A large-scale flexible load resource control method for precise control

Abstract

The present invention discloses a large-scale flexible load resource control method for precise control, which belongs to the technical field of energy resource scheduling. The method includes the following steps: constructing a user tag library, dividing users into stable pressure drop users, ordinary users and flexible control users; constructing a scheduling model for flexible control users based on user classification; performing early pressure drop through stable pressure drop users and ordinary users, and performing real-time prediction of load pressure drop completion rate at intervals to determine whether regulation is required. If not, wait for the next prediction. If necessary, traverse the schedulable time periods of all flexible control users, obtain the start time of each flexible control user based on the scheduling model and put into use. The present invention realizes the refined management of load resources, responds to multiple changes in the supply gap within a day through real-time prediction of load pressure drop completion rate, generates multiple sets of flexible resource control plans, improves execution accuracy, and reduces the disorderly and frequent use of flexible control resources.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy resource scheduling, and specifically relates to a large-scale flexible load resource regulation method for precise control. Background Art

[0002] With the construction of new power systems, the pressure of ensuring supply and stabilizing prices is increasing year by year under the background of high load growth, high penetration of new energy, and a large share of purchased electricity. The balance of power and electricity is always facing great challenges. There may be a situation of oversupply and undersupply of energy and electricity, and even multiple state changes in a day, causing the demand-side supply gap to change multiple times a day. In addition, with the economic recovery and the increasing requirements for power supply year by year, the precise control of load management plans has become an important indicator for judging the effectiveness of power supply companies in ensuring supply and stabilizing prices.

[0003] At present, there are the following pain points in the practice of ensuring power supply on the demand side:

[0004] 1. The users of the scheme are numerous and scattered, and the users are not classified and controlled. According to the gap indicator tasks, the districts and counties have incorporated the user scheme into the new load management system, but the number of scheme users is huge, the user attributes are not classified, and the flexible load resources are not hierarchically controlled. The grassroots need to use the human sea tactics to control each household to ensure that each household is fully implemented, which brings hidden risks of public opinion.

[0005] 2. The plan is not managed in a orderly manner, and the final results cannot be predicted. During the implementation of the plan, the current management and control mode cannot provide a startup plan for flexible load resources. Users are often allowed to start and stop repeatedly based on experience, resulting in disordered management and control. Moreover, the district and county companies cannot predict the final results, and only make rough judgments based on the instantaneous completion rate, which makes it impossible to conduct precise control and flexible adjustment of the plan.

[0006] 3. Changes in the gap during the day, and no flexibility in the control plan. With the popularization of new load reduction methods such as artificial rainfall, the supply forecast gap will change many times during the day, but the requirements for precise control are increasing year by year, requiring municipal, district and county companies to have load flexibility that can be increased or decreased. However, at the current stage, there are no algorithms, models and other auxiliary tools in the new load management system to guide municipal, district and county companies to formulate load management plans with flexibility, which cannot adapt to changes in the gap during the day and the requirements for precise control, bringing difficulties to the grassroots.

[0007] Therefore, from the perspective of load management on the demand side of power supply security, it is urgently necessary to coordinate and interact efficiently through the rapid regulation of flexible load resources and the rigid measures of traditional load management, so that the two can jointly promote the efficient use of load resources and the precise control of supply security measures. Summary of the invention

[0008] The purpose of the present invention is to provide a large-scale flexible load resource regulation method for precise control, so as to solve the problems that the existing demand-side power supply does not classify user attributes, cannot provide a startup plan for flexible load resources, and the control plan has no flexibility.

[0009] In order to achieve the above object, the technical solution of the present invention is as follows:

[0010] The present invention relates to a large-scale flexible load resource control method for precise control, which comprises the following steps:

[0011] S1. Build a user tag library to classify users into stable pressure drop users, ordinary users, and flexible regulation users;

[0012] S2. Construct a scheduling model that flexibly regulates users based on user classification;

[0013] S3. Perform early pressure reduction by stable pressure reduction users and ordinary users, make a real-time prediction of the load pressure reduction completion rate at intervals, and judge whether regulation is needed based on the real-time predicted load pressure reduction completion rate. If regulation is needed, enter S4; if regulation is not needed, wait for the next prediction;

[0014] S4. Traverse the schedulable time periods of all flexible control users, and obtain the start time of each flexible control user based on the flexible control user's scheduling model;

[0015] S5. According to the flexible control of the user's opening time investment plan;

[0016] S6. Return to S3 after completing the response.

[0017] Preferably, the scheduling strategy algorithm of the scheduling model for flexibly regulating users constructed by S2 is:

[0018] S 需调节电量下限 ≤S 灵活1、2、3..n ≤S 需调节电量上限 ,

[0019] Among them, S 灵活1、2、3..n represents the flexible load resources for flexible regulation of users, S 需调节电量下限 and S 需调节电量上限 Respectively represent the lower limit and upper limit of the power that needs to be adjusted;

[0020] The expression for flexibly regulating the user's flexible load resources is:

[0021] ,

[0022] Where n represents the number of flexible control users, T 启动represents the starting point of the corresponding flexible control user, A is a constant, and a is the response capacity coefficient of the corresponding flexible control resource;

[0023] ;

[0024] ;

[0025] The baseline is used to reflect the average load status of users over several working days. 基线 is the user baseline average, p 启动 is the average power when the user starts regulation, p 未启动 is the average power when the user does not start regulation, p 恢复 is the average power after the user starts the regulation, T 总点位 is the total time point of executing the plan, T 预测 is the point at which the model is used for prediction, T 恢复 It is the recovery time point after flexible load resource regulation.

[0026] Preferably, the step of constructing the flexible load resources of the flexible regulation user in S2 includes:

[0027] S2.1. Construct a voltage drop electricity equation for a single flexible control user, the equation is:

[0028] ,

[0029] Among them, S 灵活 Indicates the voltage drop of a single flexible control user;

[0030] S2.2. Taking the starting point of the flexible control user as the only variable, the voltage drop electricity equation of a single flexible control user is simplified and merged to form the final load resource equation of a single flexible control user, which is:

[0031] S 灵活 =A+aT 启动 ,

[0032] S2.3. Construct multiple load resource equations for flexible regulation of users. The equation is:

[0033] ,

[0034] S2.4. Based on the load resource equations of multiple flexible control users, a scheduling model for flexible control users is constructed.

[0035] Preferably, the regulation period T in the voltage drop electricity equation of a single flexible regulation user in S2.1 总点位 The point T where the user recovers 恢复 Similarly, at this time, the voltage drop electricity equation of a single flexible control user becomes:

[0036] .

[0037] Preferably, the lower limit of the amount of electricity to be adjusted and the upper limit of the amount of electricity to be adjusted are obtained based on the total voltage drop amount during the execution of the stable voltage drop user and the total voltage drop amount during the execution of the ordinary user, specifically:

[0038] S 需调节电量下限 =S 指标下限 -S 稳定 -S 普通max ;

[0039] S 需调节电量上限 =S 指标上限 -S 普通min ;

[0040] Among them, S 指标上限 and S 指标下限 are the upper and lower limits of the set voltage drop, S 稳定 To stabilize the voltage drop, the total voltage drop power during the user execution process, S 普通min and S 普通max They are the minimum and maximum values ​​of the total voltage drop during the execution of ordinary users.

[0041] The calculation formula for the total voltage drop electricity during the stable voltage drop user execution process is:

[0042] ;

[0043] The calculation formula for the total voltage drop power range during the execution process of ordinary users is:

[0044] ;

[0045] ;

[0046] Among them, p 基线 is the user baseline average, the baseline is the load average, P 平均响应 is the average power of user participation response, T 方案时长 is the overall duration of the program, S 最小波动电量 , S 最大波动电量为用户 They are the minimum and maximum values ​​of the fluctuation of power production.

[0047] Preferably, the specific steps of S3 are:

[0048] S3.1. Set the upper and lower limits of the voltage drop task completion rate, and predict the voltage drop completion rate in real time based on the voltage drop electricity before the prediction point and the predicted voltage drop electricity after the prediction point. The calculation formula for the voltage drop completion rate is:

[0049] ,

[0050] Among them, f 预测压降完成率 To predict the pressure drop completion rate in real time, P 平均已压降 is the average value of the voltage drop before the prediction point, T 已发生点位 is the time point from the start of the program to the observation point, P 实时预测 is the instantaneous voltage drop power at the prediction point, T 剩余点位 is the remaining time point from the prediction point to the end of the plan, P 计划压降 It is a planned voltage drop power with fixed start and stop periods;

[0051] S3.2. Determine the relationship between the real-time predicted pressure reduction completion rate and the upper and lower limits of the pressure reduction task. If the real-time predicted pressure reduction completion rate is between the upper and lower limits of the pressure reduction task, it is determined that no adjustment is required; if the real-time predicted pressure reduction completion rate is less than the lower limit of the pressure reduction task or greater than the upper limit of the pressure reduction task, it is determined that adjustment is required.

[0052] Preferably, the specific steps of obtaining the start time of each flexible control user based on the scheduling model of the flexible control user in S4 are: inputting the schedulable time period of all flexible control users, traversing all possible combinations of start time of n flexible control users, sequentially bringing them into the expression of flexible load resources of the flexible control users, and calculating the flexible load resources S under various combinations. 灵活1、2、3..n , the output satisfies the scheduling strategy algorithm S 需调节电量下限 ≤S 灵活1、2、3..n ≤S 需调节电量上限 Based on the combination of flexible load resource startup time, one set of flexible resource user startup plans is selected for regulation.

[0053] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0054] 1. The large-scale flexible load resource control method for precise control involved in the present invention builds a user tag library, divides users into stable pressure reduction users, ordinary users and flexible control users according to their actual pressure reduction results, builds a scheduling model for flexible control users based on user classification, and puts them into use in an orderly manner according to the model calculation results. It realizes the refined management of load resources and hierarchically controls flexible load resources.

[0055] 2. The large-scale flexible load resource control method for precise control involved in the present invention performs preliminary pressure reduction through stable pressure reduction users and ordinary users, performs real-time prediction of load pressure reduction completion rate at intervals, and determines whether regulation is needed based on the real-time predicted load pressure reduction completion rate. If regulation is needed, the dispatchable time periods of all flexible control users are traversed, and the start time of each flexible control user is obtained based on the scheduling model of the flexible control users. The real-time prediction of load pressure reduction completion rate is used to cope with multiple changes in the supply gap during the day, and multiple groups of flexible resource control plans can be generated for supply personnel to choose, and flexible load resources are invested in an orderly manner to assist wartime command, improve execution accuracy, reduce the disorderly and frequent use of flexible control resources, and reduce risks such as public opinion and device failure. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] FIG1 is a flow chart of a large-scale flexible load resource control method for precise control;

[0057] Figure 2 Schematic diagram of flexible load resource calling for flexible regulation of user's scheduling model. DETAILED DESCRIPTION

[0058] In order to further understand the content of the present invention, the present invention is described in detail in conjunction with examples. The following examples are used to illustrate the present invention but are not used to limit the scope of the present invention.

[0059] See attached Figure 1 As shown, the present invention relates to a large-scale flexible load resource control method for precise control, comprising the following steps:

[0060] S1. Build a user tag library and divide users into stable pressure reduction users, ordinary users and flexible regulation users: In accordance with the principle of "system generation first, manual investigation and supplement, continuous iteration and improvement", a big data analysis tag library and a manual investigation tag library are established to form a user load resource tag system from three dimensions: basic information, load characteristics and behavioral characteristics. The basic information mainly includes industry category, whether it is an above-scale enterprise, and related upstream and downstream enterprises; the load characteristics mainly include whether it is a continuous production enterprise, whether it is a stable load, production load, non-production load, and adjustable load (advance notice time, response ramp time, duration, adjustable direction, and adjustment method); the behavioral characteristics mainly include centralized maintenance, average implementation rate of historical participation measures, average load pressure reduction depth, cumulative number of participation plans, plan execution accuracy rate, demand response participation willingness, etc., to achieve layered, graded and classified monitoring and display of load resources.

[0061] The so-called stable voltage drop users refer to users who shut down, plan to start and stop, etc. Such users account for a large proportion of the number of users in the plan. Through the confirmation of early users, combined with the average baseline (peak, peak, flat section, valley) of different periods in the plan under the time-of-use electricity price of such users and the expected average load in the corresponding period, this part is manually maintained. It is the actual production capacity of the user. After the customer manager connects with the user and enters the system, the voltage drop electricity can be calculated through linear operation. During the execution of the plan, the total voltage drop electricity is a constant, set as S 稳定 , the calculation formula for the total voltage drop electricity during the stable voltage drop user execution process is:

[0062] ;

[0063] The so-called ordinary users, such as those with large impacts from photovoltaic fluctuations (not involving the evening peak), unstable corporate production, etc., account for a small proportion of the number of users in the plan. Combined with the average baselines of different periods in the plan under the time-of-use electricity price of such users (peak, peak, flat section, valley) and the expected average load in the corresponding period, in the actual docking with such users, the users have a grasp of the photovoltaic or production line conditions of their own enterprises. There are maximum and minimum voltage drop power intervals outside the normal production period. In the execution of the plan, the total voltage drop power is also a constant, that is, S 普通 (min, max), the calculation formula for the total voltage drop range during the execution of ordinary users is:

[0064] ;

[0065] ;

[0066] Among them, the P involved in the calculation formula of the total voltage drop power during the execution of the stable voltage drop user and the calculation formula of the total voltage drop power range during the execution of the ordinary user 基线 is the user baseline average, the baseline is the load average of the previous 5 days under the PJM algorithm, is the system calculated value, P 平均响应 is the average power of user participation response, T 方案时长 is the overall duration of the program, S 最小波动电量 and S 最大波动电量 They represent the minimum and maximum fluctuations of the power produced by itself, which are constants;

[0067] The so-called flexible regulation users refer to the demand-side flexible resources, which are various resources that can be stably dispatched during the load management period and can quickly increase or reduce power to cope with changes in the supply and demand of the power system. These resources can help overcome the intermittency and uncertainty of wind and solar power and achieve the regulation of peak and valley loads in the power system to ensure the stability of the system frequency. These resources can increase or decrease power supply and power demand at different time scales to ensure the stability of the power system, such as self-provided power plants, energy storage, fast start and stop production lines and other users. Such users are few in number among the users of the plan, and they are all core load regulation resources controlled by cities, districts and counties.

[0068] S2. A scheduling model for flexible user regulation is constructed based on user classification. The scheduling strategy algorithm of the scheduling model for flexible user regulation is:

[0069] S 需调节电量下限 ≤S 灵活1、2、3..n ≤S 需调节电量上限 ,

[0070] Among them, S 灵活1、2、3..n represents the flexible load resources for flexible regulation of users, S 需调节电量下限 and S 需调节电量上限 Respectively represent the lower limit and upper limit of the power that needs to be adjusted;

[0071] The expression for flexibly regulating the user's flexible load resources is:

[0072] ,

[0073] Where n represents the number of flexible control users, T 启动 represents the starting point of the corresponding flexible control user, A is a constant, and a is the response capacity coefficient of the corresponding flexible control resource;

[0074] ;

[0075] ;

[0076] The baseline is used to reflect the average load status of users over several working days and is a system calculated value. 基线 is the user baseline average; p 启动 is the average power when the user starts regulation, p 未启动 It is the average power when the user does not start the regulation, reflecting the state before participating in the regulation, which is manually maintained by grassroots personnel and is a constant; p 恢复 It is the average power after the user starts the regulation, reflecting the state after the regulation, which is manually maintained by grassroots personnel and is a constant; T 总点位 The total time points for executing the plan are collected every fifteen minutes, and four points are collected in one hour. 总点位 = total number of hours of the program * 4; T预测 is the point at which the prediction is made; T 恢复 It is the recovery time point after flexible load resource regulation.

[0077] The steps for constructing the flexible load resources for flexible regulation of users include:

[0078] S2.1. Construct a voltage drop electricity equation for a single flexible control user, the equation is:

[0079] ,

[0080] Among them, S 灵活 Indicates the voltage drop of a single flexible control user;

[0081] If there are special circumstances, the flexible control user does not recover after responding until the end of the plan. At this time, the control period T in the voltage drop power equation of a single flexible control user 总点位 The point T where the user recovers 恢复 The same, that is, T 恢复 =T 总点位 ; The voltage drop equation of a single flexible control user becomes:

[0082] .

[0083] S2.2. Simplify and merge the voltage drop and electricity equation of the above-mentioned single flexible control user to obtain the equation:

[0084] ,

[0085] In the above equation, only the user's starting point T can be flexibly adjusted. 启动 is a variable, so the final load resource equation of a single flexible control user can be expressed as:

[0086] S 灵活 =A+aT 启动 .

[0087] S2.3. Construct multiple load resource equations for flexible regulation of users. The equation is:

[0088] ,

[0089] S2.4. Based on the load resource equations of multiple flexible control users, a scheduling model for flexible control users is constructed, that is, the scheduling strategy algorithm of the scheduling model for flexible control users is:

[0090] S 需调节电量下限 ≤S 灵活1、2、3..n ≤S 需调节电量上限 ;

[0091] In the scheduling strategy algorithm of the scheduling model of the above-mentioned flexible control user, the lower limit of the amount of electricity to be adjusted and the upper limit of the amount of electricity to be adjusted are obtained based on the total voltage drop amount during the execution of the stable voltage drop user and the total voltage drop amount during the execution of the ordinary user, specifically:

[0092] S 需调节电量下限 =S 指标下限 -S 稳定 -S 普通max ;

[0093] S 需调节电量上限 =S 指标上限 -S 普通min ;

[0094] Among them, S 指标上限 and S 指标下限 are the upper and lower limits of the set voltage drop, S 稳定 To stabilize the voltage drop, the total voltage drop power during the user execution process, S 普通min and S 普通max They are the minimum and maximum values ​​of the total voltage drop during the execution of ordinary users.

[0095] S3. Perform early pressure reduction by stable pressure reduction users and ordinary users, make real-time prediction of load pressure reduction completion rate at intervals, and judge whether regulation is needed based on the real-time predicted load pressure reduction completion rate. If regulation is needed, further calculate the regulated pressure reduction power. The specific steps are as follows:

[0096] S3.1. Set the upper and lower limits of the voltage drop task completion rate, and predict the voltage drop completion rate in real time based on the voltage drop electricity before the prediction point and the predicted voltage drop electricity after the prediction point. The calculation formula for the voltage drop completion rate is:

[0097]

[0098] Among them, f 预测压降完成率 To predict the pressure drop completion rate in real time, P 平均已压降 is the average value of the voltage drop before the prediction point, T 已发生点位 is the time point from the start of the program to the observation point, P 实时预测 is the instantaneous voltage drop power at the prediction point, T 剩余点位 is the remaining time point from the prediction point to the end of the plan, P 计划压降 is the planned voltage drop power;

[0099] S3.2. Determine the relationship between the real-time predicted pressure reduction completion rate and the upper and lower limits of the pressure reduction task. If the real-time predicted pressure reduction completion rate is between the upper and lower limits of the pressure reduction task, no adjustment is required, and this regulation ends, waiting for the next prediction point. If the real-time predicted pressure reduction completion rate is not between the upper and lower limits of the pressure reduction task, adjustment is required, and enter S4.

[0100] S4. Traverse the schedulable time periods of all flexible control users, and obtain the start time of each flexible control user based on the scheduling model of the flexible control users. This embodiment takes three flexible control users as an example to further illustrate how to obtain the start time of each flexible control user: input the schedulable time periods of all flexible control users, for example, flexible control user 1 can only be put into execution at the 6th point after the start of the plan, and can last until the 24th point; flexible control user 2 can only be put into execution at the 8th point after the start of the plan, and can last until the 20th point; flexible control user 3 can only be put into execution at the 10th point after the start of the plan, and can last until the 18th point. Traverse all possible combinations of start time (T1, T2, T3) of the three flexible control users, and bring them into the scheduling strategy algorithm S of the scheduling model of the flexible control users in turn. 需调节电量下限 ≤S 灵活1、2、3..n ≤S 需调节电量上限 In the output, the combination of flexible control user start time that satisfies is output, such as (8, 10, 14), (9, 11, 13), (10, 12, 10), which means that there are three reasonable solutions for the three flexible resource controls participating in the scheme, and there are three sets of start plans. One of the plans is selected to start each flexible control user for control;

[0101] S5. According to the flexible control of the user's opening time investment plan;

[0102] S6. After completing the response, return to S3 to implement rolling optimization.

[0103] The present invention is described in detail above in conjunction with the embodiments, but the contents described are only preferred embodiments of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of application of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A large-scale flexible load resource control method for precise control, characterized by: It includes the following steps: S1. Build a user tag library to classify users into stable pressure drop users, ordinary users, and flexible regulation users; S2. A scheduling model for flexible user regulation is constructed based on user classification. The scheduling strategy algorithm of the scheduling model for flexible user regulation is: S 需调节电量下限 ≤S 灵活1、2、3..n ≤S 需调节电量上限 , Among them, S 灵活1、2、3..n represents the flexible load resources for flexible regulation of users, S 需调节电量下限 and S 需调节电量上限 Respectively represent the lower limit and upper limit of the power that needs to be adjusted; The expression for flexibly regulating the user's flexible load resources is: ， Where n represents the number of flexible control users, T 启动 represents the starting point of the corresponding flexible control user, A is a constant, and a is the response capacity coefficient of the corresponding flexible control resource; ； ； The baseline is used to reflect the average load status of users over several working days. 基线 is the user baseline average, p 启动 is the average power when the user starts regulation, p 未启动 is the average power when the user does not start regulation, p 恢复 is the average power after the user starts the regulation, T 总点位 is the total time point of executing the plan, T 预测 is the point at which the model is used for prediction, T 恢复 It is the recovery time point after flexible load resource regulation; The steps to build flexible load resources for flexible regulation of users include: S2.

1. Construct a voltage drop electricity equation for a single flexible control user, the equation is: ， Among them, S 灵活 Indicates the voltage drop of a single flexible control user; S2.

2. Taking the starting point of the flexible control user as the only variable, the voltage drop electricity equation of a single flexible control user is simplified and merged to form the final load resource equation of a single flexible control user, which is: S 灵活 =A+aT 启动 , S2.

3. Construct multiple load resource equations for flexible regulation of users. The equation is: ， S2.

4. Construct a dispatching model for flexible control users based on the load resource equations of multiple flexible control users S3. Perform early pressure reduction by stable pressure reduction users and ordinary users, make a real-time prediction of the load pressure reduction completion rate at intervals, and judge whether regulation is needed based on the real-time predicted load pressure reduction completion rate. If regulation is needed, enter S4; if regulation is not needed, wait for the next prediction; S4. Traverse the schedulable time periods of all flexible control users, and obtain the start time of each flexible control user based on the flexible control user's scheduling model; S5. According to the flexible control of the user's opening time investment plan; S6. Return to S3 after completing the response.

2. The method for large-scale flexible load resource regulation for precise control according to claim 1 is characterized in that: The regulation period T in the voltage drop electricity equation of a single flexible regulation user in S2.1 总点位 The point T where the user recovers 恢复 Similarly, at this time, the voltage drop electricity equation of a single flexible control user becomes: 。 3. The method for large-scale flexible load resource regulation for precise control according to claim 1 is characterized in that: The lower limit of the amount of electricity to be adjusted and the upper limit of the amount of electricity to be adjusted are obtained based on the total voltage drop amount during the execution of the stable voltage drop user and the total voltage drop amount during the execution of the ordinary user, specifically: S 需调节电量下限 =S 指标下限 -S 稳定 -S 普通max ; S 需调节电量上限 =S 指标上限 -S 普通min ; Among them, S 指标上限 and S 指标下限 are the upper and lower limits of the set voltage drop, S 稳定 To stabilize the voltage drop, the total voltage drop power during the user execution process, S 普通min and S 普通max They are the minimum and maximum values ​​of the total voltage drop during the execution of ordinary users. The calculation formula for the total voltage drop electricity during the stable voltage drop user execution process is: ； The calculation formula for the total voltage drop power range during the execution process of ordinary users is: ； ； Among them, p 基线 is the user baseline average, the baseline is the load average, P 平均响应 is the average power of user participation response, T 方案时长 is the overall duration of the program, S 最小波动电量 , S 最大波动电量为用户 They are the minimum and maximum values ​​of the fluctuation of power production.

4. The method for large-scale flexible load resource regulation for precise control according to claim 1 is characterized in that: The specific steps of S3 are: S3.

1. Set the upper and lower limits of the voltage drop task completion rate, and predict the final voltage drop completion rate in real time based on the voltage drop power before the prediction point and the instantaneous voltage drop power at the prediction point. The calculation formula for the voltage drop completion rate is: ， Among them, f 预测压降完成率 To predict the pressure drop completion rate in real time, P 平均已压降 is the average value of the voltage drop before the prediction point, T 已发生点位 is the time point from the start of the program to the observation point, P 实时预测 is the instantaneous voltage drop power at the prediction point, T 剩余点位 is the remaining time point from the prediction point to the end of the plan, P 计划压降 It is a planned voltage drop power with fixed start and stop periods; S3.

2. Determine the relationship between the real-time predicted pressure reduction completion rate and the upper and lower limits of the pressure reduction task. If the real-time predicted pressure reduction completion rate is between the upper and lower limits of the pressure reduction task, it is determined that no adjustment is required; if the real-time predicted pressure reduction completion rate is less than the lower limit of the pressure reduction task or greater than the upper limit of the pressure reduction task, it is determined that adjustment is required.

5. The method for large-scale flexible load resource regulation for precise control according to claim 1 is characterized in that: The specific steps of S4 for obtaining the start time of each flexible control user based on the scheduling model of the flexible control user are: inputting the schedulable time period of all flexible control users, traversing all possible combinations of start time of n flexible control users, sequentially bringing them into the expression of the flexible load resources of the flexible control users, and calculating the flexible load resources S under various combinations. 灵活1、2、3..n , the output satisfies the scheduling strategy algorithm S 需调节电量下限 ≤S 灵活1、2、3..n ≤S 需调节电量上限 Based on the combination of flexible load resource startup time, one set of flexible resource user startup plans is selected for regulation.

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