Frequency modulation control method and device, electronic equipment and storage medium

Abstract

The invention discloses a frequency modulation control method and device, an electronic device and a storage medium, and relates to the technical field of new energy power generation control, local verification is carried out by collecting original voltage and current signals of a grid-connected point and synchronously fusing system operation data, the problems of data delay and error of traditional remote communication transmission are avoided, and the system reliability is improved. When communication is interrupted, a local data source or a historical steady-state value after verification can be automatically switched to, so that a data redundancy guarantee is formed; according to the design, the accuracy of frequency deviation judgment is ensured from the source, a disturbance response time window is remarkably shortened, generation of a power regulation instruction is not limited by a communication link any more, and collaborative optimization of frequency modulation control precision, real-time performance and robustness is achieved.

Description

Technical Field

[0001] The present disclosure relates to the field of renewable energy power generation control technology, and in particular to a frequency modulation control method and device, an electronic device, and a storage medium. Background Art

[0002] With the continuous development of smart grid and renewable energy integration technologies, renewable energy generation is becoming increasingly important in the power system, playing a key role in improving the clean energy structure and optimizing grid operation stability. In the field of coordinated control of renewable energy sites and grid sources, primary frequency regulation has become a key technical means to ensure grid frequency stability.

[0003] Currently, the primary frequency regulation control method of photovoltaic power stations usually directly uses communication to collect grid connection point voltage and current data, which may cause data delays and errors, affecting the real-time and accuracy of frequency regulation control. In addition, in the event of communication interruption or data anomalies, the existing system often lacks an effective redundancy mechanism, further reducing its reliability and adaptability in complex operating environments. Summary of the Invention

[0004] The present disclosure provides a frequency modulation control method, device, electronic device, and storage medium. Its main purpose is to solve the problem that the collection and merging of grid voltage and current data may cause data delays and errors, affecting the real-time and accuracy of frequency modulation control.

[0005] According to a first aspect of the present disclosure, a frequency modulation control method is provided, comprising:

[0006] Obtain voltage and current signals at the grid connection point and operating data of the system to be controlled;

[0007] Performing data verification based on the voltage and current signals of the grid connection point and the operating data of the control system to be controlled to obtain verification data;

[0008] In response to a grid frequency disturbance, determining whether a frequency deviation exceeds a preset threshold based on the verification data;

[0009] When the frequency deviation exceeds the preset threshold, a power adjustment instruction is generated for the system to be controlled, and the power output of the system to be controlled is adjusted based on the power adjustment instruction.

[0010] Optionally, the system to be controlled includes at least one of a booster station monitoring system, a photovoltaic monitoring system, an energy storage monitoring system, and automatic power generation control system communications.

[0011] Optionally, when the frequency deviation exceeds the preset threshold, generating a power adjustment instruction for the system to be controlled includes:

[0012] The power regulation instruction is comprehensively calculated based on the real-time power of the photovoltaic system, the remaining capacity of the energy storage system and the dispatch instruction of the automatic power generation control system.

[0013] Optionally, after generating a power adjustment instruction for the system to be controlled when the frequency deviation exceeds the preset threshold, and adjusting the power output of the system to be controlled based on the power adjustment instruction, the method further includes:

[0014] The power regulation instruction is regenerated according to the duration and change trend of the grid frequency disturbance; wherein the power regulation instruction includes adjusting the power regulation rate and regulation range.

[0015] Optionally, obtaining voltage and current signals of the grid connection point and operation data of the system to be controlled includes:

[0016] The grid connection point is connected based on a hard wiring method, and voltage and current signals of the grid connection point are collected.

[0017] According to a second aspect of the present disclosure, a frequency modulation control device is provided, comprising:

[0018] An acquisition unit, used to acquire voltage and current signals of the grid connection point and operation data of the system to be controlled;

[0019] a verification unit, configured to perform data verification based on the voltage and current signals of the grid-connected point and the operating data of the control system to be controlled, to obtain verification data;

[0020] a judgment unit, configured to judge whether a frequency deviation exceeds a preset threshold based on the verification data in response to a grid frequency disturbance;

[0021] The first generating unit is configured to generate a power adjustment instruction for the system to be controlled when the frequency deviation exceeds the preset threshold, and adjust the power output of the system to be controlled based on the power adjustment instruction.

[0022] Optionally, the system to be controlled includes at least one of a booster station monitoring system, a photovoltaic monitoring system, an energy storage monitoring system, and automatic power generation control system communications.

[0023] Optionally, the first generating unit is further configured to:

[0024] The power regulation instruction is comprehensively calculated based on the real-time power of the photovoltaic system, the remaining capacity of the energy storage system and the dispatch instruction of the automatic power generation control system.

[0025] Optionally, the device further includes:

[0026] The second generating unit is configured to generate a power regulation instruction for the system to be controlled when the frequency deviation exceeds the preset threshold value in the first generating unit, and after adjusting the power output of the system to be controlled based on the power regulation instruction, regenerate the power regulation instruction according to the duration and change trend of the grid frequency disturbance; wherein the power regulation instruction includes adjusting the power regulation rate and the regulation range.

[0027] Optionally, the acquiring unit is further configured to:

[0028] The grid connection point is connected based on a hard wiring method, and voltage and current signals of the grid connection point are collected.

[0029] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0030] at least one processor; and

[0031] a memory communicatively connected to the at least one processor; wherein,

[0032] The memory stores instructions that can be executed by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0033] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0034] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0035] The frequency modulation control method, device, electronic device and storage medium provided by the present disclosure have the following main technical solutions: obtaining the voltage and current signals of the grid connection point and the operating data of the system to be controlled; performing data verification based on the voltage and current signals of the grid connection point and the operating data of the system to be controlled to obtain verification data; in response to the grid frequency disturbance, judging whether the frequency deviation exceeds a preset threshold based on the verification data; when the frequency deviation exceeds the preset threshold, generating a power adjustment instruction for the system to be controlled, and adjusting the power output of the system to be controlled based on the power adjustment instruction. Compared with the related art, the embodiment of the present application collects the original voltage and current signals of the grid connection point and synchronously integrates the system operating data for local verification, which not only avoids the data delay and error problems of traditional remote communication transmission, but also can automatically switch to the verified local data source or historical steady-state value when the communication is interrupted, forming data redundancy protection; this design ensures the accuracy of frequency deviation judgment from the source, significantly shortens the disturbance response time window, and makes the generation of power adjustment instructions no longer restricted by the communication link, thereby achieving the coordinated optimization of frequency modulation control accuracy, real-time performance and robustness.

[0036] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings are provided to facilitate a better understanding of the present invention and do not constitute a limitation of the present disclosure.

[0038] Figure 1 A flow chart of a frequency modulation control method provided by an embodiment of the present disclosure;

[0039] Figure 2 A schematic structural diagram of a frequency modulation control device provided in an embodiment of the present disclosure;

[0040] Figure 3 A schematic structural diagram of another frequency modulation control device provided in an embodiment of the present disclosure;

[0041] Figure 4 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0042] The following description of exemplary embodiments of the present disclosure is made in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding. These details should be considered as merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0043] The frequency modulation control method, device, electronic device, and storage medium according to the embodiments of the present disclosure are described below with reference to the accompanying drawings.

[0044] Figure 1 A flow chart of a frequency modulation control method provided by an embodiment of the present disclosure.

[0045] like Figure 1 As shown, the method comprises the following steps:

[0046] Step 101, obtaining voltage and current signals of the grid connection point and operation data of the system to be controlled;

[0047] The grid connection point is the key node connecting the system to be controlled with the external power grid. Its voltage signal can directly reflect the power supply quality and stability of the power grid, including key information such as whether the voltage amplitude is within the rated range and whether there is any distortion in the voltage waveform. The current signal can reflect the power transmission status of the system, such as the ratio of active current to reactive current, which can be used to analyze the system's power factor and the presence of harmonic currents.

[0048] The operating data of the control system to be controlled includes the operating status parameters of each component and module within the system, and these parameters vary depending on the type of system. For power electronic control systems, operating data may include the on-time of switching devices, the frequency and phase of trigger pulses, etc.; for motor control systems, operating data may involve information such as motor speed, torque, and winding temperature. In some embodiments, high-precision sensors such as voltage transformers, current transformers, temperature sensors, and speed sensors are used to convert physical quantities into electrical or digital signals. Signal conditioning circuits are then used to filter, amplify, and isolate the sensor output signals to eliminate noise interference and ensure that the collected data is true and accurate.

[0049] Step 102: performing data verification based on the voltage and current signals of the grid connection point and the operating data of the system to be controlled to obtain verification data;

[0050] Data verification aims to ensure that the collected data is authentic, valid, error-free or anomaly-free, and to avoid system misjudgment and erroneous operation due to erroneous data.

[0051] For the voltage and current signals at the grid connection point, data verification first checks whether the signal values ​​are within a reasonable range. For example, in a conventional low-voltage distribution network, the normal range of phase voltage is usually between 198V and 242V. If the collected voltage signal exceeds this range, the system will preliminarily determine that the data may be abnormal. At the same time, the waveform characteristics of the voltage and current signals will be analyzed, such as using algorithms such as Fourier transform, to check for harmonic distortion. If the harmonic content is too high, it means that the signal may be interfered with or the system has nonlinear load problems, and the validity of the data needs to be further evaluated.

[0052] The operating data of the system to be controlled is verified based on the logical relationships between the various parameters. For example, in a motor control system, there is a certain mathematical relationship between the motor's speed and torque and the input current and voltage. If the collected operating data violates these established relationships, the data needs to be reviewed. In addition, redundant verification is used to collect the same physical quantity through multiple sensors and compare the measurement results of different sensors. If the data deviation exceeds a preset threshold, the data is determined to have a problem. After being processed according to data verification rules and algorithms, the qualified data is integrated to obtain verification data for subsequent system analysis and control.

[0053] Step 103, in response to the grid frequency disturbance, determining whether the frequency deviation exceeds a preset threshold based on the verification data;

[0054] Grid frequency is a key indicator for measuring the supply and demand balance of the power system. Its disturbances are usually caused by factors such as sudden load changes and power failures.

[0055] Specifically, the verification data includes the fundamental frequency component of the voltage / current signal at the grid connection point after Fourier transformation, as well as the frequency-related sampling data of the operating parameters of the control system to be controlled, such as the inverter output frequency, motor speed feedback, etc. The system will first extract the actual frequency value of the current power grid from the verification data. For example, under the standard of 50Hz industrial frequency, the inverse of the fundamental wave period is calculated in real time to obtain the instantaneous frequency. The preset threshold is set according to the power grid operation standard, usually ±0.2Hz or ±0.5Hz. For example, when the actual frequency calculation value is 50.3Hz, the frequency deviation is +0.3Hz. If the preset threshold is ±0.2Hz, it is determined to exceed the threshold.

[0056] The judgment process utilizes a dynamic real-time calculation mechanism, using phase-locked loop technology to track the phase changes of the voltage signal to ensure accurate frequency extraction. Furthermore, to avoid misjudgments caused by interference, a sliding window filtering algorithm is introduced to perform a weighted average of frequency data over multiple consecutive sampling periods. For example, the average of the frequency values ​​for the most recent 10 cycles is calculated and then compared with a threshold. When the frequency deviation exceeds a preset threshold, the system generates a frequency disturbance trigger signal, which serves as the control instruction for subsequent steps, enabling a rapid response to grid frequency fluctuations. The entire judgment process must be completed within milliseconds to meet the power system's stringent frequency stability requirements.

[0057] Step 104: When the frequency deviation exceeds the preset threshold, a power adjustment instruction is generated for the system to be controlled, and the power output of the system to be controlled is adjusted based on the power adjustment instruction.

[0058] In the power system, frequency is closely related to active power. When the frequency deviation exceeds the threshold, it indicates that the system's active power supply and demand are unbalanced. At this time, it is necessary to re-establish the balance by adjusting the power output of the system to be controlled.

[0059] When generating power regulation commands, the system applies a pre-set regulation strategy based on the magnitude and direction of the frequency deviation. For example, if the grid frequency is detected to be above a preset threshold, indicating excess active power in the system, a command to reduce power output is generated. If the frequency is below the preset threshold, a command to increase power output is generated. The specific parameters for the command are calculated based on the frequency-power droop characteristic curve, which reflects the relationship between frequency changes and power regulation. The specific value of the power regulation command is determined by calculating the power regulation amount corresponding to the frequency deviation on the curve.

[0060] When adjusting the power output of the controlled system based on power regulation instructions, if the controlled system is a distributed power system, such as a photovoltaic or wind power generation system, the instructions control the inverter's output power. Specifically, power regulation is achieved by adjusting the duty cycle of the inverter's pulse-width modulation signal, changing the output voltage and current. For energy storage systems, power regulation instructions control the battery's charge and discharge status and current. When power output needs to increase, the energy storage system discharges, releasing stored energy to the grid; when power output needs to decrease, the energy storage system charges, absorbing excess grid energy. The entire power regulation process is a dynamic, closed-loop control process. The system monitors the controlled system's power output and grid frequency changes in real time, continuously adjusting the power regulation instructions until the frequency deviation returns to the preset threshold range, ensuring stable grid operation.

[0061] In some embodiments, the system to be controlled includes at least one of a booster station monitoring system, a photovoltaic monitoring system, an energy storage monitoring system, and an automatic power generation control system communication.

[0062] The booster station monitoring system is mainly used to monitor and control the electrical equipment in the booster station (such as transformers, circuit breakers, disconnectors, etc.). By collecting voltage, current, power and other signals in the station, it can realize real-time monitoring of the operating status of the booster station, and adjust the power transmission of the booster station according to the needs of the power grid to ensure the stable transmission of electric energy from the power generation end to the power grid.

[0063] The photovoltaic monitoring system is designed for photovoltaic power generation units. It collects the output voltage, current, power and environmental parameters (such as light intensity, temperature, etc.) of the photovoltaic array in real time, monitors the operating status of the photovoltaic inverter (such as grid-connected frequency, voltage amplitude, conversion efficiency, etc.), and adjusts the active power output of the photovoltaic system according to instructions such as grid frequency disturbances to support the grid frequency.

[0064] The energy storage monitoring system is used to manage the charging and discharging process of energy storage devices (such as battery packs), and monitor the terminal voltage, charging and discharging current, remaining capacity (SOC), temperature and other operating data of the energy storage system in real time. It controls the charging and discharging power of the energy storage system according to power regulation instructions, absorbs excess electrical energy (charging) when the grid frequency is high, and releases electrical energy (discharging) when the frequency is low, thereby smoothing out grid frequency fluctuations.

[0065] Automatic Generation Control System Communication: Serving as the communication interface for the grid's automatic generation control, it receives control commands from the dispatch center and transmits operational data from the control system to the dispatch end. This communication system enables coordinated control of multiple control systems (such as photovoltaics, energy storage, and booster stations), generating unified power regulation commands based on grid frequency deviations to ensure coordinated operation of all systems to maintain grid stability.

[0066] In some embodiments, when the frequency deviation exceeds the preset threshold, generating a power adjustment instruction for the system to be controlled includes:

[0067] The power regulation instruction is comprehensively calculated based on the real-time power of the photovoltaic system, the remaining capacity of the energy storage system and the dispatch instruction of the automatic power generation control system.

[0068] When the frequency deviation exceeds a preset threshold, power regulation instructions for the control system to be controlled are generated based on a comprehensive calculation of the PV system's real-time power, the remaining capacity of the energy storage system, and the dispatch instructions of the automatic generation control system. The real-time power of the PV system reflects the actual power generation capacity under current environmental conditions such as sunlight intensity and module temperature. This data is collected in real time by the PV monitoring system and uploaded to the main control unit, serving as the basic input for power regulation. For example, when sunlight is abundant, the PV system has a large adjustment margin, while in rainy weather, power reduction must be limited to prevent curtailment. The remaining capacity of the energy storage system is determined by the real-time monitoring of the battery pack's charge and discharge status by the energy storage monitoring system. This parameter directly determines the energy storage system's regulation capability. If the SOC is above 90%, the energy storage system can only execute charging instructions to absorb excess grid power. If the SOC is below 20%, it can only execute discharging instructions to supplement the grid power shortage, and safety capacity must be reserved to prevent overcharging and over-discharging. The AGC dispatch instructions, as global control signals at the grid level, typically include a target power value or regulation rate requirement. These instructions are transmitted to the local control system via a dedicated communication link, representing the grid's mandatory demand for regional power balance.

[0069] In some embodiments, after generating a power adjustment instruction for the control system to be controlled when the frequency deviation exceeds the preset threshold, and adjusting the power output of the control system to be controlled based on the power adjustment instruction, the method further includes:

[0070] The power regulation instruction is regenerated according to the duration and change trend of the grid frequency disturbance; wherein the power regulation instruction includes adjusting the power regulation rate and regulation range.

[0071] The duration of grid frequency disturbances directly reflects the severity of power imbalance. For example, short-term, small frequency fluctuations may be caused by instantaneous load shocks. In this case, a lower power regulation rate can be maintained to avoid the impact of frequent adjustments on equipment life. However, when the frequency deviation persists for more than a certain period of time, it indicates that the system power supply and demand imbalance is serious, and the power regulation rate needs to be increased immediately to quickly respond and restore frequency stability.

[0072] Frequency trends provide forward-looking guidance for power regulation. If the grid frequency continues to deviate from the target value after regulation, for example, if the frequency continues to decrease and the rate of decrease increases, this indicates that the current power regulation is insufficient, and the system needs to reassess and expand the power regulation range and increase regulation efforts. Conversely, if the frequency shows a trend of convergence toward the target value, but at a slow pace, the system can appropriately increase the regulation rate to accelerate frequency recovery.

[0073] The regenerated power regulation instructions include two key parameters: the power regulation rate and the regulation range. The adjustment of the regulation rate must be combined with the response characteristics of the system to be controlled. For example, for photovoltaic systems, the speed of power change can be controlled by dynamically changing the regulation step size of the maximum power point tracking algorithm. For energy storage systems, the ramp-up / down rate of the charge and discharge current can be adjusted. The setting of the regulation range must comprehensively consider the operating limits of the equipment and the needs of the grid. For example, when the remaining capacity of the energy storage system is limited, its power regulation range must be reduced, and the photovoltaic system must be coordinated to take on more regulation tasks. This ensures that while ensuring the safe operation of the equipment, it can effectively respond to grid frequency disturbances and achieve stable system operation.

[0074] In some embodiments, obtaining voltage and current signals of the grid-connected point and operation data of the system to be controlled includes:

[0075] The grid connection point is connected based on a hard wiring method, and voltage and current signals of the grid connection point are collected.

[0076] The hard wiring method directly connects the electrical equipment and data acquisition devices at the grid connection point through physical cables (such as shielded cables and control cables), forming a point-to-point signal transmission link.

[0077] Specifically, voltage signals at the grid connection point are typically collected using a combination of voltage transformers and hard wiring. The voltage transformer converts the high voltage at the grid connection point to a proportionally lower voltage, such as 100V or 220V, which is then connected to the voltage input terminal of the data acquisition module via a shielded cable. The cable shield must be grounded at a single point to suppress electromagnetic interference. Current signal collection relies on a current transformer, which converts the high current at the grid connection point into a lower current. The current is then transmitted to the current acquisition channel via a twisted control cable. The twisted wire structure reduces signal distortion caused by magnetic field coupling.

[0078] The advantages of hardwiring lie in low signal transmission latency and strong resistance to network failures. Even if the system communication network is interrupted, basic data collection functions can still be maintained. For example, in a substation scenario, the status signals of circuit breakers and disconnectors at the grid connection point are hardwired into the measurement and control device, ensuring that the protection system can quickly operate based on the real-time collected voltage and current signals in the event of a fault. In addition, hardwiring allows the use of cables of different specifications based on the signal type, such as twisted-pair shielded cable for analog voltage and current signals and ordinary control cable for digital signals, thereby optimizing transmission performance.

[0079] Corresponding to the above-mentioned frequency modulation control method, the present invention also provides a frequency modulation control device. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, details not disclosed in the device embodiment can be referred to the above-mentioned method embodiment and will not be repeated in the present invention.

[0080] Figure 2A schematic diagram of the structure of a frequency modulation control device provided by an embodiment of the present disclosure is shown in FIG. Figure 2 Shown, including:

[0081] An acquisition unit 21 is used to acquire voltage and current signals of the grid connection point and operation data of the system to be controlled;

[0082] A verification unit 22 is configured to perform data verification based on the voltage and current signals of the grid connection point and the operating data of the control system to be controlled to obtain verification data;

[0083] a judgment unit 23, configured to judge whether a frequency deviation exceeds a preset threshold based on the verification data in response to a grid frequency disturbance;

[0084] The first generating unit 24 is configured to generate a power adjustment instruction for the system to be controlled when the frequency deviation exceeds the preset threshold, and adjust the power output of the system to be controlled based on the power adjustment instruction.

[0085] Furthermore, in a possible implementation of the embodiment of the present disclosure, the system to be controlled includes at least one of a booster station monitoring system, a photovoltaic monitoring system, an energy storage monitoring system, and an automatic power generation control system communication.

[0086] Furthermore, in a possible implementation of the embodiment of the present disclosure, the first generating unit 24 is further configured to:

[0087] The power regulation instruction is comprehensively calculated based on the real-time power of the photovoltaic system, the remaining capacity of the energy storage system and the dispatch instruction of the automatic power generation control system.

[0088] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 3 As shown, the device also includes:

[0089] The second generating unit 25 is used to generate a power regulation instruction for the control system to be controlled in the first generating unit 24 when the frequency deviation exceeds the preset threshold value, and after adjusting the power output of the control system to be controlled based on the power regulation instruction, regenerate the power regulation instruction according to the duration and change trend of the grid frequency disturbance; wherein the power regulation instruction includes adjusting the power regulation rate and the regulation range.

[0090] Furthermore, in a possible implementation of the embodiment of the present disclosure, the acquiring unit 21 is further configured to:

[0091] The grid connection point is connected based on a hard wiring method, and voltage and current signals of the grid connection point are collected.

[0092] It should be noted that the above explanation of the method embodiment is also applicable to the device of the embodiment of the present disclosure, and the principles are the same, which is no longer limited in the embodiment of the present disclosure.

[0093] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0094] Figure 4 A schematic block diagram of an example electronic device 300 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are provided as examples only and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0095] like Figure 4 As shown, the device 300 includes a computing unit 301, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 302 or a computer program loaded from a storage unit 308 into a RAM (Random Access Memory) 303. Various programs and data required for the operation of the device 300 can also be stored in the RAM 303. The computing unit 301, ROM 302, and RAM 303 are connected to each other via a bus 304. An I / O (Input / Output) interface 305 is also connected to the bus 304.

[0096] Various components in device 300 are connected to I / O interface 305, including: an input unit 306, such as a keyboard, mouse, etc.; an output unit 307, such as various types of displays, speakers, etc.; a storage unit 308, such as a magnetic disk, optical disk, etc.; and a communication unit 309, such as a network card, modem, wireless communication transceiver, etc. The communication unit 309 allows device 300 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0097] Computing unit 301 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of computing unit 301 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Unit), various specialized AI (Artificial Intelligence) computing chips, various computing units that run machine learning model algorithms, a DSP (Digital Signal Processor), and any suitable processor, controller, microcontroller, etc. Computing unit 301 performs the various methods and processes described above, such as the frequency modulation control method. For example, in some embodiments, the frequency modulation control method can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 308. In some embodiments, part or all of the computer program can be loaded and / or installed onto device 300 via ROM 302 and / or communication unit 309. When the computer program is loaded into RAM 303 and executed by computing unit 301, one or more steps of the method described above can be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to execute the aforementioned frequency modulation control method in any other appropriate manner (for example, by means of firmware).

[0098] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System on Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0099] The program code for implementing the method of the present disclosure can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device so that when the program code is executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The program code can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0100] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or apparatus. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or apparatus, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more wires, a portable computer disk, a hard disk, RAM, ROM, EPROM (Electrically Programmable Read-Only-Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0101] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0102] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0103] A computer system may include a client and a server. The client and server are generally remote from each other and typically interact via a communication network. This client-server relationship is established by computer programs running on the respective computers, establishing a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host, a host product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosts and VPS services ("Virtual Private Servers" or simply "VPS"). The server may also be a server in a distributed system or a server integrated with blockchain.

[0104] It's important to note that artificial intelligence (AI) is the study of how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). This encompasses both hardware and software technologies. AI hardware technologies generally include sensors, specialized AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily encompass computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graphs.

[0105] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved. This is not limited herein.

[0106] The above specific embodiments do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure shall be included within the scope of protection of this disclosure.

Claims

1. A frequency modulation control method, characterized in that: include: Obtain voltage and current signals at the grid connection point and operating data of the system to be controlled; Performing data verification based on the voltage and current signals of the grid connection point and the operating data of the control system to be controlled to obtain verification data; In response to a grid frequency disturbance, determining whether a frequency deviation exceeds a preset threshold based on the verification data; When the frequency deviation exceeds the preset threshold, a power adjustment instruction is generated for the system to be controlled, and the power output of the system to be controlled is adjusted based on the power adjustment instruction.

2. The frequency modulation control method according to claim 1, wherein: The control system to be controlled includes at least one of a booster station monitoring system, a photovoltaic monitoring system, an energy storage monitoring system, and an automatic power generation control system communication.

3. The frequency modulation control method according to claim 2, characterized in that: When the frequency deviation exceeds the preset threshold, generating a power adjustment instruction for the control system to be controlled includes: The power regulation instruction is comprehensively calculated based on the real-time power of the photovoltaic system, the remaining capacity of the energy storage system and the dispatch instruction of the automatic power generation control system.

4. The frequency modulation control method according to claim 1, wherein: After generating a power adjustment instruction for the control system to be controlled when the frequency deviation exceeds the preset threshold, and adjusting the power output of the control system to be controlled based on the power adjustment instruction, the method further includes: The power regulation instruction is regenerated according to the duration and change trend of the grid frequency disturbance; wherein the power regulation instruction includes adjusting the power regulation rate and regulation range.

5. The frequency modulation control method according to claim 1, wherein: The acquisition of voltage and current signals of the grid connection point and the operation data of the system to be controlled includes: The grid connection point is connected based on a hard wiring method, and voltage and current signals of the grid connection point are collected.

6. A frequency modulation control device, characterized in that: include: An acquisition unit, used to acquire voltage and current signals of the grid connection point and operation data of the system to be controlled; a verification unit, configured to perform data verification based on the voltage and current signals of the grid-connected point and the operating data of the control system to be controlled, to obtain verification data; a judgment unit, configured to judge whether a frequency deviation exceeds a preset threshold based on the verification data in response to a grid frequency disturbance; The first generating unit is configured to generate a power adjustment instruction for the system to be controlled when the frequency deviation exceeds the preset threshold, and adjust the power output of the system to be controlled based on the power adjustment instruction.

7. The frequency modulation control device according to claim 6, characterized in that: The control system to be controlled includes at least one of a booster station monitoring system, a photovoltaic monitoring system, an energy storage monitoring system, and an automatic power generation control system communication.

8. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 5.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 5.

10. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 5.

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