Thermal power generating unit deep peak regulation working condition coordination control system and method

Abstract

The invention discloses a thermal power generating unit deep peak regulation working condition coordination control system and method, and relates to the technical field of thermal power generating unit peak regulation control, and the method comprises the following steps: collecting the information of a subordinate thermal power generating unit, including normal load generation power, low load generation power, specification parameters and use duration; calculating the low-load operation duration according to the actual condition of the jurisdiction thermal power generating unit; according to the normal load generation power and the low load generation power of the subordinate thermal power generating units, dynamically grouping the subordinate thermal power generating units by combining the difference value of the normal load generation power and the low load generation power with the generating capacity adjustment value under the peak regulation working condition; and combining the grouping adjustable generation power range of the subordinate thermal power generating units and the low-load operation duration of the thermal power generating units in the dynamic group. According to the method, the governed thermal power generating units are dynamically grouped, and the thermal power generating units under each dynamic grouping are controlled in turn, so that the peak regulation strategy can be flexibly adjusted, coordinated and controlled according to different peak regulation requirements and unit states.

Description

Technical Field

[0001] The present invention relates to the technical field of peak load regulation control of thermal power units, and in particular to a coordinated control system and method for deep peak load regulation of thermal power units. Background Art

[0002] The deep peak load regulation condition of thermal power units refers to the condition in which the thermal power plant operates at a lower load when it undertakes the peak load regulation task in the power system. It means that the thermal power unit operates at a load lower than its rated load to adapt to the fluctuation of the power grid load.

[0003] However, when thermal power units are operated under low load, it will lead to unstable boiler combustion and increased equipment wear, and may also increase environmental pollution. The existing peak-shaving coordination and control system of thermal power units does not fully take into account the differences in the characteristics of different thermal power units, and often adopts a one-size-fits-all standard to treat all units for peak-shaving control. However, the initial emissions and initial wear of different thermal power units are different, which can easily affect the units and the environment during the peak-shaving process, resulting in low practicality. In addition, there is a lack of a mechanism for flexible combination and deployment 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] Currently, no effective solution has been proposed for the problems in the related technologies. Summary of the invention

[0005] In view of the problems in the related art, the present invention proposes a coordinated control system and method for deep peak load regulation of thermal power units to overcome the above-mentioned technical problems existing in the existing related art.

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

[0007] A method for coordinated control of deep peak load conditions of a thermal power unit, the method comprising the following steps:

[0008] S1. Collect information on subordinate thermal power units, including normal load power generation, low load power generation, specification parameters, and usage time, and calculate low load operation time based on the actual situation of subordinate thermal power units;

[0009] S2. Dynamically group the subordinate thermal power units according to the normal load power generation and low load power generation of the subordinate thermal power units, the difference between the normal load and low load power generation, and the power generation adjustment value under the peak load condition;

[0010] S3. Coordinate and control the operation of thermal power units in different groups based on the adjustable power generation range of the subordinate thermal power units and the low-load operation time of the thermal power units in the dynamic groups.

[0011] As a preferred embodiment, the S1 comprises the following steps:

[0012] S11. Establish a thermal power unit database of the site through MySQL, collect basic information of the thermal power units under the site, and establish a file for each thermal power unit. The file information includes the normal load power generation, low load power generation, specification parameters, usage time, and number of the current thermal power unit;

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

[0014] As a preferred implementation, S121, collect the pollutant emissions and equipment wear of thermal power units over time during the low-load operation of thermal power units with different historical specifications and usage time, and establish a pollutant emission prediction model and an equipment wear prediction model, the algorithm formula of which is:

[0015] E=k E ×t+b E ;

[0016] W=k W ×t+b W ;

[0017] Among them, E and W represent pollutant emissions and equipment wear respectively, t represents the low-load operation time of the thermal power unit, and k E , k W 、b E 、b W They represent the emission coefficient, wear coefficient, initial emission and initial wear respectively;

[0018] S122. According to the historical data of different specifications and service life of thermal power units, the pollutant emissions and equipment wear of thermal power units over time during low-load operation, the service life of thermal power units is divided into three stages, and k is determined by regression analysis. E , k W ;

[0019] S123, divide the files in the thermal power unit database based on the use time stage, and substitute the corresponding emission coefficient, wear coefficient and initial emission and initial wear of different thermal power units, combined with the pollutant emission threshold E θ And the equipment wear threshold W θ , calculate the theoretical low-load operation time of different thermal power units under its jurisdiction, and the algorithm formula is:

[0020]

[0021] in, They represent the initial emission and initial wear of the thermal power unit numbered i, They represent the emission coefficient and wear coefficient of the thermal power unit numbered i under the corresponding service life, represents the theoretical low-load operation time of the thermal power unit numbered i based on the pollutant emission limit, The theoretical low-load operation time of the thermal power unit numbered i based on equipment wear limitation;

[0022] S124, take and The smaller value in is taken as the theoretical low-load operation time of the thermal power unit numbered i at present.

[0023]

[0024] The theoretical low-load running time of the corresponding number Recorded in the corresponding thermal power unit files.

[0025] As a preferred embodiment, S2 comprises the following steps:

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

[0027]

[0028] Where ΔP i Represents the power difference of the thermal power unit numbered i, They represent the normal load power generation and low load power generation of the thermal power unit numbered i respectively;

[0029] S22, combined with the power generation adjustment amount P under each peak load condition 调整 And the ΔP of different thermal power units under its jurisdiction i , dynamically group the subordinate thermal power units, and adjust the power generation amount P 调整 Divide into different parts and assign them to different groups.

[0030] As a preferred embodiment, the S22 comprises the following steps:

[0031] S221, create an empty grouping set G = {G 1 ,G 2 ,...,G n}, where n is the number of groups. Initially, each group G j For an empty group, the power generation adjustment amount P 调整 Divide it by n times to get the adjustment value λ for each group:

[0032]

[0033] S222, based on ΔP i Arrange in descending order and select m devices at random for pairing so that ΔP 1 +ΔP 2 +...+ΔP m =δ, setting tolerance When λ-δ≤ε, it means that m devices are paired. Any even number of paired devices are summarized into G j As a group, until the group set G = {G 1 ,G 2 ,...,G n}Filling completed.

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

[0035] S31, according to the grouping set G = {G 1 ,G 2 ,...,G n}, count the low-load operation time in the files of the thermal power units under its jurisdiction, and for each group G j The total number of pairs in Y j Divide equally to obtain paired groups:

[0036]

[0037] S32, based on paired groups The low-load operation time of the thermal power units in group G j Coordinated control and adjustment of the operation of thermal power units.

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

[0039] S321, Pairing Group Theoretical low-load operation time of thermal power units Arrange them in descending order, and select the theoretical low-load running time that ranks first as the pairing group. Peak-shifting operation duration

[0040] S322, for each group G j Pairing Groups in Priority Selection Low load operation of thermal power units Time, while ensuring The thermal power units in the After the time is up, Low load operation of thermal power units time, while maintaining The thermal power units in the system will operate at normal load, and this cycle will continue until the peak load regulation is completed.

[0041] A deep peak load regulation coordinated control system for thermal power units, including a data collection module, a low load operation time calculation module, and a group control coordination module:

[0042] The data collection module collects information about the subordinate thermal power units, including normal load power generation, low load power generation, specification parameters, and usage time, establishes a site thermal power unit database through MySQL, collects basic information about the thermal power units under the site, and establishes a file for each thermal power unit. The file information includes the normal load power generation, low load power generation, specification parameters, usage time, and number of the current thermal power unit;

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

[0044] The group control coordination module dynamically groups the subordinate thermal power units according to the normal load power generation power and low load power generation power of the subordinate thermal power units, the difference between the normal load and low load power generation power, and the power generation adjustment value under the peak load condition, and controls the thermal power units in different groups in turn according to the low load operation time of the thermal power units in the dynamic groups until the peak load is completed.

[0045] The beneficial effects of the present invention are:

[0046] 1. The present invention calculates the theoretical low-load operation time of each subordinate thermal power unit by combining the actual equipment parameters of the subordinate thermal power units with the usage time, and dynamically groups and pairs the subordinate equipment in combination with the power generation power adjustment amount of each peak-shaving task. Based on the lowest value of the theoretical low-load operation time of each pair in each group, the pairs in the group are controlled in turn to meet the peak-shaving demand. By managing the low-load operation time, the operation time of the equipment under non-optimal working conditions is reduced, and the wear and failure rate are reduced;

[0047] 2. The present invention selects the smaller value of the theoretical low-load operation time of the pollutant emission limit and the theoretical low-load operation time of the equipment wear limit as the theoretical low-load operation time of the current thermal power unit, taking into account that the theoretical low-load operation time of different thermal power units is affected by the initial emissions and initial wear of different thermal power units themselves, so as to ensure that the operation of the thermal power units during the peak load regulation process complies with relevant regulations, avoid irreversible effects on the thermal power units, and make the calculation of the theoretical low-load operation time more in line with the actual situation of each unit, avoiding the use of a one-size-fits-all standard for all thermal power units;

[0048] 3. The present invention can continuously and stably meet the peak load regulation demand by performing load alternating cycle operation on subordinate thermal power units, give full play to the operation capacity of different units, and avoid the units being in a low-load operation state for a long time. Dynamic grouping and pairing enables the most suitable combination of thermal power units to be selected to perform the peak load regulation task according to the current state and capacity of the thermal power units, thereby improving the operation efficiency of the entire unit group and reasonably distributing the workload of each unit;

[0049] 4. The present invention dynamically groups the subordinate thermal power units and controls the thermal power units in each dynamic grouping in turn, so that the method can flexibly adjust the coordination control strategy according to different peak-shaving demands and unit states, effectively manage the operating status of the subordinate thermal power units, and ensure the stability of the power grid during the peak-shaving period. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 This is a flow chart of a method for coordinated control of deep peak load conditions of a thermal power unit according to an embodiment of the present invention;

[0052] Figure 2 The present invention is a block diagram of a coordinated control system for deep peak load regulation of a thermal power unit according to an embodiment of the present invention. DETAILED DESCRIPTION

[0053] To further illustrate each embodiment, the present invention provides drawings, which are part of the disclosure of the present invention and 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 contents, ordinary technicians in the field should be able to understand other possible implementations and advantages of the present invention. The components in the figures 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 load regulation of a thermal power unit are provided.

[0055] The present invention is further described with reference to the accompanying drawings and specific embodiments:

[0056] Embodiment 1:

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

[0058] S1. Collect information on subordinate thermal power units, including normal load power generation, low load power generation, specification parameters, and usage time, and calculate low load operation time based on the actual situation of subordinate thermal power units;

[0059] S11. Establish a thermal power unit database of the site through MySQL, collect basic information of the thermal power units under the site, and establish a file for each thermal power unit. The file information includes the normal load power generation, low load power generation, specification parameters, usage time, and number of the current thermal power unit;

[0060] It should be noted that the normal load power generation capacity of the thermal power unit is the power generation capacity of the current thermal power unit under the designed normal load conditions, and the low load power generation capacity is the power generation capacity of the current thermal power unit when it is operating at the lowest load under peak load conditions. The specifications of the thermal power unit include rated power, thermal efficiency, minimum stable load, etc., which can be obtained based on the factory 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 over time during low-load operation of thermal power units with different specifications and usage time. Based on the pollutant emission threshold and equipment wear threshold, and according to the usage time and specification parameters of the subordinate thermal power units, determine the theoretical low-load operation time of the subordinate thermal power units, and record it in the archives of the relevant thermal power units;

[0062] S121. Collect the pollutant emissions and equipment wear of thermal power units over time during the low-load operation of thermal power units with different specifications and usage time, and establish a pollutant emission prediction model and an equipment wear prediction model. The algorithm formula is:

[0063] E=k E ×t+b E ;

[0064] W=k W ×t+b W ;

[0065] Among them, E and W represent pollutant emissions and equipment wear respectively, t represents the low-load operation time of the thermal power unit, and k E , k W 、b E 、b W They represent the emission coefficient, wear coefficient, initial emission and initial wear 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 units is taken as the initial wear. The initial emissions of the thermal power units are taken by continuously collecting several benchmark emissions of the thermal power units and averaging them.

[0067] S122. According to the historical data of different specifications and service life of thermal power units, the pollutant emissions and equipment wear of thermal power units over time during low-load operation, the service life of thermal power units is divided into three stages, and k is determined by 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, with stable equipment performance and less wear;

[0069] 1 / 3-2 / 3 of the expected service life is the second stage, and the unit begins to show a certain degree of wear and performance changes;

[0070] More than 2 / 3 of the expected service life is in the third stage, with obvious aging of the unit, increased equipment wear and tear, and reduced performance.

[0071] S123, divide the files in the thermal power unit database based on the use time stage, and substitute the corresponding emission coefficient, wear coefficient and initial emission and initial wear of different thermal power units, combined with the pollutant emission threshold E θ And the equipment wear threshold W θ , calculate the theoretical low-load operation time of different thermal power units under its jurisdiction, and the algorithm formula is:

[0072]

[0073] in, They represent the initial emission and initial wear of the thermal power unit numbered i, They represent the emission coefficient and wear coefficient of the thermal power unit numbered i under the corresponding service life, represents the theoretical low-load operation time of the thermal power unit numbered i based on the pollutant emission limit, The theoretical low-load operation time of the thermal power unit numbered i based on equipment wear limitation;

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

[0075] S124, take and The smaller value in is taken as the theoretical low-load operation time of the thermal power unit numbered i at present.

[0076]

[0077] The theoretical low-load running time of the corresponding number Recorded in the corresponding thermal power unit files.

[0078] It should be noted that by selecting and The smaller value in is taken as the theoretical low-load operation time of the thermal power unit currently numbered i. It can be considered that the theoretical low-load operation time of different thermal power units is affected by the initial emissions and initial wear of different thermal power units themselves, so as to ensure that the operation of thermal power units in the peak load regulation process complies with relevant regulations and avoid irreversible impact on thermal power units. It can make the calculation of theoretical low-load operation time more in line with the actual situation of each unit and avoid the one-size-fits-all standard for all units. The theoretical low-load operation time is recalculated every 6 months to ensure the timeliness of the theoretical low-load operation time of thermal power units.

[0079] Embodiment 2:

[0080] S2. Dynamically group the subordinate thermal power units according to the normal load power generation and low load power generation of the subordinate thermal power units, the difference between the normal load and low load power generation, and the power generation adjustment value under the peak load condition;

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

[0082]

[0083] Where ΔP i Represents the power difference of the thermal power unit numbered i, They represent the normal load power generation and low load power generation of the thermal power unit numbered i respectively;

[0084] S22, combined with the power generation adjustment amount P under each peak load condition 调整 And the ΔP of different thermal power units under its jurisdiction i , dynamically group the subordinate thermal power units, and adjust the power generation amount P 调整 Divide into different parts and assign to different groups;

[0085] S221, create an empty grouping set G = {G 1 ,G 2 ,...,G n}, where n is the number of groups. Initially, each group G j For an empty group, the power generation adjustment amount P 调整 Divide it by n times to get the adjustment value λ for each group:

[0086]

[0087] S222, based on ΔP i Arrange in descending order and select m devices at random for pairing so that ΔP 1 +ΔP 2 +...+ΔP m =δ, setting tolerance When λ-δ≤ε, it means that m devices are paired. Any even number of paired devices are summarized into G j As a group, until the group set G = {G 1 ,G 2 ,...,G n}Filling completed.

[0088] It should be noted that The value is usually set to 0.05, and can also be adjusted according to actual conditions. j In this way, it is convenient to carry out peak load regulation in the future to prevent the subordinate thermal power units from always operating at low load, causing abnormal equipment wear or abnormal pollutant emissions. The value of can be used to adjust the tolerance, providing greater flexibility for the grouping process;

[0089] S3. Coordinate and control the operation of thermal power units in different groups based on the adjustable power generation range of the subordinate thermal power units and the low-load operation time of the thermal power units in the dynamic groups;

[0090] S31, according to the grouping set G = {G 1 ,G2 ,...,G n}, count the low-load operation time in the files of the thermal power units under its jurisdiction, and for each group G j The total number of pairs in Y j Divide equally to obtain paired groups:

[0091]

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

[0093] S321, Pairing Group Theoretical low-load operation time of thermal power units Arrange them in descending order, and select the theoretical low-load running time that ranks first as the pairing group. Peak-shifting operation duration

[0094] S322, for each group G j Pairing Groups in Priority Selection Low load operation of thermal power units Time, while ensuring The thermal power units in the After the time is up, Low load operation of thermal power units time, while maintaining The thermal power units in the system will operate at normal load, and this cycle will continue until the peak load regulation is completed.

[0095] It should be noted that, through the prescribed alternating cycle operation mode, that is, first let The thermal power units in the The units in the system can operate at normal power and then switch, which can continuously and stably meet the peak-shaving demand, give full play to the operating capabilities of different units, avoid the units being in low-load operation for a long time, reduce excessive wear and fatigue of equipment, and extend the service life of equipment.

[0096] Embodiment 3:

[0097] like Figure 2 As shown, a deep peak load regulation coordinated control system for thermal power units includes a data collection module, a low load operation time calculation module, and a group control coordination module:

[0098] The data collection module collects information about the thermal power units under its jurisdiction, including normal load power generation, low load power generation, specification parameters, and usage time. It establishes a site thermal power unit database through MySQL, collects basic information about the thermal power units under the site, and creates a file for each thermal power unit. The file information includes the normal load power generation, low load power generation, specification parameters, usage time, and number of the current thermal power unit.

[0099] The low-load operation time calculation module collects the pollutant emissions and equipment wear of thermal power units over time during the low-load operation of thermal power units with different specifications and usage time. Based on the pollutant emission threshold and equipment wear threshold, and according to the usage time and specification parameters of the subordinate thermal power units, the theoretical low-load operation time of the subordinate thermal power units is determined and recorded in the archives of the relevant thermal power units;

[0100] The group control coordination module dynamically groups the subordinate thermal power units according to the normal load power generation and low load power generation of the subordinate thermal power units, the difference between the normal load and low load power generation, and the power generation adjustment value under the peak load condition. Combined with the low load operation time of the thermal power units in the dynamic group, the thermal power units in different groups are controlled to operate in turn until the peak load is completed.

[0101] In summary, the present invention calculates the theoretical low-load operation time of each subordinate thermal power unit by combining the actual equipment parameters of the subordinate thermal power units with the usage time, and dynamically groups and pairs the subordinate equipment in combination with the power generation adjustment amount of each peak-shaving task, and based on the lowest value of the theoretical low-load operation time of each pair in each group, controls the pairs in the group in turn in order to meet the peak-shaving demand. By managing the low-load operation time, the operation time of the equipment under non-optimal conditions is reduced, and the wear and failure rate are reduced. By selecting the smaller value of the theoretical low-load operation time limited by pollutant emissions and the theoretical low-load operation time limited by equipment wear as the theoretical low-load operation time of the current thermal power unit, considering that the theoretical low-load operation time of different thermal power units is affected by the initial emissions and initial wear of different thermal power units themselves, it is ensured that the operation of the thermal power units during the peak-shaving process complies with relevant regulations, and irreversible effects on the thermal power units are avoided. The calculation of the theoretical low-load operation time can be more in line with the actual situation of each unit, and a one-size-fits-all standard is avoided for all thermal power units.

[0102] By operating the subordinate thermal power units in an alternating load cycle, the 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 being in a low-load operating state for a long time. Dynamic grouping and pairing makes it possible to select 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 reasonably 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 principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for coordinated control of deep peak load conditions of thermal power units, characterized in that: The method comprises the following steps: S1. Collect information on subordinate thermal power units, including normal load power generation, low load power generation, specification parameters, and usage time, and calculate low load operation time based on the actual situation of subordinate thermal power units; S2. Dynamically group the subordinate thermal power units according to the normal load power generation and low load power generation of the subordinate thermal power units, the difference between the normal load and low load power generation, and the power generation adjustment value under the peak load condition; S3. Coordinate and control the operation of thermal power units in different groups based on the adjustable power generation range of the subordinate thermal power units and the low-load operation time of the thermal power units in the dynamic groups.

2. A method for coordinated control of deep peak load conditions of thermal power units according to claim 1, characterized in that: The S1 comprises the following steps: S11. Establish a thermal power unit database of the site through MySQL, collect basic information of the thermal power units under the site, and establish a file for each thermal power unit. The file information includes the normal load power generation, low load power generation, specification parameters, usage time, and number of the current thermal power unit; S12. Collect historical pollutant emissions and equipment wear of thermal power units over time during low-load operation of thermal power units with different specifications and usage time. Based on the pollutant emission threshold and equipment wear threshold, and according to the usage time and specification parameters of the subordinate thermal power units, determine the theoretical low-load operation time of the subordinate thermal power units, and record it in the relevant thermal power unit files.

3. A method for coordinated control of deep peak load conditions of thermal power units according to claim 2, characterized in that: The S12 comprises the following steps: S121. Collect the pollutant emissions and equipment wear of thermal power units over time during the low-load operation of thermal power units with different specifications and usage time, and establish a pollutant emission prediction model and an equipment wear prediction model. The algorithm formula is: E=k E ×t+b E ; W=k W ×t+b W ; Among them, E and W represent pollutant emissions and equipment wear respectively, t represents the low-load operation time of the thermal power unit, and k E , k W 、b E 、b W They represent the emission coefficient, wear coefficient, initial emission and initial wear respectively; S122. According to the historical data of different specifications and service life of thermal power units, the pollutant emissions and equipment wear of thermal power units over time during low-load operation, the service life of thermal power units is divided into three stages, and k is determined by regression analysis. E , k W ; S123, divide the files in the thermal power unit database based on the use time stage, and substitute the corresponding emission coefficient, wear coefficient and initial emission and initial wear of different thermal power units, combined with the pollutant emission threshold E θ And the equipment wear threshold W θ , calculate the theoretical low-load operation time of different thermal power units under its jurisdiction, and the algorithm formula is: in, They represent the initial emission and initial wear of the thermal power unit numbered i, They represent the emission coefficient and wear coefficient of the thermal power unit numbered i under the corresponding service life, represents the theoretical low-load operation time of the thermal power unit numbered i based on the pollutant emission limit, The theoretical low-load operation time of the thermal power unit numbered i based on equipment wear limitation; S124, take and The smaller value in is taken as the theoretical low-load operation time of the thermal power unit numbered i at present. The theoretical low-load running time of the corresponding number Recorded in the corresponding thermal power unit files.

4. A method for coordinated control of deep peak load conditions of thermal power units according to claim 1, characterized in that: The S2 comprises the following steps: S21. Based on the normal load power generation and low load power generation of the thermal power units in the files of the subordinate thermal power units, the power generation difference of different thermal power units is calculated. The algorithm formula is: Among them, ΔP i Represents the power difference of the thermal power unit numbered i, They represent the normal load power generation and low load power generation of the thermal power unit numbered i respectively; S22, combined with the power generation adjustment amount P under each peak load condition 调整 And the ΔP of different thermal power units under its jurisdiction i , dynamically group the subordinate thermal power units, and adjust the power generation amount P 调整 Divide into different parts and assign them to different groups.

5. A method for coordinated control of deep peak load conditions of thermal power units according to claim 4, characterized in that: The S22 comprises the following steps: S221, create an empty grouping set G = {G1, G2, ..., G n }, where n is the number of groups. Initially, each group G j For an empty group, the power generation adjustment amount P 调整 Divide it by n times to get the adjustment value λ for each group: S222, based on ΔP i Arrange in descending order, and arbitrarily select m devices for pairing, so that ΔP1+ΔP2+...+ΔP m =δ, setting tolerance When λ-δ≤ε, it means that m devices are paired. Any even number of paired devices are summarized into G j As a group, until the group set G = {G1, G2, ..., G n }Filling completed.

6. A method for coordinated control of deep peak load conditions of thermal power units according to claim 5, characterized in that: The S3 comprises the following sub-steps: S31, according to the grouping set G = {G1, G2, ..., G n }, count the low-load operation time in the files of the thermal power units under its jurisdiction, and for each group G j The total number of pairs in Y j Divide equally to obtain paired groups: S32, based on paired groups The low-load operation time of the thermal power units in group G j Coordinated control and adjustment of the operation of thermal power units.

7. A method for coordinated control of deep peak load conditions of thermal power units according to claim 6, characterized in that: The S32 comprises the following sub-steps: S321, Pairing Group Theoretical low-load operation time of thermal power units Arrange them in descending order, and select the theoretical low-load running time that ranks first as the pairing group. Peak-shifting operation duration S322, for each group G j Pairing Groups in Priority Selection Low load operation of thermal power units Time, while ensuring The thermal power units in the After the time is up, Low load operation of thermal power units time, while maintaining The thermal power units in the system will operate at normal load, and this cycle will continue until the peak load regulation is completed.

8. A deep peak load regulation coordinated control system for thermal power units, characterized in that: The system adopts the coordinated control method for deep peak load regulation of thermal power units as described in any one of claims 1 to 7, including a data collection module, a low load operation time calculation module, and a group control coordination module: The data collection module collects information about the subordinate thermal power units, including normal load power generation, low load power generation, specification parameters, and usage time, establishes a site thermal power unit database through MySQL, collects basic information about the thermal power units under the site, and establishes a file for each thermal power unit. The file information includes the normal load power generation, low load power generation, specification parameters, usage time, and number of the current thermal power unit; The low-load operation time calculation module collects the pollutant emissions and equipment wear of the thermal power units over time during the low-load operation of the thermal power units with different historical specifications and usage time, and determines the theoretical low-load operation time of the subordinate thermal power units based on the pollutant emission threshold and the equipment wear threshold, according to the usage time and specification parameters of the subordinate thermal power units, and records it in the relevant thermal power unit files; The group control coordination module dynamically groups the subordinate thermal power units according to the normal load power generation power and low load power generation power of the subordinate thermal power units, the difference between the normal load and low load power generation power, and the power generation adjustment value under the peak load condition, and controls the thermal power units in different groups in turn according to the low load operation time of the thermal power units in the dynamic groups until the peak load is completed.

Images