Intelligent monitoring and control method and system for charging pile power supply

Abstract

The application relates to the technical field of charging facility power supply monitoring control, and discloses a charging pile power supply intelligent monitoring control method and system, the method comprises the following steps: acquiring pile group operation data and capacity state data of a target charging pile and adjacent charging piles in the same power distribution branch, performing same-time window collection processing on the pile group operation data to obtain pile group fluctuation data; performing fluctuation consistency verification and disturbance source marking according to the pile group fluctuation data to obtain pile group disturbance identification; performing reactive power demand conversion according to the pile group disturbance identification, performing share mapping according to the capacity state data to obtain a capacity share table; generating a pile group compensation instruction according to the capacity share table, adjusting reactive power output according to the pile group compensation instruction, and generating a pile group correction result. The method can realize charging pile group cooperative reactive power compensation control.

Description

Technical Field

[0001] This invention relates to the field of power monitoring and control technology for charging facilities, and in particular to a method and system for intelligent monitoring and control of power supply for charging piles. Background Technology

[0002] Currently, charging piles, as high-power power electronic devices in electric transportation energy replenishment scenarios, are typically connected to the same power distribution branch and operate in parallel. During charging, changes in the active load, reactive power output, and grid voltage fluctuations of the charging piles collectively affect the power quality of the branch. To monitor the operating status of charging piles, some charging scenarios use monitoring and control and data acquisition systems or local control units to collect data such as voltage, current, power factor, and operational alarms from the charging piles, and make power status judgments based on the operating data of individual charging piles.

[0003] In a current technology, charging piles typically determine voltage exceedances, power factor deviations, or harmonic anomalies independently based on their own collected power supply data, and a single-pile controller independently adjusts the reactive power output. This method can perform local adjustments when a single charging pile experiences a significant anomaly. However, in scenarios where multiple charging piles are connected to the same distribution branch, there is a lack of consistency verification of fluctuations within the same time window among the charging piles. When multiple nodes experience similar voltage fluctuations simultaneously, the single-pile controller struggles to distinguish between branch-side disturbances and local pile-end disturbances, easily leading to some charging piles performing reactive power compensation while others maintain their original output state. Furthermore, existing single-pile adjustment methods typically do not allocate reactive power based on the available reactive power capacity of adjacent charging piles, nor do they uniformly schedule the control times of multiple charging piles. When multiple charging piles adjust their reactive power output according to their local judgments, the compensation direction, compensation amount, and execution time of different charging piles may be inconsistent, making it difficult to coordinate the reactive power adjustment results within the same distribution branch.

[0004] Existing technologies suffer from inaccurate coordinated reactive power compensation control for grid disturbances caused by charging pile groups. Summary of the Invention

[0005] This invention provides a method and system for intelligent monitoring and control of charging pile power supply, in order to solve the problem of inaccurate coordinated reactive power compensation control of charging pile groups to grid disturbances in the prior art.

[0006] Firstly, in order to solve the above-mentioned technical problems, the present invention provides a method for intelligent monitoring and control of charging pile power supply, comprising: The system acquires the pile group operation data and capacity status data of the target charging pile and adjacent charging piles within the same power distribution branch, and performs the pile group operation data collection processing within the same time window to obtain the pile group fluctuation data. Based on the fluctuation data of the pile group, the fluctuation consistency between the target node and the adjacent nodes is verified to obtain the node consistency result. The disturbance source is marked according to the node consistency result to obtain the pile group disturbance identifier. Based on the disturbance identifier of the pile group, the reactive power demand of the pile group operation data is converted to obtain the pile group compensation demand, and the capacity status data is mapped to the capacity share table based on the pile group compensation demand. The capacity share table is staggered by time to obtain the pile group compensation instruction; The target charging pile and the adjacent charging piles are controlled to adjust their reactive power output according to the pile group compensation command, and the pile group correction result is generated.

[0007] Secondly, the present invention provides an intelligent monitoring and control system for charging pile power supply, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method described above.

[0008] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described above.

[0009] Compared with the prior art, the present invention has the following beneficial effects: (1) This invention obtains the pile group operation data of the target charging pile and adjacent charging piles in the same power distribution branch, and performs the pile group operation data collection processing in the same time window to obtain the pile group fluctuation data. This enables the charging pile power monitoring process to incorporate the operation fluctuations of multiple nodes in the same power distribution branch into a unified data basis, avoiding the problem of incomplete state cognition caused by only relying on the local sampling results of a single charging pile for disturbance judgment.

[0010] (2) The present invention performs a fluctuation consistency check between the target node and the adjacent nodes based on the fluctuation data of the pile group to obtain the node consistency result, and marks the disturbance source based on the node consistency result to obtain the pile group disturbance identifier, so that the charging pile group can distinguish between grid-side disturbance and local pile end disturbance, reducing the situation of misjudging local anomalies as branch disturbances or branch disturbances as single pile anomalies.

[0011] (3) The present invention generates a charging pile group compensation instruction by converting reactive power demand according to the disturbance identifier of the charging pile group, and performing share mapping and time staggering arrangement according to the capacity status data. This enables the target charging pile and adjacent charging piles in the same distribution branch to perform reactive power output adjustment according to capacity share and control time, thereby improving the accuracy of collaborative compensation control of the charging pile group under grid disturbance. Attached Figure Description

[0012] Figure 1 This is a schematic diagram of a charging pile power intelligent monitoring and control method provided in the first embodiment of the present invention. Detailed Implementation

[0013] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0014] It should be noted that the existing AC / DC rectifiers of charging piles adopt PWM control and have four-quadrant operation capability. They can output active power to the power battery while injecting or absorbing reactive power into the grid according to control commands. The response speed of reactive power regulation of a single pile is usually within 20ms, which can meet the fast response requirements of group control commands and is suitable as a distributed reactive power compensation resource for the distribution network.

[0015] Reference Figure 1 The first embodiment of the present invention provides a method for intelligent monitoring and control of charging pile power supply, including the following steps: S1. Obtain the pile group operation data and capacity status data of the target charging pile and adjacent charging piles in the same power distribution branch, and perform the pile group operation data collection processing in the same time window to obtain the pile group fluctuation data. S2, perform fluctuation consistency verification between the target node and adjacent nodes based on the pile group fluctuation data to obtain node consistency results, and mark the disturbance source based on the node consistency results to obtain pile group disturbance identifier; S3, based on the pile group disturbance identifier, the reactive power demand of the pile group operation data is converted to obtain the pile group compensation demand, and the capacity status data is mapped to the capacity share table based on the pile group compensation demand. S4, stagger the timing of the capacity share table to obtain the pile group compensation instruction; S5, according to the pile group compensation command, control the target charging pile and the adjacent charging pile to adjust the reactive power output, and generate the pile group correction result.

[0016] In step S1, the pile group operation data and capacity status data of the target charging pile and adjacent charging piles in the same power distribution branch are obtained, and the pile group operation data is processed by the same time window to obtain the pile group fluctuation data.

[0017] Specifically, the pile group operation data is aggregated within the same time window to obtain pile group fluctuation data, including: The operation data of the pile group is aligned with the same time window to obtain the operation record of the same window; The node fields of the same window operation record are aggregated to obtain the pile group fluctuation data.

[0018] In one implementation, the target charging pile is the charging pile that triggers voltage fluctuation judgment within the current control cycle, and the adjacent charging piles are charging piles located in the same power distribution branch as the target charging pile and electrically connected to the target charging pile in the power distribution topology table. The charging pile group operation data is the power supply side operation record formed by the target charging pile and the adjacent charging piles within the same control cycle. The charging pile group operation data includes node identifier, sampling timestamp, effective voltage value, effective current value, active power, reactive power, power factor, communication response time, and operation status marker. The capacity status data is a record of the reactive power regulation capacity formed by the target charging pile and the adjacent charging pile within the same control cycle. The capacity status data includes node identifier, rated reactive power capacity, current reactive power margin, allowed adjustment direction, and online status marker. The allowed adjustment direction is the reactive power regulation direction that the charging pile can perform in the current operating state, which is determined in real time by the charging pile controller based on the current DC bus voltage and grid current phase. When the current power factor angle is lagging, the allowed adjustment direction is the reactive power injection direction; when the current power factor angle is leading, the allowed adjustment direction is the reactive power absorption direction; when the current reactive power margin is zero, the allowed adjustment direction is marked as non-adjustable.

[0019] It should be noted that the time window is set to 2 seconds, and each time window contains 100 sampling moments, determined by offline playback of completed charging pile group operation records. During playback, 1 second, 2 seconds, and 5 seconds are set as candidate time windows, and the field completeness rate and disturbance persistence coverage rate within each candidate time window are calculated. The field completeness rate is the proportion of the number of nodes that form complete records of node identifier, sampling timestamp, voltage RMS value, active power, and reactive power within the same time window to the total number of nodes that should be collected. The disturbance persistence coverage rate is the proportion of the number of records that cover the voltage anomaly start segment and anomaly sustaining segment within the same time window to the total number of voltage anomaly records. Statistical analysis of completed charging pile group operation records shows that the 2-second time window achieves the best balance between data completeness and disturbance coverage capability; therefore, the time window is set to 2 seconds.

[0020] When aligning within the same time window, this embodiment first reads the sampling timestamp in the pile group operation data and arranges the operation records of the same node from early to late according to the sampling timestamp; then it reads the start time of the control cycle and divides the pile group operation data after the start time of the control cycle into continuous time windows of 2 seconds; then it writes each pile group operation data into the corresponding time window to obtain the initial time window record. If duplicate sampling records exist for the same node within the same time window, the sampling record with the sampling timestamp closest to the center of that time window is retained. If the same node lacks a single sampling time's effective voltage value within the same time window, the effective voltage values ​​of adjacent sampling times before and after the same node are read and the arithmetic mean is taken to make up the difference. If the same node lacks more than three consecutive sampling times' effective voltage values ​​within the same time window, the node's operating status within that time window is marked as a missing measurement state, and the fluctuation field of that node is excluded during subsequent node field aggregation. When the number of remaining normally sampled nodes after excluding missing measurement nodes still meets the minimum statistical base for determining the branch ratio, the operating records of the remaining normally sampled nodes are used to characterize the pile group fluctuation data to ensure the accuracy of subsequent consistency verification. The minimum statistical base can be determined proportionally based on the total number of nodes in the charging station pile group, for example, not less than one-third of the total number of nodes in the pile group and at least three nodes, to ensure the statistical significance of consistency verification.

[0021] It is worth noting that the criterion for missing more than three consecutive sampling moments is determined by the sampling interval and the fundamental period of the AC power distribution circuit. The sampling interval is 20 milliseconds, and the three sampling moments correspond to 60 milliseconds, covering three consecutive sampling points. The absence of a single sampling point can be reflected by the local change trend through adjacent sampling points. However, the absence of more than three consecutive sampling points will cause the voltage change direction within the same time window to be unstable. Therefore, the absence of more than three consecutive sampling moments is set as the criterion for determining the missing measurement state.

[0022] After obtaining the window operation records, this embodiment performs node field aggregation on the window operation records. Specifically, the window operation records are grouped according to node identifiers, and the effective voltage values ​​of the same node within the same time window are arranged in chronological order to obtain a voltage effective value sequence. The rated voltage of the same node is read, and the effective voltage value at each sampling moment is subtracted from the rated voltage and then divided by the rated voltage to obtain the voltage deviation value. The voltage deviation values ​​at each sampling moment are arranged in chronological order to obtain a voltage deviation sequence. The voltage deviation value at the next sampling moment is compared with the voltage deviation value at the previous sampling moment by algebraic value. If the algebraic value of the voltage deviation value at the next sampling moment is larger, it is recorded as 1; if the voltage deviation values ​​at the next sampling moment are the same, it is recorded as 0; if the algebraic value of the voltage deviation value at the next sampling moment is smaller, it is recorded as -1 to obtain a voltage change direction sequence. Subsequently, the node identifier, time window identifier, voltage deviation sequence, voltage change direction sequence, active power, reactive power, power factor, communication response time, and operation status marker are written into the same node fluctuation record to obtain pile group fluctuation data.

[0023] For example, within a 2-second time window, target charging pile A generates 100 effective voltage values ​​at sampling moments. The rated voltage is 220 volts. If the effective voltage value at a certain sampling moment is 209 volts, subtracting 220 volts from 209 volts yields -11 volts. Dividing -11 volts by 220 volts gives a voltage deviation of -0.05 at that sampling moment. If the voltage deviation at a later sampling moment is -0.06, then the voltage deviation at the later sampling moment is less than the voltage deviation at the previous sampling moment, and the corresponding voltage change direction value is recorded as -1. After arranging the 100 sampling moments, a node fluctuation record for charging pile A within that time window is formed. Adjacent charging piles B and C generate node fluctuation records in the same way, and the three node fluctuation records are jointly written into the pile group fluctuation data.

[0024] In step S2, the consistency of the fluctuation between the target node and its adjacent nodes is verified based on the fluctuation data of the pile group to obtain the node consistency result. The disturbance source is marked based on the node consistency result to obtain the pile group disturbance identifier.

[0025] Specifically, based on the pile group fluctuation data, the fluctuation consistency between the target node and its adjacent nodes is verified to obtain the node consistency result, including: From the pile group fluctuation data, extract the voltage deviation sequence and voltage change direction sequence within the same time window to generate the target node fluctuation vector and the adjacent node fluctuation vector set; Calculate the cosine similarity between the target node fluctuation vector and the fluctuation vectors of adjacent nodes in the set of adjacent node fluctuation vectors to obtain a node similarity sequence; Based on the pile group fluctuation data, the line impedance distance is located in the pre-constructed power distribution topology table to obtain the node distance sequence; A distance decay sequence is generated based on the node distance sequence, and the node similarity sequence is corrected based on the distance decay sequence to obtain the node consistency result.

[0026] In one implementation, the target node fluctuation vector is the numerical expression of the fluctuation of the target charging pile within the same time window, and the adjacent node fluctuation vector set is the set of numerical expressions of the fluctuation of adjacent charging piles within the same time window. When generating the target node fluctuation vector, this embodiment reads the voltage deviation sequence and voltage change direction sequence corresponding to the target node, performs absolute value normalization on the voltage deviation sequence, maps the voltage deviation value to the interval from -1 to 1, and then writes the normalized voltage deviation value and voltage change direction value at the same sampling time into the same vector in chronological order to form the target node fluctuation vector. When generating the adjacent node fluctuation vector set, this embodiment performs the same writing process for each adjacent node, obtaining multiple adjacent node fluctuation vectors, and arranges the multiple adjacent node fluctuation vectors according to the adjacent node identifier to form the adjacent node fluctuation vector set.

[0027] It should be noted that the voltage deviation value reflects the degree of deviation of the voltage from the rated voltage within the same time window, while the voltage change direction value reflects the trend of the voltage deviation within the same time window. After writing the voltage deviation sequence and the voltage change direction sequence together into the fluctuation vector, the fluctuation consistency check reads both the deviation magnitude and the change direction simultaneously, and will not form a consistency mark simply because the voltage values ​​of a single sampling point are close.

[0028] This embodiment uses cosine similarity to calculate the similarity between the target node's fluctuation vector and the fluctuation vectors of adjacent nodes. First, the values ​​at the same positions of the two fluctuation vectors are multiplied term by term, and then all products are added together to obtain the vector dot product. The lengths of the two fluctuation vectors are calculated separately; the length is the square root of the sum of the squares of all values ​​in the vectors. The vector dot product is then divided by the product of the two vector lengths to obtain the cosine similarity of the corresponding adjacent nodes. When the lengths of both fluctuation vectors are 0, the cosine similarity is recorded as 1; when one of the two fluctuation vectors has a length of 0 and the other has a non-zero length, the cosine similarity is recorded as 0. This process is repeated for each adjacent node fluctuation vector in the adjacent node fluctuation vector set to obtain a node similarity sequence. The node similarity sequence includes the adjacent node identifier and the corresponding cosine similarity.

[0029] In one implementation, the pre-built power distribution topology table is generated during the equipment filing stage after the charging piles are connected to the power distribution branch. The node identifier, upstream connection node, downstream connection node, line segment number, and line segment impedance test record of each charging pile within the power distribution branch are read, and these fields are written into the same topology record table. The line segment impedance test record is obtained by applying a low-voltage test signal to the line segment using on-site testing equipment. The voltage amplitude of the power frequency AC test signal does not exceed 50V, and the test frequency is 50Hz. During the test, both ends of the line segment are disconnected from the charging pile equipment. The resistance and reactance values ​​of the line segment are calculated by measuring the voltage and current amplitudes under the test signal. The impedance value of the line segment is obtained by taking the square root of the sum of the squares of the resistance and reactance values. The record includes the resistance and reactance values ​​of the line segment, and the line impedance value of each line segment is calculated by combining the resistance and reactance values. The power distribution topology table is rewritten after a charging pile node is added, the branch wiring is changed, or the line segment impedance is retested.

[0030] When locating the line impedance distance in a pre-constructed distribution topology table based on the pile group fluctuation data, this embodiment reads the target node identifier and adjacent node identifiers, and retrieves the connection path between the target node and the adjacent node in the distribution topology table; then, it reads the impedance value of the line segment on the connection path, adds the impedance values ​​of each line segment, and obtains the line impedance distance between the target node and the adjacent node. This process is repeated for all adjacent nodes to obtain a node distance sequence. The node distance sequence includes the adjacent node identifier and the corresponding line impedance distance.

[0031] This embodiment generates a distance attenuation sequence based on the node distance sequence. Specifically, first, the reciprocal of the line impedance distance for each node in the node distance sequence is read to obtain an impedance reciprocal sequence; then, the maximum value in the impedance reciprocal sequence is read, and each reciprocal value in the impedance reciprocal sequence is divided by the maximum value to obtain the distance attenuation sequence. The distance attenuation value corresponding to the nearest neighboring node is 1, and the distance attenuation value corresponding to the neighboring node with a larger line impedance distance is less than 1. Subsequently, according to the neighboring node identifier, the distance attenuation value in the distance attenuation sequence is multiplied item by item by the cosine similarity in the node similarity sequence to obtain a corrected consistency score. The neighboring node identifier and the corresponding corrected consistency score are written into the same result table to obtain the node consistency result.

[0032] For example, target node A has two neighboring nodes B and C. The line impedance distance between target node A and neighboring node B is 0.08 ohms, and the line impedance distance between target node A and neighboring node C is 0.16 ohms. After reading the reciprocal of the line impedance distance, neighboring node B corresponds to 12.5, and neighboring node C corresponds to 6.25. Taking 12.5 as the maximum value in the impedance reciprocal sequence, the distance attenuation value of neighboring node B is 1, and the distance attenuation value of neighboring node C is 0.5. If the cosine similarity between target node A and neighboring node B is 0.90, and the cosine similarity between target node A and neighboring node C is 0.88, to more smoothly reflect the attenuation effect of line impedance on fluctuation transmission, the mapping relationship of the distance attenuation value is adjusted to square root attenuation, that is, the distance attenuation value of neighboring node C is approximately 0.71. Then the corrected consistency score of neighboring node B is 0.90, and the corrected consistency score of neighboring node C is 0.88 × 0.71 ≈ 0.62. It should be noted that the distance attenuation results here are only a simplified numerical example to intuitively demonstrate the calculation process. In practical applications, the mapping rule for the distance attenuation coefficient can be smoothly configured according to the actual physical attenuation characteristics of the waveform amplitude based on the line impedance, and is not limited to a linear ratio. The neighboring node B and 0.90, and the neighboring node C and 0.62 are written into the results table to obtain the node consistency results.

[0033] The disturbance source is marked based on the node consistency results to obtain the pile group disturbance identifier, including: The pile group fluctuation data is marked with nodes that exceed the limit to obtain a set of nodes that exceed the limit; Based on the node consistency results, the set of nodes exceeding the limit is filtered for consistent nodes in the same direction to obtain the set of branch disturbance nodes. Based on the set of branch disturbance nodes, the over-limit direction is aggregated to obtain the voltage over-limit direction; When the set of branch disturbance nodes meets the preset branch proportion condition, the disturbance source is marked as grid-side disturbance; when there are nodes in the set of over-limit nodes that have not entered the set of branch disturbance nodes, the disturbance source is marked as local pile-end disturbance. The sources of disturbance and the directions of voltage exceeding limits are identified and merged to generate a disturbance identifier for the pile group.

[0034] In one implementation, a node exceeding the limit is marked when the node voltage deviation exceeds the allowable boundary within the same time window. The allowable boundary is 7% of the rated voltage, which complies with the requirements of the GB / T12325 standard "Power Quality - Supply Voltage Deviation" for the voltage deviation limit of electrical equipment terminals, and is a common preset protection value at the factory of the charging pile. This embodiment reads the voltage deviation sequence of each node within the same time window. When the absolute value of the voltage deviation of the same node is greater than 0.07 for three consecutive sampling times, the node is written into the exceeding-limit node set. The exceeding-limit node set includes a node identifier, a time window identifier, and an exceeding-limit direction marker. The exceeding-limit direction marker includes upper and lower exceeding limits; a voltage deviation value greater than 0.07 is recorded as an upper exceeding limit, and a voltage deviation value less than -0.07 is recorded as a lower exceeding limit.

[0035] It should be noted that the screening of consistent nodes in the same direction reads the set of nodes exceeding the limit and the node consistency results. During screening, the direction of the target node exceeding the limit in the set of nodes exceeding the limit is read first, and then the direction of the target node exceeding the limit and the corrected consistency score are read for each adjacent node. When the direction of the target node exceeding the limit is the same as the direction of the adjacent node exceeding the limit, and the corrected consistency score is not lower than 0.80, the adjacent node is written into the branch disturbance node set; at the same time, the target node is written into the branch disturbance node set. The 0.80 is the consistency threshold value, which is calibrated by selecting no less than 50 sets of grid-side disturbance samples and local pile-end disturbance samples for offline comparison, with the maximum Youden index (true positive rate minus false positive rate) as the target. In practical applications, this threshold value can be adaptively adjusted within a reasonable range according to the specific power quality requirements of the target distribution network.

[0036] This embodiment performs over-limit direction aggregation based on the branch disturbance node set. Specifically, it reads the over-limit direction markers of each node in the branch disturbance node set, and counts the number of upper and lower over-limit nodes. When the number of upper over-limit nodes is greater than the number of lower over-limit nodes, the voltage over-limit direction is recorded as upper over-limit. When the number of lower over-limit nodes is greater than the number of upper over-limit nodes, the voltage over-limit direction is recorded as lower over-limit. When the number of upper over-limit nodes is equal to the number of lower over-limit nodes, it reads the over-limit direction marker of the target node and writes the over-limit direction marker of the target node as the voltage over-limit direction.

[0037] The preset branch proportion condition is set as follows: the number of nodes in the branch disturbance node set accounts for no less than two-thirds of the number of nodes in the over-limit node set. This proportion is determined by statistically analyzing the disturbance source tags of completed operation records. During the statistical analysis, grid-side disturbance samples and local pile-end disturbance samples are read, and the proportion of the number of nodes in the branch disturbance node set to the number of nodes in the over-limit node set is calculated respectively. One-half, two-thirds, and three-quarters are set as candidate proportion conditions. Under each candidate proportion condition, the proportion of grid-side disturbance samples that are correctly labeled and the proportion of local pile-end disturbance samples that are incorrectly labeled as grid-side disturbances are calculated. The candidate proportion condition corresponding to the maximum value of the difference between the correctly labeled proportion and the incorrectly labeled proportion is read. In the statistical results, the difference corresponding to two-thirds is the largest, so the branch proportion condition is set to two-thirds.

[0038] When the set of branch disturbance nodes meets the preset branch proportion condition, this embodiment marks the disturbance source as grid-side disturbance. When there are nodes in the over-limit node set that have not entered the branch disturbance node set, this embodiment marks the disturbance source of the corresponding node as local pile-end disturbance. If grid-side disturbance and local pile-end disturbance exist simultaneously within the same time window, the pile group disturbance identifier is written with grid-side disturbance record and local pile-end disturbance record respectively. Finally, the disturbance source, voltage over-limit direction, time window identifier, target node identifier, branch disturbance node set, and over-limit node set are written into the same identifier record to generate a pile group disturbance identifier.

[0039] For example, within a certain time window, the set of nodes exceeding the limit includes target node A, adjacent node B, and adjacent node C. The exceeding directions of target node A, adjacent node B, and adjacent node C are all lower exceeding limits. In the node consistency results, the corrected consistency score of adjacent node B is 0.90, and the corrected consistency score of adjacent node C is 0.44. Since the exceeding direction of adjacent node B is consistent with that of target node A, and the corrected consistency score is not lower than 0.80, target node A and adjacent node B are written into the branch disturbance node set. The corrected consistency score of adjacent node C is lower than 0.80, and it is not written into the branch disturbance node set. At this time, the number of nodes in the branch disturbance node set is 2, and the number of nodes in the exceeding limit node set is 3, with a ratio of two-thirds, which meets the preset branch proportion condition. The disturbance source is marked as grid-side disturbance; adjacent node C is also marked as a local pile-end disturbance node. The voltage exceeding direction is grouped into lower exceeding limits. In this embodiment, grid-side disturbances, lower limit exceedances, simultaneous time window identifiers, target node A, target node A and adjacent node B are written into the pile group disturbance identifier, and adjacent node C is written into the local pile end disturbance record.

[0040] In step S3, the reactive power demand of the pile group operation data is converted according to the pile group disturbance identifier to obtain the pile group compensation demand, and the capacity status data is mapped according to the pile group compensation demand to obtain the capacity share table.

[0041] Specifically, the reactive power demand of the pile group operation data is converted based on the pile group disturbance identifier to obtain the pile group compensation demand, including: Based on the disturbance identifier of the pile group, the disturbance time window is located and obtained; The disturbance power field within the disturbance time window is read from the pile group operation data to obtain the disturbance power record; The reactive power demand is obtained by converting the disturbance power record into reactive power difference. The reactive power demand is directionally marked according to the voltage over-limit direction to obtain the pile group compensation demand.

[0042] In one implementation, the disturbance time window is the time interval corresponding to the time window identifier recorded in the pile group disturbance identifier; the pile group disturbance identifier includes a time window identifier, disturbance source, voltage over-limit direction, branch disturbance node set, and over-limit node set. In this embodiment, the time window identifier in the pile group disturbance identifier is read, and the operation record with the same time window identifier is retrieved from the pile group operation data to obtain the disturbance time window. If the same pile group disturbance identifier corresponds to multiple consecutive time window identifiers, the interval between the start time of the earliest time window and the end time of the latest time window is written as the disturbance time window.

[0043] This embodiment reads the disturbance power field within the disturbance time window from the pile group operation data. The disturbance power field includes node identifier, active power, reactive power, and power factor. During reading, the pile group operation data within the disturbance time window is first grouped according to the node identifier; then, the arithmetic mean of the active power, reactive power, and power factor of each node within the disturbance time window is calculated; finally, the node identifier, average active power, average reactive power, and average power factor are written into the same record to obtain the disturbance power record. If a node is marked as missing during the disturbance time window, that node is not written into the disturbance power record.

[0044] It should be noted that the reactive power difference is converted and read from the disturbance power record and the power factor target value. The power factor target value is set to 0.95, which meets the standard requirements for power user power factor assessment in the "Electricity Supply Business Rules". In actual operation, this target value can be preset to other values, such as 0.90 or 0.98, according to local power grid requirements or charging station operation strategies. This embodiment does not limit this.

[0045] When performing reactive power difference conversion, this embodiment reads the average active power and average power factor of each node; reads the current power angle based on the average power factor, and reads the target power angle based on the target power factor value; multiplies the average active power by the tangent of the current power angle to obtain the current theoretical reactive power; multiplies the average active power by the tangent of the target power angle to obtain the target theoretical reactive power; calculates the difference between the current theoretical reactive power and the target theoretical reactive power, and takes the absolute value of the difference to obtain the reactive power demand of a single node; and accumulates the reactive power demand of all nodes in the disturbance power record to obtain the reactive power demand.

[0046] It is worth noting that the voltage over-limit direction is derived from the result of over-limit direction aggregation based on the branch disturbance node set in the preceding steps. When marking the direction of the reactive power demand, if the voltage over-limit direction is the lower over-limit, the reactive power demand is marked as the reactive power injection direction; if the voltage over-limit direction is the upper over-limit, the reactive power demand is marked as the reactive power absorption direction. The reactive power demand, compensation direction, disturbance time window, and branch disturbance node set are written into the same demand record to obtain the pile group compensation demand.

[0047] For example, a certain disturbance time window includes target charging pile A, adjacent charging pile B, and adjacent charging pile C. The average active power of the three charging piles are 60 kW, 40 kW, and 30 kW, respectively, and their average power factors are 0.88, 0.90, and 0.92, respectively. The target power factor value is 0.95. After reading the power angle based on each average power factor and the target power factor value and performing reactive power difference conversion, this embodiment obtains the single-node reactive power demand of the three charging piles as 12.66 kVAR, 6.23 kVAR, and 2.92 kVAR, respectively. Summing up the above demand values, the reactive power demand is 21.81 kVAR. If the voltage over-limit direction is the lower over-limit, then 21.81 kVAR is marked as the direction of reactive power injection, thus obtaining the pile group compensation demand.

[0048] Specifically, a capacity share table is obtained by mapping the capacity status data to a share based on the pile group compensation requirements, including: The compensation piles are selected based on the capacity status data to obtain a set of compensation piles; The capacity of the compensation pile set is sorted according to the capacity status data to obtain a capacity sequence; Based on the compensation requirements of the pile group, the capacity sequence is allocated by capacity proportion to obtain an initial share table; The initial share table is narrowed and corrected based on the capacity status data to obtain the capacity share table.

[0049] In one implementation, the capacity status data includes node identifier, rated reactive power capacity, current reactive power margin, allowed adjustment direction, and online status marker. The current reactive power margin is the absolute value of the difference between the rated reactive power capacity and the current actual reactive power output. During the selection of compensation piles, this embodiment reads the compensation direction from the pile group compensation requirements and reads the capacity status data line by line. When the online status marker is online, the current reactive power margin is greater than zero, and the allowed adjustment direction is consistent with the compensation direction, the corresponding node is written into the compensation pile set. When the online status marker is offline, the current reactive power margin is equal to zero, or the allowed adjustment direction is inconsistent with the compensation direction, the corresponding node is not written into the compensation pile set.

[0050] This embodiment sorts the compensation pile set according to capacity status data. During sorting, the current reactive power reserve of each node in the compensation pile set is read and arranged from largest to smallest to obtain a capacity sequence. If two nodes have the same current reactive power reserve, their rated reactive power capacities are read, and the node with the larger rated reactive power capacity is placed first. If both the current reactive power reserve and rated reactive power capacity of two nodes are the same, they are arranged in lexicographical order according to their node identifiers.

[0051] When allocating capacity by proportion, this embodiment reads the current reactive power reserve of all nodes in the capacity sequence and sums them to obtain the total reactive power reserve. If the reactive power demand in the pile group compensation requirement is not greater than the total reactive power reserve, the reactive power demand is allocated to each node according to the proportion of each node's current reactive power reserve to the total reactive power reserve, resulting in an initial share table. If the reactive power demand is greater than the total reactive power reserve, the current reactive power reserve of each node is written as the node's initial share, resulting in an initial share table, including the node identifier, compensation direction, and initial reactive power share.

[0052] During the limit correction, this embodiment reads the initial reactive power share from the initial share table and the current reactive power margin and rated reactive power capacity of the corresponding node from the capacity status data. If the initial reactive power share is not greater than the current reactive power margin and not greater than the rated reactive power capacity, the initial reactive power share is retained. If the initial reactive power share is greater than the current reactive power margin, the current reactive power margin is written as the corrected reactive power share. If the initial reactive power share is greater than the rated reactive power capacity, the rated reactive power capacity is written as the corrected reactive power share. After all nodes have completed the limit correction, the node identifier, compensation direction, corrected reactive power share, current reactive power margin, and capacity sorting number are written into the same table to obtain the capacity share table.

[0053] For example, the reactive power demand in the charging pile group compensation requirement is 21.81 kV, and the compensation direction is the reactive power injection direction. In the capacity status data, the current reactive power reserve of charging pile A is 20 kV, the current reactive power reserve of charging pile B is 15 kV, the current reactive power reserve of charging pile C is 10 kV, and so on, accumulating to 45 kV. Based on the proportion of the current reactive power reserve, charging pile A receives 9.69 kV (21.81 × 20 / 45), charging pile B receives 7.27 kV, and charging pile C receives 4.85 kV. Since none of these shares exceed the corresponding current reactive power reserve, 9.69 kV, 7.27 kV, and 4.85 kV are written into the capacity share table.

[0054] In step S4, the capacity share table is staggered according to time to obtain the pile group compensation instruction, including: The set of nodes participating in compensation is determined based on the capacity share table; The communication response is extracted from the operation data of the pile group to obtain the communication response record; The set of participating compensation nodes is marked with delay based on the communication response records to obtain a delay mark table; Based on the delay marker table, the advance calculation is performed to obtain the local execution timetable; The instructions are encapsulated based on the local execution timetable and the capacity share table to obtain the pile group compensation instructions.

[0055] In one implementation, the set of participating compensation nodes is the set of nodes in the capacity share table whose corrected reactive power share is greater than zero. In this embodiment, the capacity share table is read line by line. If the corrected reactive power share of a certain node is greater than zero, the node identifier of that node is written into the set of participating compensation nodes; if the corrected reactive power share of a certain node is equal to zero, that node is not written into the set of participating compensation nodes.

[0056] The communication response record is a round-trip communication record between the main control unit and the participating compensation nodes. In this embodiment, when extracting the communication response from the pile group operation data, the communication message records within the previous 30 consecutive seconds of the current control cycle are read. These communication message records include the node identifier, command issuance time, confirmation return time, and message verification status. The 30 consecutive seconds are determined by the communication log rolling buffer length. The communication controller writes a heartbeat message record every 2-second control cycle. 30 seconds contains 15 control cycles, which can cover short-term communication fluctuations. If the message verification status is successful, the single response duration is obtained by subtracting the command issuance time from the confirmation return time; if the message verification status is unsuccessful, the communication message record is not read. The median of multiple single response durations for the same node is taken to obtain the communication response record for that node.

[0057] It should be noted that the median reading process involves arranging multiple single response durations of the same node in ascending order of value. When the number of records is odd, the value at the middle position is read; when the number of records is even, the arithmetic mean of the two middle values ​​is read. Using the median ensures that a single abnormal message will not directly alter the node's communication response record.

[0058] This embodiment performs delay marking on the set of participating compensation nodes based on the communication response records. Specifically, the node identifiers in the set of participating compensation nodes are read one by one, and the same node identifier is searched in the communication response records. If a communication response record is found, it is written as the delay mark for that node. If no communication response record is found, the maximum value of the existing delay marks in the set of participating compensation nodes is read and written as the delay mark for that node. If no communication response records are found in the set of participating compensation nodes, the pile group compensation command in the current control cycle is marked as pending issuance. After completing the delay marking, a delay mark table is obtained. The delay mark table includes node identifiers and delay marks.

[0059] In this embodiment, the unified trigger time is first determined during the lead time calculation. The unified trigger time is the time after the main control unit generates the charging pile compensation command, taking into account the maximum delay marker of the participating compensation nodes and the controller processing time. The controller processing time is set to 0.04 seconds, determined by the charging pile controller's self-test record. During self-test, the controller continuously records the time from receiving the reactive power control quantity to the inverter control parameters being updated 100 times, and reads the 95th percentile of the 100 records to obtain 0.04 seconds. Subsequently, this embodiment subtracts the delay marker and controller processing time of each node from the unified trigger time to obtain the local execution time for each node. If the local execution time is earlier than the sum of the current time and the node's delay marker, the unified trigger time is postponed by a 2-second control cycle, and the lead time calculation is re-performed. After all nodes have completed the calculation, a local execution time table is obtained.

[0060] It should be noted that after generating the charging pile compensation command, the main control unit does not send the command to all nodes at the unified trigger time. Instead, it calculates the sending time of each command based on the delay flag of each node and the local execution time, and sends them out in advance according to each sending time to ensure that each command arrives at the corresponding charging pile controller before its local execution time.

[0061] It is worth noting that in this embodiment, the staggered scheduling means that the arrival time of instructions and the local execution time of different nodes are scheduled separately, and the reactive power share in the capacity share table does not change. The local execution time table includes node identifier, local execution time, delay flag and unified trigger time.

[0062] During instruction encapsulation, this embodiment reads the node identifier, compensation direction, and corrected reactive power share from the capacity share table, and reads the local execution time from the local execution time table. The node identifier, compensation direction, corrected reactive power share, local execution time, and unified trigger time of the same node are written into the same instruction record. All instruction records are then arranged according to the node identifier, and the instruction batch number and verification field are written to obtain the pile group compensation instruction. The verification field is obtained by performing cyclic redundancy check on all bytes of the instruction record. The cyclic redundancy check uses standard CRC-16 / IBM, cyclic redundancy check -16 bits / IBM polynomial, with an initial value of zero and no input-output reversal.

[0063] For example, in the capacity share table, the corrected reactive power shares of charging pile A, charging pile B, and charging pile C are 9.69 kVAR, 7.27 kVAR, and 4.85 kVAR, respectively. The current time is 10:00:00:00.000. In the communication response record, the delay marker for charging pile A is 0.020 seconds, the delay marker for charging pile B is 0.050 seconds, and the delay marker for charging pile C is 0.030 seconds. The maximum delay marker is 0.050 seconds, the controller processing time is 0.040 seconds, and the unified trigger time record is 10:00:00:090. The local execution time for charging pile A is 10:00:00:030 seconds, the local execution time for charging pile B is 10:00:00:00.000 seconds, and the local execution time for charging pile C is 10:00:00:020 seconds. Because the local execution time of charging pile B, i.e., 00.000 seconds, is earlier than the sum of the current time and the delay flag of that node, i.e., 00.000 seconds plus 0.050 seconds, the delay mechanism is triggered, and the trigger time is uniformly delayed by a 2-second control cycle to 10:00:02.090 seconds. The recalculated local execution time of charging pile B becomes 10:00:02.000 seconds. The above recalculated local execution time and the corresponding corrected reactive power share are written into the same batch to obtain the charging pile group compensation instruction.

[0064] In step S5, the target charging pile and the adjacent charging piles are controlled to adjust their reactive power output according to the pile group compensation command, generating a pile group correction result, including: The pile group compensation command is parsed to obtain the execution field set; Based on the execution field set, reactive power control quantities are issued to the target charging pile and the adjacent charging pile to obtain the output execution record; Collect the execution feedback data corresponding to the output execution record, collect the power factor status based on the execution feedback data, and generate pile group correction results.

[0065] In one implementation, the execution field set is the set of fields in the pile group compensation instruction corresponding to the reactive power control action of a single charging pile. In this embodiment, when parsing the pile group compensation instruction, the instruction batch number and verification field are first read, and a cyclic redundancy check is performed on the pile group compensation instruction. If the check passes, each instruction record is read again; if the check fails, the pile group compensation instruction is written to the abnormal instruction record. When reading the instruction record, the node identifier, compensation direction, corrected reactive power share, local execution time, and unified trigger time are read respectively, and these fields are written into the execution field set.

[0066] In this embodiment, reactive power control quantities are issued to the target charging pile and the adjacent charging piles based on the execution field set. During issuance, the execution field set is first assigned to the corresponding charging pile controller according to the node identifier; then, the reactive power control quantity is generated based on the compensation direction and the corrected reactive power share. If the compensation direction is reactive power injection, the corrected reactive power share is written as a positive reactive power control quantity; if the compensation direction is reactive power absorption, the corrected reactive power share is written as a reverse reactive power control quantity. When the local execution time arrives, the charging pile controller writes the reactive power control quantity to the inverter control register and records the register write time, node identifier, reactive power control quantity, and execution status to obtain the output execution record. The execution status includes "written" and "not written". If the register write is not completed after the local execution time arrives, the execution status is recorded as "not written".

[0067] It should be noted that the execution feedback data refers to the power supply-side feedback record collected after the output execution record is formed. In this embodiment, the execution feedback data is collected within a 2-second observation window after the unified trigger moment, and the 2-second observation window has the same length as the time window. The execution feedback data includes node identifier, feedback timestamp, active power, reactive power, effective voltage value, and power factor. After collection, this embodiment groups the execution feedback data according to the node identifier and calculates the average power factor, average voltage deviation, and average reactive power of each node within the 2-second observation window to obtain the node feedback status.

[0068] This embodiment collects power factor status based on the execution feedback data. Specifically, it reads the average power factor from the node feedback status and the target power factor value of 0.95. When the average power factor of each node in the compensation node set is not lower than 0.95 and the absolute value of the average voltage deviation is not greater than 0.07, the corresponding node's correction status is written as corrected. When there is a node with an average power factor lower than 0.95 or an absolute value of the average voltage deviation greater than 0.07, the corresponding node's correction status is written as pending correction, a local abnormal alarm record is generated, and the node is used as the target charging pile for the next control cycle to trigger a new round of compensation control. Subsequently, the node identifier, average power factor, average voltage deviation, average reactive power, correction status, unified trigger time, and instruction batch number are written into the same result record to generate the charging pile group correction result.

[0069] It is worth noting that the criterion for an average voltage deviation absolute value not exceeding 0.07 is consistent with the allowable boundary used in the node over-limit marking. The power factor target value of 0.95 is consistent with the power factor target value used in reactive power demand conversion. These two values ​​have already been objectively determined in the preceding steps and will not be determined again in this step.

[0070] For example, in the charging pile group compensation command, the compensation direction of charging pile A is the reactive power injection direction, the corrected reactive power share is 9.69 kV, and the local execution time is 10:00:00:030. The charging pile controller writes 9.69 kV into the inverter control register at 10:00:00:030 and forms an output execution record. Within a 2-second observation window after the unified trigger time, the average power factor of charging pile A is 0.96, and the absolute value of the average voltage deviation is 0.04; the average power factor of charging pile B is 0.95, and the absolute value of the average voltage deviation is 0.05; the average power factor of charging pile C is 0.94, and the absolute value of the average voltage deviation is 0.06. In this embodiment, the correction status of charging piles A and B is written as "corrected," and the correction status of charging pile C is written as "to be corrected." The node identifier, average power factor, average voltage deviation, average reactive power, correction status, and command batch number of the three charging piles are written into the charging pile group correction result.

[0071] In summary, this invention achieves disturbance source identification, reactive power compensation share allocation, and multi-pile collaborative control for charging pile groups within the same power distribution branch by simultaneously collecting and processing the operational data of target charging piles and adjacent charging piles within the same time window. Based on this data, it performs consistency verification of the fluctuations between the target node and adjacent nodes to obtain node consistency results. Disturbance sources are marked using these consistency results to generate a charging pile group disturbance identifier. Reactive power demand is then converted and capacity share is mapped based on the disturbance identifier to obtain a capacity share table. Finally, the capacity share table is time-staggered to generate charging pile group compensation instructions. These instructions are then used to control the target charging piles and adjacent charging piles to adjust their reactive power output.

[0072] The second embodiment of the present invention provides an intelligent monitoring and control system for charging pile power supply, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the method described above.

[0073] It should be noted that the intelligent monitoring and control system for charging pile power provided in this embodiment of the invention is used to execute all the process steps of the intelligent monitoring and control method for charging pile power in the above embodiment. The working principles and beneficial effects of the two are one-to-one, so they will not be described again.

[0074] It should be noted that the system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0075] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A method for intelligent monitoring and control of charging pile power supply, characterized in that, include: The system acquires the pile group operation data and capacity status data of the target charging pile and adjacent charging piles within the same power distribution branch, and performs the pile group operation data collection processing within the same time window to obtain the pile group fluctuation data. Based on the fluctuation data of the pile group, the fluctuation consistency between the target node and the adjacent nodes is verified to obtain the node consistency result. The disturbance source is marked according to the node consistency result to obtain the pile group disturbance identifier. Based on the disturbance identifier of the pile group, the reactive power demand of the pile group operation data is converted to obtain the pile group compensation demand, and the capacity status data is mapped to the capacity share table based on the pile group compensation demand. The capacity share table is staggered by time to obtain the pile group compensation instruction; The target charging pile and the adjacent charging piles are controlled to adjust their reactive power output according to the pile group compensation command, and the pile group correction result is generated.

2. The intelligent monitoring and control method for charging pile power supply according to claim 1, characterized in that, The process of collecting and processing the operational data of the pile group within the same time window to obtain pile group fluctuation data includes: The operation data of the pile group is aligned with the same time window to obtain the operation record of the same window; The node fields of the same window operation record are aggregated to obtain the pile group fluctuation data.

3. The intelligent monitoring and control method for charging pile power supply according to claim 1, characterized in that, The step of verifying the consistency of the fluctuations between the target node and its adjacent nodes based on the fluctuation data of the pile group, and obtaining the node consistency result, includes: From the pile group fluctuation data, extract the voltage deviation sequence and voltage change direction sequence within the same time window to generate the target node fluctuation vector and the adjacent node fluctuation vector set; Calculate the cosine similarity between the target node fluctuation vector and the fluctuation vectors of adjacent nodes in the set of adjacent node fluctuation vectors to obtain a node similarity sequence; Based on the pile group fluctuation data, the line impedance distance is located in the pre-constructed power distribution topology table to obtain the node distance sequence; A distance decay sequence is generated based on the node distance sequence, and the node similarity sequence is corrected based on the distance decay sequence to obtain the node consistency result.

4. The intelligent monitoring and control method for charging pile power supply according to claim 1, characterized in that, The step of marking the source of disturbance based on the node consistency results to obtain the pile group disturbance identifier includes: The pile group fluctuation data is marked with nodes that exceed the limit to obtain a set of nodes that exceed the limit; Based on the node consistency results, the set of nodes exceeding the limit is filtered for consistent nodes in the same direction to obtain the set of branch disturbance nodes. Based on the set of branch disturbance nodes, the over-limit direction is aggregated to obtain the voltage over-limit direction; When the set of branch disturbance nodes meets the preset branch proportion condition, the disturbance source is marked as grid-side disturbance; when there are nodes in the set of over-limit nodes that have not entered the set of branch disturbance nodes, the disturbance source is marked as local pile-end disturbance. The disturbance source and the voltage over-limit direction are identified and merged to generate a pile group disturbance identifier.

5. The intelligent monitoring and control method for charging pile power supply according to claim 4, characterized in that, The step of converting the reactive power demand of the pile group operation data according to the pile group disturbance identifier to obtain the pile group compensation demand includes: Based on the disturbance identifier of the pile group, the disturbance time window is located and obtained; The disturbance power field within the disturbance time window is read from the pile group operation data to obtain the disturbance power record; The reactive power demand is obtained by converting the disturbance power record into reactive power difference. The reactive power demand is directionally marked according to the voltage over-limit direction to obtain the pile group compensation demand.

6. The intelligent monitoring and control method for charging pile power supply according to claim 1, characterized in that, The step of mapping the capacity status data to a capacity share table based on the pile group compensation demand includes: The compensation piles are selected based on the capacity status data to obtain a set of compensation piles; The capacity of the compensation pile set is sorted according to the capacity status data to obtain a capacity sequence; Based on the compensation requirements of the pile group, the capacity sequence is allocated by capacity proportion to obtain an initial share table; The initial share table is narrowed and corrected based on the capacity status data to obtain the capacity share table.

7. The intelligent monitoring and control method for charging pile power supply according to claim 1, characterized in that, The step of staggering the time of the capacity share table to obtain the pile group compensation instruction includes: The set of nodes participating in compensation is determined based on the capacity share table; The communication response is extracted from the operation data of the pile group to obtain the communication response record; The set of participating compensation nodes is marked with delay based on the communication response records to obtain a delay mark table; Based on the delay marker table, the advance calculation is performed to obtain the local execution timetable; The instructions are encapsulated based on the local execution timetable and the capacity share table to obtain the pile group compensation instructions.

8. The intelligent monitoring and control method for charging pile power supply according to claim 1, characterized in that, The step of controlling the target charging pile and the adjacent charging piles to adjust reactive power output according to the pile group compensation command, and generating pile group correction results, includes: The pile group compensation command is parsed to obtain the execution field set; Based on the execution field set, reactive power control quantities are issued to the target charging pile and the adjacent charging pile to obtain the output execution record; Collect the execution feedback data corresponding to the output execution record, collect the power factor status based on the execution feedback data, and generate pile group correction results.

9. A charging pile power intelligent monitoring and control system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the method according to any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the method described in any one of claims 1 to 8.

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