A control method and device for adjusting load participation in main station APC frequency modulation

Abstract

The application discloses a kind of adjustable load participation main station APC frequency modulation control method and device, the method will be aggregated after the adjustable load of load aggregator aggregation equivalent into an adjustable load virtual machine group, baseline frequency modulation and auxiliary frequency modulation control mode are designed, then the control state of adjustable load virtual machine group is evaluated, and the adjustable load that can participate in frequency modulation at current time is screened out, then the overall adjustment demand of adjustable load is obtained by the coordinated distribution of adjustable load and conventional unit, then the dynamic priority coefficient of each adjustable load is calculated in real time, and the adjustment demand is sequentially distributed according to priority, to realize adjustable load participation grid frequency modulation control, expand grid frequency modulation adjustment resource, can effectively improve grid ACE control effect, reduce the adjustment pressure of thermal power unit.

Description

Technical Field

[0001] This invention relates to a control method and device for adjustable loads participating in the frequency regulation of the main substation APC, belonging to the field of power system frequency control technology. Background Technology

[0002] With the large-scale integration of new energy sources into the grid, traditional thermal power sources are being largely replaced, leading to a continuous decrease in the grid's rotational inertia and a gradual weakening of its traditional primary frequency regulation capabilities. This has highlighted the increasing risks to grid frequency stability. With the development of "source-grid-load-storage" interactive technologies and the widespread use of smart terminals, load-side regulation resources have become new frequency regulation and control resources. By exploring, aggregating, and unifying regulation, grid frequency regulation resources can be expanded, further improving the grid frequency control effect without affecting users' electricity experience.

[0003] Due to the characteristics of load-side resources, such as disordered operation, dispersion, and small individual adjustable capacity, there is currently no operational experience to integrate their aggregated control into the master station's aggregated control. Various types of load-side resources operate according to their individual behavioral characteristics. For example, the charging and discharging behavior of electric vehicles is random and disordered; user-side distributed energy storage determines its operating strategy based on maximizing arbitrage opportunities in electricity price differences to ensure optimal returns for individual users; and temperature-controlled loads operate independently under the influence of user behavior characteristics, aiming for optimal user experience. The lack of coordinated control among these various flexible load types prevents them from participating in the power system and realizing their resource value.

[0004] Domestic and international experts and scholars have conducted relevant research on the participation of flexible load resources in power system dispatch and the promotion of wind power absorption by demand response resources. For example, some literature considers the uncertainty of wind power generation forecasting and formulates dispatch strategies for price-responsive flexible load resources at multiple time scales, including day-ahead, intraday, and real-time, to absorb more wind power resources. Domestic scholars have also studied aggregation models of distributed energy storage, electric vehicles, and temperature-controlled loads, proposing schemes for various resources to participate in grid dispatch to meet spinning reserve requirements based on the operational constraints of different flexible loads, thereby improving system stability and economy. A system dynamics-based model of the interaction between flexible load resources and the grid has been studied, effectively analyzing the response of flexible load resources under load demand and time-of-use pricing, as well as the dynamic response characteristics of the system.

[0005] The aforementioned literature has laid a solid technical foundation for load-side resource participation in power grid dispatch, but it has the following shortcomings:

[0006] (1) The main research focuses on the relevant technologies of load as the main body of the electricity market. Load-side resources mainly participate in grid control as a peak-shaving resource, and do not involve research on load participation in frequency regulation.

[0007] (2) With the gradual construction of a new power system based on new energy sources, power grid frequency regulation resources are becoming increasingly scarce. Adjustable loads, as a new type of adjustable resource, have not yet been studied in depth. Summary of the Invention

[0008] This invention provides a control method and transposition for adjustable loads to participate in the frequency regulation of the master station APC. In response to the requirement of adjustable loads participating in the master station APC control, the adjustable load side resources are aggregated as an equivalent virtual machine group and modeled in the grid APC (Automatic Power Control) and participate in the grid frequency regulation control, so as to realize the participation of a large number of small-capacity, distributed load side resources in the grid frequency regulation control.

[0009] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0010] This invention provides a control method for adjustable loads participating in the frequency regulation of the master station APC, comprising:

[0011] An adjustable load aggregated by a load aggregator is called an adjustable load virtual machine group. The input data of the adjustable load virtual machine group is obtained.

[0012] The frequency modulation control mode is determined based on the input data of the adjustable load virtual machine group;

[0013] The control objectives of the adjustable load virtual machine group are calculated based on the frequency modulation control mode and then sent to the load side.

[0014] Furthermore, the acquisition of input data for the adjustable load virtual machine group includes:

[0015] Remote signaling data: APC controllable signals and frequency modulation participation signals;

[0016] Telemetry data: Current output of the adjustable load virtual machine group, upper limit of adjustable power of the adjustable load virtual machine group, and lower limit of adjustable power of the adjustable load virtual machine group.

[0017] Furthermore, determining the frequency modulation control mode based on the input data of the adjustable load virtual machine group includes:

[0018] When the remote signaling values ​​of both the APC controllable signal and the frequency modulation participation signal in the input data of the adjustable load virtual machine group are "on", the frequency modulation control mode is set to baseline frequency modulation mode or auxiliary frequency modulation mode.

[0019] Furthermore, the calculation of the control objective for the adjustable load virtual machine group based on the frequency modulation control mode includes:

[0020] P t =P b +Pd ;

[0021] Among them, P t For the control objective of the adjustable load virtual machine group, P b For the base point power of the adjustable load virtual machine group, P d The allocation of frequency regulation demand for adjustable load virtual machine groups participating in frequency regulation;

[0022] In baseline frequency modulation mode, the base point power of the adjustable load virtual machine group is: obtain the peak shaving plan curve of the adjustable load virtual machine group, and calculate the base point power of the current adjustable load virtual machine group by interpolating the peak shaving plan curve at fixed time intervals;

[0023] In assisted frequency regulation mode, the base point power of the adjustable load virtual machine group is: obtain the real-time active power value of the adjustable load virtual machine group as the base point power of the current adjustable load virtual machine group.

[0024] Furthermore, the frequency regulation demand allocation for the adjustable load virtual machine group participating in frequency regulation is calculated as follows:

[0025] Based on the priority requirements of ACE and adjustable load virtual machines in peak-valley electricity pricing, frequency regulation demand is allocated between conventional units and adjustable loads; the frequency regulation demand is calculated by the APC system according to the set control mode;

[0026] The frequency regulation requirements acquired by the adjustable load are distributed among the various adjustable load virtual machine groups that can participate in frequency regulation.

[0027] Furthermore, the allocation of frequency regulation demand between conventional units and adjustable loads includes:

[0028] Based on the absolute value of ACE, power grid regulation is divided into: dead zone, normal zone, secondary emergency zone and emergency zone; when ACE is positive, it is positive dead zone, positive normal zone, positive secondary emergency zone and positive emergency zone; when ACE is negative, it is negative dead zone, negative normal zone, negative secondary emergency zone and negative emergency zone.

[0029] If the ACE is in the positive secondary emergency zone, frequency regulation demand will be allocated to conventional units first, and the remaining frequency regulation demand after the allocation to conventional units will be allocated to adjustable loads.

[0030] If the ACE is in the positive emergency zone, the frequency regulation demand will be distributed between conventional units and adjustable loads according to the regulation capacity ratio.

[0031] If the ACE is in either the negative secondary emergency zone or the negative emergency zone, frequency regulation demand will be preferentially allocated to adjustable loads, and the remaining frequency regulation demand will be allocated to conventional units.

[0032] ACE is calculated based on the grid frequency and tie-line power.

[0033] Furthermore, it also includes,

[0034] When adjustable loads participate in grid frequency regulation control, they must meet the following regulation strategies:

[0035] Based on the peak-valley electricity pricing periods published by the government, a peak-valley-normal period table is created.

[0036] During peak electricity price periods, adjustable loads will not receive power increase control commands, but will instead receive power decrease commands.

[0037] Adjustable loads will prioritize power increase commands during off-peak electricity price periods.

[0038] Furthermore, the allocation of the frequency regulation demand acquired by the adjustable load among the various adjustable load virtual machine groups capable of participating in frequency regulation includes:

[0039] Calculate the adjustment priority coefficient of the adjustable load virtual machine group that can participate in frequency regulation at the current moment:

[0040] P i =D i +R i +Q i +N i ;

[0041] Among them, P i D is the adjustment priority coefficient for the i-th adjustable load virtual machine group that can participate in frequency regulation. i R is the adjustment direction priority coefficient for the i-th adjustable load virtual machine group that can participate in frequency regulation. i Q is the adjustment direction margin priority coefficient for the i-th adjustable load virtual machine group that can participate in frequency regulation. i N represents the regulation stability priority coefficient for the i-th adjustable load virtual machine group that can participate in frequency regulation. i Let i be the priority coefficient for the number of adjustments made by the i-th adjustable load virtual machine group that can participate in frequency regulation;

[0042] The frequency regulation demand acquired by the adjustable load is allocated according to the adjustment priority coefficient of the adjustable load virtual machine group and the maximum allocation of each adjustable load virtual machine group that can participate in frequency regulation; the smaller the adjustment priority coefficient, the higher the allocation rate.

[0043] The priority coefficient for the adjustment direction is calculated as follows: All adjustable load virtual machine groups capable of participating in frequency regulation are sorted in descending order of their future 5-minute peak-shaving plan deviations. i The value is the sorting index;

[0044] The adjustment direction margin priority coefficient is calculated as follows: the adjustment deviation direction margins of the adjustable load virtual machine groups are sorted from largest to smallest, R i The value is the sorting index;

[0045] The adjustment stability priority coefficient is calculated as follows: The adjustment stability index of the adjustable load virtual machine group is calculated, and the adjustment stability index is sorted from smallest to largest, Q. i The value is the sorting index;

[0046] The priority coefficient for the number of adjustments is calculated as follows: all adjustable load virtual machine groups that can participate in frequency regulation are sorted in ascending order of the number of adjustments they participate in APC control, N. i The value is the sorting index;

[0047] The adjustable load virtual machine groups that can participate in frequency regulation are selected as follows:

[0048] All adjustable load virtual machines that are not in frequency regulation mode cannot participate in grid frequency regulation;

[0049] When the adjustable load virtual machine group is in baseline frequency regulation mode, and the peak shaving plan baseline is in the rapid ramp-up and ramp-down period, the current adjustable load virtual machine group cannot participate in baseline frequency regulation.

[0050] When the active power of the adjustable load virtual machine group is close to the adjustment range, the current adjustable load virtual machine group cannot participate in the grid frequency regulation.

[0051] When the adjustable load virtual machine group fails to actually respond to the previous control command, it will not participate in the grid frequency regulation in the same direction;

[0052] When the adjustable load aggregator sends a prohibition signal, the adjustable load virtual machine group will not participate in the grid frequency regulation in the prohibited regulation direction.

[0053] The present invention also provides a control device for adjustable loads participating in the frequency regulation of the master station APC, comprising:

[0054] The data acquisition module is used to identify adjustable loads aggregated by a load aggregator as an adjustable load virtual machine group and acquire the input data of the adjustable load virtual machine group.

[0055] The mode control module is used to determine the frequency modulation control mode based on the input data of the adjustable load virtual machine group;

[0056] as well as,

[0057] The frequency modulation control module is used to calculate the control target of the adjustable load virtual machine group according to the frequency modulation control mode and send it to the load side.

[0058] Furthermore, the mode control module is specifically used for,

[0059] When the remote signaling values ​​of both the APC controllable signal and the frequency modulation participation signal in the input data of the adjustable load virtual machine group acquired by the data acquisition module are "on", the frequency modulation control mode is set to baseline frequency modulation mode or auxiliary frequency modulation mode.

[0060] Furthermore, the frequency modulation control module is specifically used to calculate the control target of the adjustable load virtual machine group according to the following formula:

[0061] P t =P b +P d ;

[0062] Among them, P t For the control objective of the adjustable load virtual machine group, P b For the base point power of the adjustable load virtual machine group, P d The allocation of frequency regulation demand for adjustable load virtual machine groups participating in frequency regulation;

[0063] In baseline frequency modulation mode, the base point power of the adjustable load virtual machine group is: obtain the peak shaving plan curve of the adjustable load virtual machine group, and calculate the base point power of the current adjustable load virtual machine group by interpolating the peak shaving plan curve at fixed time intervals;

[0064] In assisted frequency regulation mode, the base point power of the adjustable load virtual machine group is: obtain the real-time active power value of the adjustable load virtual machine group as the base point power of the current adjustable load virtual machine group.

[0065] Furthermore, the frequency modulation control module is also used for,

[0066] Based on the priority requirements of ACE and adjustable load virtual machines in peak-valley electricity pricing, frequency regulation demand is allocated between conventional units and adjustable loads; the frequency regulation demand is calculated by the APC system according to the set control mode;

[0067] The frequency regulation demand acquired by the adjustable load is allocated among the various adjustable load virtual machine groups that can participate in frequency regulation, thus obtaining the frequency regulation demand allocation amount for the adjustable load virtual machine groups to participate in frequency regulation.

[0068] Furthermore, the frequency regulation control module is specifically used to distribute frequency regulation requirements between conventional units and adjustable loads in the following manner:

[0069] Based on the absolute value of ACE, power grid regulation is divided into: dead zone, normal zone, secondary emergency zone and emergency zone; when ACE is positive, it is positive dead zone, positive normal zone, positive secondary emergency zone and positive emergency zone; when ACE is negative, it is negative dead zone, negative normal zone, negative secondary emergency zone and negative emergency zone.

[0070] If the ACE is in the positive secondary emergency zone, frequency regulation demand will be allocated to conventional units first, and the remaining frequency regulation demand after the allocation to conventional units will be allocated to adjustable loads.

[0071] If the ACE is in the positive emergency zone, the frequency regulation demand will be distributed between conventional units and adjustable loads according to the regulation capacity ratio.

[0072] If the ACE is in either the negative secondary emergency zone or the negative emergency zone, frequency regulation demand will be preferentially allocated to adjustable loads, and the remaining frequency regulation demand will be allocated to conventional units.

[0073] ACE is calculated based on the grid frequency and tie-line power.

[0074] Furthermore, the frequency modulation control module is specifically used to distribute the frequency modulation demand acquired by the adjustable load among the various adjustable load virtual machine groups that can participate in frequency modulation in the following manner:

[0075] Calculate the adjustment priority coefficient of the adjustable load virtual machine group that can participate in frequency regulation at the current moment:

[0076] P i =D i +R i +Q i +N i ;

[0077] Among them, P i D is the adjustment priority coefficient for the i-th adjustable load virtual machine group that can participate in frequency regulation. i R is the adjustment direction priority coefficient for the i-th adjustable load virtual machine group that can participate in frequency regulation. i Q is the adjustment direction margin priority coefficient for the i-th adjustable load virtual machine group that can participate in frequency regulation. i N represents the regulation stability priority coefficient for the i-th adjustable load virtual machine group that can participate in frequency regulation. i Let i be the priority coefficient for the number of adjustments made by the i-th adjustable load virtual machine group that can participate in frequency regulation;

[0078] The frequency regulation demand acquired by the adjustable load is allocated according to the adjustment priority coefficient of the adjustable load virtual machine group and the maximum allocation of each adjustable load virtual machine group that can participate in frequency regulation; the smaller the adjustment priority coefficient, the higher the allocation rate.

[0079] The priority coefficient for the adjustment direction is calculated as follows: All adjustable load virtual machine groups capable of participating in frequency regulation are sorted in descending order of their future 5-minute peak-shaving plan deviations. i The value is the sorting index;

[0080] The adjustment direction margin priority coefficient is calculated as follows: the adjustment deviation direction margins of the adjustable load virtual machine groups are sorted from largest to smallest, R i The value is the sorting index;

[0081] The adjustment stability priority coefficient is calculated as follows: The adjustment stability index of the adjustable load virtual machine group is calculated, and the adjustment stability index is sorted from smallest to largest, Q. i The value is the sorting index;

[0082] The priority coefficient for the number of adjustments is calculated as follows: all adjustable load virtual machine groups that can participate in frequency regulation are sorted in ascending order of the number of adjustments they participate in APC control, N. i The value is the sorting index;

[0083] The adjustable load virtual machine groups that can participate in frequency regulation are selected as follows:

[0084] All adjustable load virtual machines that are not in frequency regulation mode cannot participate in grid frequency regulation;

[0085] When the adjustable load virtual machine group is in baseline frequency regulation mode, and the peak shaving plan baseline is in the rapid ramp-up and ramp-down period, the current adjustable load virtual machine group cannot participate in baseline frequency regulation.

[0086] When the active power of the adjustable load virtual machine group is close to the adjustment range, the current adjustable load virtual machine group cannot participate in the grid frequency regulation.

[0087] When the adjustable load virtual machine group fails to actually respond to the previous control command, it will not participate in the grid frequency regulation in the same direction;

[0088] When the adjustable load aggregator sends a prohibition signal, the adjustable load virtual machine group will not participate in the grid frequency regulation in the prohibited regulation direction.

[0089] The beneficial effects of this invention are as follows:

[0090] This invention provides a control method for adjustable loads to participate in the frequency regulation of the master station APC. It realizes the participation of numerous, low-capacity, and distributed load-side resources in the power grid frequency regulation control after aggregation, further expanding the power grid frequency regulation resources, improving the frequency control quality of the power grid, effectively improving the ACE control effect of the power grid, reducing the regulation pressure of thermal power units, and is widely used in situations such as large-scale new energy access to the power grid and frequency and tie-line power control of power grids with insufficient conventional peak-shaving and frequency regulation reserves. Attached Figure Description

[0091] Figure 1 The load-side automatic participation in the master station AGC control architecture provided in this embodiment of the invention;

[0092] Figure 2 This is a schematic diagram illustrating the division of the ACE regulation interval;

[0093] Figure 3 This is a schematic diagram of adjustable peak-valley electricity pricing in an embodiment of the present invention. Detailed Implementation

[0094] The present invention will now be further described. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0095] This invention provides a control method for adjustable loads participating in the frequency regulation of the master station APC, comprising:

[0096] An adjustable load aggregated by a load aggregator is called an adjustable load virtual machine group. The input data of the adjustable load virtual machine group is obtained.

[0097] The frequency modulation control mode is determined based on the input data of the adjustable load virtual machine group;

[0098] The control objectives of the adjustable load virtual machine group are calculated based on the frequency modulation control mode and then sent to the load side.

[0099] An embodiment of the present invention provides a control method for adjustable loads to participate in the frequency regulation of the master station APC, the specific implementation process of which is as follows:

[0100] 1) The adjustable loads after aggregating by the load aggregator are equivalent to an adjustable load virtual machine group. The adjustable load virtual machine group responds to the control objectives of the power grid by using an intermediate aggregator, switching or continuously adjusting the output power of the load, so as to realize the participation of small-capacity and large-quantity load-side resources in the power grid APC frequency regulation control.

[0101] 2) An adjustable load virtual machine group is added to the provincial power grid master station APC control system (hereinafter referred to as provincial dispatch APC) to construct a power grid frequency regulation control model, which includes static model data and dynamic model data:

[0102] (21) Static model data is obtained by the power grid master station through parameter settings, mainly including load resource type, regulation type, maximum regulation amount, duration, regulation accuracy, regulation range, etc.

[0103] (22) Dynamic model data consists of two types of data: remote signaling and telemetry, which are input in real time by load resource aggregators to the provincial power grid master station.

[0104] Remote signaling data: APC controllable signals, frequency modulation participating signals;

[0105] Telemetry data: Current output of the adjustable load virtual machine group, upper limit of adjustable power of the adjustable load virtual machine group, and lower limit of adjustable power of the adjustable load virtual machine group.

[0106] APC includes three control methods for adjustable load virtual machine groups to participate in grid frequency regulation:

[0107] (1) Local mode: In this mode, the adjustable load virtual machine group is controlled locally by the aggregator, and the provincial APC master station does not issue control commands;

[0108] (2) Baseline frequency regulation mode: In this mode, the control objective of the adjustable load virtual machine group is the sum of the power grid's peak shaving plan and frequency regulation demand allocation results;

[0109] (3) Auxiliary frequency regulation mode: The control objective of the adjustable load virtual machine group in this mode is the sum of the real-time active power of the load and the frequency regulation demand allocation result.

[0110] 3) The provincial APC master station sets different control modes based on different data input by the adjustable load virtual machine group and the grid regulation requirements. When the remote signaling values ​​of the APC controllable signal and the frequency regulation participation signal sent by the adjustable load virtual machine group to the provincial grid master station are both "on", the provincial grid master station sets the adjustable load virtual machine group to "baseline frequency regulation mode" or "auxiliary frequency regulation mode" according to the grid regulation requirements.

[0111] 31) When the control mode of the adjustable load virtual machine group is "baseline frequency regulation mode", the master station APC first obtains the peak shaving plan curve of the adjustable load virtual machine group, and then interpolates the peak shaving plan curve at fixed time intervals (e.g., 1 minute) to obtain the adjustable load frequency regulation control baseline value at the current point.

[0112] 32) When the control mode of the adjustable load virtual machine group is "auxiliary frequency regulation mode", the master station APC first obtains the real-time active power value of the adjustable load virtual machine group as the frequency regulation control base point value of the current adjustable load control object;

[0113] 33) Based on the control mode set for the adjustable load virtual machine group, the calculation method for the adjustable load control target is as follows:

[0114] P t =P b +P d (1)

[0115] In the formula: P b The base point power for adjustable load virtual machine groups; P dAllocate the frequency modulation requirements for virtual machine groups to participate in frequency modulation; P t The control objective for adjustable load virtual machine groups.

[0116] 4) After selecting the control mode for the adjustable load control object based on the scheduling, the base power of the control object is determined. Steps 5) to 10) below determine the frequency regulation demand allocation for each adjustable load based on the frequency regulation control strategy.

[0117] 5) After establishing the control model and control strategy for the adjustable load virtual machine group, the master station APC system calculates the ACE (regional control deviation) of this control area based on the grid frequency and tie-line power. The APC divides the grid regulation into dead zone, normal zone, secondary emergency zone and emergency zone based on the absolute value of the ACE.

[0118] When ACE is positive, it is called the positive dead zone, positive normal zone, positive secondary emergency zone, and positive emergency zone; when ACE is negative, it is called the negative dead zone, negative normal zone, negative secondary emergency zone, and negative emergency zone. Figure 2 As shown.

[0119] 51) When the ACE is in the positive secondary emergency zone or the positive emergency zone, it is considered to be the adjustable load priority start-up phase. At this time, the adjustable load can participate in the grid frequency regulation with priority.

[0120] 52) When the ACE is in the negative sub-emergency zone or the negative emergency zone, it is considered to be the load priority recovery phase. At this time, the adjustable loads that have already participated in the baseline frequency modulation will be given priority recovery.

[0121] 6) Before involving adjustable load virtual machines in frequency regulation control, assess and statistically evaluate whether each adjustable load virtual machine group has the capability to participate in grid frequency regulation. This mainly includes:

[0122] 61) Status assessment: All adjustable load virtual machines that are not in frequency regulation mode cannot participate in grid frequency regulation;

[0123] 62) Adjustment period assessment: When the adjustable load virtual machine group participates in baseline frequency regulation, and the peak shaving plan baseline is in the rapid ramp-up and downhill period, it is considered that the current adjustable load cannot participate in baseline frequency regulation, so as to avoid large-scale reversal of adjustable load commands and affect the accuracy of load control;

[0124] 63) Adjustment range assessment: When the active power of the adjustable load virtual machine group is close to the adjustment range, avoid adjusting near the limit value to avoid affecting the stability of the control;

[0125] 64) Adjustment capability assessment: When the adjustable load virtual machine group fails to actually respond to the previous control command, it will not participate in the frequency regulation control in the same direction;

[0126] 65) Prohibition of Adjustment Assessment: If an adjustable load aggregator sends a prohibition of adjustment signal due to its own reasons, it will not participate in the instruction for prohibition of adjustment direction. For example, if upward adjustment is prohibited, no instruction to increase load power will be issued.

[0127] 7) When adjustable loads participate in grid frequency regulation control, it is also necessary to prioritize the calculation of peak-valley electricity price factors for the load, and formulate an adjustable load regulation strategy based on peak-valley electricity prices, as follows:

[0128] 71) Based on the peak-valley electricity pricing periods published by the government, a peak-valley normal period table is generated;

[0129] 72) During peak electricity price periods, adjustable loads will not receive power increase control commands; instead, power decrease commands will be executed first.

[0130] 73) Adjustable loads should prioritize power increase commands during off-peak electricity price periods.

[0131] 8) After determining the overall grid ACE regulation demand and the primary priority of adjustable loads under peak-valley pricing, the regulation demand is allocated between conventional units and adjustable loads, using the following allocation strategy:

[0132] 81) If the ACE is in the positive secondary emergency zone, the remaining portion of the conventional thermal power allocation will be undertaken by the adjustable load, following the conventional thermal power priority allocation strategy.

[0133] 82) If the ACE is in the positive emergency zone, the regulation demand is allocated between conventional thermal power and adjustable load resources according to the ratio of adjustable load to conventional thermal power, based on the regulation capacity ratio. The regulation capacity is obtained by summing the regulation capacities of individual units and adjustable loads, and is known in this technical field. The regulation demand is calculated by the APC system based on the set control mode, and is also known in this technical field.

[0134] 83) If the ACE is in the negative sub-emergency zone or the negative emergency zone, the adjustable loads that have participated in frequency regulation will be given priority in ACE allocation, and the remaining portion will be borne by the thermal power units.

[0135] 9) After completing the allocation of the control area regulation demand between conventional thermal power and adjustable load, the next step is to allocate the total regulation demand (i.e., regulation deviation) of the adjustable load among the various load virtual machine groups. The adjustable load virtual machine groups selected in step (6) can participate in the allocation.

[0136] 10) When adjusting the deviation, a dynamic priority allocation strategy is adopted. The priority coefficients of each adjustable virtual machine group participating in frequency adjustment are counted in real time, and the allocation is carried out according to the priority coefficients.

[0137] 101) Adjustment direction priority: The adjustment deviation direction is consistent with the peak-shaving plan direction of the adjustable load, with higher priority. The adjustment direction priority coefficient is denoted as D. i (The smaller the value, the higher the priority). The calculation method is to sort the future 5-minute peak-shaving plan deviations of all adjustable load virtual machine groups that can participate in frequency regulation. D i The value is the sorting index; the greater the deviation in the same direction, the higher the priority. (D) i The smaller the value;

[0138] For example, i refers to the number of the i-th adjustable load participating in the sorting, such as when 10 adjustable loads participate in the sorting, D i The value is between 1 and 10.

[0139] The direction of adjustment is based on the adjustment demand. If the adjustment demand is positive and the planned direction of the load is to reduce output, then they are consistent.

[0140] 102) Deviation Direction Margin Priority: Calculate the direction margin for different load control objects based on the deviation adjustment direction. The adjustment direction margin priority coefficient is denoted as R. i (The smaller the value, the higher the priority), and those with larger margin deviations should be adjusted first;

[0141] The deviation directional margin is calculated as follows: for example, when adjusting the deviation, if an additional force is required, the adjustment upper limit of the adjustable load in the direction of the additional force minus the current output force is the deviation directional adjustment margin. The larger this value is, the higher the priority.

[0142] Similarly, they are sorted according to the deviation directional margin; the larger the value, the higher the priority. i The smaller the value of R, the better. i This is the sorting sequence number.

[0143] 103) Adjustment stability priority: The adjustment stability priority coefficient is denoted as Q. i The adjustment is ranked according to the adjustment stability index, with the smaller the stability index, the higher the priority; the calculation method of the adjustment stability index is shown in equation (2):

[0144]

[0145] In the formula: P w-i P c-i , respectively, represent the active power value and control target of the i-th adjustable load during the calculation period, n is the number of sampling points, and R is the regulation stability index.

[0146] Similarly, based on the stability index, the smaller the value, the higher the priority. i The smaller the value, the better. i This is the sorting sequence number.

[0147] 104) Adjustment frequency priority: Adjustments are prioritized according to the number of times they participate in APC control, with those involving fewer adjustments having higher priority. The adjustment frequency priority coefficient is denoted as N. i ;

[0148] Similarly, they are sorted according to the number of adjustments; the fewer the adjustments, the higher the priority. N i The smaller the value N, the better. i This is the sorting sequence number.

[0149] 105) First, calculate the adjustment priority of the adjustable load virtual machine group in real time according to different priority requirements. The calculation method is as follows:

[0150] P i =D i +R i +Q i +N i (3)

[0151] The adjustment deviation is then allocated according to the adjustable load priority and the maximum single step size of each adjustable load, specifically as follows:

[0152] The total adjustment deviation of the adjustable load is allocated to each individual adjustable load according to priority. When allocating, the maximum allocation amount of each individual adjustable load (this is the maximum single step size) should be taken into account. For example, if the total amount to be allocated is 100MW, and the first one can only be allocated a maximum of 15MW, then 15MW is allocated to the first one, and the remaining 85MW is allocated to the second adjustable load.

[0153] The adjustment deviation allocation result, plus the control baseline, serves as the control target for the adjustable load virtual machine group.

[0154] 11) After the main station APC adopts the corresponding control mode, it forms the corresponding control target for the load-side virtual machine group and sends it to the load aggregator in real time. The load aggregator controls the load resources under aggregation according to the control instructions issued by the provincial dispatch APC.

[0155] Example:

[0156] like Figure 1 As shown, adjustable load resources are aggregated and equivalent to an adjustable load virtual machine group. The adjustment process of this virtual machine group is achieved by the load aggregator controlling the resources on the individual load side, ultimately realizing the response to the frequency regulation control requirements of the power grid.

[0157] An adjustable load virtual machine group is incorporated into the APC control system of the provincial power grid master station to construct a power grid frequency regulation control model. The control model includes APC controllable signals, frequency regulation control participation signals, actual output of the adjustable load virtual machine group, upper power regulation limit, and lower power regulation limit. The provincial dispatch APC master station sets three control modes for the adjustable load virtual machine group: local mode, baseline frequency regulation mode, and auxiliary frequency regulation mode.

[0158] The adjustable load virtual machine group sends input data to the provincial dispatch APC master station, including APC controllable signals and frequency modulation control participation signals.

[0159] If the adjustable load virtual machine group sends controllable signals and frequency modulation control participation signals are both "on", then the provincial dispatch APC master station can set the control mode of the adjustable load virtual machine group to "local control", "baseline frequency modulation mode" or "auxiliary frequency modulation mode" as needed.

[0160] If the adjustable load virtual machine group is in "baseline frequency regulation mode", the APC first obtains the peak shaving plan curve of the adjustable load virtual machine group. This curve typically has 95 points per day, one point every 15 minutes. Then, it interpolates the peak shaving plan curve at fixed time intervals (e.g., once per minute) to calculate the base point value for load frequency regulation control at the current moment. When the control mode of the adjustable load virtual machine group is "auxiliary frequency regulation mode", the master station APC first obtains the real-time active power value of the adjustable load virtual machine group as the base point value for frequency regulation control of the current adjustable load control object.

[0161] After determining the control model and control strategy for the adjustable load virtual machine group, the master station APC system calculates the ACE of this control area based on the grid frequency and tie-line power.

[0162] Then calculate the target for the adjustable load virtual machine group, including:

[0163] First, an assessment is conducted to determine whether each adjustable load virtual machine group has the capability to participate in grid frequency regulation. This mainly includes assessments of operational status, regulation time periods, regulation range, regulation capacity, and prohibited regulation. Through these assessments, the adjustable load virtual machine groups that can participate in frequency regulation control are identified.

[0164] Then, based on the peak and valley electricity price factors of the load, the adjustable load adjustment strategy under the peak and valley electricity price is calculated first. That is, during the peak electricity price period, no power increase control command is issued for the adjustable load, and the power reduction command is executed first. During the valley electricity price period, the power increase command is executed first.

[0165] After determining the overall grid ACE (Active Energy Regulation) demand and the primary priority of adjustable loads under peak-valley pricing, the regulation demand is allocated between conventional units and adjustable loads. The allocation strategy is as follows: if the ACE is in the positive secondary emergency zone, the allocation strategy prioritizes conventional thermal power, and the remaining portion allocated to conventional thermal power is borne by adjustable loads; if the ACE is in the positive emergency zone, the allocation strategy is based on the ratio of adjustable loads to conventional thermal power, allocating the regulation demand between conventional thermal power and adjustable loads according to the regulation capacity ratio; if the ACE is above the negative normal zone, then adjustable loads participating in frequency regulation are given priority in ACE allocation, and the remaining portion is borne by thermal power units.

[0166] After allocating the control area's regulation demand between conventional thermal power and adjustable loads, the total regulation demand of the adjustable loads is then distributed among the various load virtual machine groups. A dynamic priority allocation strategy is employed when allocating regulation deviations. The priority coefficients of each adjustable virtual machine group participating in frequency regulation are calculated in real time, and allocation is performed according to these priority coefficients. The ranking factors include regulation direction priority, deviation direction margin priority, regulation stability priority, and regulation frequency priority. Regulation deviations are allocated based on the adjustable load priority coefficients and the maximum single-step size of each adjustable load. The regulation deviation allocation results, plus the control baseline, serve as the control target for the adjustable load virtual machine groups.

[0167] Finally, after the main station APC adopts the corresponding control mode, it forms the corresponding control target for the load-side virtual machine group and sends it to the load aggregator in real time. The load aggregator then controls the load resources under the aggregation according to the control instructions issued by the provincial dispatch APC.

[0168] Another embodiment of the present invention provides a control device for adjustable load to participate in the frequency regulation of the master station APC, comprising:

[0169] The data acquisition module is used to identify adjustable loads aggregated by a load aggregator as an adjustable load virtual machine group and acquire the input data of the adjustable load virtual machine group.

[0170] The mode control module is used to determine the frequency modulation control mode based on the input data of the adjustable load virtual machine group;

[0171] as well as,

[0172] The frequency modulation control module is used to calculate the control target of the adjustable load virtual machine group according to the frequency modulation control mode and send it to the load side.

[0173] In this embodiment, the mode control module is specifically used for,

[0174] When the remote signaling values ​​of both the APC controllable signal and the frequency modulation participation signal in the input data of the adjustable load virtual machine group acquired by the data acquisition module are "on", the frequency modulation control mode is set to baseline frequency modulation mode or auxiliary frequency modulation mode.

[0175] Furthermore, the frequency modulation control module is specifically used to calculate the control target of the adjustable load virtual machine group according to the following formula:

[0176] P t =P b +P d ;

[0177] Among them, P t For the control objective of the adjustable load virtual machine group, P b For the base point power of the adjustable load virtual machine group, P d The allocation of frequency regulation demand for adjustable load virtual machine groups participating in frequency regulation;

[0178] In baseline frequency modulation mode, the base point power of the adjustable load virtual machine group is: obtain the peak shaving plan curve of the adjustable load virtual machine group, and calculate the base point power of the current adjustable load virtual machine group by interpolating the peak shaving plan curve at fixed time intervals;

[0179] In assisted frequency regulation mode, the base point power of the adjustable load virtual machine group is: obtain the real-time active power value of the adjustable load virtual machine group as the base point power of the current adjustable load virtual machine group.

[0180] In this embodiment, the frequency modulation control module is also used for,

[0181] Based on the priority requirements of ACE and adjustable load virtual machines in peak-valley electricity pricing, frequency regulation demand is allocated between conventional units and adjustable loads; the frequency regulation demand is calculated by the APC system according to the set control mode;

[0182] The frequency regulation demand acquired by the adjustable load is allocated among the various adjustable load virtual machine groups that can participate in frequency regulation, thus obtaining the frequency regulation demand allocation amount for the adjustable load virtual machine groups to participate in frequency regulation.

[0183] In this embodiment, the frequency regulation control module is specifically used to distribute frequency regulation demand between conventional units and adjustable loads in the following manner:

[0184] Based on the absolute value of ACE, power grid regulation is divided into: dead zone, normal zone, secondary emergency zone and emergency zone; when ACE is positive, it is positive dead zone, positive normal zone, positive secondary emergency zone and positive emergency zone; when ACE is negative, it is negative dead zone, negative normal zone, negative secondary emergency zone and negative emergency zone.

[0185] If the ACE is in the positive secondary emergency zone, frequency regulation demand will be allocated to conventional units first, and the remaining frequency regulation demand after the allocation to conventional units will be allocated to adjustable loads.

[0186] If the ACE is in the positive emergency zone, the frequency regulation demand will be distributed between conventional units and adjustable loads according to the regulation capacity ratio.

[0187] If the ACE is in either the negative secondary emergency zone or the negative emergency zone, frequency regulation demand will be preferentially allocated to adjustable loads, and the remaining frequency regulation demand will be allocated to conventional units.

[0188] ACE is calculated based on the grid frequency and tie-line power.

[0189] In this embodiment, the frequency modulation control module is specifically used to distribute the frequency modulation demand acquired by the adjustable load among the various adjustable load virtual machine groups that can participate in frequency modulation in the following manner:

[0190] Calculate the adjustment priority coefficient of the adjustable load virtual machine group that can participate in frequency regulation at the current moment:

[0191] P i =D i +R i +Q i +N i ;

[0192] Among them, P i D is the adjustment priority coefficient for the i-th adjustable load virtual machine group that can participate in frequency regulation. i R is the adjustment direction priority coefficient for the i-th adjustable load virtual machine group that can participate in frequency regulation. i Q is the adjustment direction margin priority coefficient for the i-th adjustable load virtual machine group that can participate in frequency regulation. i N represents the regulation stability priority coefficient for the i-th adjustable load virtual machine group that can participate in frequency regulation. i Let i be the priority coefficient for the number of adjustments made by the i-th adjustable load virtual machine group that can participate in frequency regulation;

[0193] The frequency regulation demand acquired by the adjustable load is allocated according to the adjustment priority coefficient of the adjustable load virtual machine group and the maximum allocation of each adjustable load virtual machine group that can participate in frequency regulation; the smaller the adjustment priority coefficient, the higher the allocation rate.

[0194] The priority coefficient for the adjustment direction is calculated as follows: All adjustable load virtual machine groups capable of participating in frequency regulation are sorted in descending order of their future 5-minute peak-shaving plan deviations. i The value is the sorting index;

[0195] The adjustment direction margin priority coefficient is calculated as follows: the adjustment deviation direction margins of the adjustable load virtual machine groups are sorted from largest to smallest, R i The value is the sorting index;

[0196] The adjustment stability priority coefficient is calculated as follows: The adjustment stability index of the adjustable load virtual machine group is calculated, and the adjustment stability index is sorted from smallest to largest, Q. i The value is the sorting index;

[0197] The priority coefficient for the number of adjustments is calculated as follows: all adjustable load virtual machine groups that can participate in frequency regulation are sorted in ascending order of the number of adjustments they participate in APC control, N. i The value is the sorting index;

[0198] The adjustable load virtual machine groups that can participate in frequency regulation are selected as follows:

[0199] All adjustable load virtual machines that are not in frequency regulation mode cannot participate in grid frequency regulation;

[0200] When the adjustable load virtual machine group is in baseline frequency regulation mode, and the peak shaving plan baseline is in the rapid ramp-up and ramp-down period, the current adjustable load virtual machine group cannot participate in baseline frequency regulation.

[0201] When the active power of the adjustable load virtual machine group is close to the adjustment range, the current adjustable load virtual machine group cannot participate in the grid frequency regulation.

[0202] When the adjustable load virtual machine group fails to actually respond to the previous control command, it will not participate in the grid frequency regulation in the same direction;

[0203] When the adjustable load aggregator sends a prohibition signal, the adjustable load virtual machine group will not participate in the grid frequency regulation in the prohibited regulation direction.

[0204] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0205] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0206] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0207] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

Claims

1. A control method for adjustable loads participating in frequency regulation by a master station APC, characterized in that, include: An adjustable load aggregated by a load aggregator is called an adjustable load virtual machine group. The input data of the adjustable load virtual machine group is obtained. The frequency regulation control mode is determined based on the input data of the adjustable load virtual machine group, including: When the remote signaling values ​​of both the APC controllable signal and the frequency modulation participation signal in the input data of the adjustable load virtual machine group are "on", then the frequency modulation control mode is set to baseline frequency modulation mode or auxiliary frequency modulation mode. The control objectives of the adjustable load virtual machine group are calculated based on the frequency modulation control mode and then sent to the load side. The control target is calculated as follows: ； in, The control objective for adjustable load virtual machine groups. The base point power for adjustable load virtual machine groups, The allocation of frequency regulation demand for adjustable load virtual machine groups participating in frequency regulation; In baseline frequency modulation mode, the base point power of the adjustable load virtual machine group is: obtain the peak shaving plan curve of the adjustable load virtual machine group, and calculate the base point power of the current adjustable load virtual machine group by interpolating the peak shaving plan curve at fixed time intervals; In assisted frequency regulation mode, the base point power of the adjustable load virtual machine group is: obtain the real-time active power value of the adjustable load virtual machine group as the base point power of the current adjustable load virtual machine group.

2. The control method for adjustable load participating in the frequency regulation of the master station APC according to claim 1, characterized in that, The input data for acquiring the adjustable load virtual machine group includes: Remote signaling data: APC controllable signals and frequency modulation participation signals; Telemetry data: Current output of the adjustable load virtual machine group, upper limit of adjustable power of the adjustable load virtual machine group, and lower limit of adjustable power of the adjustable load virtual machine group.

3. The control method for adjustable load participating in the frequency regulation of the master station APC according to claim 2, characterized in that, The frequency regulation demand allocation for the adjustable load virtual machine group participating in frequency regulation is calculated as follows: Based on the priority requirements of ACE and adjustable load virtual machines in peak-valley electricity pricing, frequency regulation demand is allocated between conventional units and adjustable loads; the frequency regulation demand is calculated by the APC system according to the set control mode; The frequency regulation requirements acquired by the adjustable load are distributed among the various adjustable load virtual machine groups that can participate in frequency regulation.

4. The control method for adjustable load participating in the frequency regulation of the master station APC according to claim 3, characterized in that, The allocation of frequency regulation demand between conventional units and adjustable loads includes: Based on the absolute value of ACE, power grid regulation is divided into: dead zone, normal zone, secondary emergency zone and emergency zone; when ACE is positive, it is positive dead zone, positive normal zone, positive secondary emergency zone and positive emergency zone; when ACE is negative, it is negative dead zone, negative normal zone, negative secondary emergency zone and negative emergency zone. If the ACE is in the positive secondary emergency zone, frequency regulation demand will be allocated to conventional units first, and the remaining frequency regulation demand after the allocation to conventional units will be allocated to adjustable loads. If the ACE is in the positive emergency zone, the frequency regulation demand will be distributed between conventional units and adjustable loads according to the regulation capacity ratio. If the ACE is in either the negative secondary emergency zone or the negative emergency zone, frequency regulation demand will be preferentially allocated to adjustable loads, and the remaining frequency regulation demand will be allocated to conventional units. ACE is calculated based on the grid frequency and tie-line power.

5. The control method for adjustable load participating in the frequency regulation of the master station APC according to claim 4, characterized in that, It also includes, When adjustable loads participate in grid frequency regulation control, they must meet the following regulation strategies: Based on the peak-valley electricity pricing periods published by the government, a peak-valley-normal period table is created. During peak electricity price periods, adjustable loads will not receive power increase control commands, but will instead receive power decrease commands. Adjustable loads will prioritize power increase commands during off-peak electricity price periods.

6. The control method for adjustable load participating in the frequency regulation of the master station APC according to claim 3, characterized in that, The allocation of frequency regulation requirements acquired by adjustable loads among various adjustable load virtual machine groups capable of participating in frequency regulation includes: Calculate the adjustment priority coefficient of the adjustable load virtual machine group that can participate in frequency regulation at the current moment: ； in, For the first The adjustment priority coefficient of an adjustable load virtual machine group that can participate in frequency regulation. For the first The adjustment direction priority coefficient of an adjustable load virtual machine group that can participate in frequency regulation. For the first The adjustment direction margin priority coefficient of an adjustable load virtual machine group that can participate in frequency regulation. For the first The regulation stability priority coefficient of an adjustable load virtual machine group that can participate in frequency regulation. For the first Priority coefficient for the number of adjustments made by an adjustable load virtual machine group that can participate in frequency regulation; The frequency regulation demand acquired by the adjustable load is allocated according to the adjustment priority coefficient of the adjustable load virtual machine group and the maximum allocation of each adjustable load virtual machine group that can participate in frequency regulation; the smaller the adjustment priority coefficient, the higher the allocation rate. The priority coefficient for the adjustment direction is calculated as follows: sort the peak shaving plan deviations of all adjustable load virtual machine groups that can participate in frequency regulation in descending order. The value is the sorting index; The adjustment direction margin priority coefficient is calculated by sorting the adjustment deviation direction margins of the adjustable load virtual machine groups from largest to smallest. The value is the sorting index; The adjustment stability priority coefficient is calculated as follows: calculate the adjustment stability index of the adjustable load virtual machine group, and sort the adjustment stability indexes from smallest to largest. The value is the sorting index; The priority coefficient for the number of adjustments is calculated as follows: all adjustable load virtual machine groups that can participate in frequency regulation are sorted in ascending order according to the number of adjustments they participate in APC control. The value is the sorting index; The adjustable load virtual machine groups that can participate in frequency regulation are selected as follows: All adjustable load virtual machines that are not in frequency regulation mode cannot participate in grid frequency regulation; When the adjustable load virtual machine group is in baseline frequency regulation mode, and the peak shaving plan baseline is in the rapid ramp-up and ramp-down period, the current adjustable load virtual machine group cannot participate in baseline frequency regulation. When the active power of the adjustable load virtual machine group is close to the adjustment range, the current adjustable load virtual machine group cannot participate in the grid frequency regulation. When the adjustable load virtual machine group fails to actually respond to the previous control command, it will not participate in the grid frequency regulation in the same direction; When the adjustable load aggregator sends a prohibition signal, the adjustable load virtual machine group will not participate in the grid frequency regulation in the prohibited regulation direction.

7. A control device for adjustable load participating in the frequency regulation of the main station APC, characterized in that, The apparatus for implementing the control method for adjustable load participating in the frequency regulation of the master station APC as described in any one of claims 1 to 6 includes: The data acquisition module is used to identify adjustable loads aggregated by a load aggregator as an adjustable load virtual machine group and acquire the input data of the adjustable load virtual machine group. The mode control module is used to determine the frequency modulation control mode based on the input data of the adjustable load virtual machine group; as well as, The frequency modulation control module is used to calculate the control target of the adjustable load virtual machine group according to the frequency modulation control mode and send it to the load side.

8. The control device for adjustable load participating in the frequency regulation of the master station APC according to claim 7, characterized in that, The mode control module is specifically used for, When the remote signaling values ​​of both the APC controllable signal and the frequency modulation participation signal in the input data of the adjustable load virtual machine group acquired by the data acquisition module are "on", the frequency modulation control mode is set to the baseline frequency modulation mode or the auxiliary frequency modulation mode.

9. A control device for adjustable load participating in the frequency regulation of the master station APC according to claim 8, characterized in that, The frequency modulation control module is specifically used to calculate the control target of the adjustable load virtual machine group according to the following formula: ； in, The control objective for adjustable load virtual machine groups. The base point power for adjustable load virtual machine groups, The allocation of frequency regulation demand for adjustable load virtual machine groups participating in frequency regulation; In baseline frequency modulation mode, the base point power of the adjustable load virtual machine group is: obtain the peak shaving plan curve of the adjustable load virtual machine group, and calculate the base point power of the current adjustable load virtual machine group by interpolating the peak shaving plan curve at fixed time intervals; In assisted frequency regulation mode, the base point power of the adjustable load virtual machine group is: obtain the real-time active power value of the adjustable load virtual machine group as the base point power of the current adjustable load virtual machine group.

10. A control device for adjustable load participating in the frequency regulation of the master station APC according to claim 9, characterized in that, The frequency modulation control module is also used for, Based on the priority requirements of ACE and adjustable load virtual machines in peak-valley electricity pricing, frequency regulation demand is allocated between conventional units and adjustable loads; the frequency regulation demand is calculated by the APC system according to the set control mode; The frequency regulation demand acquired by the adjustable load is allocated among the various adjustable load virtual machine groups that can participate in frequency regulation, thus obtaining the frequency regulation demand allocation amount for the adjustable load virtual machine groups to participate in frequency regulation.

11. A control device for adjustable load participating in the frequency regulation of the master station APC according to claim 10, characterized in that, The frequency regulation control module is specifically used to distribute frequency regulation requirements between conventional units and adjustable loads in the following manner: Based on the absolute value of ACE, power grid regulation is divided into: dead zone, normal zone, secondary emergency zone and emergency zone; when ACE is positive, it is positive dead zone, positive normal zone, positive secondary emergency zone and positive emergency zone; when ACE is negative, it is negative dead zone, negative normal zone, negative secondary emergency zone and negative emergency zone. If the ACE is in the positive secondary emergency zone, frequency regulation demand will be allocated to conventional units first, and the remaining frequency regulation demand after the allocation to conventional units will be allocated to adjustable loads. If the ACE is in the positive emergency zone, the frequency regulation demand will be distributed between conventional units and adjustable loads according to the regulation capacity ratio. If the ACE is in either the negative secondary emergency zone or the negative emergency zone, frequency regulation demand will be preferentially allocated to adjustable loads, and the remaining frequency regulation demand will be allocated to conventional units. ACE is calculated based on the grid frequency and tie-line power.

12. The control device for adjustable load participating in the frequency regulation of the master station APC according to claim 11, characterized in that, The frequency modulation control module is specifically used to distribute the frequency modulation demand acquired by the adjustable load among various adjustable load virtual machine groups that can participate in frequency modulation in the following manner: Calculate the adjustment priority coefficient of the adjustable load virtual machine group that can participate in frequency regulation at the current moment: ； in, For the first The adjustment priority coefficient of an adjustable load virtual machine group that can participate in frequency regulation. For the first The adjustment direction priority coefficient of an adjustable load virtual machine group that can participate in frequency regulation. For the first The adjustment direction margin priority coefficient of an adjustable load virtual machine group that can participate in frequency regulation. For the first The regulation stability priority coefficient of an adjustable load virtual machine group that can participate in frequency regulation. For the first Priority coefficient for the number of adjustments made by an adjustable load virtual machine group that can participate in frequency regulation; The frequency regulation demand acquired by the adjustable load is allocated according to the adjustment priority coefficient of the adjustable load virtual machine group and the maximum allocation of each adjustable load virtual machine group that can participate in frequency regulation; the smaller the adjustment priority coefficient, the higher the allocation rate. The priority coefficient for the adjustment direction is calculated as follows: sort the peak shaving plan deviations of all adjustable load virtual machine groups that can participate in frequency regulation in descending order. The value is the sorting index; The adjustment direction margin priority coefficient is calculated by sorting the adjustment deviation direction margins of the adjustable load virtual machine groups from largest to smallest. The value is the sorting index; The adjustment stability priority coefficient is calculated as follows: calculate the adjustment stability index of the adjustable load virtual machine group, and sort the adjustment stability indexes from smallest to largest. The value is the sorting index; The priority coefficient for the number of adjustments is calculated as follows: all adjustable load virtual machine groups that can participate in frequency regulation are sorted in ascending order according to the number of adjustments they participate in APC control. The value is the sorting index; The adjustable load virtual machine groups that can participate in frequency regulation are selected as follows: All adjustable load virtual machines that are not in frequency regulation mode cannot participate in grid frequency regulation; When the adjustable load virtual machine group is in baseline frequency regulation mode, and the peak shaving plan baseline is in the rapid ramp-up and ramp-down period, the current adjustable load virtual machine group cannot participate in baseline frequency regulation. When the active power of the adjustable load virtual machine group is close to the adjustment range, the current adjustable load virtual machine group cannot participate in the grid frequency regulation. When the adjustable load virtual machine group fails to actually respond to the previous control command, it will not participate in the grid frequency regulation in the same direction; When the adjustable load aggregator sends a prohibition signal, the adjustable load virtual machine group will not participate in the grid frequency regulation in the prohibited regulation direction.

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