CN106356825B - The parameter optimization method of weak receiving end power grid DC transmission system current limiting low-voltage controller - Google Patents
The parameter optimization method of weak receiving end power grid DC transmission system current limiting low-voltage controller Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H9/00—Emergency protective circuit arrangements for limiting excess current or voltage without disconnection
- H02H9/02—Emergency protective circuit arrangements for limiting excess current or voltage without disconnection responsive to excess current
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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
- H02J3/36—Arrangements for transfer of electric power between ac networks via a high-tension dc link
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/60—Arrangements for transfer of electric power between AC networks or generators via a high voltage DC link [HVCD]
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Abstract
The invention discloses a kind of parameter optimization methods of weak receiving end power grid DC transmission system current limiting low-voltage controller, including establish emulation data platform;The method of operation and fault disturbance set are set;Optimized model object function is established using particle swarm optimization algorithm;Primary group, each particle optimum position and population optimum position;Start iteration and updates the position and speed of each particle;Calculate the fitness of each particle;Update the optimum position that each particle lives through and the optimum position that population lives through;It repeats above step and obtains parameter optimization result.The present invention emulates data platform by foundation, Optimized model object function is allow to accurately reflect influence of the VDCOL control parameters to alternating current-direct current electricity net safety stable characteristic, therefore the control parameter that the present invention optimizes can obtain preferably control effect under weak receiving end power grid different running method, failure and disturbed conditions, improve ac and dc systems recovery characteristics, lifting system safety and stability is horizontal.
Description
Technical field
Present invention relates particularly to a kind of parameter optimization methods of weak receiving end power grid DC transmission system current limiting low-voltage controller.
Background technology
D.C. high voltage transmission (HVDC) has many advantages, such as that power is quickly adjusted and reliable for operation, suitable remote, large capacity
Transmission of electricity and realization bulk power grid interconnection, therefore more and more applied in worldwide.Current limiting low-voltage controller
(Voltage Dependent Current Order Limiter, VDCOL) is the important component of HVDC control system,
It acts on the DC current instruction mainly passed through when limiting low-voltage, and it is right during electric network fault and recovery to reduce straight-flow system
The reactive power demand of AC system, reduces the probability of direct-current commutation failure, improves the recovery characteristics of ac and dc systems.
Currently, DC transmission engineering mostly uses greatly direct voltage VDCOL, control characteristic is mainly by DC high voltage door
Threshold value Uhigh, low-voltage threshold value Ulow, voltage rising time constant Tup, voltage falling time constant Tdown, minimum current limit
Value Iolim_vdcolEtc. control parameters determine, different VDCOL control parameters to electric network fault and restore during change of current busbar voltage and
Dc power is restored and system stability has a great impact.Especially for the weak receiving end power grid of direct current, VDCOL control parameters
Adjust it is improper may lead to electric network fault and restore during straight-flow system continuous commutation failure, alternating voltage and dc power occurs
It cannot restore, system transient modelling unstability or Voltage Instability are caused when serious.Currently, the VDCOL control parameter masters of DC transmission system
To lack systematic computational methods by being determined after staff's field adjustable.
Invention content
The purpose of the present invention is to provide a kind of control parameters that can accurately reflect current limiting low-voltage controller to alternating current-direct current
Electricity net safety stable characteristic influences, the parameter optimization of the weak receiving end power grid DC transmission system current limiting low-voltage controller of strong applicability
Method.
The parameter optimization method of this weak receiving end power grid DC transmission system current limiting low-voltage controller provided by the invention, packet
Include following steps:
S1. the emulation data platform of AC/DC mixed power system is established;
S2. according to the actual operating data and safety and stability characteristic of the weak receiving end power grid of direct current, in the emulation that step S1 is established
The typical operation modes and failure that weak receiving end power grid is arranged on data platform are gathered with disturbance;
S3. the emulation data platform obtained according to step S1 and S2, using particle swarm optimization algorithm, according to DC power transmission system
The limit value of the operating parameter of system, the operating parameter of weak receiving end power grid and current limiting low-voltage controller establishes current limiting low-voltage controller
Optimized model object function;
S4. the population for the Optimized model object function that initialization step S3 is obtained;
S5. each optimum position of particle and the optimum position of population in the population that initialization step S4 is obtained;
S6. start iteration, and update the position and speed of each particle;
S7. the fitness of each particle is calculated;
S8. the optimum position that each particle lives through is updated;
S9. the optimum position that update population lives through;
S10. step S6~S9 is repeated, until iterations reach the maximum value being previously set or precision reaches and is previously set
Threshold value, then finally obtained population optimum position is the ginseng of weak receiving end power grid DC transmission system current limiting low-voltage controller
Number optimum results.
The emulation data platform for establishing AC/DC mixed power system described in step S1, specially in PSD-PSMODEL
Or the detailed electromagnetic transient simulation model of DC transmission system is established on ADPSS emulation platforms, and the electro-magnetic transient of foundation is imitated
True mode is combined with the electromagnetism of electric system rest part or machine-electricity transient model, to obtain AC/DC mixed power system
Emulate data platform.
The typical operation modes of weak receiving end power grid described in step S2 include summer big mode, summer small mode, winter it is big
Mode, winter small mode, wet season big mode and wet season small mode etc..
Failure described in step S2 and disturbance set include that direct current near region exchanges symmetrically and asymmetry short circuit fault, direct current are close
Area's AC voltage fluctuations, dc power are gone up, dc power is landed, direct current monopole is latched etc..
The Optimized model object function for establishing current limiting low-voltage controller described in step S3, specially builds according to following formula
Vertical Optimized model object function:
X=(UhighR, UlowR, TupR,TdownR, UHighI, ULowI, TupI,TdownI, Iolim_vdcol)T
In formula, IdFor DC current, IrefFor DC current command value, UhighR,UlowR,TupR,TdownRAnd UhighI,UlowI,
TupI,TdownIRespectively the DC high voltage threshold value of DC transmission system rectification side and inverter side current limiting low-voltage controller, low electricity
Pressure gate threshold value, voltage rising time constant, voltage falling time constant, Iolim_vdcolFor the minimum current of current limiting low-voltage controller
Limit value;X=(UhighR,UlowR,TupR,TdownR,UhighI,UlowI,TupI,TdownI,Iolim_vdcol) it is optimized variable;J=1,
2,…,NSRepresent weak receiving end power grid NSKind different running method, k=1,2 ..., NTRepresent weak receiving end power grid NTKind of different faults or
Disturbance;TFTo emulate duration;ofj,kIt is straight when for kth kind failure or disturbance occurring under the weak receiving end power grid jth kind method of operation of direct current
The difference of galvanic electricity stream and command value square emulation duration on integral, OF be Optimized model object function.
Each optimum position of particle and the optimum position of population in initialization population described in step S5, specifically by
The emulation data platform for the AC/DC mixed power system that step S2 is established is to various under the weak various different running methods of receiving end power grid
Different faults or disturbance are emulated, and simulation result is combined to calculate particle in initialization population
Corresponding target function valueAnd define particle XiThe optimum position lived through is denoted as pbesti, initial seasonRemember that the optimum position that entire population lives through is gbest, makes object function OF most in primary group
Position where small particle is gbest0。
The position and speed of each particle of update described in step S6, is specially updated according to following two formulas:
In formula,WithThe speed of respectively i-th particle and position, subscript d indicate the d of particle rapidity or position
A coordinate.ω is inertia weight;c1And c2For Studying factors;rand1And rand2It is [0,1] random letter for two value ranges
Number.
The fitness of each particle of calculating described in step S7, specifically by the AC/DC mixed power system established
Emulation data platform under the weak various different running methods of receiving end power grid various different faults or disturbance emulate, in conjunction with
Simulation result calculates particleCorresponding target function value;ParticleCorresponding target function value is got over
Small, then the fitness of particle is better.
The optimum position that each particle of update described in step S8 lives through, if specially particle
Corresponding target function value is less than its corresponding target function value in the g-1 times iteration in the g times iteration, then by optimum bit
It sets and is updated to current particleThe position at place, otherwise the optimum position of current particle remain unchanged.
The optimum position that update population described in step S9 lives through specially traverses all particles in population, if
ParticleCorresponding target function value lives through best less than current particle group in the g times iteration
The corresponding target function value in position, then be updated to current particle by optimum position The position at place, it is no
Then the optimum position of population remains unchanged.
The parameter optimization method of this weak receiving end power grid DC transmission system current limiting low-voltage controller provided by the invention leads to
Cross the detailed electromagnetic transient simulation model for establishing DC transmission system and AC/DC mixed power system emulation data platform so that
Particle Swarm Optimization Model object function can accurately reflect shadow of the VDCOL control parameters to alternating current-direct current electricity net safety stable characteristic
It rings, the VDCOL control parameters obtained based on the present invention can be in weak receiving end power grid different running method and failure and disturbance item
Preferably control effect is obtained under part, improves the recovery characteristics of ac and dc systems, lifting system safety and stability is horizontal, and this hair
Bright method applicability is strong, easy to spread, using with practical significance in DC transmission engineering.
Description of the drawings
Fig. 1 is the flow chart of the method for the present invention.
Fig. 2 is the VDCOL control characteristic schematic diagrames of the method for the present invention in a particular embodiment.
Fig. 3, which is the VDCOL control effects of the method for the present invention in a particular embodiment, improves figure.
Specific implementation mode
It is the flow chart of the method for the present invention as shown in Figure 1, the method for the present invention is carried out below in conjunction with Fig. 1 and one embodiment
It further illustrates:
Wine lake extra-high voltage direct-current transmission engineering is chosen to be illustrated.Wine lake extra-high voltage direct-current is changed west from Gansu Province Jiuquan
Stream station, to the east of xiangtan, hunan province current conversion station, transmission distance about 2413km, rated voltage is ± 800kV, and rated power is
8000MW.The VDCOL control characteristics that wine lake extra-high voltage DC transmission system uses are as shown in Figure 2.According to the present invention into lake of serving a round of liquor to the guests
The optimization design of extra-high voltage DC transmission system VDCOL control parameters, key step are as follows:
1) AC/DC mixed power system emulation data platform is established.Based on PSD-PSMODEL emulation platforms, wine lake is established
The electromagnetic transient simulation model of extra-high voltage DC transmission system, the machine-electricity transient model phase of the model and electric system rest part
In conjunction with finally constructing electromechanics-electromagnetic transient hybrid simulation data platform of national networking system;
2) typical operation modes and failure of the setting weak receiving end power grid in Hunan and disturbance are gathered:In conjunction with Hunan Electric Grid reality
Operation data and safety and stability characteristic, setting are as follows:
Typical operation modes --- summer big mode, summer small mode, winter big mode, winter small mode amount to 4 kinds;
Typical fault or disturbance --- direct current near region He Ling~Xiang Tan current conversion station 500kV circuits three phase short circuit fault, direct current
Near region He Ling~Xiang Tan current conversion station 500kV circuits single-phase grounding fault, dc power variation, direct current monopole are latched failure,
Total 4 classes;
3) the emulation data platform based on AC/DC mixed power system seeks wine using particle group optimizing (PSO) algorithm
The VDCOL control parameters of lake extra-high voltage DC transmission system:
Step 3-1, the object function of Optimized model is established using following formula:
X=(UhighR, UlowR, TupR, TdownR, UHighI, ULowI, TupI, TdownI, Iolim_vdcol)T
In formula, IdFor DC current, IrefFor DC current command value, UhighR,UlowR,TupR,TdownRAnd UhighI,UlowI,
TupI,TdownIRespectively the DC high voltage threshold value of DC transmission system rectification side and inverter side VDCOL, low-voltage threshold value,
Voltage rising time constant, voltage falling time constant, Iolim_vdcolFor VDCOL minimum current limit values;X=(UhighR,
UlowR,TupR,TdownR,UhighI,UlowI,TupI,TdownI,Iolim_vdcol)TFor optimized variable.J=1,2 ..., NSRepresent direct current it is weak by
Hold power grid NSKind of different running method, N in the present embodimentS=4;K=1,2 ..., NTRepresent the weak receiving end power grid N of direct currentTKind is different
Failure or disturbance, N in the present embodimentT=4;TFTo emulate duration, T in the present embodimentF=5s;ofJ, kFor the weak receiving end power grid of direct current
Occur under the jth kind method of operation difference of DC current and its reference value when kth kind failure or disturbance square on emulating duration
Integral, OF be Optimized model object function;
Step 3-2, population is initialized:
N=30 particle is set, X is denoted as1,X2,…,XN.Each particle represents the VDCOL controls of one group of DC transmission system
Parameter processed, is denoted as
Xi=(XI, 1..., XI, d..., Xi,9)T
=(UHighR, ULowR, TupR,TdownR, UHighI, ULowI, TupI,TdownI, Iolim_vdcol)T
The range of VDCOL control parameters is as shown in table 1.
1 VDCOL control parameter ranges of table
Control parameter | Value range |
UhighR | 0.6~0.9 |
UlowR | 0.1~0.35 |
TupR | 0.01~0.05 |
TdownR | 0.01~0.03 |
UhighI | 0.6~0.9 |
UlowI | 0.1~0.35 |
TupI | 0.01~0.05 |
TdownI | 0.01~0.03 |
Iolim_vdcol | 0.1~0.45 |
It is random to generate N group values in above-mentioned VDCOL control parameters value range, it obtains N number of particle initial position and is denoted asInitial velocity is denoted as
Step 3-3, the optimum position of the optimum position and population of each particle is initialized:
Using the emulation data platform of AC/DC mixed power system to the weak various different running methods of receiving end power grid in Hunan
Under various different faults or disturbance emulated, calculate particle in initialization population in conjunction with simulation result and object functionCorresponding target function value OFi 0.If particle XiThe optimum position lived through is denoted as pbesti, when initial
It enablesRemember that the optimum position that entire population lives through is gbest, makes object function OF in primary group
Position where minimum particle is gbest0。
Step 3-4, iterations g=1 is enabled, iteration is started.
Step 3-5, the position and speed of each particle is updated:
In formula, d indicates particle position or d-th of coordinate of speed.ω is inertia weight;c1And c2For Studying factors;
rand1And rand2It is [0,1] random function for two value ranges;In the present embodiment, ω=0.8, c1=2, c2=2;
Step 3-6, the fitness of each particle is calculated:Using the emulation data platform of AC/DC mixed power system to lake
Various different faults or disturbance under the weak various different running methods of receiving end power grid in south are emulated, in conjunction with simulation result and target
Function calculates particleCorresponding target function value OFi g;
Step 3-7, the optimum position that each particle lives through is updated:If particleCorresponding mesh
Offer of tender numerical value OFi gIt is less thanCorresponding target function value, thenOtherwise it remains unchanged, i.e.,
Step 3-8, the optimum position that update population lives through:All particles in population are traversed, if particle
Corresponding target function value OFi gTarget function value corresponding less than gbest, thenOtherwise it remains unchanged, i.e.,
gbestg=gbestg-1。
If step 3-9, iterations g reaches set maximum iteration Gmax=50 or | | gbestg-gbestg -1| |≤ε (ε=1e-3) then stops algorithm.Otherwise, g=g+1, return to step 3-5 are enabled.
Step 3-10, finally obtained population optimum position gbest is that wine lake extra-high voltage direct-current is defeated after the completion of iteration
The VDCOL control parameters of electric system.In the present embodiment, the VDCOL of the wine lake extra-high voltage DC transmission system finally obtained is controlled
Parameter processed is as shown in table 2.
2 VDCOL Optimization about control parameter results of table
When Fig. 3 gives wine lake extra-high voltage DC transmission system VDCOL using Optimal Parameters and initial parameter, in Hunan electricity
It nets under summer big mode, after 500kV circuits generation three phase short circuit fault is changed in He Ling~Xiang Tan, wine lake extra-high voltage direct-current transmission power
Change curve.From the figure 3, it may be seen that when VDCOL uses initial parameter, dc power cannot be restored after failure, and Hunan Electric Grid loses surely
It is fixed;And when using Optimal Parameters, after failure, dc power can be restored, and Hunan Electric Grid keeps stable operation.
Claims (9)
1. a kind of parameter optimization method of weak receiving end power grid DC transmission system current limiting low-voltage controller, includes the following steps:
S1. the emulation data platform of AC/DC mixed power system is established;
S2. according to the actual operating data and safety and stability characteristic of the weak receiving end power grid of direct current, in the emulation data that step S1 is established
The typical operation modes and failure that weak receiving end power grid is arranged on platform are gathered with disturbance;
S3. the emulation data platform obtained according to step S1 and S2, using particle swarm optimization algorithm, according to DC transmission system
The limit value of operating parameter, the operating parameter of weak receiving end power grid and current limiting low-voltage controller establishes the optimization of current limiting low-voltage controller
Model objective function;Optimized model object function is specially established according to following formula:
X=(UhighR,UlowR,TupR,TdownR,UHighI,ULowI,TupI,TdownI,Iolim_vdcol)T
In formula, IdFor DC current, IrefFor DC current command value, UhighR,UlowR,TupR,TdownRAnd UhighI,UlowI,TupI,
TdownIRespectively the DC high voltage threshold value of DC transmission system rectification side and inverter side current limiting low-voltage controller, low-voltage door
Threshold value, voltage rising time constant, voltage falling time constant, Iolim_vdcolIt is limited for current limiting low-voltage controller minimum current
Value;X=(UhighR,UlowR,TupR,TdownR,UhighI,UlowI,TupI,TdownI,Iolim_vdcol) it is optimized variable;J=1,2 ..., NS
Represent weak receiving end power grid NSKind different running method, k=1,2 ..., NTRepresent weak receiving end power grid NTKind different faults or disturbance;TF
To emulate duration;ofj,kFor under the weak receiving end power grid jth kind method of operation of direct current occur kth kind failure or disturbance when DC current with
The difference of command value square emulation duration on integral, OF be Optimized model object function;
S4. the population for the Optimized model object function that initialization step S3 is obtained;
S5. each optimum position of particle and the optimum position of population in the population that initialization step S4 is obtained;
S6. start iteration, and update the position and speed of each particle;
S7. the fitness of each particle is calculated;
S8. the optimum position that each particle lives through is updated;
S9. the optimum position that update population lives through;
S10. step S6~S9 is repeated, until iterations reach the maximum value being previously set or precision reaches the threshold being previously set
Value, then finally obtained population optimum position is that the parameter of weak receiving end power grid DC transmission system current limiting low-voltage controller is excellent
Change result.
2. the parameter optimization method of weak receiving end power grid DC transmission system current limiting low-voltage controller according to claim 1,
It is characterized in that the emulation data platform for establishing AC/DC mixed power system described in step S1, specially in PSD-
Establish the detailed electromagnetic transient simulation model of DC transmission system on PSMODEL or ADPSS emulation platforms, and by the electromagnetism of foundation
Transient simulation model is combined with the electromagnetism of electric system rest part or machine-electricity transient model, to obtain alternating current-direct current blended electric power
The emulation data platform of system.
3. the parameter optimization method of weak receiving end power grid DC transmission system current limiting low-voltage controller according to claim 1,
It is characterized in that the typical operation modes of the weak receiving end power grid described in step S2 include summer big mode, summer small mode, winter
Big mode, winter small mode, wet season big mode and wet season small mode.
4. the parameter optimization method of weak receiving end power grid DC transmission system current limiting low-voltage controller according to claim 1,
It is characterized in that the failure described in step S2 includes that direct current near region exchanges symmetrical and asymmetry short circuit fault, direct current with disturbance set
Near region AC voltage fluctuations, dc power are gone up, dc power is landed and direct current monopole is latched etc..
5. the parameter of the weak receiving end power grid DC transmission system current limiting low-voltage controller according to one of Claims 1 to 4 is excellent
Change method, it is characterised in that each optimum position of particle and the optimum bit of population in the initialization population described in step S5
It sets, specifically by the emulation data platform of the step S2 AC/DC mixed power systems established to the weak various differences of receiving end power grid
Various different faults or disturbance under the method for operation are emulated, and simulation result is combined to calculate particle in initialization populationCorresponding target function value OFi 0, i=1,2 ..., N;And define particle XiThe optimum position lived through is denoted as pbesti, just
Begin seasonRemember that the optimum position that entire population lives through is gbest, makes target letter in primary group
Position where the particle of number OF minimums is gbest0。
6. the parameter of the weak receiving end power grid DC transmission system current limiting low-voltage controller according to one of Claims 1 to 4 is excellent
Change method, it is characterised in that the position and speed of each particle of update described in step S6, specially according to following two formulas
It is updated:
In formula, Vi gWithThe speed of respectively i-th particle and position, d indicate particle position or d-th of coordinate of speed;ω
For inertia weight;c1And c2For Studying factors;rand1And rand2It is [0,1] random function for two value ranges;Particle XiThrough
The optimum position gone through is denoted as pbesti, the optimum position that entire population lives through is gbest.
7. the parameter of the weak receiving end power grid DC transmission system current limiting low-voltage controller according to one of Claims 1 to 4 is excellent
Change method, it is characterised in that the fitness of each particle of calculating described in step S7, it is mixed specifically by the alternating current-direct current established
Close electric system emulation data platform under the weak various different running methods of receiving end power grid various different faults or disturb into
Row emulation calculates particle in conjunction with simulation resultCorresponding target function value, i=1,2 ..., N;ParticleCorresponding target
Functional value is smaller, then the fitness of particle is better.
8. the parameter of the weak receiving end power grid DC transmission system current limiting low-voltage controller according to one of Claims 1 to 4 is excellent
Change method, it is characterised in that the optimum position that each particle of update described in step S8 lives through, if specially particle
Corresponding target function value is less than its corresponding target function value in the g-1 times iteration in g iteration, then more by optimum position
It is newly current particleThe position at place, otherwise the optimum position of current particle remain unchanged, i=1,2 ..., N.
9. the parameter of the weak receiving end power grid DC transmission system current limiting low-voltage controller according to one of Claims 1 to 4 is excellent
Change method, it is characterised in that the optimum position that the update population described in step S9 lives through specially traverses institute in population
There is particle, if particleCorresponding target function value is less than the optimum position pair that current particle group lives through in the g times iteration
The target function value answered, then be updated to current particle by optimum positionThe position at place, otherwise population optimum position protect
Hold constant, i=1,2 ..., N.
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KR101183162B1 (en) * | 2010-12-31 | 2012-09-17 | 연세대학교 산학협력단 | Parameter optimization method of superconducting fault current limiter |
EP2897245B1 (en) * | 2014-01-17 | 2017-07-26 | General Electric Technology GmbH | Multi-terminal DC electrical network |
CN104167754B (en) * | 2014-06-30 | 2017-08-04 | 南方电网科学研究院有限责任公司 | VDCOL control parameter optimization method in multi-feed-in direct current recovery process |
CN104868490A (en) * | 2015-05-07 | 2015-08-26 | 国家电网公司 | Transient stability index-based direct current modulation controller parameter optimization method |
CN105631518B (en) * | 2015-12-23 | 2018-07-03 | 西安理工大学 | Multi-parameter multi-Objective Chaotic population parameter optimization method |
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