynamic reallocation of power budgets and cannot flexibly respond to changes in charging demands. Summary of the Invention

[0008] In view of this, to solve the problems raised in the above background technology, a method and system for intelligent regulation of charging pile group load based on dynamic power balance are proposed.

[0009] The object of the present invention can be achieved through the following technical solutions: In the first aspect of the present invention, a method for intelligent regulation of charging pile group load based on dynamic power balance is provided, including: S1. Read the rated power of the transformer of the target charging station, and collect the top oil temperature of the transformer in real time, so as to obtain the total output power threshold of the target charging station.

[0010] S2. Collect the working data of each working charging pile in the target charging station, and generate the corrected actual output power of each working charging pile accordingly.

[0011] S3. Obtain the remaining battery power, full-load power, and historical compliance data of the vehicles of the users corresponding to each working charging pile, and obtain the equipment operation status data and historical power adjustment data of each working charging pile, and establish a multi-dimensional load regulation decision matrix for each working charging pile including user priority, equipment health, and power adjustment sensitivity.

[0012] S4. Based on the total output power threshold of the target charging station and the corrected actual output power of each working charging pile, generate a dynamic allocation strategy through the multi-dimensional load regulation decision matrix.

[0013] S5. When the target charging station detects new charging demands, extract the required power, allowed charging duration, and full-load power of the newly connected device, collect the working data of the working charging pile corresponding to the newly connected device, and automatically trigger the dynamic reallocation of power budgets.

[0014] In the second aspect of the present invention, a system for intelligent regulation of charging pile group load based on dynamic power balance is provided, including: a total output power threshold acquisition module, which reads the rated power of the transformer of the target charging station and collects the top oil temperature of the transformer in real time, so as to obtain the total output power threshold of the target charging station.

[0015] The actual output power generation module collects the working data of each working charging pile in the target charging station and generates the corrected actual output power of each working charging pile accordingly.

[0016] The regulation decision matrix establishment module obtains the remaining battery capacity, full-load capacity, and historical compliance data of the vehicles of the users currently charging corresponding to each working charging pile, obtains the equipment operation status data and historical power adjustment data of each working charging pile, and establishes a multi-dimensional load regulation decision matrix for each working charging pile including user priority, equipment health, and power adjustment sensitivity accordingly.

[0017] The dynamic allocation strategy generation module generates a dynamic allocation strategy based on the total output power threshold of the target charging station and the corrected actual output power of each working charging pile through the multi-dimensional load regulation decision matrix.

[0018] The dynamic reallocation trigger module, when a new charging demand is detected in the target charging station, extracts the required power, allowed charging duration, and full-load capacity of the newly connected device, collects the working data of the working charging pile corresponding to the newly connected device, and automatically triggers the dynamic reallocation of the power budget.

[0019] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) By coupling the rated power of the transformer, the real-time oil temperature, the reference oil temperature, and the temperature rise compensation factor, the present invention calculates the total output power threshold in real time, ensures that the transformer operates within the safe power range, avoids the risk of overload, and extends the service life of the equipment.

[0020] (2) By combining the line loss and the equipment aging degree to correct the actual output power, the present invention improves the accuracy of load statistics, reduces the energy waste caused by cable loss, and ensures the safe operation of the charging pile.

[0021] (3) By constructing a multi-dimensional decision matrix including user priority (remaining battery capacity, compliance record), equipment health (number of failures), and power adjustment sensitivity (response time), and calculating the comprehensive score through weighted calculation, the present invention realizes the inclination of power distribution to high-priority users and healthy equipment, taking into account both user experience and equipment reliability.

[0022] (4) When there is a new demand, the present invention allocates the initial power from the emergency margin based on the required power and the urgency of power consumption, and through progressive readjustment (exponentially decaying the allocation adjustment amount), avoids the impact of sudden power changes on the power grid, ensures the system stability when new loads are connected, and improves the charging efficiency and resource utilization rate. Description of the Drawings

[0023] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0024] Figure 1 It is a schematic flow diagram of the method steps of the present invention.

[0025] Figure 2 It is a schematic connection diagram of the system structure of the present invention.

[0026] Figure 3 It is a schematic flow diagram of the dynamic reallocation of the present invention. Specific embodiments

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0028] Please refer to Figure 1 As shown, the first aspect of the present invention provides an intelligent load regulation method for a charging pile group based on dynamic power balance, including: S1. Read the rated power of the transformer of the target charging station, and collect the top oil temperature of the transformer in real time, so as to obtain the total output power threshold of the target charging station.

[0029] It should be noted that the rated power of the transformer is read in real time through the power monitoring terminal of the target charging station, and the top oil temperature of the transformer is collected through the installed infrared thermometer.

[0030] In a specific embodiment of the present invention, the specific method for obtaining the total output power threshold of the target charging station is: extract the temperature rise compensation factor and the reference top oil temperature of the transformer from the database.

[0031] Couple and calculate the rated power of the transformer of the target charging station, the top oil temperature of the transformer, the reference top oil temperature of the transformer, and the temperature rise compensation factor to obtain the total output power threshold of the target charging station.

[0032] It should be noted that the specific expression formula for the total output power threshold of the target charging station is: P 总 =P 额 ×(1 - α×(T 顶 -T 基 ))), where P 总 and P 额respectively represent the total output power threshold and the rated power of the transformer, α represents the temperature rise compensation factor, T 顶 and T 基 respectively represent the top oil temperature of the transformer and the reference top oil temperature of the transformer.

[0033] It should also be noted that the core design idea of this formula is to achieve the adaptive adjustment of the transformer power threshold through a dynamic temperature rise compensation mechanism. Its technical essence is to directly couple the temperature variable with the power capacity, and use the temperature rise compensation factor to quantify the attenuation effect of temperature on the output capacity of the transformer.

[0034] In the embodiment of the present invention, by coupling the rated power of the transformer, the real-time oil temperature, the reference oil temperature and the temperature rise compensation factor, the total output power threshold is calculated in real time to ensure that the transformer operates in a safe power range, avoid overload risks and extend the equipment life.

[0035] S2. Collect the working data of each working charging pile in the target charging station, and generate the corrected actual output power of each working charging pile based on this.

[0036] It should be noted that the working data of each working charging pile are all collected from the charging pile management background.

[0037] In a specific embodiment of the present invention, the specific method for generating the corrected actual output power of each working charging pile is as follows: extract the required output power, the grayscale image of the cable joint, the current output current, the resistance per unit length of the cable in the loop where it is located, and the cable length from the working data of each working charging pile in the target charging station.

[0038] Multiply the square of the current output current by the resistance per unit length of the cable and the cable length in the loop where it is located to obtain the line compensation power of each working charging pile.

[0039] Evaluate the aging degree according to the grayscale image of the cable joint of each working charging pile, so as to obtain the safety factor of each working charging pile.

[0040] It should be noted that the specific process of obtaining the safety factor of each working charging pile is as follows: extract the grayscale values of each grayscale region from the grayscale image of the cable joint of each working charging pile, and compare them with the grayscale value intervals corresponding to the cable joint oxidation stored in the database.

[0041] If the grayscale value of a certain grayscale region is within the grayscale value interval corresponding to the cable joint oxidation, it indicates that this grayscale region is an oxidation region, and count the number of cable joint oxidation regions of each working charging pile.

[0042] Take the ratio of the difference between the number of cable joint oxidation regions of each working charging pile and the set reference value to the set reference value, and use the ratio result as the cable joint oxidation degree of each working charging pile.

[0043] Compare the oxidation degree of the cable connectors of each working charging pile with the oxidation degree ranges of the cable connectors corresponding to each safety factor stored in the database. If the oxidation degree of the cable connector of a certain working charging pile is within the oxidation degree range corresponding to a certain safety factor, then use this safety factor as the safety factor of this working charging pile, and thus obtain the safety factors of each working charging pile.

[0044] Multiply the line compensation power of each working charging pile by the safety factor, and sum the multiplication result with the required output power to obtain the corrected actual output power of each working charging pile.

[0045] In the embodiment of the present invention, by combining line loss and equipment aging degree to correct the actual output power, the load statistics accuracy is improved, the energy waste caused by cable loss is reduced, and the safe operation of the charging pile is ensured.

[0046] S3. Obtain the remaining battery power, full-load power, and historical compliance data of the vehicles of the users corresponding to each working charging pile that are being charged, and obtain the equipment operation status data and historical power adjustment data of each working charging pile, and accordingly establish a multi-dimensional load regulation decision matrix for each working charging pile including user priority, equipment health, and power adjustment sensitivity.

[0047] It should be noted that the remaining battery power and historical compliance data are both extracted from the settings of the charging pile APP, the full-load power is obtained from the vehicle BMS of the users corresponding to the charging pile that is being charged, and the equipment operation status data and historical power adjustment data of each working charging pile are both obtained from the charging pile management background.

[0048] In a specific embodiment of the present invention, the specific process of establishing a multi-dimensional load regulation decision matrix for each working charging pile including user priority, equipment health, and power adjustment sensitivity is as follows: Extract the reservation times and compliance times from the historical compliance data of the users corresponding to each working charging pile that are being charged, and perform fusion analysis based on the remaining battery power and full-load power to obtain the user priority of each working charging pile.

[0049] It should be noted that the specific process of obtaining the user priority of each working charging pile is as follows: Divide the compliance times and reservation times of the users corresponding to each working charging pile that are being charged to obtain the proportion of the compliance times of the users corresponding to each working charging pile that are being charged, and divide the difference between it and the set reference value by the set reference value to obtain the trustworthiness of the users corresponding to each working charging pile that are being charged.

[0050] Take the ratio between the remaining power of the vehicle and the full-load power as the proportion of the remaining power of the vehicles of the users being charged corresponding to each working charging pile. Take the ratio of the difference between the set reference proportion of the remaining power of the vehicle and the proportion of the remaining power of the vehicles of the users being charged corresponding to each working charging pile to the set reference proportion of the remaining power of the vehicle, to obtain the charging urgency of the users being charged corresponding to each working charging pile.

[0051] Perform weighted calculation and summation on the trustworthiness and charging urgency of the users being charged corresponding to each working charging pile, to obtain the user priority of each working charging pile.

[0052] In a specific embodiment of the present invention, when evaluating the user priority of each working charging pile, the proportion of the trustworthiness and the charging urgency is equally important. Therefore, the weight proportions of the trustworthiness and the charging urgency are respectively taken as 0.5 and 0.5.

[0053] Perform health analysis based on the historical failure times in the device operation status data of each working charging pile, to obtain the device health of each working charging pile.

[0054] It should be noted that the specific method for obtaining the device health of each working charging pile is: record the historical failure times of each working charging pile as ε i , where i represents the number of the working charging pile, i = 1, 2,..., n.

[0055] Calculate the device health β of each working charging pile i , where ε′ represents the set reference failure times, and e represents the natural constant.

[0056] It should be further noted that the derivation process of the above device health formula is: ε′ - ε in the formula i reflects the difference between the actual failure times and the reference failure times. Using the exponential function is to utilize its characteristics such as the value range being (0, +∞) and the function value being 1 when the exponent is 0. Process the difference through the exponential function to reflect the impact of the failure times difference on the device health in a non-linear manner. The denominator makes the calculated result β i be limited to the interval (0, 1). Generally, it can be considered that the closer the value is to 1, the higher the device health; the closer it is to 0, the lower the health, which meets the general requirements for measuring the device health.

[0057] Perform sensitivity assessment based on the time points when each power adjustment command is issued and the actual response time points in the historical power adjustment data of each working charging pile, to obtain the power adjustment sensitivity of each working charging pile.

[0058] It should be noted that the specific process of obtaining the power adjustment sensitivity of each working charging pile is as follows: The interval duration between the time point when each power adjustment command is issued and the actual response time point is used as the response duration of each power adjustment, and the average value is calculated to obtain the average response duration of each working charging pile, denoted as t. i 。

[0059] Calculate the power adjustment sensitivity Q of each working charging pile. i , where t represents the response duration set as a reference.

[0060] It should be further noted that the derivation process of the above power adjustment sensitivity formula is as follows: The exponential function has some characteristics. Its value range is (0, +∞). When the exponential part is 0, the function value is 1. Using the exponential function here may be to reflect the response duration difference in a non-linear way that is convenient for scaling between 0 and 1. The denominator can limit the result to the interval (0, 1), meeting the measurement requirement of "sensitivity" which is expected to take values within a certain range.

[0061] Based on the user priority, equipment health, and power adjustment sensitivity of each working charging pile above, a multi-dimensional load regulation decision matrix for each working charging pile is obtained.

[0062] S4. Based on the total output power threshold of the target charging station and the corrected actual output power of each working charging pile, generate a dynamic allocation strategy through the multi-dimensional load regulation decision matrix.

[0063] In a specific embodiment of the present invention, the specific process of generating a dynamic allocation strategy through the multi-dimensional load regulation decision matrix is as follows: The corrected actual output powers of each working charging pile are accumulated to obtain the corrected actual total output power.

[0064] The difference between the total output power threshold of the target charging station and the corrected actual total output power is calculated to obtain the output power difference of the target charging station.

[0065] The ratio of the corrected actual total output power to the total output power threshold is calculated to obtain the grid load rate of the target charging station.

[0066] Based on the grid load rate of the target charging station, match the proportion weights corresponding to the user priority, equipment health, and power adjustment sensitivity respectively belonging to each grid load interval stored in the database to obtain the proportion weights corresponding to the user priority, equipment health, and power adjustment sensitivity of the target charging station.

[0067] It should be noted that the proportion weights corresponding to the user priority, equipment health, and power adjustment sensitivity of different grid load intervals are different. The advantage of this design is that this dynamic weight matching design automatically adjusts the weight distribution of user priority, equipment health, and power sensitivity by real-time sensing of the grid load rate, realizes the intelligent optimization configuration of charging station resources, and achieves the optimal trade-off among the three goals of charging efficiency, equipment life, and grid safety through a data-driven adaptive strategy, which can improve the operation efficiency and reduce the failure rate compared with the fixed weight scheme.

[0068] The user priority, equipment health, and power adjustment sensitivity of each working charging pile are weighted and calculated with their corresponding proportion weights respectively and summed to obtain the comprehensive evaluation index of each working charging pile, and the product of the comprehensive evaluation index and the evaluation score corresponding to the unit comprehensive evaluation index stored in the database is used as the comprehensive score of each working charging pile.

[0069] When the output power difference is greater than 0, it indicates that the target charging station has surplus power to be allocated, and positive power distribution adjustment is carried out.

[0070] In a specific embodiment of the present invention, the specific process of performing positive power distribution adjustment is as follows: Sort the comprehensive scores of each working charging pile in descending order, and take the product of the proportion of the comprehensive scores of each working charging pile after descending order and the output power difference as the power basic allocation amount of each working charging pile after descending order.

[0071] It should be noted that the proportion of the comprehensive score of each working charging pile after descending order is obtained by taking the ratio of the comprehensive score of each working charging pile after descending order to the sum of the comprehensive scores of all working charging piles.

[0072] Based on the power basic allocation amount and power adjustment sensitivity of each working charging pile after descending order, sensitivity compensation analysis is carried out to obtain the actual power allocation amount of each working charging pile after descending order.

[0073] It should be noted that the specific expression formula for obtaining the actual power allocation amount of each working charging pile after descending order is: Where and respectively represent the actual power allocation amount and power basic allocation amount of the jth working charging pile after descending order, Q j represents the power adjustment sensitivity of the jth working charging pile after descending order, A represents the power compensation amplitude factor, j represents the number of each working charging pile after descending order, and j = 1, 2,..., m.

[0074] In a specific embodiment of the present invention, if the value of the power compensation amplitude factor is too large, it may lead to power mutation and cause the bus voltage fluctuation to exceed the limit. If it is too small, the sensitivity difference cannot be effectively reflected and the optimization effect is weak. Therefore, the power compensation amplitude factor optimized through the actual operation data of the charging station can be set to 0.2.

[0075] It should be further noted that the advantage of the above formula design of the actual power distribution amount is as follows: through the linear compensation model (1 + A×Q j ), three key objectives are achieved: 1) differential distribution (devices with high power adjustment sensitivity obtain more power to improve the overall charging speed), 2) controllable adjustment (limiting the compensation amplitude through the fixed coefficient A to avoid resource inclination), 3) efficient calculation (the linear formula simplifies real-time operation). This design not only respects the performance differences of devices but also maintains the overall balance of the system. Compared with the equal distribution scheme, it can improve the charging efficiency and control the grid fluctuation within a safe range.

[0076] When the output power difference is less than 0, it indicates that the total demand exceeds the limit, and the power of some charging piles needs to be reduced, and negative power distribution adjustment is carried out.

[0077] In a specific embodiment of the present invention, the specific process of the negative power distribution adjustment is as follows: sort the comprehensive scores of each working charging pile in ascending order, and take the product of the proportion of the comprehensive scores of each working charging pile after ascending order and the absolute value of the output power difference as the power basic load reduction amount of each working charging pile after ascending order.

[0078] It should be noted that the ratio of the comprehensive score of each working charging pile after ascending order to the sum of the comprehensive scores of all working charging piles is used to obtain the proportion of the comprehensive scores of each working charging pile after ascending order.

[0079] Based on the power basic load reduction amount and equipment health of each working charging pile after ascending order, a health protection assessment is carried out to obtain the actual power load reduction amount of each working charging pile after ascending order.

[0080] It should be noted that the expression formula for obtaining the actual power load reduction amount of each working charging pile after ascending order is: Among them, and respectively represent the actual power load reduction amount and the power basic load reduction amount of the g-th working charging pile after ascending order, β g represents the equipment health of the g-th working charging pile after ascending order, g represents the number of each working charging pile after ascending order, and g = 1, 2,..., q.

[0081] It should be further noted that the core idea of the formula design of the above actual power derating amount is to dynamically adjust the derating amplitude through the device health degree to implement the intelligent derating strategy of "device protection first". Its innovation is reflected in: 1) The health degree reverse compensation mechanism (1-β g ) ensures that high-health devices bear a smaller derating amount, effectively extending the life of key devices. 2) The linear calculation model maintains the real-time performance of the algorithm while ensuring the fairness of derating. 3) Cooperating with the ascending order sorting to form a fault-tolerant system of "low-health devices derating first", which not only meets the power constraints of the power grid but also reduces the device failure risk.

[0082] In the embodiment of the present invention, a multi-dimensional decision matrix including user priority (remaining power, performance record), device health degree (number of failures), and power adjustment sensitivity (response time) is constructed, and the comprehensive score is calculated through weighted calculation to realize the inclination of power distribution to high-priority users and healthy devices, taking into account user experience and device reliability.

[0083] S5. When the target charging station detects a new charging demand, extract the required power, allowed charging duration, and full-load power of the newly connected device, collect the working data of the working charging pile corresponding to the newly connected device, and automatically trigger the dynamic redistribution of the power budget.

[0084] It should be noted that the required power and allowed charging duration of the newly connected device are both extracted from the data manually input by the user in the charging pile APP, the full-load power is directly obtained from the vehicle BMS, and the working data of the working charging pile corresponding to the newly connected device is collected from the charging pile management background.

[0085] Please refer to Figure 3 As shown, in the specific embodiment of the present invention, the specific implementation process of the automatically triggering the dynamic redistribution of the power budget is as follows: Multiply the total output power threshold of the target charging station by the percentage of the total output power corresponding to the emergency margin stored in the database to obtain the emergency margin of the target charging station.

[0086] Divide the required power of the newly connected device by the allowed charging duration to obtain the required power of the newly connected device.

[0087] Based on the comprehensive processing of the required power and full-load power of the newly connected device, obtain the power consumption urgency of the newly connected device.

[0088] It should be noted that the specific method for obtaining the power consumption urgency of the newly connected device is as follows: Divide the required power of the newly connected device by the full-load power to obtain the required power ratio of the newly connected device, and divide the difference between the required power ratio and the set reference required power ratio by the set reference required power ratio to obtain the power consumption urgency of the newly connected device.

[0089] Allocate initial power for the newly connected device from the emergency margin based on the power consumption emergency level and demand power of the newly connected device, and trigger progressive readjustment of the power of the target charging station.

[0090] It should be noted that the specific value of the initial power is: P 初始 = min(P 需 , P 裕量 ×δ 新 ), where P 初始 represents the initial power allocated for the newly connected device, P 需 and P 裕量 respectively represent the emergency margin of the target charging station for the demand power of the newly connected device, and δ 新 represents the power consumption emergency level of the newly connected device.

[0091] In a specific embodiment of the present invention, the specific process of triggering progressive readjustment of the power of the target charging station is as follows: Based on the working data of the working charging piles corresponding to the newly connected device, the corrected actual output power of the working charging piles corresponding to the newly connected device is generated in the same way as the generation method of the corrected actual output power of each working charging pile.

[0092] Add the corrected actual total output power to the corrected actual output power of the working charging piles corresponding to the newly connected device to obtain the corrected actual output power of all working charging piles, and use it as the current total load of the target charging station. <W

[0093] Take the difference between the total output power threshold of the target charging station and the initial power of the newly connected device as the updated total power threshold.

[0094] Take the difference between the updated total power threshold and the current total load as the updated output power difference.

[0095] Based on the updated output power difference and the maximum adjustment amount allowed in a single adjustment stage stored in the database, perform rounding calculation to obtain the permitted number of adjustment stages.

[0096] It should be noted that the specific value of the permitted number of adjustment stages is: where N represents the permitted number of adjustment stages, ΔP max represents the maximum adjustment amount allowed in a single adjustment stage stored in the database, and ΔP 新 represents the updated output power difference.

[0097] It should be further noted that the maximum adjustment amount allowed in a single adjustment stage is obtained from the charging safety rules of the target charging station. In a specific embodiment of the present invention, the maximum adjustment amount allowed in a single adjustment stage can be set to 50 kW.

[0098] Based on the number of adjustment stages and the difference between the updated output power, the power adjustment amount for each adjustment stage is allocated according to the exponential decay curve method, so as to obtain the power adjustment amount for each adjustment stage.

[0099] It should be noted that the specific method for obtaining the power adjustment amount for each adjustment stage is as follows: Among them, represents the power adjustment amount of the r-th adjustment stage, λ is the system inertia coefficient, r represents the adjustment stage number, and r = 1, 2,..., N.

[0100] It should also be noted that the system inertia coefficient is obtained by optimizing the value through fitting the actual decay curve in a step response experiment, and the specific performance is as follows: First, apply a step power disturbance to the target charging station power grid system, synchronously collect the time-domain response curve of the bus voltage, and then use the exponential decay model P(t) = P0×e -λt to fit the measured data. Among them, t represents the adjustment stage number, the value of λ is optimized and solved by the least squares method, and then the physical consistency of λ is verified by combining the rated parameters of the equipment. Finally, the value of λ is corrected through iterative testing to ensure that the voltage fluctuation is always within the set range under typical working conditions.

[0101] It should be further noted that the core idea of the formula design of the power adjustment amount is to achieve the progressive dynamic adjustment of power through the exponential decay model, and its core value lies in: 1) Scientifically matching physical laws: The exponential characteristic naturally fits the inertia of the power grid, with rapid response in the initial stage and fine convergence in the later stage; 2) Triple stability guarantee: Quantify the system dynamic response ability through the inertia coefficient, and combine the decay stage and amplitude control to suppress the voltage fluctuation within the set range.

[0102] In the embodiment of the present invention, when there is a new demand, based on the demand power and the urgency of electricity consumption, the initial power is allocated from the emergency margin, and through progressive readjustment (exponential decay allocation adjustment amount), the impact of power sudden change on the power grid is avoided, the system stability during the access of new loads is ensured, and the charging efficiency and resource utilization rate are improved.

[0103] Refer to Figure 2 As shown, the second aspect of the present invention provides a load intelligent control system for a charging pile group based on dynamic power balance, including: a total output power threshold acquisition module, an actual output power generation module, a regulation decision matrix establishment module, a dynamic allocation strategy generation module, and a dynamic reallocation trigger module.

[0104] It should be noted that the present invention also includes a database for storing temperature rise compensation factors, the reference oil temperature at the top layer of the transformer, the grayscale value range corresponding to the oxidation of the cable joint, the oxidation degree range of the cable joint corresponding to each safety factor, the proportion weights corresponding to the user priority, equipment health, and power adjustment sensitivity respectively for each power grid load range, the maximum allowable adjustment amount in a single adjustment stage, the percentage of the emergency margin corresponding to the total output power, and the evaluation score corresponding to the unit comprehensive evaluation index.

[0105] The total output power threshold acquisition module, the actual output power generation module, and the regulation decision matrix establishment module are all connected to the dynamic allocation strategy generation module. The total output power threshold acquisition module, the actual output power generation module, and the dynamic allocation strategy generation module are all connected to the dynamic reallocation trigger module. The total output power threshold acquisition module, the actual output power generation module, the dynamic allocation strategy generation module, and the dynamic reallocation trigger module are all connected to the database.

[0106] The total output power threshold acquisition module reads the rated power of the transformer of the target charging station and real-time collects the oil temperature at the top layer of the transformer, so as to obtain the total output power threshold of the target charging station.

[0107] The actual output power generation module collects the working data of each working charging pile in the target charging station and generates the corrected actual output power of each working charging pile accordingly.

[0108] The regulation decision matrix establishment module obtains the remaining battery power, full-load power, and historical compliance data of the vehicles of the users corresponding to each working charging pile being charged, and obtains the equipment operation status data and historical power adjustment data of each working charging pile, and accordingly establishes a multi-dimensional load regulation decision matrix for each working charging pile including user priority, equipment health, and power adjustment sensitivity.

[0109] The dynamic allocation strategy generation module generates a dynamic allocation strategy based on the total output power threshold of the target charging station and the corrected actual output power of each working charging pile through the multi-dimensional load regulation decision matrix.

[0110] When the target charging station detects a new charging demand, the dynamic reallocation trigger module extracts the required power, allowable charging duration, and full-load power of the newly connected device, collects the working data of the working charging pile corresponding to the newly connected device, and automatically triggers the dynamic reallocation of the power budget.

[0111] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of the present technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. An intelligent load regulation method for a charging pile group based on dynamic power balance, characterized in that, Including: S1. Read the rated power of the transformer of the target charging station, and collect the top oil temperature of the transformer in real time, so as to obtain the total output power threshold of the target charging station; S2. Collect the working data of each working charging pile in the target charging station, and generate the corrected actual output power of each working charging pile accordingly; S3. Obtain the remaining battery capacity, full load capacity and historical compliance data of the vehicles of the users charging at each working charging pile, and obtain the equipment operation status data and historical power adjustment data of each working charging pile, and establish a multi-dimensional load regulation decision matrix for each working charging pile including user priority, equipment health and power adjustment sensitivity based on these; S4. Based on the total output power threshold of the target charging station and the corrected actual output power of each working charging pile, generate a dynamic allocation strategy through the multi-dimensional load regulation decision matrix; S5. When the target charging station detects a new charging demand, extract the required power, allowed charging duration and full load capacity of the newly connected device, collect the working data of the working charging pile corresponding to the newly connected device, and automatically trigger the dynamic reallocation of power budget.

2. The intelligent load regulation method for a charging pile group based on dynamic power balance according to claim 1, wherein: The specific method for obtaining the total output power threshold of the target charging station is as follows: Extract the temperature rise compensation factor and the reference top oil temperature of the transformer from the database; Perform coupled calculation on the rated power of the transformer, the top oil temperature of the transformer, the reference top oil temperature of the transformer and the temperature rise compensation factor of the target charging station to obtain the total output power threshold of the target charging station.

3. The intelligent load regulation method for a charging pile group based on dynamic power balancing according to claim 1, wherein: The specific method for generating the corrected actual output power of each working charging pile is as follows: Extract the required output power, gray-scale image of the cable joint, the current output current, the resistance per unit length of the cable in the loop where it is located and the cable length from the working data of each working charging pile in the target charging station; Multiply the square of the current output current by the resistance per unit length of the cable in the loop where it is located and the cable length to obtain the line compensation power of each working charging pile; Evaluate the aging degree according to the cable joint image of each working charging pile to obtain the safety factor of each working charging pile; Multiply the line compensation power of each working charging pile by the safety factor, and sum the multiplication result with the required output power to obtain the corrected actual output power of each working charging pile.

4. The intelligent load regulation method for charging pile groups based on dynamic power balance according to claim 1, characterized in that: The specific process of establishing a multi-dimensional load regulation decision matrix for each working charging pile including user priority, equipment health and power adjustment sensitivity is as follows: Extract the reservation times and compliance times from the historical compliance data of the users charging at each working charging pile, and perform fusion analysis based on the remaining battery capacity and full load capacity to obtain the user priority of each working charging pile; Perform health analysis based on the historical failure times in the equipment operation status data of each working charging pile to obtain the equipment health of each working charging pile; Perform sensitivity evaluation based on the time points when each power adjustment instruction is issued and the actual response time points in the historical power adjustment data of each working charging pile to obtain the power adjustment sensitivity of each working charging pile; Comprehensively obtain the multi-dimensional load regulation decision matrix of each working charging pile based on the user priority, equipment health and power adjustment sensitivity of each working charging pile above.

5. The intelligent load regulation method for charging pile groups based on dynamic power balance according to claim 3, characterized in that: The specific process of generating a dynamic allocation strategy through the multi-dimensional load regulation decision matrix is as follows: Accumulate the corrected actual output powers of each working charging pile to obtain the corrected actual total output power; Subtract the corrected actual total output power from the total output power threshold of the target charging station to obtain the output power difference of the target charging station; Calculate the ratio of the corrected actual total output power to the total output power threshold to obtain the grid load rate of the target charging station; Based on the grid load rate of the target charging station, match the proportion weights corresponding to the user priority, equipment health, and power adjustment sensitivity of each grid load interval stored in the database to obtain the proportion weights corresponding to the user priority, equipment health, and power adjustment sensitivity of the target charging station; Weight and sum the user priority, equipment health, and power adjustment sensitivity of each working charging pile with their corresponding proportion weights to obtain the comprehensive evaluation index of each working charging pile, and take the product of the comprehensive evaluation index and the evaluation score corresponding to the unit comprehensive evaluation index stored in the database as the comprehensive score of each working charging pile; When the output power difference is greater than 0, it indicates that there is surplus power available for distribution at the target charging station, and a positive power distribution adjustment is performed; When the output power difference is less than 0, it indicates that the total demand exceeds the limit, and the power of some charging piles needs to be reduced, and a negative power distribution adjustment is performed.

6. The intelligent load regulation method for a charging pile group based on dynamic power balance according to claim 5, characterized in that: The specific process of performing the positive power distribution adjustment is as follows: Sort the comprehensive scores of each working charging pile in descending order, and take the product of the proportion of the comprehensive scores of each working charging pile after descending order and the output power difference as the basic power distribution amount of each working charging pile after descending order; Based on the basic power distribution amount of each working charging pile after descending order and the power adjustment sensitivity, perform sensitivity compensation analysis to obtain the actual power distribution amount of each working charging pile after descending order.

7. The intelligent load regulation method for a charging pile group based on dynamic power balancing according to claim 5, characterized in that: The specific process of performing the negative power distribution adjustment is as follows: Sort the comprehensive scores of each working charging pile in ascending order, and take the product of the proportion of the comprehensive scores of each working charging pile after ascending order and the absolute value of the output power difference as the basic power reduction amount of each working charging pile after ascending order; Based on the basic power reduction amount of each working charging pile after ascending order and the equipment health, perform a health protection assessment to obtain the actual power reduction amount of each working charging pile after ascending order.

8. The intelligent load regulation method for a charging pile group based on dynamic power balance according to claim 5, wherein: The specific implementation process of automatically triggering the dynamic redistribution of the power budget is as follows: Multiply the total output power threshold of the target charging station by the percentage of the emergency margin corresponding to the total output power stored in the database to obtain the emergency margin of the target charging station; Divide the required power of the newly connected device by the allowed charging duration to obtain the required power of the newly connected device; Based on the required power and full-load power of the newly connected device, perform comprehensive processing to obtain the power urgency of the newly connected device; Based on the power urgency and required power of the newly connected device, allocate initial power for the newly connected device from the emergency margin and trigger the progressive power readjustment of the target charging station.

9. The intelligent load regulation method for a charging pile group based on dynamic power balance according to claim 8, wherein: The specific process of triggering the progressive power readjustment of the target charging station is as follows: Based on the working data of the working charging piles corresponding to the newly connected device, the corrected actual output power of the working charging piles corresponding to the newly connected device is generated in the same way as the generation method of the corrected actual output power of each working charging pile; Add the corrected actual total output power to the corrected actual output power of the working charging piles corresponding to the newly connected device to obtain the corrected actual output power of all working charging piles, and use it as the current total load of the target charging station; Take the difference between the total output power threshold of the target charging station and the initial power of the newly connected device as the updated total power threshold; Take the difference between the updated total power threshold and the current total load as the updated output power difference; Based on the updated output power difference and the maximum adjustment amount allowed in a single adjustment stage stored in the database, perform rounding calculation to obtain the permitted number of adjustment stages; Based on the permitted number of adjustment stages and the updated output power difference, distribute the power adjustment amount of each adjustment stage according to the exponential decay curve method to obtain the power adjustment amount of each adjustment stage.

10. The intelligent load regulation system for charging pile groups based on dynamic power balance is characterized in that, Including: Total output power threshold acquisition module, which reads the rated power of the transformer of the target charging station and real-time collects the top oil temperature of the transformer to obtain the total output power threshold of the target charging station; Actual output power generation module, which collects the working data of each working charging pile in the target charging station and generates the corrected actual output power of each working charging pile accordingly; Regulation decision matrix establishment module, which obtains the remaining battery power, full-load power and historical compliance data of the vehicles of the users charging at each working charging pile, and obtains the equipment operation status data and historical power adjustment data of each working charging pile, and establishes a multi-dimensional load regulation decision matrix of each working charging pile including user priority, equipment health and power adjustment sensitivity accordingly; Dynamic allocation strategy generation module, which generates a dynamic allocation strategy based on the total output power threshold of the target charging station and the corrected actual output power of each working charging pile through the multi-dimensional load regulation decision matrix; Dynamic reallocation trigger module, when a new charging demand is detected at the target charging station, extracts the required power, allowed charging duration and full-load power of the newly connected device, collects the working data of the working charging pile corresponding to the newly connected device, and automatically triggers the dynamic reallocation of the power budget.

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