CN102654751B - Coordination control method based on nonlinear control and fuzzy control - Google Patents

Coordination control method based on nonlinear control and fuzzy control Download PDF

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CN102654751B
CN102654751B CN201210097284.1A CN201210097284A CN102654751B CN 102654751 B CN102654751 B CN 102654751B CN 201210097284 A CN201210097284 A CN 201210097284A CN 102654751 B CN102654751 B CN 102654751B
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control
load
instruction
boiler
master
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CN102654751A (en
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马呈霞
张小敏
钱康
张世才
郭涛
王维洲
韩旭衫
夏明�
牛海明
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Beijing Guodian Zhishen Control Technology Co ltd
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Gansu Electric Power Co Ltd
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BEIJING GUODIAN ZHISHEN CONTROL TECHNOLOGY Co Ltd
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Gansu Electric Power Co Ltd
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Abstract

The invention discloses a coordination control method based on nonlinear control and fuzzy control. The coordination control method comprises the following steps of: performing load selection on load orders of network control and load orders set by operators, and correcting the frequency deviation of the load orders to serve as electric power order signals; computing PID (Proportion Integration Differentiation) of a turbine master with the electric power order signal serving as a set value and engine power serving as a measured value, and generating a master order of a turbine with signals serving as feedforward, wherein the signals are formed by virtue of a function curve of pressure deviation and the variation of set pressure values; computing the PID of boiler master control with a set value formed by multiplying a steam pressure ratio with a main steam pressure value, and a heat signal serving as a measured value, and finally generating a boiler master control order with signals serving as feedforward, wherein the signals are generated by virtue of a function curve of boiler acceleration orders and the load orders; and controlling a thermal power unit according to the master control order of the turbine and the boiler master control order. The coordination control method has the advantage of balancing the supply and demand between a boiler and a turbonator in the unit so as to achieve optimal control.

Description

Based on the control method for coordinating of nonlinear Control and fuzzy control
Technical field
The present invention relates to power plant and coordinate control field, particularly, relate to a kind of control method for coordinating based on nonlinear Control and fuzzy control.
Background technology
When thermal power plant's monoblock is moved, boiler and turbodynamo maintain the requirement of external load jointly, and also common guarantee internal operation parameter (being mainly main steam pressure) is stable.Therefore whether the output power of monoblock and burden requirement be consistent has reflected energy the supply and demand equilibrium between unit and external electrical network, and main steam pressure has reflected energy the supply and demand equilibrium between the inner boiler of unit and turbodynamo.That is to say that power and main vapour pressure are that monoblock is coordinated the major parameter of controlling.
Because the operational process of boiler and turbodynamo respectively has feature, there is very big-difference in their dynamic perfromance, and the load responding of turbodynamo is fast, boiler load low-response.Prior art can not guarantee monoblock control operation of coordinator, stove two sides well in the time loading control, reasonably keeps the supply and demand equilibrium of good inside and outside two energy, can not take into account load responding performance and internal operation parameter stability.That is to say, existing monoblock can not, in externally having power response faster and certain fm capacity, guarantee that main steam pressure maintains in allowed band.
Summary of the invention
The object of the invention is to, for the problems referred to above, a kind of control method for coordinating based on nonlinear Control and fuzzy control is proposed, to realize when unit group externally has power response faster and certain fm capacity, guarantee that main steam pressure maintains in allowed band, thereby make the balance between supply and demand between boiler and the turbodynamo in unit, reach the advantage of maximum efficiency.
For achieving the above object, the technical solution used in the present invention is:
Based on a control method for coordinating for nonlinear Control and fuzzy control, the load instruction that load instruction to network control, operations staff the set selection of load, after correction as electric power command signal;
Be that setting value, generator power are that setting value is carried out PID computing by above-mentioned electric power command signal, and pass through the first function curve (corresponding power correction curve of pressure divergence with pressure divergence and pressure set points variable quantity, when pressure divergence is large, by change of load instruction, carry out change of load, avoid pressure divergence to strengthen because of increasing and decreasing load, keeping system is stable) signal that forms is as feedforward, forms the master control instruction of steam turbine;
Be multiplied by main steam pressure value as setting value take vapour pressure ratio, heat signal is as measured value, carry out boiler master PID computing, (load instruction changes and directly changes boiler master instruction to pass through the second function curve with boiler assisted instruction and load instruction, rather than boiler master instruction is adjusted in the variation of wait main vapour pressure again, can improve boiler response speed), the signal of formation, as feedforward, finally forms boiler master instruction;
According to the master control instruction of above-mentioned steam turbine and boiler master instruction, fired power generating unit is controlled.
According to a preferred embodiment of the invention, described PID computing is:
The selection principle of its nonlinear function f (e) is: compared with linearity, take larger control when little error, when large error, take less control, nonlinear function f (e) formula is as follows:
Figure 896476DEST_PATH_IMAGE002
Wherein: e is input wire size; δ is the filtering factor of function wave filter, increases δ and can make filter effect improve, but carryover effects aggravation; α is constant, and value between 0 ~ 1 is worth littlely, follows the tracks of sooner, and filter effect is poorer.
According to a preferred embodiment of the invention, in described PID computing, adopt fuzzy control, deviation processing has adopted above-mentioned nonlinear function, and its integral element is divided into and when the stable state of load instruction when unchanged becomes integrating network and load instruction variation, dynamically becomes integrating network, in load change process, pass through dynamically become integrating networksuitably weaken integration, in the time that load does not change, be cut to stable state and become integrating network, the power of integral action is carried out fuzzy from adjusting by deviation and deviation variation rate.
Technical scheme of the present invention, carry out fuzzy control and PID computing by the master control instruction to boiler instruction and steam turbine, the control operation of coordinator, stove two sides well, reasonably keeps the well the supply and demand equilibrium of inside and outside two energy, to take into account load responding performance and internal operation parameter stability.Make monoblock externally have power response and certain fm capacity faster, guarantee that main steam pressure maintains in allowed band simultaneously, thereby make the balance between supply and demand between boiler and the turbodynamo in unit, reach optimally-controlled object.
Other features and advantages of the present invention will be set forth in the following description, and, partly from instructions, become apparent, or understand by implementing the present invention.Object of the present invention and other advantages can be realized and be obtained by specifically noted structure in write instructions, claims and accompanying drawing.
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for instructions, for explaining the present invention, is not construed as limiting the invention together with embodiments of the present invention.In the accompanying drawings:
Fig. 1 is the output power instruction process schematic diagram of the control method for coordinating based on nonlinear Control and fuzzy control described in the embodiment of the present invention;
Fig. 2 is the boiler master command instruction handling principle figure of the control method for coordinating based on nonlinear Control and fuzzy control described in the embodiment of the present invention;
Fig. 3 is the steam turbine master control command instruction handling principle figure of the control method for coordinating based on nonlinear Control and fuzzy control described in the embodiment of the present invention;
Fig. 4 is the fuzzy control rule table of the control method for coordinating based on nonlinear Control and fuzzy control described in the embodiment of the present invention;
Fig. 5 is the boiler assisted instruction fundamental diagram of the control method for coordinating based on nonlinear Control and fuzzy control described in the embodiment of the present invention:
Fig. 6 is the boiler signal for faster configuration figure of the control method for coordinating based on nonlinear Control and fuzzy control described in the embodiment of the present invention;
Fig. 7 is the control flow chart of the non-linearity PID of the control method for coordinating based on nonlinear Control and fuzzy control described in the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein, only for description and interpretation the present invention, is not intended to limit the present invention.
Based on a control method for coordinating for nonlinear Control and fuzzy control, the load instruction that load instruction to network control, operations staff the set selection of load, after correction as electric power command signal;
By electric power command signal be that setting value, generator power are that setting value is carried out PID computing, and pass through the first function curve (corresponding power correction curve of pressure divergence with pressure divergence and pressure set points variable quantity, when pressure divergence is large, by change of load instruction, carry out change of load, avoid pressure divergence to strengthen because of increasing and decreasing load, keeping system is stable) signal that forms is as feedforward, forms the master control instruction of steam turbine;
Be multiplied by main steam pressure value as setting value take vapour pressure ratio, heat signal is as measured value, carry out boiler master PID computing, (load instruction changes and directly changes boiler master instruction to pass through the second function curve with boiler assisted instruction and load instruction, rather than boiler master instruction is adjusted in the variation of wait main vapour pressure again, can improve boiler response speed), the signal of formation, as feedforward, finally forms boiler master instruction;
According to the master control instruction of steam turbine and boiler master instruction, fired power generating unit is controlled.
PID computing is:
Figure 656622DEST_PATH_IMAGE001
The selection principle of its nonlinear function f (e) is: compared with linearity, take larger control when little error, when large error, take less control, nonlinear function f (e) formula is as follows:
Figure 48289DEST_PATH_IMAGE002
Wherein: e is input wire size; δ is the filtering factor of function wave filter, increases δ and can make filter effect improve, but carryover effects aggravation; α is constant, and value between 0 ~ 1 is worth littlely, follows the tracks of sooner, and filter effect is poorer.
In PID computing, adopt fuzzy control, deviation processing has adopted above-mentioned nonlinear function, its integral element is divided into and when the stable state of load instruction when unchanged becomes integrating network and load instruction variation, dynamically becomes integrating network, in load change process, suitably weaken integration by dynamic change integrating network, in the time that load does not change, be cut to stable state and become integrating network, the power of integral action is carried out fuzzy from adjusting by deviation and deviation variation rate, to reach quick elimination deviation, and reduce the object of overshoot, dynamically become integrating network, stable state become integrating network refer to logic according to load instruction rate of change automatic decision system in dynamic or stable state, adopt on this basis the method that changes the way of integral time and realize accurate control.
Wherein, 1) load command calculations loop
Load command calculations part Main Function: the correction of the abnormal conditions of the correction to unit load of the load instruction (Automatic Dispatch System) that ADS is provided, the target load that operations staff sets unit, mains frequency deviation, unit inside to unit load, select, and processed, make it the actual load instruction (ALD) changing into unit equipment situation and safe operation situation adapt at that time, as the set-point signal of electromotive power output.
In Fig. 1, the meaning of an order is as follows:
ADS: the load instruction of network control
Wsp: the load instruction that operations staff sets
W: actual load
RUNBACK: in the time that Important Auxiliary equipment breaks down
FCB: off-grid removal of load, unit house load operation (island operation)
RUNDOWN: when Important Auxiliary equipment is abnormal, when unit output increase is restricted, load declines automatically
RUNUP: when Important Auxiliary equipment is abnormal, unit output reduces while being restricted, load automatic-ascending
BL IN: the instruction of forbidding loading increases (BLOCK INCREASE), BL DE: it is according to unit important parameter that the instruction of forbidding loading subtracts (BLOCK DECREASE): when fuel (FUEL FLOW), air-supply (AIR FLOW), furnace pressure (FURN PRESS), feedwater (FWF) and instruction deviation exceed certain value, or conditioning equipment produces while having reached capacity.
The formation of unit load instruction, first changes and requires to determine according to external load, and " target load selection " is exactly load setting or the power grid control instruction of selecting according to operations staff.When input is the load instruction that a step changes, what after through-rate limiter, export is a ramp signal with certain slope variation, and slope is exactly the speed of load variations, and it can artificially be set according to load-following capacity and service requirement by operations staff.When under unit Important Auxiliary equipment failure condition, select different speed and desired value." load instruction select " is also responsible at unit during in the different method of operation, and the switching of load instruction is followed the tracks of; So that the method for operation switch time unperturbed.If require unit to carry out Automatic load change correction to the frequency departure of electrical network, load instruction will add frequency departure correction, finally export through the revised instruction of frequency departure.
For guarantee the safe operation of unit, just AGC and operations staff's load instruction need to be processed and become actual load instruction (N0) through some.Mainly contain the processing capacities such as the selection of load instruction mode, load rate restriction, the high/low amplitude limit of load, loadlock/subtracting, RUNBACK, the urgent lifting/lowering of load.
2) unit operation management
The Main Function of unit operation mode administrative section: according to unit operation condition and requirement, select suitable unit operation mode.Make boiler master controller and steam turbine master controller take respectively suitable regulative mode in the time controlling the power of the assembling unit and main steam pressure, to produce boiler master instruction and steam turbine master control instruction.
Coordinate to control the power and the main vapour pressure that refer to monoblock boiler and steam turbine coordination control unit.In the time that load instruction changes, unit master controller changes the combustion rate of boiler and the throttle flow of steam turbine concurrently, in order to make main vapour pressure fluctuation in rational scope, suitably limit steam turbine pitch aperture with the variation of vapour pressure and change and the regulating action of suitably strengthening boiler simultaneously.Under this coordinated control mode, unit is the variation of load-responsive quickly.Can maintain again stable operation of unit.
This coordinated control mode design proposal is DEB mode, i.e. DIRECT ENERGY balance mode, and its design philosophy is mainly:
A. embody the principle of boiler-turbine coordinated control.In the time there is workload demand, parallel power ratio control and the vapour pressure of participating in of machine stove;
B. carry out Design coordination control system with the viewpoint of " energy equilibrium "." energy " refers to the energy in the unit interval, i.e. " power ".As shown in Figure 2:
Illustrate: in Fig. 2: A, heat signal P1+(dPd/dt) thermal release signal or abbreviation, it adds that with governing stage vapour pressure P1 boiler accumulation of energy changes (by the differential representation of drum pressure Pd) and measures, and has indirectly represented fuel quantity (with the corresponding air quantity) measurement that enters boiler.No matter use which kind of fuel, this measurement is all correct, and it can reflect and the change of quantity of fuel also reflects the change of fuel composition simultaneously, comprises the change of its thermal value.The mechanical fault of fuel delivery system also can obtain quick reflection.It is the same that erect image required energy signal must be exempted the impact of boiler disturbance, and heat signal also must be exempted the impact of steamer pusher side disturbance, definitely to explain the energy of boiler supplying.Fact of case is also as this, and porthole is opened when large, and P1, raises, and drum pressure is but reducing, and both are balance just in time, and heat signal is constant, and this action that represents steam turbine valve does not affect heat signal.
B, the effective measured value that be compared to speed regulator valve aperture of P1/PT governing stage vapour pressure P1 to main steam pressure PT.Experimental results show that, this ratio has linear characteristic within the scope of steam turbine operation, and because this measured value is directly taken from steam turbine process mechanism itself, rather than the artificial valve position signal forming, can not be subject to the non-linear of valve itself and other mechanical problem shadows.Also can not be subject to any disturbance of boiler side or fuel system is in-problem affects, because under this disturbance, it is proportional that the vapour pressure of governing stage and main steam pressure change, and ratio is constant.C, PS(P1/PT) vapour pressure ratio is multiplied by main steam pressure definite value, represents that steam turbine demands the desired signal of energy to boiler.This signal has been set up correct proportionate relationship between steam turbine load and speed governing door aperture, be not subject to boiler side disturbing influence, no matter in the time of constant duty or changing load, or when normal pressure operation or sliding pressure operation, be all correct, it provides a kind of effective means for the coordination between boiler and steam turbine.In DEB system, it is as the set-point of fuel-control unit.
Boiler master controller is using PS(P1/PT) vapour pressure ratio is multiplied by main steam pressure definite value as setting value, heat signal P1+(dPd/dt) as measured value, carry out PID computing and (introduce direct energy balance approach control, by non-linearity PID and the application of fuzzy control table technology), the signal forming by function curve using boiler assisted instruction and load instruction (LDCOUT), as feedforward, finally forms boiler master instruction (BMOUT).
Steam turbine master control
Steam turbine master controller is take load instruction (pressure divergence is made modified value) as setting value, a real power is that measured value carries out PID computing, the signal forming by function curve using pressure divergence and pressure set points variable quantity, as feedforward, finally forms steam turbine master control instruction (TUBOUT).
Optimal design explanation:
1, coordinated control system design proposal is direct energy balance approach control (DEB), and DEB control itself has voltage adjustment characteristic, and it uses heat signal indirectly to reflect fuel quantity, the pitch aperture of pressure ratio signal reflection steam turbine.But pressure ratio signal is also very sensitive to the reaction of signal noise in actual motion, will further amplify at the noise of signal after lead compensation, so must carry out effective filtering to energy demand.General digital filter has also been sacrificed the sensitivity of signal in overcoming noise.For the retardation signal not again of elimination noise effectively, we adopt limit filtration ALF(AmplitudeLimitingFilter in design) method.Amplitude for its noise of pressure ratio signal is more uniform, ALF is by setting a filtering amplitude based on signal average, form a noise filtering band that floats on signal, noise in filtering band amplitude is effectively overcome, and be greater than the true reflection of useful signal variable quantity acquisition of filtering band amplitude.It is very easily that the filtering amplitude of ALF is adjusted in engineering, just can determine this setting valve as long as record and measure the average amplitude of signal noise.(as Fig. 2)
In steam turbine master control, increase the feedforward of power instruction, the acceleration regulating action that it rose by be conducive to system overcome resuperheat unit reheater volume lag behind, further improved response speed.
2, the use of non-linearity PID
The output of conventional PID controllers is the linear combination of the proportion integration differentiation of deviation signal, therefore cannot solve the contradiction between rapidity and overshoot.In order to solve the contradiction between rapidity and overshoot, can adopt rational nonlinear characteristic.It is specific as follows:
As shown in Figure 7,
Figure 247189DEST_PATH_IMAGE003
Be called the PID control law of nonlinearity erron.
The principle of choosing nonlinear function f (x) is: compared with linearity, take larger control when little error, take less control when large error.Such nonlinear function has a lot, and what the design adopted is FAL function:
Figure 352286DEST_PATH_IMAGE004
Participate in pid algorithm module control with changed scale in boiler master figure, become integration control.
3, the application of fuzzy control rule table
In complicated nonlinear Control, adopt sometimes rule to control, need set up fuzzy control rule table.Although there is bivariate table module in the algorithmic block of some loose control system, is used in fuzzy control and will be subject to certain restrictions, as have plenty of the binary array algorithmic block of simple 5X5.Fuzzy control table regular partition grade is relevant with its control accuracy, and design adopts traditional functional blocks, adder block, handoff block algorithmic block to realize the fuzzy control rule table of any grade.As shown in Figure 4.
Introduce boiler regulator deviation, set up fuzzy control rule table, generate fuzzy control signal (BMPFCO).What realize is the fuzzy control rule table of 11X11, after deviation E obfuscation, after F (x) functional blocks, transfer 0 ~ 10 to, after deviation variation rate DE obfuscation, after F (x) functional blocks, transfer 1 ~ 11 to, pass through again formula 11*E+DE, required bivariate table is converted into 1 ~ 121 one dimension table.If desired the bivariate table of other grades, can according to said method analogize.
Due to the coupling of multiparameter, coordinated control system belongs to comparatively complicated feed-forward and feedback system.Although energy controller adopts PID control structure, but control and make a big difference with traditional PID, adopt nonlinear function NLFAL module in deviation processing, PID module adopts variable element pattern, and its integral element is divided into again and when the stable state of load instruction when unchanged becomes integrating network and load instruction variation, dynamically becomes integrating network.In load change process, suitably weaken integration by dynamic change integrating network., be cut to stable state and become integrating network while not changing at load, by deviation and deviation variation rate, the power of integral action is carried out fuzzyly from adjusting, to reach quick elimination deviation, and reduce the object of overshoot.
4, boiler assisted instruction (BIR)
By the use of gamma controller, the steady-state adjustment effect of main vapour pressure will improve.But the improvement of Dynamic Regulating Process needs to use instruction, feedforward adds boiler assisted instruction (BIR).In load alternation process, the different response time for air quantity, fuel, desuperheating water etc. to load variations, set up the different overshoot signals (BIR) such as air-supply, fuel, for the correction to dynamic response process.On the other hand, in order to supplement in time accumulation of heat, also must carry out appropriate overshoot to fuel, other parameter also has the overshoot adapting with it.By toning (when load rises) and less stress (the when load declines) effect of each boiler input instruction, accelerate boiler process control, improve the controllability of main vapour pressure and temperature.
Introduce boiler regulator deviation, set up fuzzy control rule table, generate fuzzy control signal (BMPFCO).What realize is the fuzzy control rule table of 11X11, after deviation E obfuscation, after F (x) functional blocks, transfer 0 ~ 10 to, after deviation variation rate DE obfuscation, after F (x) functional blocks, transfer 1 ~ 11 to, pass through again formula 11*E+DE, required bivariate table is converted into 1 ~ 121 one dimension table.If desired the bivariate table of other grades, can according to said method analogize.
Due to the coupling of multiparameter, coordinated control system belongs to comparatively complicated feed-forward and feedback system.Although energy controller adopts PID control structure, but control and make a big difference with traditional PID, adopt nonlinear function NLFAL module in deviation processing, PID module adopts variable element pattern, and its integral element is divided into again and when the stable state of load instruction when unchanged becomes integrating network and load instruction variation, dynamically becomes integrating network.In load change process, suitably weaken integration by dynamic change integrating network., be cut to stable state and become integrating network while not changing at load, by deviation and deviation variation rate, the power of integral action is carried out fuzzyly from adjusting, to reach quick elimination deviation, and reduce the object of overshoot.
4, boiler assisted instruction (BIR)
By the use of gamma controller, the steady-state adjustment effect of main vapour pressure will improve.But the improvement of Dynamic Regulating Process needs to use instruction, feedforward adds boiler assisted instruction (BIR).In load alternation process, the different response time for air quantity, fuel, desuperheating water etc. to load variations, set up the different overshoot signals (BIR) such as air-supply, fuel, for the correction to dynamic response process.On the other hand, in order to supplement in time accumulation of heat, also must carry out appropriate overshoot to fuel, other parameter also has the overshoot adapting with it.By toning (when load rises) and less stress (the when load declines) effect of each boiler input instruction, accelerate boiler process control, improve the controllability of main vapour pressure and temperature.
Finally it should be noted that: the foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, although the present invention is had been described in detail with reference to previous embodiment, for a person skilled in the art, its technical scheme that still can record aforementioned each embodiment is modified, or part technical characterictic is wherein equal to replacement.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.

Claims (2)

1. the control method for coordinating based on nonlinear Control and fuzzy control, it is characterized in that, the load instruction that load instruction to network control, operations staff the set selection of loading, after revising, as electric power command signal, described load selects to be divided into target load selection and load instruction is selected;
Be that setting value, generator power are that setting value is carried out PID computing by above-mentioned electric power command signal, and pass through the first function curve with pressure divergence and pressure set points variable quantity, it is the corresponding power correction curve of pressure divergence, when pressure divergence is large, by change of load instruction, carry out change of load, avoid pressure divergence to strengthen because of increasing and decreasing load, keeping system is stable, and the signal of formation, as feedforward, forms the master control instruction of steam turbine;
Be multiplied by main steam pressure value as setting value take vapour pressure ratio, heat signal is as measured value, carry out boiler master PID computing, pass through the second function curve with boiler assisted instruction and load instruction, the instruction of loading changes and directly changes boiler master instruction, rather than waits for that main vapour pressure changes and adjust boiler master instruction again, can improve boiler response speed, the signal forming, as feedforward, finally forms boiler master instruction;
According to the master control instruction of above-mentioned steam turbine and boiler master instruction, fired power generating unit is controlled;
Described PID computing is:
The selection principle of its nonlinear function f (e) is: compared with linearity, take larger control when little error, when large error, take less control, nonlinear function f (e) formula is as follows:
Wherein: e is input wire size; δ is the filtering factor of function wave filter, increases δ and can make filter effect improve, but carryover effects aggravation; α is constant, and value between 0 ~ 1 is worth littlely, follows the tracks of sooner, and filter effect is poorer.
2. the control method for coordinating based on nonlinear Control and fuzzy control according to claim 1, it is characterized in that, in described PID computing, adopt fuzzy control, deviation processing has adopted above-mentioned nonlinear function, its integral element is divided into and when the stable state of load instruction when unchanged becomes integrating network and load instruction variation, dynamically becomes integrating network, in load change process, pass through dynamically become integrating networksuitably weaken integration, in the time that load does not change, be cut to stable state and become integrating network, the power of integral action is carried out fuzzy from adjusting by deviation and deviation variation rate.
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CN112947609B (en) * 2021-01-27 2022-07-26 山东中实易通集团有限公司 Main steam pressure setting control strategy and system for sliding pressure operation unit
CN113064345B (en) * 2021-03-19 2022-06-17 西安热工研究院有限公司 System and method for controlling sliding pressure rate in auxiliary machine fault load reduction process
CN113515040B (en) * 2021-04-24 2022-06-17 西安热工研究院有限公司 Thermal power generation unit set self-adaptive coal type change coordination control system and method
CN113238589B (en) * 2021-04-25 2022-02-11 东南大学 Method for setting parameters of superheated steam temperature load feedforward controller
CN113325690B (en) * 2021-04-29 2022-11-11 华电电力科学研究院有限公司 Safety control method for main steam pressure abnormal working condition of thermal power generating unit coordinated control system
CN114000950B (en) * 2021-10-26 2023-03-24 华电浙江龙游热电有限公司 Control method and device for fuel speed ratio stop valve of heavy-duty gas turbine

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101131571A (en) * 2007-08-15 2008-02-27 华北电力大学 PID parameter setting method for monobloc generator group coordination and control system
CN101604148A (en) * 2009-07-06 2009-12-16 广东电网公司电力科学研究院 A kind of thermal power generation unit control method for coordinating and coordinated control system
CN101614998A (en) * 2008-06-27 2009-12-30 浙江省电力试验研究院 Coordinated control method of boiler-turbine direct instruction balance for thermoelectric generator

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101131571A (en) * 2007-08-15 2008-02-27 华北电力大学 PID parameter setting method for monobloc generator group coordination and control system
CN101614998A (en) * 2008-06-27 2009-12-30 浙江省电力试验研究院 Coordinated control method of boiler-turbine direct instruction balance for thermoelectric generator
CN101604148A (en) * 2009-07-06 2009-12-16 广东电网公司电力科学研究院 A kind of thermal power generation unit control method for coordinating and coordinated control system

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
《单元机组协调控制***的建模与控制优化研究》;任贵杰;《2011年北京交通大学硕士学位论文》;20111231;第3章-第5章 *
《单元机组智能协调控制***策略研究》;谢刚;《2002年太原理工大学硕士学位论文》;20021231;全文 *
任贵杰.《单元机组协调控制***的建模与控制优化研究》.《2011年北京交通大学硕士学位论文》.2011,第3章-第5章.
谢刚.《单元机组智能协调控制***策略研究》.《2002年太原理工大学硕士学位论文》.2002,全文.

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