CN110161849A - A kind of SVC damping of power oscillation controller parameter optimization method based on improvement population - Google Patents
A kind of SVC damping of power oscillation controller parameter optimization method based on improvement population Download PDFInfo
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- CN110161849A CN110161849A CN201910325692.XA CN201910325692A CN110161849A CN 110161849 A CN110161849 A CN 110161849A CN 201910325692 A CN201910325692 A CN 201910325692A CN 110161849 A CN110161849 A CN 110161849A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
Abstract
The invention discloses a kind of based on the SVC damping of power oscillation controller parameter optimization method for improving population, it include: S1, based on the traditional Philips's-Hai Fo molar type of electric system, it installs SVC damping of power oscillation controlling unit additional, establishes the one machine infinity bus system mathematical model containing SVC additional longitudinal forces；S2, using generator end electromagnetic power and unit mechanical output difference as the input disturbance signal of the one machine infinity bus system mathematical model of foundation；S3, Modified particle swarm optimization algorithm are according to the suitable SVC damping of power oscillation controlling unit parameter of screening by ITAE Performance Evaluating Indexes according to the one machine infinity bus system mathematical model in step S1；S4, the one machine infinity bus system mathematical model containing SVC additional longitudinal forces is returned to using the Optimal Parameters that Modified particle swarm optimization algorithm obtains, phase compensation is carried out to control signal.The present invention is compared with traditional power system stabilizer, PSS controller, has preferably oscillation regulation performance.
Description
Technical field
The present invention relates to a kind of based on the SVC damping of power oscillation controller parameter optimization method for improving population, belongs to
Field of power system.
Background technique
In order to guarantee safe and stable operation of power system, it is necessary to inhibit the oscillation of electric system, including in region oscillation and
Inter area oscillation.These oscillations generally produce biggish frequency departure, therefore the damping action of system is for the suppression of system oscillation
System just seems very crucial.Due to system changes of operating modes multiplicity, it is therefore necessary to using the better controller of robustness come
Adapt to the method for operation as much as possible.
Currently, mainly inhibit the low-frequency oscillation in electric system using PSS, but generally acknowledged frequency of oscillation is lower than at present
Using PSS, the effect is unsatisfactory when 0.3Hz.
Summary of the invention
The present invention provides a kind of based on the SVC damping of power oscillation controller parameter optimization method for improving population, adopts
Use generator end electromagnetic power and unit mechanical output difference as input signal and using Modified particle swarm optimization algorithm to ginseng
Number carries out adaptive optimization, has carried out phase compensation to control signal.
The technical scheme is that a kind of based on the SVC damping of power oscillation controller parameter optimization for improving population
Method, the method comprises the following steps:
S1, based on the traditional Philips's-Hai Fo molar type of electric system, install SVC damping of power oscillation controlling unit additional, build
The vertical one machine infinity bus system mathematical model containing SVC additional longitudinal forces；
S2, using generator end electromagnetic power and unit mechanical output difference as the one machine infinity bus system mathematical modulo of foundation
The input disturbance signal of type；
S3, Modified particle swarm optimization algorithm are commented according to the one machine infinity bus system mathematical model in step S1 by ITAE performance
Valence index is according to the suitable SVC damping of power oscillation controlling unit parameter of screening；Wherein, SVC damping of power oscillation control ring
Section parameter includes the gain K of SVC additional damping controllerD, blocking time constant TW, time lead delay component time constant
T1And T2；
S4, the single machine containing SVC additional longitudinal forces is returned using the Optimal Parameters that Modified particle swarm optimization algorithm obtains
Infinite bus system mathematical model carries out phase compensation to control signal.
The Modified particle swarm optimization algorithm are as follows:
It is defined in a C dimension search space, in the molecular improvement population of n grain, Xi=[Xi1,Xi2,···,
Xic] spatial position that indicates i-th of particle, in each iterative process, particle is as follows by the location updating of extreme value iteration:
Wherein,For under+1 iteration of kth, the spatial position of i-th of particle；Location updating uses population particle most
Excellent central point pbest, pbest=(Xα+Xβ)/2, XαFor population current optimal particle, XβFor the current suboptimum particle of population；K is repeatedly
Generation number；a1For direction of search particle；c1、c2、r1、r2For nonnegative constant, referred to as search factor；
The ITAE Performance Evaluating Indexes selected are defined as follows as value function is adapted to:
Wherein, T [KD,T1,T2,TW] indicate containing the variable K in need for optimizing searchD,T1,T2,TWFunction T, t be
Simulation time, △ ω are speed deviation.
The c1、c2∈ [0,2], r1、r2∈[0,1]。
The beneficial effects of the present invention are: the damping of power oscillation (POD) that the present invention uses can be considered including two cascade frames
Figure: box 1 for exporting speed deviation signal, the on-position SVC by the electromagnetic power measured and unit mechanical output into
Row compares, and the generator model of box 1 is inputted, to obtain suitable damping control signal；Box 2 be lead-lag compensate and every
Straight link carries out adaptive optimization to controller parameter using Modified particle swarm optimization algorithm, selects lead-lag compensating parameter,
With the phase shift and resulting velocity error between compensating control signal, phasor torque relevant to velocity deviation is generated.This
Sample is the voltage support for obtaining SVC by velocity deviation, with damping ratio needed for reaching electromechanical modes.With traditional power train
System stabilizer (PSS) controller compares, and the present invention has preferably oscillation regulation performance.
Detailed description of the invention
Fig. 1 is SVC additional damping controller；
Fig. 2 is the one machine infinity bus system mathematical model containing SVC additional longitudinal forces；
Fig. 3 is modified particle swarm optiziation flow chart；
Fig. 4 mechanical disturbance Pm=0.1pu, system oscillation situation when adding SVC-POD controller；
Fig. 5 mechanical disturbance Pm=0.1pu, system oscillation situation when adding PSS controller；
Fig. 6 electromagnetic distu Pe=0.2pu, system oscillation situation when adding SVC-POD controller；
Fig. 7 electromagnetic distu Pe=0.2pu, system oscillation situation when adding PSS controller.
Specific embodiment
With reference to the accompanying drawings and examples, the invention will be further described, but the contents of the present invention be not limited to it is described
Range.
Embodiment 1: as shown in figs. 1-7, a kind of SVC damping of power oscillation control being directed to low-frequency oscillation based on improvement population
Device parameter optimization method processed, the method comprises the following steps:
As shown in Figure 1, the SVC damping of power oscillation controlling unit that the present invention uses mainly is made of box 1 and box 2,
M and D in box 1 are the rotary inertia and damped coefficient of generator model.The feelings of route transient fault occur in one-of-a-kind system
It can cause generator side mechanical output P under conditionmWith electromagnetic power PeMoment it is uneven, using the power difference Δ P of the two as controlling
The input quantity of link processed can play the busbar voltage of SVC access point by changing the reactance value on thyristor controlling brancher
Supporting role；Box 2 includes lead-lag link and blocking link, wherein KDFor the gain of SVC additional damping controller；TWIt is
Blocking time constant；T1And T2It is the time constant of time lead delay component, they is adjusted, original system can be made to have
Effect ground increases oscillation damping；KcAnd TcIt is the gain and its time constant of SVC model.
S1, based on the traditional Philips's-Hai Fo molar type of electric system, install the SVC damping of power oscillation control ring of Fig. 1 additional
Section establishes the one machine infinity bus system mathematical model containing SVC additional longitudinal forces；As shown in Figure 1, dotted line indicates installation
Position of the SVC damping control link in Controlling model based on holding mathematical model by Philips-Hai Fo；Selection is typical luxuriant and rich with fragrance
Li Pu-Hai Fo holds mathematical model links parameter: M=5, D=4, K1=0.6, K2=0.9；K3=5.1, K4=0.45, K5
=-0.09, K6=0.6, T 'd0=5.1, Ex(s)=20s/ (0.1+1).
S2, using generator end electromagnetic power and unit mechanical output difference as the one machine infinity bus system mathematical modulo of foundation
The input disturbance signal of type；
S3, Modified particle swarm optimization algorithm are commented according to the one machine infinity bus system mathematical model in step S1 by ITAE performance
Valence index is according to the suitable SVC damping of power oscillation controlling unit parameter of screening；Wherein, SVC damping of power oscillation control ring
Section parameter includes the gain K of SVC additional damping controllerD, blocking time constant TW, time lead delay component time constant
T1And T2；
For Fig. 2 setting electromagnetic power and the difference DELTA P of unit mechanical output as system step signal, population is improved
Optimization algorithm selects suitable SVC damping controller parameter by ITAE Performance Evaluating Indexes accordingly.By the control of SVC-POD controller
Parameter K processedD、TW、T1、T2Initial parameter of the conventional value as Modified particle swarm optimization, each parameter group is empty in specific search
Between middle optimization, initial value KD=0.2, TW=5, T1=0.4, T2=0.5；
In order to avoid ability of searching optimum existing for traditional particle swarm algorithm is poor, it is easily trapped into asking for locally optimal solution
Topic, the present invention use Modified particle swarm optimization algorithm, the Modified particle swarm optimization algorithm are as follows:
It is defined in a C dimension search space, in the molecular improvement population of n grain, Xi=[Xi1,Xi2,···,
Xic] spatial position that indicates i-th of particle, in each iterative process, particle is as follows by the location updating of extreme value iteration:
Wherein, three, equation right side is the optimal central point of population particle respectively, and optimal particle learns formula and suboptimum particle
Learn formula；For under+1 iteration of kth, the spatial position of i-th of particle；Location updating using population particle it is optimal in
The heart point pbest, pbest=(Xα+Xβ)/2, XαFor population current optimal particle, XβFor the current suboptimum particle of population；K is iteration time
Number；a1For direction of search particle；c1、c2、r1、r2For nonnegative constant, referred to as search factor, c1、c2∈ [0,2], r1、r2∈[0,
1]；
The ITAE Performance Evaluating Indexes selected are defined as follows as value function is adapted to:
Wherein, T [KD,T1,T2,TW] indicate containing the variable K in need for optimizing searchD,T1,T2,TWFunction T, t be
Simulation time, △ ω are speed deviation.
Its process such as Fig. 3.Using Modified particle swarm optimization algorithm based on having built up containing SVC additional longitudinal forces
One machine infinity bus system mathematical model is adaptively selected to SVC damping of power oscillation controlling unit parameter to be optimized progress, obtains
The parameter of optimization is KD=0.01, TW=10, T1=0.32, T2=0.38.
S4, the single machine containing SVC additional longitudinal forces is returned using the Optimal Parameters that Modified particle swarm optimization algorithm obtains
Infinite bus system mathematical model carries out parameter setting and simulating, verifying:
Time-domain-simulation analysis is used in Fig. 2 mathematical model, and two kinds are changed to mechanical output variation and electromagnetic power respectively
In the case of stability studied.Such as Fig. 4 to 7, (value of velocity deviation Δ ω) is compared with PSS controller under identical disturbance:
(1) mechanical disturbance Pm=0.1pu, system oscillation situation when adding SVC-POD controller.
(2) mechanical disturbance Pm=0.1pu, system oscillation situation when adding PSS controller.
(3) electromagnetic distu Pe=0.2pu, system oscillation situation when adding SVC-POD controller.
(4) electromagnetic distu Pe=0.2pu, system oscillation situation when adding PSS controller.
Wherein Fig. 4, Fig. 6 provide what each link conventional parameter of SVC-POD controller was obtained with Modified particle swarm optimization algorithm
Parameter compares, and PSS the result of digital simulation is as shown in Figure 5, Figure 7, and under identical power disturbance, SVC-POD controller can
With quick inhibition oscillation, revolving speed deviation peak value is significantly reduced, the stability of system is improved.
Above in conjunction with attached drawing, the embodiment of the present invention is explained in detail, but the present invention is not limited to above-mentioned
Embodiment within the knowledge of a person skilled in the art can also be before not departing from present inventive concept
Put that various changes can be made.
Claims (3)
1. a kind of based on the SVC damping of power oscillation controller parameter optimization method for improving population, it is characterised in that: the side
Steps are as follows for method:
S1, based on the traditional Philips's-Hai Fo molar type of electric system, install SVC damping of power oscillation controlling unit additional, foundation contains
There is the one machine infinity bus system mathematical model of SVC additional longitudinal forces；
S2, using generator end electromagnetic power and unit mechanical output difference as the one machine infinity bus system mathematical model of foundation
Input disturbance signal；
S3, Modified particle swarm optimization algorithm are referred to according to the one machine infinity bus system mathematical model in step S1 by ITAE performance evaluation
It is designated as according to the suitable SVC damping of power oscillation controlling unit parameter of screening；Wherein, SVC damping of power oscillation controlling unit is joined
Number includes the gain K of SVC additional damping controllerD, blocking time constant TW, time lead delay component time constant T1With
T2；
S4, using Modified particle swarm optimization algorithm obtain Optimal Parameters return the single machine containing SVC additional longitudinal forces it is infinite
Big system mathematic model carries out phase compensation to control signal.
2. the SVC damping of power oscillation controller parameter optimization method according to claim 1 based on improvement population,
It is characterized in that: the Modified particle swarm optimization algorithm are as follows:
It is defined in a C dimension search space, in the molecular improvement population of n grain, Xi=[Xi1,Xi2,···,Xic] table
Show the spatial position of i-th of particle, in each iterative process, particle is as follows by the location updating of extreme value iteration:
Wherein,For under+1 iteration of kth, the spatial position of i-th of particle；Location update formula is optimal using population particle
Central point pbest, pbest=(Xα+Xβ)/2, XαFor population current optimal particle, XβFor the current suboptimum particle of population；K is iteration
Number；a1For direction of search particle；c1、c2、r1、r2For nonnegative constant, referred to as search factor；
The ITAE Performance Evaluating Indexes selected are defined as follows as value function is adapted to:
Wherein, T [KD,T1,T2,TW] indicate containing the variable K in need for optimizing searchD,T1,T2,TWFunction T, t is emulation
Time, △ ω are speed deviation.
3. the SVC damping of power oscillation controller parameter optimization method according to claim 2 based on improvement population,
It is characterized in that: the c1、c2∈ [0,2], r1、r2∈[0,1]。
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| CN110850169A (en) * | 2019-11-13 | 2020-02-28 | 南方电网科学研究院有限责任公司 | Method and device for testing ultralow frequency phase frequency characteristic of water turbine speed regulating system |
| CN113904347A (en) * | 2021-09-30 | 2022-01-07 | 广东电网有限责任公司 | Parameter optimization method and device for additional damping controller of controllable phase shifter |
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Application publication date: 20190823 |