Cloud-edge Collaborative AC Power Regulator Power Saving Control Method

Abstract

This application relates to the field of power energy-saving technologies, and specifically to a power energy-saving control method for an AC power regulator based on cloud-edge collaboration. The method includes: collecting the current sequences of each AC power regulator in each parking lot within the target area, as well as the distances between the parking lots; determining the power demand degree of the AC power regulator; calculating the electricity peak evaluation value of any parking lot; calculating the target conduction angle of the thyristor of the AC power regulator at the current moment; forming a conduction angle vector by randomly determining the conduction angles of all the thyristors of the AC power regulators in the target area the same number of times; determining the fitness of the conduction angle vector at the current moment; adopting an optimization algorithm for all the conduction angle vectors to obtain the optimal conduction angle vector, and controlling the conduction angle of the thyristor of the corresponding AC power regulator at the current moment. This application aims to avoid the occurrence of local area electricity peaks, reduce power losses, and thereby improve the overall power energy-saving effect of the area.

Description

Technical Field

[0001] This application relates to the technical field of power energy conservation, and particularly to a power energy conservation control method for an AC power regulator based on cloud-edge collaboration. Background Art

[0002] An AC constant voltage power regulator is a power control electrical appliance based on thyristors and with a digital control circuit as the core. It controls the output value of alternating current through phase-shifted chopping. A thyristor is a semi-controlled power semiconductor device. By controlling the conduction angle of the thyristor, that is, controlling the closing of the circuit at a specified phase of the alternating current, the alternating current is loaded on the load at this phase, thereby controlling the effective value of the voltage on the load. The AC constant voltage power regulator realizes precise adjustment of the load power through precise control of the AC voltage, current, and power, so as to achieve the purpose of optimizing the power usage efficiency and improving the power energy conservation level.

[0003] In order to enjoy the preferential price of valley electricity, electric vehicle users connect their vehicles to the parking lot charging piles in advance and set a reservation time to automatically charge after midnight. Currently, most parking lot designs in cities do not consider the night-time electricity peak. Existing charging piles lack communication interfaces, and the control of the AC power regulator can only be adjusted according to the data collected by the power dispatching platform at the transformer. It is difficult to match the control of the thyristor of the AC power regulator with the charging mode of electric vehicles, and the energy-saving effect of power regulation is poor, resulting in electricity peaks in local areas of the city, increasing transmission and distribution losses and causing waste of electric energy. Summary of the Invention

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

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

[0006] An embodiment of this application provides a power energy conservation control method for an AC power regulator based on cloud-edge collaboration. The method includes the following steps:

[0007] A1. Collect the current sequences of each AC power regulator in each parking lot within the target area, and the distances between the parking lots;

[0008] A2. By analyzing the differences between the maximum and minimum values in the sequence after differentiating the current sequence compared with the upper quartile, determine the charging state sequence and the current subsequence in the sequence after differentiation; based on the average current in the charging state sequence, the current subsequence, and the length of the charging state sequence, determine the power demand degree of the AC power regulator;

[0009] A3. Calculate the peak power consumption evaluation value of any parking lot by using the power demand degrees of all AC power regulators in the parking lot and the distances between parking lots.

[0010] A4. According to the ratio between the power demand degrees of the AC power regulator at the current moment and the previous moment, correct the conduction angle of the thyristor in the AC power regulator at the previous moment to obtain the target conduction angle of the thyristor in the AC power regulator at the current moment; randomly determine the conduction angles of the thyristor in the AC power regulator at the current moment a preset number of times 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; form a conduction angle vector with the conduction angles randomly determined the same number of times for all thyristors of all AC power regulators within the target area.

[0011] A5. At the current moment, based on the differences between the target conduction angles and the conduction angles of all AC power regulators of all parking lots within the target area, as well as the peak power consumption evaluation values of all parking lots and the conduction angle differences 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 angles in the optimal conduction angle vector to control the conduction angles of the thyristors of the corresponding AC power regulators at the current moment.

[0012] Preferably, the determination method of the charging state sequence and the current subsequence in the differentiated sequence includes:

[0013] When the difference between the maximum value and the upper quartile in the differentiated sequence is less than the difference between the minimum value and the upper quartile, record the differentiated sequence as the charging state sequence and also as the current subsequence.

[0014] Otherwise, obtain the peak value in the differentiated sequence, use the peak value as the segmentation point to divide the current sequence into multiple current subsequences, and record the last current subsequence as the charging state sequence.

[0015] Preferably, the differentiation method is the forward differentiation processing of the current sequence.

[0016] Preferably, the determination method of the power demand degree of the AC power regulator is: Denote the power demand degree of the AC power regulator as C. Where, I S represents the average value of the current data in the charging state sequence; G S represents the length of the charging state sequence; I max represents the maximum value of the average values of the current data in all current subsequences within the current sequence; ε is a preset constant; exp() represents the 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: Among them, K represents the number of parking lots in the target area; A k , AM k respectively represent the sum of the power demand degrees of all AC power regulators in the k-th parking lot in the target area and the maximum value of the sum of the power demand degrees calculated historically; D k represents the distance between any parking lot and the k-th parking lot in the target area; DM represents the maximum value of the distances 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 obtaining the target conduction angle of the thyristor at the current moment of the AC power regulator is determined by the product result of the ratio and 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 less 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 includes: denoting the fitness of the conduction angle vector as F, Among them, K represents the number of parking lots in the target area; M k represents the number of AC power regulators in the k-th parking lot in the target area; R k represents the peak power consumption evaluation value of the k-th parking lot in the target area; represents the absolute value of the difference between the conduction angles of the thyristor of the m-th AC power regulator in the k-th parking lot at the previous moment and the current moment; and respectively represent the conduction angle and the target conduction angle of the thyristor of the m-th AC power regulator in the k-th parking lot at the current moment; In represents the logarithmic function with the natural constant as the base; ε is a preset constant.

[0021] Preferably, the conduction angle of the thyristor of the m-th AC power regulator in the k-th parking lot at the current moment is always less than the target conduction angle.

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

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

[0024] Calculate the power demand degree of the AC power regulator according to the current subsequence. The beneficial effect is that by analyzing the influence of the charging power change characteristics of the on-vehicle charger of the electric vehicle on the current data, the accuracy of obtaining the power change required by a single AC power regulator is improved, and then the accuracy of calculating the target conduction angle of the thyristor of the AC power regulator in the subsequent process is enhanced. Calculate the peak power consumption evaluation value of the parking lot according to the distance between parking lots and the power demand degree of the AC power regulators in the parking lot. The beneficial effect is that by analyzing the overall power consumption demand among different parking lots in the target area, the risk of local area peak power consumption during the subsequent control of the AC power regulator is reduced, and then the power loss of the distribution network is decreased. Calculate the fitness of the conduction angle vector according to the peak power consumption evaluation value and the target conduction angle of the AC power regulator. Obtain the optimal conduction angle vector by using the optimization algorithm, and transmit the optimal conduction angle in the optimal conduction angle vector to its corresponding AC power regulator through the Internet of Things technology service as the conduction angle of its thyristor at the current moment, so as to complete the power saving control of the AC power regulator based on cloud-edge collaboration. On the one hand, the cloud-edge collaboration architecture of the Internet of Things technology service reasonably 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 then realizes low-latency power saving control. On the other hand, considering the power changes of both a single AC power regulator and the AC power regulators among different parking lots at the same time, 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 the occurrence of local area peak power consumption, reduces power loss, and then improves the overall power saving effect of the target area. 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 following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0026] Figure 1 It is a flowchart of the power saving control method of the AC power regulator based on cloud-edge collaboration provided by the present application;

[0027] Figure 2 It is a topology diagram of the power saving control provided by the present application. Detailed Embodiments

[0028] To further elaborate on the technical means and effects adopted by this application to achieve the intended invention purpose, the following will, in conjunction with the accompanying drawings and preferred embodiments, elaborate in detail on the specific implementation manner, structure, features, and effects of the AC power regulator power-saving control method based on cloud-edge collaboration proposed according to this application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0029] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs.

[0030] The following will specifically describe the specific solution of the AC power regulator power-saving control method based on cloud-edge collaboration provided by this application in conjunction with the accompanying drawings.

[0031] An AC power regulator power-saving control method based on cloud-edge collaboration provided by an embodiment of this application.

[0032] Specifically, the following AC power regulator power-saving control method based on cloud-edge collaboration is provided. Please refer to Figure 1 , and this method includes the following steps:

[0033] A1. Collect the current sequences of each AC power regulator in each parking lot within the target area, as well as the distances between the parking lots.

[0034] Using the sensing technology service of the Internet of Things, install an AC power regulator at each charging pile, and install a current sensor 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. Obtain the L-1 current data before the current moment of the AC power regulator, and form a current sequence with the currently measured current data in the order of collection time. In this embodiment, L is taken as 1000.

[0035] Taking K parking lots in a certain target area of a city as an example in this application, the energy-saving control of all AC power regulators in this area is realized. Obtain the position coordinates of each parking lot in this area, and calculate the distances between different parking lots. Using the Internet of Things technology service, upload the current sequences of the AC power regulators 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-saving control topology diagram of this application is as shown in Figure 2 shown.

[0037] A2. By analyzing the differences between the maximum and minimum values in the sequence after differentiating the current sequence compared with the upper quartile, determine the charging state sequence and the current subsequence in the differentiated sequence; 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 degree of the AC power regulator.

[0038] There are a large number of charging piles in communities and company parking lots in urban areas. During the process of separately optimizing the energy-saving control of their AC power regulators, huge amounts of computational work will be generated. The cloud-edge collaboration architecture of the Internet of Things technology service reasonably 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, and thus realizing low-latency power energy-saving control.

[0039] After the charging power of the on-vehicle charger has been maintained for a period of time, the battery management system of the electric vehicle adjusts the on-vehicle charger to reduce the charging power according to the current remaining power, resulting in the current data detected by the current sensor decreasing continuously over time.

[0040] Perform forward difference processing on the current sequence, and denote the processed sequence as the current difference sequence. Since the fluctuation of the current data under the same charging power is relatively weak compared with the change of the current data when different charging powers are adjusted, if the difference between the maximum value and the upper quartile in the current difference sequence does not exceed the difference between the upper quartile and the minimum value, it indicates that the charging power of the on-vehicle charger has not been adjusted during the time period when the current sequence is collected; if the difference between the maximum value and the upper quartile in the current difference sequence exceeds the difference between the upper quartile and the minimum value, it indicates that the charging power of the on-vehicle charger has been adjusted during the time period when the current sequence is collected. At this time, use the automatic multi-scale peak search algorithm to obtain the peak of the current difference sequence, and use the current data in the current sequence as the segmentation point to divide the current sequence into different current subsequences. The number of current subsequences is denoted as S. Among them, the processes of forward difference processing and the automatic multi-scale peak search algorithm are well-known technologies and will not be elaborated here.

[0041] Denote the last current subsequence as the charging state sequence, which reflects the current charging state of the on-vehicle charger. For the current sequence in which the charging power of the on-vehicle charger has not been adjusted, denote itself as the charging state sequence and also as the current subsequence.

[0042] 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 degree C of the AC power regulator. The expression is:

[0043]

[0044] Among them, I Srepresents the average value of the current data in the charging state sequence; G S represents the length of the charging state sequence; I max represents the maximum value of the average values of the current data in all current subsequences within the current sequence; ε is a preset constant, which takes the value of 1 in this embodiment to prevent the denominator from being zero; exp() represents the exponential function with the natural constant e as the base, aiming to reflect the negative correlation between the length of the charging state sequence and the relative magnitudes of the entire current sequence and the current data within the charging state sequence and the power demand degree; C represents the power demand degree of the AC power regulator, reflecting the charging power magnitude of the on-vehicle 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 charging power magnitude of the current on-vehicle charger. The larger the average value of its current data, the larger the charging power of the on-vehicle charger currently connected to the charging pile, and the larger the calculated power demand degree. In addition, the longer the on-vehicle charger maintains the current charging power, the greater the probability of its charging power decreasing, and the smaller the calculated power demand degree. In the final stage of electric vehicle charging, the charging power of the on-vehicle charger is small and its downward adjustment is more frequent. The greater the difference between the maximum value of the average values of the current data in all current subsequences within the current sequence and the average value of the current data in the charging state sequence, the greater the probability that the on-vehicle charger is in the final stage of charging, and the smaller the calculated power demand degree.

[0046] A3. Calculate the peak power consumption evaluation value of any parking lot by using the power demand degrees of all AC power regulators in the parking lot and the distances between parking lots.

[0047] When there is a peak power consumption in a local area of the city, it will cause the load of the distribution network to be unbalanced. 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 demands of electric vehicles. This frequent adjustment will increase the resistance losses in the transmission lines and transformers in the area.

[0048] To achieve uniform distribution of electric energy between different parking lots and avoid peak power consumption in local areas, coordinate the control of AC power regulators in multiple parking lots, and calculate the peak power consumption evaluation value R of any parking lot by using the power demand degrees of all AC power regulators in the parking lot and the distances between parking lots. The expression is:

[0049]

[0050] where K represents the number of parking lots in the target area; A k 、AM k respectively represent the sum of the power demand degrees of all AC power regulators in the k-th parking lot in the target area and the maximum value of the sum of the historically calculated power demand degrees; D kIt represents the distance between any parking lot and the k-th parking lot in the target area; DM represents the maximum value of the distances 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, aiming to reflect the negative correlation between the distances between parking lots and the evaluation value of the power peak; R represents the evaluation value of the power peak of any parking lot, reflecting the risk estimate of the total charging power in the parking lot reaching the local area power peak.

[0051] It should be understood that the cumulative sum of the maximum calculated power demand degrees of the parking lot history reflects the maximum charging power demand of the parking lot. The smaller the difference between the current cumulative sum of the power demand degree and it, the greater the risk of a power peak occurring in the surrounding area of the parking lot, and the greater the calculated evaluation value of the power peak. In addition, when the distances between different parking lots are closer and their charging power demands are greater, the risk of forming a local area power peak between the two is greater, and the calculated evaluation value of the power peak is greater. At the same time, considering that the evaluation value of the power peak is attenuated rapidly by the influence of the distance between parking lots, the logarithmic function is used to represent this change trend to improve the accuracy of the risk assessment of the power peak occurring in different parking lots.

[0052] A4. According to the ratio between the power demand degrees of the AC power regulator at the current moment and the previous moment, correct the conduction angle of the thyristor in the AC power regulator at the previous moment to obtain the target conduction angle of the thyristor in the AC power regulator at the current moment; randomly determine the conduction angles of the thyristor in the AC power regulator at the current moment a preset number of times 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; form a conduction angle vector with the conduction angles randomly determined the same number of times for the thyristors of all AC power regulators in the target area.

[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 individual AC power regulators 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 degrees of the AC power regulator at the current moment and the previous moment, correct the conduction angle of the thyristor in the AC power regulator at the previous moment to obtain the target conduction angle α of the thyristor in the AC power regulator at the current moment t , and the expression is:

[0055]

[0056] Among them, C t and C t-1 respectively represent the power demand degrees calculated at the current moment and the previous moment of the AC power regulator; β t-1 represents the conduction angle of the thyristor in the AC power regulator at the previous moment; α tIt represents 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 degree reflects the charging power of the on-vehicle chargers connected to the AC power regulator at different moments. 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 degree between 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 the time margin for electric vehicle users to charge at night is relatively large, it is possible to adjust the conduction angles of the thyristors of the AC power regulators in different parking lots within the target area when the voltage provided by the AC power regulator is not undervoltage, so as to avoid the occurrence of power peaks in local areas and cause additional power loss.

[0059] For each AC power regulator within the target area, set its conduction angle range as [β t-1 , α t , where β t-1 represents 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 select a value within the conduction angle range as its conduction angle. Through the above method, obtain the conduction angles of different AC power regulators at the current moment, and arrange them in any fixed order to form the conduction angle vector at the current moment. Among them, β t-1 < α t .

[0060] Adopt the above steps and conduct 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 thyristors of all AC power regulators in all parking lots within the target area, as well as the power peak evaluation values of all parking lots and the conduction angle differences between adjacent moments of the AC power regulators, determine the fitness of the conduction angle vector; use the optimization algorithm for all randomly obtained conduction angle vectors to obtain the optimal conduction angle vector, and use the conduction angles in the optimal conduction angle vector to control the conduction angles of the thyristors of the corresponding AC power regulators at the current moment.

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

[0063]

[0064] Among them, K represents the number of parking lots in the target area; M k represents the number of AC power regulators in the k-th parking lot in the target area; R k represents the peak power consumption evaluation value of the k-th parking lot in the target area; represents the absolute value of the difference between the conduction angles of the thyristor of the m-th AC power regulator in the k-th parking lot at the previous moment and the current moment; and respectively represent the conduction angle and the target conduction angle of the thyristor of the m-th AC power regulator in the k-th parking lot at the current moment; In represents the logarithmic function with the natural constant as the base, aiming 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 takes the value of 1 in this embodiment, aiming to prevent the denominator and the true number from being zero; F represents the fitness of the conduction angle vector, reflecting the degree of power loss caused by charging in the parking lots in this 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 peak power consumption evaluation value reflects the risk degree of the total charging power in the parking lot reaching the local area's peak power consumption. The larger the peak power consumption evaluation value, the greater the risk of the local area's parking lot experiencing a peak power consumption; at the same time, the smaller the adjustment of the conduction angle, the smaller the corresponding power change, indicating that the current AC power regulator is at a relatively high power level, the greater the probability of a local peak power consumption occurring, and the greater the degree of power loss caused by power distribution, and the greater the calculated fitness.

[0066] Take the above-obtained 100 conduction angle vectors as inputs, and obtain their corresponding fitness values according to the above calculation method. Use the particle swarm optimization algorithm, set the maximum number of iterations to 100, output the conduction angle vector with the smallest fitness, and record it as the optimal conduction angle vector. Denote the different conduction angles among them as the optimal conduction angles of the corresponding AC power regulators. Among them, the particle swarm optimization algorithm is a well-known technology and will not be elaborated here.

[0067] Transmit the obtained different optimal conduction angles to their corresponding AC power regulators through the Internet of Things technology service as the conduction angle of their thyristors at the current moment, and complete the power-saving control of the AC power regulator based on cloud-edge collaboration.

[0068] Each embodiment in this application is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments.

[0069] It should be noted that, unless otherwise specified or limited, terms such as "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a circuit structure, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such article or device. Without further limitation, an element defined by the statement "comprising one..." does not exclude the presence of additional identical elements in the article or device comprising said element. In addition, the term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0070] Those skilled in the art will readily conceive of 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 known common general knowledge or conventional technical means in the technical field not invented by the present application.

[0071] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope.

Claims

1. A power saving control method for an AC power regulator based on cloud-edge collaboration, characterized in that The method includes the following steps: A1. Collect the current sequences of each AC power regulator in each parking lot within the target area, as well as the distances between the parking lots; A2. By analyzing the difference magnitudes between the maximum value and the minimum value in the sequence after differentiating the current sequence compared with the upper quartile, determine the charging state sequence and the current subsequence in the sequence after differentiation; 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 degree of the AC power regulator; A3. Use the power demand degrees of all AC power regulators in the parking lot and the distances between the parking lots to calculate the peak power consumption evaluation value of any parking lot; A4. According to the ratio between the power demand degree of the AC power regulator at the current moment and the previous moment, correct the conduction angle of the thyristor in the AC power regulator at the previous moment to obtain the target conduction angle of the thyristor in the AC power regulator at the current moment; Randomly determine the conduction angles of the thyristor in the AC power regulator at the current moment a preset number of times 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; Form a conduction angle vector with the conduction angles randomly determined the same number of times for all thyristors of all AC power regulators in the target area; A5. At the current moment, based on the differences between the target conduction angles and the conduction angles of all AC power regulators in all parking lots within the target area, as well as the peak power consumption evaluation values of all parking lots and the conduction angle differences 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 angles in the optimal conduction angle vector to control the conduction angles of the thyristors in the corresponding AC power regulators at the current moment; The determination method of the charging state sequence and the current subsequence in the sequence after differentiation includes: When the difference between the maximum value and the upper quartile in the sequence after differentiation is less than the difference between the minimum value and the upper quartile, record the sequence after differentiation as the charging state sequence and also as the current subsequence; Otherwise, obtain the peak value in the sequence after differentiation, use the peak value as the segmentation point to divide the current sequence into multiple current subsequences, and record the last current subsequence as the charging state sequence; The optimal conduction angle vector is the conduction angle vector with the minimum fitness obtained when using the optimization algorithm.

2. The power saving control method of the AC power regulator based on cloud-edge collaboration according to claim 1, characterized in that, The differentiation method is the forward differentiation processing of the current sequence.

3. The power saving control method of the AC power regulator based on cloud-edge collaboration according to claim 1, characterized in that, The method for determining the power demand degree of the AC power regulator is as follows: Denote the power demand degree of the AC power regulator as , ; where represents the average value of the current data in the charging state sequence; represents the length of the charging state sequence; represents the maximum value of the average values of the current data in all current subsequences within the current sequence; is a preset constant; exp() represents the exponential function with the natural constant e as the base.

4. The power-saving control method for an AC power regulator based on cloud-edge collaboration according to claim 1, characterized in that The calculation method for the peak electricity consumption evaluation value of any parking lot is as follows: ; where K represents the number of parking lots in the target area; and respectively represent the sum of the power demand degrees of all AC power regulators in the k-th parking lot in the target area and the maximum value of the sum of the power demand degrees calculated historically; represents the distance between any parking lot and the k-th parking lot in the target area; DM represents the maximum value of the distances 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 electricity consumption evaluation value of any parking lot.

5. The power-saving control method of the AC power regulator based on cloud-edge collaboration according to claim 1, characterized in that, The acquisition method of the target conduction angle of the thyristor in the AC power regulator at the current moment is determined by the product result of the ratio and the conduction angle of the thyristor in the AC power regulator at the previous moment.

6. The power saving control method for an AC power regulator based on cloud-edge collaboration according to claim 1, characterized in that The conduction angle of the thyristor in the AC power regulator at the previous moment is always less than the target conduction angle of the thyristor at the current moment.

7. The power saving control method of the AC power regulator based on cloud-edge collaboration according to claim 1, wherein, The method for determining the fitness of the conduction angle vector includes: denoting the fitness of the conduction angle vector as F, ; where K represents the number of parking lots in the target area; represents the number of AC power regulators in the k-th parking lot in the target area; represents the peak electricity consumption evaluation value of the k-th parking lot in the target area; represents the absolute value of the difference between the conduction angles of the m-th thyristor of the AC power regulator in the k-th parking lot at the previous moment and the current moment; and respectively represent the conduction angle and the target conduction angle of the m-th thyristor of the AC power regulator in the k-th parking lot at the current moment; ln represents the logarithmic function with the natural constant e as the base; is a preset constant.

8. The power-saving control method for an AC power regulator based on cloud-edge collaboration according to claim 7, characterized in that The conduction angle of the thyristor of the m-th AC power regulator in the k-th parking lot at the current moment is always less than the target conduction angle.

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