An active load control method and system based on power supply and load prediction deviation

Abstract

The application discloses a kind of active load control method and system based on power supply and load prediction deviation, to solve the problem that the control of active load in prior art cannot accurately consider the prediction deviation of distributed power supply and passive load, and the large amount of calculation.The application realizes the active load power control that can effectively offset the prediction deviation on the basis of considering the prediction deviation of distributed power supply and passive load prediction deviation, combined with the power range check of active load, thereby effectively reducing the power imbalance degree of source network load storage area operation.The application is mainly aimed at the active load control power value calculation of source network load storage integrated region;Consider the prediction deviation of distributed power supply and passive load prediction deviation in history as calculation parameter, realize the active load power control that effectively offsets the prediction deviation;Carry out the power range check of active load, so that the power control of active load is more close to actual scene.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of electric power, and relates to an active load control method and system based on power source and load prediction deviation. BACKGROUND

[0002] Active load: including interruptible power load and adjustable power load. Passive load: non-interruptible or adjustable power load. Source network load storage area refers to a small comprehensive energy area containing distributed power (wind power, photovoltaic), active load, ordinary load and energy storage. Operation control of source network load storage refers to power distribution and instruction control of each power generation unit, active and passive load and energy storage in the area, so as to realize real-time power balance of the area while ensuring power and electricity balance.

[0003] At present, the power control of active load is basically real-time power balance in a small range, that is, the control of active load is equal to the power shortage at the last moment, and there is no predictive and forward-looking active load control strategy. Based on the power shortage and power balance at the last moment, the control of active load cannot accurately consider the prediction deviation of distributed power and passive load. Considering the benefit optimization of active load power control, the control strategy is mostly complex, and the calculation amount is increased. SUMMARY

[0004] The application aims to solve the problems in the prior art, and provides an active load control method and system based on power source and load prediction deviation, which aims to solve the problems that the control of active load in the prior art cannot accurately consider the prediction deviation of distributed power and passive load, and the calculation amount is large.

[0005] To achieve the above-mentioned purpose, the application adopts the following technical solutions:

[0006] The application provides an active load control method based on power source and load prediction deviation, which comprises the following steps:

[0007] A certain moment is set as the 0th moment, the operation moment of the 0th moment is the tth moment, t>10;The predicted output value of distributed wind power from 0-t moment, the predicted output value of distributed photovoltaic from 0-t moment, the planned output value of energy storage from 0-t moment, the predicted output value of passive load from 0-t moment, the actual output of distributed wind power at the ith moment, the actual output of distributed photovoltaic at the ith moment and the actual load power of passive load at the ith moment are obtained;Wherein, i=1~(t-1);

[0008] According to the predicted output value of the distributed wind power from 0-t moment, the predicted output value of the distributed photovoltaic from 0-t moment, the predicted output value of the passive load from 0-t moment, the actual output of the distributed wind power at the i moment, the actual output of the distributed photovoltaic at the i moment and the actual load power of the passive load at the i moment, the power shortage value from the i moment to the t-1 moment is obtained;

[0009] According to the power shortage value from the i moment to the t-1 moment, the expected power shortage at the t moment is obtained; according to the predicted output value of the distributed wind power from 0-t moment, the predicted output value of the distributed photovoltaic from 0-t moment, the planned output value of the energy storage from 0-t moment, the predicted output value of the passive load from 0-t moment and the expected power shortage at the t moment, the initial power instruction value of the active load at the t moment is obtained;

[0010] The initial power instruction value of the active load at the t moment is checked to determine the active load power instruction value.

[0011] Preferably, the calculation of the power shortage value ΔP(i) at the i moment is shown in formula (1):

[0012] ΔP(i)=(Pwindyc(i)+Ppvyc(i)-Ploadyc(i))-(Pwind(i)+Ppv(i)-Pload(i))(1)

[0013] Wherein, Pwindyc(t) is the predicted output value of the distributed wind power from 0-t moment; Ppvyc(t) is the predicted output value of the distributed photovoltaic from 0-t moment; Ploadyc(t) is the predicted output value of the passive load from 0-t moment; Pwind(i) is the actual output of the distributed wind power at the i moment, Ppv(i) is the actual output of the distributed photovoltaic at the i moment, and Pload(i) is the actual load power of the passive load at the i moment.

[0014] Preferably, the calculation of the expected power shortage ΔP(t) at the t moment is shown in formula (2):

[0015]

[0016] Preferably, the calculation of the initial power instruction value Ploadac(t) of the active load at the t moment is shown in formula (3):

[0017] Ploadac(t)=Pwindyc(t)+Ppvyc(t)+Pstore(t)-Ploadyc(t)-ΔP(t) (3).

[0018] Preferably, the method for checking the power instruction value is as follows:

[0019] When the initial power instruction value Ploadac(t) of the active load at time t is greater than the current maximum allowable value Ploadacmax(t), the initial power instruction value Ploadac(t) is the current maximum allowable value Ploadacmax(t);

[0020] When the initial power instruction value Ploadac(t) of the active load at time t is less than the current minimum allowable value Ploadacmin(t), the initial power instruction value Ploadac(t) is the current minimum allowable value Ploadacmin(t).

[0021] Preferably, the current maximum allowable value Ploadacmax(t) and the current minimum allowable value Ploadacmin(t) are both determined in real time according to the actual situation of the active load in the region.

[0022] The application provides an active load control system based on power supply and load prediction deviation.

[0023] The data acquisition module is used for setting a time as the 0th time, and the operation time of the 0th time as the tth time, t>10; acquiring the predicted output value of the distributed wind power from the 0th time to the tth time, the predicted output value of the distributed photovoltaic from the 0th time to the tth time, the planned output value of the energy storage from the 0th time to the tth time, the predicted output value of the passive load from the 0th time to the tth time, the actual output of the distributed wind power at the ith time, the actual output of the distributed photovoltaic at the ith time and the actual load power of the passive load at the ith time; wherein i=1~(t-1).

[0024] The power shortage value acquisition module is used for acquiring the power shortage value from the ith time to the t-1th time according to the predicted output value of the distributed wind power from the 0th time to the tth time, the predicted output value of the distributed photovoltaic from the 0th time to the tth time, the predicted output value of the passive load from the 0th time to the tth time, the actual output of the distributed wind power at the ith time, the actual output of the distributed photovoltaic at the ith time and the actual load power of the passive load at the ith time.

[0025] The initial power instruction value acquisition module is used for acquiring the expected power shortage at the tth time according to the power shortage value from the ith time to the t-1th time; and acquiring the initial power instruction value of the active load at the tth time according to the predicted output value of the distributed wind power from the 0th time to the tth time, the predicted output value of the distributed photovoltaic from the 0th time to the tth time, the planned output value of the energy storage from the 0th time to the tth time, the predicted output value of the passive load from the 0th time to the tth time and the expected power shortage at the tth time.

[0026] The active load power instruction value acquisition module is used for checking the initial power instruction value of the active load at the tth time, and acquiring the active load power instruction value.

[0027] A computer device comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the active load control method based on power supply and load prediction deviation when executing the computer program.

[0028] A computer readable storage medium stores a computer program, and the computer program implements the steps of the active load control method based on power supply and load prediction deviation when executed by a processor.

[0029] Compared with the prior art, the present application has the following beneficial effects:

[0030] The active load control method based on power supply and load prediction deviation provided by the present application firstly sets a certain time as the 0th time, and the operation time of the 0th time is the tth time, t is greater than 10 because if t is too small, it will lead to too little data, large error in the calculation process and low calculation accuracy; secondly, the predicted output values of all components of wind power, photovoltaic, energy storage and load within 0-t time are obtained, which can facilitate the calculation of the power shortage value from the ith time to the t-1th time; finally, the initial power instruction value of the active load at the tth time is determined according to the power shortage value from the ith time to the t-1th time and the predicted output value, and the active load power instruction value is determined by checking the initial power instruction value of the active load at the tth time. On the basis of considering the prediction deviation of the distributed power supply and the passive load prediction deviation, combined with the power range check of the active load, the active load power control of the prediction deviation can be effectively offset, thereby effectively reducing the power imbalance degree during the operation of the source-grid-load-storage integrated region. The active load control method provided by the present application mainly calculates the active load control power of the source-grid-load-storage integrated region, and solves the problem of large calculation amount.

[0031] Further, the current maximum allowable value Ploadacmax(t) and the current minimum allowable value Ploadacmin(t) are both determined in real time according to the actual situation of the active load in the region, solving the problem that the active load power instruction value cannot guarantee real-time performance.

[0032] The active load control system based on power supply and load prediction deviation provided by the present application divides the system into a data acquisition module, a power shortage value acquisition module, an initial power instruction value acquisition module and an active load power instruction value acquisition module, adopts the modularization idea to make each module independent of each other, and facilitates unified management of each module. BRIEF DESCRIPTION OF DRAWINGS

[0033] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is a flowchart of the active load control method based on power supply and load prediction deviation of the present invention.

[0035] Figure 2 This is a detailed flowchart of the active load control method based on power supply and load prediction deviation of the present invention.

[0036] Figure 3 This is a diagram of the active load control system based on power supply and load prediction deviations of the present invention. Detailed Implementation

[0037] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0038] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0039] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0040] In the description of the embodiments of the present invention, it should be noted that if terms such as "upper," "lower," "horizontal," or "inner" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of the invention is in use, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. Furthermore, terms such as "first" and "second" are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0041] In addition, if the term "horizontal" is used, it is not meant to require absolutely horizontal surfaces, but rather can be slightly inclined. As such, the term "horizontal" is used to mean that the direction is more horizontal than vertical, and is not meant to require a perfectly horizontal surface.

[0042] In the description of the embodiments of the present application, it should also be noted that, unless specifically defined and limited otherwise, if the terms "set", "install", "connect", "connect" appear, it should be understood in a broad sense, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected, it can be mechanically connected, or it can be electrically connected, it can be directly connected, or indirectly connected through an intermediate medium, it can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0043] The present application will be described in further detail below with reference to the accompanying drawings:

[0044] The present application proposes an active load control method based on power supply and load prediction deviation, as shown in Figure 1 The method comprises the following steps:

[0045] Set a certain time as the 0th time, the operation time of the 0th time as the tth time, t>10; obtain the predicted output value of the distributed wind power from 0-t time, the predicted output value of the distributed photovoltaic from 0-t time, the planned output value of the energy storage from 0-t time and the predicted output value of the passive load from 0-t time;

[0046] According to the predicted output value of the distributed wind power from 0-t time, the predicted output value of the distributed photovoltaic from 0-t time, the predicted output value of the passive load from 0-t time, the actual output of the distributed wind power at the ith time, the actual output of the distributed photovoltaic at the ith time and the actual load power of the passive load at the ith time, the power shortage value from the ith time to the t-1th time is obtained; wherein, i=1~(t-1);

[0047] According to the power shortage value from the ith time to the t-1th time, the expected power shortage at the tth time is obtained; according to the predicted output value of the distributed wind power from 0-t time, the predicted output value of the distributed photovoltaic from 0-t time, the planned output value of the energy storage from 0-t time, the predicted output value of the passive load from 0-t time and the expected power shortage at the tth time, the initial power instruction value of the active load at the tth time is obtained;

[0048] The initial power instruction value of the active load at the tth time is checked to determine the active load power instruction value.

[0049] As shown in Figure 2As shown, it is a flow chart of the active load control method based on power supply and load prediction deviation, and the optimization method will be introduced below in combination with the flow chart.

[0050] 1) Set a certain time as the 0th time (generally, 0:00 of a natural day can be taken), and the current operation time is the tth time, i.e., the tth minute, and the time t runs the calculation (generally, t>10, if t≤10, the 0:00 of the previous natural day is set as the 0th time).

[0051] The purpose of this step is to clearly define the 0th point of time. However, since the predicted output value in the 0-t time will be used later, if t is too small, even 0, it will lead to too little data and inaccurate calculation. Therefore, when t≤10, the 0:00 of the previous natural day is set as the 0th time.

[0052] 2) Read Pwindyc(t), i.e., the predicted output value of the distributed wind power from the 0th to the tth time; Ppvyc(t), i.e., the predicted output value of the distributed photovoltaic from the 0th to the tth time; Pstore(t), i.e., the planned output value (i.e., the actual output value) of the energy storage from the 0th to the tth time; Ploadyc(t), i.e., the predicted output value of the passive load from the 0th to the tth time.

[0053] 3) Let the loop variable i=1, and calculate the power shortage value at the ith time, as shown in formula (1):

[0054] ΔP(i)=(Pwindyc(i)+Ppvyc(i)-Ploadyc(i))-(Pwind(i)+Ppv(i)-Pload(i))(1)

[0055] Wherein, Pwindyc(t) is the predicted output value of the distributed wind power from the 0th to the tth time; Ppvyc(t) is the predicted output value of the distributed photovoltaic from the 0th to the tth time; Ploadyc(t) is the predicted output value of the passive load from the 0th to the tth time; Pwind(i) is the actual output of the distributed wind power at the ith time; Ppv(i) is the actual output of the distributed photovoltaic at the ith time; Pload(i) is the actual load power of the passive load at the ith time.

[0056] 5) Whether i reaches the t-1th time, if not, i=i+1, repeat step 4); if yes, exit the loop, and calculate the expected power shortage at the tth time, as shown in formula (2):

[0057]

[0058] 6) Calculate the initial power instruction value of the active load at the tth time, as shown in formula (3):

[0059] Ploadac(t) = Pwindyc(t) + Ppvyc(t) + Pstore(t) - Ploadyc(t) - ΔP(t) (3)

[0060] 7) the power instruction value is checked, that is, the active load power instruction value is determined between the current allowed maximum value Ploadacmax(t) of Ploadac(t) and the current allowed minimum value Ploadacmin(t) of Ploadac(t).

[0061] The method of checking the power instruction value is as follows:

[0062] When the initial power instruction value Ploadac(t) of the active load at time t is greater than the current allowed maximum value Ploadacmax(t), the initial power instruction value Ploadac(t) is the current allowed maximum value Ploadacmax(t).

[0063] When the initial power instruction value Ploadac(t) of the active load at time t is less than the current allowed minimum value Ploadacmin(t), the initial power instruction value Ploadac(t) is the current allowed minimum value Ploadacmin(t).

[0064] The current allowed maximum value Ploadacmax(t) and the current allowed minimum value Ploadacmin(t) are determined in real time according to the actual situation of the active load in the region, for example, the minimum power of the heating air conditioner is 1000kW when the current temperature is low, and the corresponding Ploadacmin(t) is 1000kW.

[0065] The active load control system based on power supply and load prediction deviation provided by the application comprises: Figure 3 As shown in the figure, it comprises:

[0066] The data acquisition module is used for setting a time as the 0th time, the operation time of the 0th time as the tth time, t>10; acquiring the predicted output value of the distributed wind power from the 0th time to the tth time, the predicted output value of the distributed photovoltaic from the 0th time to the tth time, the planned output value of the energy storage from the 0th time to the tth time, the predicted output value of the passive load from the 0th time to the tth time, the actual output of the distributed wind power at the ith time, the actual output of the distributed photovoltaic at the ith time and the actual load power of the passive load at the ith time; wherein, i=1~(t-1).

[0067] A power shortage value acquisition module is configured to acquire power shortage values from the 0th time to the (t-1)th time according to predicted output values of the distributed wind power from the 0th time to the tth time, predicted output values of the distributed photovoltaic from the 0th time to the tth time, predicted output values of the passive load from the 0th time to the tth time, actual output of the distributed wind power at the ith time, actual output of the distributed photovoltaic at the ith time and actual load power of the passive load at the ith time.

[0068] An initial power instruction value acquisition module is configured to acquire an initial power instruction value of the active load at the tth time according to predicted output values of the distributed wind power from the 0th time to the tth time, predicted output values of the distributed photovoltaic from the 0th time to the tth time, planned output values of the energy storage from the 0th time to the tth time, predicted output values of the passive load from the 0th time to the tth time and the expected power shortage at the tth time.

[0069] An active load power instruction value acquisition module is configured to acquire an active load power instruction value by checking the initial power instruction value of the active load at the tth time.

[0070] An embodiment of the present application provides a terminal device, which comprises a processor, a memory and a computer program stored in the memory and executable on the processor. The processor implements the steps in each of the above-mentioned method embodiments when executing the computer program. Alternatively, the processor implements the functions of each module / unit in each of the above-mentioned device embodiments when executing the computer program.

[0071] The computer program can be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present application.

[0072] The terminal device can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing devices. The terminal device can include, but is not limited to, a processor and a memory.

[0073] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0074] The memory can be used to store the computer program and / or modules, and the processor realizes various functions of the terminal device by running or executing the computer program and / or modules stored in the memory, and calling the data stored in the memory.

[0075] The modules / units integrated in the terminal device, if realized in the form of software function units and sold or used as independent products, can be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium. The computer program can realize the steps of the above-mentioned various method embodiments when executed by a processor. The computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the computer readable medium can include or exclude contents according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.

[0076] The active load control method and system based on power supply and load prediction deviation provided by the application have the following advantages: 1) mainly for active load control power value calculation of a source-grid-load-storage integrated region; 2) considering the prediction deviation of the historical distributed power supply and the passive load prediction deviation as a calculation parameter, effectively improving the active load power control which effectively offsets the prediction deviation; 3) performing power range checking of the active load, so that the power control of the active load is closer to the actual scene; and 4) effectively reducing the power imbalance degree of the source-grid-load-storage region during operation.

[0077] The above only describes the preferred embodiments of the application and is not used to limit the application. For those skilled in the art, the application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the application shall be included in the protection scope of the application.

Claims

1. An active load control method based on power supply and load prediction deviation, characterized by, The method comprises the following steps: Setting a certain moment as the 0th moment, the operation moment of the 0th moment is the tth moment, t>10; acquiring the predicted output value of the distributed wind power from the 0th moment to the tth moment, the predicted output value of the distributed photovoltaic from the 0th moment to the tth moment, the planned output value of the energy storage from the 0th moment to the tth moment, the predicted output value of the passive load from the 0th moment to the tth moment, the actual output of the distributed wind power at the ith moment, the actual output of the distributed photovoltaic at the ith moment and the actual load power of the passive load at the ith moment; wherein, ; According to the predicted output value of the distributed wind power from 0-t time, the predicted output value of the distributed photovoltaic from 0-t time, the predicted output value of the passive load from 0-t time, the actual output of the distributed wind power at the ith time, the actual output of the distributed photovoltaic at the ith time and the actual load power of the passive load at the ith time, the power shortage value from the ith time to the t-1th time is obtained; According to the power shortage value from the ith time to the t-1th time, the expected power shortage at the t time is obtained; according to the predicted output value of the distributed wind power from 0-t time, the predicted output value of the distributed photovoltaic from 0-t time, the planned output value of the energy storage from 0-t time, the predicted output value of the passive load from 0-t time and the expected power shortage at the t time, the initial power instruction value of the active load at the t time is obtained; The initial power instruction value of the active load at the t time is checked to determine the active load power instruction value; power shortage value at the i-th moment The calculation is shown in equation (1): （1） wherein, is the predicted output value of the distributed wind power from time 0 to t; is the predicted output value of the distributed photovoltaic from time 0 to t; is the predicted output value of the passive load from time 0 to t; is the actual output of the distributed wind power at the ith moment, is the actual output of the distributed photovoltaic at the ith moment, is the actual load power of the passive load at the ith moment; expected power deficit at time t The calculation is shown in equation (2): （2）。 2. The active load control method based on power source and load prediction bias according to claim 1, characterized by, initial power command value of the active load at time t The calculation is shown in equation (3): （3）。 3. The active load control method based on power source and load prediction bias according to claim 2, characterized by, The method for checking the power instruction value is as follows: initial power command value of the active load at time t greater than the current allowable maximum value initial power command value current allowable maximum value ; initial power command value of the active load at time t less than the current allowable maximum value initial power command value is the current allowable minimum value .

4. The active load control method based on power source and load prediction bias according to claim 3, characterized by, Current allowed maximum And current allowed minimum Are determined in real time according to the actual situation of the active load in the area.

5. An active load control system based on power supply and load prediction bias, characterized by, The method comprises the following steps: The data acquisition module is used for setting a time point as the 0th time point, the operation time point of the 0th time point as the tth time point, t>10; acquiring the predicted output value of the distributed wind power from the 0th time point to the tth time point, the predicted output value of the distributed photovoltaic from the 0th time point to the tth time point, the planned output value of the energy storage from the 0th time point to the tth time point, the predicted output value of the passive load from the 0th time point to the tth time point, the actual output of the distributed wind power at the ith time point, the actual output of the distributed photovoltaic at the ith time point and the actual load power of the passive load at the ith time point; wherein, ; A power shortage value acquisition module is configured to obtain the power shortage value from the ith time to the t-1th time according to the predicted output value of the distributed wind power from 0-t time, the predicted output value of the distributed photovoltaic from 0-t time, the predicted output value of the passive load from 0-t time, the actual output of the distributed wind power at the ith time, the actual output of the distributed photovoltaic at the ith time and the actual load power of the passive load at the ith time; An initial power instruction value acquisition module is configured to obtain the expected power shortage at the t time according to the power shortage value from the ith time to the t-1th time; and obtain the initial power instruction value of the active load at the t time according to the predicted output value of the distributed wind power from 0-t time, the predicted output value of the distributed photovoltaic from 0-t time, the planned output value of the energy storage from 0-t time, the predicted output value of the passive load from 0-t time and the expected power shortage at the t time; An active load power instruction value acquisition module is configured to check the initial power instruction value of the active load at the t time to obtain the active load power instruction value. 6.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-5 when the computer program is executed by the processor. The processor executes the computer program to realize the steps of the active load control method based on the power source and load prediction deviation according to any one of claims 1 to 4.

7. A computer-readable storage medium storing a computer program, wherein the computer program comprises the following steps of: receiving a request for a resource from a client; determining whether the client is authorized to access the resource; and if the client is authorized to access the resource, providing the resource to the client. The computer program is executed by the processor to realize the steps of the active load control method based on the power source and load prediction deviation according to any one of claims 1 to 4.

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