CN109742756A - The parameter regulation means of superconducting energy storage auxiliary PSS power oscillation damping - Google Patents
The parameter regulation means of superconducting energy storage auxiliary PSS power oscillation damping Download PDFInfo
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Abstract
The embodiment of the present application shows a kind of parameter regulation means of superconducting energy storage auxiliary PSS power oscillation damping, the application is the technical solution for implementing to exemplify, it uses for reference traditional PS S phase compensation method and devises superconducting energy storage real power control mode, the idle control mode of superconducting energy storage has been paid close attention to simultaneously, to make superconducting magnetic energy storage that PSS be assisted to be optimal inhibitory effect, using both improvement bat algorithm optimizations hybridized based on time-varying inertia weight with experience factor and individual major parameter, simultaneously in one machine infinity bus system simulating, verifying superconducting magnetic energy storage auxiliary PSS strategy, achieve good inhibitory effect.
Description
Technical field
This application involves power system automation technology field, in particular to a kind of superconducting energy storage auxiliary PSS inhibits low frequency
The parameter regulation means of oscillation.
Background technique
Low-frequency oscillation refer under the effect of negative damping of automatic excitation adjustor of generator and the frequency that generates 0.1~2.5Hz it
Between oscillation, belong to small disturbed stability scope.The big area networking in China uses a large amount of high voltages, remote, high-power biography
Defeated line, the probability for causing low-frequency oscillation to occur also gradually increase, and influence degree is serious to hinder no less than transient stability
Therefore the safe and stable operation of extensive interconnected network solves low-frequency oscillation problem and seems to be even more important.
Summary of the invention
A kind of parameter regulation means for being designed to provide superconducting energy storage auxiliary PSS power oscillation damping of the application, with
Achieve the effect that low-frequency oscillation.
A kind of parameter adjustment side of superconducting energy storage auxiliary PSS power oscillation damping is provided according to an embodiment of the present application
Method, comprising:
Blocking link time constant is initialized, adaptability is calculated；
It adjusts blocking link time constant and adaptability is calculated according to PASS transmission function, calculate current pulse and ring
Degree, and, pulse rate；
Judge the pulse loudness, and, whether pulse rate is in presetting range, if adjusting blocking link retaining
Time constant, and, corresponding adaptability generates new adaptability array；
It is sequentially adjusted in blocking link time constant and adaptability is calculated according to PASS transmission function, calculate current pulse
Loudness, and, pulse rate；
A target adaptability is determined in new adaptability array in described generate, the corresponding blocking of the target adaptability
Link time constant is the parameter of final adjustment.
It is selectable, the initialization blocking link time constant, calculate adaptability the step of include:
Blocking link time constant is initialized, is obtained at this point, m, n, Δ ω i, Δ Pei, Δ dPSSk, a1、a2、a3；
Wherein, m is synchronous generator number in system；N is energy storage device number；P be installing PSS number, Δ ω i with
ΔPeiIt is the rotor velocity deviation and electromagnetic power deviation of i-th synchronous generator, Δ PeiWith Δ dPSSkBe energy storage device and
The output quantity of PSS, a1、a2、a3It is the weight of each performance indicator；
According toCalculate adaptability f.
It is selectable, it is described to be sequentially adjusted in blocking link time constant adaptability is calculated according to PASS transmission function,
Current pulse loudness is calculated, and, the step of pulse rate includes:
According toIt calculates and sets its transmission function intermediate variable as Δ ωi；
According to Ai^ (i+1)=α Ai^ (i), ri^ (i+1)=r0[1-exp(-γt)], current pulse loudness Ai is calculated,
And pulse rate ri。
Selectable, described determine in generating new adaptability array includes: the step of a target adaptability
In adaptability array, according to the adaptability according to descending sequence；
Retain the first half adaptability array, the blocking link time constant in later half adaptability array is according to preset hybridization
Method hybridization, the blocking link time constant after being hybridized, according to the blocking link time constant, after calculating hybridization
Adaptability array；
In the first half adaptability array, and, target adaptability is determined in the adaptability array after hybridization.
It is selectable, it is described in the first half adaptability array, and, determine that target adapts in the adaptability array after hybridization
The step of property includes:
According to
Determine target adaptability；
Wherein, KP, Ks, KQIt is controller gain.
Selectable, the blocking link time constant in the later half adaptability array is miscellaneous according to preset hybridizing method
Hand over, the step of blocking link time constant after being hybridized in:
In hybrid process, the blocking link time constant of filial generation and the blocking link time constant relationship of parental generation individual are as follows:
From the above technical scheme, the embodiment of the present application shows a kind of superconducting energy storage auxiliary PSS power oscillation damping
Parameter regulation means, the application are the technical solutions for implementing to exemplify, and use for reference traditional PS S phase compensation method and devise superconducting energy storage
Real power control mode, while the idle control mode of superconducting energy storage has been paid close attention to, to make superconducting magnetic energy storage that PSS be assisted to be optimal suppression
Effect processed, using the main ginseng of both improvement bat algorithm optimizations hybridized based on time-varying inertia weight with experience factor and individual
Number, at the same in one machine infinity bus system simulating, verifying superconducting magnetic energy storage auxiliary PSS strategy, achieve good inhibition
Effect.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the application
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is PSS transmission function block diagram；
Fig. 2 is superconducting energy storage real power control structural block diagram；
Fig. 3 is the idle control structure block diagram of superconducting energy storage
Generator exports correlative waveform diagram when Fig. 4 is single machine microvariations；
Fig. 5 is 3 machine, 9 node system simulation result diagram；
Fig. 6 is the simulation result diagram under the method for operation 1；
Fig. 7 is the simulation result diagram under the method for operation 2.
Specific embodiment
A kind of parameter adjustment side of superconducting energy storage auxiliary PSS power oscillation damping is provided according to an embodiment of the present application
Method, comprising:
S101 initializes blocking link time constant, calculates adaptability；
S102 adjusts blocking link time constant and calculates adaptability according to PASS transmission function, calculates current pulse
Loudness, and, pulse rate；
(1) power system stabilizer；
PSS is proposed by American scholar earliest.The basic principle is that being aided with revolving speed on the basis of automatic voltage is adjusted
Deviation (Δ ω), power deviation (Δ Pe), frequency departure (one or both of Δ f) signal as additional control, generate with
Δ ω coaxial additional moment increases the damping to low-frequency oscillation, to enhance power system dynamic stability.PSS is mainly used to
The additional excitation control of positive damping is provided, common calm parameter has angular speed, power and frequency, mainly by amplification, reset and
The composition such as correction links such as lead-lag, exports then with set end voltage together as the input of excitation system.PSS is based on system
Approximate linearization model at a certain equalization point is designed, with strong points, it is easy to accomplish, the effect of power oscillation damping is aobvious
It writes, thus is widely applied.
Wherein, the mathematical model of PSS are as follows:
Under normal conditions, the input signal of PSS has the revolving speed deviation (Δ ω) of generator, frequency departure (Δ f), electromagnetic work
Rate deviation (Δ Pe) etc., at the same can also by between each input signal some signal or several signals form, input signal is worked as
The auxiliary input for making excitation controller generates damping torque by processing, and then promotes the stability of electric system.PSS and super
Leading energy storage controller is two independent damping controllers, and PSS generallys use the classical model of lead-lag, while choosing defeated
Enter signal be generator speed deviation (Δ ω), transmission function block diagram as shown in Figure 1, and set its transmission function intermediate variable as
Δx1、Δx2、Δx3。
The transmission function of PSS are as follows:
According to the transmission function of PSS, it can be calculated that Δ ωi, Δ Pei, Δ dPSSkEqual increments, T1nWhen being blocking link
Between constant, by introduce blocking link, can filter out DC component to make output not by input signal stable state variable quantity
It influences, usual T1n=10s, T2n、T4nAnd T3n、T5nIt is the time constant of differentiation element and delay component, K respectivelyPIt is that controller increases
Benefit.Two lead-lag links are usually arranged to identical parameter, i.e. T2n=T4n, T3n=T5n.The number of superconducting magnetic energy storage
Learn model.
Superconductive energy storage system SMES represents the new technology direction of flexible AC transmission FACTS, can absorb or issue active
Carry out quick response electric system needs with reactive power, therefore can be realized to voltage and frequency in electric system by SMES is grid-connected
It controls simultaneously.Superconducting energy storage link has the active and Reactive-power control ability of independent 4 quadrants, and 2 rank dynamic models are represented by
In formula, u1And u2It is virtual controlling variable；T is the inertia time constant of SMES, Δ PsmWith Δ QsmRespectively SMES
The active and reactive power injected to system.
Control proportional to the control mode of SMES device, ratio inertia control, PID control and nonlinear Control at present
Deng, but these control modes all excessively focus on the active regulating power of SMES, and ignore the Reactive-power control pair of SMES device
The control ability of system end voltage.
It has been generally acknowledged that frequency is related with active power, and voltage is related with reactive power, while using for reference power system stability
The real power control device of the lead-lag modelling SMES of device PSS, and with generator speed deviation (Δ ω) for input quantity, and
If transmission function intermediate variable is Δ v1、Δv2、Δv3, then its mathematical model be
In formula, T1i~T5iIt is time constant, 2 lead-lag links is usually arranged to identical parameter, i.e. T2i
=T4i, T3i=T5i；Ks is controller gain.
About the idle control of SMES, using with the busbar voltage of SMES access point is the control mode inputted, is connect to it
Reactive compensation is carried out at ingress, level is being required with maintenance voltage, transmission function is；
In formula, KQIt is controller gain, U is SMES access point voltage.It is hereby achieved that SMES active and without power control
Structural block diagram processed is as shown in Figures 2 and 3.
This section mainly elaborates the main braking measure of low-frequency oscillation, while arranging to power oscillation damping is most effective
Apply --- the input signal and mathematical model of PSS, while to this chapter superconducting magnetic energy storage mathematical model used and controlling party
Formula provides a brief description.
Judge the pulse loudness, and, whether pulse rate is in presetting range, if adjusting blocking link retaining
Time constant, and, corresponding adaptability generates new adaptability array；
S103 is sequentially adjusted in blocking link time constant and calculates adaptability according to PASS transmission function, calculates current
Pulse loudness, and, pulse rate；
Specifically, to make superconducting magnetic energy storage that PSS power oscillation damping be assisted to reach best inhibitory effect, this chapter is used
Improve the major parameter of both bat algorithm optimizations.But traditional bat algorithm initialization is too simple, is easily trapped into local solution,
It is possible that good inhibitory effect cannot be reached, it is employed herein and hybridizes with experience factor and individual in conjunction with time-varying inertia weight
It improves bat algorithm (IBA), is not concerned only with the active adjusting of superconducting magnetic energy storage, while considering its Reactive-power control ability to machine
Hold the influence of voltage.Therefore, the active and reactive output quantity of superconducting magnetic energy storage is introduced into objective function, chooses following mesh
Scalar functions:
In formula, m be system in synchronous generator number, n be energy storage device number, p be installing PSS number, Δ ω i with
ΔPeiIt is the rotor velocity deviation and electromagnetic power deviation of i-th synchronous generator, Δ dejWith Δ dPSSkBe energy storage device and
The output quantity of PSS, a1、a2、a3It is the weight of each performance indicator.Each performance indicator of the objective function of this simulation model takes 1.
It is described to be sequentially adjusted in blocking link time constant adaptability is calculated according to PASS transmission function, it calculates current
Pulse loudness, and, the step of pulse rate includes:
According toIt calculates and sets its transmission function intermediate variable as Δ ω i；
According to Ai^ (i+1)=α Ai^ (i), ri^ (i+1)=r0[1-exp (- γ t)], calculates current pulse loudness
Ai, and, pulse rate ri。
Judge the random number rand generated1Whether the pulse rate r of bat is greater thaniIf it is normal then to adjust blocking link time
Number, while adaptability after adjustment is stored, otherwise directly store current adaptability；
A target adaptability is determined in new adaptability array in described generate, the corresponding blocking of the target adaptability
Link time constant is the parameter of final adjustment.
Selectable, described determine in generating new adaptability array includes: the step of a target adaptability
In adaptability array, according to the adaptability according to descending sequence；
Retain the first half adaptability array, the blocking link time constant in later half adaptability array is according to preset hybridization
Method hybridization, the blocking link time constant after being hybridized, according to the blocking link time constant, after calculating hybridization
Adaptability array；
In the first half adaptability array, and, target adaptability is determined in the adaptability array after hybridization.
It is selectable, it is described in the first half adaptability array, and, determine that target adapts in the adaptability array after hybridization
The step of property includes:
According to
Wherein,
Determine target adaptability；
Wherein, KP, Ks, KQIt is controller gain, respectively corresponds above-mentioned, formula 1, formula 3, and, the case where formula 4.
Selectable, the blocking link time constant in the later half adaptability array is miscellaneous according to preset hybridizing method
Hand over, the step of blocking link time constant after being hybridized in:
In hybrid process, the blocking link time constant of filial generation and the blocking link time constant relationship of parental generation individual are as follows:
Embodiment 1:
PSS and superconducting magnetic energy storage, system a reference value SB=100MW, UB=230kV is added in one machine infinity bus system；Hair
Parameter of electric machine PN=192MW, Xd=0.8958pu, Xd'=0.1198pu, Xq=0.8645pu, Td0'=7.8s；Excitation system ginseng
Number KA=100, TR=0.02s；Transformer equivalent reactance X1=0.0625pu；Transmission line of electricity equivalent resistance rl=0.001pu, etc.
Imitate reactance xl=0.28pu；Generator terminal load uses constant-impedance model, r=2pu.Each performance indicator weight in Infinite bus power system example
Take 1.
As simulation time t=2.1s, generator mechanical power reduces 10% suddenly, and restores in 2.2s.It is following respectively
It is emulated at 4 kinds, obtains generator speed as shown in figs. 4-7 and electromagnetic power waveform.
Operating condition 1: no PSS and superconducting energy storage control；
Operating condition 2: only PSS, and PSS parameter is optimized using bat algorithm is improved；
Operating condition 3: while PSS and superconducting energy storage control (SMES) is added, but superconducting energy storage only has real power control part, it is no
Function control section, and the two major parameter is optimized by improving bat algorithm；
Operating condition 4: while PSS and superconducting energy storage control (SMES) is added, but superconducting energy storage contains real power control and idle simultaneously
Control section, and the two major parameter is optimized by improving bat algorithm.As a result such as Fig. 4, wherein left figure is rotation speed change,
Right figure is electromagnetic power variation.
Generator exports correlative waveform when Fig. 4 single machine microvariations；
The characteristic value and damping ratio of system electromechanical modes under table 4-1 different situations；
By Fig. 4 and table 4-1 it is found that in the case where being not introduced into PSS and superconducting energy storage control, generator speed and electromagnetic power
The oscillation that amplitude is gradually reduced and decaying has occurred slowly, system damping ratio 0.0365；When joined through IBA parameter optimization
The amplitude vibrated when PSS reduces, and the number of oscillation tails off, while shortening the time that each output quantity restores balance, system damping ratio
It is increased to 0.1442；And amplitude of oscillation continues to reduce after PSS and SMES is added simultaneously, the time for restoring stable also reduces, but
The case where being added to the idle control section SMES effect is more preferable, and system damping ratio is also added to 0.2519, this illustrates addition
SMES is idle, and control all has a certain impact to system features root and damping ratio.
Use for reference traditional PS S phase compensation method devise superconducting energy storage real power control mode, while paid close attention to superconducting energy storage without
Function control mode uses to make superconducting magnetic energy storage that PSS be assisted to be optimal inhibitory effect based on time-varying inertia weight and warp
Test both improvement bat algorithm optimizations of the factor and individual hybridization major parameter, while the simulating, verifying in one machine infinity bus system
The strategy of superconducting magnetic energy storage auxiliary PSS, achieves good inhibitory effect.
Embodiment 2:
To verify correctness theoretical above, this section is active by mentioned superconducting energy storage and powerless control method applies to reality
In the simulation model of system, the major parameter of generator with reference to generator and transmission line of electricity in Yunnan Power System first pass number
According to.Using the gain and time constant etc. improved in two controller of bat algorithm optimization, in the hope of reaching than individually using multiple PSS
The better effect of coordination optimizing method power oscillation damping.
Model and related data:
Using the part power grid of Yunnan Power System as system simulation model, topological structure is formd similar to 3 machines 9 this section
The classical simulation model of node system, as shown in Figure 5.Generator G1、G2And G3Be belonging respectively to kwan-yin rock, draw to Shandong and dragon opening
Power station, wherein G1It is set as balance nodes, G2、G3It is set as PV node；All generators are all made of high-speed excitation, and the owner that generates electricity
Parameter is wanted to be derived from the generator parameter of the part power grid in Yunnan Power System.Generator G2 and G3 configure PSS, generator G1Do not match
PSS is set, and only in bus B3Place is mounted with superconducting magnetic energy storage.It is small dry under 2 kinds of different methods of operation to investigate system
Stability is disturbed, is analyzed under 2 kinds of different methods of operation herein, and every kind of method of operation is according to same as Example 14
Kind operating condition is emulated.Key data under two kinds of methods of operation is as shown in table 4-2.
Simulation result and analysis:
As simulation time t=0.7s, generator G is set3Excitation voltage reference value increase by 10% suddenly, and in 0.1s
After restore.According to the objective function in formula (4-8), while utilizing the improvement available parameter as shown in table 4-3 of bat algorithm
Optimum results.Point 4 kinds of operating conditions are emulated under 2 kinds of different methods of operation simultaneously, generator G3Simulation curve such as Fig. 6 and
Shown in Fig. 7.
3 machine of table 4-2, the 9 node system method of operation:
3 machine of table 4-3,9 node system parameter optimization result
3 machine, 9 node system electromechanical modes under different operating conditions can be obtained according to already explained eigenvalue Method
Frequency of oscillation and damping ratio, as shown in table 4-4.
The frequency and damping ratio of system electromechanical modes under table 4-4 different situations
Complex chart 6 (Fig. 6-1, Fig. 6-2, Fig. 6-3), Fig. 7 (Fig. 7-1, Fig. 7-2, Fig. 7-3) and table 4-4 are available: two
Under kind different running method, as no PSS and superconducting magnetic energy storage, there is the low-frequency oscillation of amplitude reduction, and damping ratio in system
Respectively less than 0.1, and system damping ratio is improved after generator introduces PSS, it is also corresponding which restores the stable time
It reduces.When introducing PSS and superconducting magnetic energy storage, while the superconducting energy storage containing active and reactive control can preferably assist PSS
The low-frequency oscillation of inhibition system, and system damping ratio is further increased.
Those skilled in the art will readily occur to its of the application after considering specification and practicing application disclosed herein
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the application, these modifications, purposes or
Person's adaptive change follows the general principle of the application and including the undocumented common knowledge in the art of the application
Or conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the application are by following
Claim is pointed out.
It should be understood that the application is not limited to the precise structure that has been described above and shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.Scope of the present application is only limited by the accompanying claims.
Claims (6)
1. a kind of parameter regulation means of superconducting energy storage auxiliary PSS power oscillation damping characterized by comprising
Blocking link time constant is initialized, adaptability is calculated；
It adjusts blocking link time constant and adaptability is calculated according to PASS transmission function, calculate current pulse loudness, with
And pulse rate；
Judge the pulse loudness, and, whether pulse rate is in presetting range, if adjusting blocking link time retaining
Constant, and, corresponding adaptability generates new adaptability array；
It is sequentially adjusted in blocking link time constant and adaptability is calculated according to PASS transmission function, calculate current pulse and ring
Degree, and, pulse rate；
A target adaptability is determined in new adaptability array in described generate, the corresponding blocking link of the target adaptability
Time constant is the parameter of final adjustment.
2. the method according to claim 1, wherein the initialization blocking link time constant, calculates and adapts to
The step of property includes:
Blocking link time constant is initialized, is obtained at this point, m, n, "”Pei, " dPSSk, a1、a2、a3；
Wherein, m is synchronous generator number in system；N is energy storage device number；P is PSS number of installing, "With " PeiIt is
The rotor velocity deviation and electromagnetic power deviation of i-th synchronous generator, " PeiWith " dPSSkIt is energy storage device and the output of PSS
Amount, a1、a2、a3It is the weight of each performance indicator；
According toCalculate adaptability f.
3. the method according to claim 1, wherein described be sequentially adjusted in blocking link time constant, according to
PASS transmission function, calculates adaptability, calculates current pulse loudness, and, the step of pulse rate includes:
According toCalculate and set its transmission function intermediate variable as "
According to Ai^ (i+1)=± Ai^ (i), ri^ (i+1)=r0[1-exp(-3T)], current pulse loudness Ai is calculated, with
And pulse rate ri.
4. the method according to claim 1, wherein described determine a mesh in generating new adaptability array
Mark adaptability the step of include:
In adaptability array, according to the adaptability according to descending sequence；
Retain the first half adaptability array, the blocking link time constant in later half adaptability array is according to preset hybridizing method
Hybridization, the blocking link time constant after being hybridized, the adaptation according to the blocking link time constant, after calculating hybridization
Property array；
In the first half adaptability array, and, target adaptability is determined in the adaptability array after hybridization.
5. according to the method described in claim 4, it is characterized in that, described in the first half adaptability array, and, after hybridization
It is determined in adaptability array and includes: the step of target adaptability
According to
Determine target adaptability；
Wherein, KP, Ks, KQIt is controller gain.
6. according to the method described in claim 4, it is characterized in that, blocking link time in the later half adaptability array
In the step of constant hybridizes according to preset hybridizing method, blocking link time constant after being hybridized:
In hybrid process, the blocking link time constant of filial generation and the blocking link time constant relationship of parental generation individual are as follows:
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110417013A (en) * | 2019-08-07 | 2019-11-05 | 国网重庆市电力公司电力科学研究院 | Parameters of power system stabilizer setting method and readable storage medium storing program for executing |
| CN110632922A (en) * | 2019-09-10 | 2019-12-31 | 青岛理工大学 | Path planning method based on bat algorithm and reinforcement learning |
| CN110635494A (en) * | 2019-11-13 | 2019-12-31 | 云南电网有限责任公司 | Energy storage control parameter optimization selection method applied to ultralow frequency oscillation suppression |
| CN113469454A (en) * | 2021-07-20 | 2021-10-01 | 华能陇东能源有限责任公司 | Integrated energy base direct current modulation parameter configuration method and system |
| CN114362130A (en) * | 2020-10-13 | 2022-04-15 | 中国科学院电工研究所 | Inertia control method and system suitable for direct current system |
| CN116316705A (en) * | 2023-04-14 | 2023-06-23 | 长沙学院 | Low-carbon power system oscillation suppression method based on energy storage power station |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102624013A (en) * | 2012-04-06 | 2012-08-01 | 湖北省电力公司 | Phase compensation principle-based design method for energy storage damping controller |
| CN106786666A (en) * | 2016-12-22 | 2017-05-31 | 国网浙江省电力公司电力科学研究院 | A kind of parameter tuning method of leading phase self-adaptation type power system stabilizer, PSS |
| CN108539759A (en) * | 2018-04-08 | 2018-09-14 | 西南交通大学 | Improve the application method of PSO algorithm configuration novel electric power system stabilizers PSS4B |
-
2019
- 2019-01-30 CN CN201910089396.4A patent/CN109742756B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102624013A (en) * | 2012-04-06 | 2012-08-01 | 湖北省电力公司 | Phase compensation principle-based design method for energy storage damping controller |
| CN106786666A (en) * | 2016-12-22 | 2017-05-31 | 国网浙江省电力公司电力科学研究院 | A kind of parameter tuning method of leading phase self-adaptation type power system stabilizer, PSS |
| CN108539759A (en) * | 2018-04-08 | 2018-09-14 | 西南交通大学 | Improve the application method of PSO algorithm configuration novel electric power system stabilizers PSS4B |
Non-Patent Citations (1)
| Title |
|---|
| 孙宁杰等: "基于改进灰狼优化算法的多机电力***稳定器参数优化", 《电工技术》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110417013A (en) * | 2019-08-07 | 2019-11-05 | 国网重庆市电力公司电力科学研究院 | Parameters of power system stabilizer setting method and readable storage medium storing program for executing |
| CN110417013B (en) * | 2019-08-07 | 2021-03-26 | 国网重庆市电力公司电力科学研究院 | Power system stabilizer parameter setting method and readable storage medium |
| CN110632922A (en) * | 2019-09-10 | 2019-12-31 | 青岛理工大学 | Path planning method based on bat algorithm and reinforcement learning |
| CN110632922B (en) * | 2019-09-10 | 2022-06-17 | 青岛理工大学 | Path planning method based on bat algorithm and reinforcement learning |
| CN110635494A (en) * | 2019-11-13 | 2019-12-31 | 云南电网有限责任公司 | Energy storage control parameter optimization selection method applied to ultralow frequency oscillation suppression |
| CN110635494B (en) * | 2019-11-13 | 2023-11-24 | 云南电网有限责任公司 | Energy storage control parameter optimization selection method applied to ultralow frequency oscillation suppression |
| CN114362130A (en) * | 2020-10-13 | 2022-04-15 | 中国科学院电工研究所 | Inertia control method and system suitable for direct current system |
| CN113469454A (en) * | 2021-07-20 | 2021-10-01 | 华能陇东能源有限责任公司 | Integrated energy base direct current modulation parameter configuration method and system |
| CN116316705A (en) * | 2023-04-14 | 2023-06-23 | 长沙学院 | Low-carbon power system oscillation suppression method based on energy storage power station |
| CN116316705B (en) * | 2023-04-14 | 2023-09-12 | 长沙学院 | Low-carbon power system oscillation suppression method based on energy storage power station |
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