CN116979568A - New energy base energy storage power configuration method and device, computer equipment and medium - Google Patents
New energy base energy storage power configuration method and device, computer equipment and medium Download PDFInfo
- Publication number
- CN116979568A CN116979568A CN202310962316.8A CN202310962316A CN116979568A CN 116979568 A CN116979568 A CN 116979568A CN 202310962316 A CN202310962316 A CN 202310962316A CN 116979568 A CN116979568 A CN 116979568A
- Authority
- CN
- China
- Prior art keywords
- power
- coordinated
- change data
- energy storage
- power change
- 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.)
- Pending
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 137
- 238000000034 method Methods 0.000 title claims abstract description 96
- 230000008859 change Effects 0.000 claims abstract description 161
- 238000009499 grossing Methods 0.000 claims description 90
- 238000012545 processing Methods 0.000 claims description 42
- 238000004364 calculation method Methods 0.000 claims description 31
- 230000015654 memory Effects 0.000 claims description 27
- 238000011156 evaluation Methods 0.000 claims description 11
- 230000004044 response Effects 0.000 claims description 10
- 238000012937 correction Methods 0.000 claims description 6
- 230000033228 biological regulation Effects 0.000 claims description 5
- XOFYZVNMUHMLCC-ZPOLXVRWSA-N prednisone Chemical compound O=C1C=C[C@]2(C)[C@H]3C(=O)C[C@](C)([C@@](CC4)(O)C(=O)CO)[C@@H]4[C@@H]3CCC2=C1 XOFYZVNMUHMLCC-ZPOLXVRWSA-N 0.000 claims description 5
- 230000008569 process Effects 0.000 description 10
- 238000010586 diagram Methods 0.000 description 8
- 238000001914 filtration Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 8
- 238000004422 calculation algorithm Methods 0.000 description 5
- 238000010248 power generation Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 230000006641 stabilisation Effects 0.000 description 2
- 238000011105 stabilization Methods 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- H02J3/241—The oscillation concerning frequency
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Power Engineering (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Biodiversity & Conservation Biology (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to the technical field of power grid frequency modulation and discloses a new energy base energy storage power configuration method, a device, computer equipment and a medium. When the power configuration of the stored energy is determined, the power change to be coordinated in the new energy power station is considered instead of the determination based on artificial experience, so that the power configuration result of the stored energy is more accurate and scientific.
Description
Technical Field
The invention relates to the technical field of power grid frequency modulation, in particular to a new energy base energy storage power configuration method, a device, computer equipment and a medium.
Background
The output of new energy power generation systems such as wind power, photovoltaic and the like has intermittence and uncertainty, and the large-scale grid-connected access of new energy can cause certain influence on the safe and stable operation of the power system. The energy storage with certain capacity is configured on the new energy base, so that positive influence can be brought to the grid connection characteristic of the new energy, the scheduling capability can be enhanced, the running economy of a power grid can be improved, the wind and light discarding phenomenon can be improved, the grid connection power fluctuation can be stabilized, and the stability of a power system can be improved. However, the existing energy storage capacity configuration scheme for the new energy power generation system generally performs energy storage capacity configuration based on artificial experience, and the energy storage capacity configuration is not scientific enough, so that the stability of the power system cannot be improved to a higher degree.
Disclosure of Invention
In view of the above, the invention provides a new energy base energy storage power configuration method, a new energy base energy storage power configuration device, a new energy base energy storage power configuration computer device and a new energy base energy storage power configuration medium, so as to solve the problem that the energy storage configuration in the existing energy power generation system is not scientific enough.
In a first aspect, the invention provides a method for configuring energy storage power of a new energy base, which comprises the steps of obtaining first output power change data of the new energy base within a preset period; smoothing the first output power change data to obtain second output power change data of the new energy base within a preset time period; determining power variation data to be coordinated based on the first output power variation data and the second output power variation data; and determining an energy storage power configuration result based on the power change data to be coordinated.
According to the new energy base energy storage power configuration method, output power change data of the new energy base in a preset period are subjected to smoothing processing to obtain output power change data after the smoothing processing, power change data to be coordinated is obtained based on the output power change data before the smoothing processing and after the smoothing processing, and energy storage power configuration is determined based on the power change data to be coordinated. When the power configuration of the stored energy is determined, the power change to be coordinated in the new energy power station is considered instead of the determination based on artificial experience, so that the power configuration result of the stored energy is more accurate and scientific.
In an alternative embodiment, the method further comprises: acquiring total rated power of a generator set in a new energy base; inputting the total rated power and the energy storage power configuration result into a pre-constructed equivalent inertial time constant calculation model, and calculating to obtain an equivalent inertial time constant of energy storage, wherein the equivalent inertial time constant calculation model is used for representing the association relation between the energy storage power configuration and the equivalent inertial time constant, and the equivalent inertial time constant is used for representing the power regulation capacity of the energy storage; and evaluating the power adjustment capability of the energy storage based on the equivalent virtual inertia time constant of the energy storage to obtain an evaluation result of the power adjustment capability of the energy storage.
According to the method provided by the alternative embodiment, the equivalent power adjustment capability of the energy storage is quantitatively evaluated through the equivalent time constant of the energy storage, and the stable adjustment capability of the energy storage to the new energy base can be effectively determined based on the evaluation result, so that the frequency stability of the new energy grid-connected system is facilitated.
In an alternative embodiment, the method further comprises:
and correcting the energy storage power configuration result based on the equivalent virtual inertia time constant of the energy storage to obtain a corrected power configuration result.
In an alternative embodiment, the equivalent inertial time constant calculation model is:
wherein delta E is the maximum energy released by the rotational inertia of the generator rotor, S N Rated power combination for new energy base output, P ESS_N For the stored energy power configuration value, deltaT is the frequency response time, H ESS Is an equivalent inertial time constant.
In an alternative embodiment, the step of determining the stored energy power configuration result based on the power variation data to be coordinated comprises: analyzing the power change data to be coordinated, and determining the power value to be coordinated with the maximum value in the power change data to be coordinated; and determining an energy storage power configuration result based on the power value to be coordinated with the largest value in the power change data to be coordinated.
According to the method provided by the alternative embodiment, the stored energy power configuration result is determined based on the power value to be coordinated with the largest value in the power change data to be coordinated, so that the stored energy power configuration value is more reasonable.
In an alternative embodiment, the step of analyzing the power change data to be coordinated and determining the power value to be coordinated with the largest value in the power change data to be coordinated includes: correcting the power change data to be coordinated based on a preset rule to obtain corrected power change data to be coordinated; and determining the power value to be coordinated with the largest value in the modified power change data to be coordinated as the power value to be coordinated with the largest value in the power change data to be coordinated.
According to the method provided by the alternative embodiment, the power to be coordinated with the maximum value in the power change data to be coordinated is determined based on the corrected data by correcting the power change data to be coordinated, so that the stored power configuration result can be obtained more accurately and reasonably.
In an alternative embodiment, the step of smoothing the first output power variation data to obtain second output power variation data of the new energy base within a preset time period includes: smoothing the first output power change data based on a first smoothing control method to obtain first smoothing result data; smoothing the first output power change data based on a second smoothing control method to obtain second smoothing result data; performing smoothing processing on the first output power change data based on a third smoothing control method to obtain third smoothing result data; the second output power variation data is determined based on the first smoothing result data, the second smoothing result data, and the third smoothing result data.
In a second aspect, the present invention provides an electric power configuration apparatus for a new energy base, where the apparatus includes: the acquisition module is used for acquiring first output power change data of the new energy base in a preset period; the first processing module is used for carrying out smoothing processing on the first output power change data to obtain second output power change data of the new energy base within a preset time period; the first determining module is used for determining power change data to be coordinated based on the first output power change data and the second output power change data; and the second determining module is used for determining an energy storage power configuration result based on the power change data to be coordinated.
As an alternative embodiment of the present invention, the apparatus further comprises: the second acquisition module is used for acquiring the total rated power of the generator set in the new energy base; the calculation module is used for inputting the total rated power and the energy storage power configuration result into a pre-constructed equivalent inertial time constant calculation model, calculating to obtain an equivalent inertial time constant of energy storage, wherein the equivalent inertial time constant calculation model is used for representing the association relationship between the energy storage power configuration and the equivalent inertial time constant, and the equivalent inertial time constant is used for representing the power regulation capacity of the energy storage; and the evaluation module is used for evaluating the power adjustment capability of the energy storage based on the equivalent virtual inertia time constant of the energy storage, and obtaining an evaluation result of the power adjustment capability of the energy storage.
As an alternative embodiment of the invention, the device is characterized in that it further comprises: and the correction module is used for correcting the energy storage power configuration result based on the equivalent virtual inertia time constant of the energy storage to obtain a corrected power configuration result.
As an alternative embodiment of the present invention, the equivalent inertial time constant calculation model is:
wherein ΔE isMaximum energy released by rotational inertia of generator rotor, S N Rated power combination for new energy base output, P ESS_N For the stored energy power configuration value, deltaT is the frequency response time, H ESS Is an equivalent inertial time constant.
As an optional embodiment of the present invention, the second determining module includes: the analysis submodule is used for analyzing the power change data to be coordinated and determining the power value to be coordinated with the largest numerical value in the power change data to be coordinated; and the determining submodule is used for determining an energy storage power configuration result based on the power value to be coordinated with the largest value in the power change data to be coordinated.
As an alternative embodiment of the present invention, the analysis sub-module includes: the correction unit is used for correcting the power change data to be coordinated based on a preset rule to obtain corrected power change data to be coordinated; and the determining unit is used for determining the power value to be coordinated with the largest value in the modified power change data to be coordinated as the power value to be coordinated with the largest value in the power change data to be coordinated.
In a third aspect, the present invention provides a computer device comprising: the system comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions so as to execute the new energy base energy storage power configuration method of the first aspect or any corresponding implementation mode.
In a fourth aspect, the present invention provides a computer readable storage medium, on which computer instructions are stored, the computer instructions being configured to cause a computer to perform the new energy base stored energy power configuration method of the first aspect or any one of the embodiments corresponding thereto.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a new energy base stored energy power configuration method according to an embodiment of the present invention;
FIG. 2A is a schematic diagram of first output power variation data according to an embodiment of the present invention;
FIG. 2B is a schematic diagram of another first output power variation data according to an embodiment of the present invention;
FIG. 2C is a diagram illustrating still another first output power variation data according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of stored charge and discharge energy in an embodiment of the present invention;
FIG. 4 is a flow chart of another method for configuring stored energy power of a new energy base according to an embodiment of the present invention;
FIG. 5 is a flow chart of another method for configuring stored energy power of a new energy base according to an embodiment of the present invention;
FIG. 6 is a flow chart of another method for configuring stored energy power of a new energy base according to an embodiment of the present invention;
FIG. 7 is a schematic diagram showing the final charge-discharge amount change of the stored energy power smoothing function obtained after the adjustment in the embodiment of the present invention;
FIG. 8 is a flow chart of another method for configuring stored energy power of a new energy base according to an embodiment of the present invention;
FIG. 9 is a block diagram of a new energy base stored energy power configuration device according to an embodiment of the present invention;
fig. 10 is a schematic diagram of a hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The electric power output by the new energy base is easily influenced by the environment, the output power is not stable enough, and certain influence can be caused on the safe and stable operation of the electric power system after the electric power is integrated into the power grid, so that the generated power of the new energy base needs to be coordinately controlled by configuring energy storage with certain capacity. However, in the related art, the energy storage power configuration is generally performed based on past experience, which is not scientific and cannot well ensure the stability of the power system.
In view of this, the implementation of the present invention provides a new energy base energy storage power configuration method, which can be applied to a processor to determine the power configuration of energy storage. According to the method provided by the embodiment of the invention, the power configuration of the stored energy is determined through the change data of the power to be coordinated of the new energy base, so that the configuration result of the stored energy power is more accurate and more scientific.
According to an embodiment of the present invention, there is provided a new energy base stored energy power configuration method embodiment, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different from that herein.
In this embodiment, a new energy base stored energy power configuration method is provided, which may be used in the above processor, and fig. 1 is a flowchart of a new energy base stored energy power configuration method according to an embodiment of the present application, as shown in fig. 1, where the flowchart includes the following steps:
step S101, acquiring first output power variation data of the new energy base within a preset period.
The new energy base may include, but is not limited to, a new energy power station such as wind power, photovoltaic, etc., the preset period may be any historical period, and in the embodiment of the present application, the first output power change information may be power change information corresponding to a typical output process of the new energy base in the preset period. In the embodiment of the application, the new energy installation mainly uses photovoltaic power generation, and output power change information corresponding to typical output processes of different seasons such as 2 months, 7 months, 12 months and the like in one year is respectively shown in fig. 2A, 2B and 2C.
Step S102, performing smoothing processing on the first output power change data to obtain second output power change data of the new energy base within a preset time period.
Illustratively, in the embodiment of the present application, the smoothing processing may be performed on the first output power variation data by a preset smoothing processing algorithm. The predetermined smoothing algorithm may include, but is not limited to, a first order low pass filtering method, a moving average method, and a least squares method.
Step S103, determining power change data to be coordinated based on the first output power change data and the second output power change data.
In an exemplary embodiment of the present application, the difference may be made between the output power data corresponding to each time point of the first output power change data and the output data corresponding to the time point in the second output power change data, so as to obtain the power change data to be coordinated, a specific calculation process may be shown in the following formula (1), and a change curve of energy storage versus hardware and charge and discharge energy may be shown in fig. 3.
P ESS0_i ＝P out_i -P source_i (1)
Wherein P is source_i The total power generation power of wind power, photovoltaic power and other power supplies at the moment i of the new energy base is represented; p (P) out_i The total power expected to be output at the moment of the new energy base i after being processed by a power smoothing algorithm is represented; p (P) ESS0_i I.e. the power that the new energy base is configured to store energy at time i needs to be coordinated in order to achieve power smoothing.
Step S104, the energy storage power configuration result is determined based on the power change data to be coordinated.
In an exemplary embodiment of the present application, the maximum charge and discharge power required when the energy storage coordinates the output power of the new energy base may be determined based on the power change data to be coordinated in the preset period, and the power configuration result of the energy storage may be the rated power of the energy storage based on the determined maximum charge and discharge power.
According to the new energy base energy storage power configuration method, output power change data of a new energy base in a preset period are subjected to smoothing processing to obtain output power change data after the smoothing processing, power change data to be coordinated is obtained based on the output power change data before the smoothing processing and after the smoothing processing, and energy storage power configuration is determined based on the power change data to be coordinated. When the power configuration of the stored energy is determined, the power change to be coordinated in the new energy power station is considered instead of the determination based on artificial experience, so that the power configuration result of the stored energy is more accurate and scientific.
In this embodiment, a new energy base stored energy power configuration method is provided, which may be used in the above processor, and fig. 4 is a flowchart of a new energy base stored energy power configuration method according to an embodiment of the present invention, as shown in fig. 4, where the flowchart includes the following steps:
step S401, acquiring first output power variation data of the new energy base within a preset period. Please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S402, performing smoothing processing on the first output power variation data to obtain second output power variation data of the new energy base within a preset time period. Please refer to step S102 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S403, determining power change data to be coordinated based on the first output power change data and the second output power change data. Please refer to step S103 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S404, determining an energy storage power configuration result based on the power change data to be coordinated. Please refer to step S104 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S405, obtaining the total rated power of the generator set in the new energy base.
Illustratively, the new energy base includes a plurality of generator sets, and the total rated power of the generator sets is the sum of rated powers of all the generator sets in the new energy base.
Step S406, inputting the total rated power and the energy storage power configuration result into a pre-constructed equivalent inertia time constant calculation model, and calculating to obtain an equivalent inertia time constant of the energy storage, wherein the equivalent inertia time constant calculation model is used for representing the association relation between the energy storage power configuration and the equivalent inertia time constant, and the equivalent inertia time constant is used for representing the power adjustment capability of the energy storage.
The equivalent inertia time constant calculation model is used for representing the association relation between the energy storage power configuration and the equivalent inertia time constant, and the equivalent inertia time constant calculation model can be used for calculating the power adjustment capacity (frequency adjustment capacity) of the energy storage to the new energy source base under the current power configuration condition.
In some alternative embodiments, the equivalent inertial time constant calculation model is:
wherein delta E is the maximum energy released by the rotational inertia of the generator rotor, S N Rated power combination for new energy base output, P ESS_N For the stored energy power configuration value, deltaT is the frequency response time, H ESS Is an equivalent inertial time constant.
In an exemplary embodiment of the present application, in order to calculate the degree of frequency stability improvement caused by energy storage with a certain power capacity for a new energy base grid-connected system, first, according to the frequency response characteristic of a conventional generator set, an inertia time constant of a power supply system is defined as shown in the following formula (3):
wherein S is N The total rated power of the generator set; e (E) r Kinetic energy stored for the generator rotor at rated rotational speed; omega 0 The rated rotational speed angular frequency of the generator is set; j is the total rotational inertia of the generator rotor and H is the inertia time constant.
The calculation process of the maximum energy deltae that can be released by the rotational inertia of the generator rotor in the safe operating frequency range (50±0.5 Hz) of the power grid can be as follows:
step S407, evaluating the power adjustment capability of the stored energy based on the equivalent virtual inertia time constant of the stored energy to obtain an evaluation result of the power adjustment capability of the stored energy.
Under the function of energy storage participating in the frequency modulation of a new energy power system, the same energy is released by adopting an energy storage simulation generator rotor. Assuming that the minimum time required for the grid frequency to decrease from 50.5Hz to 49.5Hz is Δt, and the energy storage is always output according to the rated power, the calculation process of the total energy Δe released by the energy storage during the entire frequency decrease process can be shown in the following formula (5):
ΔE＝P ESS_N ΔT (5)
the equivalent inertia time constant shown by the energy storage in the process is defined as shown in a formula (2) by analogy with a conventional generator set. The frequency response time Δt of the power system is generally 7 to 15 seconds.
For a selected energy storage capacity matched with new energy, the equivalent virtual inertia time constant H contributed by the configured energy storage in the new energy grid-connected system can be determined according to the calculation of the formula ESS The constant describes the generator frequency response characteristics that the energy storage can simulate: the larger the inertia time constant is, the stronger the frequency modulation capability provided by energy storage is; and otherwise, the weaker the frequency modulation capability provided by the energy storage is.
According to the new energy base energy storage power configuration method, output power change data of a new energy base in a preset period are subjected to smoothing processing to obtain output power change data after the smoothing processing, power change data to be coordinated is obtained based on the output power change data before the smoothing processing and after the smoothing processing, and energy storage power configuration is determined based on the power change data to be coordinated. When the power configuration of the stored energy is determined, the power change to be coordinated in the new energy power station is considered instead of the determination based on artificial experience, so that the power configuration result of the stored energy is more accurate and scientific.
In this embodiment, a new energy base stored energy power configuration method is provided, which may be used in the above processor, and fig. 5 is a flowchart of a new energy base stored energy power configuration method according to an embodiment of the present invention, as shown in fig. 5, where the flowchart includes the following steps:
step S501, acquiring first output power variation data of the new energy base in a preset period. Please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S502, performing smoothing processing on the first output power change data to obtain second output power change data of the new energy base within a preset time period. Please refer to step S102 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S503, determining power change data to be coordinated based on the first output power change data and the second output power change data. Please refer to step S103 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S504, the energy storage power configuration result is determined based on the power change data to be coordinated. Please refer to step S104 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S505, obtaining the total rated power of the generator set in the new energy base. Please refer to step S405 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S506, inputting the total rated power and the energy storage power configuration result into a pre-constructed equivalent inertia time constant calculation model, and calculating to obtain an equivalent inertia time constant of energy storage, wherein the equivalent inertia time constant calculation model is used for representing the association relation between the energy storage power configuration and the equivalent inertia time constant, and the equivalent inertia time constant is used for representing the power adjustment capability of the energy storage. Please refer to step S406 in the embodiment shown in fig. 1 in detail, which is not described herein.
And S507, evaluating the power adjustment capability of the stored energy based on the equivalent virtual inertia time constant of the stored energy to obtain an evaluation result of the power adjustment capability of the stored energy. Please refer to step S407 in the embodiment shown in fig. 1 in detail, which is not described herein.
And step S508, correcting the stored energy power configuration result based on the equivalent virtual inertia time constant of the stored energy to obtain a corrected power configuration result.
In the embodiment of the application, the equivalent inertia time constant provided by the energy storage can be compared with the inertia time constant of the conventional unit power plant with the same scale and modified iteratively to obtain the power configuration result of the modified energy storage.
According to the new energy base energy storage power configuration method, output power change data of a new energy base in a preset period are subjected to smoothing processing to obtain output power change data after the smoothing processing, power change data to be coordinated is obtained based on the output power change data before the smoothing processing and after the smoothing processing, and energy storage power configuration is determined based on the power change data to be coordinated. When the power configuration of the stored energy is determined, the power change to be coordinated in the new energy power station is considered instead of the determination based on artificial experience, so that the power configuration result of the stored energy is more accurate and scientific.
In this embodiment, a new energy base stored energy power configuration method is provided, which may be used in the above processor, and fig. 6 is a flowchart of a new energy base stored energy power configuration method according to an embodiment of the present application, as shown in fig. 6, where the flowchart includes the following steps:
step S601, acquiring first output power variation data of the new energy base within a preset period. Please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S602, performing smoothing processing on the first output power variation data to obtain second output power variation data of the new energy base within a preset time period. Please refer to step S102 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S603, determining power change data to be coordinated based on the first output power change data and the second output power change data. Please refer to step S103 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S604, determining an energy storage power configuration result based on the power variation data to be coordinated. Please refer to step S104 in the embodiment shown in fig. 1 in detail, which is not described herein.
Specifically, the step S604 includes:
step S6041, the power change data to be coordinated is analyzed, and the power value to be coordinated with the largest value in the power change data to be coordinated is determined. In an exemplary embodiment of the present application, each power value of the power change data to be coordinated may be ranked, and the power value to be coordinated with the largest value in the power change data to be coordinated is determined based on the ranking result.
Step S6042, determining the energy storage power configuration result based on the power value to be coordinated with the largest value in the power change data to be coordinated. For example, the stored energy power configuration result is determined based on the power value to be coordinated with the largest value in the power change data to be coordinated, and the specific determination rule may be as shown in the following formula (6).
Where MAX () represents the maximum value of an element within a computation set, P ESS_N And the rated power of the energy storage is configured for the new energy base.
In some optional embodiments, step S6041 above includes:
and a step a1, correcting the power change data to be coordinated based on a preset rule to obtain corrected power change data to be coordinated. The preset rule may be, for example, a net charge amount of the stored energy. In the embodiment of the application, the total charge capacity and the total discharge capacity of the stored energy within 24 hours a day cannot be guaranteed to be equal only according to the principle of power smoothing, so that the daily net charge capacity which is not 0 exists in the stored energy. However, in order to enable the energy storage device to exert a power level for a long timeThe sliding function is required to make the energy of the energy storage device at the end of a day as less variable as possible than the initial value. For this purpose, the difference between the initial value and the final value of the stored charge-discharge energy in the time of day is distributed equally over 24 hours of the day, whereby the absorption power of the energy storage device is adjusted in a translatory manner. The final charge and discharge amount change of the smoothing function of the stored energy power after adjustment can be shown in FIG. 7, and the stored energy control power corresponding to the curve at the time i is recorded as P ESS_i . Further, the power change data to be coordinated is corrected based on a preset rule, and corrected power change data to be coordinated is obtained.
And a step a2, determining the power value to be coordinated with the largest value in the modified power change data to be coordinated as the power value to be coordinated with the largest value in the power change data to be coordinated. In an exemplary embodiment of the present application, the power value to be coordinated with the largest value in the power change data to be coordinated is determined based on the corrected power change information to be coordinated.
According to the new energy base energy storage power configuration method, output power change data of a new energy base in a preset period are subjected to smoothing processing to obtain output power change data after the smoothing processing, power change data to be coordinated is obtained based on the output power change data before the smoothing processing and after the smoothing processing, and energy storage power configuration is determined based on the power change data to be coordinated. When the power configuration of the stored energy is determined, the power change to be coordinated in the new energy power station is considered instead of the determination based on artificial experience, so that the power configuration result of the stored energy is more accurate and scientific.
In this embodiment, a new energy base stored energy power configuration method is provided, which may be used in the above processor, and fig. 8 is a flowchart of a new energy base stored energy power configuration method according to an embodiment of the present application, as shown in fig. 8, where the flowchart includes the following steps:
Step S801, acquiring first output power variation data of a new energy base within a preset period. Please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S802, performing smoothing processing on the first output power change data to obtain second output power change data of the new energy base within a preset time period.
Specifically, the step S802 includes:
in step S8021, the first output power variation data is smoothed based on the first smoothing control method, so as to obtain first smoothing result data. In the embodiment of the present application, the first smoothing control method may be a first-order filtering method, and a common first-order low-pass filter, such as a first-order RC circuit, has a filtering effect determined by a time constant τ. The larger the time constant τ, the lower the cut-off frequency of the filter. If the sampling interval is T c The discretized filter difference equation is shown in the following equation (7):
wherein Y is k For the current filtering output value, Y k-1 For last filtering output value, X k The sampling value is this time.
By changing the time constant, different filtering effects can be obtained, and the output curve is smoothed.
Step S8022, performing smoothing processing on the first output power variation data based on the second smoothing control method, to obtain second smoothing result data.
In an exemplary embodiment of the present application, the second smoothing control method may be a moving average method, which is also called a moving average method, and the curve is smoothed by sequentially increasing and decreasing new and old data one by one to average. The most important characteristic of the moving average method is simplicity, only the average value needs to be obtained, the algorithm is simple, and the calculated amount is small. According to the number of calculated data, the method can be divided into a sliding average algorithm with different orders, for example, a five-order sliding average represents a value obtained by representing the point by an average value of the point and four points after the point, and the calculation formula is shown as the following formula (8):
Y i ＝(X i +X i+1 +X i+2 +X i+3 +X i+4 )/5 (8)
wherein Y is i For the ith output value, X i Is the i-th sample value.
In step S8023, smoothing processing is performed on the first output power variation data based on the third smoothing control method, so as to obtain third smoothing result data.
In an exemplary embodiment of the present application, the third smoothing control method may be a least square method, which is also one of the common methods of smoothing curves, and is divided into different times of least square fitting curves according to the highest order of fitting. By performing polynomial fitting on the data, the data relationship is represented by an n-order polynomial, and a smoothing effect is achieved. The polynomial of order n is represented by the following formula (9):
p(x)＝p 1 x n +p 2 x n-1 +...+p n x+p n+1 (9)
In Qiong, p (x) represents a polynomial function, p 1 To p n+1 Representing n +1 coefficients, x representing a univariate input,
step S8024 determines second output power variation data based on the first smoothing result data, the second smoothing result data, and the third smoothing result data.
Illustratively, in the embodiment of the present application, the arithmetic average may be performed based on the first smoothing result data, the second smoothing result data, and the third smoothing result data, and the second output power variation data may be determined based on the arithmetic average result. According to the method provided by the embodiment of the application, a low-pass filtering method, a moving average method and a least square method are respectively adopted to carry out fluctuation stabilization on a photovoltaic output curve, and meanwhile, the adjustment of the net charge and discharge capacity of the stored energy and the charge and discharge efficiency factors are considered to obtain the rated power demands of the stored energy corresponding to the three power smoothing methods, wherein the rated power demands of the stored energy are shown in a table 1. The duty ratio of the rated power of the stored energy in the capacity of the new energy total assembly machine is synchronously given in the table.
TABLE 1
It can be seen that the energy storage rated power configurations required by different smoothing control methods have certain differences, but the overall requirements are basically about 10% of the total installed capacity of the new energy base overall power supply (the calculation results of the three methods can be used for estimating the average value).
Step S803, determining power change data to be coordinated based on the first output power change data and the second output power change data.
Step S804, determining the stored energy power configuration result based on the power variation data to be coordinated.
According to the new energy base energy storage power configuration method, output power change data of a new energy base in a preset period are subjected to smoothing processing to obtain output power change data after the smoothing processing, power change data to be coordinated is obtained based on the output power change data before the smoothing processing and after the smoothing processing, and energy storage power configuration is determined based on the power change data to be coordinated. When the power configuration of the stored energy is determined, the power change to be coordinated in the new energy power station is considered instead of the determination based on artificial experience, so that the power configuration result of the stored energy is more accurate and scientific.
The method for configuring the energy storage power of the new energy base provided by the invention is specifically described below through a specific embodiment.
Examples:
the typical energy storage output process shown in fig. 2A to 2C adopts a low-pass filtering method, a moving average method and a least square method to carry out fluctuation stabilization on a photovoltaic output curve, and simultaneously, the adjustment of the net charge and discharge capacity of the energy storage day and the charge and discharge efficiency factors are considered to obtain the rated power requirements of the energy storage corresponding to the three power smoothing methods as shown in the table 1. The duty ratio of the rated power of the stored energy in the capacity of the new energy total assembly machine is synchronously given in the table.
The capacity of the photovoltaic total assembly machine of the new energy resource base can be 49MW, and the energy storage power capacity is configured according to 10% of the installed capacity of the power supply, so that the required energy storage total rated power configuration should be about 4.9 MW. Substituting the conditions into the energy storage equivalent virtual inertia time constant H ESS Wherein the frequency response time of the power gridTaking DeltaT as 10s, the virtual inertia time constant provided by energy storage is about H ESS =22.7s. The inertia time constant of the general turbo generator set is 8-16 s, and the inertia time constant of the turbo generator set is 4-8 s; the inertia time constant of the synchronous camera is 2-4 s. According to the inertia time constant reference range of the conventional generator set, the energy storage belongs to a large-inertia power supply system, and the frequency stability of the new energy grid-connected system can be remarkably improved.
The embodiment also provides a new energy base stored energy power configuration device, which is used for implementing the above embodiment and the preferred implementation manner, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The embodiment provides a new energy base stored energy power configuration device, as shown in fig. 9, including:
an acquisition module 901, configured to acquire first output power change data of a new energy base within a preset period;
the first processing module 902 is configured to perform smoothing processing on the first output power variation data to obtain second output power variation data of the new energy base within a preset time period;
a first determining module 903, configured to determine power change data to be coordinated based on the first output power change data and the second output power change data;
a second determining module 904 is configured to determine an energy storage power configuration result based on the power variation data to be coordinated.
In some alternative embodiments, the apparatus further comprises:
the second acquisition module is used for acquiring the total rated power of the generator set in the new energy base;
the calculation module is used for inputting the total rated power and the energy storage power configuration result into a pre-constructed equivalent inertial time constant calculation model, calculating to obtain an equivalent inertial time constant of energy storage, wherein the equivalent inertial time constant calculation model is used for representing the association relationship between the energy storage power configuration and the equivalent inertial time constant, and the equivalent inertial time constant is used for representing the power regulation capacity of the energy storage;
And the evaluation module is used for evaluating the power adjustment capability of the energy storage based on the equivalent virtual inertia time constant of the energy storage, and obtaining an evaluation result of the power adjustment capability of the energy storage.
In some alternative embodiments, the apparatus further comprises:
and the correction module is used for correcting the energy storage power configuration result based on the equivalent virtual inertia time constant of the energy storage to obtain a corrected power configuration result.
In some alternative embodiments, the equivalent inertial time constant calculation model is:
wherein delta E is the maximum energy released by the rotational inertia of the generator rotor, S N Rated power combination for new energy base output, P ESS_N For the stored energy power configuration value, deltaT is the frequency response time, H ESS Is an equivalent inertial time constant.
In some alternative embodiments, the second determining module includes:
the analysis submodule is used for analyzing the power change data to be coordinated and determining the power value to be coordinated with the largest numerical value in the power change data to be coordinated;
and the determining submodule is used for determining an energy storage power configuration result based on the power value to be coordinated with the largest value in the power change data to be coordinated.
In some alternative embodiments, the analysis sub-module includes:
The correction unit is used for correcting the power change data to be coordinated based on a preset rule to obtain corrected power change data to be coordinated;
and the determining unit is used for determining the power value to be coordinated with the largest value in the modified power change data to be coordinated as the power value to be coordinated with the largest value in the power change data to be coordinated.
Further functional descriptions of the above respective modules and units are the same as those of the above corresponding embodiments, and are not repeated here.
The new energy base stored power configuration device in this embodiment is presented in the form of functional units, where the units refer to ASIC (Application Specific Integrated Circuit ) circuits, processors and memories executing one or more software or fixed programs, and/or other devices that can provide the above functions.
The embodiment of the invention also provides computer equipment, which is provided with the new energy base energy storage power configuration device shown in the figure 9.
Referring to fig. 10, fig. 10 is a schematic structural diagram of a computer device according to an alternative embodiment of the present invention, as shown in fig. 10, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are communicatively coupled to each other using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the computer device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In some alternative embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple computer devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 10 is illustrated in fig. 10.
The processor 10 may be a central processor, a network processor, or a combination thereof. The processor 10 may further include a hardware chip, among others. The hardware chip may be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general-purpose array logic, or any combination thereof.
Wherein the memory 20 stores instructions executable by the at least one processor 10 to cause the at least one processor 10 to perform the methods shown in implementing the above embodiments.
The memory 20 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, memory 20 may optionally include memory located remotely from processor 10, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk, or solid state disk; the memory 20 may also comprise a combination of the above types of memories.
The computer device also includes a communication interface 30 for the computer device to communicate with other devices or communication networks.
The embodiments of the present invention also provide a computer readable storage medium, and the method according to the embodiments of the present invention described above may be implemented in hardware, firmware, or as a computer code which may be recorded on a storage medium, or as original stored in a remote storage medium or a non-transitory machine readable storage medium downloaded through a network and to be stored in a local storage medium, so that the method described herein may be stored on such software process on a storage medium using a general purpose computer, a special purpose processor, or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, a solid state disk or the like; further, the storage medium may also comprise a combination of memories of the kind described above. It will be appreciated that a computer, processor, microprocessor controller or programmable hardware includes a storage element that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the methods illustrated by the above embodiments.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.
Claims (15)
1. A method for configuring energy storage power of a new energy base, the method comprising:
acquiring first output power change data of a new energy base within a preset period;
performing smoothing processing on the first output power change data to obtain second output power change data of the new energy base within a preset time period;
determining power variation data to be coordinated based on the first output power variation data and the second output power variation data;
and determining an energy storage power configuration result based on the power change data to be coordinated.
2. The method according to claim 1, wherein the method further comprises:
acquiring total rated power of a generator set in a new energy base;
inputting the total rated power and the energy storage power configuration result into a pre-constructed equivalent inertia time constant calculation model, and calculating to obtain an equivalent inertia time constant of energy storage, wherein the equivalent inertia time constant calculation model is used for representing the association relationship between the energy storage power configuration and the equivalent inertia time constant, and the equivalent inertia time constant is used for representing the power regulation capacity of the energy storage;
And evaluating the power adjustment capability of the energy storage based on the equivalent virtual inertia time constant of the energy storage to obtain an evaluation result of the power adjustment capability of the energy storage.
3. The method according to claim 2, wherein the method further comprises:
and correcting the energy storage power configuration result based on the equivalent virtual inertia time constant of the energy storage to obtain a corrected power configuration result.
4. The method of claim 2, wherein the equivalent inertial time constant calculation model is:
wherein delta E is the maximum energy released by the rotational inertia of the generator rotor, S N Rated power combination for new energy base output, P ESS_N For the stored energy power configuration value, deltaT is the frequency response time, H ESS Is an equivalent inertial time constant.
5. The method of claim 1, wherein the step of determining the stored energy power configuration result based on the power change data to be coordinated comprises:
analyzing the power change data to be coordinated, and determining the power value to be coordinated with the maximum value in the power change data to be coordinated;
and determining the energy storage power configuration result based on the power value to be coordinated with the maximum value in the power change data to be coordinated.
6. The method of claim 5, wherein the step of analyzing the power change data to be coordinated to determine the power value to be coordinated having the largest value in the power change data to be coordinated comprises:
correcting the power change data to be coordinated based on a preset rule to obtain corrected power change data to be coordinated;
and determining the power value to be coordinated with the largest value in the modified power change data to be coordinated as the power value to be coordinated with the largest value in the power change data to be coordinated.
7. The method of claim 1, wherein the step of smoothing the first output power variation data to obtain second output power variation data of the new energy base within a preset time period includes:
performing smoothing processing on the first output power change data based on a first smoothing control method to obtain first smoothing result data;
smoothing the first output power change data based on a second smoothing control method to obtain second smoothing result data;
smoothing the first output power change data based on a third smoothing control method to obtain third smoothing result data;
Second output power variation data is determined based on the first smoothing result data, second smoothing result data, and third smoothing result data.
8. A new energy base stored energy power configuration device, the device comprising:
the acquisition module is used for acquiring first output power change data of the new energy base in a preset period;
the first processing module is used for carrying out smoothing processing on the first output power change data to obtain second output power change data of the new energy base within a preset time period;
a first determining module, configured to determine power change data to be coordinated based on the first output power change data and the second output power change data;
and the second determining module is used for determining an energy storage power configuration result based on the power change data to be coordinated.
9. The apparatus of claim 8, wherein the apparatus further comprises:
the second acquisition module is used for acquiring the total rated power of the generator set in the new energy base;
the calculation module is used for inputting the total rated power and the energy storage power configuration result into a pre-constructed equivalent inertia time constant calculation model, calculating to obtain an equivalent inertia time constant of energy storage, wherein the equivalent inertia time constant calculation model is used for representing the association relationship between the energy storage power configuration and the equivalent inertia time constant, and the equivalent inertia time constant is used for representing the power regulation capacity of the energy storage;
And the evaluation module is used for evaluating the power adjustment capability of the energy storage based on the equivalent virtual inertia time constant of the energy storage, and obtaining an evaluation result of the power adjustment capability of the energy storage.
10. The apparatus of claim 9, wherein the apparatus further comprises:
and the correction module is used for correcting the energy storage power configuration result based on the equivalent virtual inertia time constant of the energy storage to obtain a corrected power configuration result.
11. The apparatus of claim 9, wherein the equivalent inertial time constant calculation model is:
wherein delta E is the maximum energy released by the rotational inertia of the generator rotor, S N Rated power combination for new energy base output, P ESS_N For the stored energy power configuration value, deltaT is the frequency response time, H ESS Is an equivalent inertial time constant.
12. The apparatus of claim 8, wherein the second determining module comprises:
the analysis submodule is used for analyzing the power change data to be coordinated and determining the power value to be coordinated with the largest numerical value in the power change data to be coordinated;
and the determining submodule is used for determining the energy storage power configuration result based on the power value to be coordinated with the largest value in the power change data to be coordinated.
13. The apparatus of claim 12, wherein the analysis sub-module comprises:
the correction unit is used for correcting the power change data to be coordinated based on a preset rule to obtain corrected power change data to be coordinated;
and the determining unit is used for determining the power value to be coordinated with the largest value in the modified power change data to be coordinated as the power value to be coordinated with the largest value in the power change data to be coordinated.
14. A computer device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the new energy base stored power configuration method of any one of claims 1 to 7.
15. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the new energy base stored energy power configuration method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310962316.8A CN116979568A (en) | 2023-08-01 | 2023-08-01 | New energy base energy storage power configuration method and device, computer equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310962316.8A CN116979568A (en) | 2023-08-01 | 2023-08-01 | New energy base energy storage power configuration method and device, computer equipment and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116979568A true CN116979568A (en) | 2023-10-31 |
Family
ID=88479274
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310962316.8A Pending CN116979568A (en) | 2023-08-01 | 2023-08-01 | New energy base energy storage power configuration method and device, computer equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116979568A (en) |
-
2023
- 2023-08-01 CN CN202310962316.8A patent/CN116979568A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113937763B (en) | Wind power prediction method, device, equipment and storage medium | |
| CN107204615B (en) | Method and system for realizing power prediction | |
| CN111080477A (en) | Household power load prediction method and system | |
| US20200127598A1 (en) | Power generation prediction system and method thereof | |
| CN111709569A (en) | Method and device for predicting and correcting output power of wind power plant | |
| CN111478360A (en) | Centralized-local integrated voltage control method and device for power distribution network with photovoltaic access | |
| CN113935512A (en) | Wind power prediction method and device, computer equipment and storage medium | |
| CN110118509A (en) | A kind of blower fan of cooling tower energy-saving control method and system | |
| CN116937569A (en) | Intelligent energy storage method and device for photovoltaic power generation and electronic equipment | |
| CN116031887A (en) | Power grid simulation analysis calculation data generation method, system, equipment and medium | |
| CN108879741B (en) | Energy storage capacity configuration method and system for local consumption of distributed power supply | |
| CN116979568A (en) | New energy base energy storage power configuration method and device, computer equipment and medium | |
| CN116954334A (en) | Heat dissipation control method, device, server, computer equipment and storage medium | |
| CN116131668A (en) | Intelligent motor adjusting method, system, equipment and storage medium | |
| CN116316828A (en) | Electric discarding simulation method and device for water-wind-solar complementary system and electronic equipment | |
| CN111866924B (en) | Performance index monitoring method and device, computing equipment and computer storage medium | |
| CN109960778B (en) | Method and device for calculating theoretical power of wind power plant | |
| CN109124480B (en) | Air draft equipment and control method and device thereof | |
| CN112865204B (en) | Wind power plant frequency support capacity estimation method and device and computer equipment | |
| CN111291463A (en) | New energy consumption space electric quantity solving method and system | |
| CN115076020B (en) | Method, device and equipment for optimizing water pump working condition of variable-speed pumped storage unit | |
| CN117293813A (en) | Voltage anti-disturbance control method, device, equipment and medium based on wind turbine generator | |
| CN116663935B (en) | Wind turbine power generation amount calculation method, device, computer equipment and storage medium | |
| CN109944740B (en) | Wind farm group control method and device | |
| CN115145211B (en) | Control method, system, medium and electronic device of non-switching value device |
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 |