CN114362201B - Power grid power balance control method and device and energy storage power station cluster - Google Patents

Power grid power balance control method and device and energy storage power station cluster Download PDF

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CN114362201B
CN114362201B CN202111644491.XA CN202111644491A CN114362201B CN 114362201 B CN114362201 B CN 114362201B CN 202111644491 A CN202111644491 A CN 202111644491A CN 114362201 B CN114362201 B CN 114362201B
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power
energy storage
station
power grid
regional
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CN114362201A (en
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董建明
王开让
刘辉
吴林林
刘迪
陈豪
赵一名
黄贤淼
史学伟
刘汉民
田云峰
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State Grid Jibei Zhangjiakou Fengguang Storage And Transmission New Energy Co ltd
State Grid Corp of China SGCC
North China Electric Power Research Institute Co Ltd
State Grid Jibei Electric Power Co Ltd
Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
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State Grid Jibei Zhangjiakou Fengguang Storage And Transmission New Energy Co ltd
State Grid Corp of China SGCC
North China Electric Power Research Institute Co Ltd
State Grid Jibei Electric Power Co Ltd
Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
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    • 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
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/30Reactive power compensation
    • 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
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/50Arrangements for eliminating or reducing asymmetry in polyphase networks
    • 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
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • 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
    • 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The application provides a power grid power balance control method and device and an energy storage power station cluster, wherein the method comprises the following steps: acquiring power grid operation data of a regional power grid; determining an independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the power grid operation data; and adjusting the power of the regional power grid by using the independent energy storage power station group to be processed, judging whether the adjusted power of the regional power grid exceeds a preset power fluctuation range, and if so, performing power balance control on the regional power grid by using a new energy station economic optimization model built in advance and a new energy station group corresponding to the regional power grid. The method and the device can improve accuracy and efficiency of power grid power balance control, further can ensure stable operation of the power grid, and can reduce cost of power grid power balance control.

Description

Power grid power balance control method and device and energy storage power station cluster
Technical Field
The application relates to the technical field of energy storage and new energy, in particular to a power grid power balance control method and device and an energy storage power station cluster.
Background
Along with the new energy power generation entering a large-scale application stage, a large amount of distributed wind and light new energy source gushes into the regional power grid. The random fluctuation of the new energy output causes serious power disturbance of the regional power grid, the voltage quality of the regional power grid is affected, a large amount of disturbance is conducted to the main power grid, the operation pressure of the regional power grid is increased, and meanwhile, the economic and safe operation of the regional power grid is seriously affected by frequent power disturbance.
Currently, power disturbances of regional power grids are typically balanced by peak shaving, frequency modulation and standby capacity; however, as the new energy replaces the traditional energy, the inertia and frequency modulation capability of the power grid are weakened, the frequency fluctuation caused by power disturbance is more obvious, the power grid is balanced only through peak shaving, frequency modulation and standby capacity, the reaction is slower, and the power balance control effect of the power grid is poorer.
Disclosure of Invention
Aiming at the problems in the prior art, the application provides a power grid power balance control method, a device and an energy storage power station cluster, which can improve the accuracy and efficiency of power grid power balance control, further ensure the stable operation of a power grid and reduce the cost of power grid power balance control.
In order to solve the technical problems, the application provides the following technical scheme:
In a first aspect, the present application provides a power grid power balance control method, including:
acquiring power grid operation data of a regional power grid;
determining an independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the power grid operation data;
and adjusting the power of the regional power grid by using the independent energy storage power station group to be processed, judging whether the adjusted power of the regional power grid exceeds a preset power fluctuation range, and if so, performing power balance control on the regional power grid by using a new energy station economic optimization model built in advance and a new energy station group corresponding to the regional power grid.
Further, the determining, according to the power grid operation data, an independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid includes:
according to the power grid operation data, determining the space-time fluctuation classification of the regional power grid;
and determining the independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the space-time fluctuation classification.
Further, the power balance control of the regional power grid by applying the pre-built new energy station economic optimization model and the new energy station group corresponding to the regional power grid includes:
Determining a target new energy station selected from the new energy station group when the sum of energy storage cost and running cost in a full scheduling period is lowest according to a pre-constructed new energy station economic optimization model;
and carrying out power balance control on the regional power grid by using the target new energy station.
Further, the step of constructing the new energy station economic optimization model comprises the following steps:
constructing an economic optimization model of the new energy station according to the running cost of the new energy station and the energy storage cost of the service life loss of the battery;
the optimizing target of the new energy station economic optimizing model is that the sum of energy storage cost and running cost in the whole dispatching period is the lowest; constraint conditions of the new energy station economic optimization model comprise: a power balance constraint, an energy storage state of charge constraint condition and a charge-discharge power constraint condition.
Further, the grid operation data includes: current power, fluctuation amplitude degree and time-space fluctuation duration;
correspondingly, the determining the space-time fluctuation classification of the regional power grid according to the power grid operation data comprises the following steps:
and determining the time-space fluctuation classification of the regional power grid according to the current power, the fluctuation amplitude degree and the time-space fluctuation duration.
Further, the determining the independent energy storage power station group to be processed from the multiple independent energy storage power station groups corresponding to the regional power grid according to the space-time fluctuation classification includes:
if the space-time fluctuation classification is short-time space fluctuation classification, determining an independent energy storage power station group formed by all small independent energy storage power stations as the independent energy storage power station group to be processed;
if the space-time fluctuation is classified into medium space-time fluctuation classification, determining an independent energy storage power station group formed by all medium-sized independent energy storage power stations as the independent energy storage power station group to be processed;
and if the space-time fluctuation classification is long space-time fluctuation classification, determining an independent energy storage power station group formed by all large independent energy storage power stations as the independent energy storage power station group to be processed.
Further, the power grid power balance control method further comprises the following steps:
acquiring the power capacity of a plurality of independent energy storage power stations;
and dividing the independent energy storage power stations into small-sized independent energy storage power stations, medium-sized independent energy storage power stations and large-sized independent energy storage power stations according to the power capacity of each independent energy storage power station.
Further, the applying the independent energy storage power station group to be processed to adjust the power of the regional power grid includes:
Acquiring respective energy storage power station types, charge and discharge states, current charge states, discharge power, charge and discharge response time and physical distances between the respective energy storage power stations in the independent energy storage power station group and grid connection points of the regional power grid;
selecting a target independent energy storage power station from the independent energy storage power station group to be processed according to the respective charge and discharge state, the current charge state, the discharge power, the charge and discharge response time and the physical distance between the target independent energy storage power station and the grid connection point of the regional power grid;
and sequencing the target independent energy storage power stations according to the types and the current charge states of the energy storage power stations, and sequentially calling the target independent energy storage power stations to perform power balance control on the regional power grid until the regional power grid reaches power balance or each target independent energy storage power station is called.
Further, the large independent energy storage power station comprises: a new battery energy storage power station and a cascade utilization energy storage power station;
correspondingly, the selecting a target independent energy storage power station from the to-be-processed independent energy storage power station group according to the respective charge and discharge state, the current charge state, the discharge power, the charge and discharge response time and the physical distance between the to-be-processed independent energy storage power station group and the grid connection point of the regional power grid comprises the following steps:
Dividing each independent energy storage power station into a new battery energy storage power station group and a echelon utilization energy storage power station group according to the type of the energy storage power station;
sequencing a new battery energy storage power station group by applying the charge and discharge state, the current charge state, the discharge power, the charge and discharge response time and the physical distance between the charge and discharge response time and the grid connection point of the regional power grid;
sequencing the echelon utilization energy storage power station groups by applying the charge and discharge state, the current charge state, the discharge power, the charge and discharge response time and the physical distance between the charge and discharge response time and the grid connection point of the regional power grid;
and determining the sequencing result of each independent energy storage power station according to the new battery energy storage power station group, the echelon utilization energy storage power station group and the sequencing results thereof.
In a second aspect, the present application provides a power grid power balance control device, including:
the acquisition module is used for acquiring power grid operation data of the regional power grid;
the determining module is used for determining independent energy storage power station groups to be processed from multiple independent energy storage power station groups corresponding to the regional power grid according to the power grid operation data;
and the power balance control module is used for applying the independent energy storage power station group to be processed, adjusting the power of the regional power grid, judging whether the adjusted power of the regional power grid exceeds a preset power fluctuation range, and if so, applying a pre-built new energy station economic optimization model and a new energy station group corresponding to the regional power grid to perform power balance control on the regional power grid.
Further, the determining module includes:
the first determining unit is used for determining the space-time fluctuation classification of the regional power grid according to the power grid operation data;
and the second determining unit is used for determining independent energy storage power station groups to be processed from multiple independent energy storage power station groups corresponding to the regional power grid according to the space-time fluctuation classification.
Further, the power balance control module includes:
the selection unit is used for determining a target new energy station selected from the new energy station group when the sum of energy storage cost and operation cost in a full scheduling period is the lowest according to a pre-constructed new energy station economic optimization model;
and the balance control unit is used for carrying out power balance control on the regional power grid by applying the target new energy station.
Further, the grid operation data includes: current power, fluctuation amplitude degree and time-space fluctuation duration;
correspondingly, the first determining unit includes:
and the space-time fluctuation classification subunit is used for determining the space-time fluctuation classification of the regional power grid according to the current power, the fluctuation amplitude degree and the space-time fluctuation duration.
Further, the second determining unit includes:
The first determining subunit is used for determining an independent energy storage power station group formed by all small independent energy storage power stations as the independent energy storage power station group to be processed if the space-time fluctuation classification is a short-time space fluctuation classification;
the second determining subunit is used for determining an independent energy storage power station group formed by all medium-sized independent energy storage power stations as the independent energy storage power station group to be processed if the space-time fluctuation is classified into medium-sized space-time fluctuation classification;
and the third determination subunit is used for determining the independent energy storage power station group formed by all the large independent energy storage power stations as the independent energy storage power station group to be processed if the space-time fluctuation classification is long space-time fluctuation classification.
In a third aspect, the present application provides an energy storage power station cluster comprising:
the new energy station group and the independent energy storage power station group; the new energy station group includes: a plurality of new energy stations, the independent energy storage power station group comprising: a plurality of independent energy storage power stations; each independent energy storage power station and the new energy field station are connected through a node transformer.
In a fourth aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the grid power balance control method when executing the program.
In a fifth aspect, the present application provides a computer readable storage medium having stored thereon computer instructions that, when executed, implement the grid power balance control method.
According to the technical scheme, the application provides a power grid power balance control method and device and an energy storage power station cluster. Wherein the method comprises the following steps: acquiring power grid operation data of a regional power grid; determining an independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the power grid operation data; adjusting the power of the regional power grid by using the independent energy storage power station group to be processed, judging whether the adjusted power of the regional power grid exceeds a preset power fluctuation range, if so, performing power balance control on the regional power grid by using a new energy station economic optimization model constructed in advance and a new energy station group corresponding to the regional power grid, so that the accuracy and the efficiency of power balance control of the power grid can be improved, the stable operation of the power grid can be ensured, and meanwhile, the cost of power balance control of the power grid can be reduced; specifically, the power disturbance can be reasonably shared and orderly absorbed at each level in the regional power grid; the method has the advantages that the performance difference of the independent energy storage power stations and the economy of the new energy station can be considered, the performance characteristics of various energy storage are fully utilized to balance and stabilize the power fluctuation of the regional power grid while the safe and stable operation of the regional power grid is ensured by combining the performance and the economy, the performance characteristics of the independent energy storage power stations, the new energy station for configuring the energy storage and the optimal economic cost can be comprehensively optimized, the reasonable energy storage power station operation plan and the characteristic indexes of the energy storage power stations in the region are determined through global optimization, the energy storage power stations receive the index parameters given by the regional power grid, controllable and adjustable resources such as the energy storage in the region are excavated, the power of the energy storage power stations can be regulated in real time under the condition of ensuring the economic and safe power supply of the regional power grid, the index limit value and different scenes can be met, the application scene is wide, and active support can be provided for the actual production of the regional power grid; the current response capability of each independent energy storage power station and the new energy station for configuring energy storage can be comprehensively evaluated, the safe operation of the power grid can be ensured while the new energy consumption is improved, and the realization of a double-carbon target is promoted.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method of controlling power balance of a power grid in an embodiment of the present application;
FIG. 2 is a flow chart of step 511 and step 512 of the grid power balance control method in the embodiment of the present application;
FIG. 3 is a schematic flow chart of step 001 and step 002 of the power grid power balance control method in the embodiment of the present application;
fig. 4 is a schematic flow chart of step 421 and step 423 of the power grid power balance control method in the embodiment of the present application;
FIG. 5 is a graphical representation of the rate of change limit of the current application as a function of duration of the fluctuation;
FIG. 6 is a schematic flow chart of a power grid power balance control method in an application example of the present application;
fig. 7 is a schematic structural diagram of a power grid power balance control device in an embodiment of the present application;
FIG. 8 is a schematic logic diagram of a regional power grid in one example of the present application;
fig. 9 is a schematic block diagram of a system configuration of an electronic device according to an embodiment of the present application.
Detailed Description
In order to better understand the technical solutions in the present specification, the following description will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
In order to facilitate understanding of the present embodiment, first, technical contents related to the present embodiment will be described.
The State of Charge (SOC) is used to reflect the remaining capacity of the battery, and is defined numerically as the ratio of the remaining capacity to the battery capacity, and is usually expressed as a percentage. The value range is 0-1, and the battery is completely discharged when soc=0 and completely full when soc=1.
In order to solve the problems in the prior art, the application provides a power balance control method and device for a power grid and an energy storage power station cluster, which take the conditions of disturbance absorption capacity of a region, controllable adjustable space and the like into consideration, a reasonable operation plan and characteristic indexes of various energy storage power stations in the region are customized from global optimization, the various energy storage power stations receive index parameters given by the power grid of the region, controllable and adjustable equipment resources such as storage loads and the like in the region are excavated, and node power is adjusted in real time under the condition of ensuring the economic and safe power supply of the power grid of the region so as to meet index limit values, so that the operation modes under different scenes are met, and the optimization of the section stabilizing control of the power grid of the region can be realized; the independent energy storage power station can represent an energy storage power station, and does not comprise a wind power plant and a photovoltaic power station; the new energy station for configuring energy storage can be composed of a wind power station and an energy storage power station, can also be composed of a photovoltaic power station and an energy storage power station, and can also be composed of the wind power station, the photovoltaic power station and the energy storage power station; the energy storage power station can be a new battery energy storage power station or a battery energy storage power station with echelon utilization.
The regional power grid power disturbance is divided into three space-time scales of short, medium and long, depth matching is carried out between the regional power grid power disturbance and an energy storage power station in the regional power grid in a self-adaptive mode according to disturbance characteristics of the regional power grid power disturbance, specific boundary set values are configured differently according to specific conditions of the regional power grid, the regional power grid power disturbance mainly depends on power control periods and power grid framework of the regional power grid, different space-time scales trigger different control periods, and the regional power grid can respectively realize self-adaptive characteristics on different space-time scales to carry out deep learning so as to adapt to requirements of different response adjustment scenes of the regional power grid.
In consideration of the calling frequency and flexible difference between the independent energy storage power station and the new energy station for configuring energy storage, the energy storage power station and the new energy station for configuring energy storage can be used as an autonomous operation adjusting tool for participating in regional power grids. In order to realize the economical calling of the regional power grid, the independent energy storage power stations are preferably called for charge and discharge operation, when the independent energy storage power stations are not enough for regulation, new energy stations for configuring energy storage are called for further determining calling levels, the new energy stations for configuring energy storage take the economical as priority, and the comprehensive response characteristic operation regulation is performed.
And (3) configuring an optimal economic operation model of the new energy station for storing energy, comprehensively considering the energy storage cost of the service life loss of the battery and the operation cost of the new energy station, and taking the minimum sum of the energy storage cost and the operation cost of the new energy station in a full scheduling period as an optimization target.
For frequency modulation and other scenes, the frequency response is mainly two parameters of maximum deviation and steady-state deviation of the frequency. The larger the disturbance amplitude is under the condition of certain regional power grid inertia, the larger the maximum deviation and steady-state deviation of the frequency are. The maximum deviation of the frequency of the regional power grid and the allowable value of the static deviation are firstly assumed, and the maximum bearable power disturbance amplitude of the power grid is determined according to the frequency response characteristic of the power grid. The maximum bearable power disturbance indicates that the total power variation of the power supply in the regional power grid cannot exceed the limit value, and the exceeding part is independently absorbed and processed by the inside of the regional power grid, so that the space-time scale power fluctuation disturbance quantity is subjected to load constraint in the regional power grid by the maximum bearable power disturbance of the regional power grid.
The calling frequency and flexible difference of the independent energy storage power station and the new energy station for configuring energy storage are considered, and the energy storage power station and the new energy station for configuring energy storage can be used as a long time-space scale control operation adjusting tool in a participating regional power grid. The method comprises the steps of respectively classifying and planning space-time fluctuation, judging a stabilizing strategy of space-time fluctuation power by fluctuation limitation, and when different upper limits are triggered, responding and stabilizing the response of the corresponding energy storage power stations in a self-adaption mode (sorting according to the dynamic running states of the energy storage power stations, the physical distance of grid-connected voltage levels, the current chargeable and dischargeable power, response characteristics, precision and other conditions, preferentially responding to the energy storage power stations with comprehensive optimal performance), wherein when all independent energy storage power stations cannot meet the current power fluctuation, a regional system power grid starts to start a new energy station with prefabricated and screened energy storage with optimal configuration, and further stabilizing the long space-time fluctuation.
Based on this, in order to improve accuracy and efficiency of power grid power balance control, and further ensure stable operation of the power grid, and reduce cost of power grid power balance control at the same time, the embodiment of the present application provides a power grid power balance control device, which may be a server or a client device, where the client device may include a smart phone, a tablet electronic device, a network set top box, a portable computer, a desktop computer, a Personal Digital Assistant (PDA), a vehicle device, an intelligent wearable device, and so on. Wherein, intelligent wearing equipment can include intelligent glasses, intelligent wrist-watch and intelligent bracelet etc..
In practical applications, the part for performing power balance control of the power grid may be performed on the server side as described above, or all operations may be performed in the client device. Specifically, the selection may be made according to the processing capability of the client device, and restrictions of the use scenario of the user. The present application is not limited in this regard. If all operations are performed in the client device, the client device may further include a processor.
The client device may have a communication module (i.e. a communication unit) and may be connected to a remote server in a communication manner, so as to implement data transmission with the server. The server may include a server on the side of the task scheduling center, and in other implementations may include a server of an intermediate platform, such as a server of a third party server platform having a communication link with the task scheduling center server. The server may include a single computer device, a server cluster formed by a plurality of servers, or a server structure of a distributed device.
Any suitable network protocol may be used for communication between the server and the client device, including those not yet developed at the filing date of this application. The network protocols may include, for example, TCP/IP protocol, UDP/IP protocol, HTTP protocol, HTTPS protocol, etc. Of course, the network protocol may also include, for example, RPC protocol (Remote Procedure Call Protocol ), REST protocol (Representational State Transfer, representational state transfer protocol), etc. used above the above-described protocol.
The following examples are presented in detail.
In order to improve accuracy and efficiency of power grid power balance control and further ensure stable operation of a power grid, and reduce cost of power grid power balance control, the embodiment provides a power grid power balance control method of which an execution subject is a power grid power balance control device, wherein the power grid power balance control device comprises, but is not limited to, a server, as shown in fig. 1, and the method specifically comprises the following steps:
step 100: and acquiring power grid operation data of the regional power grid.
Specifically, the grid operation data may include: current power, amplitude level of fluctuation and time-space fluctuation duration.
Step 200: and determining an independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the power grid operation data.
Specifically, the energy storage power station cluster may include: a new energy station group and a plurality of independent energy storage power station groups; wherein, independent energy storage power station group of multiclass is respectively: a small-sized independent energy storage power station group, a medium-sized independent energy storage power station group and a large-sized independent energy storage power station group; the independent energy storage power stations in the small independent energy storage power station group and the medium independent energy storage power station group are new battery energy storage power stations, and the large independent energy storage power station group can comprise new battery energy storage power stations and echelon utilization battery energy storage power stations; the battery energy storage power stations are utilized in a gradient manner in the independent energy storage power stations, and only participate in peak clipping and valley filling of long time-space scale; the new energy station group can comprise a plurality of new energy stations for configuring energy storage; and determining an independent energy storage power station group corresponding to the power grid operation data from the energy storage power station cluster corresponding to the regional power grid as an independent energy storage power station group to be processed.
Step 300: and adjusting the power of the regional power grid by using the independent energy storage power station group to be processed, judging whether the adjusted power of the regional power grid exceeds a preset power fluctuation range, and if so, performing power balance control on the regional power grid by using a new energy station economic optimization model built in advance and a new energy station group corresponding to the regional power grid.
Specifically, when the power of an independent energy storage power station in the independent energy storage power station group reaches the limit and the regional power grid has fluctuation, determining that the independent energy storage power station does not stabilize the power grid, namely if the power of the independent energy storage power station is smaller than the fluctuation power, the stabilizing is not satisfied. When the adjustment capability of the independent energy storage power station is insufficient, the economic efficiency is the most preferable, and the response performance and other capabilities are combined to stabilize the space-time scale power disturbance, the energy storage capacity of the new energy station for configuring energy storage at present is approximately 10% -20% of the capacity of the new energy station, and the energy storage power station in the new energy station for configuring energy storage in the embodiment is a new battery energy storage power station. The energy storage is also divided into energy type and power type (mainly different in power and capacity), and the judgment operation is mainly performed based on the power and capacity.
To further improve the accuracy of determining the target set of energy storage power stations, in one embodiment of the present application, step 200 includes:
step 201: and determining the time-space fluctuation classification of the regional power grid according to the power grid operation data.
Step 202: and determining the independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the space-time fluctuation classification.
Specifically, the correspondence relationship among the spatiotemporal fluctuation classification, the current power, the fluctuation amplitude degree and the spatiotemporal fluctuation duration can be preset; in one example, the correspondence between the spatiotemporal ripple classification, the current power, the degree of ripple amplitude, and the spatiotemporal ripple duration is shown in Table 1:
TABLE 1
That is, as shown in fig. 5, in the present example, when the time-space fluctuation duration is < 30 minutes or the time-space fluctuation duration is equal to or greater than 210 minutes, the fluctuation amplitude is < 5% of the current power, the time-space fluctuation of the regional power grid is classified as short-time-space fluctuation; when the time-space fluctuation time length is less than or equal to 30 minutes and less than 90 minutes or 180 minutes and less than or equal to the time-space fluctuation time length and less than 210 minutes, and the fluctuation amplitude degree of the current power is less than or equal to 5% and less than 10% of the current power, classifying the time-space fluctuation of the regional power grid as medium time-space fluctuation; and when the time-space fluctuation duration is less than or equal to 90 minutes and less than or equal to 180 minutes, and the fluctuation amplitude degree of the current power is less than or equal to 10 percent, the time-space fluctuation of the regional power grid is classified as long time-space fluctuation.
In order to further improve the reliability of power balance control of the regional power grid, as shown in fig. 2, in an embodiment of the present application, the applying a pre-constructed new energy station economic optimization model and a new energy station group corresponding to the regional power grid in step 400, performing power balance control on the regional power grid includes:
Step 511: and determining a target new energy station selected from the new energy station group when the sum of the energy storage cost and the running cost in the full scheduling period is the lowest according to a pre-constructed new energy station economic optimization model.
Specifically, the number of target new energy stations can be preset according to actual needs, which is not limited in the application; and compared with other new energy stations with the same number, when the target new energy stations are applied to perform power balance control on the regional power grid, the sum of energy storage cost and the sum of operation cost in the full scheduling period are the lowest, and the target new energy stations all meet constraint conditions corresponding to the new energy station economic optimization model.
Step 512: and carrying out power balance control on the regional power grid by using the target new energy station.
In order to construct the reliability of the new energy station economic optimization model and further apply the reliable new energy station economic optimization model to save the cost of the power grid power balance control process, referring to fig. 3, in one embodiment of the present application, the step of constructing the new energy station economic optimization model includes:
Step 001: and constructing an economic optimization model of the new energy station according to the running cost of the new energy station and the energy storage cost of the service life loss of the battery.
Specifically, the new energy station is a new energy station configured to store energy.
Step 002: the optimizing target of the new energy station economic optimizing model is that the sum of energy storage cost and running cost in the whole dispatching period is the lowest; constraint conditions of the new energy station economic optimization model comprise: a power balance constraint, an energy storage state of charge constraint condition and a charge-discharge power constraint condition.
Specifically, the new energy station includes: an energy storage converter (energy conversion device) and a battery (energy storage battery).
The energy storage cost sum and the running cost sum of the new energy station in the full scheduling period are taken as the minimum optimizing target, and an economic optimizing model of the new energy station is provided; new energy station economic optimization model minC total The method comprises the following steps:
minC total =C sumbat +C sumgrid
C sumbat =C sys +C loss
C sumgrid =C buy +C togrid +C re_loss +C Dp_loss +C exchange
wherein C is total Representing the comprehensive cost of the new energy station in the operation period, C sumbat Representing energy storage costs considering battery life loss of new energy station, C sumgrid Representing the running cost of the new energy station; screening new energy stations in the new energy station group according to constraint conditions, and applying a new energy station economic optimization model to determine the lowest cost (including energy storage cost and operation cost) of each new energy station meeting the constraint conditions; and based on the lowest cost sorting from small to large, selecting a preset number of new energy stations from front to back as target new energy stations, sequentially calling the target new energy stations, and performing power balance control on the regional power grid until the regional power grid reaches power balance.
1) The initial investment cost (meta) C of the new energy station can be obtained according to the following formula sys
C sys =C bat +C PCS
C PCS =C P P rat
Wherein C is P Representing the unit price (meta/kW) of the energy conversion device, P rat Represents the rated power (kW) of the battery, C E Represents the unit price (meta/(kW.h)), eta of the battery itself b Representing conversion efficiency (%) of the new energy station; t represents rated discharge time (h) of the new energy station; c (C) bat Representing battery cost (yuan); c (C) PCS Is the initial investment cost (meta) of the energy conversion device.
2) The annual equivalent life loss cost C of the new energy station under the unit power can be obtained according to the following formula loss
Wherein the number of charge and discharge cycles of the battery in the full scheduling period is N T The battery life damage cost corresponding to each discharging cycle is C 1,j I denotes a certain period, the i-th period and the (i+1) -th period are adjacent, and N denotes the total number of periods.
3) The grid-connected electricity purchasing cost C of the new energy station can be obtained according to the following steps buy
Wherein i represents a certain period; n represents the total number of time periods; if the length of each period is set to be 1h, N can represent the total number of hours in the full scheduling period; e (E) buy,i C, purchasing electric quantity to the regional power grid through the grid connection point for the new energy station in the ith period price,i And the time-sharing electricity price of the regional power grid in the ith period is kW.h/unit.
4) When wind power and photovoltaic output in the new energy station cannot be completely consumed through an energy storage power station and a local scheduling instruction in the new energy station, the method comprises the following steps ofAnd transmitting power to the regional power grid through a power interconnecting line between the new energy station and the regional power grid. In order to promote the on-site consumption of renewable energy sources, the punishment cost generated by the feeding electric quantity is defined as the feeding punishment cost of the new energy station, and the feeding punishment cost C of the new energy station can be obtained according to the following formula togrid
c punish_togrid,i =λ 1 ·c price,i ,i=1,2,3,…,N
Wherein E is togrid,i Feeding the electric quantity of the regional power grid to the new energy station in the ith period; c punish_togrid,i For reference to time-of-use electricity price c price,i The unit of the formulated feeding punishment time-of-use electricity price is kW.h/yuan, lambda 1 To promote in-situ consumption of renewable energy sources, the profit obtained when a new energy station feeds a regional power grid needs to be reduced for punishment coefficients, thus presetting lambda 1 <0。
5) The cost C of the abandoned wind can be obtained according to the following re_loss
E re_loss,i =(P WT,i +P PV,i )·t-E togrid,i
c punish_reloss,i =λ 2 ·c price,i ,i=1,2,3,…,N
Wherein E is re_loss,i The total amount of the abandoned wind and the abandoned light is the ith period; p (P) WT,i Representing the wind power in the t period; representing the photovoltaic power P in the t period PV,i ;E togrid,i Feeding electric quantity to the regional power grid for the new energy station in the ith period; c punish_reloss,i To be the time-sharing electricity price c price,i The relevant punishment electricity price is in kW.h/yuan; lambda (lambda) 2 And punishment coefficients for wind abandon and light abandon are adopted.
6) In order to promote the autonomous level of the new energy station, the purpose of restraining the annual total exchange electric quantity is achieved by taking out-of-range parts in the exchange electric quantity into punishment cost; the total exchange electric quantity out-of-range penalty cost in the full scheduling period of the new energy station can be obtained by the following steps:
Wherein E is buy,i The method comprises the steps that electric quantity purchased from a regional power grid through a public connection point is used for a new energy station in an ith period; e (E) togrid,i Feeding the electric quantity of the regional power grid to the new energy station in the ith period; e (E) Dp,i Scheduling instruction electricity consumption for the ith period of the new energy station; c punish_exchange The unit of punishment electricity price for out-of-limit electric quantity is kW.h/yuan.
The following constraint conditions are considered when optimizing and solving the optimization target.
1) A power balance constraint.
Wherein P is WT,t Representing the wind power of the t period; p (P) PV,t Representing the photovoltaic power of the t-th period, P Dp,t For scheduling instruction values; by passing throughAnd->Indicating the charge-discharge state of the new energy station in the t-th period +.>The new energy station is subjected to a discharge process in the t period, and the discharge power is P dis,tIndicating that the new energy station is in a non-discharge stateThe new energy station may or may not perform charging and discharging at the moment; similarly->There are also only two states 1, 0, < >>The new energy station charges at the t period, and the charging power P is corresponding to the charging power P ch,t ;P grid,t And representing the power transmitted to the regional power grid by the new energy station in the period t.
2) And (5) energy storage operation constraint.
SOC value S of new energy station in t period OC (t) by S OC And (t-1), the charge and discharge amount of the new energy station in the t-1 time period to the t time period and the self-discharge rate of the battery in 1 hour. When the new energy stations respectively use the charging efficiency eta c And discharge efficiency eta d In charge and discharge, the SOC in the t period can be expressed as the following equation:
wherein σ represents the self-discharge rate, η of the battery c Representing charging efficiency of stored energy in a new energy station, P ch,t Represents the charging power of the stored energy in the new energy station, Δt represents a unit time (one period),representing the rated capacity of the stored energy in the new energy station. The limitation of the charge state of the new energy station should be considered to avoid the overcharge or overdischarge behavior of the battery in the period t, and the constraint conditions are as follows:
S OCmin ≤S OC (t)≤S OCmax
wherein S is OCmax Representing the upper limit value of the state of charge of an energy storage power station in a new energy station, S OCmin Is the state of charge lower limit.
Because the actual current of the new energy station cannot exceed the maximum value of the charging and discharging current, the charging power P of the energy storage power station in the new energy station in the t period ch,t And discharge power P dis,t There are constraints as follows:
wherein,the charging power upper limit of the new energy station in the t period is set;And the upper limit of the discharge power of the new energy station in the t period is set.
In one embodiment of the present application, the grid operation data includes: current power, fluctuation amplitude degree and time-space fluctuation duration; correspondingly, step 200 comprises:
Step 201: and determining the time-space fluctuation classification of the regional power grid according to the current power, the fluctuation amplitude degree and the time-space fluctuation duration.
Specifically, whether the fluctuation amplitude degree of the regional power grid is smaller than the preset ratio lower limit corresponding to the current power is judged, if yes, the space-time fluctuation classification is determined to be short-time space-time fluctuation classification, otherwise, whether the fluctuation amplitude degree of the regional power grid is larger than the preset ratio upper limit corresponding to the current power is judged, if yes, the space-time fluctuation classification is determined to be long-time space-time fluctuation classification, and otherwise, the space-time fluctuation classification is determined to be medium-time space-time fluctuation classification.
To further improve the accuracy of determining the set of independent energy storage power stations, in one embodiment of the present application, step 300 includes:
step 301: if the space-time fluctuation classification is short-time space fluctuation classification, determining an independent energy storage power station group formed by all small independent energy storage power stations as the independent energy storage power station group to be processed;
the method comprises the steps of selecting a small-sized independent energy storage power station with high response time and high precision, and carrying out power stabilization on short-sized air-scale power disturbance. And the regional power grid extracts the disturbance quantity and the duration of the short-time air scale in real time, and the energy storage power station receives the dispatching control instruction and controls the energy storage power station to stabilize the charge and discharge power according to the disturbance quantity. For medium-length space-time scale power disturbance and time length of a peak shifting layer, the optimal dispatching and stabilizing should be integrated according to regional power grid economy and operation performance due to large disturbance quantity amplitude and slow speed change. According to the index limit value issued by the regional power grid, the energy storage resources in the regional power grid are regulated and controlled in real time by combining the running state and disturbance condition of the regional power grid, and the power disturbance is absorbed through the comprehensive optimization principle.
Step 302: if the space-time fluctuation is classified into medium space-time fluctuation classification, determining an independent energy storage power station group formed by all medium-sized independent energy storage power stations as the independent energy storage power station group to be processed;
step 303: and if the space-time fluctuation classification is long space-time fluctuation classification, determining an independent energy storage power station group formed by all large independent energy storage power stations as the independent energy storage power station group to be processed.
The independent battery energy storage power stations are mainly used for power disturbance elimination stabilization of long time-space scale, and the power of the large energy storage power stations is replaced (new batteries), so that the large energy storage power stations have enough capacity and power stabilization burstiness and large fluctuation equal time-space scale disturbance, and are reserved for standby due to strong response capacity, the independent battery energy storage power stations pass time replacement strategies and control precision margin strategies of the ladder, and the large energy storage power stations are subjected to power coordination replacement.
As can be seen from the above description, in this embodiment, in order to meet the requirements of different scene working conditions of the regional power grid, corresponding indexes according to the characteristics of the regional power grid are given to different time-space scales, and a) a short-time space-scale power disturbance value and duration are constraint indexes of the short-time space-scale power disturbance value of the regional power grid, and are boundary conditions with fast power response speed and short response time in control and regulation capability; b) The power climbing response speed of the mesospace-time scale limits the index of the power change speed on the control and regulation capability, and the boundary condition of high power response speed and long response time on the control and regulation capability; c) The power response speed of regional power grid load on the long time-space scale is high, and the response time is long (comprising maximum peak value and maximum valley value) boundary condition. Firstly, a regional power grid must be provided with acquisition equipment with higher sampling rate, node power is acquired and refreshed at high speed in real time, when power fluctuation exceeds the assumed fluctuation rate of the current power, the system starts short-time air fluctuation stabilizing prefabrication and screening of an optimal energy storage power station, and power distribution to a small-sized independent energy storage power station is started; when the power fluctuation exceeds the short-time space fluctuation limit, starting the prefabricated and screened optimal medium-sized energy storage power station by the system, and stabilizing the medium-time space fluctuation; when the power fluctuation exceeds the limit of the medium space-time fluctuation, the system starts to start the prefabricated and screened optimal large energy storage power station, and the long space-time fluctuation is stabilized.
To further improve the accuracy of the classification of the independent energy storage power station, in one embodiment of the present application, before step 301, the method further includes:
step 031: acquiring the power capacity of a plurality of independent energy storage power stations;
step 032: and dividing the independent energy storage power stations into small-sized independent energy storage power stations, medium-sized independent energy storage power stations and large-sized independent energy storage power stations according to the power capacity of each independent energy storage power station.
Specifically, the independent energy storage power stations may be classified according to their power capacities; in one example, the correspondence between the power capacity of a new battery energy storage power station in an independent energy storage power station and the class of energy storage power stations is shown in table 2; meanwhile, the corresponding capacity performance and power performance division conditions are provided, and the division is performed according to the grid-connected point outlet voltage level of the energy storage power station to distinguish the control major priority class and the like. The capacity performance of the new battery energy storage power station only considers the condition of attenuation to 80 percent, and the attenuation to less than 80 percent is suitable for operation in a echelon by using the battery energy storage working condition.
TABLE 2
The correspondence between the power capacity of the cascade utilization energy storage power stations in the independent energy storage power stations and the classification of the energy storage power stations is shown in table 3; the rated capacity is rechecked according to the capacity of the battery (attenuated to below 80%) which is utilized in a gradient manner, the power capacity of the energy storage power station is classified according to the proportion of 100%, the corresponding capacity performance and the power performance classification condition are given, and meanwhile, the power capacity is classified according to the grid-connected point outlet voltage level of the energy storage power station to distinguish the controlled large priority class and the like. The cascade utilization energy storage power station considers the case that the battery capacity is attenuated to be less than 80%, but the rated capacity is rechecked to be 100% of the capacity according to the attenuated capacity, and the lower rated capacity operation of the cascade utilization battery energy storage power station is performed, and when the attenuation is again reduced to be less than 80% of the existing rated capacity, the continuous operation is not considered.
TABLE 3 Table 3
In order to improve accuracy of determining the target independent energy storage power station, referring to fig. 4, in an embodiment of the present application, the applying the to-be-processed independent energy storage power station set in step 400, adjusting power of the regional power grid includes:
step 421: acquiring respective energy storage power station types, charge and discharge states, current charge states, discharge power, charge and discharge response time and physical distances between the respective energy storage power stations in the independent energy storage power station group and grid connection points of the regional power grid;
step 422: selecting a target independent energy storage power station from the independent energy storage power station group to be processed according to the respective charge and discharge state, the current charge state, the discharge power, the charge and discharge response time and the physical distance between the target independent energy storage power station and the grid connection point of the regional power grid;
step 423: and sequencing the target independent energy storage power stations according to the types and the current charge states of the energy storage power stations, and sequentially calling the target independent energy storage power stations to perform power balance control on the regional power grid until the regional power grid reaches power balance or each target independent energy storage power station is called.
Specifically, the energy storage power station types include: a new battery energy storage power station and a cascade utilization energy storage power station; and acquiring the physical distance between each independent energy storage power station in the energy storage power station group and the grid connection point of the regional power grid, and selecting an independent energy storage power station with the physical distance smaller than a physical distance threshold value, the charge and discharge state being the discharge state, the current charge state belonging to a charge state threshold value interval, the discharge power belonging to a discharge power threshold value interval and the charge and discharge response time belonging to a charge and discharge response time threshold value interval as a target independent energy storage power station. For example, the state of charge threshold interval is 15% -35%, the discharge power threshold interval is 80% -85%, and the charge-discharge response time threshold interval is <0.5s.
Specifically, the small-sized independent energy storage power station and the medium-sized independent energy storage power station are both new battery energy storage power stations; the large independent energy storage power station comprises: a new battery energy storage power station and a cascade utilization energy storage power station; correspondingly, the selecting a target independent energy storage power station from the to-be-processed independent energy storage power station group according to the respective charge and discharge state, the current charge state, the discharge power, the charge and discharge response time and the physical distance between the to-be-processed independent energy storage power station group and the grid connection point of the regional power grid comprises the following steps: dividing each independent energy storage power station into a new battery energy storage power station group and a echelon utilization energy storage power station group according to the type of the energy storage power station; when the method is used, a new battery energy storage power station group is called firstly, and then the echelon utilization energy storage power station group is called; and sequencing in the two groups according to the charge states from large to small to obtain sequencing results of each target independent energy storage power station.
Assuming that the current power is P (h), h=1, 2,3,4,5, t is the time interval 1s; one second is divided into five minutes, 200ms each, one power point is calculated every 200ms (ten cycles), five power points are calculated every second, and the five power values of one second are averaged to perform power detection calculation. And (3) carrying out real-time monitoring, when the prefabricated value of the fluctuation value is reached, sequencing the capacity, the physical distance of the grid-connected voltage level, the current chargeable power, the response characteristic, the precision and other high-low conditions according to the dynamic operation state of each energy storage power station, and preferentially responding to the energy storage power station with the comprehensive optimal value so as to respond in time to meet the requirement of stabilizing the power fluctuation and meet the requirement of new energy consumption capacity of the regional power grid and the safe operation of the regional power grid.
In one example, the correspondence between the current state, the charge and discharge state, the state of charge, the power availability and the charge and discharge duration of a new battery energy storage power station in the independent energy storage power station is shown in table 4, and in another example, the correspondence between the current state, the charge and discharge state, the state of charge, the power availability and the charge and discharge duration of a cascade utilization battery energy storage power station in the independent energy storage power station is shown in table 5; table 4 shows the state conditions of the new battery energy storage power station, mainly including the charge and discharge state, SOC state and value classification, power available state and classification value, calculated chargeable and dischargeable duration, and the like, and the operation SOC of the new battery energy storage power station only considers 15% -90% of the operation conditions. Table 5 shows the refinement characteristics of the cascade utilization energy storage battery energy storage power station, and the running state of the cascade utilization energy storage battery energy storage power station is only considered to be 35% -75%.
TABLE 4 Table 4
TABLE 5
Table 6 shows the charge-discharge response characteristics of the new battery energy storage power station, mainly including the charge-discharge response time, the charge-discharge conversion time, the discharge-charge conversion time, and the power control accuracy of the energy storage power station. Table 7 shows the charge-discharge response characteristics of the battery energy storage power station used in cascade.
TABLE 6
TABLE 7
As can be seen from the above description, the power balance control method for the power grid provided by the embodiment can improve accuracy of determining the target independent energy storage power station; in particular, under a long time-space scale, when the new battery energy storage power station reaches full power and cannot perform power adjustment, the power is replaced by utilizing the energy storage power station in a gradient manner, so that the adjustment margin of the new battery can be ensured, and at least half of the power margin can be replaced.
For further explanation of the present solution, referring to fig. 6, the present application provides an application example of a power grid power balance control method, which is specifically described as follows:
collecting regional power grid operation data in real time; calculating space-time scale and disturbance amplitude, and looking up a table to distinguish corresponding space-time fluctuation conditions; judging the power fluctuation space-time condition, and classifying and judging short, medium and long space-time fluctuation; distributing small independent energy storage power stations for short-time space fluctuation priority table lookup, medium-sized independent energy storage power stations for medium-time space fluctuation priority table lookup, and large independent energy storage power stations for long-time space fluctuation priority table lookup; screening whether the charge and discharge power and charge and discharge time of the distributed independent energy storage power stations meet the current fluctuation rate or not according to the current space-time fluctuation condition, and confirming screening results; for the current space-time fluctuation condition, selecting a better energy storage power station with good response characteristic and high power precision for stabilizing in the screened independent energy storage power station, and selecting the better energy storage power station with good response characteristic and high power precision when the current energy storage power station is insufficient in stabilizing power, and so on; the energy storage power stations related to the echelon utilization of the batteries are mainly used for stabilizing the power disturbance of the long time-space scale, and the echelon utilization of the batteries is used for carrying out power coordination replacement on the independent energy storage power stations through a time replacement strategy, a control precision margin strategy and a (new battery) large energy storage power station; for current fluctuation stabilization, when all independent energy storage power stations are insufficient to be stabilized, the new energy stations for configuring energy storage are required to be subjected to economic screening classification, and response stabilization is carried out.
In order to improve accuracy and efficiency of power balance control of a power grid in terms of software, further ensure stable operation of the power grid, and reduce cost of power balance control of the power grid at the same time, the present application provides an embodiment of a power balance control device of the power grid for implementing all or part of the content in the power balance control method of the power grid, referring to fig. 7, where the power balance control device of the power grid specifically includes:
the acquisition module 01 is used for acquiring power grid operation data of the regional power grid;
the determining module 02 is configured to determine, according to the power grid operation data, an independent energy storage power station group to be processed from multiple independent energy storage power station groups corresponding to the regional power grid;
the power balance control module 03 is configured to apply the to-be-processed independent energy storage power station group, adjust power of the regional power grid, determine whether the adjusted power of the regional power grid exceeds a preset power fluctuation range, if yes, apply a pre-built new energy station economic optimization model and a new energy station group corresponding to the regional power grid, and perform power balance control on the regional power grid.
In one embodiment of the present application, the determining module includes:
The first determining unit is used for determining the space-time fluctuation classification of the regional power grid according to the power grid operation data;
and the second determining unit is used for determining independent energy storage power station groups to be processed from multiple independent energy storage power station groups corresponding to the regional power grid according to the space-time fluctuation classification.
In one embodiment of the present application, the power balance control module includes:
the selection unit is used for determining a target new energy station selected from the new energy station group when the sum of energy storage cost and operation cost in a full scheduling period is the lowest according to a pre-constructed new energy station economic optimization model;
and the balance control unit is used for carrying out power balance control on the regional power grid by applying the target new energy station.
In one embodiment of the present application, the grid operation data includes: current power, fluctuation amplitude degree and time-space fluctuation duration; correspondingly, the first determining unit includes:
and the space-time fluctuation classification subunit is used for determining the space-time fluctuation classification of the regional power grid according to the current power, the fluctuation amplitude degree and the space-time fluctuation duration.
In one embodiment of the present application, the second determining unit includes:
The first determining subunit is used for determining an independent energy storage power station group formed by all small independent energy storage power stations as the independent energy storage power station group to be processed if the space-time fluctuation classification is a short-time space fluctuation classification;
the second determining subunit is used for determining an independent energy storage power station group formed by all medium-sized independent energy storage power stations as the independent energy storage power station group to be processed if the space-time fluctuation is classified into medium-sized space-time fluctuation classification;
and the third determination subunit is used for determining the independent energy storage power station group formed by all the large independent energy storage power stations as the independent energy storage power station group to be processed if the space-time fluctuation classification is long space-time fluctuation classification.
The embodiment of the power grid power balance control device provided in the present disclosure may be specifically used to execute the process flow of the embodiment of the power grid power balance control method, and the functions thereof are not described herein again, and may refer to the detailed description of the embodiment of the power grid power balance control method.
To further illustrate the present solution, the present application provides an embodiment of an energy storage power station cluster, in this embodiment, the energy storage power station cluster includes: the new energy station group and the independent energy storage power station group; the new energy station group includes: a plurality of new energy stations, the independent energy storage power station group comprising: a plurality of independent energy storage power stations; each independent energy storage power station and the new energy field station are connected through a node transformer.
Specifically, referring to fig. 8, the regional power grid may include the energy storage power station cluster, and the independent energy storage power stations and the new energy stations configured for energy storage in the energy storage power station cluster may be connected in a grid-connected manner at different voltage levels (e.g., 500kV, 220kV, 110kV, 35 kV), and the independent energy storage power stations and the new energy stations configured for energy storage are all arranged at different voltage levels; the scale of the regional power grid is similar to that of the commercial power grid; 35kV means that the voltage of a grid-connected point of the energy storage power station is 35kV, then the voltage is boosted to a 220kV collecting station, then the voltage is boosted to a 500kV collecting station, and a load is sent out from a regional power grid; 110kV means that the voltage of a grid-connected point of the energy storage power station is 110kV, then the voltage is boosted to a 220kV collecting station, then the voltage is boosted to a 500kV collecting station, and a load is sent out from a regional power grid; 220kV means that the voltage of the grid connection point of the energy storage power station is 220kV, then the voltage is boosted to a 500kV collecting station, a load is sent out from a regional power grid, and the arrow direction in FIG. 8 represents power flow.
The new energy station has the advantages of high charge and discharge efficiency, high response speed and the like, and can effectively realize dynamic migration of power and energy in a time domain; the node transformer of the regional power grid is an important grid connection point for accessing the main power grid; the energy storage power station in the regional power grid and the new energy station for configuring energy storage can be utilized, the power of the node transformer is stabilized by multi-time space scale disturbance according to the requirement of the main power grid, and the regional power grid becomes an intelligent region with autonomy, adjustability and controllability; the multi-level reasonable sharing and orderly stabilization of regional power grids, independent coordination control of each power station in a layered and partitioned mode and power disturbance can be realized. And ensuring the safe and stable operation of the power grid in the novel power system.
As can be seen from the above description, the power grid power balance control method and device and the energy storage power station cluster provided by the application can improve the accuracy and efficiency of power grid power balance control, further can ensure the stable operation of the power grid, and can reduce the cost of power grid power balance control; the method has the advantages that the power fluctuation of the regional power grid can be balanced and stabilized by fully utilizing the performance characteristics of energy storage of each type (including a new battery energy storage power station and a gradient utilization battery energy storage power station) while the safe and stable operation of the regional power grid is ensured, the performance characteristics and the optimal economic cost of the independent energy storage power station, the performance characteristics of the new energy station for configuring (including the new battery and the gradient utilization battery) energy storage can be comprehensively combined, the reasonable operation plan and the characteristic indexes of the energy storage power station in the region are determined through global optimization, the energy storage power station receives the given index parameters of the regional power grid, controllable and adjustable resources such as the energy storage in the region are excavated, the power of the energy storage power station can be adjusted in real time under the condition of ensuring the economic and safe power supply of the regional power grid, the index limit value and different scenes are met, the application scene is wide, and active support can be provided for the actual production of the regional power grid.
In order to improve accuracy and efficiency of power grid power balance control and further ensure stable operation of a power grid and reduce cost of power grid power balance control, the embodiment of the electronic device for implementing all or part of contents in the power grid power balance control method specifically includes the following contents:
A processor (processor), a memory (memory), a communication interface (Communications Interface), and a bus; the processor, the memory and the communication interface complete communication with each other through the bus; the communication interface is used for realizing information transmission between the power grid power balance control device and related equipment such as a user terminal; the electronic device may be a desktop computer, a tablet computer, a mobile terminal, etc., and the embodiment is not limited thereto. In this embodiment, the electronic device may be implemented with reference to an embodiment for implementing the power grid power balance control method and an embodiment for implementing the power grid power balance control device according to the embodiments, and the contents of the embodiments are incorporated herein, and the repetition is omitted.
Fig. 9 is a schematic block diagram of a system configuration of an electronic device 9600 of an embodiment of the present application. As shown in fig. 9, the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. Notably, this fig. 9 is exemplary; other types of structures may also be used in addition to or in place of the structures to implement telecommunications functions or other functions.
In one or more embodiments of the present application, the grid power balance control function may be integrated into the central processor 9100. The central processor 9100 may be configured to perform the following control:
step 100: and acquiring power grid operation data of the regional power grid.
Step 200: and determining an independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the power grid operation data.
Step 300: and adjusting the power of the regional power grid by using the independent energy storage power station group to be processed, judging whether the adjusted power of the regional power grid exceeds a preset power fluctuation range, and if so, performing power balance control on the regional power grid by using a new energy station economic optimization model built in advance and a new energy station group corresponding to the regional power grid.
From the above description, the electronic device provided by the embodiment of the application can improve the accuracy and efficiency of power balance control of the power grid, further ensure stable operation of the power grid, and reduce the cost of power balance control of the power grid.
In another embodiment, the power grid power balance control device may be configured separately from the central processor 9100, for example, the power grid power balance control device may be configured as a chip connected to the central processor 9100, and the power grid power balance control function is implemented by the control of the central processor.
As shown in fig. 9, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is noted that the electronic device 9600 need not include all of the components shown in fig. 9; in addition, the electronic device 9600 may further include components not shown in fig. 9, and reference may be made to the related art.
As shown in fig. 9, the central processor 9100, sometimes referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, which central processor 9100 receives inputs and controls the operation of the various components of the electronic device 9600.
The memory 9140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information about failure may be stored, and a program for executing the information may be stored. And the central processor 9100 can execute the program stored in the memory 9140 to realize information storage or processing, and the like.
The input unit 9120 provides input to the central processor 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, but not limited to, an LCD display.
The memory 9140 may be a solid state memory such as Read Only Memory (ROM), random Access Memory (RAM), SIM card, etc. But also a memory which holds information even when powered down, can be selectively erased and provided with further data, an example of which is sometimes referred to as EPROM or the like. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application/function storage portion 9142, the application/function storage portion 9142 storing application programs and function programs or a flow for executing operations of the electronic device 9600 by the central processor 9100.
The memory 9140 may also include a data store 9143, the data store 9143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by an electronic device. The driver storage portion 9144 of the memory 9140 may include various drivers of the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, address book applications, etc.).
The communication module 9110 is a transmitter/receiver 9110 that transmits and receives signals via an antenna 9111. A communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, as in the case of conventional mobile communication terminals.
Based on different communication technologies, a plurality of communication modules 9110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, etc., may be provided in the same electronic device. The communication module (transmitter/receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and to receive audio input from the microphone 9132 to implement usual telecommunications functions. The audio processor 9130 can include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100 so that sound can be recorded locally through the microphone 9132 and sound stored locally can be played through the speaker 9131.
As can be seen from the above description, the electronic device provided by the embodiment of the present application can improve accuracy and efficiency of power grid power balance control, further ensure stable operation of the power grid, and reduce cost of power grid power balance control.
The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps of the power grid power balance control method in the above embodiments, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program implements all the steps of the power grid power balance control method in the above embodiments, for example, the processor implements the following steps when executing the computer program:
Step 100: acquiring power grid operation data of a regional power grid;
step 200: determining an independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the power grid operation data;
step 300: and adjusting the power of the regional power grid by using the independent energy storage power station group to be processed, judging whether the adjusted power of the regional power grid exceeds a preset power fluctuation range, and if so, performing power balance control on the regional power grid by using a new energy station economic optimization model built in advance and a new energy station group corresponding to the regional power grid.
As can be seen from the above description, the computer readable storage medium provided by the embodiments of the present application can improve accuracy and efficiency of power grid power balance control, further ensure stable operation of a power grid, and reduce cost of power grid power balance control.
All embodiments of the method are described in a progressive manner, and identical and similar parts of all embodiments are mutually referred to, and each embodiment mainly describes differences from other embodiments. For relevance, see the description of the method embodiments.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principles and embodiments of the present application are described herein with reference to specific examples, the description of which is only for the purpose of aiding in the understanding of the methods of the present application and the core ideas thereof; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims (12)

1. A power grid power balance control method, comprising:
acquiring power grid operation data of a regional power grid;
determining an independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the power grid operation data;
adjusting the power of the regional power grid by using the independent energy storage power station group to be processed, judging whether the adjusted power of the regional power grid exceeds a preset power fluctuation range, if so, performing power balance control on the regional power grid by using a new energy station economic optimization model built in advance and a new energy station group corresponding to the regional power grid; and determining an independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the power grid operation data, wherein the method comprises the following steps of:
according to the power grid operation data, determining the space-time fluctuation classification of the regional power grid;
according to the time-space fluctuation classification, determining an independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid;
the step of determining the independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the space-time fluctuation classification comprises the following steps:
If the space-time fluctuation classification is short-time space fluctuation classification, determining an independent energy storage power station group formed by all small independent energy storage power stations as the independent energy storage power station group to be processed;
if the space-time fluctuation is classified into medium space-time fluctuation classification, determining an independent energy storage power station group formed by all medium-sized independent energy storage power stations as the independent energy storage power station group to be processed;
and if the space-time fluctuation classification is long space-time fluctuation classification, determining an independent energy storage power station group formed by all large independent energy storage power stations as the independent energy storage power station group to be processed.
2. The power grid power balance control method according to claim 1, wherein the applying the pre-constructed new energy station economic optimization model and the new energy station group corresponding to the regional power grid to perform power balance control on the regional power grid includes:
determining a target new energy station selected from the new energy station group when the sum of energy storage cost and running cost in a full scheduling period is lowest according to a pre-constructed new energy station economic optimization model;
and carrying out power balance control on the regional power grid by using the target new energy station.
3. The power grid power balance control method of claim 1, wherein the step of constructing the new energy station economic optimization model comprises:
constructing an economic optimization model of the new energy station according to the running cost and the energy storage cost of life loss of the new energy station;
the optimizing target of the new energy station economic optimizing model is that the sum of energy storage cost and running cost in the whole dispatching period is the lowest; constraint conditions of the new energy station economic optimization model comprise: a power balance constraint, an energy storage state of charge constraint condition and a charge-discharge power constraint condition.
4. The power grid power balance control method of claim 1, wherein the power grid operation data comprises: current power, fluctuation amplitude degree and time-space fluctuation duration;
correspondingly, the determining the space-time fluctuation classification of the regional power grid according to the power grid operation data comprises the following steps:
and determining the time-space fluctuation classification of the regional power grid according to the current power, the fluctuation amplitude degree and the time-space fluctuation duration.
5. The power grid power balance control method of claim 1, further comprising:
Acquiring the power capacity of a plurality of independent energy storage power stations;
and dividing the independent energy storage power stations into small-sized independent energy storage power stations, medium-sized independent energy storage power stations and large-sized independent energy storage power stations according to the power capacity of each independent energy storage power station.
6. The power grid power balance control method according to claim 1, wherein said applying the set of independent energy storage power stations to be processed to adjust the power of the regional power grid comprises:
acquiring respective energy storage power station types, charge and discharge states, current charge states, discharge power, charge and discharge response time and physical distances between the respective energy storage power stations in the independent energy storage power station group and grid connection points of the regional power grid;
selecting a target independent energy storage power station from the independent energy storage power station group to be processed according to the respective charge and discharge state, the current charge state, the discharge power, the charge and discharge response time and the physical distance between the target independent energy storage power station and the grid connection point of the regional power grid;
and sequencing the target independent energy storage power stations according to the types and the current charge states of the energy storage power stations, and sequentially calling the target independent energy storage power stations to perform power balance control on the regional power grid until the regional power grid reaches power balance or each target independent energy storage power station is called.
7. A power grid power balance control device, comprising:
the acquisition module is used for acquiring power grid operation data of the regional power grid;
the determining module is used for determining independent energy storage power station groups to be processed from multiple independent energy storage power station groups corresponding to the regional power grid according to the power grid operation data;
the power balance control module is used for adjusting the power of the regional power grid by applying the independent energy storage power station group to be processed, judging whether the adjusted power of the regional power grid exceeds a preset power fluctuation range, if so, applying a pre-built new energy station economic optimization model and a new energy station group corresponding to the regional power grid to perform power balance control on the regional power grid;
the determining module includes:
the first determining unit is used for determining the space-time fluctuation classification of the regional power grid according to the power grid operation data;
the second determining unit is used for determining independent energy storage power station groups to be processed from multiple independent energy storage power station groups corresponding to the regional power grid according to the space-time fluctuation classification;
the second determination unit includes:
the first determining subunit is used for determining an independent energy storage power station group formed by all small independent energy storage power stations as the independent energy storage power station group to be processed if the space-time fluctuation classification is a short-time space fluctuation classification;
The second determining subunit is used for determining an independent energy storage power station group formed by all medium-sized independent energy storage power stations as the independent energy storage power station group to be processed if the space-time fluctuation is classified into medium-sized space-time fluctuation classification;
and the third determination subunit is used for determining the independent energy storage power station group formed by all the large independent energy storage power stations as the independent energy storage power station group to be processed if the space-time fluctuation classification is long space-time fluctuation classification.
8. The power grid power balance control device of claim 7, wherein the power balance control module comprises:
the selection unit is used for determining a target new energy station selected from the new energy station group when the sum of energy storage cost and operation cost in a full scheduling period is the lowest according to a pre-constructed new energy station economic optimization model;
and the balance control unit is used for carrying out power balance control on the regional power grid by applying the target new energy station.
9. The power grid power balance control device of claim 7, wherein the power grid operational data comprises: current power, fluctuation amplitude degree and time-space fluctuation duration;
correspondingly, the first determining unit includes:
And the space-time fluctuation classification subunit is used for determining the space-time fluctuation classification of the regional power grid according to the current power, the fluctuation amplitude degree and the space-time fluctuation duration.
10. An energy storage power station cluster, comprising: a new energy field station group and an independent energy storage power station group according to any one of claims 1 to 6;
the new energy station group includes: a plurality of new energy stations, the independent energy storage power station group comprising: a plurality of independent energy storage power stations;
each independent energy storage power station and the new energy field station are connected through a node transformer.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the grid power balance control method according to any one of claims 1 to 6 when executing the program.
12. A computer readable storage medium having stored thereon computer instructions, which when executed by a processor, implement the grid power balance control method of any of claims 1 to 6.
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015070480A1 (en) * 2013-11-14 2015-05-21 国家电网公司 Method for managing energy of battery energy storage power station based on wind power prediction
CN107046290A (en) * 2017-03-17 2017-08-15 国网电力科学研究院武汉南瑞有限责任公司 A kind of polynary energy storage fusion method for improving regional power grid energy utilization rate
WO2018196433A1 (en) * 2017-04-24 2018-11-01 国家电网公司 Multi-type energy storage multi-level control method
CN110766240A (en) * 2019-11-19 2020-02-07 南京工程学院 Layered energy storage configuration method for rapid charging station in different scenes
CN112018798A (en) * 2020-08-29 2020-12-01 燕山大学 Multi-time scale autonomous operation method for power distribution network with regional energy storage station participating in disturbance stabilization
CN112510723A (en) * 2020-10-23 2021-03-16 南方电网调峰调频发电有限公司 Energy storage cluster regulation and control method and device, computer equipment and storage medium
CN112564135A (en) * 2020-12-22 2021-03-26 浙江大学 New energy and energy storage power station group frequency/voltage coordination control method and device
CN112688347A (en) * 2021-01-12 2021-04-20 国网上海市电力公司 System and method for smoothing load fluctuation of power grid
CN113507110A (en) * 2021-06-20 2021-10-15 东北电力大学 Distributed energy storage cluster optimization control method for improving new energy consumption in power distribution network

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015070480A1 (en) * 2013-11-14 2015-05-21 国家电网公司 Method for managing energy of battery energy storage power station based on wind power prediction
CN107046290A (en) * 2017-03-17 2017-08-15 国网电力科学研究院武汉南瑞有限责任公司 A kind of polynary energy storage fusion method for improving regional power grid energy utilization rate
WO2018196433A1 (en) * 2017-04-24 2018-11-01 国家电网公司 Multi-type energy storage multi-level control method
CN110766240A (en) * 2019-11-19 2020-02-07 南京工程学院 Layered energy storage configuration method for rapid charging station in different scenes
CN112018798A (en) * 2020-08-29 2020-12-01 燕山大学 Multi-time scale autonomous operation method for power distribution network with regional energy storage station participating in disturbance stabilization
CN112510723A (en) * 2020-10-23 2021-03-16 南方电网调峰调频发电有限公司 Energy storage cluster regulation and control method and device, computer equipment and storage medium
CN112564135A (en) * 2020-12-22 2021-03-26 浙江大学 New energy and energy storage power station group frequency/voltage coordination control method and device
CN112688347A (en) * 2021-01-12 2021-04-20 国网上海市电力公司 System and method for smoothing load fluctuation of power grid
CN113507110A (en) * 2021-06-20 2021-10-15 东北电力大学 Distributed energy storage cluster optimization control method for improving new energy consumption in power distribution network

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Research on Energy Storage Configuration Method Based on Wind and Solar Volatility;Shi Xuewei et al.;《2020 10th International Conference on Power and Energy Systems》;第464-468页 *
基于模型预测控制平抑光伏输出功率波动的储能充放电策略;戴瑞海;《智慧电力》;第47卷(第4期);第8-15页 *
考虑弃光损失的并网光伏电站储能容量配置方法;巩宇 等;《华北电力技术》(第10期);第33-37页 *

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