CN116526508A - Flywheel-battery hybrid energy storage participation frequency modulation cooperative control method, system and medium - Google Patents

Flywheel-battery hybrid energy storage participation frequency modulation cooperative control method, system and medium Download PDF

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Publication number
CN116526508A
CN116526508A CN202310501198.0A CN202310501198A CN116526508A CN 116526508 A CN116526508 A CN 116526508A CN 202310501198 A CN202310501198 A CN 202310501198A CN 116526508 A CN116526508 A CN 116526508A
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energy storage
frequency
hybrid energy
stage
output
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姚良忠
曹冬志
廖思阳
徐箭
柯德平
毛蓓琳
伍昕
谢波
于鸿雁
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Cnooc New Energy Erenhot Wind Power Co ltd
Wuhan University WHU
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Cnooc New Energy Erenhot Wind Power Co ltd
Wuhan University WHU
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Publication of CN116526508A publication Critical patent/CN116526508A/en
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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
    • H02J3/241The oscillation concerning frequency
    • 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
    • H02J3/30Arrangements for balancing of the load in a network by storage of energy using dynamo-electric machines coupled to flywheels
    • 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
    • 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
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/16Mechanical energy storage, e.g. flywheels or pressurised fluids

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention relates to a cooperative control method, a system and a medium for flywheel-battery hybrid energy storage to participate in frequency modulation, which comprise the following steps: collecting a real-time frequency signal and a sampling time interval, and calculating the frequency deviation and the frequency deviation change rate of the current moment based on the real-time frequency signal, the rated working frequency and the sampling time interval; when the frequency deviation exceeds the system frequency modulation threshold, calculating an output distribution coefficient value based on the frequency adjustment stage of the system; and calculating an active power value which is required to be output by the hybrid energy storage system based on the frequency deviation, the frequency deviation change rate and the output distribution coefficient value at the current moment, and providing a power reference value for controlling the hybrid energy storage system. Compared with the traditional method, the method can effectively and comprehensively utilize the advantages of virtual inertia control and virtual sagging control, adjust the active force of each part of energy storage system, prolong the service life of each part of energy storage system, effectively reduce the frequency change speed of the system and furthest improve the overall working performance of the hybrid energy storage system.

Description

Flywheel-battery hybrid energy storage participation frequency modulation cooperative control method, system and medium
Technical Field
The invention belongs to the field of energy storage participation in frequency regulation of a power grid system, and particularly relates to a cooperative control method, a system and a medium for flywheel-battery hybrid energy storage participation in frequency modulation.
Background
The energy storage system has excellent power regulation performance and frequency control capability, and plays an important role in improving the adjustability and controllability of renewable energy sources and supporting the frequency modulation capability of a power grid. A single energy storage system cannot meet the requirements of high power density and high energy density at the same time, so that it is necessary to combine energy storage and power storage into a hybrid energy storage system for practical application, so as to improve the overall performance of the energy storage system. Common hybrid energy storage systems mainly include battery-supercapacitor hybrid energy storage systems, flywheel-battery hybrid energy storage systems, fuel cell-supercapacitor hybrid energy storage systems, and the like. The flywheel-battery hybrid energy storage system is a hybrid energy storage system with practical prospect at present because the flywheel energy storage system has the advantages of higher environmental friendliness, lower unit energy storage cost and the like.
The frequency modulation advantages of the two energy storage systems are integrated, the two energy storage systems are combined to form the hybrid energy storage system by a reasonable control strategy, the problems that the battery energy storage system is insufficient in environmental protection, low in power density, low in energy density of the flywheel energy storage system, high in manufacturing cost and the like possibly caused by the application of a single energy storage system can be solved, the advantages of different energy storage systems can be fully exerted, and the working performance is improved. However, the research on the hybrid energy storage coordination control strategy is mainly aimed at super capacitor-battery hybrid energy storage, and the research on the coordination control strategy of flywheel-battery hybrid energy storage is less. Therefore, a reasonable and effective control strategy is provided for controlling the working process of the cooperative frequency modulation of the flywheel-battery hybrid energy storage system, and the method is a main problem to be solved.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides a cooperative control method and a system for flywheel-battery hybrid energy storage to participate in frequency modulation.
The invention is realized in such a way that the flywheel-battery hybrid energy storage participates in the cooperative control method of frequency modulation, which comprises the following steps:
acquiring data of the hybrid energy storage system in real time and calculating the frequency deviation and the frequency deviation change rate at the current moment;
calculating an output distribution coefficient value of a frequency adjustment stage where the hybrid energy storage system is positioned at the current moment when the frequency deviation of the current moment exceeds a system frequency modulation threshold value, and calculating an active power value which the hybrid energy storage system should output according to the frequency deviation, the frequency deviation change rate and the output distribution coefficient value at the current moment;
the active power value to be output by the hybrid energy storage system=the active power value to be output by the flywheel energy storage, the first proportional distribution coefficient+the second proportional distribution coefficient, and the active power value to be output by the battery energy storage.
The frequency adjusting stage of the hybrid energy storage system at the current moment comprises a first stage and a second stage, wherein the first stage is a virtual inertia control strategy stage, and the second stage is a virtual droop control strategy stage.
In the above-mentioned cooperative control method for flywheel-battery hybrid energy storage to participate in frequency modulation, the hybrid energy storage system data includes a real-time frequency signal, a rated operating frequency and a sampling time interval, and calculates a frequency deviation and a frequency deviation change rate at the current moment according to the real-time frequency signal, the rated operating frequency and the sampling time interval.
In the above-mentioned cooperative control method of flywheel-battery hybrid energy storage participation frequency modulation, the frequency deviation calculation formula at the current moment is:
Δf=f t -f 0
Δf represents the frequency deviation at the current time, f t A frequency signal f representing the current time t 0 Indicating the nominal operating frequency of the system.
In the above-mentioned cooperative control method of flywheel-battery hybrid energy storage participation frequency modulation, the calculation formula of the frequency deviation change rate at the current moment is:
in the middle ofRepresents the rate of change of the frequency deviation at the current time, Δt represents the sampling time interval, f t A frequency signal f representing the current time t t-1 A frequency signal representing the last sampling instant t-1.
In the above-mentioned cooperative control method of flywheel-battery hybrid energy storage participation frequency modulation, the calculation formula of the output distribution coefficient value is:
the first stage:
the second stage:
alpha in the formula 12 Proportion distribution coefficient alpha for virtual inertia control in sagging response stage 22 For the virtual droop control proportional allocation coefficient in the droop response stage, Δf represents the frequency deviation at the current moment, Δf low Indicating that the frequency modulation threshold value of the system is a fixed value,Δf max represents the maximum frequency deviation of the system, and n represents the scaling factor. Alpha 11 Proportion distribution coefficient alpha for virtual inertia control in inertia response stage 21 The ratio distribution coefficient is controlled for virtual droop in the inertia response phase, Δf represents the frequency deviation at the current moment, and n represents the ratio coefficient.
In the above-mentioned cooperative control method for flywheel-battery hybrid energy storage to participate in frequency modulation, when the hybrid energy storage system is in
The first stage, calculate flywheel energy storage and should output the active power value as:
the first stage, calculate the battery energy storage and should output the active power value as:
P f =K f ·Δf
wherein P is d Active power K which is required to be output for flywheel energy storage under virtual inertia control strategy d Is a control coefficient of the virtual inertia which is a control coefficient of the virtual inertia,the frequency deviation change rate at the current moment is represented; p (P) f Active power to be output for battery energy storage under virtual droop control strategy, K f As a virtual droop control coefficient, Δf represents a frequency deviation at the current time.
In the above-mentioned cooperative control method of flywheel-battery hybrid energy storage participation frequency modulation,
when the hybrid energy storage system is in
The first stage, the active power value to be output by the hybrid energy storage system is calculated as
P E1 =α 11 P d21 P f
In the second stage, the active power value to be output by the hybrid energy storage system is calculated as follows:
P E2 =α 12 P d22 P f
wherein P is E1 Representing the active power to be output by the hybrid energy storage system in the inertial response phase, P d Active power to be output for flywheel energy storage under virtual inertia control strategy, P f Active power to be output for battery energy storage under virtual droop control strategy, alpha 11 Proportion distribution coefficient alpha for virtual inertia control in inertia response stage 21 And controlling the proportion distribution coefficient for the virtual sagging in the inertia response phase. P (P) E2 Representing the active power to be output by the hybrid energy storage system in the droop response phase, P d Active power to be output for flywheel energy storage under virtual inertia control strategy, P f Active power to be output for battery energy storage under virtual droop control strategy, wherein alpha 12 Proportion distribution coefficient alpha for virtual inertia control in sagging response stage 22 The scaling factor is controlled for virtual droop in the droop response phase.
A system, comprising:
the first module is configured to acquire the data of the hybrid energy storage system in real time and calculate the frequency deviation and the frequency deviation change rate at the current moment;
the second module is configured to judge the frequency deviation of the current moment, calculate the output distribution coefficient value of the frequency adjustment stage where the hybrid energy storage system is located at the current moment when the frequency deviation of the current moment exceeds the system frequency modulation threshold, and calculate the active power value which the hybrid energy storage system should output according to the frequency deviation of the current moment, the frequency deviation change rate and the output distribution coefficient value;
and the third module is configured to calculate an active power value to be output by the hybrid energy storage system, wherein the active power value to be output by the hybrid energy storage system=the active power value to be output by the flywheel energy storage, and the active power value to be output by the battery energy storage is represented by the first proportional distribution coefficient and the second proportional distribution coefficient.
The frequency adjusting stage of the hybrid energy storage system at the current moment comprises a first stage and a second stage, wherein the first stage is a virtual inertia control strategy stage, and the second stage is a virtual droop control strategy stage.
An electronic device, a computer-readable storage medium storing computer-executable instructions; and one or more processors coupled to the computer-readable storage medium and configured to execute the computer-executable instructions to cause the apparatus to perform the method of any of claims 1-7.
A readable storage medium storing computer executable instructions which, when executed by a processor, configure the processor to perform the method of any one of claims 1-7.
By combining the technical scheme and the technical problems to be solved, the technical scheme to be protected by the invention has the following advantages and positive effects:
the invention provides a cooperative control method for flywheel-battery hybrid energy storage to participate in frequency modulation, which comprises the following steps: collecting a real-time frequency signal and a sampling time interval, and calculating the frequency deviation and the frequency deviation change rate of the current moment based on the real-time frequency signal, the rated working frequency and the sampling time interval; when the frequency deviation exceeds the system frequency modulation threshold, calculating an output distribution coefficient value based on the frequency adjustment stage of the system; and calculating an active power value which is required to be output by the hybrid energy storage system based on the frequency deviation, the frequency deviation change rate and the output distribution coefficient value at the current moment, and providing a power reference value for controlling the hybrid energy storage system.
The invention applies a cooperative control method of the flywheel-battery hybrid energy storage to participate in frequency modulation to control the participation of the flywheel-battery hybrid energy storage system in the frequency modulation process, and adjusts the output of different energy storage systems at different stages through the output distribution coefficient to control the integral output of the hybrid energy storage system. Compared with the traditional method, the method can effectively and comprehensively utilize the advantages of virtual inertia control and virtual sagging control, adjust the active force of each part of energy storage system, prolong the service life of each part of energy storage system, effectively reduce the frequency change speed of the system, furthest improve the overall working performance of the hybrid energy storage system, and achieve the aim of adjusting the frequency in a high-capacity, high-power and quick-response way.
Drawings
Fig. 1 is a schematic flow chart of a cooperative control method of flywheel-battery hybrid energy storage participation frequency modulation provided by an embodiment of the invention;
fig. 2 is a schematic diagram of a simulation system model of an embodiment of a cooperative control method of flywheel-battery hybrid energy storage participation frequency modulation provided by an embodiment of the invention;
fig. 3 is a comparison chart of frequency modulation effects of an embodiment of a cooperative control method for participating in frequency modulation by flywheel-battery hybrid energy storage provided by the embodiment of the invention.
Fig. 4 is a waveform diagram of flywheel energy storage power and battery energy storage power according to an embodiment of the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described in the following in conjunction with the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
The invention will be further illustrated, but is not limited, by the following examples.
Example 1
The invention provides a cooperative control method for flywheel-battery hybrid energy storage to participate in frequency modulation, which comprises the following steps: collecting a real-time frequency signal and a sampling time interval, and calculating the frequency deviation and the frequency deviation change rate of the current moment based on the real-time frequency signal, the rated working frequency and the sampling time interval; when the frequency deviation exceeds the system frequency modulation threshold, calculating an output distribution coefficient value based on the frequency adjustment stage of the system; based on the frequency deviation, the frequency deviation change rate and the output distribution coefficient value at the current moment, the method calculates the active power value to be output by the hybrid energy storage system and provides a power reference value for controlling the hybrid energy storage system.
The embodiment is realized through the following technical scheme, as shown in fig. 1, the cooperative control method for the hybrid energy storage of the flywheel and the battery to participate in frequency modulation comprises the following steps:
1. step one, collecting a real-time frequency signal and a sampling time interval, calculating a frequency deviation and a frequency deviation change rate at the current moment based on the real-time frequency signal, a rated working frequency and the sampling time interval, and calculating the frequency deviation and the frequency deviation change rate at the current moment, wherein the step one comprises the following steps:
calculating the frequency deviation at the current moment based on the sampled real-time frequency signal and the rated working frequency of the system;
calculating the frequency deviation change rate at the current moment based on the real-time frequency signal and the sampling time interval;
the frequency deviation calculation formula at the current moment is as follows:
Δf=f t -f 0
wherein Δf represents the frequency deviation at the current time, f t A frequency signal f representing the current time t 0 Indicating the nominal operating frequency of the system.
The frequency deviation change rate at the current moment is calculated according to the following formula:
in the middle ofRepresents the rate of change of the frequency deviation at the current time, Δt represents the sampling time interval, f t A frequency signal representing the current time t,f t-1 a frequency signal representing the last sampling instant t-1.
2. Step two, when the frequency deviation exceeds the system frequency modulation threshold, calculating the output distribution coefficient value based on the frequency adjustment stage of the system, wherein the step two comprises the following steps:
calculating an output distribution coefficient value of the inertia response phase for controlling the output of the hybrid energy storage system when the system is in the frequency adjustment inertia response phase;
calculating a droop response output distribution coefficient value when controlling the output of the hybrid energy storage system when the system is in a frequency adjustment droop response stage;
the calculation formula of the output distribution coefficient in the inertia response stage is as follows:
alpha in the formula 11 Proportion distribution coefficient alpha for virtual inertia control in inertia response stage 21 The ratio distribution coefficient is controlled for virtual droop in the inertia response phase, Δf represents the frequency deviation at the current moment, and n represents the ratio coefficient.
The calculation formula of the force distribution coefficient in the sagging response stage is as follows:
alpha in the formula 12 Proportion distribution coefficient alpha for virtual inertia control in sagging response stage 22 For the virtual droop control proportional allocation coefficient in the droop response stage, Δf represents the frequency deviation at the current moment, Δf low Indicating the system frequency modulation threshold as a fixed value, deltaf max Represents the maximum frequency deviation of the system, and n represents the scaling factor.
3. Step three, calculating an active power value to be output by the hybrid energy storage system based on the frequency deviation, the frequency deviation change rate and the output distribution coefficient value at the current moment, and providing a power reference value for controlling the hybrid energy storage system, wherein the step comprises the following steps:
3.1, calculating an active power value to be output by flywheel energy storage under a virtual inertia control strategy based on the frequency deviation change rate at the current moment, wherein a calculation formula is as follows:
p in the formula d Active power K which is required to be output for flywheel energy storage under virtual inertia control strategy d Is a control coefficient of the virtual inertia which is a control coefficient of the virtual inertia,the frequency deviation change rate at the current time is shown.
And 3.2, calculating an active power value to be output by the battery energy storage under the virtual sagging control strategy based on the frequency deviation at the current moment, wherein the calculation formula is as follows:
P f =K f ·Δf
p in the formula f Active power to be output for battery energy storage under virtual droop control strategy, K f As a virtual droop control coefficient, Δf represents a frequency deviation at the current time.
And 3.2, calculating the active power value to be output by the hybrid energy storage system based on the calculated output distribution coefficient values of different frequency adjustment stages of the system.
And 3.21, when the system is in the frequency regulation inertia response stage, calculating an active power value which is required to be output by the inertia response stage hybrid energy storage system based on the output distribution coefficient value of the inertia response stage, wherein an active power calculation formula which is required to be output by the inertia response stage hybrid energy storage system is as follows:
P E1 =α 11 P d21 P f
p in the formula E1 Representing the active power to be output by the hybrid energy storage system in the inertial response phase, P d Active power to be output for flywheel energy storage under virtual inertia control strategy, P f Active power to be output for battery energy storage under virtual droop control strategy, alpha 11 Virtual inertial control proportional allocation for inertial response phaseCoefficient, alpha 21 And controlling the proportion distribution coefficient for the virtual sagging in the inertia response phase.
And 3.22, when the system is in the frequency adjustment droop response stage, calculating an active power value to be output by the hybrid energy storage system in the droop response stage based on the output distribution coefficient value in the droop response stage, wherein an active power calculation formula to be output by the hybrid energy storage system in the droop response stage is as follows:
P E2 =α 12 P d22 P f
p in the formula E2 Representing the active power to be output by the hybrid energy storage system in the droop response phase, P d Active power to be output for flywheel energy storage under virtual inertia control strategy, P f Active power to be output for battery energy storage under virtual droop control strategy, wherein alpha 12 Proportion distribution coefficient alpha for virtual inertia control in sagging response stage 22 The scaling factor is controlled for virtual droop in the droop response phase.
As shown in fig. 2, fig. 2 is a schematic diagram of a simulation model for verifying effectiveness of a cooperative control method of flywheel-battery hybrid energy storage participation frequency modulation in an embodiment of the present application. The model is a micro-grid model which is built based on a PSCAD simulation platform and is composed of a traditional synchronous generator, an active load, a passive load and a flywheel-battery hybrid energy storage system. And designing and cutting the active load for simulation, wherein the simulation time is set to be 30s, and cutting the active load at 20 s.
As shown in fig. 3, fig. 3 is a frequency waveform comparison chart of the frequency modulation effect of the cooperative control method of the flywheel-battery hybrid energy storage participation frequency modulation, compared with the frequency modulation effect under the control of the traditional method, in the inertia response phase, the frequency change rate changes faster, the hybrid energy storage system mainly uses the flywheel energy storage output, and the flywheel energy storage system rapidly and temporarily outputs high power through virtual inertia control, so that the frequency change rate increasing trend is restrained, and the maximum deviation of the power grid frequency is reduced; in the sagging response stage, the hybrid energy storage system mainly uses the energy storage output of the battery, so that the steady-state error of the power grid frequency is reduced.
As shown in fig. 4, fig. 4 is a waveform diagram of flywheel energy storage power and battery energy storage power in an embodiment of the present application. The hybrid energy storage system takes the flywheel energy storage capacity as the main part in the inertia response stage, can fully exert the characteristic of high flywheel energy storage power density, and provides inertia power support for the power grid; in the sagging response stage, the hybrid energy storage system mainly uses the energy storage output of the battery to provide continuous energy for the power grid, so that the primary frequency modulation steady-state frequency deviation is reduced.
Example 2
Based on the same inventive concept, the invention further provides a flywheel-battery hybrid energy storage frequency modulation system and a medium for implementing the flywheel-battery hybrid energy storage participation frequency modulation cooperative control method, wherein the flywheel-battery hybrid energy storage frequency modulation system comprises:
the first module is used for calculating the frequency deviation and the frequency deviation change rate at the current moment based on the real-time frequency signal, the rated working frequency and the time interval;
the second module is used for calculating an output distribution coefficient value based on the frequency adjustment stage of the system;
and the third module is used for calculating the active power value which the hybrid energy storage system should output based on the frequency deviation at the current moment, the frequency deviation change rate and the value of the output distribution coefficient and providing a power reference value for controlling the hybrid energy storage system.
Example 3
Based on the same inventive concept, the present application also provides an electronic device, a computer-readable storage medium storing computer-executable instructions; and one or more processors coupled to the computer-readable storage medium and configured to execute the computer-executable instructions to cause the apparatus to perform the above-described method.
Example 4
Based on the same inventive concept, the present application also provides a readable storage medium storing computer executable instructions that, when executed by a processor, configure the processor to perform the above-described method.
The foregoing is merely illustrative of the preferred embodiments of the present invention and is not intended to limit the embodiments and scope of the present invention, and it should be appreciated by those skilled in the art that equivalent substitutions and obvious variations may be made using the teachings of the present invention, which are intended to be included within the scope of the present invention.

Claims (10)

1. A cooperative control method for flywheel-battery hybrid energy storage to participate in frequency modulation is characterized in that,
acquiring data of the hybrid energy storage system in real time and calculating the frequency deviation and the frequency deviation change rate at the current moment;
calculating an output distribution coefficient value of a frequency adjustment stage where the hybrid energy storage system is positioned at the current moment when the frequency deviation of the current moment exceeds a system frequency modulation threshold value, and calculating an active power value which the hybrid energy storage system should output according to the frequency deviation, the frequency deviation change rate and the output distribution coefficient value at the current moment;
active power value to be output by the hybrid energy storage system = active power value to be output by the flywheel energy storage;
the frequency adjusting stage of the hybrid energy storage system at the current moment comprises a first stage and a second stage, wherein the first stage is a virtual inertia control strategy stage, and the second stage is a virtual droop control strategy stage.
2. The cooperative control method of flywheel-battery hybrid energy storage participation frequency modulation according to claim 1, wherein the hybrid energy storage system data comprises a real-time frequency signal, a rated operating frequency and a sampling time interval, and frequency deviation change rate of the current moment are calculated according to the real-time frequency signal, the rated operating frequency and the sampling time interval.
3. The cooperative control method of flywheel-battery hybrid energy storage participation frequency modulation according to claim 1, wherein the frequency deviation calculation formula at the current moment is:
Δf=f t -f 0
Δf represents the frequency deviation at the current time, f t A frequency signal f representing the current time t 0 Indicating the nominal operating frequency of the system.
4. The cooperative control method of flywheel-battery hybrid energy storage participation frequency modulation according to claim 1, wherein the frequency deviation change rate at the current moment is calculated according to the following formula:
in the middle ofRepresents the rate of change of the frequency deviation at the current time, Δt represents the sampling time interval, f t A frequency signal f representing the current time t t-1 A frequency signal representing the last sampling instant t-1.
5. The cooperative control method of flywheel-battery hybrid energy storage participation frequency modulation according to claim 1, wherein the force distribution coefficient value calculation formula is:
the first stage:
the second stage:
alpha in the formula 12 Proportion distribution coefficient alpha for virtual inertia control in sagging response stage 22 For the virtual droop control proportional allocation coefficient in the droop response stage, Δf represents the frequency deviation at the current moment, Δf low Indicating the system frequency modulation threshold as a fixed value, deltaf max Represents the maximum frequency deviation of the system, n represents the proportionality coefficient, alpha 11 Proportion distribution coefficient alpha for virtual inertia control in inertia response stage 21 The ratio distribution coefficient is controlled for virtual droop in the inertia response phase, Δf represents the frequency deviation at the current moment, and n represents the ratio coefficient.
6. The method of claim 1, wherein when the hybrid energy storage system is in the hybrid energy storage system
The first stage, calculate flywheel energy storage and should output the active power value as:
the first stage, calculate the battery energy storage and should output the active power value as:
P f =K f ·Δf
wherein P is d Active power K which is required to be output for flywheel energy storage under virtual inertia control strategy d Is a control coefficient of the virtual inertia which is a control coefficient of the virtual inertia,the frequency deviation change rate at the current moment is represented; p (P) f Active power to be output for battery energy storage under virtual droop control strategy, K f As a virtual droop control coefficient, Δf represents a frequency deviation at the current time.
7. The cooperative control method of flywheel-battery hybrid energy storage participation frequency modulation according to claim 1, wherein,
when the hybrid energy storage system is in
The first stage, the active power value to be output by the hybrid energy storage system is calculated as
P E1 =α 11 P d21 P f
In the second stage, the active power value to be output by the hybrid energy storage system is calculated as follows:
P E2 =α 12 P d22 P f
wherein P is E1 Representing the active power to be output by the hybrid energy storage system in the inertial response phase, P d Active power to be output for flywheel energy storage under virtual inertia control strategy, P f Active power to be output for battery energy storage under virtual droop control strategy, alpha 11 Proportion distribution coefficient alpha for virtual inertia control in inertia response stage 21 Controlling the proportional distribution coefficient, P, for the virtual droop in the inertial response phase E2 Representing the active power to be output by the hybrid energy storage system in the droop response phase, P d Active power to be output for flywheel energy storage under virtual inertia control strategy, P f Active power to be output for battery energy storage under virtual droop control strategy, wherein alpha 12 Proportion distribution coefficient alpha for virtual inertia control in sagging response stage 22 The scaling factor is controlled for virtual droop in the droop response phase.
8. A system for implementing a flywheel-battery hybrid energy storage participation frequency modulation cooperative control method according to any of claims 1-7, comprising:
the first module is configured to acquire the data of the hybrid energy storage system in real time and calculate the frequency deviation and the frequency deviation change rate at the current moment;
the second module is configured to judge the frequency deviation of the current moment, calculate the output distribution coefficient value of the frequency adjustment stage where the hybrid energy storage system is located at the current moment when the frequency deviation of the current moment exceeds the system frequency modulation threshold, and calculate the active power value which the hybrid energy storage system should output according to the frequency deviation of the current moment, the frequency deviation change rate and the output distribution coefficient value;
the third module is configured to calculate an active power value to be output by the hybrid energy storage system, wherein the active power value to be output by the hybrid energy storage system = the active power value to be output by the flywheel energy storage;
the frequency adjusting stage of the hybrid energy storage system at the current moment comprises a first stage and a second stage, wherein the first stage is a virtual inertia control strategy stage, and the second stage is a virtual droop control strategy stage.
9. An electronic device, characterized by a computer-readable storage medium storing computer-executable instructions; and one or more processors coupled to the computer-readable storage medium and configured to execute the computer-executable instructions to cause the apparatus to perform the method of any of claims 1-7.
10. A readable storage medium, characterized in that computer executable instructions are stored which, when executed by a processor, configure the processor to perform the method according to any one of claims 1-7.
CN202310501198.0A 2023-04-28 2023-04-28 Flywheel-battery hybrid energy storage participation frequency modulation cooperative control method, system and medium Pending CN116526508A (en)

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CN117536691A (en) * 2024-01-09 2024-02-09 枣庄矿业集团新安煤业有限公司 Fully-mechanized coal mining face equipment parameter monitoring method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117536691A (en) * 2024-01-09 2024-02-09 枣庄矿业集团新安煤业有限公司 Fully-mechanized coal mining face equipment parameter monitoring method and system
CN117536691B (en) * 2024-01-09 2024-04-05 枣庄矿业集团新安煤业有限公司 Fully-mechanized coal mining face equipment parameter monitoring method and system

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