A deep peak shaving working condition coordinated control system and method for a thermal power unit

Abstract

The application discloses a kind of thermal power unit deep peak shaving operating condition coordinated control system and method, it is related to thermal power unit peak shaving control technical field, the method includes the following steps: collection subordinate thermal power unit information, including normal load power, low load power, specification parameter, use time length, according to subordinate thermal power unit actual situation calculation low load operation time length;According to the normal load power of subordinate thermal power unit, low load power, with normal load and low load power difference value, combined with power generation capacity adjustment value under peak shaving operating condition, to subordinate thermal power unit is dynamically grouped;Combined with the low load operation time length of thermal power unit in the range of group-adjustable power generation capacity of subordinate thermal power unit grouping and dynamic grouping.The application can flexibly adjust coordinated control peak shaving strategy according to different peak shaving demand and unit state by dynamic grouping of subordinate thermal power unit and thermal power unit under each dynamic grouping in turn control.

Description

Technical Field

[0001] This invention relates to the field of peak-shaving control technology for thermal power units, and more specifically, to a coordinated control system and method for deep peak-shaving operation of thermal power units. Background Technology

[0002] Deep peak shaving operation mode of thermal power units refers to the operating condition of thermal power units when they undertake peak shaving tasks in the power system, and the units operate under a low load condition. It means that thermal power units operate below their rated load to adapt to the fluctuation of grid load.

[0003] However, operating thermal power units under low load conditions can lead to unstable boiler combustion, accelerated equipment wear, and increased environmental pollution. Existing peak-shaving coordination control systems for thermal power units do not fully consider the differences in characteristics of different thermal power units and often use a one-size-fits-all standard to control peak shaving for all units. However, the initial emissions and initial wear of different thermal power units are different, which can easily affect the units and the environment during peak shaving, resulting in low practicality. Furthermore, there is a lack of a mechanism for flexible combination and allocation based on the real-time status and capacity of thermal power units, which makes it impossible to reasonably allocate the workload of each unit, resulting in low functionality.

[0004] There are currently no effective solutions to the problems in the relevant technologies. Summary of the Invention

[0005] In response to the problems in related technologies, this invention proposes a coordinated control system and method for deep peak shaving operation of thermal power units, so as to overcome the above-mentioned technical problems existing in the existing related technologies.

[0006] Therefore, the specific technical solution adopted by the present invention is as follows:

[0007] A method for coordinated control of thermal power units under deep peak-shaving conditions, the method comprising the following steps:

[0008] S1. Collect information on subordinate thermal power units, including normal load power generation, low load power generation, specifications, and usage duration, and calculate the low load operating duration based on the actual situation of the subordinate thermal power units.

[0009] S2. Based on the normal load power generation and low load power generation of the subordinate thermal power units, and using the difference between normal load and low load power generation, combined with the power generation adjustment value under peak shaving conditions, the subordinate thermal power units are dynamically grouped.

[0010] S3. Based on the adjustable power generation range of the subordinate thermal power units and the low-load operating time of the thermal power units in the dynamic group, coordinate and control the operation of the thermal power units in different groups.

[0011] In a preferred embodiment, S1 includes the following steps:

[0012] S11. Establish a database of thermal power units at the site using MySQL, collect basic information on the thermal power units under the site, and create a file for each thermal power unit. The file information includes the current normal load power generation, low load power generation, specifications, usage time, and number of the thermal power unit.

[0013] S12. Collect historical data on the pollutant emissions and equipment wear of thermal power units during low-load operation with different specifications and usage durations. Based on the pollutant emission threshold and equipment wear threshold, determine the theoretical low-load operating time of the subordinate thermal power units according to their usage duration and specifications, and record it in the relevant thermal power unit files.

[0014] As a preferred implementation, S121, during the low-load operation of thermal power units with different specifications and usage durations in history, the pollutant emissions and equipment wear of the thermal power units over time are collected, and a pollutant emission prediction model and an equipment wear prediction model are established. The algorithm formula is as follows:

[0015] E = k E ×t+b E ;

[0016] W = k W ×t+b W ;

[0017] Where E and W represent pollutant emissions and equipment wear, respectively, t represents the low-load operating time of the thermal power unit, and k E k W b E b W These represent the emission factor, wear factor, initial emission amount, and initial wear amount, respectively.

[0018] S122. Based on the historical data collected on the low-load operation of thermal power units with different specifications and usage durations, the pollutant emissions and equipment wear of the thermal power units over time are divided into three stages, and k is determined through regression analysis. E k W ;

[0019] S123. Divide the files in the thermal power unit database according to the usage duration stage, and substitute the corresponding emission coefficient, wear coefficient, and the initial emission and initial wear of different thermal power units, combined with the pollutant emission threshold E. θ and equipment wear threshold W θ The theoretical low-load operating time of different thermal power units under its jurisdiction is calculated using the following algorithm:

[0020]

[0021] in, These represent the initial emissions and initial wear of the thermal power unit numbered i, respectively. These represent the emission coefficient and wear coefficient for thermal power unit numbered i under the corresponding service duration. The theoretical low-load operating time of thermal power unit numbered i, based on pollutant emission limits. The theoretical low-load operating time of thermal power unit numbered i, based on equipment wear limitations;

[0022] S124, Take and The smaller value in the middle is used as the theoretical low-load operating time of the thermal power unit currently numbered i.

[0023]

[0024] The theoretical low-load runtime for the corresponding number It is recorded in the corresponding thermal power unit file.

[0025] In a preferred embodiment, S2 includes the following steps:

[0026] S21. Based on the normal load power generation and low load power generation of the thermal power units in the archives of the subordinate thermal power units, calculate the power generation difference of different thermal power units. The algorithm formula is as follows:

[0027]

[0028] Wherein, ΔP i This represents the power generation difference of the thermal power unit numbered i. These represent the normal load power generation and low load power generation of the thermal power unit numbered i, respectively.

[0029] S22, Combining the power generation adjustment amount P under each peak-shaving condition 调整 and the ΔP of different thermal power units under its jurisdiction i The subordinate thermal power units are dynamically grouped, and the power generation adjustment amount P is adjusted accordingly. 调整 They were divided into different parts and assigned to different groups.

[0030] In a preferred embodiment, S22 includes the following steps:

[0031] S221. Create an empty set of groups G = {G1, G2, ..., G...} n}, where n is the number of groups, and initially each group G jFor an empty unit, adjust the power generation amount P. 调整 Divide the data into n equal parts to obtain the adjustment value λ for each group:

[0032]

[0033] S222, For subordinate thermal power units based on ΔP i Sort the devices in descending order and randomly select m devices for pairing, such that ΔP1 + ΔP2 + ... + ΔP m =δ, setting the tolerance When λ-δ≤ε, it means that m devices have been paired. Any even multiple of paired devices are then grouped into G. j In this context, each group is treated as a separate group until the set of groups is G = {G1, G2, ..., G...}. n The page is now filled in.

[0034] In a preferred embodiment, step S3 includes the following sub-steps:

[0035] S31. Based on the grouped set G = {G1, G2, ..., G...} n The thermal power unit equipment in the group is analyzed, and the low-load operating time of the subordinate thermal power unit files is statistically recorded. For each group G... j The total number of pairs Y j Divide the groups equally to obtain paired groups:

[0036]

[0037] S32, Based on paired groups The low-load operating time of thermal power units in the group G j The operation of thermal power units in the region is coordinated, controlled, and adjusted.

[0038] In a preferred embodiment, step S32 includes the following sub-steps:

[0039] S321, Pairing groups Theoretical low-load operating time of thermal power units Sort them in descending order, and select the theoretical low-load running time at the top of the list as the pairing group. off-peak running time

[0040] S322, For each group G j In the pairing group Preferred Low-load operation of thermal power units Time, while ensuring The thermal power units in the middle are operating at normal power, when After the time is up, Low-load operation of thermal power units Time, while maintaining The thermal power units in the middle operate at normal load, and this cycle continues until the peak shaving is over.

[0041] A coordinated control system for deep peak-shaving conditions in thermal power units includes a data collection module, a low-load operating time calculation module, and a group control coordination module.

[0042] The data collection module collects information on subordinate thermal power units, including normal load power generation, low load power generation, specifications, and usage duration. It establishes a site thermal power unit database through MySQL, collects basic information on the subordinate thermal power units, and creates a file for each thermal power unit. The file information includes the current thermal power unit's normal load power generation, low load power generation, specifications, usage duration, and number.

[0043] The low-load operation time calculation module collects the pollutant emissions and equipment wear of thermal power units with different specifications and usage durations during low-load operation over time. Based on the pollutant emission threshold and equipment wear threshold, and according to the usage duration and specifications of the subordinate thermal power units, it determines the theoretical low-load operation time of the subordinate thermal power units and records it in the relevant thermal power unit files.

[0044] The group control and coordination module dynamically groups the subordinate thermal power units based on the normal load power generation and low load power generation of the subordinate thermal power units, using the difference between normal load and low load power generation and the power generation adjustment value under peak shaving conditions. Based on the low load operating time of the thermal power units in the dynamic group, the module performs turn-by-turn operation control of the thermal power units in different groups until peak shaving is completed.

[0045] The beneficial effects of this invention are as follows:

[0046] 1. This invention calculates the theoretical low-load operating time of each subordinate thermal power unit by combining the actual equipment parameters and usage time of the subordinate thermal power units. Combined with the power generation adjustment amount of each peak shaving task, the subordinate equipment is dynamically grouped and paired. Based on the minimum theoretical low-load operating time of each pair in each group, the pairings in the group are controlled in turn to meet the peak shaving demand. By managing the low-load operating time, the operating time of equipment under non-optimal conditions is reduced, and wear and failure rate are reduced.

[0047] 2. This invention selects the smaller value between the theoretical low-load operating time of pollutant emission limits and the theoretical low-load operating time of equipment wear limits as the theoretical low-load operating time of the current thermal power unit. It considers that the theoretical low-load operating time of different thermal power units is affected by their own initial emissions and initial wear, ensuring that the operation of thermal power units during peak shaving complies with relevant regulations, avoiding irreversible impacts on thermal power units, and making the calculation of theoretical low-load operating time more in line with the actual situation of each unit, avoiding the application of a one-size-fits-all standard to all thermal power units.

[0048] 3. This invention can continuously and stably meet peak-shaving requirements by implementing a load alternation and cyclic operation mode for subordinate thermal power units, giving full play to the operating capacity of different units, avoiding units operating at low load for a long time, and the dynamic grouping and pairing enables the selection of the most suitable combination of thermal power units to perform peak-shaving tasks based on the current status and capacity of the thermal power units, thereby improving the operating efficiency of the entire unit group and rationally allocating the workload of each unit.

[0049] 4. This invention enables the method to dynamically group subordinate thermal power units and control them in turn under each dynamic grouping. This allows the method to flexibly adjust the coordinated control strategy according to different peak-shaving needs and unit status, effectively manage the operating status of subordinate thermal power units, and ensure the stability of the power grid during peak-shaving periods. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 This is a flowchart of a coordinated control method for deep peak shaving operation of a thermal power unit according to an embodiment of the present invention;

[0052] Figure 2 This is a block diagram of a coordinated control system for deep peak shaving conditions of a thermal power unit according to an embodiment of the present invention. Detailed Implementation

[0053] To further illustrate the various embodiments, the present invention provides accompanying drawings, which are part of the disclosure of the present invention. These drawings are mainly used to illustrate the embodiments and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. With reference to these drawings, those skilled in the art should be able to understand other possible implementation methods and the advantages of the present invention. The components in the drawings are not drawn to scale, and similar component symbols are generally used to represent similar components.

[0054] According to an embodiment of the present invention, a coordinated control system and method for deep peak shaving operation of thermal power units are provided.

[0055] The present invention will now be further described in conjunction with the accompanying drawings and specific embodiments:

[0056] Example 1:

[0057] like Figure 1 As shown, according to an embodiment of the present invention, a coordinated control method for deep peak-shaving operation of a thermal power unit includes the following steps:

[0058] S1. Collect information on subordinate thermal power units, including normal load power generation, low load power generation, specifications, and usage duration, and calculate the low load operating duration based on the actual situation of the subordinate thermal power units.

[0059] S11. Establish a database of thermal power units at the site using MySQL, collect basic information on the thermal power units under the site, and create a file for each thermal power unit. The file information includes the current normal load power generation, low load power generation, specifications, usage time, and number of the thermal power unit.

[0060] It should be noted that the normal load power generation of a thermal power unit is the power generation of the current thermal power unit under the designed normal load conditions, and the low load power generation is the power generation of the current thermal power unit under the lowest load operation under peak shaving conditions. The specifications of a thermal power unit include rated power, thermal efficiency, minimum stable load, etc., which can be obtained from the manufacturer's manual of the thermal power unit. The usage time is the total time that the current thermal power unit has been running, in hours.

[0061] S12. Collect historical data on the pollutant emissions and equipment wear of thermal power units during low-load operation with different specifications and usage durations. Based on the pollutant emission threshold and equipment wear threshold, determine the theoretical low-load operating time of the subordinate thermal power units according to their usage duration and specifications, and record it in the relevant thermal power unit files.

[0062] S121. Collect historical data on pollutant emissions and equipment wear of thermal power units during low-load operation with different specifications and usage durations. Establish pollutant emission prediction models and equipment wear prediction models. The algorithm formulas are as follows:

[0063] E = k E ×t+b E ;

[0064] W = k W ×t+b W ;

[0065] Where E and W represent pollutant emissions and equipment wear, respectively, t represents the low-load operating time of the thermal power unit, and k E k W b E b W These represent the emission factor, wear factor, initial emission amount, and initial wear amount, respectively.

[0066] It should be noted that the initial emissions and initial wear of thermal power units need to be determined based on the actual parameters of different thermal power units. The existing wear of the thermal power unit is used as the initial wear. The initial emissions of the thermal power unit are obtained by continuously collecting the baseline emissions of the thermal power unit several times and averaging them.

[0067] S122. Based on the historical data collected on the low-load operation of thermal power units with different specifications and usage durations, the pollutant emissions and equipment wear of the thermal power units over time are divided into three stages, and k is determined through regression analysis. E k W ;

[0068] It should be noted that, based on the expected service life in the manuals of different thermal power units, combined with the full life cycle characteristics of thermal power units and empirical data, the service life of thermal power units of different specifications is divided into three stages, including the first stage where the service life is 0-1 / 3 of the expected service life, during which the equipment performance is stable and wear is relatively small.

[0069] The second stage, from 1 / 3 to 2 / 3 of the expected service life, marks the beginning of wear and tear and performance changes in the unit.

[0070] More than two-thirds of the expected service life is in the third stage, with obvious aging of the unit, accelerated equipment wear, and decreased performance.

[0071] S123. Divide the files in the thermal power unit database according to the usage duration stage, and substitute the corresponding emission coefficient, wear coefficient, and the initial emission and initial wear of different thermal power units, combined with the pollutant emission threshold E. θ and equipment wear threshold W θ The theoretical low-load operating time of different thermal power units under its jurisdiction is calculated using the following algorithm:

[0072]

[0073] in, These represent the initial emissions and initial wear of the thermal power unit numbered i, respectively. These represent the emission coefficient and wear coefficient for thermal power unit numbered i under the corresponding service duration. The theoretical low-load operating time of thermal power unit numbered i, based on pollutant emission limits. The theoretical low-load operating time of thermal power unit numbered i, based on equipment wear limitations;

[0074] It should be noted that the pollutant emission threshold E θ The equipment wear threshold W needs to be set according to the policy requirements of different regions. θ The settings need to be based on the parameters and specifications of different models of thermal power units, and can be set by consulting experts in the relevant fields based on experience.

[0075] S124, Take and The smaller value in the middle is used as the theoretical low-load operating time of the thermal power unit currently numbered i.

[0076]

[0077] The theoretical low-load runtime for the corresponding number It is recorded in the corresponding thermal power unit file.

[0078] It should be noted that by selecting and The smaller value in the formula is taken as the theoretical low-load operating time of the thermal power unit currently numbered i. It can take into account that the theoretical low-load operating time of different thermal power units is affected by their own initial emissions and initial wear. This ensures that the operation of thermal power units during peak shaving complies with relevant regulations, avoids irreversible impacts on thermal power units, and makes the calculation of theoretical low-load operating time more in line with the actual situation of each unit. It avoids using a one-size-fits-all standard for all units. The theoretical low-load operating time is recalculated every 6 months to ensure the timeliness of the theoretical low-load operating time of thermal power units.

[0079] Example 2:

[0080] S2. Based on the normal load power generation and low load power generation of the subordinate thermal power units, and using the difference between normal load and low load power generation, combined with the power generation adjustment value under peak shaving conditions, the subordinate thermal power units are dynamically grouped.

[0081] S21. Based on the normal load power generation and low load power generation of the thermal power units in the archives of the subordinate thermal power units, calculate the power generation difference of different thermal power units. The algorithm formula is as follows:

[0082]

[0083] Wherein, ΔP i This represents the power generation difference of the thermal power unit numbered i. These represent the normal load power generation and low load power generation of the thermal power unit numbered i, respectively.

[0084] S22, Combining the power generation adjustment amount P under each peak-shaving condition 调整 and the ΔP of different thermal power units under its jurisdiction i The subordinate thermal power units are dynamically grouped, and the power generation adjustment amount P is adjusted accordingly. 调整 Divide into different parts and assign them to different groups;

[0085] S221. Create an empty set of groups G = {G1, G2, ..., G...} n}, where n is the number of groups, and initially each group G j For an empty unit, adjust the power generation amount P. 调整 Divide the data into n equal parts to obtain the adjustment value λ for each group:

[0086]

[0087] S222, For subordinate thermal power units based on ΔP i Sort the devices in descending order and randomly select m devices for pairing, such that ΔP1 + ΔP2 + ... + ΔP m =δ, setting the tolerance When λ-δ≤ε, it means that m devices have been paired. Any even multiple of paired devices are then grouped into G. j In this context, each group is treated as a separate group until the set of groups is G = {G1, G2, ..., G...}. n The page is now filled in.

[0088] It should be noted that, The value is usually set to 0.05, but it can be adjusted according to the actual situation by grouping even-numbered pairs into the same G. j This allows for convenient subsequent peak-shaving adjustments, preventing subordinate thermal power units from operating at consistently low loads, which could lead to abnormal equipment wear or abnormal pollutant emissions. Adjustments can be made based on actual conditions. The value is used to adjust the tolerance, providing greater flexibility in the grouping process;

[0089] S3. Combine the adjustable power generation range of the subordinate thermal power units and the low-load operating time of the thermal power units in the dynamic group to coordinate and control the operation of the thermal power units in different groups.

[0090] S31. Based on the grouped set G = {G1, G2, ..., G...} n The thermal power unit equipment in the group is analyzed, and the low-load operating time of the subordinate thermal power unit files is statistically recorded. For each group G... j The total number of pairs Y jDivide the groups equally to obtain paired groups:

[0091]

[0092] S32, Based on paired groups The low-load operating time of thermal power units in the group G j Coordinate and adjust the operation of thermal power units in the project;

[0093] S321, Pairing groups Theoretical low-load operating time of thermal power units Sort them in descending order, and select the theoretical low-load running time at the top of the list as the pairing group. off-peak running time

[0094] S322, For each group G j In the pairing group Preferred Low-load operation of thermal power units Time, while ensuring The thermal power units in the middle are operating at normal power, when After the time is up, Low-load operation of thermal power units Time, while maintaining The thermal power units in the middle operate at normal load, and this cycle continues until the peak shaving is over.

[0095] It should be noted that, through the prescribed alternating cyclical operation mode, that is, first let... The thermal power units in the middle are operating at low load, while The units operate at normal power before switching, which can continuously and stably meet peak demand, give full play to the operating capacity of different units, avoid the units operating at low load for a long time, reduce excessive wear and fatigue of equipment, and extend the service life of equipment.

[0096] Example 3:

[0097] like Figure 2 As shown, a coordinated control system for deep peak-shaving conditions of thermal power units includes a data collection module, a low-load operating time calculation module, and a group control coordination module.

[0098] The data collection module collects information on subordinate thermal power units, including normal load power generation, low load power generation, specifications, and usage duration. It establishes a site thermal power unit database through MySQL, collects basic information on the subordinate thermal power units, and creates a file for each thermal power unit. The file information includes the current thermal power unit's normal load power generation, low load power generation, specifications, usage duration, and number.

[0099] The low-load operation time calculation module collects historical data on the pollutant emissions and equipment wear of thermal power units with different specifications and usage durations during low-load operation. Based on the pollutant emission threshold and equipment wear threshold, and according to the usage duration and specifications of the subordinate thermal power units, it determines the theoretical low-load operation time of the subordinate thermal power units and records it in the relevant thermal power unit files.

[0100] The group control and coordination module dynamically groups the subordinate thermal power units based on their normal load power generation and low load power generation, using the difference between normal and low load power generation and the power generation adjustment value under peak shaving conditions. Then, based on the low load operating duration of the thermal power units within each dynamic group, it performs rotational operation control on the thermal power units in different groups until peak shaving is completed.

[0101] In summary, this invention calculates the theoretical low-load operating time of each subordinate thermal power unit by combining the actual equipment parameters and usage time of the subordinate thermal power units. It then dynamically groups and pairs the subordinate equipment based on the power generation adjustment amount for each peak-shaving task. Based on the lowest theoretical low-load operating time of each pair within each group, the pairs within the group are controlled sequentially to meet peak-shaving requirements. By managing the low-load operating time, the operating time of equipment under suboptimal conditions is reduced, thus lowering wear and failure rates. The invention selects the smaller value between the theoretical low-load operating time limited by pollutant emissions and the theoretical low-load operating time limited by equipment wear as the current theoretical low-load operating time of the thermal power unit. It considers that the theoretical low-load operating time of different thermal power units is affected by their own initial emissions and initial wear, ensuring that the operation of thermal power units during peak-shaving complies with relevant regulations and avoiding irreversible impacts on the units. This allows the calculation of the theoretical low-load operating time to better reflect the actual situation of each unit, avoiding a one-size-fits-all standard for all thermal power units.

[0102] By implementing a load alternation and cyclic operation mode for the subordinate thermal power units, peak shaving demand can be met continuously and stably, the operating capacity of different units can be fully utilized, and the units can be prevented from operating at low load for a long time. Dynamic grouping and pairing allows the most suitable combination of thermal power units to perform peak shaving tasks based on the current status and capacity of the units, thereby improving the operating efficiency of the entire unit group and rationally allocating the workload of each unit.

[0103] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for coordinated control of deep load modulation operation of a thermal power unit, characterized in that, The method comprises the following steps: S1, collecting information of the subordinate thermal power generating units, including normal load power, low load power, specification parameters, and service time, and calculating the low load operation time according to the actual conditions of the subordinate thermal power generating units; S11, establishing a thermal power generating unit database of the site through MySQL, collecting basic information of the subordinate thermal power generating units of the site, and establishing a file for each thermal power generating unit, wherein the file information includes the current normal load power, low load power, specification parameters, service time, and number of the thermal power generating unit; S12, collecting the pollutant emission amount and equipment wear amount of the thermal power generating unit over time during the low load operation of the thermal power generating units with different specification parameters and service time, determining the theoretical low load operation time of the subordinate thermal power generating units based on the pollutant emission threshold and equipment wear threshold, and according to the service time and specification parameters of the subordinate thermal power generating units, and recording in the related thermal power generating unit file; S121, collecting the pollutant emission amount and equipment wear amount of the thermal power generating unit over time during the low load operation of the thermal power generating units with different specification parameters and service time, and establishing a pollutant emission prediction model and an equipment wear prediction model, wherein the algorithm formula is: E = k E x t + b E ; W = k W x t + b W ; Wherein, E, W represent pollutant emission and equipment wear respectively, t represents low load operation time of the thermal power unit, k E , k W , b E , b W represent emission coefficient, wear coefficient and initial emission, initial wear respectively. S122, according to the collection history of different specifications, the use of long time of thermal power unit in low load operation process, the pollutant emission of thermal power unit with time and the equipment wear, the use time of thermal power unit is divided into three stages, and k is determined by regression analysis E , k W ; S123, dividing the archives in the thermal power unit database based on the usage length stage, and substituting the corresponding emission coefficient, wear coefficient, and initial emission amount and initial wear amount of different thermal power units, combined with the pollutant emission threshold E θ and the equipment wear threshold W θ , to obtain the theoretical low-load running time of different thermal power units under jurisdiction, and the algorithm formula is: wherein, respectively represent the initial emission amount and the initial wear amount of the thermal power generating unit numbered i, respectively represent the emission coefficient and the wear coefficient of the thermal power generating unit numbered i corresponding to the use time length, represent the theoretical low-load operation time length of the thermal power generating unit numbered i based on the pollutant emission limit, represent the theoretical low-load operation time length of the thermal power generating unit numbered i based on the equipment wear limit; S124、take and the small value in the formula (5) as the theoretical low-load running duration of the thermal power generating unit currently numbered i the corresponding number of theoretical low-load running time recorded in the corresponding thermal power unit file; S2, grouping the subordinate thermal power generating units dynamically according to the normal load power and low load power, and the difference between the normal load power and the low load power, and the power generation adjustment value under the peak shaving working condition; S3, coordinating and controlling the operation of the thermal power generating units in different groups according to the low load operation time of the thermal power generating units in the dynamic grouping and the adjustable power range of the grouped thermal power generating units.

2. The method according to claim 1, characterized in that, The S2 comprises the following steps: S21, calculating the power generation difference of different thermal power generating units based on the normal load power and low load power of the thermal power generating units in the file of the subordinate thermal power generating units, and the algorithm formula is: wherein, ΔP i represents the difference of the power generation of the thermal power unit numbered i, respectively represents the normal load power generation and the low load power generation of the thermal power unit numbered i; S22, combine the power generation adjustment amount P under each peak regulation condition 调整 and ΔP of different thermal power units under jurisdiction i , dynamically group the thermal power units under jurisdiction, and divide the power generation adjustment amount P 调整 into different parts and distribute them to different groups.

3. The method according to claim 2, characterized in that, The S22 comprises the following steps: S221, create empty group set G = {G1, G2,..., Gn}, where n is the number of groups, and each group G is empty at the beginning. n S222, divide the power generation adjustment amount P j into n equal parts, and obtain the adjustment value λ of each group. 调整 ​ S222, For subordinate thermal power units based on ΔP i Sort the devices in descending order and randomly select m devices for pairing, such that ΔP1 + ΔP2 + ... + ΔP m =δ, setting the tolerance When |λ-δ|≤ε, it means that m devices have been paired. Any even multiple of paired devices are then grouped into G. j In this context, each group is treated as a separate group until the set of groups is G = {G1, G2, ..., G...}. n The page is now filled in.

4. The method according to claim 3, characterized in that, The S3 comprises the following sub-steps: S31, according to the thermal power generating unit equipment in the group set G = {G1, G2, …, G n}, the low load running time in the subordinate thermal power generating unit file is counted, and the pair number Y j in each group G j is evenly divided to obtain a pair group: S32、based on the pairing group of the length of low load operation of the thermal power unit in the pairing group G j adjustment of the coordinated control of the operation of the thermal power unit in the pairing group G 5. The method according to claim 4, characterized in that, The S32 comprises the following sub-steps: S321、selecting, as the peak-shaving running duration of the pairing group, the theoretically low-load running duration at the first position in the descending sequence of the pairing group ​​​ S322, For each group G j In the pairing group Preferred Low-load operation of thermal power units Time, while ensuring The thermal power units in the middle are operating at normal power, when After the time is up, Low-load operation of thermal power units Time, while maintaining The thermal power units in the middle operate at normal load, and this cycle continues until the peak shaving is over.

6. A coordinated control system for deep load modulation operation of a thermal power unit, characterized in that, The system adopts the thermal power generating unit deep peak shaving working condition coordination control method according to any one of claims 1-5, and comprises a data collection module, a low load operation time calculation module, and a grouping control coordination module. The data collection module collects information of the subordinate thermal power generating units, including normal load power, low load power, specification parameters, and service time, establishes a thermal power generating unit database of the site through MySQL, collects basic information of the subordinate thermal power generating units of the site, and establishes a file for each thermal power generating unit, wherein the file information includes the current normal load power, low load power, specification parameters, service time, and number of the thermal power generating unit; The low load operation time calculation module collects the pollutant emission amount and equipment wear amount of the thermal power generating unit over time during the low load operation of the thermal power generating units with different specification parameters and service time, determines the theoretical low load operation time of the subordinate thermal power generating units based on the pollutant emission threshold and equipment wear threshold, and according to the service time and specification parameters of the subordinate thermal power generating units, and records in the related thermal power generating unit file; The group control coordination module dynamically groups the subordinate thermal power generating units according to normal load power generation, low load power generation, a difference between the normal load power generation and the low load power generation, and a power generation adjustment value in a peak regulation condition, and controls the thermal power generating units in different groups to run in turns according to a low load running time of the thermal power generating units in the dynamic groups until the peak regulation is completed.

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