Alternating current power regulator electric power energy-saving control method based on cloud-side cooperation

Abstract

The invention relates to the technical field of electric power energy saving, in particular to an alternating current power regulator electric power energy-saving control method based on cloud edge collaboration, and the method comprises the steps: collecting the current sequence of each alternating current power regulator in each parking lot in a target area, and the distance between the parking lots; determining the power demand degree of the AC power regulator; calculating an electricity utilization peak evaluation value of any parking lot; calculating a target conduction angle of a thyristor of the AC power regulator at the current moment; enabling the randomly determined conduction angles of all AC power regulator thyristors in the target area under the same number of times to form a conduction angle vector; determining the fitness of the conduction angle vector at the current moment; and adopting an optimization algorithm for all the conduction angle vectors to obtain an optimal conduction angle vector, and controlling the conduction angle of the thyristor of the corresponding alternating current power regulator at the current moment. The invention aims to avoid power utilization peaks in a local area, reduce electric energy loss and further improve the overall power energy-saving effect of the area.

Description

Technical Field

[0001] The present application relates to the field of power energy-saving technology, and specifically to a power energy-saving control method for an AC power regulator based on cloud-edge collaboration. Background Art

[0002] AC constant voltage power regulator is a power control device based on thyristor and with digital control circuit as the core. It controls the output value of AC power by phase shift chopping. Thyristor is a semi-controlled power semiconductor device, which controls the conduction angle of thyristor, that is, controls the AC power to close the circuit at a specified phase, so that the AC power is loaded on the load at this phase, thereby controlling the effective value of the voltage on the load. AC constant voltage power regulator achieves precise regulation of load power by accurately controlling AC voltage, current and power, so as to optimize the efficiency of electric energy use and improve the degree of power energy saving.

[0003] In order to enjoy the discount of valley electricity, electric vehicle users connect their vehicles to the parking lot charging piles in advance and set the appointment time to automatically charge after midnight. At present, the design of most parking lots in cities does not take into account the peak of electricity consumption at night. The existing charging piles lack communication interfaces. The control of the AC power regulator can only be adjusted according to the data collected by the power dispatching platform at the transformer. The control of the AC power regulator thyristor is difficult to match the charging mode of electric vehicles. The energy-saving effect of power regulation is poor, resulting in peak electricity consumption in some areas of the city, increasing transmission and distribution losses, and causing energy waste. Summary of the invention

[0004] In order to solve the above technical problems, the present application provides an AC power regulator energy-saving control method based on cloud-edge collaboration to solve the existing problems.

[0005] The AC power regulator power energy-saving control method based on cloud-edge collaboration of this application adopts the following technical solutions:

[0006] An embodiment of the present application provides an AC power regulator power energy-saving control method based on cloud-edge collaboration, the method comprising the following steps:

[0007] A1, collects the current sequence of each AC power regulator in each parking lot in the target area, as well as the distance between the parking lots;

[0008] A2, by analyzing the difference between the maximum value and the minimum value in the sequence after the current sequence difference and the upper quartile, determine the charging state sequence and the current subsequence in the sequence after the difference; based on the charging state sequence, the average current in the current subsequence and the length of the charging state sequence, determine the power demand of the AC power regulator;

[0009] A3, using the power demand of all AC power regulators in the parking lot and the distance between parking lots, calculate the peak power consumption assessment value of any parking lot;

[0010] A4, according to the ratio between the power demand of the AC power regulator at the current moment and the power demand of the AC power regulator at the previous moment, the conduction angle of the thyristor in the AC power regulator at the previous moment is corrected to obtain the target conduction angle of the thyristor of the AC power regulator at the current moment; between the conduction angle of the thyristor in the AC power regulator at the previous moment and the target conduction angle of the thyristor at the current moment, the conduction angle of the thyristor of the AC power regulator at the current moment is randomly determined for a preset number of times; the conduction angles of the thyristors of all AC power regulators in the target area that are randomly determined for the same number of times are combined into a conduction angle vector;

[0011] A5, at the current moment, based on the difference between the target conduction angle and the conduction angle of all AC power regulators in all parking lots in the target area, as well as the power consumption peak evaluation value of all parking lots and the conduction angle difference of the AC power regulators between adjacent moments, determine the fitness of the conduction angle vector; use an optimization algorithm for all randomly obtained conduction angle vectors to obtain the optimal conduction angle vector, and use the conduction angle in the optimal conduction angle vector to control the conduction angle of the thyristor of the corresponding AC power regulator at the current moment.

[0012] Preferably, the method for determining the charging state sequence and the current subsequence in the differential sequence includes:

[0013] When the difference between the maximum value and the upper quartile in the differenced sequence is less than the difference between the minimum value and the upper quartile, the differenced sequence is recorded as a charge state sequence and also as a current subsequence;

[0014] Otherwise, the peak value in the differential sequence is obtained, the peak value is used as a segmentation point to divide the current sequence into multiple current sub-sequences, and the last current sub-sequence is recorded as a charging state sequence.

[0015] Preferably, the differential method is a forward differential process on the current sequence.

[0016] Preferably, the method for determining the power demand of the AC power regulator is as follows: the power demand of the AC power regulator is recorded as C, Among them, I S Represents the average value of the current data in the charging state sequence; G S Indicates the length of the charging state sequence; I max It represents the maximum value of the average value of the current data in all current subsequences in the current sequence; ε is a preset constant; exp() represents an exponential function with the natural constant e as the base.

[0017] Preferably, the calculation method of the peak power consumption evaluation value of any parking lot is: Where K represents the number of parking lots in the target area; A k 、AM k They represent the maximum value of the cumulative sum of power demands of all AC power regulators in the kth parking lot in the target area and the cumulative sum of power demands calculated historically; D k represents the distance between any parking lot and the kth parking lot in the target area; DM represents the maximum distance between any parking lot and all parking lots in the target area; In represents the logarithmic function with the natural constant e as the base; R represents the peak power consumption evaluation value of any parking lot.

[0018] Preferably, the method for acquiring the target conduction angle of the thyristor in the AC power regulator at the current moment is determined by multiplying the ratio by the conduction angle of the thyristor in the AC power regulator at the previous moment.

[0019] Preferably, the conduction angle of the thyristor in the AC power regulator at the previous moment is always smaller than the target conduction angle of the thyristor at the current moment.

[0020] Preferably, the method for determining the fitness of the conduction angle vector comprises: recording the fitness of the conduction angle vector as F, Where K represents the number of parking lots in the target area; M k represents the number of AC power regulators in the kth parking lot in the target area; R k represents the peak power consumption evaluation value of the kth parking lot in the target area; It represents the absolute value of the difference between the conduction angle of the thyristor of the mth AC power regulator in the kth parking lot at the previous moment and at the current moment; and They respectively represent the conduction angle and target conduction angle of the thyristor of the mth AC power regulator in the kth parking lot at the current moment; In represents a logarithmic function with a natural constant as the base; ε is a preset constant.

[0021] Preferably, the conduction angle of the thyristor of the mth AC power regulator in the kth parking lot at the current moment is always smaller than the target conduction angle.

[0022] Preferably, the optimal conduction angle vector is a conduction angle vector with the minimum fitness obtained by using an optimization algorithm.

[0023] This application has at least the following beneficial effects:

[0024] According to the current subsequence, the power demand of the AC power regulator is calculated. Its beneficial effect is that by analyzing the impact of the charging power change characteristics of the electric vehicle onboard charger on the current data, the accuracy of obtaining the power change required by a single AC power regulator is improved, thereby improving the accuracy of the subsequent calculation of the target conduction angle of the AC power regulator thyristor. According to the distance between parking lots and the power demand of the AC power regulator in the parking lot, the peak power consumption evaluation value of the parking lot is calculated. Its beneficial effect is that by analyzing the overall power demand between different parking lots in the target area, the risk of local power consumption peaks when the subsequent AC power regulator is controlled is reduced, thereby reducing the power loss of the distribution network. According to the peak power consumption evaluation value and the target conduction angle of the AC power regulator, the fitness of the conduction angle vector is calculated. The optimization algorithm is used to obtain the optimal conduction angle vector, and the optimal conduction angle in the optimal conduction angle vector is transmitted to the corresponding AC power regulator through the Internet of Things technology service as the conduction angle of its thyristor at the current moment, completing the power energy-saving control of the AC power regulator based on cloud-edge collaboration. On the one hand, the cloud-edge collaborative architecture of the Internet of Things technology service rationally distributes the computing tasks of the cloud computing center to different edge computing centers, improving the computing and processing speed of the current data uploaded by the AC power regulator, thereby achieving low-latency power energy-saving control. On the other hand, the power changes of a single AC power regulator and the AC power regulators between different parking lots are considered at the same time, and energy-saving control is performed on all AC power regulators in the target area according to the loop current of the AC power regulator. While ensuring the energy-saving effect of a single AC power regulator, it avoids power consumption peaks in local areas, reduces power loss, and thus improves the overall power-saving effect of the target area. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 A flow chart of the power energy-saving control method of an AC power regulator based on cloud-edge collaboration provided in this application;

[0027] Figure 2 This is the power saving control topology diagram provided for this application. DETAILED DESCRIPTION

[0028] In order to further explain the technical means and effects adopted by this application to achieve the predetermined invention purpose, the specific implementation method, structure, characteristics and effects of the AC power regulator energy-saving control method based on cloud-edge collaboration proposed in this application are described in detail below in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0029] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0030] The specific scheme of the AC power regulator power energy-saving control method based on cloud-edge collaboration provided by this application is described in detail below with reference to the accompanying drawings.

[0031] An embodiment of the present application provides an AC power regulator energy-saving control method based on cloud-edge collaboration.

[0032] Specifically, the following AC power regulator power energy-saving control method based on cloud-edge collaboration is provided. Figure 1 , the method comprises the following steps:

[0033] A1, collects the current sequence of each AC power regulator in each parking lot in the target area, and the distance between the parking lots.

[0034] Using the sensor technology service of the Internet of Things, an AC power regulator is installed at each charging pile, and a current sensor is installed at the connection between the AC power regulator and the distribution network to collect the effective value of the loop current in real time, with a collection frequency of once per second. The L-1 current data before the current moment of the AC power regulator are obtained, and the current sequence is formed with the current data currently measured in the order of collection time. In this embodiment, the value of L is 1000.

[0035] This application takes K parking lots in a certain target area of ​​a city as an example to achieve energy-saving control of all AC power regulators in the area. The location coordinates of each parking lot in the area are obtained, and the distances between different parking lots are calculated. The Internet of Things technology service is used to upload the current sequence of the AC power regulator and the distances between different parking lots to the cloud computing center in the Internet of Things through power line carrier communication technology.

[0036] The power energy-saving control topology diagram of this application is as follows Figure 2 shown.

[0037] A2, by analyzing the difference between the maximum and minimum values ​​in the sequence after the current sequence difference and the upper quartile, determine the charging state sequence and current subsequence in the sequence after the difference; based on the charging state sequence, the average current in the current subsequence and the length of the charging state sequence, determine the power demand of the AC power regulator.

[0038] There are many charging piles in residential areas and company parking lots in urban areas, and a huge amount of calculation will be generated in the process of optimizing the energy-saving control of their AC power regulators. The cloud-edge collaborative architecture of IoT technology services rationally distributes the computing tasks of the cloud computing center to different edge computing centers, improves the computing and processing speed of the current data uploaded by the AC power regulator, and thus realizes low-latency power energy-saving control.

[0039] After the charging power of the on-board charger is maintained for a period of time, the battery management system of the electric vehicle adjusts the on-board charger to reduce the charging power according to the current remaining power, causing the current data detected by the current sensor to decrease continuously over time.

[0040] The current sequence is forward-differentiated, and the processed sequence is recorded as the current differential sequence. Since the fluctuation of the current data under the same charging power is weak compared with the change of the current data when the charging power is adjusted at different levels, if the difference between the maximum value and the upper quartile in the current differential sequence does not exceed the difference between the upper quartile and the minimum value, it indicates that the charging power of the on-board charger has not been adjusted during the time period of the current sequence acquisition; if the difference between the maximum value and the upper quartile in the current differential sequence exceeds the difference between the upper quartile and the minimum value, it indicates that the charging power of the on-board charger has been adjusted during the time period of the current sequence acquisition. At this time, the peak value of the current differential sequence is obtained by the automatic multi-scale peak search algorithm, and its current data in the current sequence is used as the segmentation point to divide the current sequence into different current sub-sequences, and the number of current sub-sequences is recorded as S. Among them, the processing procedures of the forward differential processing and the automatic multi-scale peak search algorithm are both well-known technologies and will not be repeated.

[0041] The last current subsequence is recorded as a charging state sequence, reflecting the current charging state of the on-board charger. For the current sequence whose charging power of the on-board charger is not adjusted, it is recorded as a charging state sequence and also as a current subsequence.

[0042] Based on the charging state sequence, the average current in the current subsequence, and the length of the charging state sequence, the power demand C of the AC power regulator is determined, and the expression is:

[0043]

[0044] Among them, I SRepresents the average value of the current data in the charging state sequence; G S Indicates the length of the charging state sequence; I max It represents the maximum value of the average value of the current data in all current subsequences in the current sequence; ε is a preset constant, which is taken as 1 in this embodiment to prevent the denominator from being zero; exp() represents an exponential function with the natural constant e as the base, which aims to reflect the negative correlation between the length of the charging state sequence and the relative size of the current data in the entire current sequence and the charging state sequence and the power demand; C represents the power demand of the AC power regulator, reflecting the charging power of the on-board charger currently connected to the charging pile.

[0045] It should be understood that the average value of the current data in the charging state sequence reflects the current charging power of the on-board charger. The larger the average value of the current data, the greater the charging power of the on-board charger currently connected to the charging pile, and the greater the calculated power demand. In addition, the longer the on-board charger maintains the current charging power, the greater the probability of adjusting the charging power down, and the smaller the calculated power demand. In the final stage of charging of electric vehicles, the charging power of the on-board charger is small, and the more frequent the adjustment of the decrease. The greater the difference between the maximum value of the average value of the current data in all current subsequences in the current sequence and the average value of the current data in the charging state sequence, the greater the probability that the on-board charger is in the final stage of charging, and the smaller the calculated power demand.

[0046] A3, using the power demand of all AC power regulators in the parking lot and the distance between parking lots, calculate the peak power consumption assessment value of any parking lot.

[0047] When local power consumption peaks occur in a city, the load on the distribution network will be unbalanced, and the power system needs to frequently adjust the voltage and current levels of different parking lots in the area to adapt to the changing charging needs of electric vehicles. This frequent adjustment will increase the resistance loss in the transmission lines and transformers in the area.

[0048] In order to achieve uniform distribution of electric energy among different parking lots and avoid power consumption peaks in local areas, the AC power regulators in multiple parking lots are coordinated and controlled. The power demand of all AC power regulators in the parking lot and the distance between parking lots are used to calculate the power consumption peak evaluation value R of any parking lot. The expression is:

[0049]

[0050] Where K represents the number of parking lots in the target area; A k 、AM k They represent the maximum value of the cumulative sum of power demands of all AC power regulators in the kth parking lot in the target area and the cumulative sum of power demands calculated historically; D krepresents the distance between any parking lot and the kth parking lot in the target area; DM represents the maximum distance between any parking lot and all parking lots in the target area; In represents a logarithmic function with the natural constant e as the base, which aims to reflect the negative correlation between the distance between parking lots and the peak power consumption evaluation value; R represents the peak power consumption evaluation value of any parking lot, reflecting the risk estimate that the total charging power in the parking lot will reach the peak power consumption in the local area.

[0051] It should be understood that the cumulative sum of the maximum power demand calculated historically for a parking lot reflects the maximum charging power demand of the parking lot. The smaller the difference between the current cumulative sum of power demand and the current cumulative sum of power demand, the greater the risk of a power spike in the area around the parking lot, and the greater the calculated power spike assessment value. In addition, the closer the distance between different parking lots and the greater their charging power demand, the greater the risk of a local power spike formed by the two, and the greater the calculated power spike assessment value. At the same time, considering that the power spike assessment value decays rapidly due to the influence of the distance from the parking lot, a logarithmic function is used to represent this trend of change, thereby improving the accuracy of the risk assessment of power spikes in different parking lots.

[0052] A4, according to the ratio between the power demand of the AC power regulator at the current moment and the power demand at the previous moment, the conduction angle of the thyristor in the AC power regulator at the previous moment is corrected to obtain the target conduction angle of the thyristor of the AC power regulator at the current moment; between the conduction angle of the thyristor in the AC power regulator at the previous moment and the target conduction angle of the thyristor at the current moment, the conduction angle of the thyristor of the AC power regulator at the current moment is randomly determined for a preset number of times; the conduction angles of the thyristors of all AC power regulators in the target area that are randomly determined for the same number of times are combined into a conduction angle vector.

[0053] Considering the overall energy-saving control of all AC power regulators in the target area, it is necessary to analyze the power changes of a single AC power regulator and the AC power regulators between different parking lots to achieve the overall optimal energy-saving control of the area.

[0054] According to the ratio between the power demand of the AC power regulator at the current moment and the power demand of the previous moment, the conduction angle of the thyristor in the AC power regulator at the previous moment is corrected to obtain the target conduction angle α of the thyristor in the AC power regulator at the current moment t , the expression is:

[0055]

[0056] Among them, C t and C t-1 They represent the power demand calculated by the AC power regulator at the current moment and the previous moment respectively; β t-1 Indicates the conduction angle of the thyristor in the AC power regulator at the previous moment; α tIt indicates the target conduction angle of the thyristor of the AC power regulator at the current moment, reflecting the estimation of the optimal control of the AC power regulator at the current moment.

[0057] It should be understood that the power demand reflects the charging power of the on-board charger connected to the AC power regulator at different times. The conduction angle of the thyristor of the AC power regulator is positively correlated with the power it provides. The larger the conduction angle of the thyristor in the AC power regulator at the previous moment, and the smaller the change in the power demand at adjacent moments, the larger the target conduction angle of the thyristor of the AC power regulator at the current moment obtained by calculation.

[0058] Since electric vehicle users have a large time margin for charging at night, the thyristor conduction angle of the AC power regulator in different parking lots in the target area can be adjusted when the AC power regulator provides a voltage that is not under-voltage, so as to avoid power consumption spikes in local areas and cause additional energy loss.

[0059] For each AC power regulator in the target area, set its conduction angle interval to [β t-1 , α t ], β t-1 Indicates the conduction angle of the thyristor in the AC power regulator at the previous moment; α t Represents the target conduction angle of the thyristor of the AC power regulator at the current moment, and randomly selects a value in the conduction angle interval as its conduction angle. Through the above method, the conduction angles of different AC power regulators at the current moment are obtained, and arranged in any fixed order to form the conduction angle vector at the current moment. Among them, β t-1 <α t .

[0060] The above steps are adopted to perform 100 random selections to obtain 100 conduction angle vectors.

[0061] A5, at the current moment, based on the difference between the target conduction angle and the conduction angle of all AC power regulators in all parking lots in the target area, as well as the power consumption peak evaluation value of all parking lots and the conduction angle difference of the AC power regulators between adjacent moments, determine the fitness of the conduction angle vector; use an optimization algorithm for all randomly obtained conduction angle vectors to obtain the optimal conduction angle vector, and use the conduction angle in the optimal conduction angle vector to control the conduction angle of the thyristor of the corresponding AC power regulator at the current moment.

[0062] Based on the difference between the target conduction angle and the conduction angle of all AC power regulators in all parking lots in the target area, as well as the power consumption peak evaluation value of all parking lots and the conduction angle difference of the AC power regulators between adjacent moments, the fitness F of the conduction angle vector is determined, and the expression is:

[0063]

[0064] Where K represents the number of parking lots in the target area; M k represents the number of AC power regulators in the kth parking lot in the target area; R k represents the peak power consumption evaluation value of the kth parking lot in the target area; It represents the absolute value of the difference between the conduction angle of the thyristor of the mth AC power regulator in the kth parking lot at the previous moment and at the current moment; and They respectively represent the conduction angle and target conduction angle of the thyristor of the mth AC power regulator in the kth parking lot at the current moment; In represents a logarithmic function with a natural constant as the base, the purpose of which is to reflect the relationship between the ratio of the target conduction angle and the conduction angle of the thyristor and the fitness; ε is a preset constant, which is taken as 1 in this embodiment, the purpose of which is to prevent the denominator and the true number from being zero; F represents the fitness of the conduction angle vector, which reflects the degree of power loss caused by charging in the parking lot in the area under the control of its corresponding conduction angle.

[0065] On the one hand, the closer the conduction angle is to the target conduction angle, the smaller the loss of a single AC power regulator during subsequent power adjustment, and the smaller the calculated fitness. On the other hand, the power peak assessment value reflects the risk of the total charging power in the parking lot reaching the local power peak. The larger the power peak assessment value, the greater the risk of a parking lot power peak in the local area. At the same time, the smaller the conduction angle adjustment, the smaller the corresponding power change, reflecting that the current AC power regulator is at a higher power level, the greater the probability of a local power peak, the greater the degree of power loss caused by power allocation, and the greater the fitness obtained by calculation.

[0066] The 100 conduction angle vectors obtained above are used as input, and the corresponding fitness is obtained according to the above calculation method. The particle swarm optimization algorithm is used, and the maximum number of iterations is set to 100. The conduction angle vector with the smallest fitness is output and recorded as the optimal conduction angle vector, and the different conduction angles therein are recorded as the optimal conduction angles of the corresponding AC power regulator. Among them, the particle swarm optimization algorithm is a well-known technology and will not be described in detail.

[0067] The different optimal conduction angles obtained are transmitted to the corresponding AC power regulator through the Internet of Things technology service as the conduction angle of its thyristor at the current moment, completing the AC power regulator power energy-saving control based on cloud-edge collaboration.

[0068] The various embodiments in the present application are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0069] It should be noted that, unless otherwise specified and limited, terms such as "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a circuit structure, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such article or device. In the absence of further restrictions, an element defined by the sentence "including one..." does not exclude the existence of other identical elements in the article or device including the element. In addition, the term "and\or" used herein includes any and all combinations of one or more related listed items.

[0070] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not invented by the present application.

[0071] It will be appreciated that the present application is not limited to the exact construction that has been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof.

Claims

1. An AC power regulator power energy-saving control method based on cloud-edge collaboration, characterized in that: The method comprises the following steps: A1, collects the current sequence of each AC power regulator in each parking lot in the target area, as well as the distance between the parking lots; A2, by analyzing the difference between the maximum value and the minimum value in the sequence after the current sequence difference and the upper quartile, determine the charging state sequence and the current subsequence in the sequence after the difference; based on the charging state sequence, the average current in the current subsequence and the length of the charging state sequence, determine the power demand of the AC power regulator; A3, using the power demand of all AC power regulators in the parking lot and the distance between parking lots, calculate the peak power consumption assessment value of any parking lot; A4, according to the ratio between the power demand of the AC power regulator at the current moment and the power demand of the AC power regulator at the previous moment, the conduction angle of the thyristor in the AC power regulator at the previous moment is corrected to obtain the target conduction angle of the thyristor of the AC power regulator at the current moment; between the conduction angle of the thyristor in the AC power regulator at the previous moment and the target conduction angle of the thyristor at the current moment, the conduction angle of the thyristor of the AC power regulator at the current moment is randomly determined for a preset number of times; the conduction angles of the thyristors of all AC power regulators in the target area that are randomly determined for the same number of times are combined into a conduction angle vector; A5, at the current moment, based on the difference between the target conduction angle and the conduction angle of all AC power regulators in all parking lots in the target area, as well as the power consumption peak evaluation value of all parking lots and the conduction angle difference of the AC power regulators between adjacent moments, determine the fitness of the conduction angle vector; use an optimization algorithm for all randomly obtained conduction angle vectors to obtain the optimal conduction angle vector, and use the conduction angle in the optimal conduction angle vector to control the conduction angle of the thyristor of the corresponding AC power regulator at the current moment.

2. The AC power regulator power energy-saving control method based on cloud-edge collaboration according to claim 1 is characterized in that: The method for determining the charging state sequence and the current subsequence in the differential sequence includes: When the difference between the maximum value and the upper quartile in the differenced sequence is less than the difference between the minimum value and the upper quartile, the differenced sequence is recorded as a charge state sequence and also as a current subsequence; Otherwise, the peak value in the differential sequence is obtained, the peak value is used as a segmentation point to divide the current sequence into multiple current sub-sequences, and the last current sub-sequence is recorded as a charging state sequence.

3. The AC power regulator power energy-saving control method based on cloud-edge collaboration as claimed in claim 2 is characterized in that: The differential method is a forward differential process on the current sequence.

4. The AC power regulator power energy-saving control method based on cloud-edge collaboration according to claim 1, characterized in that: The method for determining the power demand of the AC power regulator is as follows: the power demand of the AC power regulator is recorded as C, Among them, I S Represents the average value of the current data in the charging state sequence; G S Indicates the length of the charging state sequence; I max It represents the maximum value of the average value of the current data in all current subsequences in the current sequence; ε is a preset constant; exp() represents an exponential function with the natural constant e as the base.

5. The AC power regulator power energy-saving control method based on cloud-edge collaboration as claimed in claim 1, characterized in that: The calculation method of the peak power consumption evaluation value of any parking lot is as follows: Where K represents the number of parking lots in the target area; A k 、AM k They represent the maximum value of the cumulative sum of power demands of all AC power regulators in the kth parking lot in the target area and the cumulative sum of power demands calculated historically; D k represents the distance between any parking lot and the kth parking lot in the target area; DM represents the maximum distance between any parking lot and all parking lots in the target area; ln represents the logarithmic function with the natural constant e as the base; R represents the peak power consumption evaluation value of any parking lot.

6. The AC power regulator power energy-saving control method based on cloud-edge collaboration according to claim 1, characterized in that: The method for obtaining the target conduction angle of the thyristor in the AC power regulator at the current moment is determined by multiplying the ratio by the conduction angle of the thyristor in the AC power regulator at the previous moment.

7. The AC power regulator power energy-saving control method based on cloud-edge collaboration as claimed in claim 1, characterized in that: The conduction angle of the thyristor in the AC power regulator at the previous moment is always smaller than the target conduction angle of the thyristor at the current moment.

8. The AC power regulator power energy-saving control method based on cloud-edge collaboration as claimed in claim 1, characterized in that: The method for determining the fitness of the conduction angle vector includes: recording the fitness of the conduction angle vector as F, Where K represents the number of parking lots in the target area; M k represents the number of AC power regulators in the kth parking lot in the target area; R k represents the peak power consumption evaluation value of the kth parking lot in the target area; It represents the absolute value of the difference between the conduction angle of the thyristor of the mth AC power regulator in the kth parking lot at the previous moment and at the current moment; and They respectively represent the conduction angle and target conduction angle of the thyristor of the mth AC power regulator in the kth parking lot at the current moment; ln represents a logarithmic function with a natural constant as the base; ε is a preset constant.

9. The AC power regulator power energy-saving control method based on cloud-edge collaboration as claimed in claim 8, characterized in that: The conduction angle of the thyristor of the mth AC power regulator in the kth parking lot at the current moment is always smaller than the target conduction angle.

10. The AC power regulator power energy-saving control method based on cloud-edge collaboration according to claim 1, characterized in that: The optimal conduction angle vector is the conduction angle vector with the minimum fitness obtained when the optimization algorithm is used.

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