CN116316713A - Wind-solar and photovoltaic-containing power grid energy storage configuration method and device - Google Patents
Wind-solar and photovoltaic-containing power grid energy storage configuration method and device Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
Abstract
The invention discloses a method and a device for configuring energy storage of a power grid containing wind, light and photovoltaic. The method comprises the following steps: inputting system parameters of wind, light and photovoltaic power grids, and initializing the scale capacity of a power grid energy storage power station; according to the appointed operation mode and the initialized scale capacity, carrying out production simulation calculation and outputting a power rejection rate index; judging whether the electricity rejection rate index reaches a preset target value; under the condition that the power rejection rate index does not reach the target value, gradually increasing the scale capacity according to a preset step length, performing iterative computation of production simulation, and outputting and updating the power rejection rate index; and under the condition that the electricity rejection rate index reaches the target value, judging that the scale capacity is the capacity of the power grid energy storage power station.
Description
Technical Field
The invention relates to the technical field of simulation analysis of power systems, in particular to a method and a device for configuring energy storage of a power grid containing wind, light and photovoltaic.
Background
With the development of integration of wind power and photovoltaic multiple power sources, wind power and wind power are connected in a large scale, the difficulty of peak regulation of a power grid is increased due to randomness and fluctuation of wind power and wind power, and part of wind power is not utilized due to the limitation of minimum output and the like of a conventional thermal unit during peak regulation, so that the light rejection rate of wind power and wind power is increased. The natural complementation of wind and light can not completely stabilize the respective fluctuation and can not meet the load requirement. In order to meet peak regulation requirements, the single-day output fluctuation of the conventional thermal unit is large, so that the system economy is poor. The energy storage technology can realize the storage and release of electric energy, and the energy storage can be matched with the peak regulation of a conventional unit to effectively improve the peak regulation pressure of a power grid and increase the wind-solar acceptance. The 3 rd month of 2021, the national development and reform commission and the national energy agency jointly issue guidance opinion, which points out the trend of wind and light distribution and storage in the future, and the country has certain requirements on the light rejection rate of abandoned wind. Therefore, the method has important significance in capacity optimization configuration of the energy storage device in the multi-power integrated power grid containing wind power and photovoltaic.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method and a device for configuring energy storage of a power grid containing wind, light and photovoltaic.
According to one aspect of the invention, there is provided a method of energy storage configuration of a grid comprising wind and photovoltaic, comprising:
inputting system parameters of wind, light and photovoltaic power grids, and initializing the scale capacity of a power grid energy storage power station;
according to the appointed operation mode and the initialized scale capacity, carrying out production simulation calculation and outputting a power rejection rate index;
judging whether the electricity rejection rate index reaches a preset target value;
under the condition that the power rejection rate index does not reach the target value, gradually increasing the scale capacity according to a preset step length, performing iterative computation of production simulation, and outputting and updating the power rejection rate index;
and under the condition that the electricity rejection rate index reaches the target value, judging that the scale capacity is the capacity of the power grid energy storage power station.
Optionally, the system parameters include power structure, load characteristics, wind power and photovoltaic new energy output characteristics.
Optionally, the production scale constraints include:
new energy power rejection rate constraint:
wherein ,ΔPpv +ΔP wt The electric quantity is discarded for new energy; p (P) pv +P wt The maximum power generation amount of new energy is estimated;
upper limit constraint of energy storage installed capacity:
wherein ,BESS ，P ESS The electric capacity and the power capacity of the energy storage device respectively.
SOC constraint:
SOC min ≤SOC h ≤SOC max
wherein ,
b is the residual electric quantity in the energy storage ESS Is the rated capacity of the energy storage;
maximum charge-discharge rate constraint:
P ess,h ≤P ess,max
wherein ,Pess,max Is the charge-discharge power corresponding to the maximum charge-discharge multiplying power eta.
Optionally, the method comprises: initializing the scale capacity of a power grid energy storage power station through the following model:
wind power output model:
wherein ,Pr Rated power of the fan; v in Is the cut-in wind speed; v out To cut out wind speed; v r Is the rated wind speed;
photovoltaic output model:
wherein ,Gr Is the illumination intensity; a is the area of the silicon plate;
is the nominal efficiency; t (T) C Is the temperature of the silicon plate; ρ is the temperature coefficient;
wind-light complementary output model:
P＝P W +P PV
wherein ,PW Is wind power; p (P) PV Is photovoltaic power;
energy storage state of charge model:
energy storage state of charge model:
wherein ,δt Is the loss coefficient; η (eta) c ，η d Respectively charging and discharging efficiency; p (P) Bat Is the charge and discharge power;
is a power factor; i Bat,t,c ，I Bat,t,d Charging and discharging currents respectively; v (V) Bat,c ，V Bat,d Respectively charging and discharging voltages; c (C) Bat Is rated capacity.
According to another aspect of the present invention, there is provided a power grid energy storage configuration device comprising wind, light and photovoltaic, comprising:
the initialization module is used for inputting system parameters of the wind, light and photovoltaic power grid and initializing the scale capacity of the power grid energy storage power station;
the first output module is used for carrying out production simulation calculation according to the appointed operation mode and the initialized scale capacity and outputting a power rejection rate index;
the judging module is used for judging whether the power rejection rate index reaches a preset target value;
the second output module is used for gradually increasing the scale capacity according to a preset step length under the condition that the power rejection rate index does not reach the target value, carrying out iterative computation of production simulation, and outputting and updating the power rejection rate index;
and the judging module is used for judging that the scale capacity is the capacity of the power grid energy storage power station under the condition that the power rejection rate index reaches the target value.
According to a further aspect of the present invention there is provided a computer readable storage medium storing a computer program for performing the method according to any one of the above aspects of the present invention.
According to still another aspect of the present invention, there is provided an electronic device including: a processor; a memory for storing the processor-executable instructions; the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method according to any of the above aspects of the present invention.
Therefore, the energy storage is configured in the power grid containing wind power and photovoltaic, so that the electricity discarding rate of new energy sets such as wind power and photovoltaic can be effectively reduced, the new energy is favorably consumed, and the operation safety and stability of the power system are improved. After energy storage is configured, the wind and light rejection rate of the system is reduced compared with that of the system without energy storage, and compared with that of the system with independent peak shaving of a thermal unit, the system also relieves the contradiction between wind and light consumption and economy. From various angles, the energy storage is an effective way for solving the current power grid peak shaving problem.
Drawings
Exemplary embodiments of the present invention may be more completely understood in consideration of the following drawings:
FIG. 1 is a schematic flow chart of a method for configuring energy storage of a grid including wind, light and photovoltaic according to an exemplary embodiment of the present invention;
FIG. 2 is a schematic diagram of an operation mode of discarding electricity and fast emptying as an energy storage device according to an exemplary embodiment of the present invention;
FIG. 3 is a schematic diagram of a power grid energy storage configuration device including wind and photovoltaic according to an exemplary embodiment of the present invention;
fig. 4 is a structure of an electronic device provided in an exemplary embodiment of the present invention.
Detailed Description
Hereinafter, exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some embodiments of the present invention and not all embodiments of the present invention, and it should be understood that the present invention is not limited by the example embodiments described herein.
It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise.
It will be appreciated by those of skill in the art that the terms "first," "second," etc. in embodiments of the present invention are used merely to distinguish between different steps, devices or modules, etc., and do not represent any particular technical meaning nor necessarily logical order between them.
It should also be understood that in embodiments of the present invention, "plurality" may refer to two or more, and "at least one" may refer to one, two or more.
It should also be appreciated that any component, data, or structure referred to in an embodiment of the invention may be generally understood as one or more without explicit limitation or the contrary in the context.
In addition, the term "and/or" in the present invention is merely an association relationship describing the association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. In the present invention, the character "/" generally indicates that the front and rear related objects are an or relationship.
It should also be understood that the description of the embodiments of the present invention emphasizes the differences between the embodiments, and that the same or similar features may be referred to each other, and for brevity, will not be described in detail.
Meanwhile, it should be understood that the sizes of the respective parts shown in the drawings are not drawn in actual scale for convenience of description.
The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the techniques, methods, and apparatus should be considered part of the specification.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
Embodiments of the invention are operational with numerous other general purpose or special purpose computing system environments or configurations with electronic devices, such as terminal devices, computer systems, servers, etc. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with the terminal device, computer system, server, or other electronic device include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network personal computers, small computer systems, mainframe computer systems, and distributed cloud computing technology environments that include any of the foregoing, and the like.
Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc., that perform particular tasks or implement particular abstract data types. The computer system/server may be implemented in a distributed cloud computing environment in which tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computing system storage media including memory storage devices.
Exemplary method
Fig. 1 is a schematic flow chart of a method for configuring energy storage of a power grid including wind, light and photovoltaic according to an exemplary embodiment of the present invention. The embodiment can be applied to an electronic device, as shown in fig. 1, a power grid energy storage configuration method 100 including wind, light and photovoltaic includes the following steps:
102, carrying out production simulation calculation according to a specified operation mode and initialized scale capacity, and outputting a power rejection rate index;
and 105, judging that the scale capacity is the capacity of the power grid energy storage power station under the condition that the power rejection rate index reaches the target value.
The target value is 3% of the constraint condition of the new energy power rejection rate, and the user can set 5% or other percentage according to the requirement, which is not limited herein.
Optionally, the system parameters include power structure, load characteristics, wind power and photovoltaic new energy output characteristics.
Optionally, the production scale constraints include:
new energy power rejection rate constraint:
wherein ,ΔPpv +ΔP wt The electric quantity is discarded for new energy; p (P) pv +P wt The maximum power generation amount of new energy is estimated;
upper limit constraint of energy storage installed capacity:
wherein ,BESS ，P ESS The electric capacity and the power capacity of the energy storage device respectively.
SOC constraint:
SOC min ≤SOC h ≤SOC max
wherein ,
b is the residual electric quantity in the energy storage ESS Is the rated capacity of the energy storage;
maximum charge-discharge rate constraint:
P ess,h ≤P ess,max
wherein ,Pess,max Is the charge-discharge power corresponding to the maximum charge-discharge multiplying power eta.
Optionally, the method comprises: initializing the scale capacity of a power grid energy storage power station through the following model:
wind power output model:
wherein ,Pr Rated power of the fan; v in Is the cut-in wind speed; v out To cut out wind speed; v r Is the rated wind speed;
photovoltaic output model:
wherein ,Gr Is the illumination intensity; a is the area of the silicon plate;
is the nominal efficiency; t (T) C Is the temperature of the silicon plate; ρ is the temperature coefficient;
wind-light complementary output model:
P＝P W +P PV
wherein ,PW Is wind power; p (P) PV Is photovoltaic power;
energy storage state of charge model:
energy storage state of charge model:
wherein ,δt Is the loss coefficient; η (eta) c ，η d Respectively charging and discharging efficiency; p (P) Bat Is the charge and discharge power;
is a power factor; i Bat,t,c ，I Bat,t,d Charging and discharging currents respectively; v (V) Bat,c ，V Bat,d Respectively charging and discharging voltages; c (C) Bat Is rated capacity.
Specifically, the invention considers the new energy waste rate as a new energy consumption control target. The method is realized by adopting the following specific technical scheme:
1. wind power output model
The output condition of the wind turbine generator system changes along with the change of wind energy in the nature, so that the output of the wind turbine generator system can show randomness and fluctuation. When the wind speed obeys the weibull distribution function, the fan output power is as follows:
in the formula ：Pr Rated power of the fan; v in Is the cut-in wind speed; v out To cut out wind speed; v r Is rated wind speed.
Photovoltaic output model
The intensity of solar radiation and the operating temperature directly influence the output power of the photovoltaic panel.
2. The photovoltaic output model is as follows:
in the formula ：Gr Is the illumination intensity; a is the area of the silicon plate;
is the nominal efficiency; t (T) C Is the temperature of the silicon plate; ρ is the temperature coefficient.
3. Wind-light complementary output model:
the total output power of the wind-solar complementary system is as follows:
P＝P W +P PV
because the fluctuation of wind power is strong and the wind power has the characteristic of inverse peak regulation, the peak-valley difference of the power system is increased, the wind-solar hybrid power system cannot completely meet the load demand, and when the load peak-valley difference is large, the conventional unit participates in peak regulation with high cost. The energy storage is used as a high-quality peak shaving resource, and can be matched with the power fluctuation of an effective smoothing system of a conventional unit.
4. And (3) energy storage model:
it is assumed that the energy storage device is not affected by the change of the external temperature and humidity in a scheduling period, and the voltage is unchanged in the charging and discharging process.
State of charge model:
discharge state model:
in the formula ：δt Is the loss coefficient; η (eta) c ，η d Respectively charging and discharging efficiency; p (P) Bat Is the charge and discharge power;
is a power factor; i Bat,t,c ，I Bat,t,d Charging and discharging currents respectively; v (V) Bat,c ，V Bat,d Respectively charging and discharging voltages; c (C) Bat Is rated capacity.
The constraint conditions include:
1. new energy power rejection rate constraint
According to the requirement of controlling the electricity discarding rate in the actual operation of the new energy, the constraint of the electricity discarding rate of the new energy, namely the annual electricity discarding rate of wind power and photovoltaic is respectively smaller than the target requirement (generally 3% or 5% can be taken as required), and the energy storing capacity is required to be larger than a certain value in order to absorb the unused new energy by the energy storing device as much as possible.
in the formula ：ΔPpv +ΔP wt The electric quantity is discarded for new energy; p (P) pv +P wt The maximum power generation amount of the new energy is estimated.
2. Upper limit constraint of energy storage loading capacity
In consideration of higher cost of the energy storage device, the initial energy storage investment is preferably not more than 30% of the system investment, and the corresponding energy storage electric quantity capacity and power capacity are not more than the upper limit in order to ensure the benefit of the power plant.
SOC constraints
The state of charge SOC is an important parameter for energy storage, and represents the ratio of the remaining capacity in the energy storage to the rated capacity of the energy storage, and the state of charge of the battery should be within an allowable range.
SOC min ≤SOC h ≤SOC max
Maximum charge-discharge rate constraint
P ess,h ≤P ess,max
in the formula ：Pess,max Is the charge-discharge power corresponding to the maximum charge-discharge multiplying power eta. And is also provided with
The invention takes the operation mode of electricity discarding and electricity storing and quick emptying as the operation strategy of the energy storage device. As shown in fig. 2. The strategy aims at receiving new energy waste amount as much as possible, the energy storage power station stores electricity when the system discards electricity, and the system does not discard electricity and the thermal power can continue to press out force to generate electricity to empty so as to receive new energy waste in the next period. The strategy has the advantages that the scheduling is simple, the operation is easy, the energy storage power station can be fully utilized, and the effect of reducing the power rejection rate is good; the disadvantage is that the energy storage system is frequently operated, and is switched back and forth between the storage and the distribution, thereby influencing the service life of energy storage, and the energy storage system has no substitution benefit of the thermal power installation.
The detailed configuration steps of the power grid energy storage configuration method containing wind power and photovoltaic are as follows:
step 1: the system parameters (including power supply structure, load characteristics, wind power and photovoltaic new energy output characteristics and the like) required by calculation are input into production simulation (the production simulation is a simulation method for simulating the running condition of each generator set and calculating the production cost of a power generation system under a given load condition), and each generator set is modeled according to the model.
Step 2: and (3) preliminarily planning an energy storage power station scale sequence (comprising an energy storage installation machine, a time length, an installation position and the like), and calculating according to the adjusted energy storage power station scale capacity and the like if the energy storage power station scale sequence is not calculated for the first time, wherein related parameters cannot exceed the constraint conditions.
Step 3: then, an operation mode of the energy storage power station is designated;
step 4: production simulation calculations are performed (production simulation generally includes the steps of:
(1) and forming a load continuous curve of the corresponding time stage according to the input load data.
(2) And arranging a unit maintenance plan according to a reasonable principle.
(3) And determining the load sequence of the unit. The thermal power generating units can be arranged according to economic benefits, the economic load sequence of each unit is listed, and the requirement of spare capacity is met. The hydroelectric generating set is arranged with proper running position for bearing load according to the load curve according to the planned water consumption.
(4) And calculating the generated energy of each unit one by one according to the loaded sequence of the units. The load persistence curve should be modified to reflect the effects of the forced outage of the generator set.
(5) And calculating indexes such as fuel cost operation cost and reliability of the power generation system, and counting to obtain indexes such as new energy electricity rejection rate after production simulation calculation. The power system source network load integrated production simulation software adopted in the calculation supports the output arrangement of various power generation resources (thermal power, hydropower, nuclear power, gas-electricity, pumping storage, energy storage and new energy) within 1 year (8760 hours) of a plurality of subareas (provinces and regional power grids), calculates the power and electricity exchange requirements of the cross-region power, and forms analysis results such as power balance, electricity balance, peak regulation balance, starting position, new energy power rejection rate and the like;
step 5: if the new energy power rejection rate index reaches the set target value (for example, the new energy power rejection rate index is taken to be 5%), the calculation is ended. Otherwise, adjusting the scale of the energy storage power station (increasing the capacity of the energy storage power station, for example, taking the step length of the capacity value of the energy storage power station to be 10 MW), and converting to the step 2 to continuously carry out production simulation calculation;
step 6: and finally, taking the capacity of the energy storage power station when the new energy electricity rejection rate index reaches a set target value as the finally determined energy storage configuration capacity.
Therefore, the energy storage technology can realize the storage and release of electric energy, and the energy storage is matched with the peak regulation of a conventional unit to effectively improve the peak regulation pressure of a power grid and increase the wind-solar acceptance. The method has important significance in capacity optimization configuration of the energy storage device in the multi-power integrated power grid containing wind power and photovoltaic. The energy storage is configured in the power grid containing wind power and photovoltaic, so that the electricity discarding rate of new energy sets such as wind power and photovoltaic can be effectively reduced, the new energy is favorably consumed, and the operation safety and stability of the power system are improved. After energy storage is configured, the wind and light rejection rate of the system is reduced compared with that of the system without energy storage, and compared with that of the system with independent peak shaving of a thermal unit, the system also relieves the contradiction between wind and light consumption and economy. From various angles, the energy storage is an effective way for solving the current power grid peak shaving problem.
Exemplary apparatus
Fig. 3 is a schematic structural diagram of a power grid energy storage configuration device including wind, light and photovoltaic according to an exemplary embodiment of the present invention. As shown in fig. 3, the apparatus 300 includes:
the initialization module is used for inputting system parameters of the wind, light and photovoltaic power grid and initializing the scale capacity of the power grid energy storage power station;
the first output module is used for carrying out production simulation calculation according to the appointed operation mode and the initialized scale capacity and outputting a power rejection rate index;
the judging module is used for judging whether the power rejection rate index reaches a preset target value;
the second output module is used for gradually increasing the scale capacity according to a preset step length under the condition that the power rejection rate index does not reach the target value, carrying out iterative computation of production simulation, and outputting and updating the power rejection rate index;
and the judging module is used for judging that the scale capacity is the capacity of the power grid energy storage power station under the condition that the power rejection rate index reaches the target value.
Optionally, the system parameters include power structure, load characteristics, wind power and photovoltaic new energy output characteristics.
Optionally, the production scale constraints include:
new energy power rejection rate constraint:
wherein ,ΔPpv +ΔP wt The electric quantity is discarded for new energy; p (P) pv +P wt The maximum power generation amount of new energy is estimated;
upper limit constraint of energy storage installed capacity:
wherein ,BESS ，P ESS The electric capacity and the power capacity of the energy storage device respectively.
SOC constraint:
SOC min ≤SOC h ≤SOC max
wherein ,
b is the residual electric quantity in the energy storage ESS Is the rated capacity of the energy storage;
maximum charge-discharge rate constraint:
P ess,h ≤P ess,max
wherein ,Pess,max Is the charge-discharge power corresponding to the maximum charge-discharge multiplying power eta.
Optionally, the method comprises: initializing the scale capacity of a power grid energy storage power station through the following model:
wind power output model:
wherein ,Pr Rated power of the fan; v in Is the cut-in wind speed; v out To cut out wind speed; v r Is the rated wind speed;
photovoltaic output model:
wherein ,Gr Is the illumination intensity; a is the area of the silicon plate;
is the nominal efficiency; t (T) C Is the temperature of the silicon plate; ρ is the temperature coefficient;
wind-light complementary output model:
P＝P W +P PV
wherein ,PW Is wind power; p (P) PV Is photovoltaic power;
energy storage state of charge model:
energy storage state of charge model:
wherein ,δt Is the loss coefficient; η (eta) c ，η d Respectively charging and discharging efficiency; p (P) Bat Is the charge and discharge power;
is a power factor; i Bat,t,c ，I Bat,t,d Charging and discharging currents respectively; v (V) Bat,c ，V Bat,d Respectively charging and discharging voltages; c (C) Bat Is rated capacity.
Exemplary electronic device
Fig. 4 is a structure of an electronic device provided in an exemplary embodiment of the present invention. As shown in fig. 4, the electronic device 40 includes one or more processors 41 and memory 42.
The processor 41 may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.
In addition, the input device 43 may also include, for example, a keyboard, a mouse, and the like.
The output device 44 can output various information to the outside. The output device 44 may include, for example, a display, speakers, a printer, and a communication network and remote output apparatus connected thereto, etc.
Of course, only some of the components of the electronic device that are relevant to the present invention are shown in fig. 4 for simplicity, components such as buses, input/output interfaces, etc. being omitted. In addition, the electronic device may include any other suitable components depending on the particular application.
Exemplary computer program product and computer readable storage Medium
In addition to the methods and apparatus described above, embodiments of the invention may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform steps in a method according to various embodiments of the invention described in the "exemplary methods" section of this specification.
The computer program product may write program code for performing operations of embodiments of the present invention in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present invention may also be a computer-readable storage medium, having stored thereon computer program instructions which, when executed by a processor, cause the processor to perform the steps in a method of mining history change records according to various embodiments of the present invention described in the "exemplary methods" section above in this specification.
The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The basic principles of the present invention have been described above in connection with specific embodiments, however, it should be noted that the advantages, benefits, effects, etc. mentioned in the present invention are merely examples and not intended to be limiting, and these advantages, benefits, effects, etc. are not to be considered as essential to the various embodiments of the present invention. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, as the invention is not necessarily limited to practice with the above described specific details.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different manner from other embodiments, so that the same or similar parts between the embodiments are mutually referred to. For system embodiments, the description is relatively simple as it essentially corresponds to method embodiments, and reference should be made to the description of method embodiments for relevant points.
The block diagrams of the devices, systems, apparatuses, systems according to the present invention are merely illustrative examples and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by one of skill in the art, the devices, systems, apparatuses, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.
The method and system of the present invention may be implemented in a number of ways. For example, the methods and systems of the present invention may be implemented by software, hardware, firmware, or any combination of software, hardware, firmware. The above-described sequence of steps for the method is for illustration only, and the steps of the method of the present invention are not limited to the sequence specifically described above unless specifically stated otherwise. Furthermore, in some embodiments, the present invention may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present invention. Thus, the present invention also covers a recording medium storing a program for executing the method according to the present invention.
It is also noted that in the systems, devices and methods of the present invention, components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent aspects of the present invention. The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the invention. Thus, the present invention is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the invention to the form disclosed herein. Although a number of example aspects and embodiments have been discussed above, a person of ordinary skill in the art will recognize certain variations, modifications, alterations, additions, and subcombinations thereof.
Claims (7)
1. The utility model provides a power grid energy storage configuration method containing wind, light and photovoltaic which is characterized by comprising the following steps:
inputting system parameters of a wind-solar power grid and a photovoltaic power grid, and initializing the scale capacity of the power grid energy storage power station;
according to the appointed operation mode and the initialized scale capacity, carrying out production simulation calculation and outputting a power rejection rate index;
judging whether the electricity rejection rate index reaches a preset target value or not;
under the condition that the electricity rejection rate index does not reach the target value, gradually increasing the scale capacity according to a preset step length, performing iterative computation of production simulation, and outputting and updating the electricity rejection rate index;
and under the condition that the electricity rejection rate index reaches the target value, judging that the scale capacity is the capacity of the power grid energy storage power station.
2. The method of claim 1, wherein the system parameters include power structure, load characteristics, wind power and photovoltaic new energy output characteristics.
3. The method of claim 1, wherein the production scale constraints include:
new energy power rejection rate constraint:
wherein ,ΔPpv +ΔP wt The electric quantity is discarded for new energy; p (P) pv +P wt The maximum power generation amount of new energy is estimated;
upper limit constraint of energy storage installed capacity:
wherein ,BESS ，P ESS The electric capacity and the power capacity of the energy storage device respectively.
SOC constraint:
SOC min ≤SOC h ≤SOC max
wherein ,
b is the residual electric quantity in the energy storage ESS Is the rated capacity of the energy storage;
maximum charge-discharge rate constraint:
P ess,h ≤P ess,max
wherein ,Pess,max Is the charge-discharge power corresponding to the maximum charge-discharge multiplying power eta.
4. The method according to claim 1, characterized in that it comprises: initializing the scale capacity of the grid energy storage power station by the following model:
wind power output model:
wherein ,Pr Rated power of the fan; v in Is the cut-in wind speed; v out To cut out wind speed; v r For the foreheadFixing the wind speed;
photovoltaic output model:
wherein ,Gr Is the illumination intensity; a is the area of the silicon plate;
is the nominal efficiency; t (T) C Is the temperature of the silicon plate; ρ is the temperature coefficient;
wind-light complementary output model:
P＝P W +P PV
wherein ,PW Is wind power; p (P) PV Is photovoltaic power;
energy storage state of charge model:
energy storage state of charge model:
wherein ,δt Is the loss coefficient; η (eta) c ，η d Respectively charging and discharging efficiency; p (P) Bat Is the charge and discharge power;
is a power factor; i Bat,t,c ，I Bat,t,d Charging and discharging currents respectively; v (V) Bat,c ，V Bat,d Respectively charging and discharging voltages; c (C) Bat Is rated capacity.
5. A power grid energy storage configuration device comprising wind, light and photovoltaic, comprising:
the initialization module is used for inputting system parameters of the wind, light and photovoltaic power grid and initializing the scale capacity of the power grid energy storage power station;
the first output module is used for carrying out production simulation calculation according to the appointed operation mode and the initialized scale capacity and outputting a power rejection rate index;
the judging module is used for judging whether the power rejection rate index reaches a preset target value;
the second output module is used for gradually increasing the scale capacity according to a preset step length under the condition that the electricity rejection rate index does not reach the target value, carrying out iterative computation of production simulation, and outputting and updating the electricity rejection rate index;
and the judging module is used for judging that the scale capacity is the capacity of the power grid energy storage power station under the condition that the power rejection rate index reaches the target value.
6. A computer readable storage medium, characterized in that the storage medium stores a computer program for executing the method of any of the preceding claims 1-4.
7. An electronic device, the electronic device comprising:
a processor;
a memory for storing the processor-executable instructions;
the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method of any of the preceding claims 1-4.
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| CN116992242A (en) * | 2023-09-26 | 2023-11-03 | 华北电力大学 | Thermal power-energy storage joint overhaul optimization method and system and electronic equipment |
| CN116992242B (en) * | 2023-09-26 | 2023-12-22 | 华北电力大学 | Thermal power-energy storage joint overhaul optimization method and system and electronic equipment |
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