CN112286057A - Coal amount optimizing and predicting control method based on AGC optimization of thermal power plant - Google Patents
Coal amount optimizing and predicting control method based on AGC optimization of thermal power plant Download PDFInfo
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Abstract
The invention discloses a coal amount optimizing and predicting control method based on AGC optimization of a thermal power plant, which comprises the steps that a boiler main control in an AGC and CCS control system adopts a feedforward plus PID control strategy, in addition, in order to improve the response speed and the control precision of a boiler, an intelligent feedforward is also added, a coal amount forecasting link and a planning objective function are designed, the automatic parameter optimizing is realized through DCS configuration programming of the power plant, when a load instruction changes, the load changes from a current instruction to a target instruction, the feedforward action immediately puts a large amount of fuel into the boiler, and the amount of the put fuel, the put time, the deviation between the target load and an actual load instruction, the deviation between a main steam pressure target value and a main steam pressure, and reset 'F' trigger are related, so the main control of a unit boiler is realized. The invention can realize feed-forward self-adaptation, reduce manual adjustment work, and improve the adjustment quality of the main steam pressure, thereby improving the adjustment quality of CCS and AGC.
Description
Technical Field
The invention relates to a predictive control method, belongs to the field of thermal control automation of a thermal power plant, and particularly relates to a coal quantity optimizing predictive control method based on AGC optimization of the thermal power plant.
Background
The AGC technical index of the thermal power unit is always important in the automatic control level of the thermal power plant, is one of important indexes for power plant examination by a power grid, and is an important means for maintaining the stability of the power grid after a large amount of new energy is connected to the power grid. The unit CCS (coordinated control system) is the basis of AGC; because the thermal power generating unit boiler has large inertia and hysteresis, how to improve the CCS and AGC technical indexes of the unit is also one of the biggest problems of the thermal control technology; along with the continuous enhancement of AGC consideration, a large amount of manpower and material resources are invested in AGC optimization work of each factory so as to improve AGC indexes and reduce the evaluation of a power plant AGC by a power grid. In the optimization process, technicians try to apply methods such as various modern control theories and the like to carry out optimization, and a good control effect is obtained.
The project designs a target optimization function by summarizing field experience, and designs and realizes an automatic optimization control method based on a Distributed Control System (DCS). The control strategy is introduced into CCS coal amount feedforward and configured in DCS, the automatic optimization resetting function and the coal amount prediction function are realized, the idea of an automatic control system expert is introduced into the field DCS, the workload of adjusting control parameters by personnel is reduced, the AGC control quality is effectively improved, the main steam pressure can be quickly and stably controlled in the variable load process, and the safety of a boiler is improved.
Modern control theories, such as a predictive control theory, a genetic algorithm, a neural network, fuzzy control and other control strategy control algorithms are mature, but the method also has the characteristics of needing to establish an accurate mathematical model, large on-line computation amount, difficult realization on site and the like. The control strategy based on the automatic coal quantity optimizing and predicting feedforward is not as deep as the modern control theory, but also has the advantages of no need of establishing an accurate mathematical model, small online operand, easy realization on site and the like, and is convenient for popularization and application.
The existing Artificial Intelligence (AI) technology is prevalent, a control strategy based on automatic coal quantity optimizing prediction feedforward can replace an expert to carry out operation, and the control strategy can also be called as artificial intelligence in a certain meaning. However, the application of this method in DCS is an attempt, which is still incomplete in many respects and requires a great deal of effort.
Disclosure of Invention
In order to overcome the defects of the technology, the invention provides a coal amount optimizing and predicting control method based on AGC optimization of a thermal power plant.
In order to solve the technical problems, the invention adopts the technical scheme that: a coal optimizing, predicting and controlling method based on AGC optimization of a thermal power plant comprises that a boiler main control in an AGC and CCS control system adopts a control strategy of feedforward plus PID, in addition, in order to improve the response speed and the control precision of a boiler, an intelligent feedforward is also added, a coal amount prediction link is designed, a target function is planned, parameter automatic optimization is realized through DCS configuration programming of the power plant, thus feedforward self-adaption can be realized, manual adjustment work is reduced, the adjustment quality of main steam pressure can be improved, the adjustment quality of CCS and AGC is further improved, the intelligent feedforward adopts a plurality of feedforward accumulation to form a boiler main control total feedforward, a predicted coal amount feedforward G1 is designed, the predicted coal amount G1 is a corresponding coal amount prediction feedforward obtained through a preset function when the load is increased or decreased through the deviation between a target load (an AGC instruction) and an actual load instruction (an instruction after the target load passes through rate limitation), the method specifically comprises the following steps:
(1) the deviation between the target load and the actual load instruction is larger than 1MW and is delayed by 2s, and the unit instruction is switched through a switching module, so that the unit instruction is 'on', the feedforward trigger starts to function, and meanwhile, the unit is judged to be in a 'load instruction increasing' state;
(2) when the deviation between the target load and the actual load is less than 1.2MW and the deviation between the main steam pressure instruction and the target value is less than a certain value (reset optimization +), resetting the feedforward quantity and eliminating the state of load instruction increase;
(3) when the deviation between the target value of the main steam pressure and the main steam pressure is less than a certain value of-0.3 Mpa, the feedforward is reset immediately to ensure that the overshoot of the main steam pressure is not too large;
(4) the main steam pressure of the unit adopts a constant pressure-sliding pressure-constant pressure operation mode, the unit adopts constant pressure operation when the load is operated at 135MW or above, and the main steam pressure does not need to be increased, so that the coal amount feedforward is multiplied by 0.5 to reduce half operation;
(5) when the load command is in a load instruction increasing state, feedforward keeps the initial deviation (the deviation amount at the maximum) of the target load and the actual load so as to meet the requirement of the unit on the coal amount when the load is increased;
when the load instruction changes and the load changes from the current instruction to the target instruction, a feed-forward action immediately puts a large amount of fuel into the boiler, and the amount of the put fuel and the putting time are related to the deviation of the target load and the actual load instruction, the deviation of the main steam pressure target value and the main steam pressure and reset 'F' triggering according to the steps (1) - (5), so that the main control of the unit boiler is realized.
Further, the pre-increment portion of the predicted coal amount feed-forward G1 includes:
(1) the switching module 'T', namely when the lower pin is input, the output instruction is the input value of the pin 'Y'; when the lower pin is not input, the output instruction is the input value of the pin 'N';
(2) the 'big selection module' is used for outputting a big value of two inputs;
(3) the 'small selection module' is used for outputting a small value of two inputs;
(4) the 'AND' is a logical AND, that is, when two inputs are all '1', that is, when all input values exist, the output end is '1', that is, output exists;
(5) the function 'F (x)' module has a structure of the corresponding relation of y and x, provides a plurality of groups of x and y points, connects the points to form the corresponding relation of y and x, and when x inputs a value, y correspondingly outputs a certain value;
(6) the pulse module outputs a pulse signal which sends a certain time t when the input is changed from no (0) to existing (1);
(7) a 'delay' module, namely when the input is changed from no ('0') to existing ('1'), delaying for a certain time t, the output is changed from no ('0') to existing ('1'), and when the input disappears, the output disappears at the same time;
(8) an RS trigger module, namely when the input R end is 0 and the S end is 1, the output is 1, and the output is kept until the input of the R end is 0, the output value is clear;
(9) a "logical inversion" module, i.e., the output is inverted for input, if there is an input ("1"), the output is none ("0"), and vice versa;
(10) an OR module, i.e. the output is "1" if only one of the two inputs is "1".
Further, when the reset optimization "F" is optimized for the feedback reset of the load increase, the logic thereof includes:
(1) the 'delayed turn-off' module is used for outputting '1' when the input is '1', and keeping the output for a certain time t when the input is changed into '0', and then changing into '0';
(2) an integrator module, which is used for accumulating the output of input deviation along with time when the two input ends have deviation, namely, calculating the integral, and changing the output into a Tr input value when an input pin Ts is changed into 1;
(3) the counter module is characterized in that a pulse is input into an input end C, accumulated 1 is output, and when the input end R is changed into 1, the output end is cleared;
(4) "clipping module LIM" means that the output value limits the input value to a given range;
(5) an "x" multiplication module;
(6) a "+" addition block.
Further, the load feedback reset self-optimizing logic algorithm specifically includes:
(1) the objective function is shown in formula (a):
(a)
wherein c1 and c2 are the weights of S1 and S2, when setting, c2 is larger than c1 to prevent the controlled quantity from being overshot to bring certain danger, and e (t) is the deviation of the target value and the actual value of the main steam pressure;
(2) setting the weight c1 to be 0.2 and c2 to be 0.8 in logic;
(3) s1 and S2 are both obtained by an integrator;
(4) after the process is started, when the target pressure is the same as the actual pressure, namely at the time t1, the counter starts to count for one time, when the target pressure is the same as the actual pressure again, namely at the time t2, the counter starts to count for the second time, the end C of the counter is a counting end, when a pulse is input, the accumulation 1 is output, and when the pulse is input at the end R, the output end is reset;
(5) when the load instruction increasing state disappears for 300 seconds (a delay switch-off module), and the counting of two times is not finished, the optimization is invalid, the system is reset, and each parameter is cleared or the last value is reserved;
(6) when the counting is not carried out for the second time within 180s of the first counting, the optimization is considered to be invalid, and the system is reset;
(7) in the process time, the load is not changed again, and the counting is completed twice, the suboptimal process is considered to be effective, and the target function value is recorded in A1;
(8) comparing the recorded A1 value after the integration is finished with the last recorded A0 value, and if A1 is greater than A0, increasing or decreasing the reset 'F' value by a certain value of 0.02; if the last time is to increase 0.02, the current time is decreased by 0.02;
(9) comparing the recorded A1 value with the last recorded A0 value after the integration is finished, and if A1 is less than A0, continuing to increase or decrease the reset F value by a certain value of 0.02; if the last time is the increase of 0.02, the increase of 0.02 is continued;
(10) according to debugging experience, limiting the reset F value within the range of-0.5 to-0.1;
(11) when the integrator Ts is 1, the integrator tracks the value Tr and is juxtaposed to "0";
(12) the system adopts uninterrupted cyclic optimization, and can be always optimized as long as the conditions are met;
(13) the load reduction reset optimizing process is the same as the load increase logic;
when the load change rate of the unit changes and the coal quality changes, the reset F value can be automatically adjusted according to the main steam pressure deviation and the target function setting so as to achieve the optimal adjusting effect.
The invention realizes the automatic optimization resetting function, introduces the control idea of a field expert into the field DCS equipment by utilizing the artificial intelligence technology, reduces the workload of personnel, effectively improves the AGC response quality, can quickly and stably control the main steam pressure in the variable load process, and improves the safety of the boiler.
Drawings
FIG. 1 is a schematic diagram of boiler master feed forward.
FIG. 2 is a logic diagram of a feed-forward pre-increasing part of the predicted coal amount G1.
FIG. 3 is a schematic diagram of the effect of coal quantity feed forward on main steam pressure regulation.
Fig. 4 is a schematic diagram of the load feedback reset auto-optimization logic.
FIG. 5 is a graph comparing the time of action of feed forward coal quantities before and after optimization.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
A coal optimizing, predicting and controlling method based on AGC optimization of a thermal power plant comprises that a boiler main control in an AGC and CCS control system adopts a control strategy of feedforward plus PID, in addition, in order to improve the response speed and the control precision of the boiler, an intelligent feedforward is also added, a coal amount prediction link is designed, an objective function is planned, parameter automatic optimization is realized through DCS configuration programming of the power plant, thus feedforward self-adaption can be realized, manual adjustment work is reduced, the adjustment quality of main steam pressure can be improved, and the adjustment quality of CCS and AGC is further improved, as shown in figure 1, the intelligent feedforward of the invention adopts a plurality of feedforward accumulation to form a boiler main control total feedforward, the last feedforward-predicted coal amount feedforward G1 shown in figure 1 is designed, the predicted coal amount G1 is the deviation between a target load (an AGC instruction) and an actual load instruction (an instruction after the target load passes through rate limitation), the corresponding coal quantity forecasting feedforward when the load is increased and decreased is obtained through a preset function, and the feedforward can improve the response speed of the boiler and ensure that parameters such as main steam pressure and the like can be quickly adjusted and maintained stably when the load of a unit is quickly changed and the main steam pressure is changed; the method specifically comprises the following steps:
(1) the deviation between the target load and the actual load instruction is larger than 1MW and is delayed by 2s, and the unit instruction is switched through a switching module, so that the unit instruction is 'on', the feedforward trigger starts to function, and meanwhile, the unit is judged to be in a 'load instruction increasing' state;
(2) when the deviation between the target load and the actual load is less than 1.2MW and the deviation between the main steam pressure instruction and the target value is less than a certain value (reset optimization +), resetting the feedforward quantity and eliminating the state of load instruction increase;
(3) when the deviation between the target value of the main steam pressure and the main steam pressure is less than a certain value of-0.3 Mpa, the feedforward is reset immediately to ensure that the overshoot of the main steam pressure is not too large;
(4) the main steam pressure of the unit adopts a constant pressure-sliding pressure-constant pressure operation mode, the unit adopts constant pressure operation when the load is operated at 135MW or above, and the main steam pressure does not need to be increased, so that the coal amount feedforward is multiplied by 0.5 to reduce half operation;
(5) when the load command is in a load instruction increasing state, feedforward keeps the initial deviation (the deviation amount at the maximum) of the target load and the actual load so as to meet the requirement of the unit on the coal amount when the load is increased;
the logic of the feedforward pre-increasing part for predicting the coal amount G1 is shown in FIG. 2, and specifically includes:
(1) the switching module 'T', namely when the lower pin is input, the output instruction is the input value of the pin 'Y'; when the lower pin is not input, the output instruction is the input value of the pin 'N';
(2) the 'big selection module' is used for outputting a big value of two inputs;
(3) the 'small selection module' is used for outputting a small value of two inputs;
(4) the 'AND' is a logical AND, that is, when two inputs are all '1', that is, when all input values exist, the output end is '1', that is, output exists;
(5) the function 'F (x)' module has a structure of the corresponding relation of y and x, provides a plurality of groups of x and y points, connects the points to form the corresponding relation of y and x, and when x inputs a value, y correspondingly outputs a certain value;
(6) the pulse module outputs a pulse signal which sends a certain time t when the input is changed from no (0) to existing (1);
(7) a 'delay' module, namely when the input is changed from no ('0') to existing ('1'), delaying for a certain time t, the output is changed from no ('0') to existing ('1'), and when the input disappears, the output disappears at the same time;
(8) an RS trigger module, namely when the input R end is 0 and the S end is 1, the output is 1, and the output is kept until the input of the R end is 0, the output value is clear;
(9) a "logical inversion" module, i.e., the output is inverted for input, if there is an input ("1"), the output is none ("0"), and vice versa;
(10) an OR module, i.e. the output is "1" if only one of the two inputs is "1".
As shown in fig. 2, when the load command changes, the feed forward action immediately puts in a large amount of fuel when the load changes from the current command to the target command; the input fuel quantity and input time are related to the deviation of the target load and the actual load instruction, the main steam pressure target value and the main steam pressure deviation, and the reset 'F' trigger.
As shown in fig. 4, when the reset optimization "F" optimizes the feedback reset for increased load, the logic includes:
(1) the 'delayed turn-off' module is used for outputting '1' when the input is '1', and keeping the output for a certain time t when the input is changed into '0', and then changing into '0';
(2) an integrator module, which is used for accumulating the output of input deviation along with time when the two input ends have deviation, namely, calculating the integral, and changing the output into a Tr input value when an input pin Ts is changed into 1;
(3) the counter module is characterized in that a pulse is input into an input end C, accumulated 1 is output, and when the input end R is changed into 1, the output end is cleared;
(4) "clipping module LIM" means that the output value limits the input value to a given range;
(5) an "x" multiplication module;
(6) a "+" addition block.
The load feedback reset self-optimizing logic algorithm shown in fig. 4 specifically includes:
(1) the objective function is shown in formula (a):
(a)
wherein, c1、c2Weights of S1 and S2, when set, c2Is greater than c1To prevent the controlled quantity from being overshot to bring certain danger, e (t) is the deviation of the target value and the actual value of the main steam pressure;
(2) setting the weight c in the logic1＝0.2,c2＝0.8；
(3) S1 and S2 are both obtained by an integrator;
(4) after the process is started, when the target pressure is the same as the actual pressure, namely at the time t1, the counter starts to count for one time, when the target pressure is the same as the actual pressure again, namely at the time t2, the counter starts to count for the second time, the end C of the counter is a counting end, when a pulse is input, the accumulation 1 is output, and when the pulse is input at the end R, the output end is reset;
(5) when the load instruction increasing state disappears for 300 seconds (a delay switch-off module), and the counting of two times is not finished, the optimization is invalid, the system is reset, and each parameter is cleared or the last value is reserved;
(6) when the counting is not carried out for the second time within 180s of the first counting, the optimization is considered to be invalid, and the system is reset;
(7) in the process time, the load is not changed again, and the counting is completed twice, the suboptimal process is considered to be effective, and the target function value is recorded in A1;
(8) comparing the recorded A1 value after the integration is finished with the last recorded A0 value, and if A1 is greater than A0, increasing or decreasing the reset 'F' value by a certain value of 0.02; if the last time is to increase 0.02, the current time is decreased by 0.02;
(9) comparing the recorded A1 value with the last recorded A0 value after the integration is finished, and if A1 is less than A0, continuing to increase or decrease the reset F value by a certain value of 0.02; if the last time is the increase of 0.02, the increase of 0.02 is continued;
(10) according to debugging experience, limiting the reset F value within the range of-0.5 to-0.1;
(11) when the integrator Ts is 1, the integrator tracks the value Tr and is juxtaposed to "0";
(12) the system adopts uninterrupted cyclic optimization, and can be always optimized as long as the conditions are met;
(13) the load reduction reset optimizing process is the same as the load increase logic;
when the variable load rate of the unit changes and the coal quality changes, the reset F value can be automatically adjusted according to the main steam pressure deviation and the target function setting so as to achieve the optimal adjusting effect; as shown in fig. 3, where Pt is the main vapor pressure and t is the time, the present invention fundamentally solves the following hazards: when the absolute value of the reset value is larger, the area of S1 is larger, the area of S2 is smaller, but the climbing phenomenon can occur; when the absolute value of the reset value is small, the area of S2 is large, and the area of S1 is small, and the overshoot is large.
As shown in fig. 5, when the load command changes, the feed forward action immediately puts in a large amount of fuel when the load changes from the current command to the target command; when the load is not changed in place, the coal amount feed-forward of the original design is withdrawn too early (shown by a dotted line in the figure), and the time for acting on the feed-forward coal amount is increased (shown by a solid line in the figure) by modifying the predicted coal amount G1.
The invention adopts an automatic optimization control method, introduces the method into CCS coal quantity feedforward and configures the method in DCS, thus realizing the automatic optimization resetting function and the coal quantity predicting function; the control idea of a field expert is introduced into field DCS equipment by using an artificial intelligence technology, so that the workload of personnel is reduced, the AGC response quality is effectively improved, the main steam pressure can be fast and stable in the variable load process, and the safety of a boiler is improved; although the control method is not as deep as the modern control theory, the control method also has the characteristics of no need of establishing a mathematical model, simple calculation method, easy realization on site and the like, has the advantages which the modern control theory does not have, and the control method can replace experts to carry out calculation when the Artificial Intelligence (AI) technology is prevalent, and can also be called as artificial intelligence in a certain meaning.
The invention can obtain better control effect in a circulating fluidized bed boiler thermal power generating unit, a drum boiler and a once-through boiler thermal power generating unit, improves the control quality of CCS and AGC, promotes the technical progress of a power plant and brings certain economic benefit to the power plant.
The above embodiments are not intended to limit the present invention, and the present invention is not limited to the above examples, and those skilled in the art may make variations, modifications, additions or substitutions within the technical scope of the present invention.
Claims (4)
1. A coal amount optimizing and predicting control method based on AGC optimization of a thermal power plant is characterized by comprising the following steps: the boiler main control included in AGC and CCS control system adopts feedforward plus PID control strategy, and, in order to improve the response speed and control accuracy of the boiler, an intelligent feedforward is also added, design coal quantity prediction link, plan objective function, through power plant DCS configuration programming, realize automatic parameter optimization, thus can realize feedforward self-adaptation, reduce artificial adjustment work, and improve the regulation quality of main steam pressure, and further improve the regulation quality of CCS and AGC, the intelligent feedforward adopts multinomial feedforward accumulation to form boiler main control total feedforward, and design predicted coal quantity feedforward G1, predicted coal quantity G1 is through the deviation between target load (AGC instruction) and actual load instruction (instruction after target load passes through rate limitation), through the corresponding coal quantity prediction feedforward of load increase and decrease obtained by presetting function, specifically including:
(1) the deviation between the target load and the actual load instruction is larger than 1MW and is delayed by 2s, and the unit instruction is switched through a switching module, so that the unit instruction is 'on', the feedforward trigger starts to function, and meanwhile, the unit is judged to be in a 'load instruction increasing' state;
(2) when the deviation between the target load and the actual load is less than 1.2MW and the deviation between the main steam pressure instruction and the target value is less than a certain value (reset optimization +), resetting the feedforward quantity and eliminating the state of load instruction increase;
(3) when the deviation between the target value of the main steam pressure and the main steam pressure is less than a certain value of-0.3 Mpa, the feedforward is reset immediately to ensure that the overshoot of the main steam pressure is not too large;
(4) the main steam pressure of the unit adopts a constant pressure-sliding pressure-constant pressure operation mode, the unit adopts constant pressure operation when the load is operated at 135MW or above, and the main steam pressure does not need to be increased, so that the coal amount feedforward is multiplied by 0.5 to reduce half operation;
(5) when the load command is in a load instruction increasing state, feedforward keeps the initial deviation (the deviation amount at the maximum) of the target load and the actual load so as to meet the requirement of the unit on the coal amount when the load is increased;
when the load instruction changes and the load changes from the current instruction to the target instruction, a feed-forward action immediately puts a large amount of fuel into the boiler, and the amount of the put fuel and the putting time are related to the deviation of the target load and the actual load instruction, the deviation of the main steam pressure target value and the main steam pressure and reset 'F' triggering according to the steps (1) - (5), so that the main control of the unit boiler is realized.
2. The thermal power plant AGC optimization-based coal quantity optimizing predictive control method according to claim 1, characterized in that: the pre-increment portion of the predicted coal amount feed-forward G1 includes:
(1) the switching module 'T', namely when the lower pin is input, the output instruction is the input value of the pin 'Y'; when the lower pin is not input, the output instruction is the input value of the pin 'N';
(2) the 'big selection module' is used for outputting a big value of two inputs;
(3) the 'small selection module' is used for outputting a small value of two inputs;
(4) the 'AND' is a logical AND, that is, when two inputs are all '1', that is, when all input values exist, the output end is '1', that is, output exists;
(5) the function 'F (x)' module has a structure of the corresponding relation of y and x, provides a plurality of groups of x and y points, connects the points to form the corresponding relation of y and x, and when x inputs a value, y correspondingly outputs a certain value;
(6) the pulse module outputs a pulse signal which sends a certain time t when the input is changed from no (0) to existing (1);
(7) a 'delay' module, namely when the input is changed from no ('0') to existing ('1'), delaying for a certain time t, the output is changed from no ('0') to existing ('1'), and when the input disappears, the output disappears at the same time;
(8) an RS trigger module, namely when the input R end is 0 and the S end is 1, the output is 1, and the output is kept until the input of the R end is 0, the output value is clear;
(9) a "logical inversion" module, i.e., the output is inverted for input, if there is an input ("1"), the output is none ("0"), and vice versa;
(10) an OR module, i.e. the output is "1" if only one of the two inputs is "1".
3. The thermal power plant AGC optimization-based coal quantity optimizing predictive control method according to claim 1, characterized in that: when the reset optimization F is the load-increasing feedback reset optimization, the logic thereof comprises:
(1) the 'delayed turn-off' module is used for outputting '1' when the input is '1', and keeping the output for a certain time t when the input is changed into '0', and then changing into '0';
(2) an integrator module, which is used for accumulating the output of input deviation along with time when the two input ends have deviation, namely, calculating the integral, and changing the output into a Tr input value when an input pin Ts is changed into 1;
(3) the counter module is characterized in that a pulse is input into an input end C, accumulated 1 is output, and when the input end R is changed into 1, the output end is cleared;
(4) "clipping module LIM" means that the output value limits the input value to a given range;
(5) an "x" multiplication module;
(6) a "+" addition block.
4. The coal amount optimizing, predicting and controlling method based on thermal power plant AGC optimization according to claim 3, characterized in that: the load-increasing feedback reset self-optimizing logic algorithm specifically comprises the following steps:
(1) the objective function is shown in formula (a):
wherein, c1、c2Weights of S1 and S2, when set, c2Is greater than c1To prevent the controlled quantity from being overshot to bring certain danger, e (t) is the deviation of the target value and the actual value of the main steam pressure;
(2) setting the weight c in the logic1＝0.2,c2＝0.8；
(3) S1 and S2 are both obtained by an integrator;
(4) after the process is started, when the target pressure is the same as the actual pressure, namely at the time t1, the counter starts to count for one time, when the target pressure is the same as the actual pressure again, namely at the time t2, the counter starts to count for the second time, the end C of the counter is a counting end, when a pulse is input, the accumulation 1 is output, and when the pulse is input at the end R, the output end is reset;
(5) when the load instruction increasing state disappears for 300 seconds (a delay switch-off module), and the counting of two times is not finished, the optimization is invalid, the system is reset, and each parameter is cleared or the last value is reserved;
(6) when the counting is not carried out for the second time within 180s of the first counting, the optimization is considered to be invalid, and the system is reset;
(7) in the process time, the load is not changed again, and the counting is completed twice, the suboptimal process is considered to be effective, and the target function value is recorded in A1;
(8) comparing the recorded A1 value after the integration is finished with the last recorded A0 value, and if A1 is greater than A0, increasing or decreasing the reset 'F' value by a certain value of 0.02; if the last time is to increase 0.02, the current time is decreased by 0.02;
(9) comparing the recorded A1 value with the last recorded A0 value after the integration is finished, and if A1 is less than A0, continuing to increase or decrease the reset F value by a certain value of 0.02; if the last time is the increase of 0.02, the increase of 0.02 is continued;
(10) according to debugging experience, limiting the reset F value within the range of-0.5 to-0.1;
(11) when the integrator Ts is 1, the integrator tracks the value Tr and is juxtaposed to "0";
(12) the system adopts uninterrupted cyclic optimization, and can be always optimized as long as the conditions are met;
(13) the load reduction reset optimizing process is the same as the load increase logic;
when the load change rate of the unit changes and the coal quality changes, the reset F value can be automatically adjusted according to the main steam pressure deviation and the target function setting so as to achieve the optimal adjusting effect.
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