High-proportion new energy power grid wind-solar-thermal storage collaborative advanced pre-control method and system

Abstract

The invention discloses a high-proportion new energy power grid wind-light-fire-storage collaborative advanced pre-control method and system. The method comprises the steps that an automatic generation control system AGC control area is established in a power grid dispatching control center; carrying out advanced pre-control scanning according to a fixed period, and periodically obtaining data for advanced pre-control; calculating a new energy power generation pre-control deviation and an electrical load pre-control deviation; calculating a power grid regulation advanced pre-control demand; judging the pre-control regulation capability of the wind, light and fire storage resources, and calculating standby distribution coefficients of different types of pre-control regulation capabilities; judging whether advanced pre-control needs to be started or not according to the power grid regulation pre-control requirement, the pre-control regulation capability and the corresponding standby distribution coefficient; according to the judgment result, the distribution of the corresponding pre-control demand and the distribution of the adjusting unit are carried out; compared with a traditional method, the method can optimize the power grid adjustment requirement and improve the safe operation level of the power grid.

Description

Technical Field

[0001] The present invention relates to a method and system for coordinated advance control of wind, solar, thermal and storage, and in particular to a method and system for coordinated advance control of wind, solar, thermal and storage in a high-proportion new energy power grid, belonging to the technical field of active power control of power systems. Background Art

[0002] As more and more new energy bases are built, it is becoming increasingly difficult for the power grid to fully absorb new energy while ensuring safe and stable operation and active power control performance, and higher requirements are also placed on power grid dispatching and active power control. The rapid growth of new energy installed capacity and the concentrated distribution of new energy resources have limited the peak-shaving capacity of the power grid, leading to new energy power restrictions in some areas. In order to promote the orderly and reasonable absorption of new energy, scholars in the industry have conducted in-depth research on key technical issues such as new energy power prediction, new energy acceptance capacity assessment, dispatching and control modes after centralized access of intermittent energy such as new energy, and automatic power generation control strategies including new energy and conventional energy.

[0003] With the continuous increase in the proportion of electricity and power in the power grid, the impact of new energy sites on the power balance and frequency safety operation of the access power grid is becoming more and more obvious. In order to ensure the safe and stable operation of the frequency of the high-proportion new energy power grid and support the safe priority consumption of new energy, it is necessary to make full use of the regulation capabilities of various resources (wind, solar, thermal, and storage) in the entire network. Therefore, the automatic generation control application (Automatic Generation Control, AGC) in the EMS system of the dispatching and control agency (hereinafter referred to as the control system) performs unified optimization of the entire network, conducts advance control according to the threshold of safe operation of the control frequency of the entire network, and comprehensively considers the regulation capabilities of various current regulation resources of the power grid. According to the prediction results and prediction deviations of future load and new energy power changes, it is judged whether the power grid needs to carry out advance control. By coordinating the spare distribution of slow regulation resources and fast regulation resources, the advance control of slow resources is used to ensure the safety of power grid frequency operation and improve the safe and reliable power supply capacity of the power grid.

[0004] In the existing technology, there is a high proportion of new energy power grid due to high temperature, ice and snow and other weather factors. The new energy power or rapid changes lead to insufficient regulation capacity of conventional thermal power units, which can easily lead to the problem that the power imbalance of the power grid cannot be quickly eliminated and affects the safe operation of the power grid. Summary of the invention

[0005] Purpose of the invention: The purpose of the invention is to provide a method and system for coordinated advance control of a high-proportion new energy power grid with wind, solar, thermal and storage, which can optimize the grid regulation needs and improve the safe operation level of the grid.

[0006] Technical solution: The method for coordinated advance control of wind, solar, thermal and energy storage in a high-proportion new energy power grid described in the present invention includes:

[0007] (1) Establish an automatic generation control system AGC control area in the power grid dispatching and control center to implement closed-loop control of wind, solar, thermal and energy storage resources within the dispatching and control range to ensure that the grid frequency and interconnection line power are close to the planned values; the wind, solar, thermal and energy storage resources include thermal power units, new energy stations and energy storage stations;

[0008] (2) The AGC performs advance control scanning at a fixed period and periodically obtains data for advance control; the data includes actual sampling data of new energy power generation in a single advance control period, actual sampling data of power load in a single advance control period, new energy power generation forecast data, and power load forecast data;

[0009] (3) Based on the actual sampling data of new energy power generation in a single pre-control period and the forecast data of new energy power generation, the pre-control deviation of new energy power generation is calculated; based on the actual sampling data of power grid power load in a single pre-control period and the forecast data of power load, the pre-control deviation of power load is calculated; and the advance pre-control demand of power grid regulation is calculated;

[0010] (4) Based on the AGC, the regulation rate of wind, solar, thermal and storage resources is obtained, and the pre-control regulation capability of wind, solar, thermal and storage resources is determined. The pre-control regulation capability includes: slow regulation resources, minute-level medium-speed regulation resources and second-level fast regulation resources, and the standby distribution coefficients of different types of pre-control regulation capabilities are calculated;

[0011] (5) Determine whether to start advance control based on the grid regulation advance control demand, advance control regulation capacity and corresponding standby distribution coefficient; and allocate the corresponding advance control demand and adjust the allocation of units based on the judgment result.

[0012] Furthermore, the renewable energy power generation forecast data and power load forecast data in step (2) are obtained according to the renewable energy power generation forecast and load forecast functions of the power grid dispatching system;

[0013] The new energy power generation forecast data has a data period from the current time to the next hour;

[0014] The power load forecast data has a data period from the current time to the next hour;

[0015] The actual sampling data of new energy power generation and power load in a single pre-control cycle is based on a past pre-control cycle, a preset sampling interval, and actual sampling data of several sampling points are collected.

[0016] Furthermore, the step (3) of calculating the new energy power generation pre-control deviation based on the actual sampling data of new energy power generation in a single pre-control period and the new energy power generation forecast data includes:

[0017] Based on the actual sampling data of renewable energy power generation in a single pre-control period, the validity of the data is judged. The data is cleaned from three aspects: the measurement quality, unchanged data and obvious abnormal data of the actual sampling data of renewable energy power generation. Invalid measurement data is excluded to form a valid renewable energy power generation sampling data sequence X for the pre-control period:

[0018] X=[x1,x2,...,x N ] (1)

[0019] Where N is the sequence length; based on the effective new energy power generation sampling data sequence X, a linear fitting method is used to obtain the slope K of the first fitting result of the actual sampling data of new energy power generation in a single pre-control period. s and intercept B s ;

[0020] Based on the forecast data of renewable energy power generation, the slope and intercept of 5 minutes and 15 minutes are obtained according to the different lengths of forecast data. The formula is as follows:

[0021]

[0022] Where: y0 is the prediction result of the current point, y a Predict the results for future time periods, t0 and t a is the current time and the future predicted time. When a=1, it means the next 5 minutes, and when a=2, it means the next 15 minutes. (t a ,y a ) and (t0,y0) form a linear function; K a is the slope of the prediction result. When a=1, it indicates the slope of the prediction result for the next 5 minutes. When a=2, it indicates the slope of the prediction result for the next 15 minutes. a is the intercept of the prediction result. When a=1, it means the intercept of the prediction result for the next 5 minutes. When a=2, it means the intercept of the prediction result for the next 15 minutes.

[0023] Calculate the pre-control deviation of renewable energy power generation in the next two periods:

[0024]

[0025] Where: ΔN a is the new energy pre-control deviation in the future period. When a=1, it means the new energy power generation pre-control deviation in the next 5 minutes, and when a=2, it means the new energy power generation pre-control deviation in the next 15 minutes.

[0026] Furthermore, the step (3) of calculating the power load pre-control deviation based on the actual sampling data of the power load of the power grid in a single pre-control period and the power load forecast data includes:

[0027] Based on the actual sampling data of the power load in a single pre-control cycle, the data validity is judged, and the data is cleaned from four aspects: the measurement quality bit, data unchanged, data mutation amount and obvious data abnormality of the power load sampling data, and invalid measurement data is excluded to form a valid power load sampling data sequence for the pre-control cycle, which is expressed by the following formula:

[0028] L=[l1,l2,...,l N ] (4)

[0029] Where N is the sequence length; based on the effective power load sampling data sequence L, a linear fitting method is used to obtain the slope M of the first fitting result of the power load sampling data of a single pre-control period. s and the intercept Q s ;

[0030] Based on the power load forecast data, the slope and intercept of 5 minutes and 15 minutes are obtained according to the different lengths of forecast data. The calculation method is as follows:

[0031]

[0032] Where: z0 is the prediction result of the current point, z a Predict the results for future time periods, t0 and t a For the current time and the future predicted time, a=1 means 5 minutes in the future, and a=2 means 15 minutes in the future. (t a ,z a ) and (t0,z0) form a linear function; M a is the slope of the prediction result. When a=1, it indicates the slope of the prediction result for the next 5 minutes. When a=2, it indicates the slope of the prediction result for the next 15 minutes. a is the intercept of the prediction result. When a=1, it means the intercept of the prediction result for the next 5 minutes. When a=2, it means the intercept of the prediction result for the next 15 minutes.

[0033] Calculate the forecast adjustment deviation of the power load in the next two periods:

[0034]

[0035] Where: ΔL a is the energy pre-control deviation for the future period. When a=1, it indicates the power load pre-control deviation for the next 5 minutes; when a=2, it indicates the power load pre-control deviation for the next 15 minutes.

[0036] Furthermore, the calculation of the advance control demand of power grid regulation in step (3) includes:

[0037] ΔP a =ΔN a -ΔLa (7)

[0038] Where a = 1, ΔP a Indicates the grid regulation advance control demand in the next 5 minutes. When a=2, ΔP a Indicates the grid regulation advance control demand in the next 15 minutes.

[0039] Furthermore, the step (4) comprises:

[0040] (41) For a thermal power unit whose regulation rate is lower than the rated regulation rate by more than 1.5% of the installed capacity per minute, it is determined to be a slow regulation resource. The regulation capacity of the slow regulation resource is as follows:

[0041]

[0042] Where: P h is the regulation rate of the slow regulation resource, n is the number of slow regulation resource units; r i is the rated speed of the i-th unit, P uh is the regulating capacity of the unit, L ui The upper limit of regulation of the i-th unit, G i is the real-time active power value of the i-th unit, P dh is the unit's down regulation capacity, L di is the lower limit of regulation of the i-th unit;

[0043] (42) For thermal power units and new energy stations whose regulation rate is greater than the rated regulation rate by more than 1.5% of the installed capacity per minute, they are determined to be minute-level medium-speed regulation resources; the regulation capacity and regulation rate of the thermal power units in the minute-level medium-speed regulation resources are calculated as shown in formula (8), and the regulation capacity and regulation rate of the new energy stations in the minute-level medium-speed regulation resources are calculated as shown in formula (9):

[0044]

[0045] Where: S n is the total regulation rate of the new energy station, N j is the regulation rate of the jth new energy station, S un is the upward regulation capacity of the new energy station, W j is the upper limit of regulation of the jth renewable energy station. For renewable energy stations without power restriction, this value is equal to the real-time active power value of the renewable energy station. dn is the downward regulation capacity of the new energy station, P j is the real-time active power value of the jth new energy station, V j is the lower limit of regulation of the j-th new energy station, which shall not be less than 5% of the installed capacity of the station;

[0046] (43) For an energy storage station capable of responding in seconds, it is determined to be a second-level fast regulation resource with a second-level response. The regulation capability of the second-level fast regulation resource is calculated as shown in formula (10):

[0047]

[0048] Where: F c is the total regulation rate of the energy storage station, m is the number of energy storage stations, C b is the regulation rate of the bth energy storage station, which is calculated as 100% of its installed capacity per minute. uc is the total upper adjustment space of the energy storage station, H b is the upper limit of the regulation of the b-th energy storage station, generally the installed capacity of energy storage, F dc is the overall downward regulation capacity of the energy storage station, M b is the lower limit of regulation of the b-th energy storage station, P b is the real-time active value of the b-th energy storage;

[0049] (44) Calculate the spare distribution coefficients of the three types of resources respectively:

[0050]

[0051] Where: P Index , S index and F index They are the standby distribution coefficients of slow adjustment resources, minute-level medium-speed adjustment resources, and second-level fast adjustment resources.

[0052] Furthermore, the step (5) comprises:

[0053] By adjusting the central frequency safety threshold fRL, the pre-control demand thresholds of the current power grid in different periods are calculated:

[0054]

[0055] Where: f is the real-time frequency value of the power grid, Bias is the frequency demand coefficient of the power grid, f P1 and f P2 The pre-control demand thresholds are 5 minutes and 15 minutes respectively;

[0056] If the advance control demands of the two time periods calculated by formula (7) are both lower than the corresponding control demand thresholds, it is considered that no advance control is required in the current time period;

[0057] If the calculation by formula (7) shows that there are two time periods with advanced pre-control demand exceeding the pre-control demand threshold, then the pre-control demand threshold with a shorter time period is used for control first;

[0058] If it is concluded according to step (7) that advance control needs to be started in the next 5 minutes, then the advance control demand is preferentially allocated to the minute-level medium-speed regulation resources, and the remaining part is allocated to the slow-speed regulation resources;

[0059] If it is concluded according to step (7) that advance control needs to be initiated in the next 15 minutes, then the advance control demand is preferentially allocated to the second-level fast adjustment resources, and the rest is allocated to the minute-level medium-speed adjustment resources;

[0060] The allocation strategy of the regulating unit includes:

[0061] When starting the minute-level medium-speed regulation resource to participate in advance pre-control, the overall regulation demand of this resource type is allocated in proportion to the actual regulation rate;

[0062] When starting the slow regulating resources to participate in advance pre-control, the overall regulating demand of this resource type is allocated in proportion to the regulating margin size.

[0063] Furthermore, when the 5-minute advance control is started, on the basis of allocating the advance control demand, the spare distribution coefficient of the resource that can be quickly adjusted in seconds needs to be considered:

[0064] If the advance control demand is in the direction of increasing output, then if the resource reserve coefficient of the second-level rapid adjustment is less than the upper reserve qualification threshold, the calculation method of the total advance control demand is:

[0065] ΔP redis =ΔP i-middle +(F target -F index )×(F uc +F dc ) (13)

[0066] Where: ΔP i-middle is the advance control demand obtained by medium-speed regulation resource allocation, F target F is the target standby distribution coefficient for fast resource adjustment in seconds. index The spare distribution coefficient of resources is adjusted quickly in seconds, F uc is the total upper adjustment space of the energy storage station, F dc It is the overall downward regulation capacity of the energy storage station;

[0067] If the advance control demand is in the direction of reducing output, then if the resource reserve coefficient of the second-level rapid adjustment is less than the lower reserve qualification threshold, the calculation method of the total advance control demand is:

[0068] ΔP redis =ΔP i-middle +(F index -F target )×(F uc +Fdc ) (14)

[0069] When 15-minute advance control is started, the reserve distribution coefficient of the minute-level medium-speed regulation resources needs to be considered on the basis of allocating the advance control demand;

[0070] If the advance control demand is in the direction of increasing output, then if the minute-level medium-speed regulation resource reserve coefficient is less than the upper reserve qualification threshold, the calculation method for the total advance control demand is:

[0071] ΔP redis =ΔP i-slow +(S target -S index )×(S un +S dn ) (15)

[0072] Where: ΔP i-slow is the advance control demand obtained by slow regulation resource allocation, S target is the target standby distribution coefficient of medium-speed regulation resources, S index is the standby distribution coefficient of the medium-speed resource adjustment at the minute level, S un is the upward regulation capacity of the new energy station, S dn To regulate the capacity of new energy stations;

[0073] If the advance control demand is in the direction of reducing output, then if the reserve coefficient of the minute-level medium-speed regulation resource is less than the lower reserve qualification threshold, the calculation method of the total advance control demand is:

[0074] ΔP redis =ΔP i-slow +(S index -S target )×(S un +S dn ) (16).

[0075] Furthermore, it also includes that, in the process of rolling advance pre-control, if the advance pre-control has been started in the previous cycle, if the advance pre-control is no longer needed in the current cycle, then the control target of the previous cycle continues to be executed; if the advance pre-control was started at some point in the previous cycle, and the advance pre-control is still needed in the current cycle, then the control result of the previous cycle is overwritten by the pre-control result of the current cycle; if the pre-control target of the current cycle is opposite to the pre-control target of the previous cycle, then first terminate all the control targets of the previous cycle, and then execute according to the control target of the current cycle.

[0076] Based on the same inventive concept, the present invention also provides a high-proportion new energy grid wind, solar, thermal and storage coordinated advance control system, including:

[0077] An initialization module is used to establish an automatic generation control system AGC control area in the power grid dispatching and control center, implement closed-loop control of wind, solar, thermal and energy storage resources within the dispatching and control range, and ensure that the power grid frequency and tie line power are close to the planned values; the wind, solar, thermal and energy storage resources include thermal power units, new energy stations and energy storage stations;

[0078] The acquisition prediction module is used for the AGC to carry out advance pre-control scanning according to a fixed period and periodically obtain data for advance pre-control; the data includes actual sampling data of new energy power generation in a single pre-control period, actual sampling data of power load in a single pre-control period, new energy power generation forecast data and power load forecast data;

[0079] The demand estimation module is used to calculate the pre-control deviation of new energy power generation based on the actual sampling data of new energy power generation in a single pre-control period and the forecast data of new energy power generation; calculate the pre-control deviation of power load based on the actual sampling data of power grid power load in a single pre-control period and the forecast data of power load; and calculate the advance pre-control demand of power grid regulation;

[0080] The resource division module is used to obtain the regulation rate of wind, solar, thermal and storage resources based on AGC, determine the pre-control regulation capability of wind, solar, thermal and storage resources, and calculate the standby distribution coefficients of different types of pre-control regulation capabilities;

[0081] The allocation module is used to determine whether it is necessary to start advance control according to the advance control demand of the power grid, the advance control adjustment capability and the corresponding standby distribution coefficient; and according to the judgment result, the corresponding advance control demand is allocated and the allocation of the adjustment unit is adjusted.

[0082] Beneficial effect: Compared with the prior art, the present invention proposes an AGC advance control strategy. The AGC combines the hourly results of new energy power and grid load forecasting, analyzes the change pattern of grid power imbalance, and combines real-time analysis of the regulation capability of regulation resources within the dispatching range. It uses regulation resources with slow regulation rate and low regulation cost for advance control, and uses slow resources in advance to balance the rapid regulation needs of the grid caused by rapid changes in future new energy and loads. At the same time, it optimizes the standby distribution of resources with excellent regulation performance, ensures the safety of grid frequency operation, and improves the safe and reliable power supply capacity of the grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] Figure 1 is a flow chart of the method of the present invention;

[0084] Figure 2 This is a schematic diagram of a first-order curve fitting of the actual output of new energy in an embodiment of the present invention;

[0085] Figure 3A schematic diagram of a first-order curve fitting of a new energy prediction result according to an embodiment of the present invention;

[0086] Figure 4 The process of the embodiment of the present invention is as follows. DETAILED DESCRIPTION

[0087] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0088] As attached Figure 1 As shown, the high-proportion new energy grid wind, solar, thermal and storage coordinated advance control method of this embodiment includes:

[0089] (1) Establish an automatic generation control system AGC control area in the power grid dispatching and control center to implement closed-loop control of wind, solar, thermal and energy storage resources within the dispatching and control range to ensure that the grid frequency and interconnection line power are close to the planned values; the wind, solar, thermal and energy storage resources include thermal power units, new energy stations and energy storage stations;

[0090] (2) The AGC performs advance control scanning at a fixed period and periodically obtains data for advance control; the data includes actual sampling data of new energy power generation in a single advance control period, actual sampling data of power load in a single advance control period, new energy power generation forecast data, and power load forecast data;

[0091] (3) Based on the actual sampling data of new energy power generation in a single pre-control period and the forecast data of new energy power generation, the pre-control deviation of new energy power generation is calculated; based on the actual sampling data of power grid power load in a single pre-control period and the forecast data of power load, the pre-control deviation of power load is calculated; and the advance pre-control demand of power grid regulation is calculated;

[0092] (4) Based on the AGC, the regulation rate of wind, solar, thermal and storage resources is obtained, and the pre-control regulation capability of wind, solar, thermal and storage resources is determined. The pre-control regulation capability includes: slow regulation resources, minute-level medium-speed regulation resources and second-level fast regulation resources, and the standby distribution coefficients of different types of pre-control regulation capabilities are calculated;

[0093] (5) Determine whether to start advance control based on the grid regulation advance control demand, advance control regulation capacity and corresponding standby distribution coefficient; and allocate the corresponding advance control demand and adjust the allocation of units based on the judgment result.

[0094] Specifically, in step (1), in response to the frequency and interconnection line control requirements of a high-proportion renewable energy grid, an AGC control area is generally established in the grid dispatching and control center (hereinafter referred to as the dispatching center), which is mainly responsible for implementing closed-loop control of conventional wind, solar, thermal and energy storage within the dispatching range. The control goal of the conventional AGC control area is to ensure that the grid frequency and interconnection line power are close to the planned values, while absorbing as much renewable energy as possible.

[0095] In step (2), the conventional AGC performs advance control scanning at a fixed period (e.g., once every 5 minutes) to periodically obtain basic data, real-time data, and prediction result data required for advance control, including:

[0096] Forecast data of renewable energy power generation, with a data period from the current time to one hour in the future;

[0097] Power load forecast data within the power grid dispatching range, with the data period from the current time to the next hour;

[0098] The historical operation sampling data of the new energy power generation and power load in the past cycle has a sampling result value every 5 seconds. If the pre-control cycle is 5 minutes, then the number of points of the historical operation sampling data in the cycle is 60.

[0099] In step (3), based on the obtained actual power generation sampling result value of each pre-control period, the data validity of the power generation sampling value is first judged, and the data is cleaned from three aspects: the measurement quality bit of the sampling value, the data does not change, and the data is obviously abnormal. Invalid measurement data is excluded to form a valid new energy power generation data sequence for the pre-control period, which can be expressed by the following formula:

[0100] X=[x1,x2,...,x N ] (1)

[0101] Based on the cleaned new energy power generation sampling data sequence X, a linear fitting method is used to obtain the slope K of the first fitting result of the new energy power generation sampling data in the past cycle. s and intercept B s ,like Figure 2 and Figure 3 As shown;

[0102] Based on the forecast data of renewable energy power generation, the slope and intercept of 5 minutes and 15 minutes can be obtained according to the different lengths of forecast data. The calculation method is as follows:

[0103]

[0104] Where: y0 is the prediction result of the current point, y a Predict the results for future time periods, t0 and t ais the current time and the future predicted time. When a=1, it means the next 5 minutes, and when a=2, it means the next 15 minutes. (t a ,y a ) and (t0,y0) form a linear function; K a is the slope of the prediction result. When a=1, it indicates the slope of the prediction result for the next 5 minutes. When a=2, it indicates the slope of the prediction result for the next 15 minutes. a It is the intercept of the prediction result. When a=1, it means the intercept of the prediction result for the next 5 minutes, and when a=2, it means the intercept of the prediction result for the next 15 minutes.

[0105] After obtaining the slope intercept of the forecast results of renewable energy power generation and the slope and intercept results of the actual operation and forecast results in the past 5 minutes, the forecast adjustment deviation of renewable energy power generation in the next two periods can be obtained. The calculation method is as follows:

[0106]

[0107] Where: ΔN a is the new energy pre-control deviation in the future period. When a=1, it means the new energy power generation pre-control deviation in the next 5 minutes, and when a=2, it means the new energy power generation pre-control deviation in the next 15 minutes.

[0108] Further, based on the actual historical operation data of the power grid power load and the future prediction results, the power load pre-control deviation is calculated.

[0109] Based on the obtained sampling result value of the actual power generation of new energy in each pre-control cycle, the data validity of the power load sampling value is first judged, and the data is cleaned from four aspects: the measurement quality bit of the power load sampling value, the data does not change, the data mutation amount and the data is obviously abnormal. Invalid measurement data is excluded to form a valid load power data sequence for the pre-control cycle, which can be expressed as follows:

[0110] L=[l1,l2,...,l N ] (4)

[0111] Based on the cleaned power load sampling data sequence L, a linear fitting method is used to obtain the slope M of the first fitting result of the power load sampling data of the past cycle. s and the intercept Q s ;

[0112] Based on the forecast data of power load, the slope and intercept of 5 minutes and 15 minutes can be obtained according to the different lengths of forecast data. The calculation method is as follows:

[0113]

[0114] Where: z0 is the prediction result of the current point, z a Predict the results for future time periods, t0 and t a For the current time and the future predicted time, a=1 means 5 minutes in the future, and a=2 means 15 minutes in the future. (t a ,z a ) and (t0,z0) form a linear function; M a is the slope of the prediction result. When a=1, it indicates the slope of the prediction result for the next 5 minutes. When a=2, it indicates the slope of the prediction result for the next 15 minutes. a It is the intercept of the prediction result. When a=1, it means the intercept of the prediction result for the next 5 minutes, and when a=2, it means the intercept of the prediction result for the next 15 minutes.

[0115] After obtaining the slope intercept of the power load forecast result and the slope and intercept results of the actual operation and forecast results in the past 5 minutes, the forecast adjustment deviation of the power load in the next three periods can be obtained. The calculation method is as follows:

[0116]

[0117] Where: ΔL a is the energy pre-control deviation for the future period. When a=1, it indicates the power load pre-control deviation for the next 5 minutes; when a=2, it indicates the power load pre-control deviation for the next 15 minutes.

[0118] Based on the calculated results of new energy pre-control deviation and power load pre-control deviation, the grid regulation pre-control demand for the next 5 minutes and 15 minutes can be obtained. The calculation method is shown in formula (7):

[0119] ΔP a =ΔN a -ΔL a (7)

[0120] In step (4), after completing the grid regulation pre-control demand, the pre-control regulation capacity of different types of resources such as wind, solar, thermal and storage is calculated. The regulation capacity is divided into three levels, including: slow regulation resources, minute-level medium-speed regulation resources and second-level fast regulation resources. According to different resource types, the regulation capacity of resources is counted in real time.

[0121] For thermal power units whose regulation rate is lower than the rated regulation rate by more than 1.5% of installed capacity per minute, they are recorded as slow regulation resources. The statistics of the regulation capacity of such resources are shown in the following formula:

[0122]

[0123] Where: P h is the regulation rate of the slow regulation resource, n is the number of slow regulation resource units; ri is the rated speed of the i-th unit, P uh is the regulating capacity of the unit, L ui The upper limit of regulation of the i-th unit, G i is the real-time active power value of the i-th unit, P dh is the unit's down regulation capacity, L di is the lower limit of regulation of the i-th unit.

[0124] For thermal power units and new energy stations whose regulation rate is greater than the rated regulation rate by more than 1.5% of the installed capacity per minute, such resources are recorded as minute-level medium-speed regulation resources. For thermal power units, the calculation method of their regulation capacity and regulation rate is shown in formula (8). For the regulation capacity and regulation rate of new energy stations, the calculation method is shown in formula (9):

[0125]

[0126] Where: S n is the total regulation rate of the new energy station, N j is the regulation rate of the jth new energy station, S un is the upward regulation capacity of the new energy station, W j is the upper limit of regulation of the jth renewable energy station. For renewable energy stations without power restriction, this value is equal to the real-time active power value of the renewable energy station. dn is the downward regulation capacity of the new energy station, P j is the real-time active power value of the jth new energy station, V j It is the lower limit of regulation for the j-th new energy station, which shall not be less than 5% of the installed capacity of the station.

[0127] For electrochemical energy storage regulation resources that can respond in seconds, they are recorded as fast regulation resources with a response in seconds. The regulation capacity of fast regulation resources in seconds is calculated as shown in formula (10):

[0128]

[0129] Where: F c is the total regulation rate of the energy storage station, m is the number of energy storage stations, C b is the regulation rate of the bth energy storage station, which is calculated as 100% of its installed capacity per minute. uc is the total upper adjustment space of the energy storage station, H b is the upper limit of the regulation of the b-th energy storage station, generally the installed capacity of energy storage, F dc is the overall downward regulation capacity of the energy storage station, M b is the lower limit of regulation of the b-th energy storage station, P b is the real-time active value of the b-th energy storage.

[0130] After obtaining the adjustment rates and up and down adjustment capacities of the three types of resources, the standby distribution factors of the three types of resources are calculated respectively. The calculation method is shown in formula (11):

[0131]

[0132] Where: P Index , S index and F index The standby distribution coefficients of three types of resources are slow adjustment resources, minute-level medium-speed adjustment resources, and second-level fast adjustment resources.

[0133] In step (5), after the control center AGC obtains the grid pre-control demand for the next 5 minutes and 15 minutes and the real-time regulation capacity and standby distribution coefficient of the three types of regulation resources of the grid, the next step is to determine whether it is necessary to start the advance control.

[0134] According to the BAAL standard proposed by the North American Reliability Council, by adjusting the central frequency safety threshold fRL, the pre-control demand threshold of the current power grid in different periods can be obtained. The calculation method is as follows:

[0135]

[0136] Where: f is the real-time frequency value of the power grid, Bias is the frequency demand coefficient of the power grid, f P1 、f P2 The pre-control demand thresholds are 5 minutes and 15 minutes respectively;

[0137] If the advance control demands of the two time periods calculated by formula (7) are both lower than the corresponding control demand thresholds, it is considered that no advance control is required in the current time period;

[0138] If the calculation by formula (7) shows that there are two time periods with advanced pre-control demand exceeding the pre-control demand threshold, then the pre-control demand threshold with a shorter time period is used for control first;

[0139] After determining whether to enable advance pre-control, the corresponding pre-control demand is allocated according to different pre-control periods;

[0140] If it is concluded according to step (7) that advance control needs to be started in the next 5 minutes, then the advance control demand is preferentially allocated to the minute-level medium-speed regulation resources, and the remaining part is allocated to the slow-speed regulation resources;

[0141] If it is concluded according to step (7) that advance control needs to be initiated in the next 15 minutes, then the advance control demand is preferentially allocated to the second-level fast adjustment resources, and the rest is allocated to the minute-level medium-speed adjustment resources;

[0142] If the 5-minute advance control is activated, the backup distribution coefficient of the rapid adjustment resources needs to be considered in addition to allocating the advance control demand.

[0143] If the advance control demand is in the direction of increasing output, and if the rapid adjustment resource reserve coefficient is less than the upper reserve qualification threshold (for example, 0.3), the calculation method for the total advance control demand is:

[0144] ΔP redis =ΔP i-middle +(F target -F index )×(F uc +F dc ) (13)

[0145] Where: ΔP i-middle is the advance control demand obtained by medium-speed regulation resource allocation, F target The target spare distribution factor for quickly adjusting resources.

[0146] If the advance control demand is in the direction of reducing output, and if the rapid adjustment resource reserve coefficient is less than the lower reserve qualification threshold (for example, 0.3), the calculation method for the total amount of the advance control demand is:

[0147] ΔP redis =ΔP i-middle +(F index -F target )×(F uc +F dc ) (14)

[0148] If 15-minute advance control is enabled, the backup distribution coefficient of minute-level medium-speed resources must be considered in addition to allocating the advance control demand.

[0149] If the advance control demand is in the direction of increasing output, and if the medium-speed regulation resource reserve coefficient is less than the upper reserve qualification threshold (for example, 0.3), the calculation method for the total amount of the advance control demand is:

[0150] ΔP redis =ΔP i-slow +(S target -S index )×(S un +S dn ) (15)

[0151] Where: ΔP i-slow is the advance control demand obtained by slow regulation resource allocation, S target The target spare distribution factor for medium-speed regulation resources.

[0152] If the advance control demand is in the direction of reducing output, and if the medium-speed regulation resource reserve coefficient is less than the lower reserve qualification threshold (for example, 0.3), the calculation method for the total amount of the advance control demand is:

[0153] ΔP redis =ΔP i-slow +(S index -S target )×(S un +S dn ) (16).

[0154] After determining the overall demand for pre-control of a given type of regulation resource, it is allocated to each unit participating in the regulation within the resource. The allocation strategy is as follows:

[0155] When medium-speed regulation resources are started to participate in advance pre-control, the overall regulation demand of this resource type is allocated in proportion to the actual regulation rate;

[0156] When starting the slow regulating resource to participate in advance pre-control, the overall regulating demand of this resource type is allocated in proportion to the regulating margin size;

[0157] In addition, this embodiment also includes that, during the rolling advance pre-control process, if the advance pre-control has been started in the previous cycle, if the advance pre-control is no longer needed in this cycle, then the control target of the previous cycle continues to be executed; if the advance pre-control was started at one point in the previous cycle, and the advance pre-control is still needed in this cycle, then the control result of the previous cycle is overwritten with the pre-control result of this cycle for execution. If the pre-control target of this cycle is opposite to the pre-control target of the previous cycle, then firstly stop all the control targets of the previous cycle, and then execute according to the control target of this cycle; the process of this embodiment is as follows Figure 4 shown.

[0158] A high proportion of new energy power grid is prone to large fluctuations in power generation due to the influence of weather factors on new energy. At the same time, conventional thermal power units are gradually withdrawn due to policy factors. The regulation capacity of conventional thermal power units is difficult to balance in real time the rapid power changes of new energy or load caused by high temperature, ice and snow and other weather conditions, and the safe operation of the power grid faces a huge threat. The present invention proposes an AGC advance pre-control method, which analyzes the change trend of the net load power of the power grid based on the prediction results of new energy power and power grid load at the minute to hour level, combines the real-time analysis of the regulation capacity of the regulation resources within the dispatching range, and uses the regulation resources with slow regulation rate and low regulation cost for advance pre-control, and uses slow resources in advance to balance the rapid regulation demand of the power grid caused by the rapid changes of new energy and load in the future, and optimizes the spare distribution of resources with excellent regulation performance, improves the safe and reliable power supply capacity of the power grid, improves the safety level of power grid operation, and promotes the safe priority consumption of new energy.

[0159] Based on the same inventive concept, this embodiment also provides a high-proportion new energy grid wind, solar, thermal and storage coordinated advance control system, including:

[0160] An initialization module is used to establish an automatic generation control system AGC control area in the power grid dispatching and control center, implement closed-loop control of wind, solar, thermal and energy storage resources within the dispatching and control range, and ensure that the power grid frequency and tie line power are close to the planned values; the wind, solar, thermal and energy storage resources include thermal power units, new energy stations and energy storage stations;

[0161] The acquisition prediction module is used for the AGC to carry out advance pre-control scanning according to a fixed period and periodically obtain data for advance pre-control; the data includes actual sampling data of new energy power generation in a single pre-control period, actual sampling data of power load in a single pre-control period, new energy power generation forecast data and power load forecast data;

[0162] The demand estimation module is used to calculate the pre-control deviation of new energy power generation based on the actual sampling data of new energy power generation in a single pre-control period and the forecast data of new energy power generation; calculate the pre-control deviation of power load based on the actual sampling data of power grid power load in a single pre-control period and the forecast data of power load; and calculate the advance pre-control demand of power grid regulation;

[0163] The resource division module is used to obtain the regulation rate of wind, solar, thermal and storage resources based on AGC, determine the pre-control regulation capability of wind, solar, thermal and storage resources, and calculate the standby distribution coefficients of different types of pre-control regulation capabilities;

[0164] The allocation module is used to determine whether it is necessary to start advance control according to the advance control demand of the power grid, the advance control adjustment capability and the corresponding standby distribution coefficient; and according to the judgment result, the corresponding advance control demand is allocated and the allocation of the adjustment unit is adjusted.

[0165] The present invention has been described according to the preferred embodiments. It should be understood that the above embodiments do not limit the present invention in any form. Any technical solutions obtained by equivalent replacement or equivalent transformation shall fall within the protection scope of the present invention.

Claims

1. A method for coordinated advance control of wind, solar, thermal and energy storage in a high-proportion new energy power grid, characterized in that: include: (1) Establish an automatic generation control system AGC control area in the power grid dispatching and control center to implement closed-loop control of wind, solar, thermal and energy storage resources within the dispatching and control range to ensure that the grid frequency and interconnection line power are close to the planned values; the wind, solar, thermal and energy storage resources include thermal power units, new energy stations and energy storage stations; (2) The AGC performs advance control scanning at a fixed period and periodically obtains data for advance control; the data includes actual sampling data of new energy power generation in a single advance control period, actual sampling data of power load in a single advance control period, new energy power generation forecast data, and power load forecast data; (3) Calculate the new energy power generation pre-control deviation based on the actual sampling data of new energy power generation in a single pre-control period and the new energy power generation forecast data; Based on the actual sampling data of power load in a single pre-control period and the power load forecast data, calculate the power load pre-control deviation; and calculate the power grid regulation advance pre-control demand; (4) Based on the AGC, the regulation rate of wind, solar, thermal and storage resources is obtained, and the pre-control regulation capability of wind, solar, thermal and storage resources is determined. The pre-control regulation capability includes: slow regulation resources, minute-level medium-speed regulation resources and second-level fast regulation resources, and the standby distribution coefficients of different types of pre-control regulation capabilities are calculated; (5) Determine whether to start advance control based on the grid regulation advance control demand, advance control regulation capacity and corresponding standby distribution coefficient; and allocate the corresponding advance control demand and adjust the allocation of units based on the judgment result.

2. The high-proportion new energy grid wind, solar, thermal and energy storage coordinated advance control method according to claim 1 is characterized in that: The renewable energy power generation forecast data and power load forecast data in step (2) are obtained according to the renewable energy power generation forecast and load forecast functions of the power grid dispatching system; The new energy power generation forecast data has a data period from the current time to the next hour; The power load forecast data has a data period from the current time to the next hour; The actual sampling data of new energy power generation and power load in a single pre-control cycle is based on a past pre-control cycle, a preset sampling interval, and actual sampling data of several sampling points are collected.

3. The high-proportion new energy grid wind, solar, thermal and energy storage coordinated advance control method according to claim 1 is characterized in that: The step (3) of calculating the new energy power generation pre-control deviation based on the actual sampling data of new energy power generation in a single pre-control period and the new energy power generation forecast data includes: Based on the actual sampling data of renewable energy power generation in a single pre-control period, the validity of the data is judged. The data is cleaned from three aspects: the measurement quality, unchanged data and obvious abnormal data of the actual sampling data of renewable energy power generation. Invalid measurement data is excluded to form a valid renewable energy power generation sampling data sequence X for the pre-control period: X=[x1,x2,...,x N ] (1) Where N is the sequence length; based on the effective new energy power generation sampling data sequence X, a linear fitting method is used to obtain the slope K of the first fitting result of the actual sampling data of new energy power generation in a single pre-control period. s and intercept B s ; Based on the forecast data of renewable energy power generation, the slope and intercept of 5 minutes and 15 minutes are obtained according to the different lengths of forecast data. The formula is as follows: Where: y0 is the prediction result of the current point, y a Predict the results for future time periods, t0 and t a is the current time and the future predicted time. When a=1, it means the next 5 minutes, and when a=2, it means the next 15 minutes. (t a ,y a ) and (t0,y0) form a linear function; K a is the slope of the prediction result. When a=1, it indicates the slope of the prediction result for the next 5 minutes. When a=2, it indicates the slope of the prediction result for the next 15 minutes. a is the intercept of the prediction result. When a=1, it means the intercept of the prediction result for the next 5 minutes. When a=2, it means the intercept of the prediction result for the next 15 minutes. Calculate the pre-control deviation of renewable energy power generation in the next two periods: Where: ΔN a is the new energy pre-control deviation in the future period. When a=1, it means the new energy power generation pre-control deviation in the next 5 minutes, and when a=2, it means the new energy power generation pre-control deviation in the next 15 minutes.

4. The high-proportion new energy grid wind, solar, thermal and energy storage coordinated advance control method according to claim 1 is characterized in that: The step (3) of calculating the power load pre-control deviation based on the actual sampling data of the power load of the power grid in a single pre-control period and the power load forecast data includes: Based on the actual sampling data of the power load in a single pre-control cycle, the data validity is judged, and the data is cleaned from four aspects: the measurement quality bit, data unchanged, data mutation amount and obvious data abnormality of the power load sampling data, and invalid measurement data is excluded to form a valid power load sampling data sequence for the pre-control cycle, which is expressed by the following formula: L＝[l1,l2,...,l N ] (4) Where N is the sequence length; based on the effective power load sampling data sequence L, a linear fitting method is used to obtain the slope M of the first fitting result of the power load sampling data of a single pre-control period. s and the intercept Q s ; Based on the power load forecast data, the slope and intercept of 5 minutes and 15 minutes are obtained according to the different lengths of forecast data. The calculation method is as follows: Where: z0 is the prediction result of the current point, z a Predict the results for future time periods, t0 and t a For the current time and the future predicted time, a=1 means 5 minutes in the future, and a=2 means 15 minutes in the future. (t a ,z a ) and (t0,z0) form a linear function; M a is the slope of the prediction result. When a=1, it indicates the slope of the prediction result for the next 5 minutes. When a=2, it indicates the slope of the prediction result for the next 15 minutes. a is the intercept of the prediction result. When a=1, it means the intercept of the prediction result for the next 5 minutes. When a=2, it means the intercept of the prediction result for the next 15 minutes. Calculate the forecast adjustment deviation of the power load in the next two periods: Where: ΔL a is the energy pre-control deviation for the future period. When a=1, it indicates the power load pre-control deviation for the next 5 minutes; when a=2, it indicates the power load pre-control deviation for the next 15 minutes.

5. The high-proportion new energy grid wind, solar, thermal and energy storage coordinated advance control method according to claim 1 is characterized in that: The step (3) of calculating the advance control demand of power grid regulation includes: ΔP a =ΔN a -ΔL a (7) Where a = 1, ΔP a Indicates the grid regulation advance control demand in the next 5 minutes. When a=2, ΔP a Indicates the grid regulation advance control demand in the next 15 minutes.

6. The high-proportion new energy grid wind, solar, thermal and energy storage coordinated advance control method according to claim 1 is characterized in that: The step (4) comprises: (41) For a thermal power unit whose regulation rate is lower than the rated regulation rate by more than 1.5% of the installed capacity per minute, it is determined to be a slow regulation resource. The regulation capacity of the slow regulation resource is as follows: Where: P h is the regulation rate of the slow regulation resource, n is the number of slow regulation resource units; r i is the rated speed of the i-th unit, P uh is the regulating capacity of the unit, L ui The upper limit of regulation of the i-th unit, G i is the real-time active power value of the i-th unit, P dh is the unit's down regulation capacity, L di is the lower limit of regulation of the i-th unit; (42) For thermal power units and new energy stations whose regulation rate is greater than the rated regulation rate by more than 1.5% of the installed capacity per minute, they are determined to be minute-level medium-speed regulation resources; the regulation capacity and regulation rate of the thermal power units in the minute-level medium-speed regulation resources are calculated as shown in formula (8), and the regulation capacity and regulation rate of the new energy stations in the minute-level medium-speed regulation resources are calculated as shown in formula (9): Where: S n is the total regulation rate of the new energy station, N j is the regulation rate of the jth new energy station, S un is the upward regulation capacity of the new energy station, W j is the upper limit of regulation of the jth renewable energy station. For renewable energy stations without power restriction, this value is equal to the real-time active power value of the renewable energy station. dn is the downward regulation capacity of the new energy station, P j is the real-time active power value of the jth new energy station, V j is the lower limit of regulation of the j-th new energy station, which shall not be less than 5% of the installed capacity of the station; (43) For an energy storage station capable of responding in seconds, it is determined to be a second-level fast regulation resource with a second-level response. The regulation capability of the second-level fast regulation resource is calculated as shown in formula (10): Where: F c is the total regulation rate of the energy storage station, m is the number of energy storage stations, C b is the regulation rate of the bth energy storage station, which is calculated as 100% of its installed capacity per minute. uc is the total upper adjustment space of the energy storage station, H b is the upper limit of the regulation of the b-th energy storage station, generally the installed capacity of energy storage, F dc is the overall downward regulation capacity of the energy storage station, M b is the lower limit of regulation of the b-th energy storage station, P b is the real-time active value of the b-th energy storage; (44) Calculate the spare distribution coefficients of the three types of resources respectively: Where: P Index , S index and F index They are the standby distribution coefficients of slow adjustment resources, minute-level medium-speed adjustment resources, and second-level fast adjustment resources.

7. The high-proportion new energy grid wind, solar, thermal and energy storage coordinated advance control method according to claim 1 is characterized in that: The step (5) comprises: By adjusting the central frequency safety threshold fRL, the pre-control demand thresholds of the current power grid in different periods are calculated: Where: f is the real-time frequency value of the power grid, Bias is the frequency demand coefficient of the power grid, f P1 and f P2 The pre-control demand thresholds are 5 minutes and 15 minutes respectively; If the advance control demands of the two time periods calculated by formula (7) are both lower than the corresponding control demand thresholds, it is considered that no advance control is required in the current time period; If the calculation by formula (7) shows that there are two time periods with advanced pre-control demand exceeding the pre-control demand threshold, then the pre-control demand threshold with a shorter time period is used for control first; If it is concluded according to step (7) that advance control needs to be started in the next 5 minutes, then the advance control demand is preferentially allocated to the minute-level medium-speed regulation resources, and the remaining part is allocated to the slow-speed regulation resources; If it is concluded according to step (7) that advance control needs to be initiated in the next 15 minutes, then the advance control demand is preferentially allocated to the second-level fast adjustment resources, and the rest is allocated to the minute-level medium-speed adjustment resources; The allocation strategy of the regulating unit includes: When starting the minute-level medium-speed regulation resource to participate in advance pre-control, the overall regulation demand of this resource type is allocated in proportion to the actual regulation rate; When starting the slow regulating resources to participate in advance pre-control, the overall regulating demand of this resource type is allocated in proportion to the regulating margin size.

8. The high-proportion new energy grid wind, solar, thermal and energy storage coordinated advance control method according to claim 7 is characterized in that: When 5-minute advance control is enabled, the backup distribution coefficient for fast resource adjustment in seconds needs to be considered in addition to allocating the advance control demand: If the advance control demand is in the direction of increasing output, then if the resource reserve coefficient of the second-level rapid adjustment is less than the upper reserve qualification threshold, the calculation method of the total advance control demand is: ΔP redis =ΔP i-middle +(F target -F index )×(F uc +F dc ) (13) Where: ΔP i-middle is the advance control demand obtained by medium-speed regulation resource allocation, F target F is the target standby distribution coefficient for fast resource adjustment in seconds. index The spare distribution coefficient of resources is adjusted quickly in seconds, F uc is the total upper adjustment space of the energy storage station, F dc It is the overall downward regulation capacity of the energy storage station; If the advance control demand is in the direction of reducing output, then if the resource reserve coefficient of the second-level rapid adjustment is less than the lower reserve qualification threshold, the calculation method of the total advance control demand is: ΔP redis =ΔP i-middle +(F index -F target )×(F uc +F dc ) (14) When 15-minute advance control is started, the reserve distribution coefficient of the minute-level medium-speed regulation resources needs to be considered on the basis of allocating the advance control demand; If the advance control demand is in the direction of increasing output, then if the reserve coefficient of the minute-level medium-speed regulation resource is less than the upper reserve qualification threshold, the calculation method for the total amount of the advance control demand is: ΔP redis =ΔP i-slow +(S target -S index )×(S un +S dn ) (15) Where: ΔP i-slow is the advance control demand obtained by slow regulation resource allocation, S target is the target standby distribution coefficient of medium-speed regulation resources, S index is the standby distribution coefficient of the medium-speed resource adjustment in minutes, S un is the upward regulation capacity of the new energy station, S dn To regulate the capacity of new energy stations; If the advance control demand is in the direction of reducing output, then if the reserve coefficient of the minute-level medium-speed regulation resource is less than the lower reserve qualification threshold, the calculation method of the total advance control demand is: ΔP redis =ΔP i-slow +(S index -S target )×(S un +S dn ) (16)。 9. The high-proportion new energy grid wind, solar, thermal and energy storage coordinated advance control method according to claim 1 is characterized in that: It also includes that, in the process of rolling advance pre-control, if the advance pre-control has been started in the previous cycle, if the advance pre-control is no longer needed in the current cycle, then the control target of the previous cycle continues to be executed; if the advance pre-control was started at some point in the previous cycle, and the advance pre-control is still needed in the current cycle, then the control result of the previous cycle is overwritten by the pre-control result of the current cycle; if the pre-control target of this cycle is opposite to the pre-control target of the previous cycle, then all control targets of the previous cycle are first terminated, and then executed according to the control target of this cycle.

10. A high-proportion new energy power grid wind, solar, thermal and storage coordinated advance control system, characterized in that: include: An initialization module is used to establish an automatic generation control system AGC control area in the power grid dispatching and control center, implement closed-loop control of wind, solar, thermal and energy storage resources within the dispatching and control range, and ensure that the power grid frequency and tie line power are close to the planned values; the wind, solar, thermal and energy storage resources include thermal power units, new energy stations and energy storage stations; The acquisition prediction module is used for the AGC to carry out advance pre-control scanning according to a fixed period and periodically obtain data for advance pre-control; the data includes actual sampling data of new energy power generation in a single pre-control period, actual sampling data of power load in a single pre-control period, new energy power generation forecast data and power load forecast data; The demand estimation module is used to calculate the new energy power generation pre-control deviation based on the actual sampling data of new energy power generation and the new energy power generation forecast data of a single pre-control cycle; Based on the actual sampling data of power load in a single pre-control period and the power load forecast data, calculate the power load pre-control deviation; and calculate the power grid regulation advance pre-control demand; The resource division module is used to obtain the regulation rate of wind, solar, thermal and storage resources based on AGC, determine the pre-control regulation capability of wind, solar, thermal and storage resources, and calculate the standby distribution coefficients of different types of pre-control regulation capabilities; The allocation module is used to determine whether it is necessary to start advance control according to the advance control demand of the power grid, the advance control adjustment capability and the corresponding standby distribution coefficient; and according to the judgment result, the corresponding advance control demand is allocated and the allocation of the adjustment unit is adjusted.

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