CN114362201A - 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

Info

Publication number
CN114362201A
CN114362201A CN202111644491.XA CN202111644491A CN114362201A CN 114362201 A CN114362201 A CN 114362201A CN 202111644491 A CN202111644491 A CN 202111644491A CN 114362201 A CN114362201 A CN 114362201A
Authority
CN
China
Prior art keywords
power
energy storage
station
grid
power grid
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202111644491.XA
Other languages
Chinese (zh)
Other versions
CN114362201B (en
Inventor
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
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
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
Original Assignee
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
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 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 filed Critical State Grid Jibei Zhangjiakou Fengguang Storage And Transmission New Energy Co ltd
Priority to CN202111644491.XA priority Critical patent/CN114362201B/en
Publication of CN114362201A publication Critical patent/CN114362201A/en
Application granted granted Critical
Publication of CN114362201B publication Critical patent/CN114362201B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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

Abstract

The application provides a power grid power balance control method, a 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 independent energy storage power station groups 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 to-be-processed independent energy storage power station group, 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 pre-constructed new energy station economic optimization model and a new energy station group corresponding to the regional power grid. According to the method and the device, the accuracy and the efficiency of power grid power balance control can be improved, so that the stable operation of a power grid can be ensured, and meanwhile, the cost of power grid power balance control can be reduced.

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
With the fact that the new energy power generation enters a large-scale application stage, a large amount of distributed wind and light new energy is gushed into a regional power grid. The random fluctuation of the new energy output causes severe power disturbance of the regional power grid, the voltage quality of the regional power grid is influenced, the operation pressure of the regional power grid is increased by conducting a large amount of disturbance to the main power grid, and meanwhile, the economic and safe operation of the regional power grid is seriously influenced by frequent power disturbance.
At present, the power disturbance of the regional power grid is usually balanced by peak shaving, frequency modulation and reserve capacity; however, as the new energy replaces the traditional energy, the inertia and the frequency modulation capability of the power grid are weakened, the frequency fluctuation caused by power disturbance is more obvious, the balance is realized only through peak regulation, frequency modulation and standby capacity, the reaction is slow, and the effect of power balance control of the power grid is poor.
Disclosure of Invention
Aiming at the problems in the prior art, the power grid power balance control method and device and the energy storage power station cluster are provided, so that the accuracy and efficiency of power grid power balance control can be improved, the stable operation of a power grid can be further ensured, and meanwhile, the cost of power grid power balance control can be reduced.
In order to solve the technical problem, the present application provides the following technical solutions:
in a first aspect, the present application provides a power balance control method for a power grid, including:
acquiring power grid operation data of a regional power grid;
determining independent energy storage power station groups 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 to-be-processed independent energy storage power station group, 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 pre-constructed new energy station economic optimization model 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:
determining the space-time fluctuation classification of the regional power grid according to the power grid operation data;
and according to the space-time 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.
Further, the applying a pre-established 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 includes:
according to a pre-constructed economic optimization model of the new energy station, when the sum of the energy storage cost and the running cost in the full scheduling period is determined to be the lowest, selecting a target new energy station from the new energy station group;
and performing power balance control on the regional power grid by using the target new energy station.
Further, the step of constructing the economic optimization model of the new energy station comprises the following steps:
constructing an economic optimization model of the new energy station according to the operation cost of the new energy station and the energy storage cost of the battery life loss;
the optimization target of the economic optimization model of the new energy station is that the sum of the energy storage cost and the running cost in the full scheduling period is the lowest; the constraint conditions of the economic optimization model of the new energy station comprise: power balance constraint, energy storage charge state constraint and charge and discharge power constraint.
Further, the grid operating 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 includes:
and 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 determining, according to the classification of the temporal-spatial fluctuation, 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:
if the space-time fluctuation classification is a short space-time fluctuation classification, determining an independent energy storage power station group consisting of 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 medium space-time fluctuation classification, determining an independent energy storage power station group consisting of all medium-sized independent energy storage power stations as the to-be-processed independent energy storage power station group;
and if the space-time fluctuation classification is a long-time space fluctuation classification, determining an independent energy storage power station group consisting of all large independent energy storage power stations as the to-be-processed independent energy storage power station group.
Further, the power balance control method of the power grid further includes:
acquiring power capacities of a plurality of independent energy storage power stations;
and dividing the independent energy storage power stations into small independent energy storage power stations, medium independent energy storage power stations and large independent energy storage power stations according to the power capacity of each independent energy storage power station.
Further, the applying the to-be-processed independent energy storage power station group to adjust the power of the regional power grid includes:
acquiring the type, the charging and discharging state, the current charge state, the discharging power, the charging and discharging response time and the physical distance from the grid-connected point of the regional power grid of each independent energy storage power station in the independent energy storage power station group;
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 from the grid-connected point of the regional power grid;
and sequencing the target independent energy storage power stations according to the types of the energy storage power stations and the current charge state, 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-scale independent energy storage power station comprises: a new battery energy storage power station and a echelon 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 of each independent energy storage power station and the physical distance from the grid-connected 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 the new battery 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 from the grid-connected point of the regional power grid;
sequencing echelon utilization energy storage power station groups by applying the charge-discharge state, the current charge state, the discharge power, the charge-discharge response time and the physical distance from a grid-connected 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 respective sequencing result thereof.
In a second aspect, the present application provides a power balance control device for a power grid, comprising:
the acquisition module is used for acquiring power grid operation data of a regional power grid;
the determining module is used for determining the independent energy storage power station groups to be processed from the 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 to-be-processed independent energy storage power station group, 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-constructed 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 the independent energy storage power station groups 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.
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 the energy storage cost and the running cost in the full scheduling period is the lowest according to a pre-constructed economic optimization model of the new energy station;
and the balance control unit is used for applying the target new energy station to carry out power balance control on the regional power grid.
Further, the grid operating 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 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 to-be-processed independent energy storage power station group if the space-time fluctuation classification is a short space-time 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 to-be-processed independent energy storage power station group if the space-time fluctuation classification is a medium space-time fluctuation classification;
and the third determining subunit is used for determining an independent energy storage power station group formed by all large independent energy storage power stations as the to-be-processed independent energy storage power station group if the space-time fluctuation classification is a long-time space 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 comprises: a plurality of new energy stations, the independent energy storage power station group including: a plurality of independent energy storage power stations; and each independent energy storage power station and each new energy 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 in the memory and executable on the processor, wherein 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 power balance control method and device for the power grid and the energy storage power station cluster are provided. Wherein, the method comprises the following steps: acquiring power grid operation data of a regional power grid; determining independent energy storage power station groups 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; the power of the regional power grid is adjusted by applying the to-be-processed independent energy storage power station group, whether the adjusted power of the regional power grid exceeds a preset power fluctuation range or not is judged, if yes, a pre-constructed new energy station economic optimization model and a new energy station group corresponding to the regional power grid are applied, and power balance control is performed on the regional power grid, so that the accuracy and efficiency of power balance control of the power grid can be improved, stable operation of the power grid can be further ensured, and meanwhile, the cost of power balance control of the power grid can be reduced; specifically, power disturbance can be reasonably shared and orderly absorbed at each level in the regional power grid; the performance difference of the independent energy storage power stations and the economy of the new energy field station can be considered, the performance and the economy are combined, the power fluctuation of the regional power grid is balanced and stabilized by fully utilizing the performance characteristics of various types of energy storage while the safe and stable operation of the regional power grid is guaranteed, the performance characteristics and the optimal economic cost of the independent energy storage power stations and the new energy field station for energy storage can be integrated, a 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 index parameters given by the regional power grid, the controllable and adjustable resources such as energy storage in the region are excavated, the power of the energy storage power stations can be adjusted in real time to meet index limit values and different scenes under the condition that the economic and safe power supply of the regional power grid is guaranteed, the application scenes are 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 with the configured energy storage can be comprehensively evaluated, the safe operation of a power grid can be guaranteed while the consumption of new energy 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 used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a power balance control method of a power grid in an embodiment of the present application;
fig. 2 is a schematic flowchart of steps 511 and 512 of the grid power balance control method in the embodiment of the present application;
FIG. 3 is a schematic flow chart of steps 001 and 002 of the grid power balance control method in the embodiment of the present application;
fig. 4 is a schematic flowchart of step 421 and step 423 of the grid power balance control method in the embodiment of the present application;
FIG. 5 is a graphical illustration of the volatility limit as a function of duration of wave motion in one example of the present application;
FIG. 6 is a schematic flow chart of a power balance control method of a power grid in an application example of the present application;
fig. 7 is a schematic structural diagram of a power balance control device of a power grid in an embodiment of the present application;
FIG. 8 is a schematic logic diagram of a regional power grid in one example of the subject 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 make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
To facilitate understanding of the present solution, technical contents related to the present solution will be described first.
State of Charge (SOC) is used to reflect the remaining capacity of the battery, and is numerically defined as the ratio of the remaining capacity to the battery capacity, and is usually expressed as a percentage. The value range of the battery charging indicator is 0-1, when the SOC is 0, the battery is completely discharged, and when the SOC is 1, the battery is completely charged.
In order to solve 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, conditions such as disturbance absorption capacity and controllable and adjustable space of a region are considered, 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 regional power grid, controllable and adjustable equipment resources such as storage load in the region are mined, under the condition that the economic and safe power supply of the regional power grid is guaranteed, node power is adjusted in real time to meet index limit values so as to meet operation modes under different scenes, and optimization of section stabilizing control of the regional power grid 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 the energy storage can be composed of a wind power plant 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 a wind power plant, a photovoltaic power station and an 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 which is used in a gradient manner.
The regional power grid power disturbance is divided into three space-time scales, namely a short space-time scale, a medium space-time scale and a long space-time scale, the three space-time scales are adaptive and deeply matched with an energy storage power station in the regional power grid according to the disturbance characteristics, specific boundary set values are configured differently according to specific conditions of the regional power grid and mainly depend on the power control period and the power grid framework of the regional power grid, different space-time scales trigger different control periods, and the regional power grid can respectively realize the self-discipline adaptive characteristics on different space-time scales to carry out deep learning so as to adapt to the requirements of different response adjusting scenes of the regional power grid.
In consideration of the calling frequency and the 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 the adjustment tool for participating in autonomous operation of the regional power grid. In order to realize the economic calling of a regional power grid, the independent energy storage power station is called preferentially to perform charging and discharging operation, when the independent energy storage power station is not enough to be adjusted, the new energy station for configuring energy storage is called, the calling level is further determined, the new energy station for configuring energy storage takes the economic performance as the priority, and the adjustment is performed by integrating the response characteristics.
And configuring an optimal economic operation model of the energy storage new energy station, comprehensively considering the energy storage cost of battery life loss 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 mainly comprises two parameters of maximum deviation and steady-state deviation of the frequency. The larger the disturbance amplitude is, the larger the maximum deviation and the steady-state deviation of the frequency are under the condition of certain inertia of the regional power grid. The maximum deviation of the frequency value of the regional power grid and the allowable value of the static deviation are assumed, and the maximum tolerable 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 change of the power supply in the regional power grid cannot exceed the limit value, and the exceeding part is automatically consumed and processed by the interior of the regional power grid, so that the space-time scale power fluctuation disturbance quantity can bear the power disturbance to the maximum extent in the regional power grid to carry out load constraint in the regional power grid.
In consideration of the calling frequency and the flexible difference of the independent energy storage power station and the new energy station configured with energy storage, the energy storage power station and the new energy station configured with energy storage can be used as a tool for controlling, operating and adjusting the medium-time and empty size of the participating regional power grid. The method comprises the steps of respectively planning space-time fluctuation in a classified mode, judging a space-time fluctuation power stabilizing strategy by fluctuation limitation, adaptively sequencing corresponding energy storage power stations to perform response stabilization when different upper limits are triggered (sequencing according to the dynamic operation state of each energy storage power station under the conditions of capacity, physical distance of grid-connected voltage levels, current chargeable and dischargeable power, response characteristics, precision and the like, and preferentially responding to the comprehensively optimal energy storage power station), and starting a prefabricated and screened optimal new energy source station with configured energy storage by a regional system power grid to further stabilize the long-time space fluctuation when all independent energy storage power stations cannot meet the current power fluctuation.
Based on this, in order to improve accuracy and efficiency of power balance control of a power grid, and then guarantee stable operation of the power grid, and reduce cost of power balance control of the power grid at the same time, an embodiment of the present application provides a power balance control apparatus of a power grid, the apparatus may be a server or a client device, and 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-mounted device, an intelligent wearable device, and the like. Wherein, intelligence wearing equipment can include intelligent glasses, intelligent wrist-watch and intelligent bracelet etc..
In practical applications, part of the grid power balance control may be performed on the server side as described above, or all operations may be performed in the client device. The selection may be specifically performed according to the processing capability of the client device, the limitation of the user usage scenario, and the like. This is not a limitation of the present application. The client device may further include a processor if all operations are performed in the client device.
The client device may have a communication module (i.e., a communication unit), and may be communicatively connected to a remote server to implement data transmission with the server. The server may include a server on the task scheduling center side, and in other implementation scenarios, the server may also include a server on an intermediate platform, for example, a server on a third-party server platform that is communicatively linked to the task scheduling center server. The server may include a single computer device, or may include a server cluster formed by a plurality of servers, or a server structure of a distributed apparatus.
The server and the client device may communicate using any suitable network protocol, including network protocols not yet developed at the filing date of this application. The network protocol may include, for example, a TCP/IP protocol, a UDP/IP protocol, an HTTP protocol, an HTTPS protocol, or the like. Of course, the network Protocol may also include, for example, an RPC Protocol (Remote Procedure Call Protocol), a REST Protocol (Representational State Transfer Protocol), and the like used above the above Protocol.
The following examples are intended to illustrate the details.
In order to improve the accuracy and efficiency of power balance control of a power grid, further ensure stable operation of the power grid, and reduce the cost of power balance control of the power grid, the embodiment provides a power balance control method of which the execution main body is a power balance control device of the power grid, the power balance control device of the power grid includes but is not limited to a server, as shown in fig. 1, the method specifically includes the following contents:
step 100: and acquiring the power grid operation data of the regional power grid.
Specifically, the grid operation data may include: current power, fluctuation amplitude degree and temporal-spatial fluctuation duration.
Step 200: and determining the independent energy storage power station groups to be processed from the multiple 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, the independent energy storage power station group of multiclass is respectively: the system comprises a small independent energy storage power station group, a medium independent energy storage power station group and a large 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 the independent energy storage power stations in a gradient manner, and only peak clipping and valley filling of long space-time scales are involved; the new energy station group can comprise a plurality of new energy stations configured for energy storage; and determining an independent energy storage power station group corresponding to the power grid operation data from an 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 to-be-processed independent energy storage power station group, 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 pre-constructed new energy station economic optimization model 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 a limit and the power of the regional power grid fluctuates, it is determined that the power of the independent energy storage power station is not stabilized, that is, if the power of the independent energy storage power station is smaller than the fluctuation power, the stabilization is not satisfied. When the adjustment capacity of the independent energy storage power station is insufficient, economy is the top priority, and the space-time scale power disturbance is stabilized by combining the capacities such as response performance, the energy storage capacity of the new energy station configured for 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 configured for energy storage in the embodiment is a new battery energy storage power station. The configured energy storage is also divided into an energy type and a power type (mainly, the power size and the capacity size are different), and the operation is judged mainly according to the power size and the capacity size.
In order to further improve the accuracy of determining the target energy storage station group, in an embodiment of the present application, the step 200 includes:
step 201: and determining the space-time fluctuation classification of the regional power grid according to the power grid operation data.
Step 202: and according to the space-time 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.
Specifically, the corresponding relationship between the space-time fluctuation classification, the current power, the fluctuation amplitude degree and the space-time fluctuation duration may be preset; in one example, the correspondence between the spatio-temporal fluctuation classification, the current power, the degree of fluctuation amplitude, and the spatio-temporal fluctuation duration is shown in table 1:
TABLE 1
Figure BDA0003442969840000101
That is, as shown in fig. 5, in this example, when the time-space fluctuation duration is less than 30 minutes or the time-space fluctuation duration is greater than or equal to 210 minutes, and the fluctuation amplitude degree is less than 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 more than or equal to 30 minutes and less than 90 minutes or more than or equal to 180 minutes and less than 210 minutes, and the fluctuation amplitude degree of the current power is more than or equal to 5% and less than 10% of the current power, the time-space fluctuation of the regional power grid is classified as medium time-space fluctuation; and when the time duration of the space-time fluctuation is more than or equal to 90 minutes and less than 180 minutes and the fluctuation amplitude degree of the current power is more than or equal to 10 percent, classifying the space-time fluctuation of the regional power grid into 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 economic optimization model of a new energy station and a new energy station group corresponding to the regional power grid to perform power balance control on the regional power grid includes:
step 511: and when the sum of the energy storage cost and the sum of the operation cost in the full scheduling period are determined to be the lowest according to a pre-constructed economic optimization model of the new energy station, selecting a target new energy station from the new energy station group.
Specifically, the number of target new energy stations can be preset according to actual needs, and the number is not limited by the application; compared with other new energy stations with the same quantity, when the target new energy station is applied to carry out power balance control on the regional power grid, the sum of the energy storage cost and the sum of the operation cost in the full scheduling period are the lowest, and the target new energy stations all accord with the constraint conditions corresponding to the new energy station economic optimization model.
Step 512: and performing power balance control on the regional power grid by using the target new energy station.
In order to construct the reliability of the economic optimization model of the new energy station and further apply the reliable economic optimization model of the new energy station to save the cost of the power balance control process of the power grid, referring to fig. 3, in an embodiment of the present application, the step of constructing the economic optimization model of the new energy station includes:
step 001: and constructing an economic optimization model of the new energy station according to the operation cost of the new energy station and the energy storage cost of the battery life loss.
Specifically, the new energy station is a new energy station configured to store energy.
Step 002: the optimization target of the economic optimization model of the new energy station is that the sum of the energy storage cost and the running cost in the full scheduling period is the lowest; the constraint conditions of the economic optimization model of the new energy station comprise: power balance constraint, energy storage charge state constraint and charge and discharge power constraint.
Specifically, the new energy station includes: an energy storage converter (energy conversion device) and a battery (energy storage battery).
Taking the lowest sum of the energy storage cost and the operation cost of the new energy station in the full scheduling period as an optimization target, and providing an economic optimization model of the new energy station; new energy station economic optimization model minCtotalComprises the following steps:
minCtotal=Csumbat+Csumgrid
Csumbat=Csys+Closs
Csumgrid=Cbuy+Ctogrid+Cre_loss+CDp_loss+Cexchange
wherein, CtotalRepresents the comprehensive cost of the new energy station in the operation period, CsumbatRepresenting the energy storage cost, C, taking into account the battery life loss of the new energy stationsumgridRepresenting the operating cost of the new energy station; screening new energy stations in the new energy station group according to the constraint conditions, and determining the lowest cost (including energy storage cost and operation cost) of each new energy station meeting the constraint conditions by applying an economic optimization model of the new energy station; and based on the lowest cost sequencing 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 (Yuan) C of the new energy station can be obtained according to the following formulasys
Csys=Cbat+CPCS
Figure BDA0003442969840000111
CPCS=CPPrat
Wherein, CPRepresents a unit price (U/kW), P, of the energy conversion deviceratRepresents the rated power (kW), C of the batteryERepresents the unit price (yuan/(kW. h)) of the battery itself, etabThe conversion efficiency (%) of the new energy station is shown; t represents the rated discharge time (h) of the new energy station; cbatRepresents the battery cost (dollar); cPCSIs the initial investment cost (dollar) of the energy conversion device.
2) The annual equivalent life loss cost C of the new energy station under unit power can be obtained according to the following formulaloss
Figure BDA0003442969840000121
Wherein the number of charge and discharge cycles of the battery in the full scheduling period is NTSecond, and a cost of C per discharge cycle of battery life1,jI denotes a certain period, the ith period is adjacent to the (i +1) th period, 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 formulabuy
Figure BDA0003442969840000122
Wherein i represents a certain period of time; n represents the total number of time periods; if each time interval length is set to be 1h, N can represent the total number of hours in a full scheduling cycle; ebuy,iThe electric quantity purchased from the regional power grid by the new energy station through the grid-connected point in the ith period, cprice,iThe unit is kW.h/yuan, which is the time-of-use electricity price of the regional power grid in the ith period.
4) When the wind power and photovoltaic output in the new energy station cannot be completely absorbed by the energy storage power station and the local dispatching instruction in the new energy station, the power is transmitted to the regional power grid through a power connecting line between the new energy station and the regional power grid. In order to facilitate the consumption of renewable energy on site,defining the punishment cost generated by the feed electric quantity as the feed punishment cost of the new energy station, and obtaining the feed punishment cost C of the new energy station according to the following formulatogrid
Figure BDA0003442969840000123
cpunish_togrid,i=λ1·cprice,i,i=1,2,3,…,N
Wherein E istogrid,iFeeding the electric quantity of the regional power grid to the new energy station in the ith period; c. Cpunish_togrid,iFor reference time of use electricity price cprice,iThe established feed penalty time-of-use electricity price has the unit of kW.h/element and lambda1To make a penalty factor, and to promote the local consumption of renewable energy, it is necessary to reduce the profit obtained when the new energy station feeds electricity to the regional power grid, and therefore λ is preset1<0。
5) The cost C of light and wind can be obtained according to the following formulare_loss
Figure BDA0003442969840000124
Ere_loss,i=(PWT,i+PPV,i)·t-Etogrid,i
cpunish_reloss,i=λ2·cprice,i,i=1,2,3,…,N
Wherein E isre_loss,iThe total amount of wind and light abandoning is abandoned in the ith time period; pWT,iRepresenting the wind power in the t period; representing the photovoltaic power P during the period tPV,i;Etogrid,iThe electric quantity is fed to the regional power grid for the new energy station in the ith period; c. Cpunish_reloss,iIs and the time of use price cprice,iThe relevant penalty electricity price is in kW.h/yuan; lambda [ alpha ]2Penalty coefficients for abandoning wind and abandoning light.
6) In order to improve the autonomy level of the new energy station, the out-of-range part in the exchange electric quantity is brought into penalty cost, so that the purpose of restraining the annual total exchange electric quantity is achieved; the penalty cost of the total exchange electric quantity out-of-range in the full scheduling period of the new energy station can be obtained through the following formula:
Figure BDA0003442969840000131
wherein E isbuy,iThe electric quantity purchased from the new energy station to the regional power grid through the public connection point in the ith period; etogrid,iFeeding the electric quantity of the regional power grid to the new energy station in the ith period; eDp,iDispatching command power consumption for the ith time interval of the new energy station; c. Cpunish_exchangeThe unit is kW.h/yuan to punish the electricity price for the out-of-range electricity quantity.
The following constraint conditions need to be considered when performing optimization solution on the optimization target.
1) And (4) power balance constraint.
Figure BDA0003442969840000132
Wherein, PWT,tRepresenting the wind power of the t-th time period; pPV,tRepresenting the photovoltaic power, P, of the t-th periodDp,tIs a scheduling instruction value; by passing
Figure BDA0003442969840000133
And
Figure BDA0003442969840000134
represents the charging and discharging state of the new energy station in the t-th period,
Figure BDA0003442969840000135
indicating that the new energy station undergoes a discharging process in the t-th time period, and the discharging power is Pdis,t
Figure BDA0003442969840000136
The new energy station is in a non-discharge state, and the new energy station may be charged or not charged or discharged; in the same way
Figure BDA0003442969840000137
There are also only two states of 1 and 0,
Figure BDA0003442969840000138
indicating that the new energy station is charged in the t-th time period, and corresponding charging power P is obtained at the timech,t;Pgrid,tRepresenting the power transmitted by the new energy station to the regional power grid during the time period t.
2) And (4) operation constraint of energy storage.
SOC value S of new energy station in t time periodOC(t) from SOC(t-1), and the charge and discharge amount of the new energy station and the self-discharge rate of the battery at 1 hour in the t-1 to t periods. When the new energy station respectively uses the charging efficiency etacAnd discharge efficiency ηdWhen charging and discharging are performed, the SOC during the period t may be expressed as follows:
Figure BDA0003442969840000141
Figure BDA0003442969840000142
where σ represents the self-discharge rate of the cell, ηcRepresenting the charging efficiency, P, of the stored energy in the new energy stationch,tRepresents the charging power of the stored energy in the new energy station, at represents the unit time (one time period),
Figure BDA0003442969840000143
representing the rated capacity of stored energy in the new energy station. The limitation of the state of charge 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:
SOCmin≤SOC(t)≤SOCmax
wherein S isOCmaxRepresenting the upper limit value of the state of charge of the energy storage power station in the new energy station, SOCminThe lower limit of the state of charge.
The actual current of the new energy station cannot exceed the maximum value of the charging and discharging current of the new energy station, so the charging power P of the energy storage power station in the new energy station in the t-th time periodch,tAnd discharge power Pdis,tThere are constraints as follows:
Figure BDA0003442969840000144
wherein the content of the first and second substances,
Figure BDA0003442969840000145
the charging power upper limit of the new energy station in the t-th time period is set;
Figure BDA0003442969840000146
and (4) setting the upper limit of the discharge power of the new energy station in the t-th time period.
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 includes:
step 201: and 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.
Specifically, whether the fluctuation amplitude degree of the regional power grid is smaller than a preset ratio lower limit corresponding to the current power is judged, if yes, the space-time fluctuation is classified as short space-time fluctuation, otherwise, whether the fluctuation amplitude degree of the regional power grid is larger than a preset ratio upper limit corresponding to the current power is judged, if yes, the space-time fluctuation is classified as long space-time fluctuation, and if not, the space-time fluctuation is classified as medium space-time fluctuation.
To further improve the accuracy of determining the independent energy storage station groups, in one embodiment of the present application, step 300 comprises:
step 301: if the space-time fluctuation classification is a short space-time fluctuation classification, determining an independent energy storage power station group consisting of all small independent energy storage power stations as the independent energy storage power station group to be processed;
specifically, due to the fact that the power disturbance of the short space-time scale is strong in randomness, fast in speed change and small in amplitude, the small independent energy storage power stations of the near voltage level in the regional power grid can be scanned and classified to find out the small independent energy storage power stations which are suitable for current power fluctuation and capable of being charged and discharged, then the small independent energy storage power stations with fast response time and high precision are selected on the basis, and power suppression is conducted on the power disturbance of the short space-time scale. And the disturbance quantity and the duration of the short space-time scale are extracted in real time by the regional power grid, and the energy storage power station receives the scheduling control instruction and controls the energy storage power station to stabilize the charging and discharging power according to the disturbance quantity. For medium-and-long-term space-length power disturbance and time length of a peak shifting layer, due to the fact that the amplitude of disturbance quantity is large and the rate change is slow, comprehensive optimal scheduling and stabilizing are conducted according to the economy and the operation performance of a regional power grid. And regulating and controlling energy storage resources in the regional power grid in real time according to the index limit value issued by the regional power grid and by combining the operation state and the disturbance condition of the regional power grid, and absorbing the power disturbance through a comprehensive optimization principle.
Step 302: if the space-time fluctuation classification is a medium space-time fluctuation classification, determining an independent energy storage power station group consisting of all medium-sized independent energy storage power stations as the to-be-processed independent energy storage power station group;
step 303: and if the space-time fluctuation classification is a long-time space fluctuation classification, determining an independent energy storage power station group consisting of all large independent energy storage power stations as the to-be-processed independent energy storage power station group.
Specifically, the echelon battery independent energy storage power station is mainly used for long-term space-length power disturbance elimination and stabilization, the power of the (new battery) large-scale energy storage power station is replaced, the large-scale energy storage power station has enough capacity and power stabilization and sudden large-fluctuation equal-length space-time scale disturbance for ensuring the large-scale energy storage power station, due to the fact that the large-scale energy storage power station is high in response capacity, some large-scale energy storage power stations are reserved for standby, the echelon battery independent energy storage power station passes through a time replacement strategy and a control precision margin strategy, and the (new battery) large-scale energy storage power station performs power coordination replacement.
As can be seen from the above description, in this embodiment, in order to meet the requirements of different scene conditions of the regional power grid, corresponding indexes according to the characteristics of the regional power grid are provided for different spatio-temporal scales, and a) a short spatio-temporal scale power disturbance value and duration are limiting indexes of the short spatio-temporal scale power disturbance value of the regional power grid, and a boundary condition of fast power response speed and short response time is provided in terms of control and regulation capability; b) the power ramp response rate of the medium time-space scale, the power change rate limit index on the control and regulation capacity, and the boundary condition of fast power response speed and longer response time on the control and regulation capacity; c) and the long-time space scale power disturbance value is a boundary condition that the power response speed of the regional power grid load on the long-time space scale is high, and the response time is long (including the maximum peak value and the maximum valley value). Firstly, a regional power grid must be provided with acquisition equipment with a higher sampling rate, the node power is acquired and refreshed at a high speed in real time, when the power fluctuation exceeds the assumed fluctuation rate of the current power, the system starts to start short-time and space-time fluctuation stabilizing prefabrication and screen an optimal energy storage power station, and starts to distribute power to small independent energy storage power stations; when the power fluctuation exceeds the short space-time fluctuation limit, starting the prefabricated and screened optimal medium-sized energy storage power station by the system, and stabilizing the medium-time and space-time fluctuation; when the power fluctuation exceeds the medium-time and space-time fluctuation limit, the system starts to start the prefabricated and screened optimal large energy storage power station to stabilize the long-time and space fluctuation.
In order to further improve the accuracy of the classification of the independent energy storage power station, in an embodiment of the present application, before step 301, the method further includes:
step 031: acquiring power capacities of a plurality of independent energy storage power stations;
step 032: and dividing the independent energy storage power stations into small independent energy storage power stations, medium independent energy storage power stations and large 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 the independent energy storage power station and the energy storage power station classification is shown in table 2; meanwhile, corresponding capacity performance and power performance dividing conditions are provided, and dividing can be performed according to the outlet voltage grade of the grid-connected point of the energy storage power station to distinguish the major priority classes of control. The capacity performance of the new battery energy storage power station only considers the condition of attenuation to 80%, and the attenuation to below 80% is suitable for running by using the battery energy storage working condition in a gradient manner.
TABLE 2
Figure BDA0003442969840000161
The corresponding relation between the power capacity of the echelon utilization energy storage power station and the classification of the energy storage power station in the independent energy storage power station is shown in table 3; the power capacity of the energy storage power station is classified according to the rated capacity re-checked by the capacity of the battery (attenuated to below 80%) in a echelon mode and the proportion of 100%, corresponding capacity performance and power performance dividing conditions are given, and meanwhile, the classification is carried out according to the outlet voltage grade of the grid-connected point of the energy storage power station, so that the major priority classes of control and the like are distinguished. The echelon utilization energy storage power station considers the condition that the battery capacity is attenuated to be below 80%, but the verified capacity is re-verified to be 100% according to the attenuated capacity, the lower rated capacity operation of the echelon utilization energy storage power station is carried out, and when the battery capacity is attenuated to be below 80% of the existing rated capacity again, the continuous operation is not considered.
TABLE 3
Figure BDA0003442969840000171
In order to improve the 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 group in step 400 to adjust the power of the regional power grid includes:
step 421: acquiring the type, the charging and discharging state, the current charge state, the discharging power, the charging and discharging response time and the physical distance from the grid-connected point of the regional power grid of each independent energy storage power station in the independent energy storage power station group;
step 422: 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 from the grid-connected point of the regional power grid;
step 423: and sequencing the target independent energy storage power stations according to the types of the energy storage power stations and the current charge state, 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 echelon utilization energy storage power station; the physical distances between each independent energy storage power station in the energy storage power station group and the grid-connected point of the regional power grid can be obtained, and the independent energy storage power station of which the physical distance is smaller than a physical distance threshold, the charging and discharging state is a discharging state, the current charging state belongs to a charging state threshold interval, the discharging power belongs to a discharging power threshold interval, and the charging and discharging response time belongs to a charging and discharging response time threshold interval is selected as the target independent energy storage power station. For example, the threshold interval of the state of charge is 15% to 35%, the threshold interval of the discharge power is 80% to 85%, and the threshold interval of the charge-discharge response time is <0.5 s.
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-scale independent energy storage power station comprises: a new battery energy storage power station and a echelon 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 of each independent energy storage power station and the physical distance from the grid-connected 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 energy storage power station group is called, a new battery energy storage power station group is called first, and then the energy storage power station group is used in a gradient manner; and performing in-group sequencing of the two groups according to the charge states from large to small to obtain the sequencing result of each target independent energy storage power station.
Assuming that the current power is p (h), h is 1, 2, 3, 4, 5, and T is a time interval 1 s; the power detection calculation is performed by dividing one second into five parts, each of which is 200ms, calculating one power point every 200ms (ten cycles), calculating five power points every one second, and averaging the five power values every one second. And performing real-time monitoring, sequencing the capacity, physical distance of grid-connected voltage levels, current chargeable and dischargeable power, response characteristics, precision and other high and low conditions according to the dynamic operation state of each energy storage power station when the prefabricated value of the fluctuation value is reached, and preferentially responding to the energy storage power station with comprehensive optimal combination to timely respond to the energy storage power station meeting the power fluctuation stabilization and meeting the new energy consumption capacity of the regional power grid and the safe operation of the regional power grid.
In one example, the corresponding relationship among the current state, the charge-discharge state, the charge state, the power availability condition and the charge-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 corresponding relationship among the current state, the charge-discharge state, the charge state, the power availability condition and the charge-discharge duration of a battery energy storage power station which is used in a gradient manner in the independent energy storage power station is shown in table 5; table 4 shows detailed characteristic conditions of the state conditions of the new battery energy storage power station, mainly including the charging and discharging states of the energy storage power station, SOC state and value classification, available power state and classification value, and calculated chargeable and dischargeable duration conditions, and the operating SOC of the new battery energy storage power station only takes into account 15% to 90% of the operating conditions. Table 5 shows the detailed characteristic of the echelon energy storage battery power station, and the operating SOC of the echelon energy storage battery power station only takes 35% to 75% of the operating conditions into consideration.
TABLE 4
Figure BDA0003442969840000191
TABLE 5
Figure BDA0003442969840000192
Figure BDA0003442969840000201
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 charging and discharging response characteristics of the battery energy storage power station used in steps.
TABLE 6
Figure BDA0003442969840000202
Figure BDA0003442969840000211
TABLE 7
Figure BDA0003442969840000212
As can be seen from the above description, the power grid power balance control method provided by this embodiment can improve the accuracy of determining the target independent energy storage power station; specifically, under the long-space length, when the new battery energy storage power station reaches full power and cannot perform power regulation, the power is replaced by the energy storage power station in a gradient manner, so that the regulation 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 a space-time scale and a disturbance amplitude, and checking a table to distinguish corresponding space-time fluctuation conditions; judging the space-time condition of power fluctuation, and judging short, medium and long-time space fluctuation in a classified manner; the short time-space fluctuation is preferentially checked to distribute the small independent energy storage power stations, the medium time-space fluctuation is preferentially checked to distribute the medium independent energy storage power stations, and the long time-space fluctuation is preferentially checked to distribute the large independent energy storage power stations; for the current space-time fluctuation condition, screening the charge-discharge power and the charge-discharge time of the distributed independent energy storage power station, and determining the screening result if the current fluctuation rate is met; for the current time-space fluctuation situation, good response characteristics and high power precision are selected from the screened independent energy storage power stations for stabilizing, and when the stabilizing power of the current energy storage power station is insufficient, the better energy storage power station with good response characteristics and high power precision is selected, and the like; the energy storage power station related to the echelon battery utilization is mainly used for long-time space scale power disturbance elimination and stabilization, and the echelon battery utilization independent energy storage power station carries out power coordination replacement with a (new battery) large-scale energy storage power station through a time replacement strategy and a control precision margin strategy; for the current fluctuation stabilization, when all the independent energy storage power stations are not sufficiently stabilized, the new energy station configured with the energy storage needs to be subjected to economic screening and classification to perform response stabilization.
In terms of software, in order to improve accuracy and efficiency of power balance control of a power grid, further ensure stable operation of the power grid, and reduce cost of power balance control of the power grid, the present application provides an embodiment of a power balance control apparatus for implementing all or part of the contents in the power balance control method of the power grid, and referring to fig. 7, the power balance control apparatus specifically includes the following contents:
the acquisition module 01 is used for acquiring power grid operation data of a regional power grid;
the determining module 02 is configured to determine, according to the power grid operation data, to-be-processed independent energy storage power station groups from multiple independent energy storage power station groups corresponding to the regional power grid;
and the power balance control module 03 is configured to apply the to-be-processed independent energy storage power station group, adjust the power of the regional power grid, and determine whether the adjusted power of the regional power grid exceeds a preset power fluctuation range, and if so, apply a pre-established 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.
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 the independent energy storage power station groups 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.
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 the energy storage cost and the running cost in the full scheduling period is the lowest according to a pre-constructed economic optimization model of the new energy station;
and the balance control unit is used for applying the target new energy station to carry out power balance control on the regional power grid.
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 to-be-processed independent energy storage power station group if the space-time fluctuation classification is a short space-time 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 to-be-processed independent energy storage power station group if the space-time fluctuation classification is a medium space-time fluctuation classification;
and the third determining subunit is used for determining an independent energy storage power station group formed by all large independent energy storage power stations as the to-be-processed independent energy storage power station group if the space-time fluctuation classification is a long-time space fluctuation classification.
The embodiments of the power grid power balance control device provided in this specification may be specifically used to execute the processing procedure of the embodiments of the power grid power balance control method, and the functions of the processing procedure are not described herein again, and reference may be made to the detailed description of the embodiments of the power grid power balance control method.
In order to further explain the present solution, the present application provides an embodiment of an energy storage power station cluster, and 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 comprises: a plurality of new energy stations, the independent energy storage power station group including: a plurality of independent energy storage power stations; and each independent energy storage power station and each new energy 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 field stations configured with energy storage in the energy storage power station cluster may be connected to the grid at different voltage levels (e.g., 500kV, 220kV, 110kV, and 35kV), and the independent energy storage power stations and the new energy field stations configured with energy storage are all provided at different voltage levels; the scale of the regional power grid is similar to that of the city-level power grid; the voltage of a grid-connected point of the energy storage power station is 35kV, then the voltage is boosted to a 220kV collection station, then the voltage is boosted to a 500kV collection station, and a load is sent out from a regional power grid; the 110kV refers to the voltage of a grid-connected point of the energy storage power station being 110kV, then the voltage is boosted to a 220kV collection station, then the voltage is boosted to a 500kV collection station, and a load is sent out from a regional power grid; 220kV means that the voltage of the grid-connected point of the energy storage power station is 220kV, then the grid-connected point is boosted to a 500kV collection station, a load is sent out from a regional power grid, and the arrow direction in the figure 8 represents power flow.
The new energy station has the advantages of high charging and discharging efficiency, high response speed and the like, and can effectively realize dynamic migration of power and energy in a time domain; a node transformer of the regional power grid is an important grid-connected point accessed to a main power grid; the energy storage power stations in the regional power grid and the new energy field stations configured with the energy storage can be utilized to carry out multi-time-space-scale disturbance stabilization on the regional power grid according to the power of the node transformer required by the main power grid, so that the regional power grid becomes an intelligent region with autonomy, adjustability and controllability; the multilevel reasonable sharing and orderly stabilization of the regional power grid, the hierarchical and regional autonomous coordination control of each power station and the power disturbance can be realized. The safe and stable operation of a power grid is guaranteed in a novel power system.
According to the description, the accuracy and the efficiency of power grid power balance control can be improved, so that stable operation of a power grid can be ensured, and meanwhile, the cost of power grid power balance control can be reduced; particularly, the power fluctuation of the regional power grid can be balanced and stabilized by fully utilizing the performance characteristics of various types (including a new battery energy storage power station and a gradient battery energy storage power station) of energy storage while ensuring the safe and stable operation of the regional power grid, can integrate the performance characteristics and the optimal economic cost of an independent energy storage power station and a new energy station configured with energy storage (including a new battery and a gradient utilization battery), determine a reasonable operation plan and the characteristic indexes of the energy storage power station in a region by global optimization, receive index parameters given by a regional power grid by the energy storage power station, mine controllable and adjustable resources such as energy storage in the region and the like, under the condition of guaranteeing the economic safety power supply of the regional power grid, the power of the energy storage power station can be adjusted in real time to meet the index limit value and different scenes, the application scenes are wide, and active support can be provided for the actual production of the regional power grid.
In terms of hardware, in order to improve accuracy and efficiency of power balance control of a power grid, further ensure stable operation of the power grid, and reduce cost of power balance control of the power grid, the present application provides an embodiment of an electronic device for implementing all or part of contents in the power balance control method of the power grid, where the electronic device 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 mutual communication through the bus; the communication interface is used for realizing information transmission among the power grid power balance control device, the user terminal and other related equipment; the electronic device may be a desktop computer, a tablet computer, a mobile terminal, and the like, but the embodiment is not limited thereto. In this embodiment, the electronic device may be implemented with reference to the embodiment for implementing the power balance control method for the power grid and the embodiment for implementing the power balance control apparatus for the power grid in the embodiments, and the contents thereof are incorporated herein, and repeated details are not repeated.
Fig. 9 is a schematic block diagram of a system configuration of an electronic device 9600 according to an embodiment of the present application. As shown in fig. 9, the electronic device 9600 can 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 structure to implement telecommunications 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 control as follows:
step 100: and acquiring the power grid operation data of the regional power grid.
Step 200: and determining the independent energy storage power station groups to be processed from the multiple 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 to-be-processed independent energy storage power station group, 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 pre-constructed new energy station economic optimization model and a new energy station group corresponding to the regional power grid.
From the above description, the electronic device provided in the embodiment of the present application can improve accuracy and efficiency of power balance control of a power grid, thereby ensuring stable operation of the power grid, and reducing cost of power balance control of the power grid.
In another embodiment, the grid power balance control device may be configured separately from the central processor 9100, for example, the grid power balance control device may be configured as a chip connected to the central processor 9100, and the grid power balance control function is realized 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 also does not necessarily include all of the components shown in fig. 9; in addition, the electronic device 9600 may further include components not shown in fig. 9, which may be referred to in the prior art.
As shown in fig. 9, a central processor 9100, sometimes referred to as a controller or operational control, can include a microprocessor or other processor device and/or logic device, which central processor 9100 receives input and controls the operation of the various components of the electronic device 9600.
The memory 9140 can 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 relating to the failure may be stored, and a program for executing the information may be stored. And the central processing unit 9100 can execute the program stored in the memory 9140 to realize information storage or processing, or 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. Power supply 9170 is used to provide power to electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, an LCD display, but is not limited thereto.
The memory 9140 can be a solid state memory, e.g., Read Only Memory (ROM), Random Access Memory (RAM), a SIM card, or the like. There may also be a memory that holds information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes called an EPROM or the like. The memory 9140 could also be some other type of device. 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 being used for storing application programs and function programs or for executing a flow of operations of the electronic device 9600 by the central processor 9100.
The memory 9140 can also include a data store 9143, the data store 9143 being used to store 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 for the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, contact book applications, etc.).
The communication module 9110 is a transmitter/receiver 9110 that transmits and receives signals via an antenna 9111. The communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as in the case of a conventional mobile communication terminal.
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, 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 receive audio input from the microphone 9132, thereby implementing ordinary telecommunications functions. The audio processor 9130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100, thereby enabling recording locally through the microphone 9132 and enabling locally stored sounds to be played through the speaker 9131.
According to the description, the electronic equipment 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.
Embodiments of the present application further provide a computer-readable storage medium capable of implementing all the steps in the power grid power balance control method in the foregoing embodiments, where the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, implements all the steps in the power grid power balance control method in the foregoing embodiments, for example, when the processor executes the computer program, implements the following steps:
step 100: acquiring power grid operation data of a regional power grid;
step 200: determining independent energy storage power station groups 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 to-be-processed independent energy storage power station group, 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 pre-constructed new energy station economic optimization model 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 in the embodiment of the present application can improve accuracy and efficiency of power balance control of a power grid, thereby ensuring stable operation of the power grid and reducing cost of power balance control of the power grid.
In the present application, each embodiment of the method is described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. Reference is made to the description of the method embodiments.
As will be appreciated by one skilled in the art, 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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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 principle and the implementation mode of the present application are explained by applying specific embodiments in the present application, and the description of the above embodiments is only used to help understanding the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (16)

1. A power grid power balance control method is characterized by comprising the following steps:
acquiring power grid operation data of a regional power grid;
determining independent energy storage power station groups 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 to-be-processed independent energy storage power station group, 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 pre-constructed new energy station economic optimization model and a new energy station group corresponding to the regional power grid.
2. The power grid power balance control method according to claim 1, wherein 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 comprises:
determining the space-time fluctuation classification of the regional power grid according to the power grid operation data;
and according to the space-time 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.
3. The power grid power balance control method according to claim 1, wherein the applying a pre-constructed 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 comprises:
according to a pre-constructed economic optimization model of the new energy station, when the sum of the energy storage cost and the running cost in the full scheduling period is determined to be the lowest, selecting a target new energy station from the new energy station group;
and performing power balance control on the regional power grid by using the target new energy station.
4. The grid power balance control method according to claim 1, wherein the step of constructing the economic optimization model of the new energy station comprises:
constructing an economic optimization model of the new energy station according to the operation cost and the energy storage cost of the service life loss of the new energy station;
the optimization target of the economic optimization model of the new energy station is that the sum of the energy storage cost and the running cost in the full scheduling period is the lowest; the constraint conditions of the economic optimization model of the new energy station comprise: power balance constraint, energy storage charge state constraint and charge and discharge power constraint.
5. The grid power balance control method of claim 2, wherein the grid operating 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 includes:
and 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.
6. The power grid power balance control method according to claim 2, wherein the determining, according to the classification of the spatiotemporal fluctuations, 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 comprises:
if the space-time fluctuation classification is a short space-time fluctuation classification, determining an independent energy storage power station group consisting of 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 medium space-time fluctuation classification, determining an independent energy storage power station group consisting of all medium-sized independent energy storage power stations as the to-be-processed independent energy storage power station group;
and if the space-time fluctuation classification is a long-time space fluctuation classification, determining an independent energy storage power station group consisting of all large independent energy storage power stations as the to-be-processed independent energy storage power station group.
7. The grid power balance control method of claim 6, further comprising:
acquiring power capacities of a plurality of independent energy storage power stations;
and dividing the independent energy storage power stations into small independent energy storage power stations, medium independent energy storage power stations and large independent energy storage power stations according to the power capacity of each independent energy storage power station.
8. The grid power balance control method according to claim 1, wherein the applying the to-be-processed independent energy storage power station group to adjust the power of the regional grid comprises:
acquiring the type, the charging and discharging state, the current charge state, the discharging power, the charging and discharging response time and the physical distance from the grid-connected point of the regional power grid of each independent energy storage power station in the independent energy storage power station group;
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 from the grid-connected point of the regional power grid;
and sequencing the target independent energy storage power stations according to the types of the energy storage power stations and the current charge state, 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.
9. A grid power balance control apparatus, comprising:
the acquisition module is used for acquiring power grid operation data of a regional power grid;
the determining module is used for determining the independent energy storage power station groups to be processed from the 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 to-be-processed independent energy storage power station group, 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-constructed 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.
10. The grid power balance control device of claim 9, wherein the determining module comprises:
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 the independent energy storage power station groups 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.
11. The grid power balance control device of claim 9, 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 the energy storage cost and the running cost in the full scheduling period is the lowest according to a pre-constructed economic optimization model of the new energy station;
and the balance control unit is used for applying the target new energy station to carry out power balance control on the regional power grid.
12. The grid power balance control device of claim 10, wherein the grid operating 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.
13. The grid power balance control device according to claim 10, wherein the second determination unit comprises:
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 to-be-processed independent energy storage power station group if the space-time fluctuation classification is a short space-time 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 to-be-processed independent energy storage power station group if the space-time fluctuation classification is a medium space-time fluctuation classification;
and the third determining subunit is used for determining an independent energy storage power station group formed by all large independent energy storage power stations as the to-be-processed independent energy storage power station group if the space-time fluctuation classification is a long-time space fluctuation classification.
14. An energy storage power station cluster, comprising: the new group of energy sites and the group of independent energy storage power stations of any one of claims 1 to 8;
the new energy station group comprises: a plurality of new energy stations, the independent energy storage power station group including: a plurality of independent energy storage power stations;
and each independent energy storage power station and each new energy station are connected through a node transformer.
15. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the grid power balance control method of any of claims 1 to 8 when executing the program.
16. A computer readable storage medium having computer instructions stored thereon that, when executed, implement the grid power balance control method of any of claims 1 to 8.
CN202111644491.XA 2021-12-29 2021-12-29 Power grid power balance control method and device and energy storage power station cluster Active CN114362201B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111644491.XA CN114362201B (en) 2021-12-29 2021-12-29 Power grid power balance control method and device and energy storage power station cluster

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111644491.XA CN114362201B (en) 2021-12-29 2021-12-29 Power grid power balance control method and device and energy storage power station cluster

Publications (2)

Publication Number Publication Date
CN114362201A true CN114362201A (en) 2022-04-15
CN114362201B CN114362201B (en) 2024-03-12

Family

ID=81104161

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111644491.XA Active CN114362201B (en) 2021-12-29 2021-12-29 Power grid power balance control method and device and energy storage power station cluster

Country Status (1)

Country Link
CN (1) CN114362201B (en)

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
SHI XUEWEI ET AL.: "Research on Energy Storage Configuration Method Based on Wind and Solar Volatility", 《2020 10TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS》, pages 464 - 468 *
巩宇 等: "考虑弃光损失的并网光伏电站储能容量配置方法", 《华北电力技术》, no. 10, pages 33 - 37 *
戴瑞海: "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", 《智慧电力》, vol. 47, no. 4, pages 8 - 15 *

Also Published As

Publication number Publication date
CN114362201B (en) 2024-03-12

Similar Documents

Publication Publication Date Title
CN109301849A (en) A kind of energy management combination control tactics of user side battery energy storage power station
CN110571838B (en) Energy storage battery early peak load reduction control method and device
CN112491039A (en) Control method for power exchange between main network and household optical storage system
Ananda-Rao et al. Battery energy storage system assessment in a designed battery controller for load leveling and peak shaving applications
CN109768626B (en) Plug-and-play energy flow implementation method for energy storage power station
CN114498773A (en) Control method and device for participating in APC frequency modulation of master station by adjustable load
CN110866647A (en) User side energy storage control method, device, equipment and storage medium
CN111008463A (en) Capacity allocation optimization method, device and equipment considering energy storage at power generation side
CN114498768A (en) Method and device for generating source-load-storage optimized operation strategy of regional intelligent substation
CN113690949A (en) Control mode switching method and device for energy storage system of new energy station
CN111709574A (en) Distributed cluster configuration scheduling method, computer equipment and storage medium
CN114362201A (en) Power grid power balance control method and device and energy storage power station cluster
CN115130842B (en) Wind-solar-fire integrated base configuration method and device
CN103812137B (en) A kind of control method to generating set and device
CN112366758B (en) Power grid frequency modulation control method and device
CN113708444A (en) Energy balance control method and device for energy storage power station
CN113595109A (en) Flywheel energy storage capacity configuration method and device
CN113792977A (en) Energy storage planning method, device, equipment and medium for bottom-guaranteed power grid
CN110298715B (en) Energy transaction system and method based on distributed energy storage
CN113381434A (en) Method and device for optimizing operation mode of flexible direct-current power grid
Bonetto et al. Lightweight energy management of islanded operated microgrids for prosumer communities
CN115940166B (en) Base station scheduling method, base station scheduling device, electronic equipment and readable storage medium
CN115313656B (en) Hydropower hybrid energy storage management method and system
Sima et al. Optimal Operation of a Renewable Energy Power System
Ananda-Rao et al. A review on various load control strategies for battery energy storage system in energy applications

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant