CN115276069B - Virtual network construction coordination control method and device for large-scale energy storage power station - Google Patents

Virtual network construction coordination control method and device for large-scale energy storage power station Download PDF

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CN115276069B
CN115276069B CN202211199408.7A CN202211199408A CN115276069B CN 115276069 B CN115276069 B CN 115276069B CN 202211199408 A CN202211199408 A CN 202211199408A CN 115276069 B CN115276069 B CN 115276069B
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energy storage
virtual inertia
power grid
virtual
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CN115276069A (en
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张志文
张靖
欧阳志国
马芳
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Hunan Huada Electrician Hi Tech Co ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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Abstract

The invention discloses a virtual network construction coordination control method and device for a large-scale energy storage power station. Each battery pack PCS in the energy storage system controls the support grid frequency based on a Virtual Synchronous Generator (VSG). In order to ensure the running safety of the energy storage system and reduce the service life loss of a battery, when the frequency of a power grid drops to exceed an allowable limit value, the SOC state of each battery pack of the energy storage system is firstly obtained, and then virtual inertia parameters of each VSG unit are corrected based on the provided control coefficient correction algorithm, so that the inertia response capability of the energy storage unit is adjusted. The invention can cooperate with a plurality of battery packs to participate in the frequency control of the power grid in the form of a virtual synchronous generator on the premise of ensuring the operation safety of a large-scale battery energy storage system, thereby providing inertia support for the power grid.

Description

Virtual network deployment coordination control method and device for large-scale energy storage power station
Technical Field
The invention relates to the technical field of energy storage system operation safety and power grid inertia support, in particular to a virtual network construction coordination control method and device for a large-scale energy storage power station.
Background
With the large-scale and high-proportion access of distributed power supplies such as wind power and photovoltaic power in a power grid, the rotational inertia of a traditional power system is reduced, the change range of frequency is further enlarged when the power grid is disturbed by power, and the fluctuation of new energy power generation is strong, so that the safe and stable operation of the power grid can be further damaged. In order to solve the problem, in recent years, research and development of energy storage technology have been paid attention by energy departments of various countries, and a plurality of policy documents about application of energy storage in power auxiliary services are developed. With the large-scale application of energy storage technology in the power grid, the influence of the energy storage technology on the power quality of the power system is gradually increased. In the aspect of auxiliary power grid frequency modulation, an energy storage system provides voltage and frequency support for a power grid through modes of inertial response, droop control, virtual Synchronous Generator (VSG) control and the like. In order to give full play to the quick response performance of energy storage, virtual inertia is introduced, and when the frequency of a power grid exceeds a normal operation limit value, the energy storage system has the inertia capability of the traditional thermal power generator set, the hydroelectric power generator set and the like. The VSG technology can simulate a rotor motion equation and a primary frequency modulation characteristic of the synchronous generator, and meets the application requirements of an energy storage system on improvement of the voltage and frequency response characteristics of a power grid.
However, when the existing large-scale energy storage power station participates in grid frequency modulation in the form of multiple VSGs, the attention on the state of charge of each battery pack is insufficient. The existing method fails to comprehensively consider real-time SOC information and further dynamically adjusts and optimizes the virtual inertia of the battery pack, particularly when the SOC is at a critical value, the charging and discharging capacity of the battery is limited, if the virtual inertia parameters are not adaptively adjusted, the battery unit is greatly impacted and damaged, the service life of the battery unit is seriously lost, and the battery unit is not beneficial to long-term stable operation of an energy storage power station.
Disclosure of Invention
The invention aims to solve the problem that the attention of the existing energy storage power station participating in power grid frequency modulation in a multi-VSG mode to the energy storage state of charge (SOC) is insufficient, and discloses a virtual network configuration coordination control device and method for a large-scale energy storage power station. On one hand, the quick response performance of energy storage can be fully exerted, when the frequency of the power grid is changed sharply, the quick frequency support is provided for the power grid based on VSG control in cooperation with the multiple battery packs, and safe and stable operation of the large power grid is facilitated; on the other hand, the SOC state of each battery unit is fully considered, the virtual inertia parameters of each VSG unit are corrected through a control coefficient correction algorithm, the service life loss of the energy storage battery units is reduced, the balance control of the SOC is realized, and the long-term stable operation of the energy storage power station is facilitated.
In order to achieve the technical purpose, the technical scheme of the invention is that,
a virtual network construction coordination control method for a large-scale energy storage power station comprises the following steps:
step 1, setting a normal range of power grid frequency, and then carrying out disturbance monitoring on the power grid frequency;
step 2, when the power grid frequency exceeds a normal range, calculating to obtain 10 virtual inertia control correction coefficients corresponding to each battery pack unit according to that the current power grid frequency is higher than an upper limit or lower than a lower limit and 5 intervals that the state of charge value, namely the SOC value, of each battery pack unit of the energy storage power station is increased from small to large;
step 3, correcting each virtual inertia parameter according to each virtual inertia control correction coefficient; and then obtaining PWM control signals of the energy storage converters corresponding to the battery pack units according to the corrected virtual inertia parameters, so that the energy storage converters are connected to a power grid to perform disturbance control on the power grid frequency.
The method, the step 2 comprises:
according to the normal range of the power grid frequencyf down ，f up ]And SOC i Calculating the virtual inertia control correction coefficient corresponding to each battery pack unitk i Whereinf down Represents the normal lower limit value of the grid frequency,f up representing the normal upper limit value, SOC, of the grid frequency i Indicates the state of charge values of the respective battery cells,i=1…n, nindicating that the energy storage plant containsnEach cell unit group;
k i is about SOC i The segment function of (1) has a value interval of [0,1 [ ]]Will SOC i The division into 5 intervals:
when the SoC is i ∈[0，SoC min ]The method comprises the following steps:
Figure 22793DEST_PATH_IMAGE001
when SoC i ∈[SoC min ，SoC low ]The method comprises the following steps:
Figure 595726DEST_PATH_IMAGE002
when SoC i ∈[SoC low ，SoC high ]The method comprises the following steps:
Figure 47567DEST_PATH_IMAGE003
when the SoC is i ∈[SoC high ，SoC max ]The method comprises the following steps:
Figure 973934DEST_PATH_IMAGE004
when the SoC is i ∈[SoC max ，1]The method comprises the following steps:
Figure 444099DEST_PATH_IMAGE005
wherein, soC min 、SoC low 、SoC high And SoC max Is a battery state limit parameter with the numerical value from small to large,δto adjust the parameters.
In the method, in the step 3, each virtual inertia parameter is corrected according to each virtual inertia control correction coefficient, and each corrected virtual inertia parameter is calculated based on the following formulaJ i ：
Figure 797720DEST_PATH_IMAGE006
WhereinJ 0 In the traditional control method, virtual inertia parameters selected when the SOC state is not considered,k i the correction coefficient is controlled for the virtual inertia corresponding to each battery pack unit,i=1…n, nindicating that the energy storage plant containsnAnd each cell group.
A virtual network deployment coordination control device of a large-scale energy storage power station comprises a power grid state monitoring module, a battery energy storage system state monitoring module, a virtual inertia control coefficient correction module and an energy storage converter virtual network deployment coordination control algorithm module;
the power grid state monitoring module monitors the power grid frequency and transmits the frequency value to the virtual inertia control coefficient correction module;
the battery energy storage system state monitoring module monitors the SOC value which is the state of charge value of each battery pack unit of the energy storage power station and transmits the SOC value to the virtual inertia control coefficient correction module;
the virtual inertia control coefficient correction module comprises a logic judgment module and an operation module, wherein the logic judgment module receives and judges whether the power grid frequency exceeds a normal range, and when the power grid frequency exceeds the normal range, the operation module calculates to obtain 10 virtual inertia control correction coefficients corresponding to each battery pack unit according to the fact that the current power grid frequency is higher than an upper limit or lower than a lower limit and 5 intervals of which the SOC value is increased from small to large;
the energy storage converter virtual network construction coordination control algorithm module is used for correcting the virtual inertia parameters according to the virtual inertia control correction coefficient and then obtaining PWM control signals of the energy storage converter corresponding to each battery pack unit; therefore, the energy storage converter is controlled to be connected into the power grid to carry out disturbance control on the power grid frequency.
The device, the operation module of the virtual inertia control coefficient correction module, the calculating the virtual inertia control correction coefficient includes:
according to the normal range of the grid frequencyf down ，f up ]And SOC i Calculating the virtual inertia control correction coefficient corresponding to each battery pack unitk i Whereinf down Represents the normal lower limit value of the grid frequency,f up representing the normal upper limit value, SOC, of the grid frequency i Indicates the state of charge values of the respective battery cells,i=1…n, nindicating that the energy storage plant containsnEach cell unit group;
k i is about SOC i The segment function of (1) has a value interval of [0,1 [ ]]Will SOC i The division into 5 intervals:
when the SoC is i ∈[0，SoC min ]When the method is used:
Figure 471278DEST_PATH_IMAGE007
when SoC i ∈[SoC min ，SoC low ]The method comprises the following steps:
Figure 466916DEST_PATH_IMAGE008
when SoC i ∈[SoC low ，SoC high ]The method comprises the following steps:
Figure 791587DEST_PATH_IMAGE009
when the SoC is i ∈[SoC high ，SoC max ]The method comprises the following steps:
Figure 316109DEST_PATH_IMAGE010
when the SoC is i ∈[SoC max ，1]The method comprises the following steps:
Figure 476963DEST_PATH_IMAGE011
wherein, soC min 、SoC low 、SoC high And SoC max Is a battery state limit parameter with the numerical value from small to large,δto adjust the parameters.
According to the device, the energy storage converter virtual network construction coordination control algorithm module corrects the virtual inertia parameters according to the virtual inertia control correction coefficient, and the method comprises the following steps:
calculating each corrected virtual inertia parameter based on the following formulaJ i ：
Figure 511781DEST_PATH_IMAGE012
WhereinJ 0 In the traditional control method, virtual inertia parameters selected when the SOC state is not considered,k i the correction coefficient is controlled for the virtual inertia corresponding to each battery pack unit,i=1…n, nindicating that the energy storage plant containsnEach cell group.
An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the aforementioned method.
A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method as set forth in the foregoing.
The invention has the technical effects that the quick response performance of energy storage can be fully exerted, when the frequency of a power grid is changed sharply, the quick frequency support is provided for the power grid by cooperating with the multi-battery pack unit of the energy storage power station based on VSG control, and the safe and stable operation of a large power grid is facilitated. Meanwhile, the SOC state of each battery unit is fully considered, the virtual inertia parameters of each VSG unit are corrected through a control coefficient correction algorithm, the service life loss of the energy storage battery units is reduced, and the long-term stable operation of the energy storage power station is facilitated.
The invention is further described below with reference to the accompanying drawings.
Drawings
FIG. 1 is a topological diagram of a virtual network configuration coordination control device of a large-scale energy storage power station;
fig. 2 is a diagram of implementation steps of a virtual fabric coordination control method of a large-scale energy storage power station.
Detailed Description
Fig. 1 is a topological diagram of a virtual fabric coordination control device of a large-scale energy storage power station. The device mainly comprises a power grid side frequency, voltage and current monitoring module, a battery energy storage system state monitoring module, a virtual inertia control coefficient correction module, an energy storage converter (PCS) virtual network construction coordination control algorithm module and a Goose communication module, and all modules of the virtual network construction coordination control device of the large-scale energy storage power station are explained in detail by combining with a figure 1.
(1) The power grid side frequency, voltage and current monitoring module can monitor the power grid frequency, voltage and current and transmit the frequency value to the virtual inertia control coefficient correction module;
(2) The battery energy storage system state monitoring module can monitor the SOC value of each battery cell group in the energy storage power station in real time and transmit the SOC value to the virtual inertia control coefficient correction module;
(3) The virtual inertia control coefficient correction module comprises a logic judgment module and an operation module, and the logic judgment module judges whether energy storage is needed or not to perform frequency response based on the power grid frequency value. And if the power grid frequency needs to be adjusted, transmitting the frequency and the SOC signal to the operation module. The operation module calculates a virtual inertia correction coefficient based on a virtual inertia control coefficient correction algorithm and transmits the virtual inertia correction coefficient to the PCS virtual network configuration coordination control algorithm module;
(4) The PCS virtual network construction coordination control algorithm module can control and output PWM control signals to the energy storage converter based on the virtual synchronous generator according to the power grid frequency and the virtual inertia correction coefficient.
(5) The Goose communication module can accurately transmit the PWM control signal to the energy storage converter module, and the support of the power grid frequency is achieved.
Fig. 2 is a diagram of implementation steps of a virtual fabric network coordination control method of a large-scale energy storage power station, and the implementation steps of the virtual fabric network coordination control method of the large-scale energy storage power station provided in this embodiment are described in detail with reference to fig. 2;
step 1: monitoring the power grid frequency disturbance, and judging whether an energy storage power station is required to participate in the power grid frequency, wherein the normal range of the power grid frequency is specified to be [ 2 ]f down ，f up ]；
Step 2: when the grid frequency exceeds the normal operating limit, the grid frequencyfAnd each battery pack unit SOC of energy storage power station 1 、SOC 2 …SOC n Transmitting to an operation module;
and step 3: the operation module mainly comprises a newly-proposed virtual inertia control coefficient correction algorithm which is as follows:
let the virtual inertia control coefficient bek i , i=1…n, nIndicating that the energy storage plant containsnThe number of the battery cell groups is one,k i is about SOC i The value range of the piecewise function of (1) is [0,1 ]]Will SOC i Dividing the space into 5 intervals, and designing according to the following method:
when the SoC is i ∈[0，SoC min ]The battery discharge depth exceeds a safety limit, and charging can be carried out only:
Figure 484766DEST_PATH_IMAGE001
when the SoC is i ∈[SoC min ，SoC low ]The battery cell does not support full power discharge:
Figure 321135DEST_PATH_IMAGE013
when the SoC is i ∈[SoC low ，SoC high ]The battery cell supports full power charging and discharging:
Figure 484132DEST_PATH_IMAGE003
when the SoC is i ∈[SoC high ，SoC max ]The battery cell does not support full power charging:
Figure 998788DEST_PATH_IMAGE014
when the SoC is i ∈[SoC max ，1]The battery is in an overcharged state, and only allows discharge:
Figure 314363DEST_PATH_IMAGE005
wherein, soC min 、SoC low 、SoC high And SoC max In the form of a battery state limit parameter,δin order to adjust the parameters, the parameters are selected according to the factory performance of the battery and the actual requirements, and are not limited to fixed values.
Based on the algorithm, the operation module calculates each correction coefficientk i And sending the virtual inertia parameters to a PCS virtual network configuration coordination control algorithm moduleJ i The correction is as follows:
Figure 180688DEST_PATH_IMAGE006
wherein,J 0 the virtual inertia parameter is selected when the SOC state is not considered in the traditional control method.
And 4, step 4: the PCS virtual network construction coordination control algorithm module outputs PWM control signals to the energy storage converter, wherein the specific PWM control process is the prior art and can be realized based on the common prior art. And the PWM control signal is transmitted to the energy storage converter module through the Goose communication module, so that the frequency of the power grid is supported.
Meanwhile, the embodiment of the invention also provides an electronic device and a computer readable medium.
Wherein electronic equipment includes:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the aforementioned methods.
In specific use, a user can interact with a server which is also used as a terminal device through an electronic device which is used as the terminal device and based on a network, and functions of receiving or sending messages and the like are realized. The terminal device is generally a variety of electronic devices provided with a display device and used based on a human-computer interface, including but not limited to a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like. Various specific application software can be installed on the terminal device according to needs, including but not limited to web browser software, instant messaging software, social platform software, shopping software and the like.
The server is a network server for providing various services, such as a background server for providing corresponding computing services for received data such as the power grid frequency transmitted from the terminal device and the charge state of each battery pack unit. So as to obtain the corresponding PWM control signal of the energy storage converter and return the final result to the terminal equipment.
The coordination control method provided by this embodiment can be executed by the server, and in practical applications, the terminal device can also directly execute coordination control when the necessary conditions are met, and accordingly, the coordination control device can be disposed in the server, and similarly, the coordination control device can also be disposed in the terminal device when the necessary conditions are met.
Similarly, the computer-readable medium of the present invention has stored thereon a computer program which, when executed by a processor, implements the coordination control method of the embodiment of the present invention.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (6)

1. A virtual network deployment coordination control method of a large-scale energy storage power station is characterized by comprising the following steps:
step 1, setting a normal range of power grid frequency, and then carrying out disturbance monitoring on the power grid frequency;
step 2, when the power grid frequency exceeds a normal range, calculating to obtain 10 virtual inertia control correction coefficients corresponding to each battery pack unit according to 5 intervals that the current power grid frequency is higher than an upper limit or lower than a lower limit and the SOC value of each battery pack unit of the energy storage power station is from small to large;
step 3, correcting each virtual inertia parameter according to each virtual inertia control correction coefficient; then according to the corrected virtual inertia parameters, PWM control signals of the energy storage converters corresponding to the battery pack units are obtained, and therefore the energy storage converters are connected into a power grid to perform disturbance control on the power grid frequency;
the step 2 comprises the following steps:
according to the normal range of the grid frequencyf down ，f up ]And SOC i Calculating the virtual inertia control correction coefficient corresponding to each battery pack unitk i Whereinf down Represents the normal lower limit value of the grid frequency,f up indicating the normal upper limit of the grid frequency, SOC i Indicates the state of charge values of the respective battery cells,i=1…n, nindicating that the energy storage plant containsnEach cell unit group;
k i is about SOC i The segment function of (1) has a value interval of [0,1 [ ]]Will SOC i The division into 5 intervals:
when SoC i ∈[0，SoC min ]The method comprises the following steps:
Figure 987530DEST_PATH_IMAGE001
when the SoC is i ∈[SoC min ，SoC low ]The method comprises the following steps:
Figure 498146DEST_PATH_IMAGE002
when SoC i ∈[SoC low ，SoC high ]The method comprises the following steps:
Figure 746724DEST_PATH_IMAGE003
when SoC i ∈[SoC high ，SoC max ]When the method is used:
Figure 253186DEST_PATH_IMAGE004
when the SoC is i ∈[SoC max ，1]The method comprises the following steps:
Figure 536399DEST_PATH_IMAGE005
wherein, soC min 、SoC low 、SoC high And SoC max Is a battery state limit parameter with the numerical value from small to large,δto adjust the parameters.
2. The method according to claim 1, wherein in step 3, the virtual inertia parameters are corrected according to the virtual inertia control correction coefficients, and the corrected virtual inertia parameters are calculated based on the following formulaJ i ：
Figure 93283DEST_PATH_IMAGE006
WhereinJ 0 In the traditional control method, virtual inertia parameters selected when the SOC state is not considered,k i the correction coefficient is controlled for the virtual inertia corresponding to each battery pack unit,i=1…n, nindicating that the energy storage plant containsnAnd each cell group.
3. A virtual network deployment coordination control device of a large-scale energy storage power station is characterized by comprising a power grid state monitoring module, a battery energy storage system state monitoring module, a virtual inertia control coefficient correction module and an energy storage converter virtual network deployment coordination control algorithm module;
the power grid state monitoring module monitors the power grid frequency and transmits the frequency value to the virtual inertia control coefficient correction module;
the battery energy storage system state monitoring module monitors the SOC value of each battery pack unit of the energy storage power station, and transmits the SOC value to the virtual inertia control coefficient correction module;
the virtual inertia control coefficient correction module comprises a logic judgment module and an operation module, wherein the logic judgment module receives and judges whether the power grid frequency exceeds a normal range, and when the power grid frequency exceeds the normal range, the operation module calculates to obtain virtual inertia control correction coefficients corresponding to 10 battery pack units according to the fact that the current power grid frequency is higher than an upper limit or lower than a lower limit and 5 intervals with SOC values from small to large;
the energy storage converter virtual network construction coordination control algorithm module is used for correcting the virtual inertia parameters according to the virtual inertia control correction coefficient and then obtaining PWM control signals of the energy storage converter corresponding to each battery pack unit; thereby controlling the energy storage converter to be connected into a power grid to carry out disturbance control on the power grid frequency;
the calculation module of the virtual inertia control coefficient correction module calculates the virtual inertia control correction coefficient, and comprises:
according to the normal range of the grid frequencyf down ，f up ]And SOC i Calculating the virtual inertia control correction coefficient corresponding to each battery pack unitk i Whereinf down Represents the normal lower limit value of the grid frequency,f up indicating the normal upper limit of the grid frequency, SOC i Indicating individual battery cellsThe state-of-charge value of (c),i=1…n, nindicating that the energy storage plant containsnEach cell unit group;
k i is about SOC i The value range of the piecewise function of (4) is [0,1 ]]Will SOC i The division into 5 intervals:
when the SoC is i ∈[0，SoC min ]The method comprises the following steps:
Figure 953791DEST_PATH_IMAGE007
when the SoC is i ∈[SoC min ，SoC low ]The method comprises the following steps:
Figure 887112DEST_PATH_IMAGE008
when the SoC is i ∈[SoC low ，SoC high ]The method comprises the following steps:
Figure 290412DEST_PATH_IMAGE009
when the SoC is i ∈[SoC high ，SoC max ]When the method is used:
Figure 627983DEST_PATH_IMAGE010
when the SoC is i ∈[SoC max ，1]When the method is used:
Figure 116733DEST_PATH_IMAGE011
wherein, soC min 、SoC low 、SoC high And SoC max Is in the shape of a battery with the numerical value from small to largeThe state-bound parameter is a function of,δto adjust the parameters.
4. The apparatus of claim 3, wherein the energy storage converter virtual grid coordination control algorithm module modifies the virtual inertia parameter according to the virtual inertia control modification coefficient comprises:
calculating each corrected virtual inertia parameter based on the following formulaJ i ：
Figure 447221DEST_PATH_IMAGE012
WhereinJ 0 In the traditional control method, virtual inertia parameters selected when the SOC state is not considered,k i the correction coefficient is controlled for the virtual inertia corresponding to each battery pack unit,i=1…n, nindicating that the energy storage plant containsnAnd each cell group.
5. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-2.
6. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-2.
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