Energy storage control method for optimizing frequency modulation performance of thermal power generating unit

Abstract

The invention provides an energy storage control method for optimizing the frequency modulation performance of a thermal power generating unit, and relates to the technical field of energy storage frequency modulation, and the method comprises the steps: obtaining a unit output frequency according to a first output frequency and a second output frequency; fluctuation deviation analysis is carried out, and real-time frequency deviation is obtained through calculation; if the real-time frequency deviation is not zero and exceeds a preset large disturbance fluctuation threshold value, judging that the power grid is large disturbance, shielding secondary frequency modulation in a short time, generating a primary frequency modulation compensation amount according to frequency deviation characteristics, and performing primary frequency modulation compensation in a centralized manner; and if the real-time frequency deviation is not 0, exceeds a preset small disturbance fluctuation threshold value and does not exceed a preset large disturbance fluctuation threshold value, obtaining effective disturbance distribution characteristics, and performing graded compensation according to a frequency modulation compensation strategy obtained through analysis. According to the invention, the defect that primary frequency modulation and secondary frequency modulation cannot meet high qualified rate at the same time in the existing energy storage frequency modulation method can be overcome, and the technical problem of insufficient frequency modulation control precision can be solved, and the control precision of energy storage frequency modulation can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of energy storage frequency regulation, and in particular to an energy storage control method for optimizing the frequency regulation performance of a thermal power unit. Background Art

[0002] The unit frequency regulation function refers to the function that when the grid frequency exceeds the specified normal range, the change of the grid frequency will cause the speed regulation system of each unit participating in the primary frequency regulation in the grid to automatically increase or decrease the power of the unit according to the change of the grid frequency, thereby achieving a new balance and limiting the change of the grid frequency to a certain range. In order to improve the unit frequency regulation performance and obtain higher auxiliary service benefits, many thermal power plants are equipped with energy storage frequency regulation systems. By utilizing the ability of the energy storage frequency regulation system to quickly and accurately respond to changing loads, the auxiliary service benefits of the unit can be increased.

[0003] At present, existing energy storage frequency regulation methods usually fail to effectively coordinate the relationship between primary frequency regulation and secondary frequency regulation. In the event of a large disturbance, the energy storage system may need to centrally perform primary frequency regulation compensation, while during this period, secondary frequency regulation may continue to operate, causing the two to affect each other and fail to achieve the best frequency regulation effect. This conflict makes it impossible to effectively guarantee both the primary frequency regulation pass rate and the secondary frequency regulation efficiency. Summary of the invention

[0004] The purpose of this application is to provide an energy storage control method for optimizing the frequency regulation performance of thermal power units, so as to solve the disadvantages of existing energy storage frequency regulation methods that they cannot achieve primary and secondary frequency regulation while meeting high qualification rates, and there is a technical problem of insufficient frequency regulation control accuracy.

[0005] In view of the above problems, in a first aspect, the present application provides an energy storage control method for optimizing the frequency regulation performance of a thermal power unit, comprising: real-time acquisition of current signals and voltage signals of a busbar of the thermal power unit, obtaining a first output frequency through vector synthesis, and synchronously monitoring a 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 output frequency of the unit, and calculating a 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, if the continuous duration of the deviation exceeds a predetermined time threshold, it is determined to be a large disturbance of the power grid, and the secondary frequency regulation is short-term shielded, a primary frequency regulation compensation amount is generated according to the frequency deviation characteristics, and a primary frequency regulation compensation is concentratedly performed using an energy storage device; 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 effective disturbance distribution characteristics, obtaining a frequency regulation compensation strategy according to the analysis of the effective disturbance distribution characteristics, and performing hierarchical compensation using the energy storage device.

[0006] In a second aspect, the present application also provides 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 an energy storage control method for optimizing the frequency regulation performance of a thermal power unit as described in any one of the first aspects above.

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

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

[0009] By real-time acquisition of current signals and voltage signals of the thermal power unit bus, a first output frequency is obtained through vector synthesis, and the 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; the fluctuation deviation of the unit output frequency is analyzed to calculate the 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, and if the continuous deviation duration exceeds the predetermined time threshold, it is determined to be a large disturbance of the power grid, and the secondary frequency modulation is short-term shielded, and the primary frequency modulation compensation amount is generated according to the frequency deviation characteristics, and the primary frequency modulation compensation is centralized by using the energy storage device ... When the 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, effective disturbance statistics are performed according to predetermined rules, and effective disturbance distribution characteristics are obtained. A frequency regulation compensation strategy is obtained according to the analysis of the effective disturbance distribution characteristics, and graded compensation is performed using the energy storage device; it is capable of realizing two-way optimization of the primary frequency regulation and secondary frequency regulation functions of the unit, and on the premise of ensuring that the qualified rate of the primary frequency regulation of the unit meets the dispatching requirements, the control accuracy of the secondary frequency regulation is improved, and the key indicators of the secondary frequency regulation are improved. At the same time, the auxiliary service benefits brought by the secondary frequency regulation can be increased as much as possible without or with less primary frequency regulation assessment.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand 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 drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0012] Figure 1 A schematic flow chart of an energy storage control method for optimizing the frequency regulation performance of a thermal power unit in this application;

[0013] Figure 2 A schematic diagram of a flow chart of obtaining a first output frequency by vector synthesis in an energy storage control method for optimizing the frequency regulation performance of a thermal power unit in 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 reference numerals:

[0016] Bus 300 , receiver 301 , processor 302 , transmitter 303 , memory 304 , bus interface 305 . DETAILED DESCRIPTION

[0017] This application solves the problem that the existing energy storage frequency regulation method cannot achieve high pass rates for both primary and secondary frequency regulation and has insufficient frequency regulation control accuracy by providing an energy storage control method for optimizing the frequency regulation performance of thermal power units. It can realize two-way optimization of the primary and secondary frequency regulation functions of the unit, improve the control accuracy of the secondary frequency regulation and improve the key indicators of the secondary frequency regulation while ensuring that the pass rate of the primary frequency regulation of the unit meets the dispatching requirements, and at the same time, increase the auxiliary service benefits brought by the secondary frequency regulation as much as possible without or with less primary frequency regulation assessment.

[0018] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0019] For example, please refer to the attached Figure 1The present application provides an energy storage control method for optimizing the frequency regulation performance of a thermal power unit, which specifically includes the following steps:

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

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

[0022] First, high-precision sensors are used to collect the current and voltage signals of the thermal power unit bus in real time. The phase and amplitude of the current and voltage signals will be used as the basic data for subsequent frequency calculations. Then, the frequency of the unit bus is calculated by vector synthesis of the phase difference, amplitude and other information of the current and voltage signals to obtain the first output frequency. The vector synthesis process can use mathematical methods such as Euler method and Fourier transform to accurately calculate the frequency. This method fully considers the phase relationship between current and voltage, can respond to frequency deviations more quickly, and is particularly suitable for large-amplitude frequency fluctuations or rapid disturbances.

[0023] On the other hand, a frequency meter (such as a frequency meter or a power grid monitor) is used synchronously 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, the first output frequency or the second output frequency is selected as the unit output frequency according to the scenario. That is, when a large disturbance or load fluctuation occurs in the power grid, the first output frequency is used as the unit output frequency. The vector synthesis method can quickly identify frequency deviations and respond to system fluctuations in a timely manner. When the frequency change is small or the system is stable, the second output frequency is used as the unit output frequency. The directly sampled frequency can provide high-precision measurement results, ensuring that small frequency deviations can be accurately captured and adjusted.

[0024] By combining vector synthesis and direct frequency sampling, the bus frequency of thermal power units can be accurately identified. The complementarity of the two measurement methods ensures high accuracy and reliability of frequency data, provides more accurate input data for the frequency regulation control system, effectively improves the response capability and accuracy of thermal power units in power grid frequency regulation, and optimizes the stability control of the power grid.

[0025] Step 2: Perform fluctuation deviation analysis on the unit output frequency to calculate the real-time frequency deviation.

[0026] Specifically, based on the expected frequency, the output frequency of the unit is subjected to a fluctuation deviation analysis. The frequency deviation refers to the difference between the real-time monitored unit output frequency and the expected frequency (for example, the standard frequency of 50 Hz or 60 Hz). For each sampling period, the deviation is calculated based on the current sampled frequency and the standard frequency to obtain the frequency deviation at each moment. By comparing the output frequency of the unit with the system standard frequency in real time, the current frequency deviation is calculated, and the change in the frequency deviation is updated. For example, if the frequency deviation is continuously greater than 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 determined. For example, if the frequency deviation instantly exceeds the set disturbance threshold and lasts for a certain period of time, it can be considered a large disturbance. If the frequency deviation fluctuates within a certain range and recovers quickly, 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, the real-time frequency deviation is continuously monitored. If the deviation continuously lasts for longer than the predetermined time threshold, it is determined to be a large grid disturbance, and the secondary frequency modulation is shielded for a short time. A primary frequency modulation compensation amount is generated according to the frequency deviation characteristics, and the primary frequency modulation compensation is performed centrally using an energy storage device.

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

[0029] When it is determined that there is a large disturbance in the power grid, in order to prevent the secondary frequency modulation from having a negative impact on the regulation of the power grid frequency, the secondary frequency modulation can be shielded for a short time. By focusing on the primary frequency modulation (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 compensation amount according to the size and duration of the frequency deviation. This compensation amount is usually dynamically calculated based on the size and duration of the deviation and the bearing capacity of the power grid. Finally, based on the primary frequency compensation amount, the energy storage device is used to help adjust the power grid frequency to a normal range by quickly releasing or absorbing electricity. Through this judgment and control mechanism, it can be ensured that when a large disturbance occurs, the power grid can quickly restore the frequency, while avoiding over-reliance on the secondary frequency modulation system, thereby improving the response efficiency and stability of the overall frequency modulation system.

[0030] Step 4: 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 based on the analysis of the effective disturbance distribution characteristics, and use the energy storage device to perform graded compensation.

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

[0032] Then, by statistics and analysis of effective disturbance data, the distribution characteristics of disturbance are obtained; finally, the frequency modulation compensation strategy is obtained according to the analysis of the effective disturbance distribution characteristics, such as selecting the appropriate frequency modulation compensation amount and compensation timing according to the size and duration of the disturbance; allocating appropriate power to each compensation interval to avoid over-adjustment or under-adjustment, and dynamically adjusting the compensation strategy according to the characteristics of the disturbance in different time periods of the disturbance, such as: for disturbances with a shorter duration, slight compensation; for disturbances with larger frequency deviations, larger compensation. Finally, according to the frequency modulation compensation strategy, the energy storage device is used for graded compensation, that is, the energy storage device accurately adjusts the power output according to the real-time compensation strategy to achieve rapid response and effective adjustment of the frequency.

[0033] By providing an energy storage control method for optimizing the frequency regulation performance of thermal power units, it is possible to solve the drawbacks of existing energy storage frequency regulation methods that they cannot achieve primary and secondary frequency regulation while meeting a high pass rate, and that there is a technical problem of insufficient frequency regulation control accuracy. The current signal and voltage signal of the thermal power unit bus are collected in real time, a first output frequency is obtained through vector synthesis, and the second output frequency of the thermal power unit is monitored synchronously. The unit output frequency is obtained based on the first output frequency and the second output frequency; the unit output frequency is analyzed for fluctuation deviations, and a real-time frequency deviation is calculated; if the real-time frequency deviation is not 0 and exceeds a predetermined large disturbance fluctuation threshold, the real-time frequency deviation is continuously monitored; if the continuous duration of the deviation exceeds a predetermined time threshold, it is determined to be a large disturbance in the power grid, and the secondary frequency regulation is short-term shielded, a primary frequency regulation compensation amount is generated based on the frequency deviation characteristics, and a primary frequency regulation compensation is centralized using an energy storage device; if the real When the 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, effective disturbance statistics are performed according to predetermined rules, and effective disturbance distribution characteristics are obtained. A frequency regulation compensation strategy is obtained according to the analysis of the effective disturbance distribution characteristics, and graded compensation is performed using the energy storage device; it is capable of realizing two-way optimization of the primary frequency regulation and secondary frequency regulation functions of the unit, and on the premise of ensuring that the qualified rate of the primary frequency regulation of the unit meets the dispatching requirements, the control accuracy of the secondary frequency regulation is improved, and the key indicators of the secondary frequency regulation are improved. At the same time, the auxiliary service benefits brought by the secondary frequency regulation can be increased as much as possible without or with less primary frequency regulation assessment.

[0034] Further, the first output frequency is obtained by vector synthesis, as shown in the attached Figure 2 As shown, this application includes:

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

[0036] Specifically, in actual power systems, current and voltage signals often have time-varying characteristics. These signals can be converted from the time domain to the frequency domain through Fourier transform for accurate frequency analysis. By calculating the phase difference between the current signal and the voltage signal, the frequency output of the unit in the power grid can be determined. First, the current signal and the voltage signal are Fourier transformed. Fourier transform is a mathematical operation that can convert the time domain signal to the frequency domain, thereby revealing the intensity of different frequency components in the signal, and obtaining the current frequency domain signal and the voltage frequency domain signal, which contain the amplitude and phase information of different frequency components. Then, the phase difference of the current frequency domain signal and the voltage frequency domain signal is calculated, and the first output frequency is determined according to the phase difference calculation result. In a stable power grid environment, the phase difference of the current and voltage signals will show a certain relationship with the frequency. By accurately analyzing the frequency domain signals of the current and voltage, the phase difference between the current and the voltage is calculated, and then the power grid frequency is calculated.

[0037] Furthermore, the present application includes:

[0038] 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 characteristics are greater than a predetermined frequency deviation threshold, set the first output frequency to the unit output frequency; if the frequency fluctuation characteristics are less than or equal to the predetermined frequency deviation threshold, set the second output frequency to the unit output frequency.

[0039] Specifically, first, the output frequency data of the thermal power unit is collected in real time or periodically and stored in a monitoring frequency set (frequency historical data). This monitoring frequency set usually includes frequency measurement data within a certain time window to obtain a monitoring frequency set within a predetermined historical period; then, the acquired historical frequency data is subjected to fluctuation analysis to analyze the frequency change trend, amplitude, duration and other information to obtain the frequency fluctuation characteristics.

[0040] It is further determined whether the frequency fluctuation characteristic is greater than the predetermined frequency deviation threshold. If the frequency fluctuation characteristic is greater than the predetermined frequency deviation threshold, the first output frequency is selected as the unit output frequency. The first output frequency is suitable for large fluctuations and can respond relatively quickly and provide stable frequency measurement; if the frequency fluctuation characteristic is less than or equal to the predetermined frequency deviation threshold, the second output frequency is selected as the unit output frequency. The second output frequency is suitable for scenarios where the grid fluctuation is small and the frequency change is relatively stable. By combining vector synthesis and direct frequency sampling, the bus frequency of the thermal power unit can be accurately identified. The complementarity of the two measurement methods ensures the high accuracy and reliability of the frequency data, provides more accurate input data for the frequency regulation control system, effectively improves the response capability and accuracy of the thermal power unit in the grid frequency regulation, and optimizes the stability control of the 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 the primary frequency compensation, it is first necessary to confirm that the frequency has returned to an acceptable range. This can be judged by real-time monitoring of the grid frequency deviation value. When the frequency deviation is close to zero and maintained for a period of time, it is considered that the primary frequency compensation has been completed. Then, when the primary frequency compensation is completed and the frequency is restored to the predetermined range, the restrictions on the secondary frequency 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 transition, the process of lifting the secondary frequency restriction can be carried out in stages. Gradually lifting the restrictions helps to make a smooth transition and avoid drastic frequency changes after the primary frequency compensation is completed. After the primary frequency compensation is completed, the process of restoring the secondary frequency function needs to ensure that the restrictions on the secondary frequency are gradually lifted after the frequency is stable, and gradually restore the detailed adjustment of the secondary frequency. Through smooth transition and dynamic control, the system can ensure that the primary frequency is completed efficiently after a large disturbance, and optimize the detailed adjustment of frequency fluctuations through secondary frequency regulation, and finally achieve stable operation and efficient regulation of the power grid.

[0048] Furthermore, the present application includes:

[0049] The real-time frequency deviation is continuously monitored, and disturbance frequency, disturbance amplitude and disturbance duration are analyzed to obtain a plurality of disturbance characteristic data; the disturbance characteristic data are screened according to a predetermined rule, and effective disturbance characteristics are counted to generate effective disturbance distribution characteristics, wherein the effective disturbance distribution characteristics include disturbance type, disturbance intensity, disturbance mode and disturbance distribution range.

[0050] Specifically, the real-time frequency deviation is continuously monitored, and the disturbance frequency, disturbance amplitude and disturbance duration of the real-time frequency deviation are analyzed, that is, the rate of change of the frequency deviation, that is, the disturbance frequency, is analyzed. The disturbance frequency refers to the frequency of frequency fluctuations, which is usually used to distinguish between rapidly changing disturbances in the power grid (such as instantaneous load changes) and relatively stable disturbances (such as long-term frequency drift); the amplitude of the frequency deviation is analyzed, that is, the difference between the maximum and minimum values ​​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; the duration of the frequency deviation is analyzed, and the duration of each disturbance is calculated. The longer the duration, the longer the duration may indicate that the power grid disturbance lasts longer and requires longer adjustment and compensation; and multiple disturbance characteristic data are obtained.

[0051] Next, the disturbance characteristic data is screened according to predetermined rules, that is, the disturbance data monitored in real time is screened according to preset rules, and only those effective disturbance data with large amplitude, long duration and significant frequency deviation are retained, and smaller or unimportant disturbance data are ignored, and effective disturbance distribution characteristics are generated, wherein the effective disturbance distribution characteristics include disturbance type, disturbance intensity, disturbance mode and disturbance distribution range, wherein the disturbance type includes load mutation, equipment failure, wind power fluctuation, etc., and the disturbance intensity includes micro-disturbance, moderate disturbance, severe disturbance, etc.; the disturbance distribution range refers to the impact range of the disturbance, such as whether the disturbance is limited to a certain area or spreads to the entire power grid, and whether the impact is widespread.

[0052] By analyzing the disturbance frequency, amplitude, and duration, multi-dimensional disturbance feature data can be obtained. By screening and analyzing effective disturbances, effective disturbance distribution characteristics are 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 reduce invalid regulation operations.

[0053] Furthermore, the present application includes:

[0054] Collect a sample effective disturbance distribution feature set, and collect frequency modulation compensation schemes corresponding to different sample effective disturbance distribution features to obtain a sample frequency modulation compensation scheme set; use the sample effective disturbance distribution feature set 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.

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

[0056] Furthermore, the present application includes:

[0057] The training data is equally divided into N parts, and selected N times with replacement to obtain a first training set, and iteratively selected N times to obtain N training sets; taking the sample effective disturbance distribution characteristics as input and the sample frequency modulation compensation scheme as supervision, the BP neural network is supervised and trained using the N training sets 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 integrated and 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 selected N times with replacement to obtain the first training set, and the same method is used to iteratively select N times to obtain N training sets; then, the sample effective disturbance distribution characteristics are used as input, and the sample frequency modulation compensation scheme is used as supervision, and the BP neural network is supervised and trained using the N training sets, that is, the supervised learning method is used to train the neural network using known training data (effective disturbance 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 conditions are met, and the trained N converged frequency modulation compensation analysis units are obtained. Finally, the frequency modulation compensation analysis plug-in is integrated and constructed according to the N converged 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 converged frequency modulation compensation analysis units.

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

[0060] By real-time acquisition of current signals and voltage signals of the thermal power unit bus, a first output frequency is obtained through vector synthesis, and the 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; the fluctuation deviation of the unit output frequency is analyzed to calculate the 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, and if the continuous deviation duration exceeds the predetermined time threshold, it is determined to be a large disturbance of the power grid, and the secondary frequency modulation is short-term shielded, and the primary frequency modulation compensation amount is generated according to the frequency deviation characteristics, and the primary frequency modulation compensation is centralized by using the energy storage device ... When the 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, effective disturbance statistics are performed according to predetermined rules, and effective disturbance distribution characteristics are obtained. A frequency regulation compensation strategy is obtained according to the analysis of the effective disturbance distribution characteristics, and graded compensation is performed using the energy storage device; it is capable of realizing two-way optimization of the primary frequency regulation and secondary frequency regulation functions of the unit, and on the premise of ensuring that the qualified rate of the primary frequency regulation of the unit meets the dispatching requirements, the control accuracy of the secondary frequency regulation is improved, and the key indicators of the secondary frequency regulation are improved. At the same time, the auxiliary service benefits brought by the secondary frequency regulation can be increased as much as possible without or with less primary frequency regulation assessment.

[0061] Embodiment 2. Based on the inventive concept of an energy storage control method for optimizing the frequency regulation performance of a thermal power unit in the aforementioned embodiment, the present application also provides 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 an energy storage control method for optimizing the frequency regulation performance of a thermal power unit as described in any one of the aforementioned embodiments 1.

[0062] Attached Figure 3 This is a schematic diagram of the structure of an exemplary electronic device of this application. Figure 3In the embodiment, the bus architecture is represented by bus 300, which may include any number of interconnected buses and bridges, and bus 300 connects various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not 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, namely a transceiver, providing a unit for communicating with various other devices over a 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 the same inventive concept as the energy storage control method for optimizing the frequency regulation performance of a thermal power unit in the aforementioned embodiment, the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed, the steps of the energy storage control method for optimizing the frequency regulation performance of a thermal power unit described in any one of the aforementioned embodiments 1 are implemented.

[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 apparent to those skilled in the art, and the general principles defined herein may 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 the embodiments shown herein, but will conform to 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 belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A method for controlling energy storage for optimizing the frequency regulation performance of a thermal power unit, 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, the real-time frequency deviation is continuously monitored, effective disturbance statistics are performed according to predetermined rules, and effective disturbance distribution characteristics are obtained. A frequency modulation compensation strategy is obtained based on the analysis of the effective disturbance distribution characteristics, and graded compensation is performed using the energy storage device.

2. The energy storage control method for optimizing the frequency regulation performance of a thermal power unit according to claim 1, characterized in that: 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 2, characterized in that: 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.

4. 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.

5. 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.

6. The 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.

7. The energy storage control method for optimizing the frequency regulation 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: Collecting a sample effective disturbance distribution feature set, and collecting frequency modulation compensation schemes corresponding to different sample effective disturbance distribution features, to obtain a sample frequency modulation compensation scheme set; Using the sample effective disturbance distribution feature set and the sample frequency modulation compensation scheme set as training data, supervised training is performed on the BP neural network to obtain a frequency modulation compensation analysis plug-in; The effective disturbance distribution characteristics are input into the frequency modulation compensation analysis plug-in, and the frequency modulation compensation strategy is output.

8. The energy storage control method for optimizing the frequency regulation performance of a thermal power unit according to claim 7, characterized in that: The sample effective disturbance distribution feature set and the sample frequency modulation compensation scheme set are used as training data to perform supervised training on the BP neural network to obtain a frequency modulation compensation analysis plug-in, including: Divide the training data into N equal parts, select them N times with replacement to obtain a first training set, and iterate the selection N times to obtain N training sets; Taking the sample effective disturbance distribution characteristics as input and the sample frequency modulation compensation scheme as supervision, the BP neural network is supervised and trained respectively using the N training sets to obtain N convergent frequency modulation compensation analysis units; The frequency modulation compensation analysis plug-in is integrated and 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.

9. An electronic device, comprising: at least one processor; a memory communicatively coupled to the at least one processor; Wherein, the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the steps of an energy storage control method for optimizing the frequency regulation performance of a thermal power unit as described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed, implements the steps of an energy storage control method for optimizing the frequency regulation performance of a thermal power unit as described in any one of claims 1 to 8.

Images