CN108199391B - A kind of control method for coordinating of generator UEL and PSS - Google Patents

A kind of control method for coordinating of generator UEL and PSS Download PDF

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CN108199391B
CN108199391B CN201810024418.4A CN201810024418A CN108199391B CN 108199391 B CN108199391 B CN 108199391B CN 201810024418 A CN201810024418 A CN 201810024418A CN 108199391 B CN108199391 B CN 108199391B
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uel
pss
value
objective function
state matrix
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CN108199391A (en
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周鑫
和鹏
何鑫
覃日升
李俊鹏
刘明群
李胜男
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Electric Power Research Institute of Yunnan Power System Ltd
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Electric Power Research Institute of Yunnan Power System Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24Arrangements for preventing or reducing oscillations of power in networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

Abstract

The present invention provides the control method for coordinating of generator UEL and PSS a kind of, and this method determines the state matrix of excitation system by PSS model and UEL model foundation Heffron-Philips extended model.On the basis of particle swarm algorithm, objective function is established to take into account the damping characteristic of electromechanic oscillation mode and non-electromechanic oscillation mode, and under conditions of the characteristic value for the state matrix being calculated and corresponding damping ratio, reasonable UEL parameter can be adjusted out.Meanwhile after UEL is added in the excitation system containing PSS, the damping of system is had no effect on, UEL and PSS cooperation are made, ensure that the stability of system.UEL Weakened System damping effect with UEL restrictive curve slope K u and intercept | C | increase and be remarkably reinforced, system is that stability is poorer.

Description

A kind of control method for coordinating of generator UEL and PSS
Technical field
The present invention relates to technical field of generators more particularly to a kind of control method for coordinating of generator UEL and PSS.
Background technique
Generator is by the energy conversion of other forms be electric energy mechanical equipment.The rule of generator construction is to adopt The magnetic circuit and circuit for mutually carrying out electromagnetic induction are constituted with magnetic conduction appropriate and conductive material, to generate electromagnetic power, are reached and are turned The purpose in transducing source.Since generator is the equipment for being converted to electric energy, thus the stable operation of generator is concerning user power utilization Stability and safety.
Generator not only provides active power to electric system in normal course of operation, but also provides reactive power. With the continuous expansion of electric system grid structure, it is often necessary to Generation in Leading Phase Operation, to absorb electric system surplus Reactive power.When Generation in Leading Phase Operation, exciting current is greatly lowered, and generator rotor angle increases, so that generator, which is in low, encourages fortune Row state, and easily exceed the current range of generator stable operation.To guarantee generator under certain steady stability nargin Stable operation, the AVR (Chinese: automatic voltage regulator as exciter control system;Full name in English: automatic Voltage regulator) it is commonly configured with UEL (Chinese: low to encourage limitation;Full name in English: under excitation Limiter), so that generator is under certain active power, the stagnant phase of reactive power is lower than a certain value or into mutually greater than a certain value When, an adjustment signal for increasing set end voltage is exported in AVR comprehensive magnification circuit, so that excitation increases.
PSS (Chinese: power system stabilizer, PSS;Full name in English: power system stabilizer) it is in AVR A kind of additional excitation control device inhibiting active concussion.The main function of PSS to provide an additional control signals to AVR, Positive additional damping torque is generated, to provide the damping capacity of generator and electric system, power oscillation damping.Work as generator UEL act after, if the parameter tuning of UEL is unreasonable, UEL and more times of PSS mutually switching can be made, in turn resulted in defeated Entry/exit conflicts deteriorate the function and effect of PSS, cause systems stay concussion, it is unstable in turn result in system.
To avoid the occurrence of the above problem, then coordinated control should be carried out to UEL and PSS.Currently, UEL and PSS coordinated control Method is analyzed by the Influencing Mechanism for influencing stability of power system to UEL, to provide UEL and PSS coordinated control When UEL parameter area.However, this method does not account for practical UEL and the optimization of parameter when PSS coordinated control, into And it cannot be accurately obtained UEL and UEL parameter when PSS cooperation, thus it is not suitable for the parameter processing to specific failure, and It is unable to precise coordination control UEL and PSS.
Summary of the invention
The present invention provides the control method for coordinating of generator UEL and PSS a kind of, to solve existing UEL and PSS coordinated control Method is unable to the problem of precise coordination control UEL and PSS.
The present invention provides the control method for coordinating of generator UEL and PSS a kind of, which comprises
According to PSS model and UEL model foundation Heffron-Philips extended model;
State matrix is determined according to the Heffron-Philips extended model;
The objective function under the various working method of operation is established according to the state matrix, the objective function takes into account electromechanics Concussion mode and non-electromechanical concussion mode;
The state matrix is updated using particle swarm algorithm, and calculates the characteristic value and damping of updated state matrix Than;
According to influence of the restrictive curve parameter to system stability in UEL model described in the Eigenvalues analysis, determine The value of the UEL model parameter.
Preferably, updating the state matrix using particle swarm algorithm includes:
Speed and the position of population are determined according to particle swarm algorithm;
Initialize speed and the position of the population;
Determine K in state matrixH、TH1And TH2Value;
According to the KH、TH1And TH2Value calculate the numerical value of the objective function;
The desired positions pbest and kind of the particle in speed calculation formula are calculated according to the numerical value of the objective function The desired positions gbest of group;
The v of each particle is recalculated according to the desired positions pbest and the desired positions gbestid(k) and xid (k);
Judge whether the objective function restrains, if the objective function is restrained, it is determined that the K in calculating processH、TH1With TH2Value be optimal value;If the objective function is not restrained, the mode iterated to calculate updates K in the state matrixH、TH1With TH2Value, until the objective function restrain;
According to the KH、TH1And TH2Optimal value the characteristic value and damping ratio of the state matrix is calculated.
Preferably, the UEL model includes UEL restrictive curve module and UEL controlling unit module, wherein
The transmission function formula of the UEL restrictive curve module are as follows:Wherein, PtFor active power, KuIt is respectively the slope and intercept of UEL restrictive curve, U with CtFor set end voltage;
The transmission function formula of the UEL controlling unit module are as follows: GUEL(s)=KH(1+sTH1)/(1+sTH2);Wherein, KH For amplification factor, TH1With TH2For the time constant of UEL, s is laplace transform.
Preferably, the calculation formula of the objective function are as follows:
Wherein, N is different operating condition numbers, npFor Electromechanic oscillation mode number, nqFor non-electromechanic oscillation mode number, ξ1And ξ2Respectively electromechanical concussion mode and non-electromechanical concussion mould The threshold value of formula damping ratio, ξijFor the damping ratio of j-th of oscillation mode under i-th kind of operation conditions, α and β are respectively corresponding power Weight coefficient, γ are the penalty factor to negative damping oscillation mode.
Preferably, the operating condition includes that system is added without that PSS is only added in UEL and PSS, system and system is added UEL and PSS.
The technical solution that the embodiment of the present invention provides can include the following benefits:
The present invention provides the control method for coordinating of generator UEL and PSS a kind of, and this method passes through PSS model and UEL model Heffron-Philips extended model is established, and then determines the state matrix of excitation system.On the basis of particle swarm algorithm, Objective function is established to take into account the damping characteristic of electromechanic oscillation mode and non-electromechanic oscillation mode, and in the state square being calculated Under conditions of the characteristic value and corresponding damping ratio of battle array, reasonable UEL parameter can be adjusted out.Meanwhile when encouraging containing PSS After UEL is added in magnetic system, the damping of system is had no effect on, UEL and PSS cooperation are made, ensure that the stability of system.UEL Weakened System damping effect with UEL restrictive curve slope K u and intercept | C | increase and be remarkably reinforced, system is stable Property is poorer.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not It can the limitation present invention.
Detailed description of the invention
In order to illustrate more clearly of the technical solution of the application, letter will be made to attached drawing needed in the embodiment below Singly introduce, it should be apparent that, for those of ordinary skills, without any creative labor, It is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow diagram of the control method for coordinating of generator UEL and PSS provided in an embodiment of the present invention;
Fig. 2 is the electrical block diagram of UEL model provided in an embodiment of the present invention;
Fig. 3 is the electrical block diagram of PSS model provided in an embodiment of the present invention;
Fig. 4 is the electrical block diagram of Heffron-Philips extended model provided in an embodiment of the present invention;
Fig. 5 is Longma hydroelectric power plant provided in an embodiment of the present invention main wiring diagram;
Fig. 6 is, in no PSS and UEL, to only have PSS in Longma hydroelectric power plant provided in an embodiment of the present invention and have PSS simultaneously With the when m- active power relational graph in the case of UEL;
Fig. 7 is, in no PSS and UEL, to only have PSS in Longma hydroelectric power plant provided in an embodiment of the present invention and have PSS simultaneously With the when m- reactive power relational graph in the case of UEL;
Fig. 8 is, in no PSS and UEL, to only have PSS in Longma hydroelectric power plant provided in an embodiment of the present invention and have PSS simultaneously With the when m- set end voltage relational graph in the case of UEL;
Fig. 9 is, in no PSS and UEL, to only have PSS in Longma hydroelectric power plant provided in an embodiment of the present invention and have PSS simultaneously With the when m- generator rotor angle relational graph in the case of UEL;
Figure 10 is the when m- active power in Longma hydroelectric power plant provided in an embodiment of the present invention, under the different UEL slopes of curve Relational graph;
Figure 11 is the when m- reactive power in Longma hydroelectric power plant provided in an embodiment of the present invention, under the different UEL slopes of curve Relational graph;
Figure 12 is the when m- set end voltage in Longma hydroelectric power plant provided in an embodiment of the present invention, under the different UEL slopes of curve Relational graph;
Figure 13 is the when m- generator rotor angle relationship in Longma hydroelectric power plant provided in an embodiment of the present invention, under the different UEL slopes of curve Figure.
Specific embodiment
Attached drawing 1 is please referred to, attached drawing 1 shows the control method for coordinating of generator UEL and PSS provided in an embodiment of the present invention Flow diagram.
By attached drawing 1 it is found that the embodiment of the present invention provides the control method for coordinating of generator UEL and PSS a kind of, the coordination control Method processed includes:
Step S01: according to PSS model and UEL model foundation Heffron-Philips extended model.
In embodiments of the present invention, UEL model is using linear type model usually used at present.It is two modules that UEL, which is divided to, That is UEL restrictive curve module and UEL controlling unit module.UEL restrictive curve module is to guarantee that generator is transported in safe range Capable UEL restrictive curve part, as shown in Fig. 2.The transmission function of UEL restrictive curve part uses Form indicate, wherein PtFor active power, KuIt is respectively the slope and intercept of UEL restrictive curve with C, Δ S is output quantity, QVRFor reactive power, UtFor set end voltage.
UEL controlling unit module is to adjust the UEL controlling unit of UEL dynamic, and the transmission function of UEL uses GUEL(s)= KH(1+sTH1)/(1+sTH2) form indicate, wherein KHFor amplification factor, TH1With TH2For the time constant of UEL, GUELFor The representation method of UEL transmission function, s are laplace transform.
PSS model use at present it is usually used using electromagnetic power as the PSS1A model of input signal, specifically please refer to attached Fig. 3.It is established based on PSS model and UEL model according to present existing method for establishing model and contains PSS's and UEL Heffron-Philips extended model, as shown in Fig. 4.
Step S02: state matrix is determined according to Heffron-Philips extended model.
According to state matrix derivation formula existing in electric system, based on Heffron-Philips extended model Determine the state matrix of electric system.
Step S03: the objective function under the various working method of operation is established according to state matrix.
The objective function under the various working method of operation is established according to state matrix, which can be in various working Under take into account electromechanical concussion mode and non-electromechanical concussion mode.
The specific formula of the objective function are as follows:Its In, N is different operating condition numbers, npFor electromechanic oscillation mode number, nqFor non-electromechanic oscillation mode number, ξ1And ξ2Respectively machine The threshold value of mode and non-electromechanical concussion mode damping ratio, ξ are swung in electroshockijFor the resistance of j-th of oscillation mode under i-th kind of operation conditions Buddhist nun's ratio, α and β are respectively corresponding weight coefficient, and γ is the penalty factor to negative damping oscillation mode.In the embodiment of the present invention In, ξ1And ξ2Distinguish preferably 0.1 and 0.08, then corresponding α and β difference preferably 4 and 1, γ preferably 300.
In embodiments of the present invention, various working includes that excitation system is added without UEL and PSS, excitation system is only added Tri- kinds of operating conditions of UEL and PSS are added in PSS and excitation system.
Step S04: the state matrix is updated using particle swarm algorithm, and calculates the characteristic value of updated state matrix And damping ratio.
The thought of particle swarm algorithm is derived from the research to flock of birds predation.PSO algorithm (full name in English: Particle Swarm Optimization, Chinese name: particle swarm algorithm) mathematical description it is as follows:
In D dimension space, there is N number of particle.The current location of i-th of particle is by vector Xi=(xi1, xi2... xiD) indicate, By XiSubstitute into fitness function f (Xi) seek adaptive value.The present speed of i-th of particle is by vector Vi=(vi1, vi2... viD) indicate. The desired positions that i-th of particle lives through are by vector pbesti=(pi1, pi2... piD) indicate.Population desired positions experienced By vector gbest=(g1, g1... gD) indicate.The change in location of each particle clicks formula progress:
vid(k)=wvid(k-1)+c1r1[pbestid-xid(k-1)]+c2r2[gbestid-xid(k-1)];
xid(k)=xid(k-1)+vid(k-1);
Wherein, vid(k) indicate that the d of kth time iteration particle i velocity vector ties up component;xid(k) kth time iteration grain is indicated The d of sub- i position vector ties up component;W is inertia weight, adjusts the search range to solution space;c1, c2For acceleration constant, adjust Section study maximum step-length, value is generally between 0-2.r1, r2For two mutually independent random functions, value range be 0-1 it Between.
Particle swarm algorithm has algorithmic rule simple, easy to accomplish, relatively wider in engineer application;Fast convergence rate has Many measures can be to avoid falling into local optimum;Objective function realizes the advantages that being easy and is higher to optimization aim sensitivity, It is the conventional means for solving Global Optimal Problem.Thus in embodiments of the present invention, satisfaction is calculated using particle swarm algorithm The UEL parameter of UEL and PSS coordinated control.
During the UEL parameter for meeting UEL and PSS coordinated control is calculated using particle swarm algorithm, need not It is disconnected to update K in state matrixH、TH1And TH2Value, and then obtain the characteristic value and damping ratio of state matrix.
Specifically, speed and the position of population S041: are determined according to particle swarm algorithm.
The speed v of population is determined according to above-mentioned particle swarm algorithmid(k) and position xid(k)。
S042: speed and the position of the population are initialized.
To vid(k) and xid(k) speed and position arrow of the d dimension component of kth time iteration particle i velocity vector are indicated The position of the d dimension component of amount is initialized, and then particle is set in a starting point.
S043: K in state matrix is determinedH、TH1And TH2Value.
S044: according to determining KH、TH1And TH2Value calculating target function numerical value, and the objective function that will be calculated Numerical value is as fitness;
S045: pbest and gbest are calculated according to the numerical value of the objective function.
S046: pbest and gbest obtained by calculation recalculate the v of each particleid(k) and xid(k)。
S047: judging whether objective function restrains, if objective function is restrained, it is determined that the K in the calculating processH、TH1With TH2Value be optimal value.If objective function is not restrained, the mode iterated to calculate updates K in state matrixH、TH1And TH2Value, Until objective function is restrained.
S048: according to determining KH、TH1And TH2Optimal value the characteristic value and damping ratio of state matrix is calculated.
Step S05: according to the restrictive curve parameter in UEL model described in the Eigenvalues analysis to the shadow of system stability It rings, determines the value of the UEL model parameter.
It can determine according to the characteristic value and damping ratio that are determined in the frequency of oscillation of excitation system, step S04 and currently encourage Whether magnetic system is in stable state.In addition, according to the characteristic value determined in the frequency of oscillation of excitation system, step S04, damping Than and UEL restrictive curve part transmission function calculate slope of curve KuAnd intercept C, and then in slope of curve KuOr intercept C Under conditions of certain, by analyzing intercept C or slope of curve KuWith characteristic value, the relationship of damping ratio, UEL model parameter is determined Value, i.e. slope of curve KuAnd the value of intercept C.
The application of the control method for coordinating of generator UEL and PSS provided in an embodiment of the present invention is imitated below with reference to emulation Fruit is described in detail.
Specifically, it is illustrated for attached Longma hydroelectric power plant shown in fig. 5 main wiring diagram.In PSASP (Chinese: electricity The analysis integrated program of Force system;Full name in English: Power System Analysis Software Package) in establish single machine Infinite bus system model.Generator uses third-order model, wherein the rated active power P of generatorN=95MW, nominal reactive QN =53Mvar, system reference capacity are 100MVA.Linear type UEL model and PSS1A model is respectively adopted in UEL and PSS.At this In emulation testing, three kinds of operating conditions are chosen, which is respectively that system is added without UEL and PSS, system PSS is only added and is UEL and PSS is added in system.
According to the analysis of characteristic value, characteristic value, frequency and damping ratio under every kind of operating condition are obtained, which please refers to table 1。
Table 1: the parameter after being coordinated and optimized under different operating conditions
Operating condition KH TH1 TH2
P0=0.8, Q0=-0.05 10 0.3432 6.8716
P0=0.9, Q0=-0.05 10 0.5228 6.8716
P0=1, Q0=-0.05 6.9610 0.7633 14.2895
To guarantee the K after optimizationH、TH1And TH2Every kind of operating condition is had good robustness, is taken herein each under 3 kinds of operating conditions The weighted average of Optimal Parameters, i.e.,
The characteristic value, frequency of state matrix and the machine of damping ratio under different operating conditions are calculated according to the Optimal Parameters in table 1 Electric oscillation mode numerical value, the data being calculated please refer to table 2.Wherein, AVR is excitation system, when indicating excitation system difference The state of UEL and PSS is added.
Table 2: characteristic value, frequency and the damping ratio of state matrix under different operating condition difference electromechanic oscillation modes
From table 2, it can be seen that when excitation system is added without UEL and PSS, i.e., AVR state in table 2, in excitation system The real part of the characteristic value of electromechanic oscillation mode is positive, and frequency of oscillation is that the damping mode of 1.0458Hz is negative, thus excitation system Belong to instability modes.When PSS is only added in excitation system, i.e., AVR+PSS state in table 2, electromechanic oscillation mode in excitation system The real part of characteristic value be negative, frequency of oscillation is that the damping mode of 1.0075Hz is positive, and thus excitation system belongs to stable state. When UEL and PSS is added simultaneously in excitation system, i.e., AVR+PSS+UEL state in table 2, electromechanic oscillation mode in excitation system The real part of characteristic value is negative, and frequency of oscillation is that the damping mode of 0.8387Hz is positive, and thus excitation system belongs to stable state, and The obvious gap of PSS nothing is only added with excitation system.
It encourages when excitation system is added in the parameter that the embodiment of the present invention also analyzes UEL restrictive curve containing addition PSS The influence of magnetic system stability.For the K for making UELH、TH1And TH2Parameter is in different UEL restrictive curve slope KsuUnder intercept C, Every kind of operating condition all has good robustness, and it is bent to choose 5 kinds of difference UEL under the conditions of intercept C=-0.27 for the embodiment of the present invention Line slope KuUnder each Optimal Parameters weighted average, i.e.,Then it is calculated The characteristic value of excitation system, the electromechanic oscillation mode data of frequency and damping ratio please refer to table 3.Meanwhile in slope of curve Ku Under the conditions of=0.2, the weighted average of each Optimal Parameters under 5 kinds of difference UEL intercept C is chosen, i.e., The electromechanics of the characteristic value of the excitation system being then calculated, frequency and damping ratio Oscillation mode data please refer to 4.
Table 3: different UEL slope of curve KuThe electromechanic oscillation mode data of lower excitation system
From table 3, it can be seen that under the conditions of intercept C=-0.27, as slope of curve KuNumerical value when constantly increasing, machine The numerical value of the real part absolute value of characteristic value gradually becomes smaller in electric oscillation mode data, and the numerical value of damping ratio also constantly becomes smaller.By This, as slope of curve KuSetting it is bigger when, be more unfavorable for the stabilization of excitation system, it could even be possible to lead to generator step-out, Cause excitation system off-the-line.To sum up, slope of curve KuNumerical value should take lower numerical value.In practical applications, slope of curve Ku's Numerical value is generally below 0.3.
Table 4: the electromechanic oscillation mode data of excitation system under different UEL intercept C
C Characteristic value Frequency/Hz Damping ratio
-0.5 -2.64±j5.17 0.8228 1.2006
-1 -2.51±j4.76 0.7576 1.1708
-1.5 -1.93±j4.29 0.6828 0.7198
-2 -1.42±j4.46 0.7102 0.7390
-2.5 -1.15±j4.61 0.7337 0.2783
From table 4, it can be seen that in slope of curve KuUnder the conditions of=0.2, when the absolute value of intercept C constantly increases, machine The numerical value of the real part absolute value of characteristic value gradually becomes smaller in electric oscillation mode data, and the numerical value of damping ratio also constantly becomes smaller.By This is more unfavorable for the stabilization of excitation system when the setting of the absolute value of intercept C is bigger.I.e. low restrictive curve of encouraging is lower, there are Stability margin it is smaller.
Using time-domain-simulation analytic approach, time-domain-simulation verifying is carried out to one machine infinity bus system using PSASP software.Hair The initial operating condition of motor are as follows: Pt=80MW, Qt=-5Mvar carries out -5% step simulation analysis of excitation reference voltage in 1s.
Comparison is using under three kinds of operating conditions before and after the control method for coordinating of generator UEL and PSS provided in an embodiment of the present invention Electromechanic oscillation mode data, can obtain in the case that no PSS and UEL, only PSS and when having PSS and UEL simultaneously when M- active power relational graph, when m- reactive power relational graph, when m- set end voltage relational graph and when m- generator rotor angle relational graph, Specifically please refer to attached drawing 6-9.By attached drawing 6-9 it is found that when containing only PSS in excitation system, excitation system has enough dampings Inhibit system oscillation.By when m- active power relational graph as it can be seen that by 1 cycle after disturbance, 2.79s system reaches stable State.After UEL is added in the excitation system containing PSS, by when m- active power relational graph as it can be seen that by 2 after being disturbed A cycle, 5.62s system reach stable state.And the stabilization time of reactive power, set end voltage and generator rotor angle is about 4.23s, And the amplitude for amplitude and system first cycle containing only PSS being added after UEL only has small difference.
Before and after comparison is using the control method for coordinating of generator UEL and PSS provided in an embodiment of the present invention, three kinds of operating conditions exist Different slope of curve KuUnder electromechanic oscillation mode data, can obtain having a PSS in no PSS and UEL, only PSS and simultaneously With in the case of UEL when m- active power relational graph, when m- reactive power relational graph, when m- set end voltage relational graph and When m- generator rotor angle relational graph, specifically please refer to attached drawing 10-13.By attached drawing 10-13 it is found that working as slope of curve KuWhen=0.2, by After to disturbance after 2 cycles, excitation system reaches stable state in 7.23s.As slope of curve KuWhen=1, disturbed After dynamic after 8 cycles, excitation system reaches stable state in 13.02s.And reactive power, set end voltage and generator rotor angle it is steady Fix time about 4.84s.In addition, can also be seen that slope of curve K from attached drawing 10-13uDuring from 0.2 to 1, excitation system The active power oscillations period of system is obviously elongated, and the time tended towards stability is elongated, bad stability.
From above-mentioned emulation experiment, it can be seen that the control method for coordinating of generator UEL and PSS provided in an embodiment of the present invention On the basis of particle swarm algorithm, target letter is established to take into account the damping characteristic of electromechanic oscillation mode and non-electromechanic oscillation mode Number, can adjust out reasonable UEL parameter.Meanwhile after UEL is added in the excitation system containing PSS, the resistance of system is had no effect on Buddhist nun makes UEL and PSS cooperation, ensure that the stability of system.The effect of UEL Weakened System damping is bent with the limitation of UEL Line slope Ku and intercept | C | increase and be remarkably reinforced, system is that stability is poorer.
It is required that those skilled in the art can be understood that the technology in the embodiment of the present invention can add by software The mode of general hardware platform realize.Based on this understanding, the technical solution in the embodiment of the present invention substantially or Say that the part that contributes to existing technology can be embodied in the form of software products, which can deposit Storage is in storage medium, such as ROM/RAM, magnetic disk, CD, including some instructions are used so that computer equipment (can be with It is personal computer, server or the network equipment etc.) execute certain part institutes of each embodiment of the present invention or embodiment The method stated.
Invention described above embodiment is not intended to limit the scope of the present invention..
Those skilled in the art will readily occur to of the invention its after considering specification and the disclosure invented here of practice Its embodiment.This application is intended to cover any variations, uses, or adaptations of the invention, these modifications, purposes or Person's adaptive change follows general principle of the invention and including the undocumented common knowledge in the art of the present invention Or conventional techniques.The description and examples are only to be considered as illustrative, and true scope and spirit of the invention are by following Claim is pointed out.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is limited only by the attached claims.

Claims (4)

1. a kind of control method for coordinating of generator UEL and PSS, which is characterized in that the described method includes:
According to PSS model and UEL model foundation Heffron-Philips extended model;
State matrix is determined according to the Heffron-Philips extended model;
The objective function under the various working method of operation is established according to the state matrix, the objective function takes into account electromechanical oscillations Mode and non-electromechanic oscillation mode;Wherein,
The calculation formula of the objective function are as follows:Its In, N is different operating condition numbers, npFor electromechanic oscillation mode number, nqFor non-electromechanic oscillation mode number, ξ1And ξ2Respectively machine The threshold value of electric oscillation mode and non-electromechanic oscillation mode damping ratio, ξijFor the resistance of j-th of oscillation mode under i-th kind of operation conditions Buddhist nun's ratio, α and β are respectively corresponding weight coefficient, and γ is the penalty factor to negative damping oscillation mode;
The state matrix is updated using particle swarm algorithm, and calculates the characteristic value and damping ratio of updated state matrix;
According to influence of the restrictive curve parameter to system stability in UEL model described in the Eigenvalues analysis, determine described in The value of UEL model parameter.
2. the control method for coordinating of generator UEL and PSS according to claim 1, which is characterized in that described to use particle Group's algorithm updates the state matrix
Speed and the position of population are determined according to particle swarm algorithm;
Initialize speed and the position of the population;
Determine K in state matrixH、TH1And TH2Value;Wherein, the KHFor the amplification factor of UEL, the TH1And TH2For UEL's Time constant;
According to the KH、TH1And TH2Value calculate the numerical value of the objective function;
Desired positions pbest and the population of the particle in speed calculation formula are calculated according to the numerical value of the objective function Desired positions gbest;
The v of each particle is recalculated according to the desired positions pbest and the desired positions gbestid(k) and xid(k);Its In, vid(k) indicate that the d of kth time iteration particle i velocity vector ties up component;xid(k) the kth time iteration position particle i arrow is indicated The d of amount ties up component;
Judge whether the objective function restrains, if the objective function is restrained, it is determined that the K in calculating processH、TH1And TH2's Value is optimal value;If the objective function is not restrained, the mode iterated to calculate updates K in the state matrixH、TH1And TH2's Value, until the objective function is restrained;
According to the KH、TH1And TH2Optimal value the characteristic value and damping ratio of the state matrix is calculated.
3. the control method for coordinating of generator UEL and PSS according to claim 1, which is characterized in that the UEL model Including UEL restrictive curve module and UEL controlling unit module, wherein
The transmission function formula of the UEL restrictive curve module are as follows:Wherein, PtFor active power, KuWith C is respectively the slope and intercept of UEL restrictive curve, UtFor set end voltage;
The transmission function formula of the UEL controlling unit module are as follows: GUEL(s)=KH(1+sTH1)/(1+sTH2);Wherein, KHFor Amplification factor, TH1With TH2For the time constant of UEL, s is laplace transform.
4. the control method for coordinating of generator UEL and PSS according to claim 1, which is characterized in that the operating condition includes System, which is added without UEL and PSS, system PSS and system is only added, is added UEL and PSS.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5445721A (en) * 1977-09-19 1979-04-11 Toshiba Corp Fault detector for synchronous machine exciter
CN104539221A (en) * 2015-01-19 2015-04-22 国网四川省电力公司经济技术研究院 Global optimization method for control parameters of photovoltaic power generation system
CN105024601A (en) * 2014-04-23 2015-11-04 国家电网公司 Power generator excitation low excitation limit method and device
CN106712055A (en) * 2015-11-12 2017-05-24 中国电力科学研究院 Power system stabilizer (PSS) configuration method in coordination with low-excitation limiting function

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5445721A (en) * 1977-09-19 1979-04-11 Toshiba Corp Fault detector for synchronous machine exciter
CN105024601A (en) * 2014-04-23 2015-11-04 国家电网公司 Power generator excitation low excitation limit method and device
CN104539221A (en) * 2015-01-19 2015-04-22 国网四川省电力公司经济技术研究院 Global optimization method for control parameters of photovoltaic power generation system
CN106712055A (en) * 2015-11-12 2017-05-24 中国电力科学研究院 Power system stabilizer (PSS) configuration method in coordination with low-excitation limiting function

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
发电机励磁调节器低励限制协调控制分析;丁傲等;《电网技术》;20120831;第36卷(第8期);第193-198页 *
发电机叠加型低励限制对电力系统动态稳定影响机制;丁建顺等;《电力系统自动化》;20160425;第40卷(第8期);正文第78-84、91页以及附录 *
系统阻抗对竞比型低励限制控制励磁系统的稳定性影响研究;刘思宇等;《电力自动化设备》;20170930;第37卷(第9期);第171-177页 *

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