Power supply control system for partitioned peak shifting charging of large-scale parking lot

Abstract

The invention discloses a power supply control system for partitioned peak-shifting charging of a large-scale parking lot, particularly relates to the field of peak-shifting charging power supply control, and aims to solve the problems of inter-floor charging resource mismatching and power fluctuation caused by vehicle inrush. A partition pressure coefficient is automatically leveled between power grid fluctuation and traffic flow accumulation, dispatching is conducted to allocate power according to needs all the time, the vacancy of a tension area is rapidly made up, the vacancy of a sufficient area is released, the queuing duration is synchronously converged along with load peak and valley, bus voltage fluctuation is restrained, and a transformer working point stably stays in a safety belt; blind current limiting and capacity waste do not occur any more in the cooperative operation period of the multi-floor different-power gear pile groups, the charging sequence is transparent, the recovery rhythm and the load pulsation are combined, the after-peak margin is supplemented rapidly, the overall utilization rate and the service experience are synchronously improved, stability and expansion redundancy are still kept after long-term operation, and the service life is prolonged. And smooth response can still be realized in case of peak burst traffic flow.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of staggered charging power supply control, more particularly, the present application relates to the power supply control system for large parking lot partition staggered charging. BACKGROUND

[0002] Large stereo parking lot receives a large number of new energy vehicles in the evening peak. Fast charging piles are mostly concentrated on the first floor, and slow charging piles are distributed on the upper floors. The current power supply mode only sets the upper limit of power at the total power supply inlet. Once the total load on site approaches the upper limit, the control platform immediately reduces the output of all charging piles at the same time, but does not detect the specific power consumption of each floor, each partition or single pile in real time. The power consumption of lighting, ventilation, elevator and other equipment fluctuates with time, and the scheduling logic still acts uniformly according to single point value, which is difficult to identify the real demand of each area.

[0003] The first floor fast charging area is the first to exhaust the capacity when the vehicle flow is concentrated. After the total power supply touches the upper limit, the whole field slows down. The upper slow charging area is still forced to slow down although it has surplus. The first floor vehicle charging is delayed, and the waiting line is quickly lengthened. After the peak, the speed reduction command is delayed, the remaining capacity is slowly supplemented, and the power fluctuation appears repeatedly. The root cause is that the control closed loop stays at the total inlet and does not sink to the floor and pile end, lacks partition coordination and dynamic allocation means, cannot solve the local bottleneck, causes resource mismatch, queue expansion and utilization rate decline, and becomes the key obstacle to the deepening application of large parking lot partition staggered charging.

[0004] In order to solve the above problems, a technical scheme is provided. SUMMARY

[0005] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present application provide a power supply control system for large parking lot partition staggered charging, which continuously sketches the power consumption dynamics of each area with the area load diagram, instantaneously locates the bottleneck with the surplus matrix, automatically flattens the partition pressure coefficient between power grid fluctuation and vehicle flow accumulation, always allocates power according to demand, quickly makes up for the vacancy of the tense area and releases the idle capacity of the abundant area, synchronously converges the queue length with the load peak and valley, suppresses the bus voltage fluctuation, and stabilizes the working point of the transformer within the safety belt, so as to solve the problems raised in the background art.

[0006] To achieve the above object, the present application provides the following technical scheme:

[0007] The load mapping unit is used for collecting real-time power, parking space occupation signal and auxiliary load signal of each partition, and generating an area load diagram;

[0008] The surplus matrix unit is used for generating a partition power surplus matrix and marking a dynamic priority based on the area load diagram and the remaining capacity of the main transformer;

[0009] a power limit adjusting and sequencing unit configured to transfer power limit from the abundant zone to the stressed zone and rearrange the vehicle queue when the zone power margin is below the stress threshold;

[0010] a pressure balancing unit configured to generate a zone pressure coefficient based on the grid fluctuation feature and the vehicle flow accumulation feature, dynamically correct the power transfer amount and the vehicle queue order;

[0011] a steady-state output unit configured to monitor the zone power curve until stable and output the power distribution result.

[0012] In a preferred embodiment, the load mapping unit synchronously collects the zone real-time power, parking occupancy signal and public auxiliary load signal of each zone at the vehicle identification stage, combines the collected signals into an ordered sequence containing three components of zone real-time power, parking occupancy signal and public auxiliary load signal according to the zone dimension, and in the case of signal conflict, preferentially selects the latest timestamp reading value and distinguishes consistent components to form a zone load sequence. All zone load sequences are arranged in a multi-row structure according to the zone order to form a regional load graph.

[0013] In a preferred embodiment, the margin matrix unit calculates the zone power margin based on the zone real-time power, public auxiliary load signal and parking occupancy signal of each zone in the regional load graph combined with the remaining capacity of the main transformer, and arranges it into a column vector form to generate a zone power margin matrix. The zones with a margin lower than the average value are marked with a numerical label from high to low to mark the dynamic priority.

[0014] In a preferred embodiment, the power limit adjusting and sequencing unit marks the stressed zone based on the zone power margin matrix, extracts the power limit from the abundant zone according to the dynamic priority and transfers it to the stressed zone, and generates a new order according to the power limit adjustment of the vehicle queue position to be charged.

[0015] In a preferred embodiment, the logic for obtaining the stressed zone is as follows:

[0016] First, calculate the average value of the sum of all elements of the zone power margin matrix divided by the total number of zones, then multiply the average value by the stress coefficient as the stress threshold, and mark the zones corresponding to the elements in the zone power margin matrix that are lower than the stress threshold as stressed zones.

[0017] In a preferred embodiment, the process of extracting the power limit from the abundant zone according to the dynamic priority and transferring it to the stressed zone is as follows:

[0018] Wherein the adequate area refers to the area with a dynamic priority lower than the average priority of the tight area; the sum of all dynamic priorities is calculated as a normalization factor, then the area power margin of each adequate area is multiplied by the ratio of the tight area dynamic priority to the sum, and the sum of all adequate areas is obtained as the power limit value, while the constraint is introduced to make the power limit value not exceed half of the single adequate area margin, and the power is extracted from the adequate area with the lowest dynamic priority first.

[0019] In a preferred embodiment, the pressure balancing unit extracts the power fluctuation feature and the vehicle flow accumulation feature after completing the short period scheduling, wherein the power fluctuation feature includes the power surge amount, and the vehicle flow accumulation feature includes the queue flow blockage amount; the power surge amount and the queue flow blockage amount are constructed into a polar coordinate vector, and a partition pressure coefficient is generated by multiplying the amplitude angle by the modulus length exponential power; the power transfer amount and the vehicle queue order are adjusted in the direction of the partition pressure coefficient.

[0020] In a preferred embodiment, the power surge amount is calculated by the ratio of the maximum second-order difference of the short window power sequence to the predicted slope, which quantifies the short-term fluctuation intensity of the power grid and reveals the instantaneous instability factors of the bus.

[0021] In a preferred embodiment, the queue flow blockage amount is calculated by the difference between the charging completion time of the leading vehicle of the queued vehicle queue and the average entry interval of the subsequent vehicles, and the time difference between adjacent vehicles is accumulated, which quantifies the flow interruption degree in the vehicle flow accumulation and reflects the service pressure and delay risk.

[0022] In a preferred embodiment, the steady-state output unit monitors the partition power curve by instantaneous power time normalization summation, judges the curve stability index by the absolute difference between the current curve and the previous curve divided by the previous curve, and adjusts the iteration number by the curve stability index to execute the power limit sequencing unit and the pressure balancing unit if the curve stability index exceeds the convergence threshold.

[0023] The technical effects and advantages of the power supply control system for large parking lot partition peak-shifting charging of the present application are as follows:

[0024] The present application continuously sketches the dynamic power consumption of each area with the regional load diagram, instantaneously locates the bottleneck with the margin matrix, automatically levels off between the power grid fluctuation and the vehicle flow accumulation with the partition pressure coefficient, always allocates power on demand during scheduling, quickly makes up for the vacancy in the tight area and releases the idle amount in the adequate area, synchronously converges the queuing time with the load peak and valley, suppresses the bus voltage fluctuation, and stabilizes the transformer operating point within the safety belt; during the collaborative operation of the multi-floor different power grade pile groups, blind current limiting and capacity waste no longer occur, the charging order is transparent, the recovery tempo is consistent with the load pulsation, the post-peak margin is quickly replenished, the overall utilization rate and service experience are simultaneously improved, and the long-term operation still maintains stability and expansion margin, and it can still respond smoothly to sudden peak vehicle flow. BRIEF DESCRIPTION OF DRAWINGS

[0025] Figure 1 Structure diagram of the power supply control system for large parking lot partition peak-shifting charging of the application. DETAILED DESCRIPTION

[0026] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by a person of ordinary skill in the art without creative work are within the protection scope of the application.

[0027] Embodiment 1 Figure 1 The power supply control system for large parking lot partition peak-shifting charging of the application is given, comprising:

[0028] A load mapping unit is configured to collect real-time power of each partition, parking space occupation signals and public auxiliary load signals, and generate a regional load diagram.

[0029] A margin matrix unit is configured to generate a partition power margin matrix and mark a dynamic priority based on the regional load diagram and a remaining capacity of a main transformer.

[0030] A power limit sequencing unit is configured to transfer a power limit value from an abundant area to a tense area and rearrange a vehicle queue when a partition power margin is lower than a tight threshold.

[0031] A pressure balance unit is configured to generate a partition pressure coefficient based on grid fluctuation characteristics and vehicle flow accumulation characteristics, and dynamically correct a power transfer amount and a vehicle queue order.

[0032] A steady-state output unit is configured to monitor a partition power curve until stable, and output a power distribution result.

[0033] In a large multi-level parking lot, a large number of new energy vehicles rush in during the evening peak period, causing the load of the first floor rapid charging pile to rise sharply, while the upper slow charging piles may have idle capacity. The current power supply control only relies on the power upper limit of the total power inlet for unified speed reduction, ignoring the specific power consumption differences of each floor and partition, resulting in first floor charging delay and queue extension, and upper resource waste. To solve this problem, the load mapping unit synchronously collects partition data through vehicle identification, forming a regional load diagram, thereby providing real-time and fine-grained load basic data for subsequent margin matrix generation and power allocation. The processing logic of this unit ensures accurate depiction of partition power consumption, avoids the blind area of single monitoring of the total inlet, and realizes early identification of local bottlenecks and basic support for resource coordination.

[0034] The data acquisition link simultaneously acquires the real-time power of each partition, the parking space occupation signal and the public auxiliary load signal in the vehicle identification process, wherein the real-time power of the partition represents the sum of the current output power of all charging piles in the partition, the parking space occupation signal represents the ratio of the number of parking spaces occupied by vehicles in the partition to the total number of parking spaces, and the public auxiliary load signal represents the current power consumption sum of auxiliary equipment such as lighting, ventilation and elevator in the partition. These signals are read in real time through the metering devices installed on the charging piles, parking sensors and auxiliary equipment, and a unified clock protocol is used to ensure that all signals are collected at the same timestamp, avoiding time sequence deviation affecting the accuracy of subsequent integration.

[0035] The initial data set integration combines the acquired real-time power of the partition, the parking space occupation signal and the public auxiliary load signal into an ordered sequence containing three components based on the partition dimension, wherein the first component is the real-time power of the partition, the second component is the parking space occupation signal, and the third component is the public auxiliary load signal. This combination method retains the original value of each signal through direct sequence arrangement, and if there is a signal conflict, such as inconsistent values reported by multiple metering devices in the same partition, the read value with the latest timestamp is selected as the final component, thereby forming a partition load sequence for transmission to the next link of matrix construction.

[0036] The regional load map is generated based on the partition load sequences of all partitions, which are arranged in a multi-row structure according to the partition order, wherein each row corresponds to the partition load sequence of a partition, the first row corresponds to the first partition, and so on until the last partition. This arrangement forms an overall structure by accumulating the sequences row by row, ensuring that the load differences between partitions are independently represented in rows, while introducing an iterative cycle that reacquires and updates all row contents every short period to maintain the dynamic nature of the structure, which is used to provide input basis for the residual matrix unit.

[0037] Through the above steps, the partition division accurately defines the boundary between the first layer as the fast charging dominant area and the upper layer as the slow charging auxiliary area before the late peak traffic rush, forms a partition boundary matrix as the framework of data acquisition of the load mapping unit, avoids the confusion of loads between floors, and ensures the accurate response of the subsequent residual matrix unit to the high load of the first layer and the low occupation of the upper layer.

[0038] The load mapping unit has formed the regional load diagram through the synchronous collection and integration of the vehicle identification link, thereby accurately depicting the distribution pattern of the concentrated load of the first layer of fast charging area when the evening peak traffic flows in and the relatively abundant capacity of the upper layer of slow charging area. However, in order to convert these partition load differences into operational resource allocation basis, the residual matrix unit needs to further analyze the regional load diagram in combination with the residual capacity of the main transformer, generate a partition power residual matrix and mark a dynamic priority, so as to identify the first layer as the priority intervention object of the residual tension area and support the targeted scheduling of power transfer from the upper layer of abundant area.

[0039] Calculate the partition power residual. Before starting the calculation, considering that the partition real-time power, auxiliary load signal and parking space occupation signal contained in the regional load diagram respectively reflect the current state of charging activities, auxiliary equipment consumption and potential expansion space, the sum of these signals directly affects the evaluation of the available capacity of the partition, therefore, it needs to be deducted in combination with the residual capacity of the main transformer. The specific formula is: for partition k, the partition power residual where C main represents the residual capacity of the main transformer, indicating the total amount of unused power of the main transformer at present; n represents the total number of partitions; P rt,k represents the partition real-time power of partition k; S pa,k represents the auxiliary load signal of partition k; O cp,k represents the parking space occupation signal of partition k, indicating the ratio of the number of parking spaces occupied by vehicles in a specific partition to the total number of parking spaces in the partition, this signal is a unitless value, which is used to quantify the space utilization degree of the partition, thereby reflecting the expansion space of potential charging demand, for example, indicating capacity tension in the first layer of fast charging area with high occupancy, and indicating resource idling in the upper layer of slow charging area with low occupancy. First, the residual capacity of the main transformer is evenly distributed to each partition as a reference base capacity, then the total value of the current charging power and auxiliary load of the partition is deducted from it, and the deduction amplitude is adjusted by multiplying by (1-parking space occupation signal). This adjustment takes into account the additional capacity buffer provided by the empty parking spaces, so that the calculation result accurately reflects the low residual of the first layer with high occupancy and the high residual of the upper layer with low occupancy, facilitating the subsequent quantitative comparison and priority determination of the matrix.

[0040] Generate the partition power residual matrix. After calculating the partition power residual of all partitions, these independent values need to be organized into a unified structure to facilitate scanning and bottleneck positioning of the overall distribution, therefore, a vertical arrangement is adopted for integration. The specific formula is: the partition power residual matrix Where each element corresponds to the partition power margin of a partition. By stacking the partition power margins from top to bottom as column vectors according to the partition order number, it is ensured that each row of the matrix accurately corresponds to a partition, facilitating quick extraction, such as the first layer of the lowest margin or the upper layer of the highest margin. This structured organization enables the matrix to maintain a clear partition correspondence relationship even under high peak load fluctuations, thereby providing an efficient access basis for dynamic priority marking and avoiding confusion of scattered data in scheduling.

[0041] Marking dynamic priority. After the formation of the partition power margin matrix, the partitions with tight margins, such as the first layer of fast charging area, need to be sorted and labeled to guide the order of power transfer. Therefore, the average value is introduced as a reference for comparison and counting. The specific formula is: for each element R pow,k in the partition power margin matrix, if then the dynamic priority where I represents the indicator function, taking the value of 1 when the condition is true, and 0 otherwise; first calculate the average value of all partition power margins in the matrix as the judgment threshold, then accumulate the count of partitions below this threshold, and subtract this count from the total number of partitions, thereby generating a high-to-low numerical sequence as the priority, ensuring that the first layer partition with the tightest margin gets the highest label. This labeling mechanism can promote rapid capacity recovery after the end of the peak traffic flow, supporting the power limit sequencing unit to supplement power to the tight area in real time.

[0042] Through the above steps, when the first layer load approaches the upper limit during the evening peak, causing the total power source to touch the threshold, the partition power margin matrix is accurately generated and the dynamic priority is marked, thereby highlighting the intervention needs of the first layer as a tight area and the supply potential of the upper layer as an abundant area, forming a basis that can be directly used for power transfer and vehicle queue adjustment, avoiding resource waste from uniform speed reduction across the field, and ensuring that the overall charging process resumes smoothly after the local bottleneck is resolved.

[0043] The margin matrix unit has generated the partition power margin matrix based on the regional load diagram combined with the remaining capacity of the main transformer, and marked the dynamic priority for the margin tight area, thereby identifying the capacity approaching limit of the first layer fast charging area when the evening peak traffic flows in and the relative abundance of the upper layer slow charging area. However, to timely resolve these local bottlenecks and optimize resource allocation, the power limit sequencing unit needs to monitor the partition power margin matrix. When the margin of a certain partition approaches the tight interval, power limits are allocated from the abundant area to the tight area, and the vehicle queue to be charged is reordered accordingly, to achieve rapid relief of first layer charging delay and effective use of upper layer idle capacity.

[0044] Detecting the tight interval. On the basis that the partition power margin matrix element value reflects the partition available capacity state, the product operation of the tight coefficient is introduced to define the judgment boundary, wherein the tight coefficient is a unitless proportional factor less than one, which is used to reduce the reference capacity formed by the average value of all elements of the partition power margin matrix, thereby generating a tight threshold. The specific operation principle is to first obtain the average value by dividing the sum of all elements of the partition power margin matrix by the total number of partitions, and then multiply the average value by the tight coefficient as the threshold. The partitions corresponding to the elements in the partition power margin matrix that are lower than the threshold are marked as tight partitions. The adaptive recalculation of the average value ensures that the threshold adjusts with the update of the partition power margin matrix when the load fluctuates, while the additional time stamp maintains the persistence of the mark until the next period is refreshed, thereby accurately capturing the signal of the first layer margin drop and avoiding the static threshold ignoring dynamic changes.

[0045] Detecting the tight interval accurately compares the partition power margin matrix element with the dynamically adjusted threshold, and timely identifies the state that the first layer fast charging area will run out of capacity when the late peak traffic surges, thereby preventing the single upper limit of the total power supply inlet from triggering the whole field speed reduction, ensuring that the local bottleneck is intervened early, avoiding unnecessary slowing down of the upper slow charging area, and maintaining the overall power supply continuity.

[0046] Draw power limit transfer. After identifying the tight partition, the margin is extracted from the abundant area with lower dynamic priority, wherein the abundant area refers to the partition with a dynamic priority lower than the average priority of the tight partition. The sum of all dynamic priorities is calculated as a normalization factor, then the partition power margin of each abundant area is multiplied by the ratio of the dynamic priority of the tight partition to the sum, and the sum of all such products of the abundant areas is obtained as the power limit. At the same time, a constraint is introduced to make the power limit not exceed half of the margin of a single abundant area, and the extraction starts from the abundant area with the lowest dynamic priority. This operation ensures proportional and limited allocation, resolves the first layer capacity shortage while protecting the abundant area from being overdrawn.

[0047] The power limit transfer link extracts capacity from the abundant area to the tight area according to the dynamic priority ratio, realizes targeted redistribution of power resources, thereby quickly supplements the first layer capacity vacancy and releases the upper layer idle margin, suppresses the bus voltage fluctuation and accelerates the post-peak capacity recovery, improves the stability of the transformer operating point and the utilization efficiency of the charging process.

[0048] The queue of vehicles to be charged is reordered. After obtaining the power limit, the vehicle positions are adjusted according to the priority of the tight partition, the power limit is divided by the expected charging power demand of each vehicle to obtain an integer number of slots that can be moved forward, then the number of slots is multiplied by the dynamic priority as a weighted adjustment value, and the adjustment value is subtracted from the original queue position of the vehicle to generate a new position, followed by a position uniqueness check to avoid overlap, and a conflict vehicle is resolved according to the first-come-first-served principle, so that the queue is rearranged to match the transfer capacity, the first layer vehicles are preferentially pushed forward when the peak queue is lengthened, and the transparency and stability of the charging order are maintained.

[0049] The queue of vehicles to be charged is reordered. After obtaining the power limit, the vehicle positions are adjusted according to the priority of the tight partition, the power limit is divided by the expected charging power demand of each vehicle to obtain an integer number of slots that can be moved forward, then the number of slots is multiplied by the dynamic priority as a weighted adjustment value, and the adjustment value is subtracted from the original queue position of the vehicle to generate a new position, followed by a position uniqueness check to avoid overlap, and a conflict vehicle is resolved according to the first-come-first-served principle, so that the queue is rearranged to match the transfer capacity, the first layer vehicles are preferentially pushed forward when the peak queue is lengthened, and the transparency and stability of the charging order are maintained.

[0050] Through the above steps, the power limit sequencing unit divides the power limit from the abundant area to the tight area and reorders the queue of vehicles to be charged when the first layer power margin approaches the tight interval, thereby resolving the first layer delay and queue lengthening caused by concentrated traffic flow, ensuring rapid capacity replenishment after the peak and suppressing power fluctuations.

[0051] The power limit sequencing unit has divided the power limit from the abundant area to the tight area and reordered the queue of vehicles to be charged when the partition power margin matrix shows that a certain partition approaches the tight interval, thereby initially alleviating the capacity bottleneck and queue lengthening of the first layer fast charging area during the evening peak traffic flow. However, to address the residual grid fluctuations and traffic accumulation after short-period scheduling, the pressure balancing unit needs to extract the power fluctuation and queue flow resistance to generate a partition pressure coefficient, based on which the power transfer amount and vehicle queue order are dynamically adjusted to suppress transient instability of the bus and traffic accumulation, ensuring that the upper layer slow charging area margin is quickly replenished after the peak and maintaining continuous and stable charging in the partition.

[0052] The grid fluctuation characteristics include the power fluctuation. After the short-period scheduling is completed, the change characteristics of the continuous power points in the short window power sequence are analyzed, where the maximum second-order difference represents the peak value of the sequence acceleration, and the prediction slope represents the linear change trend based on historical fitting. The ratio of these elements can measure the strength of short-term grid fluctuations, specifically by first calculating the first-order difference, i.e., the power difference between adjacent points, from the short window power sequence, then taking the difference of these first-order differences as the second-order difference, and through multiple rounds of scanning, selecting the maximum second-order difference, while fitting the sequence to obtain the prediction slope as the denominator, dividing the maximum second-order difference by the prediction slope to generate the ratio, where the window length is adjusted in inverse proportion to the sequence fluctuation amplitude to adapt to different fluctuation degrees. This operation reveals the factors of transient instability of the bus, such as the supply-side dynamics caused by the fluctuation of auxiliary equipment, avoiding the neglect of acceleration impact by a single difference.

[0053] The power surge amount link measures the short-term fluctuation intensity of the power grid through a ratio operation, directly reveals the instantaneous instability factors of the bus, such as the supply-side dynamics caused by the fluctuation of auxiliary equipment power consumption, thereby suppressing network oscillation when peak traffic surges in, ensuring that scheduling avoids bias and maintains the safety and stability of the transformer operating point.

[0054] The traffic accumulation feature includes the queue flow blockage amount. After the power surge amount is generated, the time structure of the vehicle queue to be charged is processed, where the leading vehicle charging completion time represents the first expected end time, the average vehicle entry interval represents the average time difference of historical vehicle entries, and the cumulative expansion of the time difference between adjacent vehicles quantifies the blockage. Specifically, the initial difference is first calculated by subtracting the average entry interval from the first completion time, then the expected entry time of each pair of adjacent vehicles in the queue is subtracted and all such differences are accumulated to generate the total blockage, where the average entry interval is updated based on the latest historical data every period, and the total blockage is clipped to be non-negative to exclude negative differences interference. This operation accurately reflects the demand-side accumulation, such as the flow interruption caused by the lengthening of the first queue, avoiding the risk of ignoring the overall delay by only calculating the first position.

[0055] The queue flow blockage amount link quantifies the degree of flow interruption in traffic accumulation through difference accumulation, accurately reflects the demand-side service pressure and delay risk, such as accumulation caused by the lengthening of the first queue, thereby releasing traffic blockage after a short period, improving charging order transparency and reducing queue expansion.

[0056] Generate the partition pressure coefficient. After obtaining the power surge amount and the queue flow blockage amount, map them to the polar coordinate space to preserve the amplitude and direction information, where the amplitude angle represents the supply-demand dominant angle and the modulus length represents the overall intensity. The two are combined by exponential weighting, specifically, first take the power surge amount as the horizontal coordinate, divide the queue flow blockage amount by the standard hour benchmark to convert it to a unitless value as the vertical coordinate to construct a vector, then calculate the vector angle as the amplitude angle and the vector length as the modulus length, and generate the partition pressure coefficient by taking the natural exponential power of the amplitude angle multiplied by the modulus length. This operation emphasizes extreme scenarios such as high surge and high blockage by using the smooth response of the exponential base to weight, achieving a responsive and intuitive correction basis for interpretation.

[0057] The partition pressure coefficient link combines the amplitude angle and modulus length by exponential weighting through the polar coordinate vector, preserving the overall pressure amplitude and supply-demand dominant direction information, thereby emphasizing the response to extreme scenarios, achieving controllable adjustment granularity and simultaneously suppressing fluctuations and accumulation, enhancing the continuity and stability of the partition charging process.

[0058] The power transfer quota and vehicle queue order are corrected. After the generation of the partition pressure coefficient, if the partition pressure coefficient exceeds the tolerance band, the previous quota and position are adjusted according to the direction, wherein the sine value dominates the supply side correction, and the cosine value dominates the demand side correction. Specifically, the sine value of the amplitude angle is multiplied by the partition pressure coefficient to generate a new quota from the original power transfer quota, and the cosine value of the amplitude angle is multiplied by the partition pressure coefficient to generate a new position from the original vehicle queue position. The process is iterated until the partition pressure coefficient returns to the tolerance band, wherein the tolerance band boundary is calibrated based on the historical average of the partition pressure coefficient. This operation synchronously suppresses network oscillation and traffic accumulation, rapidly stabilizes the partition after the peak, and improves the continuity of the charging process.

[0059] The correction of the power transfer quota and the vehicle queue order adjusts the quota and the position in the direction, synchronously corrects the supply side and the demand side deviation, and thus rapidly converges the load peak and valley when the partition pressure coefficient exceeds the tolerance band, accelerates the post-peak surplus recovery, and improves the overall utilization rate and service experience.

[0060] Through the above steps, the pressure balancing unit generates a partition pressure coefficient by fusing power fluctuations and traffic accumulation after short-period scheduling, and corrects the power transfer quota and the vehicle queue order accordingly, thereby suppressing bus instability and queue blocking in the scenario of first-layer charging delay and upper-layer surplus idling, ensuring smooth recovery of the power curve after the peak, and improving overall charging continuity.

[0061] The pressure balancing unit has generated a partition pressure coefficient by fusing power fluctuations and queue flow resistance after short-period scheduling, and corrected the power transfer quota and the vehicle queue order accordingly, thereby preliminarily suppressing power fluctuations and traffic accumulation in the first-layer rapid charging area during the late peak. However, to ensure that the multi-story partition completely eliminates power fluctuations after the peak and achieves resource balance, the steady-state output unit needs to continuously execute the power limit sequencing unit and the pressure balancing unit until all partition power curves reach a stable state, and then present the final power allocation result on the monitoring interface to support the long-term stability of the first-layer delay resolution and the upper-layer surplus recovery.

[0062] The partition power curve is monitored. After the adjustment of the power limit sequencing unit and the pressure balancing unit, the weighted sum of the continuous instantaneous power points of each partition power time series is evaluated to assess the curve trajectory, wherein instantaneous power represents the power value at the moment, and the time normalization factor represents the ratio of the moment to the window length. Specifically, the instantaneous power at each moment in the sequence is first collected, then each instantaneous power is multiplied by the ratio of the corresponding moment to the window length, and the sum of all such products is summed to generate a curve value, wherein the window length is inversely proportional to the curve change rate to adapt to different fluctuation amplitudes, and the instantaneous power is subjected to median filtering to remove noise interference. This process captures the accurate trajectory of the power change of the first layer and the upper layer, avoiding the neglect of dynamic trends by static windows.

[0063] Stability of power curve is judged. After the generation of the partition power curve, the difference between the current curve and the previous period curve is judged, wherein the absolute difference represents the absolute value of the subtraction of the values of the two curves, and the previous curve provides a normalized basis as the denominator. These ratios can evaluate the rate of change, specifically by calculating the absolute value of the current partition power curve minus the previous period partition power curve, and then dividing by the previous period partition power curve generation ratio as a curve stability indicator, wherein the convergence threshold is calibrated based on historical indicators every period to adaptively adjust, and all partition curve stability indicators are aggregated into an average value to make a unified judgment. This process accurately identifies the curve flattening signal after the peak fluctuation, avoiding the dominance of a single partition on the global stability.

[0064] The loop is continuously executed. After the curve stability indicator is judged, if the curve stability indicator exceeds the convergence threshold, the adjustment is repeatedly called, wherein the previous iteration number is used as the base, and the integer part of the curve stability indicator multiplied by the magnification factor is used as the increment. These accumulations control the depth of the loop, specifically by first taking the previous iteration number plus one as the base increment, then adding the integer part of the curve stability indicator multiplied by the magnification factor to the base increment to generate a new execution iteration number, wherein the magnification factor is a constant greater than one used to enhance the index-driven, and an upper limit of the execution number is set to constrain the loop, while globally verifying that all partition curve stability indicators simultaneously satisfy the termination condition. This logic ensures that the iteration gradually decreases until equilibrium, avoiding repeated power and promoting post-peak recovery.

[0065] The final power allocation result is presented. After the loop terminates, the adjusted power transfer amount and the vehicle queue order are sorted, wherein the amount represents the transfer power value and the order represents the queue position sequence. These row-by-partition and column-by-row matrices can be intuitively integrated. First, create a multi-row structure in the order of partitions, and place the final power transfer amount in the first column and the final vehicle queue order in the second column of each row to generate an allocation matrix. The matrix is updated and refreshed on the interface based on each short period, and an audit log matrix content with a time stamp is generated. The equilibrium distribution is presented in real time on the monitoring interface, which suppresses capacity waste and enhances long-term stability.

[0066] The above formulas are dimensionless values calculated, and the formulas are obtained by software simulation of a large amount of data to obtain a formula of the most recent real situation. The preset parameters in the formula are set by a person skilled in the art according to the actual situation.

[0067] It should be noted that the system of the present application can be deployed on the device itself to realize embedded application, or can be run on PC or other terminal with user interface, so as to meet various hardware environments and use requirements.

[0068] It is apparent that many modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that the application can be practiced otherwise than specifically described, without departing from the spirit and scope of the application. Accordingly, the disclosure of the above embodiments of the application is intended for purposes of illustration only and is not intended to limit the scope of the application.

[0069] It is to be understood that the phraseology or terminology herein is for the purpose of description and not of limitation, such that the terminology or phraseology used herein is not intended to serve as limiting

[0070] The above description is embodied in the form of specific examples, but the scope of the application is not limited thereto. Any person skilled in the art can easily make modifications or changes without departing from the technical scope of the present application. Accordingly, the scope of the present application should be determined by the following claims.

Claims

1. A power supply control system for large parking lots to partition and stagger charging, characterized by, Comprise: A load mapping unit for collecting real-time power of each subarea, parking space occupancy signal and public auxiliary load signal, and generating a regional load diagram; A margin matrix unit for generating a subarea power margin matrix and marking a dynamic priority based on the regional load diagram and the remaining capacity of the main transformer; A power limit sequencing unit for transferring power limit from the abundant area to the tight area when the subarea power margin is lower than the tight threshold, and rearranging the vehicle queue; A pressure balance unit for generating a subarea pressure coefficient based on the grid fluctuation characteristics and the vehicle flow accumulation characteristics, and dynamically correcting the power transfer amount and the vehicle queue order; A steady-state output unit for monitoring the subarea power curve until stable, and outputting the power distribution result.

2. The power supply control system for large parking lot subarea peak shifting charging according to claim 1, wherein: The load mapping unit synchronously collects the real-time power of each subarea, the parking space occupancy signal and the public auxiliary load signal at the vehicle identification link, combines the collected signals into an ordered sequence containing three components of the real-time power of each subarea, the parking space occupancy signal and the public auxiliary load signal, and in the case of signal conflict, preferentially selects the latest timestamp reading value and distinguishes consistent components to form a subarea load sequence, arranges all subarea load sequences in subarea order into a multi-row structure to form a regional load diagram.

3. The power supply control system for large parking lot subarea peak shifting charging according to claim 2, wherein: The margin matrix unit calculates the subarea power margin based on the real-time power of each subarea in the regional load diagram, the public auxiliary load signal and the parking space occupancy signal combined with the remaining capacity of the main transformer, arranges it into a column vector form to generate a subarea power margin matrix, and marks a dynamic priority with a numerical label from high to low for subareas with a margin lower than the average value.

4. The power supply control system for large parking lot subarea peak shifting charging according to claim 1, wherein: The power limit sequencing unit marks the tight subarea based on the subarea power margin matrix, extracts the power limit from the abundant area to the tight subarea according to the dynamic priority, and generates a new order according to the power limit adjustment of the vehicle queue position.

5. The power supply control system for large parking lot partitioned peak-shifting charging of claim 4, wherein, The logic for obtaining the tight subarea is as follows: First, divide the sum of all elements of the subarea power margin matrix by the total number of subareas to get the average value, then multiply the average value by the tight coefficient as the tight threshold, and mark the subarea corresponding to the element lower than the tight threshold in the subarea power margin matrix as the tight subarea.

6. The power supply control system for large parking lot partitioned peak-shifting charging of claim 4, wherein, The process of extracting the power limit from the abundant area to the tight subarea according to the dynamic priority is as follows: Where the abundant area refers to the subarea with a dynamic priority lower than the average priority of the tight subarea; first calculate the sum of all dynamic priorities as a normalization factor, then multiply the subarea power margin of each abundant area by the ratio of the dynamic priority of the tight subarea to the sum, and sum all such products of the abundant areas to get the power limit, while introducing a constraint that the power limit should not exceed half of the margin of a single abundant area, and preferentially extracting from the abundant area with the lowest dynamic priority.

7. The power supply control system for large parking lot subarea peak shifting charging according to claim 1, wherein: The pressure balancing unit extracts the power fluctuation characteristics and the vehicle flow accumulation characteristics after completing the short-period scheduling, wherein the power fluctuation characteristics include the power surge amount, and the vehicle flow accumulation characteristics include the queue flow resistance amount; the power surge amount and the queue flow resistance amount are constructed into polar coordinate vectors, and the partition pressure coefficient is generated by multiplying the amplitude angle by the modulus length exponential power; and the power transfer amount and the vehicle queue sorting are adjusted according to the direction of the partition pressure coefficient.

8. The power supply control system for large parking lot partitioned peak-shifting charging according to claim 7, characterized in that: The power surge amount is calculated by the ratio of the maximum second-order difference of the short-window power sequence and the predicted slope, which quantifies the short-term fluctuation intensity of the power grid and reveals the instantaneous instability factors of the bus.

9. The power supply control system for large parking lot partitioned peak-shifting charging according to claim 7, characterized in that: The queue flow resistance amount is calculated by the difference between the charging completion time of the leading vehicle of the queued vehicle queue and the average entry interval of the subsequent vehicle, and the time difference between adjacent vehicles is accumulated, which quantifies the flow interruption degree in the vehicle flow accumulation and reflects the service pressure and delay risk.

10. The power supply control system for large parking lot partitioned peak-shifting charging according to claim 1, characterized in that: The steady-state output unit monitors the partition power curve by summing the time-normalized instantaneous power, judges the curve stability index by the absolute difference between the current curve and the previous curve divided by the previous curve, and adjusts the iteration number by the curve stability index if the curve stability index exceeds the convergence threshold to execute the power limit sequencing unit and the pressure balancing unit.

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