Power grid power system planning method based on short-term demand

Abstract

The application discloses a power grid power system planning method based on short-term demand and relates to the technical field of power planning.The application solves the problem that detailed time period analysis is not carried out, which causes the problem of power surplus in some time periods.The application determines corresponding incremental time periods by numerical analysis on past power consumption data, and then carries out numerical analysis based on the corresponding incremental time periods, so that the related accuracy of subsequent power planning can be guaranteed.The increment of the incremental time period is larger than that of other time periods, so the time period with larger increment is the corresponding incremental time period.In order to achieve better power planning, the incremental time period is determined, so that the related accuracy of subsequent power planning is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of power planning, and in particular to a method for planning a power grid system based on short-term demand. Background Art

[0002] Power planning is a complex process involving many factors. It not only includes the production, transmission and distribution of electricity, but also involves energy policy, environmental protection and economic sustainable development.

[0003] Patent application CN115764882A discloses an auxiliary analysis method for power planning based on a power system, which relates to the technical field of power planning and design. The scheme adopted includes the following steps: collecting and extracting power data from the power system; performing relevant electrical calculations on the collected and extracted power data; predicting the power load based on the results of the electrical calculations; optimizing the load based on the predicted power load; trial-running the generator set after the optimized scheduling, and collecting power data during the trial run; visualizing and applying the power data. By performing auxiliary analysis for power planning, the power demand can be analyzed as a whole in combination with the economic status and power consumption of the region, the power load can be reasonably predicted, and then reasonable planning can be made for the power project based on detailed economic indicators and relevant analysis of the operating status of power equipment. The present invention is applicable to the field of power planning.

[0004] When planning electricity, the power system generally supplies electricity for the next cycle in advance based on the relevant electricity consumption of the corresponding cycle in order to meet short-term demand. However, this supply method does not conduct detailed time period analysis, which will cause excess electricity in certain periods, resulting in uneven power planning, poor overall power planning effect, and failure to achieve a better power planning effect. Summary of the Invention

[0005] In view of the shortcomings of the existing technology, the present invention provides a power grid power system planning method based on short-term demand, which solves the problem that the lack of detailed time period analysis may cause excess power in certain time periods.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a power grid power system planning method based on short-term demand, comprising the following steps:

[0007] S1. Determine the short-term electricity consumption of a specified period in a specified area, and perform relevant calibration of the incremental area based on the short-term electricity consumption of this specified period and the past electricity consumption. The specific method is as follows:

[0008] S11. Based on a preset designated period, the short-term power consumption determined in the designated period is calibrated as Yd, and then the short-term power consumption Dd of the previous designated period of the designated period is determined from the past power consumption, and whether the short-term power consumption Yd and Dd meet the following conditions:

[0009] (Yd-Dd)>Y1, where Y1 is a preset value representing the maximum power consumption that can be added. If this assessment condition is met, the designated area of ​​this designated period is marked as an incremental area; when (Yd-Dd)≤Y1, no calibration is performed;

[0010] S2. Based on the determined incremental area, numerically analyze the short-term electricity consumption of the incremental area in the current specified period with the short-term electricity consumption of the previous set of specified periods, and determine the incremental period belonging to the current specified period based on the corresponding numerical analysis results. The specific method is as follows:

[0011] S21. Generate a short-term electricity consumption change curve A for the current specified period based on the electricity consumption corresponding to different moments in the current specified period. Generate a short-term electricity consumption change curve B for the previous specified period based on the electricity consumption of the previous specified period. The horizontal coordinate of the curve is the timeline, and the vertical coordinate is the electricity consumption parameter.

[0012] S22. Confirm the changes of the short-term electricity consumption change curves A and B in the same period, mark the line segments with the same trend as the same trend segments, and mark the line segments with different trends as the different trend segments;

[0013] S23. Based on the calibrated trend segments, lock the rising segment whose trend is in a climbing state from the short-term power consumption change curve A, and lock the falling segment whose trend is opposite to the rising segment in the short-term power consumption change curve B, and determine the difference Ck between the power consumption parameter Yk in the rising segment and the power consumption parameter Xk at the same moment in the falling segment, where Ck = Yk - Xk, where k represents different moments, and select the maximum and minimum values ​​from the difference Ck greater than 0 to determine the difference range [Ckmin, Ckmax] displayed by the trend segments in this period;

[0014] S24. Based on the calibrated trend-identical segments, locate the main climbing segment with an increasing trend from the short-term power consumption change curve A, and locate the secondary climbing segment with the same trend as the main climbing segment from the short-term power consumption change curve B. Then, determine the power consumption difference Ck between the main climbing segment and the secondary climbing segment at the same moment, and use the same extraction method to determine the difference interval [Ckmin, Ckmax].

[0015] S25. Compare the determined difference interval [Ckmin, Ckmax] with the preset value X1. If (Ckmax-X1)>(X1-Ckmin)×C1, where C1 is a preset fixed coefficient factor, calibrate the time period corresponding to the difference interval as the incremental time period. When (Ckmax-X1)≤(X1-Ckmin)×C1, no calibration is performed.

[0016] S3. Based on the incremental period determined in the specified cycle, determine the total amount of electricity consumed in the incremental period. Then, using the incremental period as a characteristic period, determine the total amount of electricity consumed in other periods during the characteristic period from past electricity consumption data, and perform numerical analysis to calibrate the incremental period as a stable incremental period or a fluctuating incremental period. The specific method is as follows:

[0017] S31. Mark the current incremental period as a characteristic period, and determine the total power consumption Yz of this characteristic period. Then, based on the endpoint time of the characteristic period, locate the same period between the same endpoint time from the past power consumption data, and determine the total power consumption Zq of other same period, where q represents other different same period in the past, where q = 1, 2, ..., n, where q is 1, represents the same period of the first cycle before the current characteristic period, and q is 2, represents the same period of the second cycle before the current characteristic period, where n has a maximum value of 10;

[0018] S32. Sort the determined groups of total power consumption Zq in a time-ordered manner to generate a numerical sequence, with the last group of total power consumption Yz being placed at the end of the numerical sequence;

[0019] S33. Compare the total amount of electricity consumption at different positions in the numerical sequence. If the previous set of values ​​is greater than the next set of values, a value of "1" is generated; otherwise, a value of "0" is generated. The previous set of values ​​and the next set of values ​​are evaluated in the following manner: the value arranged in front belongs to the previous set of values ​​of the next set;

[0020] S34. Determine the percentage ZB of the number F1 of assigned values ​​of "1" in the total number Fz of the current assessment, where ZB = F1 ÷ Fz. Compare the percentage ZB with a preset value Y2. When ZB ≥ Y2, mark this incremental period as a stable incremental period; when ZB < Y2, mark this incremental period as a fluctuating incremental period.

[0021] S4. After the stable incremental periods within the specified cycle are confirmed in sequence, the incremental value of the corresponding stable incremental period compared with the corresponding period of the previous specified cycle is confirmed, and based on the specific incremental value, the power output of the same period in the next cycle is adjusted in real time; the specific method is:

[0022] S41. Determine the total electricity consumption YD during the stable incremental period based on the stable incremental period of the current specified cycle, and then determine the same period as the current stable incremental period in the previous specified cycle to determine the total electricity consumption DZ during the same period.

[0023] S42. Determine: Electricity difference = YD - DZ, then determine the virtual total amount for the next specified period: virtual total amount = YD + electricity difference, then determine the power output per unit time CLo of the stable incremental period based on the specific duration of the current stable incremental period, and CLo = virtual total amount / specific duration, where o represents different stable incremental periods;

[0024] S43. In the next specified cycle, when the corresponding moment reaches the same period as the current stable increment period, the power output is adjusted to CLo, and at the end of the same period, the originally set power output is restored.

[0025] The present invention provides a method for planning a power grid system based on short-term demand. Compared with the existing technology, it has the following advantages:

[0026] The present invention determines the corresponding incremental period by performing numerical analysis on past electricity consumption data. Subsequently, numerical analysis is performed based on the corresponding incremental period to ensure the accuracy of subsequent power planning. If the incremental period is larger than that of other periods, then the periods with larger incremental periods are the corresponding incremental periods. In order to achieve better power planning, the incremental period is determined to facilitate the accuracy of subsequent power planning.

[0027] Then, determine the relevant time periods that are the same as the incremental time periods from past data, and then based on the numerical changes between the relevant time periods and the incremental time periods, in order to achieve better power planning effects, adjust the power within the determined stable incremental time periods, so that the power output value changes within the corresponding stable incremental time periods, and keeps the power output values ​​of other time periods unchanged, so as to not only avoid excessive power waste, but also fully guarantee the overall power planning effect, and avoid power shortages. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 Schematic diagram of the process of the present invention;

[0029] Figure 2 Schematic diagram of determining the incremental area of ​​the present invention. DETAILED DESCRIPTION

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0031] Example 1

[0032] See also Figure 1 , this application provides a power grid system planning method based on short-term demand, comprising the following steps:

[0033] S1. Combination Figure 2 , determine the short-term electricity consumption of the specified period in the specified area, and perform relevant calibration of the incremental area based on the short-term electricity consumption of the specified period and the past electricity consumption. The specified period is a preset period, generally 24 hours, and its specific value is determined by the operator based on experience. When the electricity consumption of the corresponding specified area exceeds the specific electricity consumption of other periods, relevant calibration of the incremental area is required;

[0034] The specific method for calibrating the incremental area is as follows:

[0035] S11. Based on a preset designated period, the short-term power consumption determined in the designated period is calibrated as Yd, and then the short-term power consumption Dd of the previous designated period of the designated period is determined from the past power consumption, and whether the short-term power consumption Yd and Dd meet the following conditions:

[0036] (Yd-Dd)>Y1, where Y1 is a preset value representing the maximum power consumption that can be added. The specific value is generally determined by the operator based on experience. If this assessment condition is met, the designated area of ​​this designated period is marked as the incremental area. If this assessment condition is not met, no calibration is performed;

[0037] Specifically, when the electricity consumption of the corresponding area in a certain cycle is far greater than that of the previous cycle, it means that the electricity consumption of this area has increased dramatically in this cycle. Then it is necessary to mark this area as the corresponding incremental area, and conduct subsequent relevant analysis to determine the relevant incremental period of this incremental area, conduct comprehensive analysis, and carry out subsequent related power planning.

[0038] S2. Based on the determined incremental area, a numerical analysis is performed on the short-term electricity consumption of the incremental area in the current specified period and the short-term electricity consumption of the previous specified period. Based on the corresponding numerical analysis results, the incremental period belonging to the current specified period is determined. Within a cycle, not every period is in an incremental state. In some periods, the incremental situation may be almost the same as the electricity consumption of other periods. In some periods, the incremental situation may be larger than that of other periods. In this case, the periods with larger incremental situations are the corresponding incremental periods. In order to achieve better power planning, the incremental period is determined to facilitate the accuracy of subsequent power planning.

[0039] The specific method of numerical analysis is as follows:

[0040] S21. Generate a short-term electricity consumption change curve A for the current specified period based on the electricity consumption corresponding to different moments in the current specified period. Generate a short-term electricity consumption change curve B for the previous specified period based on the electricity consumption of the previous specified period. The horizontal coordinate of the curve is the timeline, and the vertical coordinate is the electricity consumption parameter. The timeline is generally 0-24 hours, which is one period.

[0041] S22. Confirm the changes in short-term electricity consumption change curves A and B during the same period, mark the line segments with the same trend as the same trend segment (that is, the electricity consumption values ​​are both in an increasing or decreasing state during the same period), and mark the line segments with different trends as the different trend segments (that is, the electricity consumption change trends are different during the same period, when the electricity consumption in one set of curves is increasing, the electricity consumption in the other set of curves is in a decreasing state during the same period, and the electricity consumption trends of the two sets of curves are the same);

[0042] S23. Based on the calibrated trend segments, lock the climbing segment whose trend is in an ascending state from the short-term power consumption change curve A, and lock the descending segment with a trend opposite to the climbing segment in the short-term power consumption change curve B, and confirm the difference Ck between the power consumption parameter Yk in the climbing segment and the power consumption parameter Xk at the same moment in the descending segment, where Ck=Yk-Xk, where k represents different moments, and select the maximum and minimum values ​​from the difference Ck greater than 0 to determine the difference interval [Ckmin, Ckmax] displayed by the trend segments of this period. For example, if there are two groups of trend segments, corresponding to two time periods respectively, then two groups of difference intervals are generated for the two time periods, and the corresponding time periods are the total time periods involved in the corresponding trend segments;

[0043] S24. Based on the calibrated trend-identical segments, locate the main climbing segment with an increasing trend from the short-term power consumption change curve A, and locate the secondary climbing segment with the same trend as the main climbing segment from the short-term power consumption change curve B. Then, determine the power consumption difference Ck between the main climbing segment and the secondary climbing segment at the same moment, and use the same extraction method to determine the difference interval [Ckmin, Ckmax].

[0044] S25. Compare the determined difference interval [Ckmin, Ckmax] with the preset value X1. If (Ckmax-X1)>(X1-Ckmin)×C1, where C1 is a preset fixed coefficient factor, the specific value of which is determined by the operator based on experience, and C1 is generally 0.5, the time period corresponding to the corresponding difference interval is calibrated as an incremental time period. Otherwise, no calibration is performed. When the corresponding difference interval is compared using this evaluation method, if the difference between its maximum difference and X1 is much greater than the difference between X1 and the minimum difference, then there is a sharp increase in electricity consumption in the corresponding time period, and the corresponding time period needs to be calibrated as an incremental time period. After the incremental time period is confirmed, subsequent numerical correlation analysis is performed to determine the electricity consumption data of the same period as the current incremental time period in the past, so as to identify the specific electricity consumption data of the incremental time period and the relative time period in the past, and to perform relevant planning based on the relevant performance of the electricity consumption data;

[0045] S3. Based on the incremental period determined in the specified cycle, determine the total amount of electricity consumed in the incremental period. Then, using the incremental period as a characteristic period, determine the total amount of electricity consumed in other periods concurrent with the characteristic period from past electricity consumption data, and perform numerical analysis to calibrate the incremental period as a stable incremental period or a fluctuating incremental period. The specific method of performing the analysis is as follows:

[0046] S31. Mark the current incremental period as a characteristic period, and determine the total electricity consumption Yz of this characteristic period. Then, based on the endpoint time of the characteristic period, lock the same period between the same endpoint time from the past electricity consumption data, and determine the total electricity consumption Zq of other same period, where q represents other different same period in the past. For example, if the characteristic period is 14:00-15:00, then the total electricity consumption between 14:00-15:00 is confirmed in sequence, where q = 1, 2, ..., n, when q is 1, it represents the same period of the first cycle before the current characteristic period, when q is 2, it represents the same period of the second cycle before the current characteristic period, and the maximum value of n is 10;

[0047] S32. Sort the determined groups of total power consumption Zq in a time-ordered manner to generate a numerical sequence, with the last group of total power consumption Yz being placed at the end of the numerical sequence;

[0048] S33. Compare the total amount of electricity consumption at different positions in the numerical sequence. If the previous set of values ​​is greater than the next set of values, a value of "1" is generated; otherwise, a value of "0" is generated. The previous set of values ​​and the next set of values ​​are evaluated in the following manner: the value arranged in front belongs to the previous set of values ​​of the next set;

[0049] S34. Determine the percentage ZB of the number of assigned values ​​F1 within the total number of assigned values ​​Fz (including assigned values ​​1 and 0) in this assessment, where ZB = F1 ÷ Fz. Compare ZB with a preset value Y2. When ZB ≥ Y2, mark this incremental period as a stable incremental period. When ZB < Y2, mark this incremental period as a fluctuating incremental period. The specific value of Y2 is determined by the operator based on experience.

[0050] Specifically, during the period numerical analysis, if the value and period of this increment have not appeared in the past, and it is just the first time that a sharp increase has occurred, then subsequent considerations can be made. If the relevant values ​​of this period are analyzed in subsequent periods to carry out power planning, it is easy to have an excess of planned power, resulting in problems with the accuracy of the power planning process, and thus the corresponding power planning effect cannot be guaranteed;

[0051] If the electricity in the corresponding time period is gradually increasing during the analysis of the past time periods, then such a situation will still occur in the corresponding time periods in the future. In this case, electricity planning needs to be carried out in advance to ensure the accuracy of the electricity planning in the relevant time periods, and to ensure the accuracy of the subsequent electricity planning process to ensure the corresponding electricity planning effect. The subsequent detailed electricity planning process is implemented by Example 2, and electricity planning is carried out for the electricity data of the next cycle based on the electricity data of the previous cycle.

[0052] Example 2

[0053] In the specific implementation process of this embodiment, compared with the above embodiment, this embodiment mainly focuses on the specific power consumption planning process, and its specific implementation method also includes:

[0054] S4. After the stable incremental time periods within the specified cycle are confirmed in sequence, the incremental value of the corresponding stable incremental time period compared with the corresponding time period of the previous specified cycle is confirmed, and based on the specific incremental value, the power output of the same period in the next cycle is adjusted in real time to ensure the overall power planning effect. The specific method of real-time adjustment is:

[0055] S41. Determine the total electricity consumption YD during the stable incremental period based on the stable incremental period of the current specified cycle, and then determine the same period as the current stable incremental period in the previous specified cycle to determine the total electricity consumption DZ during the same period.

[0056] S42. Determine: Electricity difference = YD - DZ, then determine the virtual total amount for the next specified period: virtual total amount = YD + electricity difference, then determine the power output per unit time CLo of the stable incremental period based on the specific duration of the current stable incremental period, and CLo = virtual total amount / specific duration, where o represents different stable incremental periods;

[0057] S43. In the next specified cycle, when the corresponding moment reaches the same period as the current stable increment period, the power output is adjusted to CLo. At the end of the same period, the original set power output is restored to avoid the occurrence of related power load conditions.

[0058] Specifically, in order to achieve better power planning effects, power adjustments are made within the determined stable incremental period, so that the power output value changes within the corresponding stable incremental period, and the power output value in other periods remains unchanged. This will not only avoid excessive power waste, but will also fully guarantee the overall power planning effect and prevent power shortages.

[0059] Example 3

[0060] The specific implementation process of this embodiment includes the entire implementation process of the above two groups of embodiments.

[0061] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0062] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A power grid system planning method based on short-term demand, characterized in that: The following steps are involved: S1. Determine the short-term electricity consumption of a specified period in a specified area, and perform relevant calibration of the incremental area based on the short-term electricity consumption of the specified period and the past electricity consumption; S2. Based on the determined incremental area, numerically analyze the short-term electricity consumption of the incremental area in the current specified period with the short-term electricity consumption of the previous set of specified periods, and determine the incremental period belonging to the current specified period based on the corresponding numerical analysis results; S3. Based on the incremental period determined in the specified cycle, determine the total amount of electricity consumed in the incremental period, then use the incremental period as a characteristic period, determine the total amount of electricity consumed in other periods concurrent with the characteristic period from past electricity consumption data, perform numerical analysis, and calibrate the incremental period as a stable incremental period or a fluctuating incremental period; S4. After the stable incremental time periods within the specified cycle are confirmed in sequence, the incremental value of the corresponding stable incremental time period compared with the corresponding time period of the previous specified cycle is determined, and based on the specific incremental value, the power output of the same period in the next cycle is adjusted in real time; In step S1, the specific method of performing relevant calibration on the incremental area is: S11. Based on a preset designated period, the short-term power consumption determined in the designated period is calibrated as Yd, and then the short-term power consumption Dd of the previous designated period of the designated period is determined from the past power consumption, and whether the short-term power consumption Yd and Dd meet the following conditions: (Yd-Dd)>Y1, where Y1 is a preset value representing the maximum power consumption that can be added. If this assessment condition is met, the designated area of ​​this designated period is marked as an incremental area; In step S2, the specific method of performing numerical analysis on short-term power consumption is: S21. Generate a short-term electricity consumption change curve A for the current specified period based on the electricity consumption corresponding to different moments in the current specified period. Generate a short-term electricity consumption change curve B for the previous specified period based on the electricity consumption of the previous specified period. The horizontal coordinate of the curve is the timeline, and the vertical coordinate is the electricity consumption parameter. S22. Confirm the changes of the short-term electricity consumption change curves A and B in the same period, mark the line segments with the same trend as the same trend segments, and mark the line segments with different trends as the different trend segments; S23. Based on the calibrated trend segments, locate the rising segment whose trend is in a climbing state from the short-term power consumption change curve A, and locate the falling segment whose trend is opposite to the rising segment in the short-term power consumption change curve B. Determine the difference Ck between the power consumption parameter Yk in the rising segment and the power consumption parameter Xk at the same moment in the falling segment, where Ck=Yk-Xk, where k represents different moments. Select the maximum and minimum values ​​from the difference Ck that are greater than 0, and determine the difference range [Ckmin, Ckmax] displayed by the trend segments in this period. S24. Based on the calibrated trend-identical segments, locate the main climbing segment with an increasing trend from the short-term power consumption change curve A, and locate the secondary climbing segment with the same trend as the main climbing segment from the short-term power consumption change curve B. Then, determine the power consumption difference Ck between the main climbing segment and the secondary climbing segment at the same moment, and use the same extraction method to determine the difference interval [Ckmin, Ckmax]. S25. Compare the determined difference interval [Ckmin, Ckmax] with the preset value X1. If (Ckmax-X1)>(X1-Ckmin)×C1, where C1 is a preset fixed coefficient factor, the time period corresponding to the difference interval is calibrated as the incremental time period.

2. The method for planning a power grid system based on short-term demand according to claim 1, characterized in that: When (Yd-Dd)≤Y1, no calibration is performed.

3. The method for planning a power grid system based on short-term demand according to claim 1, characterized in that: In step S25 , when (Ckmax−X1)≤(X1−Ckmin)×C1, no calibration is performed.

4. The method for planning a power grid system based on short-term demand according to claim 1, characterized in that: In step S3, the specific method of marking the current incremental period as a stable incremental period is: S31. Mark the current incremental period as a characteristic period, and determine the total power consumption Yz of this characteristic period. Then, based on the endpoint time of the characteristic period, locate the same period between the same endpoint time from the past power consumption data, and determine the total power consumption Zq of other same period, where q represents other different same period in the past, where q=1, 2, ..., n, where q is 1, represents the same period of the first cycle before the current characteristic period, and q is 2, represents the same period of the second cycle before the current characteristic period, where n has a maximum value of 10; S32. Sort the determined groups of total power consumption Zq in a time-ordered manner to generate a numerical sequence, with the last group of total power consumption Yz being placed at the end of the numerical sequence; S33. Compare the total amount of electricity consumption at different positions in the numerical sequence. If the previous set of values ​​is greater than the next set of values, a value of "1" is generated; otherwise, a value of "0" is generated. The previous set of values ​​and the next set of values ​​are evaluated in the following manner: the value arranged in front belongs to the previous set of values ​​of the next set; S34. Determine the proportion ZB of the number F1 assigned the value "1" in the total number Fz of the current assessment, where ZB = F1 ÷ Fz. Compare the total proportion ZB with the preset value Y2. When ZB ≥ Y2, mark this incremental period as a stable incremental period.

5. The method for planning a power grid system based on short-term demand according to claim 4, characterized in that: In step S34, when ZB<Y2, this incremental period is marked as a fluctuation incremental period.

6. The method for planning a power grid system based on short-term demand according to claim 4, characterized in that: In step S4, the specific method of performing real-time adjustment is: S41. Determine the total electricity consumption YD during the stable incremental period based on the stable incremental period of the current specified cycle, and then determine the same period as the current stable incremental period in the previous specified cycle to determine the total electricity consumption DZ during the same period. S42. Determine: Electricity difference = YD - DZ, then determine the virtual total amount for the next specified period: virtual total amount = YD + electricity difference. Then, based on the specific duration of the current stable incremental period, determine the power output per unit time CLo of the stable incremental period, and CLo = virtual total amount ÷ specific duration, where o represents different stable incremental periods. S43. In the next specified cycle, when the corresponding moment reaches the same period as the current stable increment period, the power output is adjusted to CLo, and at the end of the same period, the originally set power output is restored.

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