CN112003304B - Power fluctuation suppression and frequency modulation control method based on hybrid energy storage system - Google Patents

Power fluctuation suppression and frequency modulation control method based on hybrid energy storage system Download PDF

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CN112003304B
CN112003304B CN202010908845.6A CN202010908845A CN112003304B CN 112003304 B CN112003304 B CN 112003304B CN 202010908845 A CN202010908845 A CN 202010908845A CN 112003304 B CN112003304 B CN 112003304B
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output power
time constant
power
energy storage
storage system
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CN112003304A (en
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王炜
纪项钟
于广亮
郑楠
王金峰
刘娟楠
刘宏伟
康健
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North China Electric Power University
Economic and Technological Research Institute of State Grid Shaanxi Electric Power Co Ltd
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North China Electric Power University
Economic and Technological Research Institute of State Grid Shaanxi Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24Arrangements for preventing or reducing oscillations of power in networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/34Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
    • H02J7/345Parallel operation in networks using both storage and other dc sources, e.g. providing buffering using capacitors as storage or buffering devices
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin

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Abstract

The application provides a power fluctuation suppression and frequency modulation control method based on a hybrid energy storage system, which comprises the following steps: calculating to obtain the fluctuation amount of the wind power according to the first output power of the wind power plant; calculating to obtain a filtering time constant according to the first output power, the fluctuation amount of the wind power, the system frequency offset of the power system, the frequency change rate, the real-time charge state of the hybrid energy storage system and the second output power; carrying out high-pass filtering processing on the first output power by using a filtering time constant to obtain third output power of the hybrid energy storage system; and performing low-pass filtering processing on the third output power by using a preset filtering time constant to obtain fourth output power of the battery and fifth output power of the super capacitor, so that the battery can simultaneously restrain wind power fluctuation and control wind power frequency modulation according to the fourth output power and the fifth output power of the super capacitor. According to the embodiment of the application, the wind power fluctuation can be restrained, and the wind power frequency modulation capability can be improved.

Description

Power fluctuation suppression and frequency modulation control method based on hybrid energy storage system
Technical Field
The application relates to the technical field of computers, in particular to a power fluctuation suppression and frequency modulation control method based on a hybrid energy storage system.
Background
In recent years, power generation by using renewable energy is more and more emphasized by various countries, especially wind power generation is greatly developed, and the combination of hybrid energy storage and a high-capacity wind power generation system is a necessary trend for the development of renewable energy.
When hybrid energy storage is carried out, how to restrain the fluctuation of wind power and control the wind power frequency modulation capability are important research contents in the wind power generation process. Generally, the main method for suppressing the wind power fluctuation is to connect energy storage equipment to a grid-connected point of a wind farm, and use the energy storage equipment to absorb or send out a part of power so as to reduce the fluctuation of grid-connected power. The main method for controlling the wind power frequency modulation capability is to utilize the wind turbine generator to control.
In the existing methods for stabilizing wind power fluctuation and improving wind power frequency modulation capability, wind power fluctuation and wind power frequency modulation capability are generally processed respectively, and requirements on wind power fluctuation and wind power frequency modulation capability in related standards cannot be met simultaneously.
Disclosure of Invention
In view of this, an object of the present application is to provide a power fluctuation suppression and frequency modulation control method based on a hybrid energy storage system, so as to achieve suppression of wind power fluctuation and improve wind power frequency modulation capability.
In a first aspect, an embodiment of the application provides a power fluctuation suppression and frequency modulation control method based on a hybrid energy storage system, which is applied to an energy processing system, wherein the energy processing system comprises a wind power processing unit, a filtering time constant calculation unit, a high-pass filtering processing unit and a low-pass filtering processing unit; the hybrid energy storage system comprises a battery and a super capacitor; the method comprises the following steps:
calculating to obtain the fluctuation amount of the wind power according to the collected first output power of the wind power plant;
calculating to obtain a filtering time constant according to the first output power, the wind power fluctuation amount, the system frequency offset of the power system, the frequency change rate of the power system, the real-time charge state of the hybrid energy storage system and the second output power of the hybrid energy storage system;
carrying out high-pass filtering processing on the first output power by using the filtering time constant to obtain third output power of the hybrid energy storage system;
and performing low-pass filtering processing on the third output power by using the filtering time constant to obtain fourth output power of the battery and fifth output power of the super capacitor, so that the battery can simultaneously restrain wind power fluctuation and control wind power frequency modulation according to the fourth output power and the fifth output power of the super capacitor.
With reference to the first aspect, an embodiment of the present application provides a first possible implementation manner of the first aspect, where before the step of calculating the wind power fluctuation amount according to the collected first output power of the wind farm, the method further includes:
the method comprises the steps of obtaining first output power of a wind power plant, system frequency offset of a power system, frequency change rate of the power system, real-time charge state of the hybrid energy storage system and second output power of the hybrid energy storage system.
With reference to the first aspect, an embodiment of the present application provides a second possible implementation manner of the first aspect, where the calculating, according to the collected first output power of the wind farm, to obtain a wind power fluctuation amount includes:
obtaining first output power P of wind power plant at time tWT(t), and a first output power P of the wind farm at time t-1WT(t-1);
Calculating first output power P of the wind power plant at the time tWT(t) first output power P of wind farm at the time t-1WT(t-1) to obtain the wind power fluctuation quantity delta PWT
With reference to the first aspect, an embodiment of the present application provides a third possible implementation manner of the first aspect, where the calculating a filtering time constant according to the first output power, the wind power fluctuation amount, the system frequency offset of the power system, the frequency change rate of the power system, the real-time charge state of the hybrid energy storage system, and the second output power of the hybrid energy storage system includes:
calculating a first sub-filtering time constant according to the first output power, the wind power fluctuation amount, the second output power of the hybrid energy storage system and a first preset time period;
calculating a second sub-filtering time constant according to the first output power, the wind power fluctuation amount, a second output power of the hybrid energy storage system and a second preset time period;
calculating a third sub-filtering time constant according to the system frequency offset of the power system;
calculating a fourth sub-filtering time constant according to the frequency change rate of the power system, the system frequency offset and the wind power fluctuation amount;
calculating a fifth sub-filtering time constant according to the real-time charge state of the hybrid energy storage system;
calculating a sixth sub-filtering time constant according to the second output power of the hybrid energy storage system;
and calculating the sum of the first sub-filtering time constant, the second sub-filtering time constant, the third sub-filtering time constant, the fourth sub-filtering time constant, the fifth sub-filtering time constant and the sixth sub-filtering time constant to obtain the filtering time constant.
In a second aspect, an embodiment of the present application further provides a power fluctuation suppression and frequency modulation control apparatus based on a hybrid energy storage system, including:
the first calculation module is used for calculating to obtain the fluctuation quantity of the wind power according to the collected first output power of the wind power plant;
the second calculation module is used for calculating a filtering time constant according to the first output power, the wind power fluctuation amount, the system frequency offset of the power system, the frequency change rate of the power system, the real-time charge state of the hybrid energy storage system and the second output power of the hybrid energy storage system;
the first processing module is used for performing high-pass filtering processing on the second output power by using the filtering time constant to obtain third output power of the hybrid energy storage system;
and the second processing module is used for carrying out high-pass filtering processing on the third output power by utilizing the filtering time constant to obtain fourth output power of a battery in the hybrid energy storage system and fifth output power of a super capacitor in the hybrid energy storage system, so that the battery can simultaneously restrain wind power fluctuation and control wind power frequency modulation according to the fourth output power and the super capacitor according to the fifth output power.
In a third aspect, an embodiment of the present application further provides an energy processing system, where the energy processing system is configured to execute the power fluctuation suppression and frequency modulation control method based on the hybrid energy storage system according to any one of the first aspect, and the energy processing system includes: the wind power processing unit, the filtering time constant calculating unit, the high-pass filtering processing unit and the low-pass filtering processing unit;
the wind power processing unit calculates to obtain a wind power fluctuation amount according to the collected first output power of the wind power plant, and sends the wind power fluctuation amount to the filtering time constant calculating unit;
the filtering time constant calculation unit calculates a filtering time constant according to the first output power of the wind power plant, the fluctuation amount of the wind power, the system frequency offset of the power system, the frequency change rate of the power system, the real-time charge state of the hybrid energy storage system and the second output power of the hybrid energy storage system, and sends the filtering time constant to the high-pass filtering processing unit;
the high-pass filtering processing unit is used for carrying out high-pass filtering processing on the first output power of the wind power plant according to the filtering time constant to obtain third output power of the hybrid energy storage system, and the third output power is sent to the low-pass filtering processing unit;
and the low-pass filtering processing unit performs low-pass filtering processing on the third output power according to the filtering time constant to obtain fourth output power of the battery and fifth output power of the super capacitor, so that the battery can simultaneously restrain wind power fluctuation and control wind power frequency modulation according to the fourth output power and the fifth output power of the super capacitor.
In a fourth aspect, an embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is running, the machine-readable instructions when executed by the processor performing the steps of the first aspect described above, or any possible implementation of the first aspect.
In a fourth aspect, this application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps in the first aspect or any one of the possible implementation manners of the first aspect.
The embodiment of the application provides a power fluctuation suppression and frequency modulation control method based on a hybrid energy storage system, the hybrid energy storage system comprises a battery and a super capacitor, the method is applied to an energy processing system, and the method comprises the following steps: calculating to obtain the fluctuation amount of the wind power according to the collected first output power of the wind power plant; calculating to obtain a filtering time constant according to the first output power, the fluctuation amount of the wind power, the system frequency offset of the power system, the frequency change rate of the power system, the real-time charge state of the hybrid energy storage system and the second output power of the hybrid energy storage system; carrying out high-pass filtering processing on the first output power by using a filtering time constant to obtain third output power of the hybrid energy storage system; and carrying out low-pass filtering processing on the third output power by using a preset filtering time constant to obtain fourth output power of the battery and fifth output power of the super capacitor, so that the battery can simultaneously restrain wind power fluctuation and control wind power frequency modulation according to the fourth output power and the fifth output power of the super capacitor. According to the embodiment of the application, the filtering time constant is obtained through calculation of the collected various parameters, the output power of each part of the hybrid energy storage system is calculated through the filtering time constant, the suppression of wind power fluctuation is achieved, and the control of wind power frequency modulation is achieved.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required 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 application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a flowchart illustrating a power fluctuation suppression and frequency modulation control method based on a hybrid energy storage system according to an embodiment of the present application;
FIG. 2 illustrates a schematic structural diagram of an energy processing system provided by an embodiment of the present application;
fig. 3 is a schematic structural diagram illustrating a power fluctuation suppression and frequency modulation control apparatus based on a hybrid energy storage system according to an embodiment of the present application;
fig. 4 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides a power fluctuation suppression and frequency modulation control method and device based on a hybrid energy storage system, and is described through an embodiment.
For the convenience of understanding of the present embodiment, a power fluctuation suppression and frequency modulation control method based on a hybrid energy storage system disclosed in the embodiments of the present application will be described in detail first.
In the embodiment of the present application, the hybrid energy storage system includes a battery and a super capacitor, where the battery may be a storage battery, and the output power of the hybrid energy storage system is the sum of the output power of the storage battery and the output power of the super capacitor.
In the flow chart of the power fluctuation suppression and frequency modulation control method based on the hybrid energy storage system shown in fig. 1, the method includes the following steps:
s101: and calculating to obtain the wind power fluctuation quantity according to the collected first output power of the wind power plant.
When the fluctuation amount of the wind power is calculated, the output power P of the wind power plant at the moment t can be obtainedWT(t) and the output power P of the wind farm at time t-1WT(t-1), wherein the time t-1 refers to the first 1s of the time t, and the wind power fluctuation quantity refers to the output power P of the wind power plant at the time tWT(t) and t-1 moment output power P of wind power plantWTThe difference of (t-1), i.e. Δ PWT=PWT(t)-PWT(t-1)。
Before step S101 is executed, first output power of the wind farm, system frequency offset of the power system, frequency change rate of the power system, real-time State of Charge (SOC) of the hybrid energy storage system, and second output power of the hybrid energy storage system may also be obtained.
S102: and calculating to obtain a filtering time constant according to the first output power, the fluctuation amount of the wind power, the system frequency offset of the power system, the frequency change rate of the power system, the real-time charge state of the hybrid energy storage system and the second output power of the hybrid energy storage system.
In calculating the filtering time constant, the following procedure may be performed:
(1) calculating a first sub-filtering time constant tau according to the first output power, the second output power of the hybrid energy storage system and a first preset time periodA
Here, the first preset time period may be set to 30 minutes.
Specifically, the calculation can be made by the following formula:
Figure GDA0003479638300000081
wherein A is tauAThe coefficient of calculation of (a) is,
Figure GDA0003479638300000082
τ0for initial value of filter time constant, τminTo determine based on historical data and energy storage configurationA minimum value of the fixed filter time constant; p30min_limRepresenting a maximum limit of power change within 30 minutes of the wind farm required by the power system; α represents a coefficient established for reserving a safety margin, and a value of α may be selected according to requirements or experience and may be set to 80% to 90%.
PGfIs the sum of the first output power of the wind farm and the second output power of the hybrid energy storage system, i.e. PGf=PWT+Phess,PWTA first output power for the wind farm; phessA second output power of the hybrid energy storage system; pGf(t) represents PGfThe value at time t.
ΔPGf-30minRefers to PGfThe difference between the maximum and minimum values over 30 minutes; pmax_30minRepresents PGfMaximum value in 30 minutes, Pmin_30minRepresents PGfMinimum value within 30 minutes.
Therefore, when P is expressed by the above formulaGfThe difference between the maximum and minimum values in 30 minutes is greater than the product of alpha and the maximum limit of power change in the wind farm in 30 minutes and PGfMaximum value P in 30 minutesGfValue at time t, or PGfThe difference between the maximum and minimum values in 30 minutes is greater than the product of alpha and the maximum limit of power change in the wind farm in 30 minutes and PGfMinimum value of P in 30 minutesGfAt the value at time t, then the first sub-filter time constant τAIs A and Δ PGf-30minThe product of (a).
While in other cases, the first sub-filter time constant τAIs 0.
(2) Calculating a second sub-filtering time constant tau according to the first output power, the second output power of the hybrid energy storage system and a second preset time periodB
Here, the second preset time period may be set to 1 minute, and the second preset time period is less than the first preset time period.
Specifically, the calculation can be made by the following formula:
Figure GDA0003479638300000091
wherein B is τBThe coefficient of calculation of (a) is,
Figure GDA0003479638300000092
τ0for initial value of filter time constant, τminIs the minimum value of the filter time constant determined according to the historical data and the energy storage configuration; p1min_limThe maximum limit value of the power change of the wind power plant within 1 minute required by the power system is represented, beta represents a coefficient established for reserving a safety margin, and the value of beta can be selected according to requirements or experience and can be generally set to be 80% -90%.
PGfIs the sum of the first output power of the wind farm and the second output power of the hybrid energy storage system, i.e. PGf=PWT+Phess,PWTA first output power for the wind farm; phessA second output power of the hybrid energy storage system; pGf(t) represents PGfThe value at time t.
ΔPGf-1minRefers to PGfThe difference between the maximum and minimum values over 1 minute; pmax_1minRepresents PGfMaximum value in 1 minute, Pmax_1minRepresents PGfMinimum value within 1 minute.
Therefore, when P is expressed by the above formulaGfThe difference between the maximum value and the minimum value in 1 minute is larger than the product of beta and the maximum limit value of the power change in 1 minute of the wind farm and PGfMaximum value of P in 1 minuteGfValue at time t, or PGfThe difference between the maximum value and the minimum value in 1 minute is larger than the product of beta and the maximum limit value of the power change in 1 minute of the wind farm and PGfMinimum value of P in 1 minuteGfAt the value at time t, then the second sub-filter time constant τBIs A and Δ PGf-1minThe product of (a).
While in other cases, the second sub-filter time constant τBIs 0.
(3) Calculating a third sub-filtering time constant tau according to the system frequency offset and the wind power fluctuation amount of the power systemC
Specifically, the calculation can be made by the following formula:
Figure GDA0003479638300000101
wherein C is τCThe calculation coefficient can be selected according to historical data or experience or by using a formula
Figure GDA0003479638300000102
Calculation of where Δ fmaxThe system frequency offset when the maximum adjusting capacity is achieved is represented and can be selected according to the requirements and experience of the power system; tau is0For initial value of filter time constant, τminIs the minimum value of the filter time constant determined from the historical data and the energy storage configuration.
Δ f represents a system frequency offset of the power system; delta PWTThe wind power fluctuation amount calculated through the step S101.
According to the formula, when the product of the system frequency offset of the power system and the fluctuation amount of the wind power is greater than zero, the third filtering time constant is a positive value of the product of C and the absolute value of the system frequency offset of the power system; and when the product of the system frequency offset of the power system and the fluctuation amount of the wind power is less than zero, the third filtering time constant is a negative value of the product of C and the absolute value of the system frequency offset of the power system.
(4) And calculating a fourth sub-filtering time constant tau according to the frequency change rate of the power system, the system frequency offset and the wind power fluctuation amountD
Specifically, the calculation can be made by the following formula:
Figure GDA0003479638300000111
wherein D is τDThe calculation coefficient can be selected according to historical data or experience or by using a formula
Figure GDA0003479638300000112
Is calculated to obtain wherein
Figure GDA0003479638300000113
The system frequency change rate when the maximum regulating capacity is reached is represented and can be selected according to the requirements and experience of the power system; tau is0For initial value of filter time constant, τminIs the minimum value of the filter time constant determined from the historical data and the energy storage configuration.
Figure GDA0003479638300000114
Representing a rate of change of a system frequency of the power system; Δ f represents a system frequency offset of the power system; delta PWTThe wind power fluctuation amount calculated through the step S101.
According to the formula, when the product of the system frequency offset of the power system and the fluctuation amount of the wind power is larger than zero, the fourth filtering time constant is a positive value of the product of D and the absolute value of the system frequency change rate of the power system; and when the product of the system frequency offset of the power system and the wind power fluctuation amount is less than zero, the third filtering time constant is a negative value of the product of D and the absolute value of the system frequency change rate of the power system.
(5) Calculating a fifth sub-filtering time constant tau according to the real-time charge state of the hybrid energy storage systemE
Specifically, the calculation can be made by the following formula:
Figure GDA0003479638300000115
wherein E is τEThe calculation coefficient can be selected according to historical data or experience or by using a formula
Figure GDA0003479638300000121
Is calculated to obtain, wherein socmaxAnd socminRespectively representing the upper and lower limits of the state of charge of the hybrid energy storage system; tau is0For initial value of filter time constant, τminIs the minimum value of the filter time constant determined according to the historical data and the energy storage configuration; phessIs the second output power of the hybrid energy storage system.
According to the formula, when the second output power of the hybrid energy storage system is greater than zero, namely the hybrid energy storage system is discharged, the fifth sub-filter time constant is a positive value of a product of E and (soc-0.5); when the second output power of the hybrid energy storage system is less than zero, namely the hybrid energy storage system is charged, the fifth sub-filtering time constant is a negative value of the product of E and (soc-0.5).
(6) Calculating a sixth sub-filtering time constant tau according to the second output power of the hybrid energy storage systemF
Specifically, the calculation can be made by the following formula:
τF=F|Phess|;
wherein F is tauFThe calculation coefficient can be selected according to historical data or experience or by using a formula
Figure GDA0003479638300000122
Is calculated to obtain, wherein Phess_maxRepresenting an upper limit of the output power of the hybrid energy storage system; tau is0For initial value of filter time constant, τminIs the minimum value of the filter time constant determined from the historical data and the energy storage configuration.
According to the formula, the sixth sub-filtering time constant is the product of F and the absolute value of the output power of the hybrid energy storage system.
And finally, calculating to obtain a filtering time constant according to the first sub-filtering time constant, the second sub-filtering time constant, the third sub-filtering time constant, the fourth sub-filtering time constant, the fifth sub-filtering time constant and the sixth sub-filtering time constant obtained in the steps (1) to (6).
In particular, it can be based on τ1=τ0ABCDEFCalculating to obtain a filter time constant, wherein1For the filter time constant, τ0Is the initial value of the filter time constant.
S103: and carrying out high-pass filtering processing on the first output power by using the filtering time constant to obtain third output power of the hybrid energy storage system.
The third output power of the hybrid energy storage system refers to the sum of the output power of the storage battery and the output power of the super capacitor.
S104: and performing low-pass filtering processing on the third output power by using a preset filtering time constant to obtain fourth output power of the battery and fifth output power of the super capacitor, so that the battery can simultaneously restrain wind power fluctuation and control wind power frequency modulation according to the fourth output power and the fifth output power of the super capacitor.
The preset filtering time constant can be determined according to specific configuration and historical data of the storage battery energy storage and the super capacitor energy storage. The preset filtering time constant may be a value different from the filtering time constant obtained in step S102.
The battery absorbs or generates power according to the fourth output power, the super capacitor absorbs or generates power according to the fifth output power, the battery and the super capacitor act simultaneously to achieve simultaneous suppression of wind power fluctuation, and the battery can control a low-frequency part in the third output power to achieve control of wind power frequency modulation; the super capacitor can control a high-frequency part in the third output power, so that wind power frequency modulation is controlled.
The embodiment of the application also provides an energy processing system, and the energy processing system is used for executing the power fluctuation suppression and frequency modulation control method based on the hybrid energy storage system.
In the schematic structural diagram of the energy processing system shown in fig. 2, the energy processing system includes: a wind power processing unit 201, a filtering time constant calculation unit 202, a high-pass filtering processing unit 203 and a low-pass filtering processing unit 204;
the wind power processing unit 201 calculates to obtain a wind power fluctuation amount according to the collected first output power of the wind power plant, and sends the wind power fluctuation amount to the filtering time constant calculation unit 202;
the filtering time constant calculation unit 202 calculates a filtering time constant according to the first output power of the wind power plant, the fluctuation amount of the wind power, the system frequency offset of the power system, the frequency change rate of the power system, the real-time charge state of the hybrid energy storage system and the second output power of the hybrid energy storage system, and sends the filtering time constant to the high-pass filtering processing unit 203;
the high-pass filtering processing unit 203 performs high-pass filtering processing on the first output power of the wind power plant according to the filtering time constant to obtain a third output power of the hybrid energy storage system, and sends the third output power to the low-pass filtering processing unit 204;
the low-pass filtering processing unit 204 performs low-pass filtering processing on the third output power according to a preset filtering time constant to obtain fourth output power of the battery and fifth output power of the super capacitor, so that the battery can simultaneously suppress wind power fluctuation and control wind power frequency modulation according to the fourth output power and the fifth output power of the super capacitor.
Based on the same technical concept, embodiments of the present application further provide a power fluctuation suppression and frequency modulation control apparatus, an electronic device, and a computer-readable storage medium based on a hybrid energy storage system, and refer to the following embodiments specifically.
Fig. 3 is a block diagram illustrating a hybrid energy storage system-based power fluctuation suppression and frequency modulation control apparatus according to some embodiments of the present application, where the functions implemented by the hybrid energy storage system-based power fluctuation suppression and frequency modulation control apparatus correspond to the above-described steps of executing the hybrid energy storage system-based power fluctuation suppression and frequency modulation control method on a terminal device. The apparatus may be understood as a component of a server including a processor, and the component is capable of implementing the power fluctuation suppression and frequency modulation control method based on the hybrid energy storage system, as shown in fig. 3, and the power fluctuation suppression and frequency modulation control apparatus based on the hybrid energy storage system may include:
the first calculating module 301 is configured to calculate a wind power fluctuation amount according to the collected first output power of the wind farm;
the second calculating module 302 is configured to calculate a filtering time constant according to the first output power, the wind power fluctuation amount, the system frequency offset of the power system, the frequency change rate of the power system, the real-time charge state of the hybrid energy storage system, and the second output power of the hybrid energy storage system;
the first processing module 303 is configured to perform high-pass filtering processing on the second output power by using the filtering time constant to obtain a third output power of the hybrid energy storage system;
the second processing module 304 is configured to perform high-pass filtering processing on the third output power by using a preset filtering time constant to obtain a fourth output power of a battery in the hybrid energy storage system and a fifth output power of a super capacitor in the hybrid energy storage system, so that the battery simultaneously suppresses wind power fluctuation and controls wind power frequency modulation according to the fourth output power and the fifth output power of the super capacitor.
In the specific implementation process, the method further comprises the following steps:
the system comprises a first obtaining module, a second obtaining module and a control module, wherein the first obtaining module is used for obtaining first output power of a wind power plant, system frequency offset of a power system, frequency change rate of the power system, real-time charge state of the hybrid energy storage system and second output power of the hybrid energy storage system.
In a specific implementation process, the first calculating module 301 includes:
a second obtaining module, configured to obtain first output power P of the wind farm at time tWT(t), and a first output power P of the wind farm at time t-1WT(t-1);
A third calculation module for calculating the first output power P of the wind farm at the time tWT(t) first output power P of wind farm at the time t-1WT(t-1) to obtain the wind power fluctuation quantity delta PWT
As shown in fig. 4, which is a schematic structural diagram of an electronic device 400 provided in an embodiment of the present application, the electronic device 400 includes: at least one processor 401, at least one network interface 404 and at least one user interface 403, memory 405, at least one communication bus 402. A communication bus 402 is used to enable connective communication between these components. The user interface 403 includes a display (e.g., a touch screen), a keyboard, or a pointing device (e.g., a touch pad or touch screen, etc.).
Memory 405 may include both read-only memory and random-access memory and provides instructions and data to processor 401. A portion of the memory 405 may also include non-volatile random access memory (NVRAM).
In some embodiments, memory 405 stores the following elements, executable modules or data structures, or a subset thereof, or an expanded set thereof:
an operating system 4051, which contains various system programs, for implementing various basic services and processing hardware-based tasks;
the application 4052 includes various applications for implementing various application services.
In an embodiment of the present application, processor 401, by invoking programs or instructions stored by memory 405, is configured to:
calculating to obtain the fluctuation amount of the wind power according to the collected first output power of the wind power plant;
calculating to obtain a filtering time constant according to the first output power, the wind power fluctuation amount, the system frequency offset of the power system, the frequency change rate of the power system, the real-time charge state of the hybrid energy storage system and the second output power of the hybrid energy storage system;
carrying out high-pass filtering processing on the first output power by using the filtering time constant to obtain third output power of the hybrid energy storage system;
and carrying out low-pass filtering processing on the third output power by using a preset filtering time constant to obtain fourth output power of the battery and fifth output power of the super capacitor, so that the battery simultaneously restrains wind power fluctuation and controls wind power frequency modulation according to the fourth output power and the fifth output power of the super capacitor.
In one possible implementation, the processor 401 is further configured to:
the method comprises the steps of obtaining first output power of a wind power plant, system frequency offset of a power system, frequency change rate of the power system, real-time charge state of the hybrid energy storage system and second output power of the hybrid energy storage system.
In one possible implementation, the processor 401 is further configured to:
obtaining first output power P of wind power plant at time tWT(t), and a first output power P of the wind farm at time t-1WT(t-1);
Calculating first output power P of the wind power plant at the time tWT(t) first output power P of wind farm at the time t-1WT(t-1) to obtain the wind power fluctuation quantity delta PWT
In one possible implementation, the processor 401 is further configured to:
calculating a first sub-filtering time constant according to the first output power, the second output power of the hybrid energy storage system and a first preset time period;
calculating a second sub-filtering time constant according to the first output power, a second output power of the hybrid energy storage system and a second preset time period;
calculating a third sub-filtering time constant according to the system frequency offset of the power system and the wind power fluctuation amount;
calculating a fourth sub-filtering time constant according to the frequency change rate of the power system;
calculating a fifth sub-filtering time constant according to the real-time charge state of the hybrid energy storage system;
calculating a sixth sub-filtering time constant according to the second output power of the hybrid energy storage system;
and calculating to obtain a filtering time constant according to the first sub-filtering time constant, the second sub-filtering time constant, the third sub-filtering time constant, the fourth sub-filtering time constant, the fifth sub-filtering time constant and the sixth sub-filtering time constant.
The computer program product for performing the power fluctuation suppression and frequency modulation control method based on the hybrid energy storage system provided in the embodiment of the present application includes a computer-readable storage medium storing a non-volatile program code executable by a processor, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment, and is not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (9)

1. A power fluctuation suppression and frequency modulation control method based on a hybrid energy storage system, wherein the hybrid energy storage system comprises a battery and a super capacitor, and the method is applied to an energy processing system and comprises the following steps:
calculating to obtain the fluctuation amount of the wind power according to the collected first output power of the wind power plant;
calculating to obtain a filtering time constant according to the first output power, the wind power fluctuation amount, the system frequency offset of the power system, the frequency change rate of the power system, the real-time charge state of the hybrid energy storage system and the second output power of the hybrid energy storage system;
carrying out high-pass filtering processing on the first output power by using the filtering time constant to obtain third output power of the hybrid energy storage system;
performing low-pass filtering processing on the third output power by using a preset filtering time constant to obtain fourth output power of the battery and fifth output power of the super capacitor, so that the battery simultaneously inhibits wind power fluctuation and controls wind power frequency modulation according to the fourth output power and the fifth output power of the super capacitor;
calculating to obtain a filtering time constant according to the first output power, the wind power fluctuation amount, the system frequency offset of the power system, the frequency change rate of the power system, the real-time charge state of the hybrid energy storage system and the second output power of the hybrid energy storage system, and including:
calculating a first sub-filtering time constant according to the first output power, the second output power of the hybrid energy storage system and a first preset time period;
calculating a second sub-filtering time constant according to the first output power, a second output power of the hybrid energy storage system and a second preset time period;
calculating a third sub-filtering time constant according to the system frequency offset of the power system and the wind power fluctuation amount;
calculating a fourth sub-filtering time constant according to the frequency change rate of the power system, the system frequency offset and the wind power fluctuation amount;
calculating a fifth sub-filtering time constant according to the real-time charge state of the hybrid energy storage system;
calculating a sixth sub-filtering time constant according to the second output power of the hybrid energy storage system;
and calculating to obtain a filtering time constant according to the first sub-filtering time constant, the second sub-filtering time constant, the third sub-filtering time constant, the fourth sub-filtering time constant, the fifth sub-filtering time constant and the sixth sub-filtering time constant.
2. The power fluctuation suppression and frequency modulation control method based on the hybrid energy storage system according to claim 1, before calculating the wind power fluctuation amount according to the collected first output power of the wind farm, further comprising:
the method comprises the steps of obtaining first output power of a wind power plant, system frequency offset of a power system, frequency change rate of the power system, real-time charge state of the hybrid energy storage system and second output power of the hybrid energy storage system.
3. The power fluctuation suppression and frequency modulation control method based on the hybrid energy storage system according to claim 1, wherein the step of calculating the wind power fluctuation amount according to the collected first output power of the wind farm comprises:
obtaining first output power P of wind power plant at time tWT(t), and a first output power P of the wind farm at time t-1WT(t-1);
Calculating first output power P of the wind power plant at the time tWT(t) first output power P of wind farm at the time t-1WT(t-1) to obtain the wind power fluctuation quantity delta PWT
4. A power fluctuation suppression and frequency modulation control device based on a hybrid energy storage system is characterized by comprising:
the first calculation module is used for calculating to obtain the fluctuation quantity of the wind power according to the collected first output power of the wind power plant;
the second calculation module is used for calculating a filtering time constant according to the first output power, the wind power fluctuation amount, the system frequency offset of the power system, the frequency change rate of the power system, the real-time charge state of the hybrid energy storage system and the second output power of the hybrid energy storage system;
the first processing module is used for performing high-pass filtering processing on the second output power by using the filtering time constant to obtain third output power of the hybrid energy storage system;
the second processing module is used for performing high-pass filtering processing on the third output power by using a preset filtering time constant to obtain fourth output power of a battery in the hybrid energy storage system and fifth output power of a super capacitor in the hybrid energy storage system, so that the battery simultaneously inhibits wind power fluctuation and controls wind power frequency modulation according to the fourth output power and the super capacitor according to the fifth output power;
the second calculation module is specifically configured to:
calculating a first sub-filtering time constant according to the first output power, the second output power of the hybrid energy storage system and a first preset time period;
calculating a second sub-filtering time constant according to the first output power, a second output power of the hybrid energy storage system and a second preset time period;
calculating a third sub-filtering time constant according to the system frequency offset of the power system and the wind power fluctuation amount;
calculating a fourth sub-filtering time constant according to the frequency change rate of the power system, the system frequency offset and the wind power fluctuation amount;
calculating a fifth sub-filtering time constant according to the real-time charge state of the hybrid energy storage system;
calculating a sixth sub-filtering time constant according to the second output power of the hybrid energy storage system;
and calculating to obtain a filtering time constant according to the first sub-filtering time constant, the second sub-filtering time constant, the third sub-filtering time constant, the fourth sub-filtering time constant, the fifth sub-filtering time constant and the sixth sub-filtering time constant.
5. The hybrid energy storage system based power fluctuation suppression and frequency modulation control apparatus of claim 4, further comprising:
the system comprises a first obtaining module, a second obtaining module and a control module, wherein the first obtaining module is used for obtaining first output power of a wind power plant, system frequency offset of a power system, frequency change rate of the power system, real-time charge state of the hybrid energy storage system and second output power of the hybrid energy storage system.
6. The hybrid energy storage system based power fluctuation suppression and frequency modulation control apparatus of claim 4, wherein the first calculation module comprises:
a second obtaining module, configured to obtain first output power P of the wind farm at time tWT(t), and a first output power P of the wind farm at time t-1WT(t-1);
A third calculation module for calculating the first output power P of the wind farm at the time tWT(t) first output power P of wind farm at the time t-1WT(t-1) to obtain the wind power fluctuation quantity delta PWT
7. An energy processing system for performing the hybrid energy storage system based power fluctuation suppression and frequency modulation control method according to any one of claims 1 to 3, the energy processing system comprising: the wind power processing unit, the filtering time constant calculating unit, the high-pass filtering processing unit and the low-pass filtering processing unit;
the wind power processing unit calculates to obtain a wind power fluctuation amount according to the collected first output power of the wind power plant, and sends the wind power fluctuation amount to the filtering time constant calculating unit;
the filtering time constant calculation unit calculates a filtering time constant according to the first output power of the wind power plant, the fluctuation amount of the wind power, the system frequency offset of the power system, the frequency change rate of the power system, the real-time charge state of the hybrid energy storage system and the second output power of the hybrid energy storage system, and sends the filtering time constant to the high-pass filtering processing unit;
the high-pass filtering processing unit is used for carrying out high-pass filtering processing on the first output power of the wind power plant according to the filtering time constant to obtain third output power of the hybrid energy storage system, and the third output power is sent to the low-pass filtering processing unit;
the low-pass filtering processing unit performs low-pass filtering processing on the third output power according to a preset filtering time constant to obtain fourth output power of the battery and fifth output power of the super capacitor, so that the battery can simultaneously restrain wind power fluctuation and control wind power frequency modulation according to the fourth output power and the fifth output power of the super capacitor;
the filtering time constant calculation unit calculates a filtering time constant according to the first output power of the wind power plant, the fluctuation amount of the wind power, the system frequency offset of the power system, the frequency change rate of the power system, the real-time charge state of the hybrid energy storage system and the second output power of the hybrid energy storage system, and includes:
the filtering time constant calculating unit calculates a first sub-filtering time constant according to the first output power, the second output power of the hybrid energy storage system and a first preset time period;
the filtering time constant calculating unit calculates a second sub-filtering time constant according to the first output power, a second output power of the hybrid energy storage system and a second preset time period;
the filtering time constant calculating unit calculates a third sub-filtering time constant according to the system frequency offset of the power system and the wind power fluctuation amount;
the filtering time constant calculating unit calculates a fourth sub-filtering time constant according to the frequency change rate of the power system, the system frequency offset and the wind power fluctuation amount;
the filtering time constant calculating unit calculates a fifth sub-filtering time constant according to the real-time charge state of the hybrid energy storage system;
the filtering time constant calculating unit calculates a sixth sub-filtering time constant according to the second output power of the hybrid energy storage system;
and the filtering time constant calculation unit calculates and obtains a filtering time constant according to the first sub-filtering time constant, the second sub-filtering time constant, the third sub-filtering time constant, the fourth sub-filtering time constant, the fifth sub-filtering time constant and the sixth sub-filtering time constant.
8. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory communicating via the bus when an electronic device is running, the machine readable instructions when executed by the processor performing the steps of the hybrid energy storage system based power fluctuation suppression and frequency modulation control method according to any one of claims 1 to 3.
9. A computer-readable storage medium, having stored thereon a computer program for executing the steps of the method for hybrid energy storage system based power fluctuation suppression and frequency modulation control according to any one of claims 1 to 3 when being executed by a processor.
CN202010908845.6A 2020-09-02 2020-09-02 Power fluctuation suppression and frequency modulation control method based on hybrid energy storage system Expired - Fee Related CN112003304B (en)

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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102368625A (en) * 2011-10-10 2012-03-07 南方电网科学研究院有限责任公司 Control method of battery energy storage system for restraining output power fluctuation of renewable energy source
CN102946113A (en) * 2012-07-26 2013-02-27 南方电网科学研究院有限责任公司 Super capacitor terminal voltage control method based on battery and super capacitor
CN103178538A (en) * 2013-04-11 2013-06-26 华北电力大学 Wind power fluctuation suppression method of hybrid energy storage wind power generation system
CN103633657A (en) * 2013-11-20 2014-03-12 国家电网公司 Method and device for wind power fluctuation restraining and power grid load peak shaving of wind storage power station
CN103701144A (en) * 2013-12-11 2014-04-02 清华大学 Power distribution method for hybrid energy storage system
CN104158202A (en) * 2014-08-08 2014-11-19 东南大学 Hybrid energy storage leveling wind power fluctuation system and coordination control method thereof
CN105024391A (en) * 2015-07-21 2015-11-04 清华大学 Micro power grid hybrid energy storage coordinative frequency modulation method
CN106340892A (en) * 2016-10-12 2017-01-18 上海电机学院 Control device of energy storage system used for inhibiting wind power output power
WO2020163749A1 (en) * 2019-02-08 2020-08-13 8Me Nova, Llc Coordinated control of renewable electric generation resource and charge storage device
WO2020170550A1 (en) * 2019-02-21 2020-08-27 株式会社日立インダストリアルプロダクツ Power conversion system

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102368625A (en) * 2011-10-10 2012-03-07 南方电网科学研究院有限责任公司 Control method of battery energy storage system for restraining output power fluctuation of renewable energy source
CN102946113A (en) * 2012-07-26 2013-02-27 南方电网科学研究院有限责任公司 Super capacitor terminal voltage control method based on battery and super capacitor
CN103178538A (en) * 2013-04-11 2013-06-26 华北电力大学 Wind power fluctuation suppression method of hybrid energy storage wind power generation system
CN103633657A (en) * 2013-11-20 2014-03-12 国家电网公司 Method and device for wind power fluctuation restraining and power grid load peak shaving of wind storage power station
CN103701144A (en) * 2013-12-11 2014-04-02 清华大学 Power distribution method for hybrid energy storage system
CN104158202A (en) * 2014-08-08 2014-11-19 东南大学 Hybrid energy storage leveling wind power fluctuation system and coordination control method thereof
CN105024391A (en) * 2015-07-21 2015-11-04 清华大学 Micro power grid hybrid energy storage coordinative frequency modulation method
CN106340892A (en) * 2016-10-12 2017-01-18 上海电机学院 Control device of energy storage system used for inhibiting wind power output power
WO2020163749A1 (en) * 2019-02-08 2020-08-13 8Me Nova, Llc Coordinated control of renewable electric generation resource and charge storage device
WO2020170550A1 (en) * 2019-02-21 2020-08-27 株式会社日立インダストリアルプロダクツ Power conversion system

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
A control strategy for hybrid energy storage system based on state of charge and variable filter coefficient;Siqing Sheng et al;《International Conference on Renewable Power Generation (RPG 2015)》;20160407;全文 *
Optimal Sizing and Control Strategies for Hybrid Storage System as Limited by Grid Frequency Deviations;Jun Cao et al;《 IEEE Transactions on Power Systems》;20180212;全文 *
储能系统的荷电状态管理策略及其影响评价;李凯等;《电力系统自动化》;20150425;全文 *
平抑风电功率波动的混合储能控制策略研究;朱星旭;《中国优秀硕士学位论文全文数据库工程科技II辑》;20140615;全文 *

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