A energy storage control method for optimizing the frequency regulation performance of thermal power units

Abstract

The present application provides a energy storage control method for optimizing the frequency modulation performance of thermal power units, which relates to the technical field of energy storage frequency modulation and includes: obtaining the unit output frequency according to the first output frequency and the second output frequency; performing fluctuation deviation analysis to calculate the real-time frequency deviation; if the real-time frequency deviation is not 0 and exceeds the predetermined large disturbance fluctuation threshold, it is determined as a large power grid disturbance, and the secondary frequency modulation is short-term shielded, and a primary frequency modulation compensation amount is generated according to the frequency deviation characteristics for centralized primary frequency modulation compensation; if the real-time frequency deviation is not 0, exceeds the predetermined small disturbance fluctuation threshold and does not exceed the predetermined large disturbance fluctuation threshold, the effective disturbance distribution characteristics are obtained, and hierarchical compensation is performed according to the analyzed frequency modulation compensation strategy. Through the present application, the disadvantages that the existing energy storage frequency modulation methods cannot achieve high qualification rates for both primary frequency modulation and secondary frequency modulation at the same time and the technical problem of insufficient frequency modulation control accuracy can be solved, and the control accuracy of energy storage frequency modulation can be improved.

Description

Technical Field

[0001] This application relates to the technical field of energy storage frequency modulation, and particularly to an energy storage control method for optimizing the frequency modulation performance of thermal power units. Background Art

[0002] The unit frequency modulation function means that when the grid frequency exceeds the specified normal range, the change in the grid frequency will cause the speed control systems of the units participating in primary frequency modulation in the grid to automatically increase or decrease the power of the units according to the change in the grid frequency, so as to achieve a new balance and limit the change in the grid frequency within a certain range. In order to improve the unit frequency modulation performance and obtain higher ancillary service benefits, many thermal power plants have configured energy storage frequency modulation systems, and by utilizing the ability of the energy storage frequency modulation system to respond quickly and accurately to changing loads, the increase in the unit's ancillary service benefits is realized.

[0003] Currently, existing energy storage frequency modulation methods usually fail to effectively coordinate the relationship between primary frequency modulation and secondary frequency modulation. During large disturbances, the energy storage system may need to concentrate on primary frequency modulation compensation. During this period, secondary frequency modulation may still continue to operate, resulting in mutual influence between the two and unable to achieve the best frequency modulation effect. This conflict makes it impossible to effectively guarantee the qualified rate of primary frequency modulation and the efficiency of secondary frequency modulation. Summary of the Invention

[0004] The purpose of this application is to provide an energy storage control method for optimizing the frequency modulation performance of thermal power units, so as to solve the drawbacks that existing energy storage frequency modulation methods cannot achieve high qualified rates for both primary frequency modulation and secondary frequency modulation at the same time, and there are technical problems of insufficient frequency modulation control accuracy.

[0005] In view of the above problems, in the first aspect, this application provides an energy storage control method for optimizing the frequency modulation performance of thermal power units, including: real-time collecting the current signal and voltage signal of the thermal power unit busbar, obtaining the first output frequency through vector synthesis, and synchronously monitoring the second output frequency of the thermal power unit, and obtaining the unit output frequency according to the first output frequency and the second output frequency; performing a fluctuation deviation analysis on the unit output frequency, and calculating to obtain the real-time frequency deviation; if the real-time frequency deviation is not 0 and exceeds the predetermined large disturbance fluctuation threshold, continuously monitoring the real-time frequency deviation, and if the continuous deviation duration exceeds the predetermined time threshold, it is determined as a large grid disturbance, then short-term shielding secondary frequency modulation, generating a primary frequency modulation compensation amount according to the frequency deviation characteristics, and using the energy storage device to concentrate on primary frequency modulation compensation; if the real-time frequency deviation is not 0, exceeds the predetermined small disturbance fluctuation threshold and does not exceed the predetermined large disturbance fluctuation threshold, continuously monitoring the real-time frequency deviation, performing effective disturbance statistics according to a predetermined rule, obtaining the effective disturbance distribution characteristics, analyzing a frequency modulation compensation strategy according to the effective disturbance distribution characteristics, and using the energy storage device for hierarchical compensation.

[0006] In a second aspect, the present application also provides an electronic device, including: at least one processor; a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is enabled to execute the steps of a method for optimizing the frequency regulation performance of a thermal power unit described in any one of the above first aspects.

[0007] In a third aspect, a computer-readable storage medium stores a computer program, and when the computer program is executed, it implements the steps of a method for optimizing the frequency regulation performance of a thermal power unit described in any one of the above first aspects.

[0008] One or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0009] By collecting the current signal and voltage signal of the bus of the thermal power unit in real time, obtaining the first output frequency through vector synthesis, and synchronously monitoring the second output frequency of the thermal power unit, the unit output frequency is obtained according to the first output frequency and the second output frequency; performing a fluctuation deviation analysis on the unit output frequency, and calculating the real-time frequency deviation; if the real-time frequency deviation is not 0 and exceeds a predetermined large disturbance fluctuation threshold, continuously monitoring the real-time frequency deviation, and if the continuous duration of the deviation exceeds a predetermined time threshold, it is determined as a large grid disturbance, then the secondary frequency regulation is short-term shielded, and a primary frequency regulation compensation amount is generated according to the frequency deviation characteristics, and the energy storage device is used to centrally perform primary frequency regulation compensation; if the real-time frequency deviation is not 0, exceeds a predetermined small disturbance fluctuation threshold and does not exceed the predetermined large disturbance fluctuation threshold, continuously monitoring the real-time frequency deviation, performing effective disturbance statistics according to a predetermined rule, obtaining the effective disturbance distribution characteristics, analyzing a frequency regulation compensation strategy according to the effective disturbance distribution characteristics, and using the energy storage device for hierarchical compensation; it is possible to achieve bidirectional optimization of the primary frequency regulation and secondary frequency regulation functions of the unit, improve the control accuracy of the secondary frequency regulation, improve the key indicators of the secondary frequency regulation, and at the same time, it is possible to increase the auxiliary service income brought by the secondary frequency regulation as much as possible without generating or generating less primary frequency regulation assessment.

[0010] The above description is only an overview of the technical solutions of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the description. In order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the specific embodiments of the present application are hereinafter specifically described. It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become easily understandable through the following description. Brief Description of the Drawings

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings described below are only exemplary. For those of ordinary skill in the art, other drawings can be obtained based on the provided drawings without creative efforts.

[0012] Figure 1 It is a schematic flowchart of a energy storage control method for optimizing the frequency regulation performance of a thermal power unit in the present application;

[0013] Figure 2 It is a schematic flowchart of obtaining the first output frequency through vector synthesis in a energy storage control method for optimizing the frequency regulation performance of a thermal power unit in the present application;

[0014] Figure 3 It is a schematic structural diagram of an exemplary electronic device in the present application.

[0015] Description of the Reference Numerals:

[0016] Bus 300, Receiver 301, Processor 302, Transmitter 303, Memory 304, Bus Interface 305. Detailed Embodiments

[0017] By providing a energy storage control method for optimizing the frequency regulation performance of a thermal power unit, the present application solves the drawback that the existing energy storage frequency regulation methods cannot achieve high qualification rates for both primary frequency regulation and secondary frequency regulation simultaneously, and there is a technical problem of insufficient frequency regulation control accuracy. It can achieve two-way optimization of the primary frequency regulation and secondary frequency regulation functions of the unit. On the premise of ensuring that the qualification rate of the unit's primary frequency regulation meets the dispatching requirements, it improves the control accuracy of secondary frequency regulation, improves the key indicators of secondary frequency regulation, and at the same time, it can increase the auxiliary service income brought by secondary frequency regulation as much as possible without generating or generating less primary frequency regulation penalties.

[0018] Next, the technical solutions in the present application will be clearly and completely described with reference to the drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the exemplary embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application. Additionally, it should be noted that for the sake of description, only the parts related to the present application are shown in the drawings rather than all of them.

[0019] Embodiment 1, please refer to the attach Figure 1, this application provides an energy storage control method for optimizing the frequency modulation performance of thermal power units, which specifically includes the following steps:

[0020] Step 1: Real-time collect the current signal and voltage signal of the bus of the thermal power unit, obtain the first output frequency through vector synthesis, and synchronously monitor the second output frequency of the thermal power unit. According to the first output frequency and the second output frequency, obtain the unit output frequency.

[0021] Specifically, the accurate identification component of the bus frequency of the thermal power unit collects the current and voltage signals of the unit bus, accurately calculates the frequency from the unit outlet to the power grid through vector synthesis, and directly samples the frequency of the unit synchronously as reference data. The two measurement methods complement each other to achieve the purpose of quickly identifying large frequency deviations and accurately measuring small frequency deviations.

[0022] First, use high-precision sensors to real-time collect the current signal and voltage signal of the bus of the thermal power unit. Among them, information such as the phase and amplitude of the current and voltage signals will be used as the basic data for subsequent frequency calculation; then, through vector synthesis of information such as the phase difference and amplitude of the current signal and voltage signal, calculate the frequency of the unit bus to obtain the first output frequency. The vector synthesis process can use mathematical methods such as Euler's method and Fourier transform to accurately calculate the frequency. This method fully considers the phase relationship between the current and voltage, can respond to frequency deviations more quickly, and is especially suitable for large-amplitude frequency fluctuations or rapid disturbance situations.

[0023] On the other hand, synchronously use a frequency meter (such as a frequency table or a power grid monitor) to directly measure the frequency of the unit. This measurement method can provide more direct and higher-precision frequency data, especially when the frequency change is small or the system is stable; finally, select the first output frequency or the second output frequency as the unit output frequency according to the scenario, that is, when a large disturbance or load fluctuation occurs in the power grid, use the first output frequency as the unit output frequency. Through the vector synthesis method, the frequency deviation can be quickly identified and the system fluctuation can be responded to in a timely manner; when the frequency change is small or the system is stable, use the second output frequency as the unit output frequency. The directly sampled frequency can provide high-precision measurement results to ensure that small frequency deviations can be accurately captured and adjusted.

[0024] By combining vector synthesis and direct frequency sampling, accurate identification of the bus frequency of the thermal power unit can be achieved. The complementarity of the two measurement methods ensures the high precision and high reliability of the frequency data, provides more accurate input data for the frequency modulation control system, effectively improves the response ability and precision of the thermal power unit in power grid frequency modulation, and optimizes the stability control of the power grid.

[0025] Step 2: Analyze the fluctuation deviation of the unit output frequency and calculate the real-time frequency deviation.

[0026] Specifically, based on the desired frequency, a fluctuation deviation analysis is performed on the output frequency of the unit. The frequency deviation refers to the difference between the output frequency of the unit monitored in real time and the desired frequency (for example, the standard frequency of 50 Hz or 60 Hz). For each sampling period, the deviation is calculated based on the currently sampled frequency and the standard frequency to obtain the frequency deviation at each moment. By comparing the output frequency of the unit and the system standard frequency in real time, the current frequency deviation is calculated, and the change of the frequency deviation is updated. For example, if the frequency deviation continuously exceeds a certain threshold (such as 0.2 Hz), it is determined that a large fluctuation has occurred. At the same time, by analyzing the change rate and duration of the real-time frequency deviation, the type of disturbance (such as small disturbance, large disturbance, or continuous disturbance) can be further judged. For example, if the frequency deviation instantaneously exceeds the set disturbance threshold and lasts for a certain time, it can be considered a large disturbance. If the frequency deviation fluctuates within a certain range and quickly recovers, it can be regarded as a small disturbance.

[0027] Step three: If the real-time frequency deviation is not 0 and exceeds the predetermined large disturbance fluctuation threshold, continuously monitor the real-time frequency deviation. If the deviation duration exceeds the predetermined time threshold, it is determined that a large grid disturbance has occurred. Then, the secondary frequency modulation is short-term shielded, and a primary frequency modulation compensation amount is generated according to the frequency deviation characteristics, and the primary frequency modulation compensation is concentratedly performed by using the energy storage device.

[0028] Specifically, obtain the predetermined large disturbance fluctuation threshold. The large disturbance fluctuation threshold is usually set according to the tolerance of the power grid system and historical data. For example, ±0.2 Hz or higher, and it can be set according to the actual situation. If the real-time frequency deviation is not 0, then judge the real-time frequency deviation according to the predetermined large disturbance fluctuation threshold. If the real-time frequency deviation exceeds the predetermined large disturbance fluctuation threshold, continuously monitor the real-time frequency deviation and judge whether the duration is greater than the predetermined time threshold, that is, when the deviation lasts for more than this time threshold, it can be considered that the disturbance is significant and is a large disturbance. For example, set the time threshold to 10 seconds or longer. If the real-time frequency deviation continuously exceeds the large disturbance fluctuation threshold and the duration exceeds the predetermined time threshold, it is determined that a large grid disturbance has occurred.

[0029] When it is determined that there is a major power grid disturbance, in order to prevent the secondary frequency regulation from having a negative impact on the regulation of the power grid frequency, the secondary frequency regulation can be short-term shielded. By focusing on the primary frequency regulation (fast response), the energy storage device can provide immediate compensation power, thereby reducing the system frequency deviation. Then, the energy storage system generates a corresponding frequency regulation compensation amount according to the magnitude and duration of the frequency deviation. This compensation amount is usually dynamically calculated based on the magnitude of the deviation, the duration, and the tolerance of the power grid. Finally, based on the primary frequency regulation compensation amount, the energy storage device is used to quickly release or absorb power to help adjust the power grid frequency to the normal range. Through this judgment and control mechanism, it can be ensured that when a major disturbance occurs, the power grid can quickly restore the frequency, while avoiding over-reliance on the secondary frequency regulation system, thereby improving the response efficiency and stability of the overall frequency regulation system.

[0030] Step Four: If the real-time frequency deviation is not 0, exceeds the predetermined small disturbance fluctuation threshold and does not exceed the predetermined major disturbance fluctuation threshold, continuously monitor the real-time frequency deviation, conduct effective disturbance statistics according to the predetermined rules, obtain the effective disturbance distribution characteristics, analyze the frequency regulation compensation strategy based on the effective disturbance distribution characteristics, and use the energy storage device for hierarchical compensation.

[0031] Specifically, obtain the predetermined small disturbance fluctuation threshold. For example, ±0.05 Hz. If the real-time frequency deviation exceeds this threshold but does not exceed the major disturbance threshold, it is determined as a small disturbance. If the real-time frequency deviation is not 0, and at the same time the real-time frequency deviation exceeds the predetermined small disturbance fluctuation threshold and does not exceed the predetermined major disturbance fluctuation threshold, it is determined as a small power grid disturbance. At this time, continuously monitor the real-time frequency deviation, conduct effective disturbance statistics according to the predetermined rules, and judge which deviations belong to effective disturbances according to the change law of the real-time frequency deviation. Effective disturbances refer to frequency fluctuations that have a certain impact and are of reference value for optimizing the frequency regulation strategy. For example, frequency deviations that continuously exceed a certain threshold and last for a certain period of time can be considered effective disturbances. According to the judgment standard of primary frequency regulation disturbances, when the frequency exceeds the primary frequency regulation dead zone (50 ± 0.033 Hz) and lasts for 6 seconds or more, and at the same time the maximum frequency deviation reaches 50 ± 0.038 Hz, it is called an effective primary frequency regulation disturbance.

[0032] Next, through the statistics and analysis of the effective disturbance data, the distribution characteristics of the disturbance are obtained; finally, a frequency modulation compensation strategy is analyzed based on the effective disturbance distribution characteristics. For example, according to the magnitude and duration of the disturbance, appropriate frequency modulation compensation amounts and compensation times are selected; appropriate power is allocated to each compensation interval to avoid over-regulation or under-regulation. At the same time, during different time periods of the disturbance, the compensation strategy is dynamically adjusted according to the characteristics of the disturbance. For example, for disturbances with short durations, slight compensation is performed; for disturbances with large frequency deviations, larger compensation is performed. Finally, according to the frequency modulation compensation strategy, hierarchical compensation is performed using the energy storage device, that is, the energy storage device accurately adjusts the power output according to the real-time compensation strategy to achieve fast response and effective adjustment of the frequency.

[0033] By providing an energy storage control method for optimizing the frequency modulation performance of thermal power units, the disadvantages that the existing energy storage frequency modulation methods cannot achieve high qualification rates for both primary frequency modulation and secondary frequency modulation at the same time, and there are technical problems of insufficient frequency modulation control accuracy can be solved. By real-time collecting the current signal and voltage signal of the thermal power unit bus, the first output frequency is obtained through vector synthesis, and the second output frequency of the thermal power unit is synchronously monitored. According to the first output frequency and the second output frequency, the unit output frequency is obtained; the fluctuation deviation analysis is performed on the unit output frequency, and the real-time frequency deviation is calculated; if the real-time frequency deviation is not 0 and exceeds the predetermined large disturbance fluctuation threshold, the real-time frequency deviation is continuously monitored. If the deviation continuous duration exceeds the predetermined time threshold, it is determined as a large power grid disturbance, and the secondary frequency modulation is short-term shielded, and a primary frequency modulation compensation amount is generated according to the frequency deviation characteristics, and the energy storage device is used to centrally perform primary frequency modulation compensation; if the real-time frequency deviation is not 0, exceeds the predetermined small disturbance fluctuation threshold and does not exceed the predetermined large disturbance fluctuation threshold, the real-time frequency deviation is continuously monitored, the effective disturbance is statistically analyzed according to a predetermined rule, the effective disturbance distribution characteristics are obtained, a frequency modulation compensation strategy is analyzed according to the effective disturbance distribution characteristics, and hierarchical compensation is performed using the energy storage device; it can realize the two-way optimization of the unit's primary frequency modulation and secondary frequency modulation functions. On the premise of ensuring that the qualification rate of the unit's primary frequency modulation meets the dispatching requirements, the control accuracy of the secondary frequency modulation is improved, the key indicators of the secondary frequency modulation are improved, and at the same time, the auxiliary service income brought by the secondary frequency modulation can be increased as much as possible without generating or generating less primary frequency modulation assessment.

[0034] Further, the first output frequency is obtained through vector synthesis. As shown in the appendix Figure 2 shown, this application includes:

[0035] Perform Fourier transform on the current signal and voltage signal to generate a current frequency domain signal and a voltage frequency domain signal; perform phase difference calculation on the current frequency domain signal and the voltage frequency domain signal, and determine the first output frequency according to the phase difference calculation result.

[0036] Specifically, in an actual power system, current and voltage signals often have time-varying characteristics. Through Fourier transform, these signals can be converted from the time domain to the frequency domain for precise frequency analysis. By calculating the phase difference between the current signal and the voltage signal, the frequency output by the unit in the power grid can be determined. First, perform Fourier transform on the current signal and the voltage signal. Fourier transform is a mathematical operation that can convert a time-domain signal to the frequency domain, thereby revealing the intensities of different frequency components in the signal, obtaining the current frequency-domain signal and the voltage frequency-domain signal, which contain the amplitude and phase information of different frequency components. Then, calculate the phase difference between the current frequency-domain signal and the voltage frequency-domain signal, and determine the first output frequency according to the phase difference calculation result. Among them, in a stable power grid environment, the phase difference between the current and voltage signals will have a certain relationship with the frequency. By precisely analyzing the frequency-domain signals of the current and voltage, calculating the phase difference between the current and voltage, and then calculating the power grid frequency.

[0037] Furthermore, this application includes:

[0038] Obtain a set of monitored frequencies within a predetermined historical period, perform frequency fluctuation analysis based on the set of monitored frequencies, and obtain frequency fluctuation characteristics; if the frequency fluctuation characteristics are greater than a predetermined frequency deviation threshold, set the first output frequency as the output frequency of the unit; if the frequency fluctuation characteristics are less than or equal to the predetermined frequency deviation threshold, set the second output frequency as the output frequency of the unit.

[0039] Specifically, first, collect the output frequency data of the thermal power unit in real time or periodically and store it in the set of monitored frequencies (frequency historical data). This set of monitored frequencies usually includes frequency measurement data within a certain time window to obtain the set of monitored frequencies within a predetermined historical period; then, perform fluctuation analysis on the obtained historical frequency data, analyze information such as the change trend, amplitude, and duration of the frequency, and obtain frequency fluctuation characteristics.

[0040] Further, determine whether the frequency fluctuation characteristics are greater than a predetermined frequency deviation threshold. If the frequency fluctuation characteristics are greater than the predetermined frequency deviation threshold, select the first output frequency as the output frequency of the unit. The first output frequency is suitable for quickly responding and providing stable frequency measurement in the case of large fluctuations; if the frequency fluctuation characteristics are less than or equal to the predetermined frequency deviation threshold, select the second output frequency as the output frequency of the unit. The second output frequency is suitable for scenarios where the power grid fluctuation is small and the frequency change is relatively stable. By combining vector synthesis and direct frequency sampling, accurate identification of the bus frequency of the thermal power unit can be achieved. The complementarity of the two measurement methods ensures the high precision and high reliability of the frequency data, provides more accurate input data for the frequency modulation control system, effectively improves the response ability and accuracy of the thermal power unit in power grid frequency modulation, and optimizes the stability control of the power grid.

[0041] Furthermore, the present application includes:

[0042] Continuously monitor the real-time frequency deviation to obtain the frequency deviation value and the deviation duration; obtain the grid frequency fluctuation constraint and the energy storage regulation characteristics of the energy storage device, perform a primary frequency regulation compensation analysis according to the frequency deviation value, the deviation duration, the grid frequency fluctuation constraint and the energy storage regulation characteristics, and generate a primary frequency regulation compensation amount; based on the primary frequency regulation compensation amount, control the energy storage device to centrally perform primary frequency regulation compensation.

[0043] Specifically, the real-time frequency deviation is continuously monitored, and the frequency deviation value (i.e., the difference between the actual frequency and the target frequency) is calculated. At the same time, the duration of the frequency deviation needs to be monitored. If the frequency deviation lasts for a long time, it means that the system may experience a large disturbance, which requires stronger compensation measures to obtain the frequency deviation value and the duration of the deviation. Next, the grid frequency fluctuation constraints and the energy storage regulation characteristics of the energy storage device are obtained. Among them, the grid has certain frequency fluctuation restrictions, which are usually set by the grid dispatching center. These constraints define the maximum frequency deviation and frequency change rate allowed by the grid; the regulation characteristics of the energy storage device include its response speed, maximum regulation power, and available energy storage capacity. These characteristics of the energy storage device limit the amount of frequency regulation compensation it can perform.

[0044] Furthermore, a frequency regulation compensation analysis is performed based on the frequency deviation value, deviation duration, grid frequency fluctuation constraints and energy storage regulation characteristics, and an appropriate compensation amount is calculated to ensure that both the frequency deviation can be responded to quickly and the grid frequency fluctuation constraints can be met, and a frequency regulation compensation amount is obtained. This compensation amount will be used to guide the power output of the energy storage system to adjust the frequency deviation. Finally, based on the generated primary frequency regulation compensation amount, the energy storage device is controlled to output the corresponding power to compensate for the frequency deviation. The energy storage device performs a centralized frequency regulation compensation, which means that the energy storage system will uniformly adjust the output power according to the compensation amount requirements and restore the grid frequency as quickly as possible. By continuously monitoring the real-time frequency deviation and generating and controlling the primary frequency regulation compensation amount based on the grid frequency fluctuation constraints and the regulation characteristics of the energy storage device, efficient and accurate frequency regulation can be achieved. This method can cope with situations where the grid frequency fluctuates greatly, improve the frequency regulation qualification rate, and ensure the stability of the grid operation.

[0045] Furthermore, the present application includes:

[0046] After the primary frequency modulation compensation is completed, the secondary frequency modulation restriction is released and the secondary frequency modulation function is gradually restored.

[0047] Specifically, after the energy storage system completes a primary frequency regulation compensation, it is first necessary to confirm that the frequency has returned to an acceptable range, which can be judged by real-time monitoring of the grid frequency deviation value. When the frequency deviation approaches zero and remains so for a period of time, it is considered that the primary frequency regulation compensation has been completed. Then, when the primary frequency regulation compensation is completed and the frequency has returned to the predetermined range, the restriction on secondary frequency regulation can be lifted. At this time, the energy storage device and the frequency regulation system can re-enable the secondary frequency regulation function. At the same time, in order to avoid system fluctuations caused by instantaneous transitions, the process of lifting the restriction on secondary frequency regulation can be carried out in stages. Gradually lifting the restriction helps to achieve a smooth transition and avoid drastic frequency changes after the primary frequency regulation compensation ends. After the primary frequency regulation compensation is completed, the process of restoring the secondary frequency regulation function needs to ensure that the frequency is stable and then gradually lift the restriction on secondary frequency regulation, and gradually restore the detailed adjustment of secondary frequency regulation. Through smooth transition and dynamic control, the system can ensure efficient completion of primary frequency regulation after large disturbances, and optimize the detailed adjustment of frequency fluctuations through secondary frequency regulation, ultimately achieving the stable operation and efficient regulation of the power grid.

[0048] Furthermore, this application includes:

[0049] Continuously monitor the real-time frequency deviation, analyze the disturbance frequency, disturbance amplitude, and disturbance duration to obtain multiple disturbance characteristic data; screen the disturbance characteristic data according to a predetermined rule, count the effective disturbance characteristics, and generate an effective disturbance distribution characteristic, where the effective disturbance distribution characteristic includes disturbance type, disturbance intensity, disturbance mode, and disturbance distribution range.

[0050] Specifically, continuously monitor the real-time frequency deviation, and analyze the disturbance frequency, disturbance amplitude, and disturbance duration of the real-time frequency deviation, that is, analyze the change rate of the frequency deviation, that is, the disturbance frequency. The disturbance frequency refers to the frequency of frequency fluctuations and is usually used to distinguish fast-changing disturbances (such as instantaneous load changes) and relatively stable disturbances (such as long-term frequency drift) in the power grid; analyze the magnitude of the frequency deviation, that is, the gap between the maximum value and the minimum value of the power grid frequency change. The larger the amplitude, the stronger the intensity of the disturbance, which usually represents a more serious power grid instability condition; analyze the time during which the frequency deviation persists, calculate the duration of each disturbance, and the longer the duration, the longer the power grid disturbance may last and the longer the adjustment and compensation time required; obtain multiple disturbance characteristic data.

[0051] Next, the perturbation feature data is screened according to a predetermined rule, that is, according to a preset rule, the real-time monitored perturbation data is screened, and only the effective perturbation data with large amplitude, long duration and significant frequency deviation is retained, and the smaller or unimportant perturbation data is ignored, and an effective perturbation distribution feature is generated, where the effective perturbation distribution feature includes perturbation type, perturbation intensity, perturbation mode and perturbation distribution range, where the perturbation type includes load mutation, equipment failure, wind power fluctuation, etc., and the perturbation intensity includes micro-perturbation, moderate perturbation, severe perturbation, etc.; the perturbation distribution range refers to the influence range of the analyzed perturbation, for example, whether the perturbation is limited to a certain area or spreads to the entire power grid, and whether the influence is extensive.

[0052] By analyzing the perturbation frequency, amplitude and duration, multi-dimensional perturbation feature data can be obtained. By screening and analyzing the effective perturbations, an effective perturbation distribution feature is generated, and an optimized frequency modulation compensation strategy is formulated accordingly. This strategy can achieve targeted and efficient frequency modulation compensation, significantly improve the stability and frequency modulation efficiency of the system, and at the same time reduce ineffective regulation operations.

[0053] Furthermore, this application includes:

[0054] Collect a sample set of effective perturbation distribution features, and collect the frequency modulation compensation schemes corresponding to different sample effective perturbation distribution features to obtain a sample set of frequency modulation compensation schemes; use the sample set of effective perturbation distribution features and the sample set of frequency modulation compensation schemes as training data to perform supervised training on a BP neural network to obtain a frequency modulation compensation analysis plug-in; input the effective perturbation distribution feature into the frequency modulation compensation analysis plug-in, and output the frequency modulation compensation strategy.

[0055] Specifically, first, according to the historical frequency modulation log, collect a sample set of effective perturbation distribution features, and collect the frequency modulation compensation schemes corresponding to different sample effective perturbation distribution features to obtain a sample set of frequency modulation compensation schemes, where the frequency modulation compensation scheme includes compensation power, adjustment direction, adjustment time and frequency modulation strategy; then use the sample set of effective perturbation distribution features and the sample set of frequency modulation compensation schemes as training data to perform supervised training on a BP neural network to obtain a frequency modulation compensation analysis plug-in that meets the expected convergence conditions; finally, input the effective perturbation distribution feature into the frequency modulation compensation analysis plug-in for compensation analysis, and output the frequency modulation compensation strategy.

[0056] Furthermore, this application includes:

[0057] The training data is equally divided into N parts, and N selections are made with replacement to obtain the first training set. The selection is iterated N times to obtain N training sets. With the sample effective perturbation distribution characteristics as the input and the sample frequency modulation compensation scheme as the supervision, the N training sets are used to respectively conduct supervised training on the BP neural network to obtain N convergent frequency modulation compensation analysis units. Based on the N convergent frequency modulation compensation analysis units, the frequency modulation compensation analysis plug-in is integrally constructed, wherein the output of the frequency modulation compensation analysis plug-in is the mode of the outputs of the N convergent frequency modulation compensation analysis units.

[0058] Specifically, first, the training data is equally divided into N parts, and N selections are made with replacement to obtain the first training set, and the selection is iterated N times using the same method to obtain N training sets. Then, with the sample effective perturbation distribution characteristics as the input and the sample frequency modulation compensation scheme as the supervision, the N training sets are used to respectively conduct supervised training on the BP neural network, that is, the supervised learning method is used to train the neural network using the known training data (effective perturbation characteristics and compensation scheme set). During the training process, the network will automatically adjust the weights and biases to minimize the error between the predicted output and the actual target until the predetermined convergence condition is met, obtaining N trained convergent frequency modulation compensation analysis units. Finally, the frequency modulation compensation analysis plug-in is integrally constructed based on the N convergent frequency modulation compensation analysis units, wherein the output of the frequency modulation compensation analysis plug-in is the mode of the outputs of the N convergent frequency modulation compensation analysis units.

[0059] In summary, a energy storage control method for optimizing the frequency modulation performance of a thermal power unit provided by this application has the following technical effects:

[0060] By collecting the current signal and voltage signal of the busbar of the thermal power unit in real time, obtaining the first output frequency through vector synthesis, synchronously monitoring the second output frequency of the thermal power unit, and obtaining the unit output frequency according to the first output frequency and the second output frequency; performing fluctuation deviation analysis on the unit output frequency to calculate the real-time frequency deviation; if the real-time frequency deviation is not 0 and exceeds the predetermined large disturbance fluctuation threshold, continuously monitoring the real-time frequency deviation, and if the continuous duration of the deviation exceeds the predetermined time threshold, it is determined as a large grid disturbance, then the secondary frequency modulation is short-term shielded, and a primary frequency modulation compensation amount is generated according to the frequency deviation characteristics, and the energy storage device is used to centrally perform primary frequency modulation compensation; if the real-time frequency deviation is not 0, exceeds the predetermined small disturbance fluctuation threshold and does not exceed the predetermined large disturbance fluctuation threshold, continuously monitoring the real-time frequency deviation, performing effective disturbance statistics according to a predetermined rule, obtaining the effective disturbance distribution characteristics, analyzing a frequency modulation compensation strategy according to the effective disturbance distribution characteristics, and using the energy storage device for hierarchical compensation; it can realize the two-way optimization of the primary frequency modulation and secondary frequency modulation functions of the unit, improve the control accuracy of secondary frequency modulation and the key indicators of secondary frequency modulation while ensuring that the qualified rate of primary frequency modulation of the unit meets the dispatching requirements, and at the same time, it is possible to increase the auxiliary service income brought by secondary frequency modulation as much as possible without generating or generating less primary frequency modulation assessment.

[0061] Embodiment 2. Based on the inventive concept of a storage control method for optimizing the frequency modulation performance of a thermal power unit in the foregoing embodiment, the present application further provides an electronic device, including: at least one processor; a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable 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 execute the steps of any one of the foregoing Embodiment 1 of a storage control method for optimizing the frequency modulation performance of a thermal power unit.

[0062] Appendix Figure 3 is a schematic structural diagram of an exemplary electronic device of the present application. In Figure 3Among them, the bus architecture is represented by bus 300. Bus 300 may include any number of interconnected buses and bridges. Bus 300 connects various circuits of one or more processors represented by processor 302 and memory represented by memory 304 together. Bus 300 may also connect various other circuits together, such as peripheral devices, voltage regulators, and power management circuits, etc., which are well known in the art, so they will not be further described herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, i.e., a transceiver, providing a unit for communicating with various other devices on the transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 may be used to store data used by processor 302 when performing operations.

[0063] Embodiment 3. Based on a storage control method for optimizing the frequency modulation performance of a thermal power unit in the foregoing embodiment and with the same inventive concept, the present application also provides a computer-readable storage medium. A computer program is stored on the computer-readable storage medium, and when the computer program is executed, it implements the steps of a storage control method for optimizing the frequency modulation performance of a thermal power unit as described in any one of the foregoing Embodiment 1.

[0064] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0065] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and 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 equivalent technologies, the present application is also intended to include these changes and modifications.

Claims

1. A energy storage control method for optimizing the frequency regulation performance of thermal power units, characterized in that Methods include: The current signal and voltage signal of the busbar of the thermal power unit are collected in real time, a first output frequency is obtained through vector synthesis, and a second output frequency of the thermal power unit is monitored synchronously, and the unit output frequency is obtained according to the first output frequency and the second output frequency; Performing a fluctuation deviation analysis on the output frequency of the unit to calculate a real-time frequency deviation; If the real-time frequency deviation is not 0 and exceeds the predetermined large disturbance fluctuation threshold, the real-time frequency deviation is continuously monitored. If the continuous duration of the deviation exceeds the predetermined time threshold, it is determined to be a large disturbance of the power grid, and the secondary frequency modulation is shielded for a short time, and a primary frequency modulation compensation amount is generated according to the frequency deviation characteristics, and the energy storage device is used to centrally perform the primary frequency modulation compensation; If the real-time frequency deviation is not 0, exceeds the predetermined small disturbance fluctuation threshold and does not exceed the predetermined large disturbance fluctuation threshold, continuously monitor the real-time frequency deviation, perform effective disturbance statistics according to predetermined rules, obtain effective disturbance distribution characteristics, obtain a frequency modulation compensation strategy according to the effective disturbance distribution characteristics, and use the energy storage device to perform graded compensation; The step of obtaining the unit output frequency according to the first output frequency and the second output frequency includes: Acquire a monitoring frequency set within a predetermined historical period, perform frequency fluctuation analysis based on the monitoring frequency set, and acquire frequency fluctuation characteristics; If the frequency fluctuation characteristic is greater than a predetermined frequency deviation threshold, setting the first output frequency as the unit output frequency; If the frequency fluctuation characteristic is less than or equal to the predetermined frequency deviation threshold, the second output frequency is set as the unit output frequency.

2. The energy storage control method for optimizing the frequency regulation performance of a thermal power unit according to claim 1, wherein The first output frequency is obtained by vector synthesis, including: Performing Fourier transform on the current signal and the voltage signal to generate a current frequency domain signal and a voltage frequency domain signal; A phase difference is calculated for the current frequency domain signal and the voltage frequency domain signal, and the first output frequency is determined according to the phase difference calculation result.

3. The energy storage control method for optimizing the frequency regulation performance of a thermal power unit according to claim 1, characterized in that, Generate a primary frequency compensation amount based on the frequency deviation characteristics, and use energy storage devices to centrally perform primary frequency compensation, including: Continuously monitoring the real-time frequency deviation to obtain a frequency deviation value and a deviation duration; Obtaining the grid frequency fluctuation constraint and the energy storage regulation characteristics of the energy storage device, performing a primary frequency regulation compensation analysis according to the frequency deviation value, deviation duration, grid frequency fluctuation constraint and energy storage regulation characteristics, and generating a primary frequency regulation compensation amount; Based on the primary frequency modulation compensation amount, the energy storage device is controlled to centrally perform primary frequency modulation compensation.

4. The energy storage control method for optimizing the frequency regulation performance of a thermal power unit according to claim 1, characterized in that After the primary frequency modulation compensation is completed, the secondary frequency modulation restriction is released and the secondary frequency modulation function is gradually restored.

5. A energy storage control method for optimizing the frequency regulation performance of a thermal power unit according to claim 1, characterized in that Continuously monitor the real-time frequency deviation, perform effective disturbance statistics according to predetermined rules, and obtain effective disturbance distribution characteristics, including: Continuously monitoring the real-time frequency deviation, analyzing the disturbance frequency, disturbance amplitude and disturbance duration, and obtaining a plurality of disturbance characteristic data; The disturbance feature data is screened according to a predetermined rule, effective disturbance features are counted, and effective disturbance distribution features are generated, wherein the effective disturbance distribution features include disturbance type, disturbance intensity, disturbance mode and disturbance distribution range.

6. The energy storage control method for optimizing the frequency modulation performance of a thermal power unit according to claim 1, characterized in that The frequency modulation compensation strategy is obtained according to the effective disturbance distribution characteristic analysis, including: Collect the effective disturbance distribution feature set of the samples, and collect the frequency modulation compensation schemes corresponding to the effective disturbance distribution features of different samples to obtain the sample frequency modulation compensation scheme set; Use the effective disturbance distribution feature set of the samples and the sample frequency modulation compensation scheme set as training data to perform supervised training on the BP neural network to obtain a frequency modulation compensation analysis plug-in; Input the effective disturbance distribution feature into the frequency modulation compensation analysis plug-in and output the frequency modulation compensation strategy.

7. The energy storage control method for optimizing the frequency modulation performance of a thermal power unit according to claim 6, wherein Use the effective disturbance distribution feature set of the samples and the sample frequency modulation compensation scheme set as training data to perform supervised training on the BP neural network to obtain a frequency modulation compensation analysis plug-in, including: Equally divide the training data into N parts and select N times with replacement to obtain a first training set, and iteratively select N times to obtain N training sets; Use the effective disturbance distribution feature of the sample as the input and the sample frequency modulation compensation scheme as the supervision, and use the N training sets to perform supervised training on the BP neural network respectively to obtain N convergent frequency modulation compensation analysis units; Integrate and construct the frequency modulation compensation analysis plug-in based on the N convergent frequency modulation compensation analysis units, where the output of the frequency modulation compensation analysis plug-in is the mode of the outputs of the N convergent frequency modulation compensation analysis units.

8. An electronic device, comprising: At least one processor; A memory communicatively connected to the at least one processor; Wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the steps of a method for optimizing the frequency modulation performance of a thermal power unit according to any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, and when the computer program is executed, it implements the steps of a method for optimizing the frequency modulation performance of a thermal power unit according to any one of claims 1 to 7.

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