APS wide load automatic control system based on peak regulation of pulverizing depth

Abstract

This invention relates to the field of coal mill power control, and addresses the problem of insufficient adjustment capacity of coal mills during peak-shaving operation of thermal power generating units, leading to excessive energy consumption. Specifically, it is an APS wide-load automated control system based on pulverization depth peak shaving. In this invention, peak-shaving patterns are modeled, and a peak-shaving pattern model of thermal power units is generated based on historical data statistics. This accurately captures the adjustment patterns of thermal power units, and performs dynamic fuel matching analysis based on the adjustment patterns of thermal power units. A fuel quantity change model is constructed based on fuel consumption and surplus, and linked with the peak-shaving model to predict future load fluctuation trends. This allows for advance adjustment of pulverization model parameters, reducing the impact of sudden load changes on unit stability, achieving dynamic adaptation between fuel supply and peak-shaving demand, and improving the response accuracy and flexibility of coal mills under wide-load scenarios.

Description

Technical Field

[0001] This invention relates to the field of coal mill power control, specifically to an APS wide-load automated control system based on pulverization depth peak shaving. Background Technology

[0002] Currently, large thermal power generating units are facing the dual pressures of energy conservation and emission reduction, as well as high requirements for unit flexibility, leading to a decline in unit economic efficiency. Large thermal power plants have begun to use various energy conservation and emission reduction technologies and technologies to improve unit flexibility to upgrade large thermal power generating units. Among them, the deep peak shaving technology of thermal power plants can regulate the power generation of thermal power plants, thereby achieving better power generation coupling, improving economic efficiency, and achieving energy conservation and emission reduction.

[0003] In the process of thermal power generation, the coal mill is the main equipment of the coal pulverization system in the thermal power plant. With the deep peak shaving operation of thermal power generation, the fuel demand of thermal power generation will change. If the coal mill cannot keep up with the change of power generation, the coal pulverization supply of the coal mill will be uncertain. At the same time, it is easy to cause frequent start-up and shutdown of the coal mill, resulting in inconsistent fuel control and a significant increase in energy consumption. Therefore, it is necessary to introduce an APS system to manage the load of the coal mill's pulverization operation, thereby improving the operating efficiency of the coal mill.

[0004] To address the aforementioned technical problems, this application proposes a solution. Summary of the Invention

[0005] In this invention, by modeling the peak-shaving pattern and generating a peak-shaving pattern model for thermal power units based on historical data statistics, the adjustment pattern of thermal power units can be accurately captured. Based on the adjustment pattern of thermal power units, dynamic fuel matching analysis is performed. A fuel quantity change model is constructed based on fuel consumption and surplus, and linked with the peak-shaving model to predict future load fluctuation trends. This allows for advance adjustment of pulverizing model parameters, reducing the impact of sudden load changes on unit stability, achieving dynamic adaptation between fuel supply and peak-shaving demand, improving the response accuracy and flexibility of the coal mill under wide load scenarios, and solving the problem of insufficient adjustment capacity of the coal mill during peak-shaving operation of thermal power units, leading to excessive energy consumption. Therefore, an APS wide-load automated control system based on deep pulverizing peak-shaving is proposed.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] The APS wide-load automated control system based on pulverizing depth peak shaving includes a peak shaving model generation unit. The peak shaving model generation unit is used to statistically analyze the peak shaving operation of thermal power units and generate an empirical model of the peak shaving law of thermal power units based on the statistical results.

[0008] The fuel management unit statistically analyzes the fuel supply of the thermal power unit, records fuel consumption and fuel remaining, constructs a fuel quantity change model, and obtains a peak shaving pattern model through a peak shaving model generation unit, and matches the fuel change model and the peak shaving pattern model.

[0009] A pulverizing model generation unit is used to statistically analyze the operating load and start-up / shutdown status of the coal mill and generate a pulverizing load model.

[0010] The efficiency management unit obtains the milling load model through the milling model generation unit, performs a balance analysis on the milling quantity, milling load and milling consumption based on the milling load model, generates milling energy efficiency, and determines whether the milling energy efficiency meets the requirements.

[0011] The wide-load prediction and regulation unit obtains the pulverizing energy efficiency judgment result through the efficiency overall management unit, then obtains the matching result of the fuel change model and the peak shaving law model, makes a prediction on the fuel change model, and sends the prediction result to the pulverizing model generation unit to improve the pulverizing energy efficiency of the pulverizing model generation unit.

[0012] In a preferred embodiment of the present invention, when the peak-shaving model generation unit performs statistics on the peak-shaving operation of the thermal power unit, it performs statistics on the power generation operation of the thermal power unit at a set time interval, and records the power generation operation power at a short period of 24 hours, which is recorded as a short period of power generation operation power change.

[0013] The peak-shaving model generation unit acquires all short-cycle power generation changes within a month, obtains multiple sets of short-cycle power generation changes, and performs an arithmetic average of the power generation at the same time point within each short cycle to obtain the average power generation at each time point within a month. The peak-shaving model generation unit uses the average power generation as the vertical axis and 24 hours as the horizontal axis, creating a data point on the horizontal axis at each set time interval to obtain the average power generation change curve. The average power generation change curve is used as the peak-shaving law model of thermal power units.

[0014] In a preferred embodiment of the present invention, when the fuel management unit performs statistics on fuel consumption, it performs the statistics at the same time interval as when it performs statistics on the peak-shaving operation of thermal power units, so as to obtain the fuel consumption between each time interval, and at the same time interval, it obtains the remaining fuel amount.

[0015] The fuel management unit constructs a fuel consumption curve based on time intervals and fuel consumption, and a fuel remaining curve based on time intervals and fuel remaining amount.

[0016] The fuel management unit compares the fuel consumption curve with the peak shaving law model, and obtains the ratio between the power generation operation power and the fuel consumption rate through the ratio of power generation operation power to fuel consumption in the peak shaving law model.

[0017] In a preferred embodiment of the present invention, the pulverizing model generation unit performs statistical analysis of the operating load of the coal mill at the same time interval as the peak-shaving operation during coal mill operation, and records the operating load as 0 when the coal mill is shut down;

[0018] The pulverizing model generation unit generates a pulverizing load model with time as the horizontal axis and the operating power of the coal mill as the vertical axis.

[0019] In a preferred embodiment of the present invention, the efficiency management unit acquires the fuel remaining amount curve and the pulverizing load model, and obtains the ratio of pulverizing load to fuel remaining amount corresponding to each horizontal axis point by comparing the curves in the fuel remaining amount curve and the pulverizing load model, and records it as the pulverizing ratio.

[0020] In a preferred embodiment of the present invention, the efficiency management unit obtains the fuel remaining amount curve and the fuel consumption curve through the fuel management unit, and calculates the total pulverization amount by summing the vertical axis of the fuel consumption curve and the difference between the two ends of the fuel remaining amount curve.

[0021] The efficiency management unit obtains the total energy consumption of the coal mill through the power metering equipment;

[0022] The efficiency management unit obtains the pulverizing energy efficiency through a calculation model, compares the pulverizing energy efficiency with the set energy efficiency, and generates an energy efficiency qualified signal or an energy efficiency unqualified signal based on the comparison result.

[0023] In a preferred embodiment of the present invention, the wide load prediction and adjustment unit does not perform adjustment after obtaining the energy efficiency qualified signal;

[0024] After receiving the energy efficiency failure signal, the wide-load prediction and control unit analyzes the pulverizing ratio:

[0025] The wide load prediction and adjustment unit obtains preset high ratio and low ratio, and compares the flour production ratio with the high ratio and low ratio respectively. If the flour production ratio is greater than the high ratio or less than the low ratio, it is recorded as a normal point. If the flour production ratio is between the high ratio and the low ratio, it is recorded as an abnormal point.

[0026] The wide load prediction unit obtains the abscissa corresponding to the abnormal point and obtains the fuel remaining amount corresponding to the abscissa through the fuel remaining amount curve. If the fuel remaining amount is greater than the set threshold, the pulverization ratio is adjusted to a lower value; if the fuel remaining amount is less than or equal to the set threshold, the pulverization ratio is adjusted to a higher value.

[0027] In a preferred embodiment of the present invention, the wide load prediction unit performs real-time analysis based on the peak power model and the fuel remaining quantity curve, and sends the analysis results to the pulverizing model generation unit to adjust the pulverizing power in real time.

[0028] Compared with the prior art, the beneficial effects of the present invention are:

[0029] 1. In this invention, by modeling the peak-shaving pattern and generating a peak-shaving pattern model of thermal power units based on historical data statistics, the adjustment pattern of thermal power units can be accurately captured. Based on the adjustment pattern of thermal power units, dynamic fuel matching analysis is performed. A fuel quantity change model is constructed based on fuel consumption and surplus, and linked with the peak-shaving model to achieve dynamic adaptation between fuel supply and peak-shaving demand, thereby improving the response accuracy and flexibility of coal mills under wide load scenarios.

[0030] 2. In this invention, by modeling the pulverizing load and performing a balance analysis based on the modeling results, closed-loop management of pulverizing energy efficiency is achieved. By statistically analyzing the output and energy consumption of the coal mill, a balance analysis of pulverizing quantity, load, and consumption is performed to determine energy efficiency compliance in real time. Feedback optimization is performed when energy efficiency fails to meet the standards, thereby ensuring that the energy consumption of the pulverizing process is always at a relatively optimal level, achieving the goal of energy conservation and emission reduction.

[0031] 3. In this invention, by integrating the peak shaving law model, fuel change model and pulverizing energy efficiency results, the future load fluctuation trend is predicted, thereby adjusting the pulverizing model parameters in advance, reducing the impact of sudden load changes on unit stability, ensuring the reliability of operation under all conditions, and avoiding the shutdown of the coal mill due to excessive coal powder storage. Attached Figure Description

[0032] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0033] Figure 1 This is a system block diagram of the present invention;

[0034] Figure 2 This is a system flowchart of the present invention. Detailed Implementation

[0035] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0036] Example 1:

[0037] Please see Figure 1 - Figure 2 As shown, the APS wide-load automated control system based on pulverizing depth peak shaving includes a peak shaving model generation unit, a fuel management unit, a pulverizing model generation unit, an efficiency overall management unit, and a wide-load prediction and adjustment unit.

[0038] The peak shaving model generation unit is used to statistically analyze the peak shaving operation of thermal power units. When statistically analyzing the peak shaving operation of thermal power units, the peak shaving model generation unit uses a set time interval as a unit to statistically analyze the power generation of thermal power units, and records the power generation operation with a short period of 24 hours, recording it as a short period of power generation operation change.

[0039] The peak shaving model generation unit acquires all short-cycle power generation changes within a month, obtains multiple sets of short-cycle power generation changes, and performs an arithmetic average of the power generation at the same time point within each short cycle to obtain the average power generation at each time point within a month. The peak shaving model generation unit uses the average power generation as the vertical axis and 24 hours as the horizontal axis, creating a data point on the horizontal axis at each set time interval to obtain the average power generation change curve. The average power generation change curve is used as the peak shaving law model of thermal power units.

[0040] The fuel management unit compiles statistics on the fuel supply of thermal power units, records fuel consumption and fuel remaining amount. When compiling fuel consumption statistics, the fuel management unit compiles statistics at the same time interval as when compiling statistics on peak-shaving operation of thermal power units, and obtains the fuel consumption between each time interval. At the same time, it obtains the fuel remaining amount at the same time interval.

[0041] The fuel management unit constructs a fuel consumption curve based on time intervals and fuel consumption, and a fuel remaining curve based on time intervals and fuel remaining amount.

[0042] The fuel management unit compares the fuel consumption curve with the peak shaving law model. By comparing the ratio of power generation operation power to fuel consumption in the peak shaving law model, the ratio between power generation operation power and fuel consumption rate is obtained, which makes it easier to calculate the amount of fuel required when the power generation operation power is maintained for a certain period of time.

[0043] The pulverizing model generation unit is used to statistically analyze the operating load and start-up / shutdown status of the coal mill. When the coal mill is running, the pulverizing model generation unit statistically analyzes the operating load of the coal mill at the same time interval as the peak-shaving operation. When the coal mill is shut down, the operating load is recorded as 0.

[0044] The pulverizing model generation unit generates a pulverizing load model with time as the horizontal axis and the operating power of the coal mill as the vertical axis.

[0045] The efficiency management unit obtains the milling load model through the milling model generation unit. Based on the milling load model, it performs a balance analysis on milling quantity, milling load, and milling consumption to generate milling energy efficiency and determine whether the milling energy efficiency meets the requirements. The specific method is as follows:

[0046] Step 1: The efficiency management unit obtains the fuel remaining amount curve and the pulverizing load model. By comparing the curves in the fuel remaining amount curve and the pulverizing load model, the ratio of pulverizing load to fuel remaining amount corresponding to each horizontal axis point is obtained and recorded as the pulverizing ratio.

[0047] Step 2: The efficiency management unit obtains the fuel remaining amount curve and fuel consumption curve through the fuel management unit, and calculates the total pulverization by summing the vertical axis of the fuel consumption curve and the difference between the two ends of the fuel remaining amount curve.

[0048] Step 3: The efficiency management unit obtains the total energy consumption of the coal mill through the electricity metering equipment;

[0049] Step 4: The efficiency management unit obtains the pulverizing energy efficiency through the calculation model, compares the pulverizing energy efficiency with the set energy efficiency, and generates an energy efficiency qualified signal or an energy efficiency unqualified signal based on the comparison results.

[0050] Example 2:

[0051] Please see Figure 1 - Figure 2 As shown, the wide-load forecasting and regulating unit obtains the pulverizing energy efficiency judgment result through the efficiency overall management unit. After obtaining the energy efficiency qualified signal, the wide-load forecasting and regulating unit does not perform any regulation.

[0052] After receiving an energy efficiency failure signal, the wide load prediction and control unit obtains preset high and low ratio values ​​and compares the pulverizing ratio with the high and low ratio values ​​respectively. If the pulverizing ratio is greater than the high ratio or less than the low ratio, it is recorded as a normal point. If the pulverizing ratio is between the high and low ratio values, it is recorded as an abnormal point.

[0053] The wide load prediction unit obtains the abscissa corresponding to the abnormal point and obtains the fuel remaining amount corresponding to the abscissa through the fuel remaining amount curve. If the fuel remaining amount is greater than the set threshold, the pulverization ratio is adjusted to a lower value; if the fuel remaining amount is less than or equal to the set threshold, the pulverization ratio is adjusted to a higher value.

[0054] The wide-load forecasting unit then acquires the matching results of the fuel change model and the peak-shaving law model. Based on the peak-shaving power model and the fuel surplus curve, it performs real-time analysis. By combining the power change curve in the peak-shaving power model with the ratio between the power generation operation power and the fuel consumption rate, it calculates the amount of pulverized coal required for future power generation operation. Based on the required amount of pulverized coal and the current remaining amount of pulverized coal, it makes a prediction on the fuel change model. Then, based on the production process standard requirements of the remaining pulverized coal, it calculates the pulverized coal production volume, and predicts the future pulverizing power. The prediction results are sent to the pulverizing model generation unit to adjust the pulverizing power in real time and improve the pulverizing energy efficiency of the pulverizing model generation unit.

[0055] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. An APS wide-load automated control system based on milling depth peak shaving, characterized in that, It includes a peak shaving model generation unit, which is used to statistically analyze the peak shaving operation of thermal power units, and generate an empirical model of the peak shaving law of thermal power units based on the statistical results. The fuel management unit statistically analyzes the fuel supply of the thermal power unit, records fuel consumption and fuel remaining, constructs a fuel quantity change model, and obtains a peak shaving pattern model through a peak shaving model generation unit, and matches the fuel change model and the peak shaving pattern model. A pulverizing model generation unit is used to statistically analyze the operating load and start-up / shutdown status of the coal mill and generate a pulverizing load model. The efficiency management unit obtains the milling load model through the milling model generation unit, performs a balance analysis on the milling quantity, milling load and milling consumption based on the milling load model, generates milling energy efficiency, and determines whether the milling energy efficiency meets the requirements. The wide-load prediction and regulation unit obtains the pulverizing energy efficiency judgment result through the efficiency overall management unit, then obtains the matching result of the fuel change model and the peak shaving law model, makes a prediction on the fuel change model, and sends the prediction result to the pulverizing model generation unit to improve the pulverizing energy efficiency of the pulverizing model generation unit. When the peak-shaving model generation unit performs statistics on the peak-shaving operation of thermal power units, it performs statistics on the power generation operation of thermal power units at a set time interval, and records the power generation operation power with a short period of 24 hours, recording it as a short-period power generation operation power change. The peak shaving model generation unit acquires all short-cycle power generation changes within a month, obtains multiple sets of short-cycle power generation changes, and performs an arithmetic average of the power generation at the same time point within each short cycle to obtain the average power generation at each time point within a month. The peak shaving model generation unit uses the average power generation as the vertical axis and 24 hours as the horizontal axis, creating a data point on the horizontal axis every set time interval to obtain the average power generation change curve. The average power generation change curve is used as the peak shaving law model of thermal power units. When the fuel management unit calculates fuel consumption, it does so at the same time interval as when calculating peak-shaving operation of thermal power units, to obtain the fuel consumption for each time interval, and at the same time interval, it obtains the remaining fuel. The fuel management unit constructs a fuel consumption curve based on time intervals and fuel consumption, and a fuel remaining curve based on time intervals and fuel remaining amount. The fuel management unit compares the fuel consumption curve with the peak shaving law model, and obtains the ratio between the power generation operation power and the fuel consumption rate through the ratio of the power generation operation power and the fuel consumption rate in the peak shaving law model. The efficiency management unit obtains the fuel remaining amount curve and the fuel consumption curve through the fuel management unit, and calculates the total pulverization by summing the vertical axis of the fuel consumption curve and the difference between the two ends of the fuel remaining amount curve. The efficiency management unit obtains the total energy consumption of the coal mill through the power metering equipment; The efficiency management unit obtains the pulverizing energy efficiency through a calculation model, compares the pulverizing energy efficiency with the set energy efficiency, and generates an energy efficiency qualified signal or an energy efficiency unqualified signal based on the comparison result. The wide load prediction and adjustment unit does not perform adjustment after obtaining the energy efficiency qualified signal; After receiving the energy efficiency failure signal, the wide-load prediction and control unit analyzes the pulverizing ratio: The wide load prediction and adjustment unit obtains preset high ratio and low ratio, and compares the flour production ratio with the high ratio and low ratio respectively. If the flour production ratio is greater than the high ratio or less than the low ratio, it is recorded as a normal point. If the flour production ratio is between the high ratio and the low ratio, it is recorded as an abnormal point. The wide load prediction and adjustment unit obtains the abscissa corresponding to the abnormal point and obtains the fuel remaining amount corresponding to the abscissa through the fuel remaining amount curve. If the fuel remaining amount is greater than the set threshold, the pulverization ratio is adjusted to a lower ratio. If the fuel remaining amount is less than or equal to the set threshold, the pulverization ratio is adjusted to a higher ratio.

2. The APS wide-load automated control system based on milling depth peak shaving according to claim 1, characterized in that, The pulverizing model generation unit counts the operating load of the coal mill at the same time interval as the peak-shaving operation during operation, and records the operating load as 0 when the coal mill is shut down. The pulverizing model generation unit generates a pulverizing load model with time as the horizontal axis and the operating power of the coal mill as the vertical axis.

3. The APS wide-load automated control system based on milling depth peak shaving according to claim 1, characterized in that, The efficiency management unit acquires the fuel remaining amount curve and the pulverizing load model. By comparing the curves in the fuel remaining amount curve and the pulverizing load model, the ratio of pulverizing load to fuel remaining amount corresponding to each horizontal axis point is obtained and recorded as the pulverizing ratio.

4. The APS wide-load automated control system based on milling depth peak shaving according to claim 1, characterized in that, The wide-load prediction and adjustment unit performs real-time analysis based on the peak-shaving power model and fuel remaining curve, and sends the analysis results to the pulverizing model generation unit to adjust the pulverizing power in real time.

Images