Green low-carbon source network load storage system

Abstract

The invention relates to the technical field of source network load storage, and discloses a green low-carbon source network load storage system, which comprises a data acquisition module used for acquiring an infrared image of a biomass boiler and extracting feature data according to the infrared image, and the feature data comprises temperature difference, center offset and high-temperature band width; the balance judgment module is used for calculating a balance index according to the characteristic data and comparing the balance index with a preset balance threshold value so as to mark the working state of the biomass boiler, and the working state comprises mismatching and matching; the mismatch execution module is used for adjusting the mass flow rate of the biomass fuel when the biomass boiler is mismatched; and the matching execution module is used for adjusting the charging power of the energy storage battery when the biomass boiler is matched. Quick response can be achieved when the heat flow structure of the biomass boiler is slightly changed, steam fluctuation and electric energy waste are effectively reduced, and the environment-friendly and low-carbon targets are achieved while efficient and stable operation of a source network load storage system is ensured.

Description

Technical Field

[0001] This invention relates to the field of power generation, grid, load and storage technology, and more specifically, to a green and low-carbon power generation, grid, load and storage system. Background Technology

[0002] Industrial parks widely adopt source-grid-load-storage systems that integrate photovoltaics, biomass boilers, energy storage, and municipal steam resources to achieve multi-energy coupling, peak shaving and valley filling, and carbon emission reduction. However, in the process of multi-energy synergy, the biomass boiler, as the core heat source, has operating characteristics that are highly dependent on the spatial matching degree between the grate combustion distribution and the furnace heat absorption.

[0003] Most existing control systems only perform setpoint control based on boiler body temperature, pressure, or flow rate, neglecting the misalignment between the combustion zone and the heat absorption area of ​​the water-cooled walls inside the boiler. For example, the combustion flame zone may shift slightly due to uneven feeding, resistance disturbances, or unstable feed layer. Simultaneously, the corresponding heated area of ​​the water-cooled wall also changes, leading to uneven heat exchange and phenomena such as high heat load shifts, uneven tube wall temperatures, or sudden changes in steam production.

[0004] Current technologies do not employ infrared image recognition to quantify the relationship between combustion and heat absorption, nor do they construct a feedback path to convert image information into fuel flow and energy storage strategies. Therefore, in source-grid-load-storage coordination, biomass boiler output often fails to stably maintain the target heat output, leading to significant fluctuations in downstream steam flow. This further interferes with battery SOC planning and photovoltaic surplus power dispatch strategies, reducing the utilization rate of green energy and compromising its economic viability and low-carbon characteristics. Summary of the Invention

[0005] This invention provides a green and low-carbon source-grid-load-storage system that solves the following technical problem: the operating status of the thermal and structural aspects of a biomass boiler cannot be accurately quantified, leading to a mismatch in the coordinated control of electricity and heat, which in turn causes steam fluctuations and energy storage control failures, affecting the overall low-carbon and efficient operation of the source-grid-load-storage system.

[0006] This invention provides a green, low-carbon source-grid-load-storage system, comprising:

[0007] The data acquisition module is used to acquire infrared images of the biomass boiler and extract feature data based on the infrared images. The feature data includes: temperature difference, center offset, and high temperature zone width.

[0008] The balance determination module is used to calculate the balance index based on the feature data and compare the balance index with the preset balance threshold to mark the working status of the biomass boiler. The working status includes mismatch and matching.

[0009] The mismatch execution module is used to adjust the mass flow rate of biomass fuel when a biomass boiler is mismatched.

[0010] The matching execution module is used to adjust the charging power of the energy storage battery when matching the biomass boiler.

[0011] Furthermore, infrared images of the biomass boiler are acquired using an infrared camera, including:

[0012] The optical axis of the infrared camera has a downward tilt angle of 30° to 35° relative to the grate plane of the biomass boiler; and the optical axis of the infrared camera has a lateral tilt angle of 10° to 20° relative to the longitudinal centerline of the grate of the biomass boiler, and is oriented towards the water-cooled wall; the field of view of the infrared camera covers the full width of the high-temperature zone of the grate of the biomass boiler and the area relative to the water-cooled wall.

[0013] Furthermore, feature data is extracted from the infrared image, including:

[0014] Infrared images are isothermally segmented according to a preset grate combustion temperature threshold to form candidate high-temperature pixel regions. A sliding window at an angle of 30° to 35° to the grate direction is used, with the grate pitch as the sliding interval, to continuously scan the candidate high-temperature pixel regions. High-temperature stripes with widths matching the grate pitch and remaining continuous within the sliding window are identified, and the area covered by these continuous high-temperature stripes is denoted as the oblique grate high-temperature zone. The difference between the highest temperature within the oblique grate high-temperature zone and the average temperature of the cold zone in the water-cooled wall region is denoted as the temperature difference. The Euclidean distance between the geometric center of the oblique grate high-temperature zone and the center of the cold zone in the water-cooled wall region is calculated and denoted as the center offset. The extension direction of the continuous high-temperature stripes is determined, and the width of the oblique grate high-temperature zone perpendicular to the extension direction is measured and denoted as the high-temperature zone width.

[0015] Furthermore, the process of obtaining the average temperature of the cold zone and the center of the cold zone in the water-cooled wall region includes:

[0016] A two-dimensional grid is superimposed on the infrared image to divide it into a grid cell matrix. The grid side length is equal to the pipe pitch of the water-cooled wall region, the row lines of the two-dimensional grid are parallel to the pipes of the water-cooled wall region, and the column lines are parallel to the support beams of the water-cooled wall region. The average temperature of each grid cell in the grid cell matrix is ​​measured and calculated, and the grid cells are sorted from smallest to largest based on the average temperature to form a grid cell sequence. Grid cells of a preset proportion are marked from front to back in the grid cell sequence, and the largest number of cell clusters among the marked grid cells are queried in the grid cell matrix. The area covered by the largest number of cell clusters is taken as the cold zone of the water-cooled wall region. The average of the average temperatures of all grid cells in the cold zone of the water-cooled wall region is calculated to obtain the average temperature of the cold zone of the water-cooled wall region. The centroid coordinates of the cold zone of the water-cooled wall region are taken as the center of the cold zone of the water-cooled wall region.

[0017] Furthermore, balance indices are calculated based on the characteristic data, including:

[0018] The ratio of the temperature difference to the preset temperature difference benchmark value is used as the temperature difference proportionality coefficient;

[0019] The ratio of the center offset to the width of the high-temperature zone is used as the offset ratio coefficient;

[0020] The equilibrium index is obtained by multiplying the temperature difference proportionality coefficient and the offset proportionality coefficient.

[0021] Furthermore, the balance index is compared with a preset balance threshold to indicate the operating status of the biomass boiler, including:

[0022] If the balance index is greater than or equal to the preset balance threshold, the working state of the biomass boiler is marked as mismatched.

[0023] If the balance index is less than the preset balance threshold, the working status of the biomass boiler is marked as matched.

[0024] Furthermore, when biomass boilers are mismatched, the mass flow rate of biomass fuel is adjusted, including:

[0025] The difference between the balance index and the preset balance threshold is used as the mismatch deviation coefficient.

[0026] Based on the mismatch deviation coefficient and the current biomass fuel mass flow rate, the updated biomass fuel mass flow rate is generated as follows:

[0027] G=N1+kΦ

[0028] Where G represents the mass flow rate of the updated biomass fuel, k represents the mismatch weighting coefficient, N1 represents the mass flow rate of the biomass fuel at the current moment, and Φ represents the mismatch deviation coefficient.

[0029] Furthermore, when matching biomass boilers, the charging power of energy storage batteries is adjusted, including:

[0030] The charge difference coefficient is calculated based on the current state of charge and the prior upper limit of charge, as follows:

[0031]

[0032] Among them, K SOC SOC represents the load factor. max SPC represents the prior upper limit of charge. curr This indicates the current state of charge.

[0033] The ratio of the current photovoltaic surplus power to the maximum charging power of the energy storage battery is used as the surplus power coefficient; the minimum value among the product of the load factor, surplus power coefficient, preset charging gain and the maximum charging power of the energy storage battery, and the maximum charging power of the energy storage battery is used as the target charging power.

[0034] Determine the difference between the target charging power and the current charging power. If the difference is less than the preset maximum power change rate, apply the difference to the current charging power to generate an updated energy storage battery charging power; otherwise, apply the preset maximum power change rate to the current charging power to generate an updated energy storage battery charging power.

[0035] The beneficial effects of this invention are as follows: by extracting the high-temperature zone of the inclined grate and the cold zone of the water-cooled wall from the infrared image of the biomass boiler, a balance index based on temperature difference and spatial offset is constructed. This balance index drives the dynamic adjustment of biomass fuel feeding and energy storage battery charging and discharging, achieving closed-loop matching between the state of the biomass boiler and the flow of electricity and heat. Compared with traditional control methods, this invention can respond quickly when there are slight changes in the heat flow structure of the biomass boiler, effectively reducing steam fluctuations and energy waste, and ensuring that the source-grid-load-storage system achieves green and low-carbon goals while operating efficiently and stably. Attached Figure Description

[0036] Figure 1 This is a block diagram of a green, low-carbon source-grid-load-storage system according to the present invention. Detailed Implementation

[0037] The subject matter described herein will now be discussed with reference to exemplary embodiments. It should be understood that these embodiments are discussed only to enable those skilled in the art to better understand and implement the subject matter described herein, and changes may be made to the function and arrangement of the elements discussed without departing from the scope of this specification. Various processes or components may be omitted, substituted, or added as needed in the examples. Furthermore, features described in some examples may be combined in other examples.

[0038] like Figure 1 As shown, a green, low-carbon source-grid-load-storage system includes:

[0039] The data acquisition module is used to acquire infrared images of the biomass boiler and extract feature data based on the infrared images. The feature data includes: temperature difference, center offset, and high temperature zone width.

[0040] The balance determination module is used to calculate the balance index based on the feature data and compare the balance index with the preset balance threshold to mark the working status of the biomass boiler. The working status includes mismatch and matching.

[0041] The mismatch execution module is used to adjust the mass flow rate of biomass fuel when a biomass boiler is mismatched.

[0042] The matching execution module is used to adjust the charging power of the energy storage battery when matching the biomass boiler.

[0043] In one embodiment of the present invention, acquiring an infrared image of a biomass boiler using an infrared camera includes:

[0044] The optical axis of the infrared camera has a downward tilt angle of 30° to 35° relative to the grate plane of the biomass boiler; and the optical axis of the infrared camera has a lateral tilt angle of 10° to 20° relative to the longitudinal centerline of the grate of the biomass boiler, and is oriented towards the water-cooled wall; the field of view of the infrared camera covers the full width of the high-temperature zone of the grate of the biomass boiler and the area relative to the water-cooled wall.

[0045] In detail, the grate plane represents the inclined mounting surface in the biomass boiler that carries the fuel layer and undergoes combustion reaction; the longitudinal centerline of the grate represents the axis of symmetry along the length of the grate; the full width of the high-temperature zone of the grate represents the maximum width of the high-temperature zone of the inclined grate in the direction perpendicular to the grate; and the water-cooled wall area represents the intersection area of ​​the water-cooled wall tube bank and the support beam that is aligned with the high-temperature zone of the inclined grate.

[0046] It should be noted that biomass boiler grates are typically installed at an angle of 25° to 40°. The optical axis tilt angle is approximately matched with the grate tilt angle, which allows the high-temperature zone of the inclined grate to appear as continuous horizontal stripes in the infrared image, avoiding geometric distortion caused by the tilt of the viewing angle. The tilt angle ensures that the camera's field of view covers the entire length of the grate. The cold zone of the water-cooled wall area is distributed along the width of the grate and is orthogonal to the high-temperature zone of the inclined grate. The lateral tilt angle allows the camera to simultaneously capture the high-temperature zone of the inclined grate and the corresponding cold zone of the water-cooled wall area.

[0047] It should be noted that the combination of a 30° to 35° downward angle and a 10° to 20° side angle allows the infrared image to simultaneously present: the high-temperature zone of the inclined grate distributed along the grate's tilt angle; and the cold zone of the water-cooled wall area perpendicular to the high-temperature zone of the inclined grate, which are orthogonally distributed in the image.

[0048] In one embodiment of the present invention, feature data extraction based on infrared images includes:

[0049] Infrared images are isothermally segmented according to a preset grate combustion temperature threshold to form candidate high-temperature pixel regions. A sliding window at an angle of 30° to 35° to the grate direction is used, with the grate pitch as the sliding interval, to continuously scan the candidate high-temperature pixel regions. High-temperature stripes with widths matching the grate pitch and remaining continuous within the sliding window are identified, and the area covered by these continuous high-temperature stripes is denoted as the oblique grate high-temperature zone. The difference between the highest temperature within the oblique grate high-temperature zone and the average temperature of the cold zone in the water-cooled wall region is denoted as the temperature difference. The Euclidean distance between the geometric center of the oblique grate high-temperature zone and the center of the cold zone in the water-cooled wall region is calculated and denoted as the center offset. The extension direction of the continuous high-temperature stripes is determined, and the width of the oblique grate high-temperature zone perpendicular to the extension direction is measured and denoted as the high-temperature zone width.

[0050] It should be noted that the temperature of the grate combustion zone is significantly higher than that of the background (the background includes areas such as the furnace wall and flue, with a temperature of approximately 300°C). The preset grate combustion temperature threshold ensures that the candidate high-temperature pixel area only includes the combustion active area on the grate surface, eliminating interference from ambient heat.

[0051] In detail, the grate direction indicates the grate installation tilt angle (30° to 35°), and the grate pitch indicates the center-to-center distance between adjacent grate bars.

[0052] It should be noted that the identification of high-temperature stripes whose width matches the grate pitch and which remain continuous within the sliding window includes:

[0053] Calculate the diagonal connectivity and orthogonal discontinuity within the oblique sliding window. When the ratio of diagonal connectivity to discontinuity is greater than 4, it is recorded as a high-temperature stripe within the oblique sliding window.

[0054] The formula for calculating diagonal connectivity is as follows:

[0055]

[0056] Among them, C d This represents diagonal connectivity, which measures the continuity of the thermal zone along the grate direction. n d The number of consecutive high-temperature stripes, l i Let represent the pixel length of the i-th high-temperature stripe parallel to its extension direction, and W represent the pixel length perpendicular to its extension direction. d The average pixel width of the high-temperature stripes, where α represents the angle of the oblique sliding window, 30°≤α≤35°.

[0057] For example, draw parallel lines along the extension direction of the high-temperature stripes, then determine the number of pixels the parallel lines pass through the i-th high-temperature stripe to obtain the pixel length; similarly, draw perpendicular lines along the extension direction of the high-temperature stripes, then determine the number of pixels the perpendicular lines pass through the i-th high-temperature stripe to obtain the pixel width of the i-th high-temperature stripe, and take n. d The average pixel width is obtained by averaging the pixel widths of the high-temperature stripes.

[0058] The formula for calculating orthogonal fracture intensity is as follows:

[0059]

[0060] Among them, F O Indicates orthogonal fracture degree, used to measure the degree of thermal zone splitting in the direction perpendicular to the grate, m d k represents the number of scan lines in a continuous scan. jThis represents the cumulative number of pixel clusters that the j-th scan line passes through in the high-temperature stripe. For example, if the j-th scan line passes through pixels 1 to 3 and 5 to 7 in the infrared image, where pixels 1 to 3 and pixels 5 to 7 are adjacent pixels, then k... j is 2.

[0061] Traverse all the oblique sliding windows and stitch together the continuously marked high-temperature stripes. The area covered by these stripes is denoted as the high-temperature zone of the oblique grate.

[0062] It should be noted that temperature segmentation in infrared images is based on a pre-trained neural network model. The model obtains the pixel values ​​of elements in the infrared image and outputs these values ​​to the pre-trained neural network model to determine the temperature. The pre-trained neural network model is trained using sample data and labels generated by normalizing the pixel values ​​of the infrared image and the corresponding measured real temperatures, respectively, and then applying a mean squared error loss function.

[0063] In one embodiment of the present invention, the process of obtaining the average temperature of the cold zone and the center of the cold zone in the water-cooled wall region includes:

[0064] A two-dimensional grid is superimposed on the infrared image to divide it into a grid cell matrix. The grid side length is equal to the pipe pitch of the water-cooled wall region, the row lines of the two-dimensional grid are parallel to the pipes of the water-cooled wall region, and the column lines are parallel to the support beams of the water-cooled wall region. The average temperature of each grid cell in the grid cell matrix is ​​measured and calculated, and the grid cells are sorted from smallest to largest based on the average temperature to form a grid cell sequence. Grid cells of a preset proportion are marked from front to back in the grid cell sequence, and the largest number of cell clusters among the marked grid cells are queried in the grid cell matrix. The area covered by the largest number of cell clusters is taken as the cold zone of the water-cooled wall region. The average of the average temperatures of all grid cells in the cold zone of the water-cooled wall region is calculated to obtain the average temperature of the cold zone of the water-cooled wall region. The centroid coordinates of the cold zone of the water-cooled wall region are taken as the center of the cold zone of the water-cooled wall region.

[0065] It should be noted that the tube rows and support beams in the water-cooled wall region are orthogonally arranged (the tube rows are arranged horizontally, and the support beams are fixed vertically). Their intersection nodes form strong heat dissipation areas due to the metal thermal bridge effect, which appear as low temperatures in infrared images. The grid side length adopts the tube row pitch to ensure that each grid cell corresponds to the area formed by a single tube row and a single support beam.

[0066] It should be noted that areas with strong heat dissipation efficiency have significantly lower grid cell temperatures than other areas. By using a preset screening ratio, interference such as fly ash deposition within the furnace can be eliminated.

[0067] It should be noted that the cold zones in the water-cooled wall area should be distributed in regular rows and columns (aligned with the area formed by a single tube bank and a single support beam). Scattered low-temperature clusters are mostly transient interferences and need to be eliminated.

[0068] In detail, the average temperature of the cold zone in the water-cooled wall region reflects the overall heat dissipation intensity of the water-cooled wall region. A higher overall heat dissipation intensity indicates that slagging or corrosion in the water-cooled wall region leads to increased thermal resistance and decreased heat dissipation efficiency. The center of the cold zone in the water-cooled wall region is calculated using the centroid method. This center serves as the geometric reference for the cold zone of the water-cooled wall region, used for alignment with the center of the high-temperature zone of the inclined grate.

[0069] In one embodiment of the present invention, calculating a balance index based on feature data includes:

[0070] The ratio of the temperature difference to the preset temperature difference benchmark value is used as the temperature difference proportionality coefficient;

[0071] The ratio of the center offset to the width of the high-temperature zone is used as the offset ratio coefficient;

[0072] The equilibrium index is obtained by multiplying the temperature difference proportionality coefficient and the offset proportionality coefficient.

[0073] It should be noted that the temperature difference proportionality coefficient is used to quantify the relative effectiveness of combustion heat intensity. The coefficient ranges from 0 to 1, monotonically approaching 1 as the temperature difference increases. The offset proportionality coefficient quantifies the spatial alignment between the high-temperature zone of the inclined grate and the cold zone of the water-cooled wall region. It reflects the relative degree to which the geometric center of the high-temperature zone of the inclined grate deviates from the center of the cold zone of the water-cooled wall region; a larger offset proportionality coefficient indicates a more severe spatial misalignment. The balance index represents the degree of mismatch between the high-temperature zone of the inclined grate and the cold zone of the water-cooled wall region.

[0074] In one embodiment of the present invention, comparing a balance index with a preset balance threshold to mark the operating state of the biomass boiler includes:

[0075] If the balance index is greater than or equal to the preset balance threshold, the working state of the biomass boiler is marked as mismatched.

[0076] If the balance index is less than the preset balance threshold, the working status of the biomass boiler is marked as matched.

[0077] Preferably, the preset balance threshold is 0.25.

[0078] It should be noted that a balance index close to 0 indicates that the temperature difference between the high-temperature zone of the inclined grate and the cold zone of the water-cooled wall region is significant and the spatial alignment accuracy is high, while a balance index close to 1 indicates that the temperature difference between the high-temperature zone of the inclined grate and the cold zone of the water-cooled wall region is insufficient and the spatial offset is serious.

[0079] It should be noted that when the balance index is greater than or equal to the preset balance threshold, the biomass boiler is marked as being in a mismatched state; when the balance index is less than the preset balance threshold, the biomass boiler is marked as being in a matched state.

[0080] In one embodiment of the present invention, adjusting the mass flow rate of biomass fuel when a biomass boiler is mismatched includes:

[0081] The difference between the balance index and the preset balance threshold is used as the mismatch deviation coefficient.

[0082] Based on the mismatch deviation coefficient and the current biomass fuel mass flow rate, the updated biomass fuel mass flow rate is generated as follows:

[0083] G=N1+kΦ

[0084] Where G represents the mass flow rate of the updated biomass fuel, k represents the mismatch weighting coefficient, N1 represents the mass flow rate of the biomass fuel at the current moment, and Φ represents the mismatch deviation coefficient.

[0085] It should be noted that when the balance index is greater than or equal to the preset balance threshold, the mismatch deviation coefficient is greater than or equal to 0. The mismatch deviation coefficient directly reflects the severity of the mismatch between the high-temperature zone and the cold zone of the water-cooled wall region of the inclined grate. The larger the mismatch deviation coefficient, the more severe the insufficient temperature difference and spatial offset problem between the high-temperature zone and the cold zone. Therefore, by increasing the mass flow rate of biomass fuel, the maximum temperature in the high-temperature zone of the inclined grate can be increased to correct the spatial offset and the mismatch state.

[0086] In one embodiment of the present invention, adjusting the charging power of the energy storage battery when matching a biomass boiler includes:

[0087] The charge difference coefficient is calculated based on the current state of charge and the prior upper limit of charge, as follows:

[0088]

[0089] Among them, K SOC SOC represents the load factor. max SPC represents the prior upper limit of charge. curr This indicates the current state of charge.

[0090] The ratio of the current photovoltaic surplus power to the maximum charging power of the energy storage battery is used as the surplus power coefficient; the minimum value among the product of the load factor, surplus power coefficient, preset charging gain and the maximum charging power of the energy storage battery, and the maximum charging power of the energy storage battery is used as the target charging power.

[0091] Determine the difference between the target charging power and the current charging power. If the difference is less than the preset maximum power change rate, apply the difference to the current charging power to generate an updated energy storage battery charging power; otherwise, apply the preset maximum power change rate to the current charging power to generate an updated energy storage battery charging power.

[0092] It should be noted that the charge-to-charge factor is used to quantify the rechargeable capacity of an energy storage battery. The prior upper charge limit represents the maximum state of charge (SCC) for safe operation of the energy storage battery, as defined by the manufacturer. The current SCC represents the remaining capacity of the battery. The charge-to-charge factor ranges from 0 to 1. The larger the charge-to-charge factor, the higher the potential charging power that the energy storage battery can accept. For example, if the current SCC is 0.6 times the prior upper charge limit, the charge-to-charge factor is 0.4, indicating that the energy storage battery still has 40% of its capacity available.

[0093] It should be noted that the surplus power coefficient is used to quantify the extent to which surplus photovoltaic power covers the battery charging capacity.

[0094] It should be noted that sudden changes in the charging and discharging power of energy storage batteries can lead to increased electrode polarization and a higher risk of thermal runaway. By setting a preset maximum power change rate, a smooth transition in charging power can be achieved.

[0095] The embodiments of this example have been described above. However, this example is not limited to the specific implementation methods described above. The specific implementation methods described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms based on the guidance of this example, and all of them are within the protection scope of this example.

Claims

1. A green, low-carbon source-grid-load-storage system, characterized in that, include: The data acquisition module is used to acquire infrared images of the biomass boiler and extract feature data based on the infrared images. The feature data includes: temperature difference, center offset, and high temperature zone width. The balance determination module is used to calculate the balance index based on the feature data and compare the balance index with the preset balance threshold to mark the working status of the biomass boiler. The working status includes mismatch and matching. The mismatch execution module is used to adjust the mass flow rate of biomass fuel when a biomass boiler is mismatched. The matching execution module is used to adjust the charging power of the energy storage battery when matching the biomass boiler.

2. The green, low-carbon source-grid-load-storage system according to claim 1, characterized in that, Infrared images of biomass boilers are acquired using infrared cameras, including: The optical axis of the infrared camera has a downward tilt angle of 30° to 35° relative to the grate plane of the biomass boiler; and the optical axis of the infrared camera has a lateral tilt angle of 10° to 20° relative to the longitudinal centerline of the grate of the biomass boiler, and is oriented towards the water-cooled wall; the field of view of the infrared camera covers the full width of the high-temperature zone of the grate of the biomass boiler and the area relative to the water-cooled wall.

3. A green, low-carbon source-grid-load-storage system according to claim 2, characterized in that, Feature data is extracted from infrared images, including: Infrared images are isothermally segmented according to a preset grate combustion temperature threshold to form candidate high-temperature pixel regions. A sliding window at an angle of 30° to 35° to the grate direction is used, with the grate pitch as the sliding interval, to continuously scan the candidate high-temperature pixel regions. High-temperature stripes with widths matching the grate pitch and remaining continuous within the sliding window are identified, and the area covered by these continuous high-temperature stripes is denoted as the oblique grate high-temperature zone. The difference between the highest temperature within the oblique grate high-temperature zone and the average temperature of the cold zone in the water-cooled wall region is denoted as the temperature difference. The Euclidean distance between the geometric center of the oblique grate high-temperature zone and the center of the cold zone in the water-cooled wall region is calculated and denoted as the center offset. The extension direction of the continuous high-temperature stripes is determined, and the width of the oblique grate high-temperature zone perpendicular to the extension direction is measured and denoted as the high-temperature zone width.

4. A green, low-carbon source-grid-load-storage system according to claim 3, characterized in that, The process of obtaining the average temperature of the cold zone and the center of the cold zone in the water-cooled wall region includes: A two-dimensional grid is superimposed on the infrared image to divide it into a grid cell matrix. The grid side length is equal to the pipe pitch of the water-cooled wall region, the row lines of the two-dimensional grid are parallel to the pipes of the water-cooled wall region, and the column lines are parallel to the support beams of the water-cooled wall region. The average temperature of each grid cell in the grid cell matrix is ​​measured and calculated, and the grid cells are sorted from smallest to largest based on the average temperature to form a grid cell sequence. Grid cells of a preset proportion are marked from front to back in the grid cell sequence, and the largest number of cell clusters among the marked grid cells are queried in the grid cell matrix. The area covered by the largest number of cell clusters is taken as the cold zone of the water-cooled wall region. The average of the average temperatures of all grid cells in the cold zone of the water-cooled wall region is calculated to obtain the average temperature of the cold zone of the water-cooled wall region. The centroid coordinates of the cold zone of the water-cooled wall region are taken as the center of the cold zone of the water-cooled wall region.

5. A green, low-carbon source-grid-load-storage system according to claim 3, characterized in that, The balance index is calculated based on the characteristic data, including: The ratio of the temperature difference to the preset temperature difference benchmark value is used as the temperature difference proportionality coefficient; The ratio of the center offset to the width of the high-temperature zone is used as the offset ratio coefficient; The equilibrium index is obtained by multiplying the temperature difference proportionality coefficient and the offset proportionality coefficient.

6. A green, low-carbon source-grid-load-storage system according to claim 5, characterized in that, The balance index is compared with a preset balance threshold to mark the operating status of the biomass boiler, including: If the balance index is greater than or equal to the preset balance threshold, the working state of the biomass boiler is marked as mismatched. If the balance index is less than the preset balance threshold, the working status of the biomass boiler is marked as matched.

7. A green, low-carbon source-grid-load-storage system according to claim 6, characterized in that, When a biomass boiler is mismatched, adjust the mass flow rate of the biomass fuel, including: The difference between the balance index and the preset balance threshold is used as the mismatch deviation coefficient. Based on the mismatch deviation coefficient and the current biomass fuel mass flow rate, the updated biomass fuel mass flow rate is generated as follows: G=N1+kΦ Where G represents the mass flow rate of the updated biomass fuel, k represents the mismatch weighting coefficient, N1 represents the mass flow rate of the biomass fuel at the current moment, and Φ represents the mismatch deviation coefficient.

8. A green, low-carbon source-grid-load-storage system according to claim 6, characterized in that, When matching a biomass boiler, adjust the charging power of the energy storage battery, including: The charge difference coefficient is calculated based on the current state of charge and the prior upper limit of charge, as follows: Among them, K SOC SOC represents the load factor. max SPC represents the prior upper limit of charge. curr This indicates the current state of charge. The ratio of the current photovoltaic surplus power to the maximum charging power of the energy storage battery is used as the surplus power coefficient; the minimum value among the product of the load factor, surplus power coefficient, preset charging gain and the maximum charging power of the energy storage battery, and the maximum charging power of the energy storage battery is used as the target charging power. Determine the difference between the target charging power and the current charging power. If the difference is less than the preset maximum power change rate, apply the difference to the current charging power to generate an updated energy storage battery charging power; otherwise, apply the preset maximum power change rate to the current charging power to generate an updated energy storage battery charging power.

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