CN108767870A - Integrated distributed self-adaption reactive voltage autocontrol method - Google Patents
Integrated distributed self-adaption reactive voltage autocontrol method Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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Abstract
The present invention relates to integrated distributed self-adaption reactive voltage autocontrol methods, including ground tune side Powerless voltage automatic control system AVC and more than one county's tune side Powerless voltage automatic control system AVC；When electricity grid network is normal, ground tune side AVC services centralized computing, unified decision；When system sectionalizing, model adaptation adjusts, the operation of each county's tune side AVC distributions, distributed decision making；When electricity grid network restores, control is synchronous with latch-up protection data intelligence, while adjusting side AVC services centralized computing, unified decision with restoring, and effectively improves the reliability of system；Wherein, the AVC of ground tune side is serviced with the AVC of county tune side and in such a way that sensitivity analysis is combined is carried out operation and decision using genetic algorithm.The present invention can ensure power grid security, efficient, stable operation, while improving rate of qualified voltage, reduce network loss, extend the electrical equipment service life, reduce regulation and control personnel labor intensity.
Description
Technical field
The present invention relates to power domain, especially a kind of integrated distributed self-adaption reactive voltage autocontrol method.
Background technology
Voltage is the important indicator of power quality, and quality of voltage uses guarantee the safe and economical operation of electric system
Family safety in production and product quality and the safety of electrical equipment have important influence with the service life.The reactive-load compensation of electric system with
Reactive balance is the primary condition for ensureing quality of voltage.Effective voltage control and rational reactive-load compensation, not only can guarantee electricity
Quality is pressed, and improves stability and the safety of Operation of Electric Systems, has given full play to economic benefit.
With the completion of state's entoilage county My Perspective On The Co-building, dispatching of power netwoks technology support system accesses plant stand scale burst and increases
Long, the pressure of monitoring personnel voltage and Reactive-power control is very big, therefore AVC's (Powerless voltage automatic control system) is reliable, steady
It is fixed, can be with most important.But current AVC systems integrate whole plant stands, it is possible to cause to work as individual plant stand topologys school
Test it is unsuccessful, cause entire AVC systems deactivate.Therefore, intelligent maintenance, High Availabitity under studying and developing a set of ground county integrally without
The wide area of work(voltage control strategy county's one distributed self-adaption intelligence Powerless voltage automatic control system it is very urgent.
Invention content
In view of this, the purpose of the present invention is to propose to a kind of integrated distributed self-adaption reactive voltage autocontrol method,
It can ensure power grid security, efficient, stable operation, while improve rate of qualified voltage, reduce network loss, extend the electrical equipment service life,
Reduce regulation and control personnel labor intensity.
The present invention is realized using following scheme：A kind of one distributed self-adaption reactive voltage autocontrol method, including
Ground tune side Powerless voltage automatic control system AVC and more than one county's tune side Powerless voltage automatic control system AVC；
When electricity grid network is normal, ground tune side AVC services centralized computing, unified decision；
When system sectionalizing, model adaptation adjusts, the operation of each county's tune side AVC distributions, distributed decision making；
When electricity grid network restores, control is synchronous with latch-up protection data intelligence, while adjusting with restoring in the AVC services sets of side
Operation, unified decision, effectively improve the reliability of system；
Wherein, the AVC of ground tune side is serviced using genetic algorithm with the AVC of county tune side in such a way that sensitivity analysis is combined
Carry out operation and decision.
Further, the plant stand for adjusting side AVC to be related to describedly includes plant stand, each county's tune plant stand and wind power plant under a bureau, to
Carry out voltage corrective control, Power Factor Correction Control and network loss optimal control；By changing controllable reactive power source in power grid
It contributes, the adjustment of the switching of reactive-load compensation equipment and load tap changer dispatches coordinating higher level and completes the layering of voltage power-less
Control.
Further, the plant stand that county's tune side AVC is related to includes the plant stand that this county's tune is administered, to carry out voltage school
Positive control, Power Factor Correction Control and network loss optimal control；By the output, the idle benefit that change controllable reactive power source in power grid
The adjustment of the switching and load tap changer of equipment is repaid to coordinate the hierarchical control that higher level dispatches completion voltage power-less.
Further, the AVC for adjusting side describedly and the AVC of county tune side are serviced and are mutually tied with sensitivity analysis using genetic algorithm
The mode of conjunction carries out decision, specifically includes following steps：
Step S1：Define original equipment：Selected from capacitance and main transformer all in out-of-limit critical point movable capacitance and
Main transformer；
Wherein, the alternative condition of capacitance is：It does not disable, participates in AVC controls, action frequency is no more than on day action frequency
Limit, in the reasonable scope, capacitance is more than the sensitivity of out-of-limit power factor the sensitivity threshold value of setting, capacitance to rated capacity
It is more than the sensitivity threshold value of setting to the sensitivity of out-of-limit monitoring point voltage；
Wherein, the alternative condition of main transformer is：It does not disable, participates in AVC controls, action frequency is no more than on day action frequency
Limit, tap joint position is reasonable, on-load voltage regulation, and main transformer is more than the sensitivity of out-of-limit power factor the sensitivity threshold value of setting,
Main transformer is more than the sensitivity of out-of-limit monitoring point voltage the sensitivity threshold value of setting；
Step S2：Initialization of population：Initial population is formed, population scale is set greater than the definite value of original equipment sum,
Movable capacitor switching state and main transformer current gear are as control variable；The method of initialization population is：Capacitance present is thrown
The initial value of state and main shift as an individual is cut, other each individuals only generate the variation of a control variable,
Remaining control variable is all identical as an individual, and the variation principle for controlling variable is that capacitance takes inverse state, main shift to take shelves
Random number in the upper and lower limits of position, main shift bound are that current gear lifts one grade respectively；
Step S3：Fitness function is set：
In formula, Fv is whole voltage out-of-limit penalty function values,For the out-of-limit penalty function value of critical point power factor；
In formula,For power factor, VimaxWith ViminRespectively voltage bound,WithRespectively work(
The bound of rate factor；
Wherein, if the scheme of adjustment voltage causes critical point power factor out-of-limit serious or new critical point power occurs
Factor is out-of-limit, and voltage out-of-limit penalty function value Fv increases by 100；If adjust work(because scheme caused by monitoring point voltage out-of-limit under critical point
It aggravates, the voltage in dead zone becomes out-of-limit, newly generates voltage out-of-limit, work(is because of penalty function valueIncrease by 100.
Step S4：In the individual inheritance to next-generation group for selecting fitness value minimum, and the fitness that individual will be corresponded to
Extreme value is assigned to global fitness extreme value；Then the iterative operation intersected successively, to make a variation, and again into calculating fitness value；
Wherein, the quality of crossover operator directly influences the convergence rate speed of genetic algorithm.The present invention is using improved
Crossover operator similarity method of adjustment decides whether to carry out intersection behaviour as crossover operator according to the similarity size between individual
Make, crossover operation process is：Often for each of population individual r1, there are the chance with other individual intersections, crossover probability to set
It is 1, random function generates the r2 individual, and the cross object for being determined as r1 is r2.Calculate the similarity s=l/ of individual r1 and r2
N, wherein l are the length of the public control variable string of longest of r1 and r2, the length of n variable strings in order to control.Provide threshold value P：0.5,
Only when two individual similarity s are less than P, the two individuals can just be intersected.Cross method is：It is handed over using multiple spot
Fork, it is random to determine crossover location d, if d is all after the capacitance state position of control variable string, the positions r1 and r2 d
Variable intersects；If all variables of the d before the main shift position of control variable string, the positions r1 and r2 d are mutual
Intersect.
Wherein, mutation operation does mutation operation using the method for automatic fuzzy adjustment, is conducive in the group after an iteration
Maximum adaptation angle value, minimum fitness value, average fitness value find out variation Adaptation factor H1, mutation probability are set according to H1
Threshold value Cr, random number determines the mutation probability p of capacitance, the mutation probability q of main shift, when p is less than Cr, makees the list of capacitance
Point variation does the single-point variation of main shift when q is less than Cr.
Step S5：Judge whether to meet end condition：Iterations are more than that preset value or adaptive optimal control angle value reach 0；If
Meet, then obtains optimum individual, enter step S6, otherwise return to step S1；
Step S6：The equipment of fitness value minimum is out of service, obtain optimum control scheme.
Further, in step S1,
Equipment uses following formula to the calculating of the sensitivity of out-of-limit power factor：
FOptCos=fk1 × ((cosmean-cosdes)2-(cosnew-cosdes)2)；
In formula, cosmeanIndicate current critical point power factor average value, cosnewCritical point power factor after expression equipment operation
Value：cosnew=cosmean+ deltacos, wherein deltacos indicates the variable quantity of power factor after equipment operation；cosdesTable
Show critical point power factor desired value：cosdes=cosdnlnt+fk5×(cosuplnt-cosdnlnt), fk5=(Pnow-minP)/
(maxP-minP)；Wherein, PnowIndicate that current the whole network active power, maxP indicate that the whole network is active in nearest three days historical datas
Maximum value, cosuplntIndicate the current critical point power factor upper limit；cosdnlntIndicate current critical point power factor lower limit；Fk1 work(
Rate factor index coefficient；
Equipment uses following formula to the calculating of the sensitivity of out-of-limit monitoring point voltage：
Wherein, fOptVsignal=fk2 × ((Vmean-Vdes)2-(Vnew-Vdes)2)；
In formula, Vnes=Vmean+ deltaV indicates the voltage value of monitoring point busbar after equipment operation；VmeanIndicate current prison
The average voltage of control point busbar, deltaV indicate that current monitor point busbar voltage variable quantity after equipment operation, nWpNum indicate
Monitoring point number under this critical point；Vdes=Vdnlnt+fk5×(Vuplnt-Vdnlnt), fk5=(Pnow- minP)/(maxP-minP),
PnowIndicate that current the whole network active power, maxP indicate that the maximum value that the whole network is active in nearest three days historical datas, minP indicate
The active minimum value of the whole network in nearest three days historical datas；Fk2 indicates power factor specification coefficient；VuplntIndicate current critical point
Upper voltage limit, VdnlntIndicate current critical point lower voltage limit；
Wherein equipment is capacitance or main transformer.
Preferably, sensitivity analysis to solve the problems, such as prevention and control, is divided according to the type of control device and capacity
Group calculates, wherein in view of the capacity of capacitor is bigger, and influence of the capacitor to power factor and network loss is with stronger
It is non-linear, the sensitivity analysis of capacitor is calculated using throwing/cutting one by one scanning；Main transformer is grouped only with liter or drop
Grouping scan calculate, while considering the synchronous adjustment of paired running transformer.
Preferably, the characteristics of in view of regional reactive power/voltage control, selection uses Sensitivity Analysis Method, according to control device
Type and capacity be grouped calculating, calculating speed can be improved, meet requirement of the system to speed.Sensitivity Analysis Method letter
Single, calculating speed is fast and convergence problem is not present, and meets the requirement of real-time of prevention and control.
Preferably, the invention also includes correction busbar voltage, correction critical point power factor and optimization network loss.
Wherein, the correction busbar voltage specifically includes following steps：
Step S21：Remove the last scheme generated；
Step S22：Check that participation AVC controls and working method are not the voltage out-of-limit situations of the plant stand exited；
Step S23：Out-of-limit monitoring point is found, and traverses all capacitors in this subsystem, reactor, magnetic control reactance
The transformer of device and our station and its higher level's plant stand, and availability inspection is carried out to above equipment；
Step S24：If there are available devices, out-of-limit equipment is caused after filtering out operation, and calculate the overall target of each equipment；
Otherwise it alarms；Wherein the calculating of overall target uses following formula：
FOptCoef=fOptCos+fOptV-fDeltaLoss+1/fFee；
In formula, fOptCos indicates that power factor specification value, fOptV are voltage indexes value, and fDeltaLoss is equipment operation
Network loss afterwards, fFee are the control expense of equipment；
Step S25：Overall target is carried out according to being ranked up from big to small, and generates correction voltage schemes, returns to step
Rapid S21.
Wherein, correction critical point power factor specifically includes following steps：
Step S31：All sub- critical points are traversed, out-of-limit critical point is found；
Step S32：Traverse all capacitors, reactor and the magnet controlled reactor in out-of-limit critical point；And judge above-mentioned set
Standby availability；
Step S33：If without available devices, alarm；Otherwise equipment out-of-limit after operating is filtered out, and calculates remaining
The overall target of equipment, and overall target is ranked up from big to small；
Step S34：If there is operable equipment, correction critical point power factor capacitance or reactance scheme are generated；Otherwise it selects
Capacitor, reactor or magnet controlled reactor that overall target ranks the first are selected, and lookup can form the change of combination operation with it
Depressor；
Step S35：From the transformation that can form combination operation with the capacitor, reactor or magnet controlled reactor to rank the first
Available transformer is found in device, generates correction critical point power factor assembled scheme；If available transformer cannot be found, reported
It is alert.
Wherein, the optimization network loss specifically includes following steps：
Step S41：All sub- critical points are traversed, and traverse all capacitors, reactor and magnet controlled reactor in critical point, and
Judge the availability of above equipment；
Step S42：If without available devices, return to step S41 is traversed again；Otherwise nonce is added in available devices
Group；
Step S43：Equipment out-of-limit after operating is filtered out, and calculates the overall target of remaining each equipment；If after filtering out operation
Without available devices after out-of-limit equipment, then return to step S41；Otherwise by overall target according to being ranked up from big to small；
Step S44：The maximum equipment of overall target is selected, optimization network loss scheme is generated.
Compared with prior art, the present invention has following advantageous effect：
1, for the present invention when electricity grid network is normal, ground tune side AVC services centralized computing, unified decision；When system sectionalizing
Model adaptation adjusts, each county's tune AVC distributions operation, distributed decision making；When electricity grid network restores, control and latch-up protection
Data intelligence synchronizes, and can effectively improve the reliability of system.
2, the present invention is using the system optimizing control based on sensitivity matrix analytic approach and the idle electricity based on genetic algorithm
The practical algorithm for pressing automatic control algorithm to be combined, intelligence switch, it is ensured that generate the feasible and high reactive voltage of availability certainly
Dynamic control strategy.
Description of the drawings
Fig. 1 is the system deployment schematic diagram of the embodiment of the present invention.
Fig. 2 is the method flow schematic diagram that the genetic algorithm in the embodiment of the present invention is combined with sensitivity analysis.
Fig. 3 is the correction busbar voltage flow diagram in the embodiment of the present invention.
Fig. 4 is the correction critical point power factor flow diagram in the embodiment of the present invention.
Fig. 5 is the flow diagram for optimizing network loss in the embodiment of the present invention.
Specific implementation mode
The present invention will be further described with reference to the accompanying drawings and embodiments.
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific implementation mode, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative
It is also intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or combination thereof.
As shown in Figure 1, a kind of integrated distributed self-adaption reactive voltage autocontrol method is present embodiments provided, including
Ground tune side Powerless voltage automatic control system AVC and more than one county's tune side Powerless voltage automatic control system AVC；
When electricity grid network is normal, ground tune side AVC services centralized computing, unified decision；
When system sectionalizing, model adaptation adjusts, the operation of each county's tune side AVC distributions, distributed decision making；
When electricity grid network restores, control is synchronous with latch-up protection data intelligence, while adjusting with restoring in the AVC services sets of side
Operation, unified decision, effectively improve the reliability of system；
Wherein, the AVC of ground tune side is serviced using genetic algorithm with the AVC of county tune side in such a way that sensitivity analysis is combined
Carry out operation and decision.
In the present embodiment, the plant stand for adjusting side AVC to be related to describedly includes plant stand, each county's tune plant stand and wind power plant under a bureau,
To carry out voltage corrective control, Power Factor Correction Control and network loss optimal control；By changing controllable idle electricity in power grid
The adjustment of the output in source, the switching of reactive-load compensation equipment and load tap changer dispatches completion voltage power-less to coordinate higher level
Hierarchical control.
In the present embodiment, the plant stand that county's tune side AVC is related to includes the plant stand that this county's tune is administered, to carry out electricity
Press Corrective control, Power Factor Correction Control and network loss optimal control；By the output, the nothing that change controllable reactive power source in power grid
The switching of work(compensation equipment and adjusting to coordinate the hierarchical control that higher level dispatches completion voltage power-less for load tap changer.
As shown in Fig. 2, in the present embodiment, adjust describedly the AVC services of the AVC of side and county tune side using genetic algorithm with
The mode that sensitivity analysis is combined carries out decision, specifically includes following steps：
Step S1：Define original equipment：Selected from capacitance and main transformer all in out-of-limit critical point movable capacitance and
Main transformer；
Wherein, the alternative condition of capacitance is：It does not disable, participates in AVC controls, action frequency is no more than on day action frequency
Limit, in the reasonable scope, capacitance is more than the sensitivity of out-of-limit power factor the sensitivity threshold value of setting, capacitance to rated capacity
It is more than the sensitivity threshold value of setting to the sensitivity of out-of-limit monitoring point voltage；
Wherein, the alternative condition of main transformer is：It does not disable, participates in AVC controls, action frequency is no more than on day action frequency
Limit, tap joint position is reasonable, on-load voltage regulation, and main transformer is more than the sensitivity of out-of-limit power factor the sensitivity threshold value of setting,
Main transformer is more than the sensitivity of out-of-limit monitoring point voltage the sensitivity threshold value of setting；
Step S2：Initialization of population：Initial population is formed, population scale is set greater than the definite value of original equipment sum,
Movable capacitor switching state and main transformer current gear are as control variable；The method of initialization population is：Capacitance present is thrown
The initial value of state and main shift as an individual is cut, other each individuals only generate the variation of a control variable,
Remaining control variable is all identical as an individual, and the variation principle for controlling variable is that capacitance takes inverse state, main shift to take shelves
Random number in the upper and lower limits of position, main shift bound are that current gear lifts one grade respectively；
Step S3：Fitness function is set：
In formula, Fv is whole voltage out-of-limit penalty function values,For the out-of-limit penalty function value of critical point power factor；
In formula,For power factor, VimaxWith ViminRespectively voltage bound,WithRespectively
The bound of power factor；
Wherein, if the scheme of adjustment voltage causes critical point power factor out-of-limit serious or new critical point power occurs
Factor is out-of-limit, and voltage out-of-limit penalty function value Fv increases by 100；If adjust work(because scheme caused by monitoring point voltage out-of-limit under critical point
It aggravates, the voltage in dead zone becomes out-of-limit, newly generates voltage out-of-limit, work(is because of penalty function valueIncrease by 100.
Step S4：In the individual inheritance to next-generation group for selecting fitness value minimum, and the fitness that individual will be corresponded to
Extreme value is assigned to global fitness extreme value；Then the iterative operation intersected successively, to make a variation, and again into calculating fitness value；
Wherein, the quality of crossover operator directly influences the convergence rate speed of genetic algorithm.The present invention is using improved
Crossover operator similarity method of adjustment decides whether to carry out intersection behaviour as crossover operator according to the similarity size between individual
Make, crossover operation process is：Often for each of population individual r1, there are the chance with other individual intersections, crossover probability to set
It is 1, random function generates the r2 individual, and the cross object for being determined as r1 is r2.Calculate the similarity s=l/ of individual r1 and r2
N, wherein l are the length of the public control variable string of longest of r1 and r2, the length of n variable strings in order to control.Provide threshold value P：0.5,
Only when two individual similarity s are less than P, the two individuals can just be intersected.Cross method is：It is handed over using multiple spot
Fork, it is random to determine crossover location d, if d is all after the capacitance state position of control variable string, the positions r1 and r2 d
Variable intersects；If all variables of the d before the main shift position of control variable string, the positions r1 and r2 d are mutual
Intersect.
Wherein, mutation operation does mutation operation using the method for automatic fuzzy adjustment, is conducive in the group after an iteration
Maximum adaptation angle value, minimum fitness value, average fitness value find out variation Adaptation factor H1, mutation probability are set according to H1
Threshold value Cr, random number determines the mutation probability p of capacitance, the mutation probability q of main shift, when p is less than Cr, makees the list of capacitance
Point variation does the single-point variation of main shift when q is less than Cr.
Step S5：Judge whether to meet end condition：Iterations are more than that preset value or adaptive optimal control angle value reach 0；If
Meet, then obtains optimum individual, enter step S6, otherwise return to step S1；
Step S6：The equipment of fitness value minimum is out of service, obtain optimum control scheme.
Further, in step S1,
Equipment uses following formula to the calculating of the sensitivity of out-of-limit power factor：
FOptCos=fk1 × ((cosmean-cosdes)2-(cosnew-cosdes)2)；
In formula, cosmeanIndicate current critical point power factor average value, cosnewCritical point power factor after expression equipment operation
Value：cosnew=cosmean+ deltacos, wherein deltacos indicates the variable quantity of power factor after equipment operation；cosdesTable
Show critical point power factor desired value：cosdes=cosdnlnt+fk5×(cosuplnt-cosdnlnt), fk5=(Pnow-minP)/
(maxP-minP)；Wherein, PnowIndicate that current the whole network active power, maxP indicate that the whole network is active in nearest three days historical datas
Maximum value, cosuplntIndicate the current critical point power factor upper limit；cosdnlntIndicate current critical point power factor lower limit；Fk1 work(
Rate factor index coefficient；
Equipment uses following formula to the calculating of the sensitivity of out-of-limit monitoring point voltage：
Wherein, fOptVsignal=fk2 × ((Vmean-Vdes)2-(Vnew-Vdes)2)；
In formula, Vnes=Vmean+ deltaV indicates the voltage value of monitoring point busbar after equipment operation；VmeanIndicate current prison
The average voltage of control point busbar, deltaV indicate that current monitor point busbar voltage variable quantity after equipment operation, nWpNum indicate
Monitoring point number under this critical point；Vdes=Vdnlnt+fk5×(Vuplnt-Vdnlnt), fk5=(Pnow- minP)/(maxP-minP),
PnowIndicate that current the whole network active power, maxP indicate that the maximum value that the whole network is active in nearest three days historical datas, minP indicate
The active minimum value of the whole network in nearest three days historical datas；Fk2 indicates power factor specification coefficient；VuplntIndicate current critical point
Upper voltage limit, VdnlntIndicate current critical point lower voltage limit；
Wherein equipment is capacitance or main transformer.
Preferably, in the present embodiment, sensitivity analysis is to solve the problems, such as prevention and control, according to the type of control device
It is grouped calculating with capacity, wherein in view of the capacity of capacitor is bigger, and capacitor is to the shadow of power factor and network loss
Ringing has stronger non-linear, is calculated using throwing/cutting one by one scanning the sensitivity analysis of capacitor；Main transformer is grouped
It is calculated only with the Grouping scan for rising or dropping, while considering the synchronous adjustment of paired running transformer.
Preferably, in the present embodiment, it is contemplated that the characteristics of regional reactive power/voltage control, selection uses sensitivity analysis
Method is grouped calculating according to the type of control device and capacity, calculating speed can be improved, meets requirement of the system to speed.
Sensitivity Analysis Method is simple, and calculating speed is fast and convergence problem is not present, and meets the requirement of real-time of prevention and control.
Preferably, the present embodiment further includes correction busbar voltage, correction critical point power factor and optimization network loss.
Wherein, as shown in figure 3, the correction busbar voltage specifically includes following steps：
Step S21：Remove the last scheme generated；
Step S22：Check that participation AVC controls and working method are not the voltage out-of-limit situations of the plant stand exited；
Step S23：Out-of-limit monitoring point is found, and traverses all capacitors in this subsystem, reactor, magnetic control reactance
The transformer of device and our station and its higher level's plant stand, and availability inspection is carried out to above equipment；
Step S24：If there are available devices, out-of-limit equipment is caused after filtering out operation, and calculate the overall target of each equipment；
Otherwise it alarms；Wherein the calculating of overall target uses following formula：
FOptCoef=fOptCos+fOptV-fDeltaLoss+1/fFee；
In formula, fOptCos indicates that power factor specification value, fOptV are voltage indexes value, and fDeltaLoss is equipment operation
Network loss afterwards, fFee are the control expense of equipment；
Step S25：Overall target is carried out according to being ranked up from big to small, and generates correction voltage schemes, returns to step
Rapid S21.
Wherein, as shown in figure 4, correction critical point power factor specifically includes following steps：
Step S31：All sub- critical points are traversed, out-of-limit critical point is found；
Step S32：Traverse all capacitors, reactor and the magnet controlled reactor in out-of-limit critical point；And judge above-mentioned set
Standby availability；
Step S33：If without available devices, alarm；Otherwise equipment out-of-limit after operating is filtered out, and calculates remaining
The overall target of equipment, and overall target is ranked up from big to small；
Step S34：If there is operable equipment, correction critical point power factor capacitance or reactance scheme are generated；Otherwise it selects
Capacitor, reactor or magnet controlled reactor that overall target ranks the first are selected, and lookup can form the change of combination operation with it
Depressor；
Step S35：From the transformation that can form combination operation with the capacitor, reactor or magnet controlled reactor to rank the first
Available transformer is found in device, generates correction critical point power factor assembled scheme；If available transformer cannot be found, reported
It is alert.
Wherein, as shown in figure 5, the optimization network loss specifically includes following steps：
Step S41：All sub- critical points are traversed, and traverse all capacitors, reactor and magnet controlled reactor in critical point, and
Judge the availability of above equipment；
Step S42：If without available devices, return to step S41 is traversed again；Otherwise nonce is added in available devices
Group；
Step S43：Equipment out-of-limit after operating is filtered out, and calculates the overall target of remaining each equipment；If after filtering out operation
Without available devices after out-of-limit equipment, then return to step S41；Otherwise by overall target according to being ranked up from big to small；
Step S44：The maximum equipment of overall target is selected, optimization network loss scheme is generated
The foregoing is merely presently preferred embodiments of the present invention, all equivalent changes done according to scope of the present invention patent with
Modification should all belong to the covering scope of the present invention.
Claims (6)
1. a kind of one distributed self-adaption reactive voltage autocontrol method, it is characterised in that：Including ground tune side reactive voltage
Automatic control system AVC and more than one county's tune side Powerless voltage automatic control system AVC；
When electricity grid network is normal, ground tune side AVC services centralized computing, unified decision；
When system sectionalizing, model adaptation adjusts, the operation of each county's tune side AVC distributions, distributed decision making；
When electricity grid network restores, control is synchronous with latch-up protection data intelligence, while adjusting with restoring and being transported in the AVC services sets of side
It calculates, unified decision, effectively improves the reliability of system；
Wherein, the AVC of ground tune side is serviced with the AVC of county tune side and is carried out in such a way that sensitivity analysis is combined using genetic algorithm
Operation and decision.
2. a kind of integrated distributed self-adaption reactive voltage autocontrol method according to claim 1, it is characterised in that：
It includes plant stand, each county's tune plant stand and wind power plant under a bureau to adjust the plant stand that side AVC is related to describedly, to carry out voltage corrective control,
Power Factor Correction Control and network loss optimal control；By changing the output of controllable reactive power source, reactive-load compensation equipment in power grid
Switching and load tap changer adjustment come coordinate higher level dispatch complete voltage power-less hierarchical control.
3. a kind of integrated distributed self-adaption reactive voltage autocontrol method according to claim 1, it is characterised in that：
The plant stand that county's tune side AVC is related to includes the plant stand that this county's tune is administered, to carry out voltage corrective control, power factor school
Positive control and network loss optimal control；By change the controllable output of reactive power source in power grid, the switching of reactive-load compensation equipment and
Load tap changer adjusts to coordinate the hierarchical control that higher level dispatches completion voltage power-less.
4. a kind of integrated distributed self-adaption reactive voltage autocontrol method according to claim 1, it is characterised in that：
It adjusts the AVC of side to be serviced using genetic algorithm with the AVC of county tune side describedly and carries out decision in such a way that sensitivity analysis is combined,
Specifically include following steps：
Step S1：Define original equipment：Movable capacitance and main transformer are selected from capacitance and main transformer all in out-of-limit critical point；
Wherein, the alternative condition of capacitance is：It does not disable, participates in AVC controls, action frequency is no more than the day action frequency upper limit, volume
In the reasonable scope, capacitance is more than the sensitivity of out-of-limit power factor the sensitivity threshold value of setting to constant volume, and capacitance is to more
The sensitivity for limiting monitoring point voltage is more than the sensitivity threshold value of setting；
Wherein, the alternative condition of main transformer is：It not disabling, participates in AVC controls, action frequency is no more than the day action frequency upper limit, point
Joint location is reasonable, on-load voltage regulation, and main transformer is more than the sensitivity of out-of-limit power factor the sensitivity threshold value of setting, main transformer pair
The sensitivity of out-of-limit monitoring point voltage is more than the sensitivity threshold value of setting；
Step S2：Initialization of population：Initial population is formed, population scale is set greater than the definite value of original equipment sum, movably
The capacitor switching state and main transformer current gear of work are as control variable；The method of initialization population is：Capacitance present switching shape
The initial value of state and main shift as an individual, other each individuals only generate the variation of a control variable, remaining control
Variable processed is all identical as an individual, and the variation principle for controlling variable is that capacitance takes inverse state, main shift to take on gear
Random number in lower range, main shift bound are that current gear lifts one grade respectively；
Step S3：Fitness function is set：
In formula, Fv is whole voltage out-of-limit penalty function values,For the out-of-limit penalty function value of critical point power factor；
In formula,For power factor, VimaxWith ViminRespectively voltage bound,WithRespectively power because
Several bounds；
Step S4：In the individual inheritance to next-generation group for selecting fitness value minimum, and the fitness extreme value that individual will be corresponded to
It is assigned to global fitness extreme value；Then the iterative operation intersected successively, to make a variation, and recalculate fitness value；
Step S5：Judge whether to meet end condition：Iterations are more than that preset value or adaptive optimal control angle value reach 0；If satisfied,
Optimum individual is then obtained, enters step S6, otherwise return to step S1；
Step S6：The equipment of fitness value minimum is out of service, obtain optimum control scheme.
5. a kind of integrated distributed self-adaption reactive voltage autocontrol method according to claim 4, it is characterised in that：
The sensitivity analysis of capacitor is calculated using throwing/cutting one by one scanning；Main transformer is grouped only with the grouping for rising or dropping
Scanning calculates, while considering the synchronous adjustment of paired running transformer.
6. a kind of integrated distributed self-adaption reactive voltage autocontrol method according to claim 4, it is characterised in that：
In step S1,
Equipment uses following formula to the calculating of the sensitivity of out-of-limit power factor：
FOptCos=fk1 × ((cosmean-cosdes)2-(cosnew-cosdes)2)；
In formula, cosmeanIndicate current critical point power factor average value, cosnewCritical point power factor value after expression equipment operation：
cosnew=cosmean+ deltacos, wherein deltacos indicates the variable quantity of power factor after equipment operation；cosdesIt indicates
Critical point power factor desired value：cosdes=cosdnlnt+fk5×(cosuplnt-cosdnlnt), fk5=(Pnow-minP)/(maxP-
minP)；Wherein, PnowIndicate that current the whole network active power, maxP indicate the maximum that the whole network is active in nearest three days historical datas
Value, cosuplntIndicate the current critical point power factor upper limit；cosdnlntIndicate current critical point power factor lower limit；Fk1 power factors
Index coefficient；
Equipment uses following formula to the calculating of the sensitivity of out-of-limit monitoring point voltage：
Wherein, fOptVsignal=fk2 × ((Vmean-Vdes)2-(Vnew-Vdes)2)；
In formula, Vnes=Vmean+ deltaV indicates the voltage value of monitoring point busbar after equipment operation；VmeanIndicate current monitor point
The average voltage of busbar, deltaV indicate that current monitor point busbar voltage variable quantity after equipment operation, nWpNum indicate this pass
Monitoring point number under mouthful；Vdes=Vdnlnt+fk5×(Vuplnt-Vdnlnt), fk5=(Pnow- minP)/(maxP-minP), PnowTable
Show that current the whole network active power, maxP indicate that the maximum value that the whole network is active in nearest three days historical datas, minP indicate nearest
The active minimum value of the whole network in three days historical datas；Fk2 indicates power factor specification coefficient；VuplntIndicate current critical point voltage
The upper limit, VdnlntIndicate current critical point lower voltage limit；
Wherein equipment is capacitance or main transformer.
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