CN117200250A - Fire-storage combined frequency modulation control method and system - Google Patents
Fire-storage combined frequency modulation control method and system Download PDFInfo
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Abstract
The application provides a control method and a control system for fire-storage combined frequency modulation, and belongs to the field of fire-storage combined frequency modulation. The method comprises the following steps: acquiring unit operation process data, wherein the unit operation process data comprises real-time operation data and AGC historical data of a power plant; inputting the real-time operation data into a preset unit operation state evaluation model to obtain a unit state prediction result; based on the unit state prediction result and the AGC frequency modulation instruction, digital twin virtual frequency modulation is carried out according to real-time operation data, and a virtual simulation result is obtained; determining a unit AGC adjustment scheme and an energy storage device charging scheme based on the virtual simulation result and the power plant AGC historical data; and generating a frequency modulation control instruction according to the unit AGC adjustment scheme and the energy storage device charging scheme. The method realizes the purposes of AGC correction, short-term prediction, safety check and energy storage detection on the AGC fire-storage combined frequency modulation technology based on the mathematical twin technology.
Description
Technical Field
The application relates to the field of fire-storage combined frequency modulation, in particular to a control method and a control system for fire-storage combined frequency modulation.
Background
The fire-storage combined frequency modulation principle is a novel electric power regulation technology, and balance regulation of an electric power system is realized through combined regulation of a combustion control system and an energy storage system of a thermal power plant. The advent of this technology has provided new solutions for stable operation of power systems.
The energy storage system is independently connected in parallel in the traditional AGC fire-storage combined frequency modulation technology and is only used as the supplement of AGC actions of the thermal power generating unit, so that the energy storage system control logic is cracked, the thermal power generating unit is slow in frequency modulation response, large in fatigue damage and poor in frequency modulation precision, the energy storage system is high in impulse and discharge frequency loss, high-order harmonic generated by PCS is dense, and the problem that early warning information is lacking in the traditional fire-storage combined frequency modulation is solved. Therefore, a need exists for a method for solving the problems of strong power grid intermittence, high fluctuation power, frequent frequency modulation requirements and the like caused by large-scale grid connection of current fluctuation energy sources (such as an energy storage system and a thermal power generating unit).
Disclosure of Invention
The embodiment of the application aims to provide a control method and a control system for fire and storage combined frequency modulation, which at least solve the problems of strong intermittence, high fluctuation power and frequent frequency modulation requirements of a power grid caused by large-scale grid connection of an energy storage system and a thermal power unit.
In order to achieve the above object, a first aspect of the present application provides a control method for fire-storage joint frequency modulation, including:
acquiring unit operation process data, wherein the unit operation process data comprises real-time operation data and AGC historical data of a power plant;
inputting the real-time operation data into a preset unit operation state evaluation model to obtain a unit state prediction result;
based on the unit state prediction result and the AGC frequency modulation instruction, digital twin virtual frequency modulation is carried out according to real-time operation data, and a virtual simulation result is obtained; the AGC frequency modulation instruction is generated based on the current time grid AGC plan data;
determining a unit AGC adjustment scheme and an energy storage device charging scheme based on the virtual simulation result and the power plant AGC historical data;
and generating a frequency modulation control instruction according to the unit AGC adjustment scheme and the energy storage device charging scheme.
Optionally, the real-time operation data includes:
the method comprises the steps of current time power grid AGC plan data, real-time state data of a thermal power generating unit and real-time state data of an energy storage device.
Optionally, the control method of the fire-storage combined frequency modulation further comprises the following steps:
based on AGC historical data of a power plant, real-time state data of a thermal power unit and real-time state data of an energy storage device, an LSTM algorithm is adopted to establish a unit running state evaluation initial model;
determining a training sample set based on the power plant AGC history data;
based on an Adam algorithm, training the built unit running state evaluation initial model by using a training sample set to obtain a preset unit running state evaluation model.
Optionally, determining the training sample set based on the AGC history data of the power plant includes:
preprocessing AGC historical data of a power plant;
and carrying out correlation analysis on the preprocessed data to determine a training sample set.
Optionally, preprocessing the AGC history data of the power plant includes:
carrying out data cleaning on AGC historical data of a power plant;
and correcting the abnormal value of the data after the data cleaning.
Optionally, the performing correlation analysis on the preprocessed data includes:
and carrying out correlation analysis on the preprocessed data by adopting a spin correlation coefficient algorithm.
Optionally, the control method of the fire-storage combined frequency modulation further comprises the following steps:
based on a unit state prediction result, a pre-AGC instruction is sent to the thermal power unit;
based on the pre-AGC instruction, digital twin virtual operation is carried out on real-time state data of the thermal power generating unit and real-time state data of the energy storage device.
Optionally, the virtual simulation result includes a frequency modulation result and SOC state data;
the determining a unit AGC adjustment scheme and an energy storage device charging scheme based on the virtual simulation result and the power plant AGC historical data includes:
determining a unit AGC adjustment scheme based on the frequency modulation result;
based on the SOC state data and the plant AGC history data, an energy storage device charging scheme is determined.
Optionally, the frequency modulation result at least comprises a plurality of thermal power generating unit simulation operation parameters and a plurality of energy storage device simulation operation parameters;
above-mentioned based on the frequency modulation result, confirm unit AGC adjustment scheme, include:
performing safety verification on the simulation operation parameters of the thermal power generating units and the simulation operation parameters of the energy storage devices to obtain verification results; the verification result comprises error values between simulation operation parameters and safety operation standards of each thermal power generating unit and error values between simulation operation parameters and safety operation standards of each energy storage device;
if the number of the error values larger than the preset threshold value is smaller than the first preset number, the unit AGC adjustment scheme is an AGC optimization scheme;
if the number of the error values larger than the preset threshold value is not smaller than the first preset number and not larger than the second preset number, the unit AGC adjusting scheme is to stop the AGC frequency modulation scheme;
if the number of error values larger than the preset threshold value is larger than the second preset number, the unit AGC adjustment scheme is a reset unit AGC scheme.
Optionally, the frequency modulation result further includes frequency modulation precision, frequency modulation margin and frequency modulation cost;
the AGC optimization scheme is as follows:
and optimizing the AGC plan data of the power grid at the current moment by using an AGC optimization algorithm according to the frequency modulation precision, the frequency modulation margin and the frequency modulation cost to obtain an AGC optimized signal.
Optionally, the control method of the fire-storage combined frequency modulation further comprises the following steps:
and sending an avoidance instruction to the energy storage device according to the real-time operation data.
Optionally, the control method of the fire-storage combined frequency modulation further comprises the following steps:
according to the frequency modulation control instruction, carrying out real-time regulation and control on the thermal power generating unit and the energy storage device to obtain a real-time regulation and control result;
and sending the real-time regulation and control result to the measurement and control terminal.
The second aspect of the application provides a fire-storage joint frequency modulation control system, comprising:
the unit operation process data acquisition module is used for acquiring unit operation process data, wherein the unit operation process data comprises real-time operation data and AGC historical data of a power plant;
the unit state prediction module is used for inputting real-time operation data into a preset unit operation state evaluation model to obtain a unit state prediction result;
the virtual frequency modulation module is used for carrying out digital twin virtual frequency modulation according to real-time operation data based on the unit state prediction result and the AGC frequency modulation instruction to obtain a virtual simulation result; the AGC frequency modulation instruction is generated based on the current time grid AGC plan data;
the scheme determining module is used for determining a unit AGC adjustment scheme and an energy storage device charging scheme based on the virtual simulation result and the power plant AGC historical data;
and the frequency modulation control instruction generation module is used for generating a frequency modulation control instruction according to the unit AGC adjustment scheme and the energy storage device charging scheme.
In a third aspect the application provides a machine readable storage medium having stored thereon instructions which when executed by a processor cause the processor to be configured to perform the control method of fire and store joint frequency modulation described above.
In a fourth aspect of the present application, an electronic device is provided, the electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the control method of fire and storage joint frequency modulation when executing the computer program.
According to the technical scheme, the control method and the control system for the fire-storage joint frequency modulation are provided, short-term predictive analysis is carried out on the acquired real-time operation data through the preset unit operation state evaluation model, so that the current state of the unit and the follow-up trend of the unit are identified, and a unit state prediction result is obtained. And triggering a digital twin body corresponding to the unit to perform digital twin virtual operation based on the unit state prediction result. Based on the AGC frequency modulation instruction, the digital twin body corresponding to the unit carries out simultaneous virtual frequency modulation according to the real-time state data of the thermal power unit and the real-time state data of the energy storage device, and a virtual simulation result is obtained. And carrying out safety verification on the virtual simulation result according to the AGC historical data of the power plant, and determining a unit AGC adjustment scheme and an energy storage device charging scheme, wherein the AGC adjustment scheme represents a scheme for correcting AGC, and the energy storage device charging scheme represents a real-time charging and discharging scheme for an energy storage device. Thereby generating a frequency modulation control instruction according to the AGC adjustment scheme of the thermal power unit and the charging scheme of the energy storage device, and simultaneously regulating and controlling the thermal power unit and the energy storage device. The method realizes the purposes of AGC correction, short-term prediction, safety check and energy storage detection on the AGC fire-storage combined frequency modulation technology based on the mathematical twin technology, and further solves the problems of strong intermittence, high fluctuation power and frequent frequency modulation requirements of the power grid caused by large-scale grid connection of the current fluctuation energy sources.
Additional features and advantages of embodiments of the application will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain, without limitation, the embodiments of the application. In the drawings:
FIG. 1 is a flow chart of a control method for fire and storage joint frequency modulation according to an embodiment of the present application;
FIG. 2 is a block diagram of a fire and storage joint frequency modulation control system provided by an embodiment of the application;
fig. 3 is a schematic structural diagram of an electronic device according to a preferred embodiment of the present application.
Description of the reference numerals
10-electronic device, 100-processor, 101-memory, 102-computer program.
Detailed Description
The following describes specific embodiments of the present application in detail with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the application, are not intended to limit the application.
FIG. 1 is a flow chart of a control method for fire and storage joint frequency modulation according to an embodiment of the application. As shown in fig. 1, an embodiment of the present application provides a control method for fire-storage joint frequency modulation, including:
s110: acquiring unit operation process data, wherein the unit operation process data comprises real-time operation data and AGC historical data of a power plant;
wherein, the real-time operation data includes: the method comprises the steps of current time power grid AGC plan data, real-time state data of a thermal power generating unit and real-time state data of an energy storage device.
Specifically, various data (including current time power grid AGC plan data, real-time state data of a thermal power unit, real-time state data of an energy storage device and AGC historical data of a power plant) generated in the unit operation process data, namely the unit operation process are collected.
S120: inputting the real-time operation data into a preset unit operation state evaluation model to obtain a unit state prediction result;
specifically, real-time operation data (current time power grid AGC plan data, real-time state data of the thermal power unit and real-time state data of the energy storage device) are analyzed through a preset unit operation state evaluation model, so that unit state prediction is performed based on the preset unit operation state evaluation model, and therefore the current state of the unit and the follow-up trend of the unit are identified, and a unit state prediction result is obtained.
S130: based on the unit state prediction result and the AGC frequency modulation instruction, digital twin virtual frequency modulation is carried out according to real-time operation data, and a virtual simulation result is obtained; the AGC frequency modulation instruction is generated based on the current time grid AGC plan data;
in some implementations of this embodiment, the method for controlling the fire-storage joint frequency modulation further includes: based on a unit state prediction result, a pre-AGC instruction is sent to the thermal power unit; based on the pre-AGC instruction, digital twin virtual operation is carried out on real-time state data of the thermal power generating unit and real-time state data of the energy storage device.
Specifically, a unit state prediction result is input into a frequency modulation control system corresponding to the unit, and a pre-AGC instruction is provided for the thermal power unit by combining feedback real-time state data of the thermal power unit and real-time state data of an energy storage device, wherein the pre-AGC instruction is performed before the AGC frequency modulation instruction. And triggering a digital twin body corresponding to the unit to perform digital twin virtual operation based on the pre-AGC instruction. And then based on the AGC frequency modulation instruction, the digital twin body corresponding to the unit performs simultaneous period virtual frequency modulation according to the real-time state data of the thermal power unit and the real-time state data of the energy storage device, and a virtual simulation result is obtained. The virtual simulation result can represent the result brought by the subsequent frequency modulation of the thermal power unit based on the real-time state data of the thermal power unit and the real-time state data of the energy storage device.
S140: determining a unit AGC adjustment scheme and an energy storage device charging scheme based on the virtual simulation result and the power plant AGC historical data;
in some implementations of this embodiment, the virtual simulation results include a frequency modulation result and SOC state data; the determining a unit AGC adjustment scheme and an energy storage device charging scheme based on the virtual simulation result and the power plant AGC historical data includes: determining a unit AGC adjustment scheme based on the frequency modulation result; based on the SOC state data and the plant AGC history data, an energy storage device charging scheme is determined.
Specifically, a unit AGC adjustment scheme is determined according to the frequency modulation result. According to the SOC state data, the SOC state is twinned and displayed, a real-time charging and discharging scheme is provided for the energy storage device by combining the AGC historical data of the power plant, and the real-time charging and discharging scheme is transmitted to the action of the frequency modulation control system.
In some implementations of this embodiment, the frequency modulation result includes at least a plurality of thermal power generating unit simulation operation parameters and a plurality of energy storage device simulation operation parameters; above-mentioned based on the frequency modulation result, confirm unit AGC adjustment scheme, include: performing safety verification on the simulation operation parameters of the thermal power generating units and the simulation operation parameters of the energy storage devices to obtain verification results; the verification result comprises error values between simulation operation parameters and safety operation standards of each thermal power generating unit and error values between simulation operation parameters and safety operation standards of each energy storage device; if the number of the error values larger than the preset threshold value is smaller than the first preset number, the unit AGC adjustment scheme is an AGC optimization scheme; if the number of the error values larger than the preset threshold value is not smaller than the first preset number and not larger than the second preset number, the unit AGC adjusting scheme is to stop the AGC frequency modulation scheme; if the number of error values larger than the preset threshold value is larger than the second preset number, the unit AGC adjustment scheme is a reset unit AGC scheme.
Specifically, safety verification is performed on the multiple thermal power generating unit simulation operation parameters and the multiple energy storage device simulation operation parameters in the virtual simulation result, and if the verification error is small (that is, the number of error values between the simulation operation parameters and the safety operation standard is larger than a preset threshold value and smaller than a first preset number), the AGC signal is optimized by using an AGC optimization scheme until the safety operation standard is met. And if the number of the error values larger than the preset threshold value is not smaller than the first preset number and not larger than the second preset number, stopping the expected AGC action and the AGC optimization action according to the AGC stopping frequency modulation scheme. If the number of error values larger than the preset threshold value is larger than the second preset number, the safety operation requirement is not met, and the AGC of the whole unit needs to be reset and adjusted.
In some implementations of this embodiment, the tuning result further includes tuning accuracy, tuning margin, and tuning cost; the AGC optimization scheme is as follows: and optimizing the AGC plan data of the power grid at the current moment by using an AGC optimization algorithm according to the frequency modulation precision, the frequency modulation margin and the frequency modulation cost to obtain an AGC optimized signal.
Specifically, in the process of carrying out virtual frequency modulation in the same period by utilizing a digital twin body corresponding to the unit, real-time analysis is carried out on frequency modulation precision, frequency modulation margin and frequency modulation cost so as to provide an AGC (automatic gain control) optimization signal for a frequency modulation control system corresponding to the unit and send out a corresponding AGC optimization instruction. Therefore, the AGC signal is optimized, so that the load response of the unit is quickened, and meanwhile, the large fluctuation of parameters caused by overshoot is avoided.
In some implementations of this embodiment, the method further comprises: and diagnosing the state of the unit, and providing corresponding fault analysis and processing suggestions according to the abnormal conditions.
S150: and generating a frequency modulation control instruction according to the unit AGC adjustment scheme and the energy storage device charging scheme.
Specifically, the thermal power unit and the energy storage device are regulated and controlled simultaneously through frequency modulation control instructions generated according to the unit AGC regulation scheme and the energy storage device charging scheme.
In the implementation process, the method firstly carries out short-term prediction analysis on the acquired real-time operation data through a preset unit operation state evaluation model so as to identify the current state of the unit and the subsequent trend of the unit and obtain a unit state prediction result. And then based on a unit state prediction result, triggering a digital twin body corresponding to the unit to perform digital twin virtual operation. Based on the AGC frequency modulation instruction, the digital twin body corresponding to the unit carries out simultaneous virtual frequency modulation according to the real-time state data of the thermal power unit and the real-time state data of the energy storage device, and a virtual simulation result is obtained. And carrying out safety verification on the virtual simulation result according to the AGC historical data of the power plant, and determining a unit AGC adjustment scheme and an energy storage device charging scheme, wherein the AGC adjustment scheme represents a scheme for correcting AGC, and the energy storage device charging scheme represents a real-time charging and discharging scheme for an energy storage device. Thereby generating a frequency modulation control instruction according to the AGC adjustment scheme of the thermal power unit and the charging scheme of the energy storage device, and simultaneously regulating and controlling the thermal power unit and the energy storage device. The method realizes the purposes of AGC correction, short-term prediction, safety check and energy storage detection on the AGC fire-storage combined frequency modulation technology based on the mathematical twin technology, and further solves the problems of strong intermittence, high fluctuation power and frequent frequency modulation requirements of the power grid caused by large-scale grid connection of the current fluctuation energy sources.
In some implementations of this embodiment, the method for controlling the fire-storage joint frequency modulation further includes:
based on AGC historical data of a power plant, real-time state data of a thermal power unit and real-time state data of an energy storage device, an LSTM algorithm is adopted to establish a unit running state evaluation initial model;
the set operation state evaluation initial model establishment can adopt a three-dimensional visualization technology as a support, and a 3D simulation model is utilized for development and operation.
Determining a training sample set based on the power plant AGC history data;
based on an Adam algorithm, training the built unit running state evaluation initial model by using a training sample set to obtain a preset unit running state evaluation model.
Specifically, a training sample set is input into a unit running state evaluation initial model, and weights of the unit running state evaluation initial model are trained by using an Adam algorithm to obtain a preset unit running state evaluation model. The initial model for unit running state evaluation is an LSTM model, the LSTM model is trained by adopting an Adam method, the development of an SDG algorithm is realized, and the learning rate of network parameters is adaptively adjusted in the training process to accelerate data convergence.
In some implementations of this embodiment, determining the training sample set based on the AGC history data of the power plant includes:
preprocessing AGC historical data of a power plant;
the preprocessing of the AGC historical data of the power plant comprises the following steps: carrying out data cleaning on AGC historical data of a power plant; and correcting the abnormal value of the data after the data cleaning.
Specifically, the AGC history data of the power plant is subjected to data cleaning so as to be subjected to the next processing. And screening out related abnormal data such as sensor faults, mechanical faults, data transmission errors and the like from the data after data cleaning by using the similar AGC data of the historical simultaneous segment, correcting, and deleting the data with larger deviation from the data after data cleaning.
And carrying out correlation analysis on the preprocessed data to determine a training sample set.
In some implementations of this embodiment, the performing correlation analysis on the preprocessed data includes:
and carrying out correlation analysis on the preprocessed data by adopting a spin correlation coefficient algorithm.
Specifically, a spin correlation coefficient algorithm is utilized to perform correlation analysis on the preprocessed data, and a variable and a time step are determined, so that a training sample set is determined. The method comprises the steps of selecting a spline correlation coefficient algorithm to analyze the correlation between main variable parameters of each unit device in AGC historical data of a thermal power plant and a power grid historical AGC plan so as to determine input variables of an initial model for evaluating the running state of the input unit.
In some implementations of this embodiment, the method for controlling the fire-storage joint frequency modulation further includes: and sending an avoidance instruction to the energy storage device according to the real-time operation data. Specifically, according to dodging the instruction, control energy memory and dodge in cooperation with the real-time action condition of thermal power generating unit, guarantee that thermal power generating unit bears the basic frequency modulation of period of time with the climbing speed that is slower.
In some implementations of this embodiment, the method for controlling the fire-storage joint frequency modulation further includes: according to the frequency modulation control instruction, carrying out real-time regulation and control on the thermal power generating unit and the energy storage device to obtain a real-time regulation and control result; and sending the real-time regulation and control result to the measurement and control terminal.
In some implementations of the present embodiment, based on a machine learning algorithm, the most valuable features are extracted, such as failure frequency, average working time, energy consumption rate, capacity utilization rate of the unit, frequency modulation key coefficients of the thermal power unit and the energy storage device are identified, and feedback is tracked in real time in a digital twin model, wherein main identification parameters are as follows: feedback time t of unit s1 ,t s2 The method comprises the steps of carrying out a first treatment on the surface of the Steam volume time constant T CG ,T CZ ,T CD The method comprises the steps of carrying out a first treatment on the surface of the Volume time constant T RH ，T CH The method comprises the steps of carrying out a first treatment on the surface of the A unit difference adjustment coefficient R; cylinder power F GP ,F ZP ,F DP The method comprises the steps of carrying out a first treatment on the surface of the Climbing capacity K 1 ,K 2 The method comprises the steps of carrying out a first treatment on the surface of the Energy storage charge-discharge efficiency eta b1 ，η b2 The method comprises the steps of carrying out a first treatment on the surface of the Energy storage rated capacity E M The method comprises the steps of carrying out a first treatment on the surface of the Maximum and minimum limit E of energy storage available capacity MAX ,E MIN The method comprises the steps of carrying out a first treatment on the surface of the Limit P of maximum and minimum energy storage frequency modulation output V The method comprises the steps of carrying out a first treatment on the surface of the Limit H of maximum and minimum energy storage climbing rate I The method comprises the steps of carrying out a first treatment on the surface of the Time constant T of time delay characteristic S The method comprises the steps of carrying out a first treatment on the surface of the Sag factor U; real-time power weighting coefficient theta of energy storage R The method comprises the steps of carrying out a first treatment on the surface of the Energy storage residual capacity weighting coefficient gamma E 。
FIG. 2 is a block diagram of a fire and storage joint frequency modulation control system provided by an embodiment of the application. As shown in fig. 2, an embodiment of the present application provides a fire-storage joint frequency modulation control system, including:
the unit operation process data acquisition module is used for acquiring unit operation process data, wherein the unit operation process data comprises real-time operation data and AGC historical data of a power plant;
the unit state prediction module is used for inputting real-time operation data into a preset unit operation state evaluation model to obtain a unit state prediction result;
the virtual frequency modulation module is used for carrying out digital twin virtual frequency modulation according to real-time operation data based on the unit state prediction result and the AGC frequency modulation instruction to obtain a virtual simulation result; the AGC frequency modulation instruction is generated based on the current time grid AGC plan data;
the scheme determining module is used for determining a unit AGC adjustment scheme and an energy storage device charging scheme based on the virtual simulation result and the power plant AGC historical data;
and the frequency modulation control instruction generation module is used for generating a frequency modulation control instruction according to the unit AGC adjustment scheme and the energy storage device charging scheme.
In the implementation process, the system firstly carries out short-term prediction analysis on the acquired real-time operation data through a preset unit operation state evaluation model so as to identify the current state of the unit and the subsequent trend of the unit and obtain a unit state prediction result. And then based on a unit state prediction result, triggering a digital twin body corresponding to the unit to perform digital twin virtual operation. Based on the AGC frequency modulation instruction, the digital twin body corresponding to the unit carries out simultaneous virtual frequency modulation according to the real-time state data of the thermal power unit and the real-time state data of the energy storage device, and a virtual simulation result is obtained. And carrying out safety verification on the virtual simulation result according to the AGC historical data of the power plant, and determining a unit AGC adjustment scheme and an energy storage device charging scheme, wherein the AGC adjustment scheme represents a scheme for correcting AGC, and the energy storage device charging scheme represents a real-time charging and discharging scheme for an energy storage device. Thereby generating a frequency modulation control instruction according to the AGC adjustment scheme of the thermal power unit and the charging scheme of the energy storage device, and simultaneously regulating and controlling the thermal power unit and the energy storage device. The method realizes the purposes of AGC correction, short-term prediction, safety check and energy storage detection on the AGC fire-storage combined frequency modulation technology based on the mathematical twin technology, and further solves the problems of strong intermittence, high fluctuation power and frequent frequency modulation requirements of the power grid caused by large-scale grid connection of the current fluctuation energy sources.
Embodiments of the present application also provide a machine-readable storage medium having stored thereon instructions that, when executed by the processor 100, cause the processor 100 to be configured to perform the control method of fire and storage joint frequency modulation described above.
Machine-readable storage media include both permanent and non-permanent, removable and non-removable media, and information storage may be implemented by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
The embodiment of the application also provides an electronic device 10, the electronic device 10 comprises a memory 101, a processor 100 and a computer program 102 stored in the memory 101 and capable of running on the processor 100, and the processor 100 executes the computer program 102 to realize the control method of fire-storage joint frequency modulation.
Fig. 3 is a schematic diagram of an electronic device according to an embodiment of the present application. As shown in fig. 3, the electronic device 10 of this embodiment includes: a processor 100, a memory 101, and a computer program 102 stored in the memory 101 and executable on the processor 100. The steps of the method embodiments described above are implemented by the processor 100 when executing the computer program 102. Alternatively, the processor 100, when executing the computer program 102, performs the functions of the modules/units of the apparatus embodiments described above.
By way of example, computer program 102 may be partitioned into one or more modules/units that are stored in memory 101 and executed by processor 100 to accomplish the present application. One or more of the modules/units may be a series of computer program instruction segments capable of performing particular functions to describe the execution of the computer program 102 in the electronic device 10. For example, the computer program 102 may be partitioned into a crew run process data acquisition module, a crew status prediction module, a virtual tuning module, a recipe determination module, and a tuning control instruction generation module.
The electronic device 10 may be a desktop computer, a notebook computer, a palm computer, a cloud server, or the like. The electronic device 10 may include, but is not limited to, a processor 100, a memory 101. It will be appreciated by those skilled in the art that fig. 3 is merely an example of the electronic device 10 and is not intended to limit the electronic device 10, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the electronic device may further include an input-output device, a network access device, a bus, etc.
The processor 100 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 101 may be an internal storage unit of the electronic device 10, such as a hard disk or a memory of the electronic device 10. The memory 101 may also be an external storage device of the electronic device 10, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 10. Further, the memory 101 may also include both internal storage units and external storage devices of the electronic device 10. The memory 101 is used to store computer programs and other programs and data required by the electronic device 10. The memory 101 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program 102 product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program 102 product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program 102 products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program 102 instructions. These computer program 102 instructions may be provided to a processor 100 of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor 100 of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program 102 instructions may also be stored in a computer-readable memory 101 that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory 101 produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program 102 instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (15)
1. The control method for the fire and storage combined frequency modulation is characterized by comprising the following steps of:
acquiring unit operation process data, wherein the unit operation process data comprises real-time operation data and AGC historical data of a power plant;
inputting the real-time operation data into a preset unit operation state evaluation model to obtain a unit state prediction result;
based on the unit state prediction result and the AGC frequency modulation instruction, digital twin virtual frequency modulation is carried out according to the real-time operation data, and a virtual simulation result is obtained; the AGC frequency modulation instruction is generated based on the current time grid AGC plan data;
determining a unit AGC adjustment scheme and an energy storage device charging scheme based on the virtual simulation result and the power plant AGC historical data;
and generating a frequency modulation control instruction according to the unit AGC adjustment scheme and the energy storage device charging scheme.
2. The method for controlling combined fire and energy frequency modulation according to claim 1, wherein the real-time operation data comprises:
and the current moment comprises power grid AGC plan data, real-time state data of the thermal power generating unit and real-time state data of the energy storage device.
3. The method for controlling the combined fire and energy frequency modulation according to claim 2, further comprising:
based on the AGC historical data of the power plant, the real-time state data of the thermal power unit and the real-time state data of the energy storage device, an LSTM algorithm is adopted to establish a unit running state evaluation initial model;
determining a training sample set based on the plant AGC history data;
based on an Adam algorithm, training the built unit running state evaluation initial model by using the training sample set to obtain a preset unit running state evaluation model.
4. A method of controlling a fire and storage joint frequency modulation as claimed in claim 3 wherein said determining a training sample set based on said plant AGC history data comprises:
preprocessing the AGC historical data of the power plant;
and carrying out correlation analysis on the preprocessed data to determine a training sample set.
5. The method for controlling fire and energy combined frequency modulation according to claim 4, wherein the preprocessing the AGC history data of the power plant comprises:
performing data cleaning on the AGC historical data of the power plant;
and correcting the abnormal value of the data after the data cleaning.
6. The method for controlling combined fire and energy frequency modulation according to claim 4, wherein the performing correlation analysis on the preprocessed data comprises:
and carrying out correlation analysis on the preprocessed data by adopting a spin correlation coefficient algorithm.
7. The method for controlling the combined fire and energy frequency modulation according to claim 2, further comprising:
based on the unit state prediction result, a pre-AGC instruction is sent to the thermal power unit;
and based on the pre-AGC instruction, performing digital twin virtual operation on the real-time state data of the thermal power generating unit and the real-time state data of the energy storage device.
8. The fire and storage joint frequency modulation control method according to claim 1, wherein the virtual simulation result comprises a frequency modulation result and SOC state data;
the determining a unit AGC adjustment scheme and an energy storage device charging scheme based on the virtual simulation result and the power plant AGC historical data comprises the following steps:
determining a unit AGC adjustment scheme based on the frequency modulation result;
and determining an energy storage device charging scheme based on the SOC state data and the AGC historical data of the power plant.
9. The method for controlling fire and storage united frequency modulation according to claim 8, wherein the frequency modulation result at least comprises a plurality of thermal power generating unit simulation operation parameters and a plurality of energy storage device simulation operation parameters;
the determining a unit AGC adjustment scheme based on the frequency modulation result comprises the following steps:
performing safety verification on the simulation operation parameters of the thermal power generating units and the simulation operation parameters of the energy storage devices to obtain verification results; the verification result comprises error values between simulation operation parameters and safety operation standards of each thermal power generating unit and error values between simulation operation parameters and safety operation standards of each energy storage device;
if the number of the error values larger than the preset threshold value is smaller than the first preset number, the unit AGC adjustment scheme is an AGC optimization scheme;
if the number of the error values larger than the preset threshold is not smaller than the first preset number and not larger than the second preset number, the unit AGC adjustment scheme is to stop the AGC frequency modulation scheme;
and if the number of the error values larger than the preset threshold value is larger than the second preset number, resetting the unit AGC scheme.
10. The fire and storage united frequency modulation control method according to claim 9, wherein the frequency modulation result further comprises frequency modulation accuracy, frequency modulation margin and frequency modulation cost;
the AGC optimization scheme is as follows:
and optimizing the current time power grid AGC plan data by using an AGC optimization algorithm according to the frequency modulation precision, the frequency modulation margin and the frequency modulation cost to obtain an AGC optimized signal.
11. The method for controlling the combined fire and energy frequency modulation according to claim 1, further comprising:
and sending an avoidance instruction to the energy storage device according to the real-time operation data.
12. The method for controlling the combined fire and energy frequency modulation according to claim 1, further comprising:
according to the frequency modulation control instruction, carrying out real-time regulation and control on the thermal power unit and the energy storage device to obtain a real-time regulation and control result;
and sending the real-time regulation and control result to a measurement and control terminal.
13. A fire and storage joint frequency modulation control system, comprising:
the unit operation process data acquisition module is used for acquiring unit operation process data, wherein the unit operation process data comprises real-time operation data and AGC historical data of a power plant;
the unit state prediction module is used for inputting the real-time operation data into a preset unit operation state evaluation model to obtain a unit state prediction result;
the virtual frequency modulation module is used for carrying out digital twin virtual frequency modulation according to the real-time operation data based on the unit state prediction result and the AGC frequency modulation instruction to obtain a virtual simulation result; the AGC frequency modulation instruction is generated based on the current time grid AGC plan data;
the scheme determining module is used for determining a unit AGC adjustment scheme and an energy storage device charging scheme based on the virtual simulation result and the power plant AGC historical data;
and the frequency modulation control instruction generation module is used for generating a frequency modulation control instruction according to the unit AGC adjustment scheme and the energy storage device charging scheme.
14. A machine-readable storage medium having instructions stored thereon, which when executed by a processor cause the processor to be configured to perform a fire and storage joint frequency modulation control method according to any one of claims 1 to 12.
15. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements a fire and storage joint frequency modulation control method as claimed in any one of claims 1 to 12.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117878974A (en) * | 2024-03-13 | 2024-04-12 | 西安热工研究院有限公司 | Frequency modulation method and system for fused salt energy storage coupling thermal power generating unit based on error feedback |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117878974A (en) * | 2024-03-13 | 2024-04-12 | 西安热工研究院有限公司 | Frequency modulation method and system for fused salt energy storage coupling thermal power generating unit based on error feedback |
| CN117878974B (en) * | 2024-03-13 | 2024-06-11 | 西安热工研究院有限公司 | Frequency modulation method and system for fused salt energy storage coupling thermal power generating unit based on error feedback |
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