AGC generator set frequency modulation performance compensation optimization method and device, and medium

Abstract

The invention discloses an AGC generator set frequency modulation performance compensation optimization method and device and a medium, and relates to the technical field of power systems. The method comprises the following steps: executing operation data acquisition of the AGC generator set, and establishing a monitoring data set; processing the monitoring data set in real time by utilizing an edge computing node, and establishing a processing data set; inputting the processed data set into a dynamic frequency response network, generating a dynamic frequency stability evaluation result, establishing frequency modulation attention, and establishing frequency deviation by using the dynamic frequency stability evaluation result and the frequency modulation attention; reading a load demand of the AGC generator set, performing compensation optimization of the AGC generator set according to the load demand and the frequency deviation, and establishing a compensation optimization result; and adjusting and managing the AGC generator set by utilizing a compensation optimization result. The technical problem that the frequency modulation performance of the AGC generator set in the prior art is difficult to meet the stability requirement of a power system is solved, and the technical effect of improving the frequency modulation performance and operation stability of the power system is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power systems, and in particular to a method, device and medium for compensating and optimizing the frequency regulation performance of an AGC generator set. Background Art

[0002] In modern power systems, the frequency regulation performance of automatic generation control (AGC) units plays a vital role in maintaining the stability of grid frequency and improving the reliability of power supply. However, with the increasing complexity of power systems, including large-scale access to renewable energy, dynamic changes in power demand, and high volatility of load curves, existing frequency regulation technologies and control methods have exposed a series of deficiencies. First, the traditional AGC frequency regulation process usually relies on preset models or simple feedback control methods, which are difficult to respond quickly to complex power load changes in actual operation, resulting in frequency deviations that are difficult to eliminate in a short time. Second, due to the lack of high-precision monitoring and analysis of real-time dynamic frequency response, it is difficult for existing technologies to accurately evaluate and optimize compensation for abnormal conditions in the frequency regulation process, which not only limits the regulation ability of AGC units, but also increases the risk of grid instability. In addition, the traditional frequency regulation process also has problems such as high energy consumption, low compensation accuracy, and high requirements for data processing capabilities but insufficient implementation, which further weakens the overall operation efficiency of the power system. Summary of the invention

[0003] The embodiments of the present application provide a method, device and medium for compensating and optimizing the frequency regulation performance of an AGC generator set, which solves the technical problem in the prior art that the frequency regulation performance of an AGC generator set is difficult to meet the stability requirements of the power system.

[0004] In view of the above problems, the embodiments of the present application provide a method, device and medium for compensating and optimizing the frequency regulation performance of an AGC generator set.

[0005] A first aspect of an embodiment of the present application provides an AGC generator set frequency regulation performance compensation optimization method, the method comprising:

[0006] Configure high-precision sensors, perform operation data collection of the AGC generator set, and establish a monitoring data set, which includes power data, frequency data, and load data; deploy edge computing nodes in the AGC generator set, use the edge computing nodes to process the monitoring data set in real time, and establish a processing data set, and the real-time processing includes noise reduction, filtering, and data verification; input the processed data set into the dynamic frequency response network, generate a dynamic frequency stability evaluation result, and establish a frequency regulation concern, and use the dynamic frequency stability evaluation result and the frequency regulation concern to establish a frequency deviation; read the load demand of the AGC generator set, perform compensation optimization of the AGC generator set according to the load demand and the frequency deviation, and establish a compensation optimization result; use the compensation optimization result to regulate and manage the AGC generator set.

[0007] A second aspect of an embodiment of the present application provides an electronic device, comprising: a memory for storing executable instructions; and a processor for implementing the AGC generator set frequency regulation performance compensation optimization method provided in the present application when executing the executable instructions stored in the memory.

[0008] According to a third aspect of the embodiments of the present application, a computer-readable storage medium is provided, which stores a computer program. When the program is executed by a processor, the AGC generator set frequency regulation performance compensation optimization method provided in the present application is implemented.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] First, configure high-precision sensors, perform operation data collection of AGC generator sets, and establish a monitoring data set, which includes power data, frequency data, and load data. Next, deploy edge computing nodes in the AGC generator set, use edge computing nodes to process the monitoring data set in real time, and establish a processing data set. Real-time processing includes noise reduction, filtering, and data verification. Further, input the processed data set into the dynamic frequency response network, generate dynamic frequency stability evaluation results, and establish frequency regulation concerns. Use the dynamic frequency stability evaluation results and frequency regulation concerns to establish frequency deviations. Then, read the load demand of the AGC generator set, perform compensation optimization of the AGC generator set according to the load demand and frequency deviation, and establish compensation optimization results. Finally, use the compensation optimization results to regulate and manage the AGC generator set. The technical problem that the frequency regulation performance of the AGC generator set in the prior art is difficult to meet the stability requirements of the power system is solved, and the technical effect of improving the frequency regulation performance and operation stability of the power system is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0012] Figure 1 A schematic diagram of a flow chart of a method for optimizing the frequency regulation performance compensation of an AGC generator set provided in an embodiment of the present application;

[0013] Figure 2 A schematic diagram of a flow chart of establishing a compensation optimization result in the AGC generator set frequency regulation performance compensation optimization method provided in an embodiment of the present application;

[0014] Figure 3 This is a schematic diagram of the structure of an exemplary electronic device of the present application.

[0015] Description of the reference numerals: processor 21 , memory 22 , input device 23 , output device 24 . DETAILED DESCRIPTION

[0016] The embodiments of the present application solve the technical problem in the prior art that the frequency regulation performance of the AGC generator set is difficult to meet the stability requirements of the power system by providing a method, device and medium for compensating and optimizing the frequency regulation performance of the AGC generator set.

[0017] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0018] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or are inherent to these processes, methods, products or devices.

[0019] Embodiment 1, as Figure 1 As shown, the embodiment of the present application provides a method for optimizing the frequency regulation performance compensation of an AGC generator set, wherein the method comprises:

[0020] High-precision sensors are configured to collect the operation data of the AGC generator set and establish a monitoring data set, which includes power data, frequency data, and load data.

[0021] In the frequency optimization process of AGC (automatic generation control) generator sets, high-precision sensors must first be configured to ensure the accuracy and reliability of data collection. These high-precision sensors are deployed at key locations of generator sets to monitor and collect real-time operating data of generator sets. Specifically, the sensors collect multiple important parameters including power data, frequency data, and load data. Among them, power data records the electric power output by the generator set, which is a key indicator for determining whether the generator set meets the load requirements of the power grid; frequency data reflects the frequency change of the current output by the generator set. Frequency fluctuations are usually closely related to the stability of the power grid and are a direct reflection of the frequency regulation performance of the power system; load data describes the power load of the system, helps monitor the operating load of the generator set, and provides data support for subsequent load adjustments. These data are collected in real time by sensors and summarized into a complete monitoring data set, providing a basis for subsequent frequency stability evaluation and optimization compensation.

[0022] An edge computing node is deployed in the AGC generator set, and the monitoring data set is processed in real time by using the edge computing node to establish a processing data set. The real-time processing includes noise reduction, filtering and data verification.

[0023] Edge computing nodes are deployed in AGC generator sets to enhance data processing capabilities and improve the response speed of the system; edge computing nodes are distributed computing units that are deployed on-site at AGC generator sets, close to data sources, and can process monitoring data sets collected from high-precision sensors in real time. By pushing data processing functions to the edge of the network, edge computing nodes can reduce latency and reduce dependence on remote servers, ensuring that the system can respond quickly and adapt to dynamically changing operating environments. Edge computing nodes are used to process the collected monitoring data sets in real time, including noise reduction, filtering, and data verification; specifically, digital signal processing (DSP) technologies such as wavelet transform and Kalman filter are used to reduce noise on the collected raw data to improve data quality; appropriate filters (such as low-pass, high-pass, band-pass filters, etc.) are applied to further clean up the data and remove unnecessary noise and interference; data verification technology is used to verify the monitoring data to ensure the validity and integrity of each piece of data, and to prevent invalid data from entering the system analysis process and affecting subsequent frequency modulation decisions. After these real-time processing steps, a processed data set is finally formed after noise reduction, filtering and verification, which provides accurate support for subsequent dynamic frequency stability evaluation and frequency modulation compensation.

[0024] The processed data set is input into a dynamic frequency response network to generate a dynamic frequency stability evaluation result and establish a frequency modulation focus, and a frequency deviation is established using the dynamic frequency stability evaluation result and the frequency modulation focus.

[0025] After real-time processing by the edge computing node, the processed data set will be further input into the dynamic frequency response network, which will generate a dynamic frequency stability assessment result based on the input data. The dynamic frequency stability assessment result reflects the stability of the current power grid frequency and whether it is within the normal range.

[0026] Through the dynamic frequency stability evaluation results, the frequency stability of the system can be understood in real time, and the frequency attention is generated based on these results, that is, the degree of attention to the current frequency state. This attention value can indicate the severity of the current frequency deviation of the system. Subsequently, by analyzing these evaluation results, the frequency deviation can be established, that is, the difference between the actual frequency and the target frequency. The frequency deviation reflects the current frequency deviation of the power grid, which will provide a basis for the subsequent frequency compensation optimization, ensuring that the AGC generator set can adjust the output power in time according to the frequency deviation, thereby maintaining the frequency stability and safe operation of the power grid.

[0027] Specifically, the dynamic frequency response network is as follows:

[0028] ;in, Characterize the dynamic frequency stability evaluation results, Characterize real-time load changes, Characterize real-time generator power, Characterizes the dynamic inertia constant, , is the inertia constant, The sensitivity coefficient of the load disturbance on the system inertia is expressed as: Characterize the dynamic damping coefficient, , is the damping coefficient, is the influence factor of frequency deviation on damping coefficient, is the influence factor of speed control system power change on damping, is the power variation of the speed control system, Characterize the gain of the dynamic speed regulation system, , Characterize the speed control system gain, Characterizes the sensitivity of the speed regulator power change rate to the gain, It is the adjustment coefficient of frequency deviation to speed control gain.

[0029] The dynamic relationship between grid frequency, load and generator power is modeled to evaluate grid frequency stability. Specifically, in the model formula of the dynamic frequency response network, both sides of the equation appear It is a form of dynamic equation that describes the self-feedback of the system. Characterize the dynamic frequency stability assessment results, that is, the frequency deviation of the power grid at the current moment; Characterize real-time load changes, i.e., real-time load demands in the power grid; Represents the real-time generator set power, that is, the current output power of the generator set; Characterizes the dynamic inertia constant, which is the inertial response capability of the power grid frequency change. , is the inertia constant, The sensitivity coefficient that indicates the effect of load disturbance on system inertia; Characterizes the dynamic damping coefficient, that is, the system's ability to suppress frequency fluctuations, , is the damping coefficient, is the influence factor of frequency deviation on damping coefficient, is the influence factor of speed control system power change on damping, is the power variation of the speed control system; Characterizes the gain of the dynamic speed control system, that is, the response ability of the speed control system to frequency changes. , Characterize the speed control system gain, Characterizes the sensitivity of the speed regulator power change rate to the gain, It is the adjustment coefficient of frequency deviation to speed control gain.

[0030] The load demand of the AGC generator set is read, compensation optimization of the AGC generator set is performed according to the load demand and the frequency deviation, and a compensation optimization result is established.

[0031] By reading the load demand of the AGC generator set, the frequency deviation can be compensated and optimized. Load demand refers to the power load that the power grid needs to meet at a specific moment, which is usually adjusted dynamically by the power grid dispatching center according to the real-time power demand and system status; load demand determines how much power the generator set must output to maintain the stable operation of the power grid; frequency deviation is an important indicator to measure whether the generator set can meet the load demand. If the frequency deviation is too large, it may mean that the output power of the generator set cannot fully meet the needs of the power grid, or that the system has excessive or insufficient power output. Therefore, the goal of compensation optimization is to adjust the output power of the generator set to better match the load demand of the power grid and correct the system instability caused by frequency deviation. After compensation optimization, a compensation optimization result will be generated, which describes in detail how the generator set should adjust the power output under the current load demand and frequency deviation.

[0032] Furthermore, if Figure 2 As shown, the compensation optimization of the AGC generator set is performed according to the load demand and the frequency deviation, and the compensation optimization result is established, including:

[0033] Establishing an energy storage trigger condition list; using the energy storage trigger condition list to determine the trigger state of the energy storage system; if the state of the energy storage system is a triggered state, generating an energy storage compensation response according to the load demand and the frequency deviation; establishing a compensation optimization result according to the energy storage compensation response.

[0034] Specifically, according to the operation of the power grid and the performance of the AGC generator set, the system establishes a list of energy storage trigger conditions, which is a set of preset conditions that determine when to start the energy storage system. The energy storage trigger conditions may include the power grid frequency deviation exceeding a certain threshold, the power grid load demand changes sharply, the frequency change rate is too large, etc. Next, the system will use the energy storage trigger condition list to determine the trigger state of the energy storage system based on the real-time power grid operation data, that is, constantly monitor the current power grid frequency and load demand, and compare them with the various conditions in the energy storage trigger condition list; when the monitored frequency deviation or load demand change meets the energy storage trigger condition, the system will determine that the state of the energy storage system is triggered and prepare to start the energy storage system. Once the state of the energy storage system is triggered, the system will immediately generate an energy storage compensation response based on the current load demand and frequency deviation. The energy storage compensation response refers to the amount of power that the energy storage system needs to provide to adjust the frequency deviation and help meet the load demand of the power grid. For example, if the power grid frequency deviates too much from the target value, the energy storage system can provide additional power support to make up for the insufficient regulation of the generator set; if the load demand increases, the energy storage system can also quickly release power to avoid excessive fluctuations in the power grid frequency. Finally, the compensation optimization result is established based on the energy storage compensation response. The compensation response provided by the energy storage system will be considered together with the power regulation scheme of the AGC generator set to form the final compensation optimization result. This optimization result not only includes how the generator set adjusts the output power to match the load demand and correct the frequency deviation, but also includes how the energy storage system provides power support at a specific time to help the power grid quickly return to a stable state.

[0035] Furthermore, the energy storage trigger condition list includes frequency deviation trigger conditions, frequency change rate trigger conditions, governor delay trigger conditions, load fluctuation trigger conditions, and probability trigger conditions.

[0036] The energy storage trigger condition list is used to define when to start the energy storage system for frequency compensation and regulation. The energy storage trigger condition list contains multiple conditions, each of which is set according to the grid operation status, load demand and system performance. Specifically, it includes frequency deviation trigger conditions, frequency change rate trigger conditions, governor delay trigger conditions, load fluctuation trigger conditions, and probability trigger conditions. The frequency deviation trigger condition is one of the most basic conditions for triggering the energy storage system. When the frequency deviation of the grid (that is, the difference between the current frequency of the grid and the target frequency) exceeds the set threshold, the energy storage system will be activated; excessive frequency deviation means that the grid frequency is in an unstable state and needs to be adjusted immediately. The energy storage system helps to adjust the frequency back to the target value by providing or absorbing electricity. The frequency change rate trigger condition represents the rate of change of the grid frequency. If the frequency changes too quickly, it means that the system may have experienced a large load fluctuation or a lag in the response of the generator set, resulting in a sharp fluctuation in the grid frequency. At this time, the energy storage system can intervene quickly and provide a fast response to help alleviate frequency fluctuations and prevent the grid frequency from further deviating from the target value. The governor delay trigger condition means that when the governor of the AGC generator set fails to respond to the frequency change in time, the energy storage system can intervene; because there is a certain delay in the adjustment of the governor, especially when the load changes suddenly or other abnormal conditions occur, the energy storage system can serve as a fast response mechanism to make up for the lag in the generator set's adjustment response and ensure that the frequency can be restored to a stable state in the shortest time. The load fluctuation trigger condition is one of the important conditions for triggering the energy storage system. When the grid load fluctuates violently (such as a sharp increase or decrease in load demand), it will directly affect the stability of the grid frequency; the energy storage system can quickly release or absorb electricity to alleviate the frequency fluctuation caused by load fluctuations, avoid excessive frequency deviation or instability in the grid, and maintain the smooth operation of the grid. The probability trigger condition introduces a statistical method to determine whether the energy storage system needs to be activated based on the probability of occurrence of factors such as grid load changes and frequency fluctuations; by evaluating the probability of occurrence of these factors, the system can trigger the energy storage system in advance to compensate when the grid is at high risk, thereby effectively preventing the occurrence of frequency fluctuations and enhancing the system's response capabilities.

[0037] Further, the compensation optimization of the AGC generator set according to the load demand and the frequency deviation includes:

[0038] Read the unit load state of the AGC generator set; establish unit collaborative compensation according to the frequency deviation and the unit load state; use the unit collaborative compensation to perform collaborative control optimization within the AGC generator set; after compensating the load demand according to the collaborative control optimization result, perform compensation optimization of the AGC generator set based on the frequency deviation.

[0039] Specifically, read the unit load status of the AGC generator set, that is, obtain the current load level of each generator set, so as to determine whether there is sufficient power generation capacity to cope with the current grid demand; then, according to the frequency deviation and unit load status, establish a unit collaborative compensation mechanism, that is, calculate the amount of collaborative compensation between the generator sets. If a unit is overloaded or has insufficient response capacity, the system will adjust the output power of other units through the collaborative compensation mechanism to collaboratively complete the frequency regulation task. After the unit collaborative compensation is established, the system will use the unit collaborative compensation to optimize the collaborative control within the AGC generator set, and optimize the power distribution between different generator sets to ensure that they can dynamically adjust the output power according to the collaborative compensation scheme; through collaborative control optimization, the load distribution of each unit can be balanced to avoid a unit from being unable to adjust the frequency normally due to excessive load, and ensure that all units can respond to frequency changes in the best working state, thereby improving the frequency stability of the overall power grid. Finally, according to the results of the collaborative control optimization, the system will compensate for the load demand and further optimize the compensation of the AGC generator set based on the frequency deviation, that is, adjust the power output of the generator set according to the change of load demand, and adjust the load distribution of the generator set according to the size of the frequency deviation. Through these steps, the system can more effectively coordinate the cooperation between generator sets, optimize load distribution, and ensure that the AGC generator sets can efficiently and flexibly adjust power output to meet the needs of grid frequency stability.

[0040] Furthermore, the establishing of unit coordinated compensation according to the frequency deviation and the unit load state includes:

[0041] A collaborative compensation priority evaluation function is configured for the unit; priority sorting is performed based on response speed, available capacity and economy using the collaborative compensation priority evaluation function to establish a priority sorting result; and collaborative compensation of the unit is established according to the priority sorting result, the frequency deviation and the unit load status.

[0042] Specifically, the coordinated compensation priority evaluation function of the unit is configured. The coordinated compensation priority evaluation function is used to evaluate the priority of different generating units in the frequency regulation process. The coordinated compensation priority evaluation function is: P=α·R+β·C-γ·E, where P represents the priority score of the unit, α, β, and γ are the weight coefficients of response speed, available capacity, and economy, respectively, and R, C, and E are the response speed, available capacity, and economy of the unit; response speed refers to the response time of the unit to changes in frequency deviation, and units with faster response speeds should usually be activated first; available capacity refers to the additional power output that the unit can currently provide, and units with larger capacity can undertake more regulation tasks; economy takes into account the operating cost, and units with higher economy should be selected first during regulation to reduce the system operating cost. By configuring the coordinated compensation priority evaluation function, a comprehensive priority score can be assigned to each unit to provide a basis for subsequent regulation decisions. The priority evaluation function of collaborative compensation is used to perform priority sorting based on response speed, available capacity and economy, and establish the priority sorting result. Specifically, all generator sets are sorted according to the response speed, available capacity and economy of each unit. By comprehensively considering these factors, the system will obtain a priority sorting result, in which the units with higher priority will be adjusted first in the collaborative compensation process. Finally, the appropriate units are selected according to the priority sorting results, and the compensation power required by each unit is determined according to their load status and the degree of frequency deviation. The purpose of collaborative compensation is to enable multiple units to collaborate to complete the frequency regulation task, and to avoid a certain unit from bearing too heavy a burden and causing performance degradation by reasonably distributing load and power regulation. In this way, the generator sets can cooperate efficiently under the collaborative compensation mechanism to optimize the frequency regulation of the power grid and ensure the stability of the power grid.

[0043] Furthermore, it also includes:

[0044] A feedback verification window is created based on the compensation optimization result; feedback monitoring of the AGC generator set is performed using the feedback verification window to establish a feedback monitoring set; a self-optimization strategy is generated based on the feedback monitoring set, and the compensation optimization result is updated according to the self-optimization strategy.

[0045] Based on the compensation optimization results, a feedback verification window is created. The feedback verification window is a time period for real-time monitoring and evaluation of compensation effects. The system will continuously monitor the operation status of the power grid in this window, especially key indicators such as frequency fluctuations, power output, load changes, and frequency deviations. Next, the feedback verification window is used to monitor the feedback of the AGC generator set, thereby establishing a feedback monitoring set; in this process, the system will collect various data related to frequency regulation compensation, such as real-time frequency data, power output of each generator set, load demand changes, etc. All these monitoring data are summarized into a feedback monitoring set to provide a basis for subsequent frequency regulation effect analysis. Finally, based on the analysis of the feedback monitoring set, the system will generate a self-optimization strategy, which will guide the system on how to further optimize compensation according to the actual operating conditions to improve the system's responsiveness and frequency stability; the self-optimization strategy may include adjusting the coordinated regulation between generator sets, changing the intervention strategy of the energy storage system, or fine-tuning other adjustment parameters. According to this self-optimization strategy, the system will update the compensation optimization results in real time to ensure that the frequency regulation capability of the generator set is always in the best state and quickly adapt to changes in grid load and frequency fluctuations.

[0046] Furthermore, the establishing of the feedback monitoring set includes:

[0047] An abnormal trigger is identified for the feedback monitoring set, and an abnormal level is established; an emergency treatment plan is generated according to the abnormal level, and an emergency warning is reported after the AGC generator set is processed based on the emergency treatment plan.

[0048] Specifically, the feedback monitoring set is identified for abnormal triggers. Through continuous analysis of real-time monitoring data, the system can identify abnormal situations that may occur in the operation of the power grid. For example, excessive frequency fluctuations, abnormal load changes, abnormal power output, etc. may all lead to unstable frequency of the power grid. Once an abnormality is identified, the system will establish an abnormality level and classify different types of abnormalities according to the severity of the abnormality. The abnormality level can be comprehensively evaluated based on factors such as the size of the frequency deviation, the amplitude of the load fluctuation, and the response speed of the unit. For example, a slight frequency fluctuation may only trigger a low-level alarm, while a severe load fluctuation or frequency out of control may be marked as a high-level abnormality, requiring immediate emergency measures. According to the identified abnormality level, the system will generate a corresponding emergency treatment plan. For example, for low-level abnormalities, only small adjustments may be required to certain units; for high-level abnormalities, it may be necessary to start the backup generator set or adjust the output of the energy storage system to ensure that the power grid frequency quickly returns to stability. Finally, based on the emergency response plan, the system will perform necessary adjustments on the AGC generator set to ensure that the power grid can be restored to a stable state in a timely manner; after completing these adjustments, the system will immediately issue an emergency warning and notify relevant personnel for subsequent response and processing.

[0049] The compensation optimization result is used to perform regulation management of the AGC generator set.

[0050] According to the compensation optimization results, the AGC generator set is regulated and managed, that is, the output power of the generator set is adjusted in real time according to the optimization results to ensure the stability of the frequency and the smooth operation of the power system.

[0051] In summary, the embodiments of the present application have at least the following technical effects:

[0052] First, configure high-precision sensors, perform operation data collection of AGC generator sets, and establish a monitoring data set, which includes power data, frequency data, and load data. Next, deploy edge computing nodes in the AGC generator set, use edge computing nodes to process the monitoring data set in real time, and establish a processing data set. Real-time processing includes noise reduction, filtering, and data verification. Further, input the processed data set into the dynamic frequency response network, generate dynamic frequency stability evaluation results, and establish frequency regulation concerns. Use the dynamic frequency stability evaluation results and frequency regulation concerns to establish frequency deviations. Then, read the load demand of the AGC generator set, perform compensation optimization of the AGC generator set according to the load demand and frequency deviation, and establish compensation optimization results. Finally, use the compensation optimization results to regulate and manage the AGC generator set. The technical problem that the frequency regulation performance of the AGC generator set in the prior art is difficult to meet the stability requirements of the power system is solved, and the technical effect of improving the frequency regulation performance and operation stability of the power system is achieved.

[0053] Embodiment 2: Figure 3 The schematic structural diagram of the electronic device provided in the second embodiment of the present invention shows a block diagram of an exemplary electronic device suitable for implementing the implementation mode of the present invention. Figure 3 The electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention. Figure 3 As shown, the electronic device includes a processor 21, a memory 22, an input device 23 and an output device 24; the number of processors 21 in the electronic device can be one or more. Figure 3 Taking a processor 21 as an example, the processor 21, memory 22, input device 23 and output device 24 in the electronic device can be connected through a bus or other means. Figure 3 The example of connecting through bus is taken in the following.

[0054] Embodiment 3, based on the same inventive concept as the AGC generator set frequency regulation performance compensation optimization method in the above embodiment, this embodiment provides a computer-readable storage medium, which can be used to store software programs, computer executable programs and modules, such as the program instructions / modules corresponding to the AGC generator set frequency regulation performance compensation optimization method in the embodiment of the present application. The processor executes various functional applications and data processing of the computer device by running the software programs, instructions and modules stored in the memory, that is, realizing the above-mentioned AGC generator set frequency regulation performance compensation optimization method.

[0055] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0056] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0057] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. AGC generator set frequency regulation performance compensation optimization method, characterized in that: The method comprises: Configure high-precision sensors to collect the operating data of the AGC generator set and establish a monitoring data set, which includes power data, frequency data, and load data; Deploy edge computing nodes in the AGC generator set, use the edge computing nodes to process the monitoring data set in real time, and establish a processing data set, the real-time processing includes noise reduction, filtering and data verification; Inputting the processed data set into a dynamic frequency response network, generating a dynamic frequency stability evaluation result, and establishing a frequency modulation concern, and establishing a frequency deviation using the dynamic frequency stability evaluation result and the frequency modulation concern; Reading the load demand of the AGC generator set, performing compensation optimization of the AGC generator set according to the load demand and the frequency deviation, and establishing a compensation optimization result; The compensation optimization result is used to perform regulation management of the AGC generator set.

2. The AGC generator set frequency regulation performance compensation optimization method according to claim 1, characterized in that: The dynamic frequency response network is as follows: ； in, Characterize the dynamic frequency stability evaluation results, Characterize real-time load changes, Characterize real-time generator power, Characterizes the dynamic inertia constant, , is the inertia constant, The sensitivity coefficient of the load disturbance on the system inertia is expressed as: Characterize the dynamic damping coefficient, , is the damping coefficient, is the influence factor of frequency deviation on damping coefficient, is the influence factor of speed control system power change on damping, is the power variation of the speed control system, Characterize the gain of the dynamic speed regulation system, , Characterize the speed control system gain, Characterizes the sensitivity of the speed regulator power change rate to the gain, It is the adjustment coefficient of frequency deviation to speed control gain.

3. The AGC generator set frequency regulation performance compensation optimization method according to claim 1, characterized in that: The performing compensation optimization of the AGC generator set according to the load demand and the frequency deviation and establishing a compensation optimization result comprises: Establish a list of energy storage trigger conditions; Using the energy storage trigger condition list to determine the trigger state of the energy storage system; If the state of the energy storage system is a triggered state, generating an energy storage compensation response according to the load demand and the frequency deviation; A compensation optimization result is established according to the energy storage compensation response.

4. The AGC generator set frequency regulation performance compensation optimization method according to claim 3, characterized in that: The energy storage trigger condition list includes frequency deviation trigger condition, frequency change rate trigger condition, governor delay trigger condition, load fluctuation trigger condition, and probability trigger condition.

5. The AGC generator set frequency regulation performance compensation optimization method according to claim 1, characterized in that: The compensation optimization of the AGC generator set according to the load demand and the frequency deviation includes: Read the unit load status of the AGC generator set; Establishing unit coordinated compensation according to the frequency deviation and the unit load state; Utilizing the unit cooperative compensation to optimize cooperative control within the AGC generator set; After compensating the load demand according to the coordinated control optimization result, compensation optimization of the AGC generator set is performed based on the frequency deviation.

6. The AGC generator set frequency regulation performance compensation optimization method according to claim 5, characterized in that: The establishing of unit coordinated compensation according to the frequency deviation and the unit load state comprises: Configure the collaborative compensation priority evaluation function of the unit; Using the collaborative compensation priority evaluation function to perform priority sorting based on response speed, available capacity and economy, and establishing a priority sorting result; The unit collaborative compensation is established according to the priority sorting result, the frequency deviation and the unit load status.

7. The AGC generator set frequency regulation performance compensation optimization method according to claim 1, characterized in that: The method further comprises: Creating a feedback verification window based on the compensation optimization result; Using the feedback verification window to perform feedback monitoring of the AGC generator set, and establishing a feedback monitoring set; A self-optimization strategy is generated based on the feedback monitoring set, and a compensation optimization result is updated according to the self-optimization strategy.

8. The AGC generator set frequency regulation performance compensation optimization method according to claim 7, characterized in that: The establishing of the feedback monitoring set comprises: Performing abnormal trigger identification on the feedback monitoring set and establishing an abnormal level; An emergency processing plan is generated according to the abnormality level, and after the AGC generator set is processed based on the emergency processing plan, an emergency warning is reported.

9. An electronic device, characterized in that: The electronic device comprises: A memory for storing executable instructions; The processor is used to implement the AGC generator set frequency regulation performance compensation optimization method according to any one of claims 1 to 8 when executing the executable instructions stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the AGC generator set frequency regulation performance compensation optimization method as described in any one of claims 1 to 8 is implemented.

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