CN114597906A - Active load control method and system based on power supply and load prediction deviation - Google Patents

Active load control method and system based on power supply and load prediction deviation Download PDF

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Publication number
CN114597906A
CN114597906A CN202210259070.3A CN202210259070A CN114597906A CN 114597906 A CN114597906 A CN 114597906A CN 202210259070 A CN202210259070 A CN 202210259070A CN 114597906 A CN114597906 A CN 114597906A
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moment
power
value
load
active load
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李铮
郭小江
齐革军
潘赫男
安少帅
鞠进
汤海雁
申旭辉
孙栩
赵瑞斌
付明志
秦猛
李春华
王鸿策
关何格格
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Huaneng Jiangsu Energy Development Co ltd
Huaneng Clean Energy Research Institute
Huaneng Group Technology Innovation Center Co Ltd
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Huaneng Jiangsu Energy Development Co ltd
Huaneng Clean Energy Research Institute
Huaneng Group Technology Innovation Center Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin

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Abstract

The invention discloses an active load control method and system based on power supply and load prediction deviation, and aims to solve the problems that the prediction deviation of a distributed power supply and a passive load cannot be accurately considered in the control of an active load in the prior art, and the calculation amount is large. The method realizes active load power control capable of effectively offsetting the prediction deviation by combining the power range check of the active load on the basis of considering the prediction deviation and the passive load prediction deviation of the distributed power supply, thereby effectively reducing the power imbalance degree during the operation of the source network load storage area. The method mainly aims at calculating the active load control power value of a source network load storage integrated area; the prediction deviation and the passive load prediction deviation of the historical distributed power supply are taken as calculation parameters, and active load power control for effectively offsetting the prediction deviation is realized; the power range of the active load is checked, so that the power control of the active load is closer to the actual scene.

Description

Active load control method and system based on power supply and load prediction deviation
Technical Field
The invention belongs to the technical field of electric power, and relates to an active load control method and system based on a power supply and load prediction deviation.
Background
Active load: including interruptible electrical loads, and adjustable electrical loads. Passive loading: uninterruptible or mediated electrical loads. The source network charge storage area refers to a small comprehensive energy area containing distributed power supplies (wind power and photovoltaic), active loads, common loads and energy storage. The operation control of the source network load storage means that the real-time power balance of the region is realized while the balance of electric power and electric quantity is ensured through power distribution and instruction control of each power generation unit, active and passive loads and energy storage in the region.
Currently, the power control of the active load is basically real-time power balance in a small range, that is, the control of the active load is equal to the power shortage at the last moment, and no predictive and prospective active load control strategy is included. Based on the power shortage and the power balance at the last moment, the control of the active load cannot accurately consider the prediction deviation of the distributed power supply and the passive load. The control strategy is mostly complex in consideration of the active load power control of the profit optimization, and meanwhile, the calculated amount is increased.
Disclosure of Invention
The invention aims to solve the problems in the prior art, provides an active load control method and system based on power supply and load prediction deviation, and aims to solve the problems that the prediction deviation of a distributed power supply and a passive load cannot be accurately considered in the control of the active load in the prior art, and the calculation amount is large.
In order to achieve the purpose, the invention adopts the following technical scheme to realize the purpose:
the invention provides an active load control method based on power supply and load prediction deviation, which comprises the following steps:
setting a certain time as 0 th time, setting the operation time of the 0 th time as the tth time, wherein t is more than 10; acquiring a forecasting force value of the distributed wind power from 0-t moment, a forecasting force value of the distributed photovoltaic from 0-t moment, a planning force value of the stored energy from 0-t moment, a forecasting force value of the passive load from 0-t moment, the distributed wind power actual output at the ith moment, the distributed photovoltaic actual output at the ith moment and the passive load actual load power at the ith moment; wherein i is 1 to (t-1);
acquiring a power deficit value from the ith moment to the t-1 moment according to the forecasting output value of the distributed wind power from the 0-t moment, the forecasting output value of the distributed photovoltaic power from the 0-t moment, the forecasting output value of the passive load from the 0-t moment, the distributed wind power actual output at the ith moment, the distributed photovoltaic actual output at the ith moment and the passive load actual load power at the ith moment;
acquiring expected power shortage at the t moment according to the power shortage value from the ith moment to the t-1 moment; acquiring an initial power instruction value of an active load at the t moment according to a predicted power output value of the distributed wind power from the 0-t moment, a predicted power output value of the distributed photovoltaic from the 0-t moment, a predicted power output value of the energy storage from the 0-t moment, a predicted power output value of the passive load from the 0-t moment and an expected power shortage at the t moment;
and checking the initial power instruction value of the active load at the moment t, and determining the power instruction value of the active load.
Preferably, the power deficit value Δ p (i) at the ith time is calculated as shown in equation (1):
ΔP(i)＝(Pwindyc(i)+Ppvyc(i)-Ploadyc(i))-(Pwind(i)+Ppv(i)-Pload(i)) (1)
pwinyc (t) is a predicted force value of the distributed wind power from 0-t moment; ppvc (t) is a predicted value of the distributed photovoltaic from 0-t moment; ploadyc (t) is the predicted force value of the passive load from time 0-t; pwind (i) is the distributed wind power actual output at the ith moment, Ppv (i) is the distributed photovoltaic actual output at the ith moment, and Ppoad (i) is the passive load actual load power at the ith moment.
Preferably, the expected power deficit Δ p (t) at time t is calculated as shown in equation (2):
Figure BDA0003550007950000021
preferably, the initial power command value ploadac (t) of the active load at time t is calculated as shown in formula (3):
Ploadac(t)＝Pwindyc(t)+Ppvyc(t)+Pstore(t)-Ploadyc(t)-ΔP(t) (3)。
preferably, the method for checking the power instruction value is as follows:
when the initial power command value Pladac (t) of the active load at the time t is greater than the current maximum allowable value Pladacmax (t), the initial power command value Pladac (t) is the current maximum allowable value Pladacmax (t);
when the initial power command value Ppoadac (t) of the active load at the time t is smaller than the current allowed maximum value Ppoadacmin (t), the initial power command value Ppoadac (t) is the current allowed minimum value Ppoadacmin (t).
Preferably, the current maximum value ploadacmax (t) and the current minimum value ploadacmin (t) are determined in real time according to the actual situation of the active load in the area.
The invention provides an active load control system based on power supply and load prediction deviation, which comprises:
the data acquisition module is used for setting a certain moment as 0 th moment, the operation moment of the 0 th moment is the t th moment, and t is more than 10; acquiring a forecasting force value of the distributed wind power from 0-t moment, a forecasting force value of the distributed photovoltaic from 0-t moment, a planning force value of the stored energy from 0-t moment, a forecasting force value of the passive load from 0-t moment, the distributed wind power actual output at the ith moment, the distributed photovoltaic actual output at the ith moment and the passive load actual load power at the ith moment; wherein i is 1 to (t-1);
the power shortage value acquisition module is used for acquiring a power shortage value from the ith moment to the t-1 moment according to a prediction output value of the distributed wind power from the 0-t moment, a prediction output value of the distributed photovoltaic from the 0-t moment, a prediction output value of the passive load from the 0-t moment, a distributed wind power actual output at the ith moment, a distributed photovoltaic actual output at the ith moment and a passive load actual load power at the ith moment;
the initial power instruction value acquisition module is used for acquiring expected power shortage at the t moment according to the power shortage value from the ith moment to the t-1 moment; acquiring an initial power instruction value of an active load at the t moment according to a predicted power output value of the distributed wind power from the 0-t moment, a predicted power output value of the distributed photovoltaic from the 0-t moment, a predicted power output value of the energy storage from the 0-t moment, a predicted power output value of the passive load from the 0-t moment and an expected power shortage at the t moment;
and the active load power instruction value acquisition module is used for checking the initial power instruction value of the active load at the moment t to acquire the active load power instruction value.
A computer device comprising a memory storing a computer program and a processor implementing the steps of an active load control method based on power supply and load forecast deviations when executing the computer program.
A computer-readable storage medium, storing a computer program which, when executed by a processor, implements the steps of an active load control method based on power supply and load forecast deviations.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides an active load control method based on power supply and load prediction deviation, which comprises the steps of firstly setting a certain moment as a 0 th moment, setting the operation moment of the 0 th moment as a tth moment, wherein t is more than 10 because if t is too small, data is too little, errors are large in the calculation process, and the calculation precision is low; secondly, obtaining predicted power values of all components of wind power, photovoltaic, energy storage and load within 0-t moment, and conveniently calculating a power shortage value from the ith moment to the t-1 th moment; and finally, determining an initial power instruction value of the active load at the t moment according to the power shortage value and the predicted force value from the ith moment to the t-1 th moment, and determining the power instruction value of the active load by checking the initial power instruction value of the active load at the t moment. The method and the device can effectively offset the active load power control of the prediction deviation by combining the power range check of the active load on the basis of considering the prediction deviation and the passive load prediction deviation of the distributed power supply, thereby effectively reducing the power imbalance degree during the operation of the source network load storage area. The active load control method provided by the invention mainly aims at calculating the active load control power of the source network load storage integrated area, and solves the problem of large calculation amount.
Further, the currently allowed maximum value Ploadacmax (t) and the currently allowed minimum value Ploadacmin (t) are determined in real time according to the actual condition of the active load in the area, and the problem that the real-time performance cannot be guaranteed for the power instruction value of the active load is solved.
According to the active load control system based on the power supply and the load prediction deviation, the system is divided 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, and all the modules are mutually independent by adopting a modularization idea, so that the modules are conveniently and uniformly managed.
Drawings
In order to more clearly explain the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of an active load control method based on power supply and load forecast deviations according to the present invention.
FIG. 2 is a detailed flowchart of the active load control method based on power supply and load prediction bias according to the present invention.
FIG. 3 is a diagram of an active load control system based on power supply and load forecast deviations in accordance with the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the embodiments of the present invention, it should be noted that if the terms "upper", "lower", "horizontal", "inner", etc. are used for indicating the orientation or positional relationship based on the orientation or positional relationship shown in the drawings or the orientation or positional relationship which is usually arranged when the product of the present invention is used, the description is merely for convenience and simplicity, and the indication or suggestion that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and thus, cannot be understood as limiting the present invention. Furthermore, the terms "first," "second," and the like are used merely to distinguish one description from another, and are not to be construed as indicating or implying relative importance.
Furthermore, the term "horizontal", if present, does not mean that the component is required to be absolutely horizontal, but may be slightly inclined. For example, "horizontal" merely means that the direction is more horizontal than "vertical" and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the embodiments of the present invention, it should be further noted that unless otherwise explicitly stated or limited, the terms "disposed," "mounted," "connected," and "connected" should be interpreted broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The invention is described in further detail below with reference to the accompanying drawings:
the invention provides an active load control method based on power supply and load prediction deviation, as shown in fig. 1, comprising the following steps:
setting a certain time as 0 th time, setting the operation time of the 0 th time as the tth time, wherein t is more than 10; acquiring a forecasting force output value of the distributed wind power from 0-t moment, a forecasting force output value of the distributed photovoltaic from 0-t moment, a planning force output value of the stored energy from 0-t moment and a forecasting force output value of the passive load from 0-t moment;
acquiring a power deficit value from the ith moment to the t-1 moment according to the forecasting output value of the distributed wind power from the 0-t moment, the forecasting output value of the distributed photovoltaic power from the 0-t moment, the forecasting output value of the passive load from the 0-t moment, the distributed wind power actual output at the ith moment, the distributed photovoltaic actual output at the ith moment and the passive load actual load power at the ith moment; wherein i is 1 to (t-1);
acquiring expected power shortage at the t moment according to the power shortage value from the ith moment to the t-1 th moment; acquiring an initial power instruction value of an active load at the t moment according to a predicted power output value of the distributed wind power from the 0-t moment, a predicted power output value of the distributed photovoltaic from the 0-t moment, a predicted power output value of the energy storage from the 0-t moment, a predicted power output value of the passive load from the 0-t moment and an expected power shortage at the t moment;
and checking the initial power instruction value of the active load at the moment t, and determining the power instruction value of the active load.
Referring to fig. 2, a flowchart of an active load control method based on power supply and load prediction deviations is shown, and the following describes an optimization method according to the present invention with reference to the flowchart.
1) Setting a certain time as 0 th time (generally, 0:00 of a natural day), setting the current operation time as the tth time, namely tth minute, and starting the operation calculation of time t (generally, t is greater than 10, and if t is less than or equal to 10, 0:00 of a previous natural day is set as the 0 th time).
The purpose of this step is to clarify the 0 th point in time. However, if t is too small, even 0, the predicted force value within 0-t is used subsequently, which results in too little data and inaccurate calculation. Therefore, when t is less than or equal to 10, 0:00 of the previous natural day is set as the 0 th time.
2) Reading Pwinyc (t), namely a predicted force value of the distributed wind power from 0-t moment; ppvyc (t), namely a predicted value of the distributed photovoltaic power from time 0-t; pstore (t), namely the planned output value (namely the actual output value) of the stored energy from the time point of 0-t; ployyc (t), the predicted force value of the passive load from time 0-t.
3) Let the cyclic variable i equal to 1, and calculate the power deficit value at the ith time, as shown in equation (1):
ΔP(i)＝(Pwindyc(i)+Ppvyc(i)-Ploadyc(i))-(Pwind(i)+Ppv(i)-Pload(i)) (1)
pwinyc (t) is a predicted force value of the distributed wind power from 0-t moment; ppvc (t) is a predicted value of the distributed photovoltaic from 0-t moment; ploadyc (t) is the predicted force value of the passive load from time 0-t; pwind (i) is the actual output of the distributed wind power at the ith moment; ppv (i) is the distributed photovoltaic actual output at the ith moment; pload (i) is the actual load power of the passive load at time i.
5) Whether i reaches the t-1 th time or not, if not, making i equal to i +1, and repeating the step 4); if so, the loop is exited and the expected power deficit at time t is calculated, as shown in equation (2):
Figure BDA0003550007950000071
6) calculating an initial power command value of the active load at the time t, as shown in formula (3):
Ploadac(t)＝Pwindyc(t)+Ppvyc(t)+Pstore(t)-Ploadyc(t)-ΔP(t) (3)
7) a check of the power command values is performed, i.e. between the current maximum allowed value ploadacmax (t) of ploadac (t) and the current minimum allowed value ploadacmin (t) of ploadac (t), the active load power command values are determined.
The method for checking the power instruction value comprises the following steps:
when the initial power command value Pladac (t) of the active load at the time t is greater than the current maximum allowable value Pladacmax (t), the initial power command value Pladac (t) is the current maximum allowable value Pladacmax (t);
when the initial power command value Ppoadac (t) of the active load at the time t is smaller than the current allowed maximum value Ppoadacmin (t), the initial power command value Ppoadac (t) is the current allowed minimum value Ppoadacmin (t).
The current maximum value Ploadacmax (t) and the current minimum value Ploadacmin (t) are determined in real time according to the actual conditions of the active load in the area, for example, if the current air temperature is low and the minimum power of the heating air conditioner is 1000kW, the corresponding Ploadacmin (t) is 1000 kW.
The active load control system based on the power supply and the load prediction deviation, as shown in fig. 3, includes:
the data acquisition module is used for setting a certain moment as 0 th moment, the operation moment of the 0 th moment is the t th moment, and t is more than 10; acquiring a forecasting force value of the distributed wind power from 0-t moment, a forecasting force value of the distributed photovoltaic from 0-t moment, a planning force value of the stored energy from 0-t moment, a forecasting force value of the passive load from 0-t moment, the distributed wind power actual output at the ith moment, the distributed photovoltaic actual output at the ith moment and the passive load actual load power at the ith moment; wherein i is 1 to (t-1);
the power shortage value acquisition module is used for acquiring a power shortage value from the ith moment to the t-1 moment according to a prediction output value of the distributed wind power from the 0-t moment, a prediction output value of the distributed photovoltaic from the 0-t moment, a prediction output value of the passive load from the 0-t moment, a distributed wind power actual output at the ith moment, a distributed photovoltaic actual output at the ith moment and a passive load actual load power at the ith moment;
the initial power instruction value acquisition module is used for acquiring expected power shortage at the t moment according to the power shortage value from the ith moment to the t-1 moment; acquiring an initial power instruction value of an active load at the t moment according to a predicted power output value of the distributed wind power from the 0-t moment, a predicted power output value of the distributed photovoltaic from the 0-t moment, a predicted power output value of the energy storage from the 0-t moment, a predicted power output value of the passive load from the 0-t moment and an expected power shortage at the t moment;
and the active load power instruction value acquisition module is used for checking the initial power instruction value of the active load at the moment t to acquire the active load power instruction value.
In an embodiment of the present invention, a terminal device includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. The processor realizes the steps of the above-mentioned method embodiments when executing the computer program. Alternatively, the processor implements the functions of the modules/units in the above device embodiments when executing the computer program.
The computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention.
The terminal device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The terminal device may include, but is not limited to, a processor, a memory.
The processor may be a Central Processing Unit (CPU), other general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, etc.
The memory may be used for storing the computer programs and/or modules, and the processor may implement various functions of the terminal device by executing or executing the computer programs and/or modules stored in the memory and calling data stored in the memory.
The terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer memory, Read-only memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, etc. It should be noted that the computer-readable medium may contain suitable additions or subtractions depending on the requirements of legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer-readable media may not include electrical carrier signals or telecommunication signals in accordance with legislation and patent practice.
The active load control method and system based on the power supply and the load prediction deviation, provided by the invention, have the following advantages: 1) calculating an active load control power value of a source network load storage integrated area; 2) the prediction deviation and the passive load prediction deviation of the historical distributed power supply are taken into consideration as calculation parameters, so that the active load power control for effectively offsetting the prediction deviation is effectively improved; 3) the power range of the active load is checked, so that the power control of the active load is closer to the actual scene; 4) the power unbalance degree of the source network charge storage area during operation is effectively reduced.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. An active load control method based on power supply and load prediction deviation is characterized by comprising the following steps:
setting a certain time as 0 th time, setting the operation time of the 0 th time as the tth time, wherein t is more than 10; acquiring a forecasting force value of the distributed wind power from 0-t moment, a forecasting force value of the distributed photovoltaic from 0-t moment, a planning force value of the stored energy from 0-t moment, a forecasting force value of the passive load from 0-t moment, the distributed wind power actual output at the ith moment, the distributed photovoltaic actual output at the ith moment and the passive load actual load power at the ith moment; wherein i is 1 to (t-1);
acquiring a power deficit value from the ith moment to the t-1 moment according to a forecasting output value of the distributed wind power from the 0-t moment, a forecasting output value of the distributed photovoltaic from the 0-t moment, a forecasting output value of the passive load from the 0-t moment, an actual distributed wind power output at the ith moment, an actual distributed photovoltaic output at the ith moment and the actual passive load power at the ith moment;
acquiring expected power shortage at the t moment according to the power shortage value from the ith moment to the t-1 moment; acquiring an initial power instruction value of an active load at the t moment according to a predicted power output value of the distributed wind power from the 0-t moment, a predicted power output value of the distributed photovoltaic from the 0-t moment, a predicted power output value of the energy storage from the 0-t moment, a predicted power output value of the passive load from the 0-t moment and an expected power shortage at the t moment;
and checking the initial power instruction value of the active load at the moment t, and determining the power instruction value of the active load.
2. The active load control method based on power supply and load prediction bias according to claim 1, wherein the power deficit Δ p (i) at the ith time is calculated as shown in formula (1):
ΔP(i)＝(Pwindyc(i)+Ppvyc(i)-Ploadyc(i))-(Pwind(i)+Ppv(i)-Pload(i)) (1)
pwinyc (t) is a predicted force value of the distributed wind power from 0-t moment; ppvyc (t) is a predicted force value of the distributed photovoltaic from 0-t moment; ploadyc (t) is the predicted force value of the passive load from time 0-t; pwind (i) is the distributed wind power actual output at the ith moment, Ppv (i) is the distributed photovoltaic actual output at the ith moment, and Ppoad (i) is the passive load actual load power at the ith moment.
3. The active load control method based on power supply and load forecast offset of claim 2, wherein the expected power deficit Δ p (t) at time t is calculated as shown in equation (2):
Figure FDA0003550007940000021
4. the active load control method based on power supply and load prediction deviation as claimed in claim 3, wherein the initial power command value ploadac (t) of the active load at time t is calculated as shown in formula (3):
Ploadac(t)＝Pwindyc(t)+Ppvyc(t)+Pstore(t)-Ploadyc(t)-ΔP(t) (3)。
5. the active load control method based on power supply and load prediction bias of claim 4, wherein the method of performing the check of the power command value is as follows:
when the initial power command value Pladac (t) of the active load at the time t is greater than the current maximum allowable value Pladacmax (t), the initial power command value Pladac (t) is the current maximum allowable value Pladacmax (t);
when the initial power command value Ppoadac (t) of the active load at the time t is smaller than the current allowed maximum value Ppoadacmin (t), the initial power command value Ppoadac (t) is the current allowed minimum value Ppoadacmin (t).
6. The active load control method based on power supply and load prediction bias as claimed in claim 5, characterized in that the current maximum value Ploadacmax (t) and the current minimum value Ploadacmin (t) are determined in real time according to the actual situation of the active load in the area.
7. An active load control system based on power supply and load forecast deviations, comprising:
the data acquisition module is used for setting a certain moment as 0 th moment, the operation moment of the 0 th moment is the t th moment, and t is more than 10; acquiring a forecasting force value of the distributed wind power from 0-t moment, a forecasting force value of the distributed photovoltaic from 0-t moment, a planning force value of the stored energy from 0-t moment, a forecasting force value of the passive load from 0-t moment, the distributed wind power actual output at the ith moment, the distributed photovoltaic actual output at the ith moment and the passive load actual load power at the ith moment; wherein i is 1 to (t-1);
the power shortage value acquisition module is used for acquiring a power shortage value from the ith moment to the t-1 moment according to a prediction output value of the distributed wind power from the 0-t moment, a prediction output value of the distributed photovoltaic from the 0-t moment, a prediction output value of the passive load from the 0-t moment, a distributed wind power actual output at the ith moment, a distributed photovoltaic actual output at the ith moment and a passive load actual load power at the ith moment;
the initial power instruction value acquisition module is used for acquiring expected power shortage at the t moment according to the power shortage value from the ith moment to the t-1 moment; acquiring an initial power instruction value of an active load at the t moment according to a predicted power output value of the distributed wind power from the 0-t moment, a predicted power output value of the distributed photovoltaic from the 0-t moment, a predicted power output value of the energy storage from the 0-t moment, a predicted power output value of the passive load from the 0-t moment and an expected power shortage at the t moment;
and the active load power instruction value acquisition module is used for checking the initial power instruction value of the active load at the moment t to acquire the active load power instruction value.
8. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program performs the steps of the method for active load control based on power supply and load prediction bias of any of claims 1 to 6.
9. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for active load control based on power supply and load prediction bias of any one of claims 1 to 6.
CN202210259070.3A 2022-03-16 2022-03-16 Active load control method and system based on power supply and load prediction deviation Pending CN114597906A (en)

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