CN112398390A - Method for optimizing parameters of generator set excitation system - Google Patents

Method for optimizing parameters of generator set excitation system Download PDF

Info

Publication number
CN112398390A
CN112398390A CN202011136192.0A CN202011136192A CN112398390A CN 112398390 A CN112398390 A CN 112398390A CN 202011136192 A CN202011136192 A CN 202011136192A CN 112398390 A CN112398390 A CN 112398390A
Authority
CN
China
Prior art keywords
generator set
excitation
gain
peak
optimizing
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202011136192.0A
Other languages
Chinese (zh)
Inventor
余侃胜
吴颖
程思萌
舒展
邹进
姚诸香
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN202011136192.0A priority Critical patent/CN112398390A/en
Publication of CN112398390A publication Critical patent/CN112398390A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02PCONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P9/00Arrangements for controlling electric generators for the purpose of obtaining a desired output
    • H02P9/14Arrangements for controlling electric generators for the purpose of obtaining a desired output by variation of field
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • 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
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Control Of Eletrric Generators (AREA)

Abstract

The invention discloses a method for optimizing parameters of a generator set excitation system, which optimizes the parameters of the generator set excitation system by optimizing an additional difference adjustment coefficient, an excitation dynamic gain and a PSS gain of the generator set excitation system based on meeting the requirements of dynamic performance of a generator set, and comprises the following steps of: the method comprises the following steps: determining a curve relation of the damping torque coefficient increment along with the change of the additional difference adjustment according to the specific generator set parameters and the running condition, and optimizing the additional difference adjustment coefficient to improve the damping; step two: based on the requirement of meeting the dynamic performance of the unit, the excitation dynamic gain and the PSS gain are optimized. The dynamic stability level of the regional power grid is improved by optimizing additional difference adjustment, excitation dynamic gain and PSS gain of a generator set excitation system.

Description

Method for optimizing parameters of generator set excitation system
Technical Field
The invention belongs to the technical field of excitation systems, and particularly relates to a method for optimizing parameters of an excitation system of a generator set.
Background
The parameters of the excitation system have important and obvious influence on the dynamic stability and the transient stability of the power system, and the performance requirements of the excitation system are specified by related industry standards, so that the requirements are indirectly provided for the excitation parameters. However, these requirements are also relatively broad and are subject to all units. With the continuous enlargement of the scale of an electric power system, an alternating current-direct current hybrid large power grid develops increasingly, and the larger the power generation proportion of new energy sources such as wind power, photovoltaic and the like is, the more new challenges are provided for the safety and stability of the electric power system. As the new energy station is not as superior as a synchronous generator set in the aspects of voltage regulation and frequency modulation, the safety and stability of the power system needs the coordinated development of new energy and a conventional synchronous generator set, and the requirement is obviously reflected in the latest mandatory national standard 'power system safety and stability guide rule'. Therefore, the parameters of the control system of the conventional synchronous generator set not only influence the self voltage regulation and frequency modulation performance, but also have great significance on the safety and stability of the whole power system with increasing new energy. Therefore, it is necessary to further study the optimization and promotion of the performance of the conventional synchronous power supply control system under the existing power grid structure, so as to adapt to the development of the super-large-scale alternating current-direct current hybrid high-proportion new energy power system in China.
For power plants which are parallel to the high-voltage side of the generator-transformer set, the negative additional difference adjustment can compensate partial reactance of a main transformer, so that the system voltage control and the reactive power distribution among the power plants are improved; for the power plants which are parallel at the generator end, the positive additional difference adjustment can realize the reactive power stable distribution among a plurality of sets which are parallel at the generator end. The additional offsets may also have an impact on system dynamic and transient stability. These problems need to be studied intensively so as to provide a reference for practical production.
In the prior art, whether performance meets dynamic performance indexes is mainly verified through field tests in parameter modeling of a generator set excitation system and parameter setting of power stability parameters, the parameter modeling and the parameter setting are limited by paying attention to the dynamic performance indexes of the generator set, and the parameter setting and optimizing method cannot be applied to setting and optimizing all running equipment parameters capable of improving the power grid damping level of a regional power grid when the dynamic stability level of the regional power grid is calculated and found to be at a low damping level.
Disclosure of Invention
The embodiment of the invention provides a parameter optimization method for a generator set excitation system, which is used for at least solving the technical problem that the parameter optimization method cannot be applied to setting and optimizing all running equipment parameters capable of improving the power grid damping level of a regional power grid when the dynamic stability level of the regional power grid is calculated and found to be at the low damping level.
The invention provides a method for optimizing parameters of a generator set excitation system, which optimizes the parameters of the generator set excitation system by optimizing an additional difference adjustment coefficient, an excitation dynamic gain and a PSS gain of the generator set excitation system based on meeting the requirements of dynamic performance of a generator set, and comprises the following steps of: the method comprises the following steps: determining a curve relation of the damping torque coefficient increment along with the change of the additional difference adjustment according to the specific generator set parameters and the running condition, and optimizing the additional difference adjustment coefficient to improve the damping; step two: based on the requirement of meeting the dynamic performance of the unit, the excitation dynamic gain and the PSS gain are optimized.
In some embodiments of the present invention, in step one, optimizing the additional difference coefficient includes changing a magnitude of the additional difference coefficient and/or changing a sign of the additional difference coefficient.
In some embodiments of the invention, in step two, the unit dynamic performance requirement includes not allowing the unit active oscillation first wave and the subsequent previous peak-to-valley difference value to increase; based on the requirement that the difference value between the first wave of the unit active oscillation and the subsequent historical peak-valley is not allowed to be increased, the excitation dynamic gain is reduced, the damping ratio is reduced, and the difference value between the first wave of the unit active oscillation and the subsequent historical peak-valley caused by the system disturbance in the time domain is reduced.
In some embodiments of the present invention, the PSS gain is increased to compensate for the decrease in the damping ratio based on meeting the requirement that the first wave of the unit active oscillation and the subsequent peak-to-valley difference are not allowed to increase.
In some embodiments of the present invention, in step two, the unit dynamic performance requirement further includes allowing the unit active oscillation first wave and the subsequent previous peak-to-valley difference value to increase; based on the requirement of allowing the difference value between the first wave of the unit active oscillation and the peak-valley difference value of the subsequent historical times to be increased, the excitation dynamic gain is increased, so that the difference value between the first wave of the unit active oscillation and the peak-valley difference value of the subsequent historical times caused by the system disturbance in the time domain is increased, and the system damping is improved.
In some embodiments of the invention, the PSS gain is increased to reduce the first peak-to-valley difference of active oscillation based on meeting the requirement of allowing the first wave of active oscillation and the subsequent previous peak-to-valley difference of the unit to increase.
According to the method, the dynamic stability level of the regional power grid is improved by optimizing additional difference adjustment, excitation dynamic gain and PSS gain of the generator set excitation system.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a functional diagram of a damping torque coefficient and an additional difference adjustment relationship in a method for optimizing parameters of a generator set excitation system according to an embodiment of the present invention;
fig. 2 is a PSS-free graph of a method for optimizing parameters of a generator set excitation system according to an embodiment of the present invention;
fig. 3 is a graph of a PSS-free curve of a further method for optimizing parameters of a generator set excitation system according to an embodiment of the present invention;
fig. 4 is a PSS-free graph of still another method for optimizing parameters of a generator set excitation system according to an embodiment of the present invention;
fig. 5 is a graph with PSS for a method for optimizing parameters of a generator set excitation system according to an embodiment of the present invention;
fig. 6 is a graph with PSS according to still another method for optimizing parameters of an excitation system of a generator set according to an embodiment of the present invention;
fig. 7 is a graph with PSS according to still another method for optimizing parameters of a generator set excitation system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a plot of damping torque coefficient as a function of additional variation for the method of generator set excitation system parameter optimization of the present application is shown.
As shown in fig. 1, a single-machine-infinite bus system model with additional difference adjustment and a mechanism analysis of the influence of the additional difference adjustment on the damping characteristic of the system are considered, and a relationship exists between the additional difference adjustment coefficient and the dynamic stability influence of the regional power grid. Certain additional difference adjustment coefficients can provide positive damping and negative damping or zero damping under different generator operating conditions; under certain generator operation conditions, the curve of the damping torque coefficient increment provided by the additional adjustment difference and the change of the additional adjustment difference is a parabola, and the parabola is bound to pass through the origin in a coordinate system taking the damping torque coefficient increment as the vertical axis and the additional adjustment difference as the horizontal axis. At a certain operating point, the sign of the additional difference adjustment coefficient is not changed, but only the magnitude is changed, so that not only the magnitude of the damping torque coefficient increment delta KD (damping torque) is changed, but also the sign of the delta KD can be changed.
And determining a parabolic relation according to specific generator parameters and operation conditions, and optimizing the additional difference adjustment coefficient to improve the damping, so that the dynamic stability of the regional power grid can be effectively improved.
In some alternative embodiments, the PID parameters when the excitation dynamics gain is increased to 200 are:
Figure BDA0002736783500000041
the simulation results of voltage steps before and after excitation optimization are shown in fig. 2.
PRONY analysis is carried out on the two curves, and the results are shown in the table below, after excitation optimization, the damping ratio of active oscillation is obviously improved, and the peak-valley difference value of first oscillation is obviously increased.
Figure BDA0002736783500000042
In some alternative embodiments, the PID parameter when the excitation dynamics gain increases to 120 is:
Figure BDA0002736783500000051
the simulation results of voltage steps before and after excitation optimization are shown in fig. 3.
The excitation dynamic gain is the voltage step simulation result under 120 two groups of parameters, and PRONY analysis is carried out on the two curves, and the results are shown in the following table:
Figure BDA0002736783500000052
in some alternative embodiments, the PID parameters when the excitation dynamics gain is increased to 30 are:
Figure BDA0002736783500000053
the simulation results of voltage steps before and after excitation optimization are shown in fig. 3.
PRONY analysis was performed on both curves and the results are shown in the following table:
Figure BDA0002736783500000054
in some optional embodiments, when the excitation dynamic gain is increased to 200, the simulation result of voltage step of the corresponding PSS configured before and after excitation optimization is as shown in fig. 5.
Active power damping comparison before and after excitation parameter optimization (PSS is configured):
Figure BDA0002736783500000055
the oscillation frequencies before and after excitation PSS optimization are similar; after optimization, the corresponding active first swing peak valley value is obviously increased, the oscillation times are the same, and the oscillation damping is enhanced. However, the difference value of the active first swing peak valley is increased due to the increase of the excitation dynamic gain, and the time for reaching the stable state is prolonged.
In some optional embodiments, when the excitation dynamic gain is increased to 120, the simulation result of voltage step of the corresponding PSS configured before and after excitation optimization is as shown in fig. 6.
Active power damping comparison before and after excitation parameter optimization (PSS is configured):
Figure BDA0002736783500000061
the oscillation frequencies before and after excitation PSS optimization are similar; after optimization, the corresponding active first swing peak valley value is obviously increased, the oscillation times are the same, but the damping of oscillation is enhanced, and finally the time for achieving stability is the same.
In some optional embodiments, when the excitation dynamic gain is increased to 30, the simulation result of voltage step of the corresponding PSS configured before and after excitation optimization is as shown in fig. 7.
Active power damping comparison before and after excitation parameter optimization (PSS is configured):
Figure BDA0002736783500000062
the oscillation frequencies before and after excitation PSS optimization are similar; after optimization, the corresponding active first swing peak-valley value is obviously reduced, the oscillation times are the same, each peak-valley value is reduced, and finally the time for achieving stability is the same.
In summary, the principle of optimizing the dynamic excitation gain and the PSS gain to improve the stability level of the regional power grid is as follows:
if the difference value between the first wave of the unit active oscillation and the subsequent historical peak-valley is not expected to be increased when the system is disturbed, the excitation dynamic gain can be properly reduced and the PSS gain can be configured, although the damping ratio is slightly reduced, the difference value between the first wave of the unit active oscillation and the subsequent historical peak-valley caused by the system disturbance in the time domain is obviously reduced, and the active fluctuation in the whole oscillation process is smaller and more stable. The PSS gain is properly increased, and the reduction of the damping can be compensated.
If the difference value between the first wave of the active oscillation of the unit and the peak-valley of the subsequent historical times is allowed to be properly increased during the system disturbance, the excitation dynamic gain can be properly increased and the PSS can be configured, although the difference value between the first wave of the active oscillation of the unit and the peak-valley of the subsequent historical times caused by the system disturbance in the time domain is increased, the system damping is improved at the same time. The active fluctuation of the whole oscillation process is larger, but the damping is enhanced, the stable time is not prolonged, the PSS gain is properly increased, and the difference value of the first peak valley of the active oscillation can be reduced.
Calculating and verifying through an actual operation mode: after 11 unit excitation PSS is optimized, the frequency of an oscillation mode is basically unchanged, the damping ratio is improved from 3.303% to 4.522%, the lifting amplitude of the damping ratio is 1.219%, namely the damping is improved by 37%, and the effect is obvious. If the unit with large participation factors on the opposite side is optimized according to the same method, the damping is improved greatly, and the dynamic stability level of the whole regional power grid is improved obviously.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (6)

1. A method for optimizing parameters of a generator set excitation system is characterized in that the method optimizes parameters of the generator set excitation system by optimizing an additional difference adjustment coefficient, an excitation dynamic gain and a PSS gain of the generator set excitation system based on meeting requirements of dynamic performance of a generator set, and comprises the following steps:
the method comprises the following steps: determining a curve relation of the damping torque coefficient increment along with the change of the additional difference adjustment according to the specific generator set parameters and the running condition, and optimizing the additional difference adjustment coefficient to improve the damping;
step two: based on the requirement of meeting the dynamic performance of the unit, the excitation dynamic gain and the PSS gain are optimized.
2. The method for optimizing parameters of a generator set excitation system according to claim 1, wherein in step one, optimizing the additional difference adjustment coefficient comprises changing the magnitude of the additional difference adjustment coefficient and/or changing the sign of the additional difference adjustment coefficient.
3. The method for optimizing parameters of an excitation system of a generator set according to claim 1, wherein in step two, the unit dynamic performance requirement includes that the first wave of unit active oscillation and the peak-to-valley difference of the subsequent previous times are not allowed to increase;
based on the requirement that the difference value between the first wave of the unit active oscillation and the subsequent historical peak-valley is not allowed to be increased, the excitation dynamic gain is reduced, the damping ratio is reduced, and the difference value between the first wave of the unit active oscillation and the subsequent historical peak-valley caused by the system disturbance in the time domain is reduced.
4. The method of claim 3, wherein the PSS gain is increased to compensate for the reduction in the damping ratio based on meeting a requirement that the increase in the peak-to-valley difference of the first wave of the active oscillation and subsequent times of the unit is not allowed.
5. The method of claim 1, wherein in step two, the unit dynamic performance requirement further comprises allowing the unit active oscillation first wave and subsequent history peak-to-valley difference to increase;
based on the requirement of allowing the difference value between the first wave of the unit active oscillation and the peak-valley difference value of the subsequent historical times to be increased, the excitation dynamic gain is increased, so that the difference value between the first wave of the unit active oscillation and the peak-valley difference value of the subsequent historical times caused by the system disturbance in the time domain is increased, and the system damping is improved.
6. The method of claim 5, wherein the PSS gain is increased to reduce the first peak-to-valley difference of active oscillation based on meeting a requirement of allowing the first wave of active oscillation and a subsequent previous peak-to-valley difference to increase.
CN202011136192.0A 2020-10-22 2020-10-22 Method for optimizing parameters of generator set excitation system Pending CN112398390A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011136192.0A CN112398390A (en) 2020-10-22 2020-10-22 Method for optimizing parameters of generator set excitation system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011136192.0A CN112398390A (en) 2020-10-22 2020-10-22 Method for optimizing parameters of generator set excitation system

Publications (1)

Publication Number Publication Date
CN112398390A true CN112398390A (en) 2021-02-23

Family

ID=74596274

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011136192.0A Pending CN112398390A (en) 2020-10-22 2020-10-22 Method for optimizing parameters of generator set excitation system

Country Status (1)

Country Link
CN (1) CN112398390A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114362135A (en) * 2021-11-08 2022-04-15 国网山东省电力公司电力科学研究院 Parameter setting method and system for power system stabilizer

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108377006A (en) * 2018-01-26 2018-08-07 广东电网有限责任公司电力科学研究院 A kind of generating set reactive difference adjustment coefficient optimization method and device
CN108964540A (en) * 2018-07-27 2018-12-07 中国电力科学研究院有限公司 A kind of method and system for calculating excitation additional tune difference and synchronous generator synchronizing torque being influenced
CN109038616A (en) * 2018-07-27 2018-12-18 中国电力科学研究院有限公司 A kind of method and system for calculating excitation additional tune difference and synchronous generator dynamic antivibration being influenced
CN110808595A (en) * 2019-11-20 2020-02-18 国家电网公司华中分部 Method for coordinately optimizing transient stability and dynamic stability of excitation gain

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108377006A (en) * 2018-01-26 2018-08-07 广东电网有限责任公司电力科学研究院 A kind of generating set reactive difference adjustment coefficient optimization method and device
CN108964540A (en) * 2018-07-27 2018-12-07 中国电力科学研究院有限公司 A kind of method and system for calculating excitation additional tune difference and synchronous generator synchronizing torque being influenced
CN109038616A (en) * 2018-07-27 2018-12-18 中国电力科学研究院有限公司 A kind of method and system for calculating excitation additional tune difference and synchronous generator dynamic antivibration being influenced
CN110808595A (en) * 2019-11-20 2020-02-18 国家电网公司华中分部 Method for coordinately optimizing transient stability and dynamic stability of excitation gain

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114362135A (en) * 2021-11-08 2022-04-15 国网山东省电力公司电力科学研究院 Parameter setting method and system for power system stabilizer
CN114362135B (en) * 2021-11-08 2023-07-07 国网山东省电力公司电力科学研究院 Parameter setting method and system for power system stabilizer

Similar Documents

Publication Publication Date Title
EP3886288A1 (en) Offshore wind farm high-frequency uncontrolled rectification direct-current electric power transmission system
CN103414197B (en) A kind of reactive-load compensation equipment collocation method of large-scale wind power delivery system
Hussain et al. Power quality improvement of grid connected wind energy system using DSTATCOM-BESS
CN110212513B (en) Flexible virtual capacitor control method for stabilizing voltage fluctuation of direct-current micro-grid bus
CN110011364A (en) A kind of active power load fluctuation that reduces is to the control method of system stabilizing influence
Mascarella et al. Flicker mitigation via dynamic volt/var control of power-electronic interfaced WTGs
Astero et al. Improving PV hosting capacity of distribution grids considering dynamic voltage characteristic
CN112398390A (en) Method for optimizing parameters of generator set excitation system
CN104882900A (en) Direct current power transmission control method suitable for large-scale wind power outward transmission
Bhadane et al. Wind energy system grid integration and grid code requirements of wind energy system
Wang et al. Continuous commutation failure suppression method based on dynamic compensation of firing angle deviation
CN116865363A (en) New energy cluster access weak power grid power-limiting operation optimization method
Yan et al. Single-stage grid-connected photovoltaic generation takes part in grid frequency regulation for electromechanical transient analysis
CN115764929A (en) Backup voltage frequency supporting method for 100% new energy source sending end power grid
Yang et al. Low-voltage ride-through strategy for offshore wind turbines based on current relaxation region
CN105262112A (en) Control method for wind power plant cluster-type static var compensator
CN202772580U (en) Generator-side voltage regulating system based on reactive power support and used for double-fed wind turbine generator
Im et al. Reactive power control strategy for inverter-based distributed generation system with a programmable limit of the voltage variation at PCC
CN103779866A (en) M and delta comprehensive optimization control method applicable to SVG
Zhu et al. A study of dynamic equivalence method for multiple wind farms in urban power grids
CN113300704A (en) Parameter design method and system for phase-locked loop of complex filter
O’Malley et al. Grand challenges of Wind Energy Science–Meeting the needs and services of the power system
Lv et al. Coordinated Optimization for Multi-Infeed LCC-HVDCs Transient Control Considering Short-Term Voltage Stability of Receiving-End Grid
US11901739B2 (en) Backup voltage and frequency support method for 100%-renewable energy sending-end grid
Tuo et al. A practical equivalence method of large scale wind farm

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20210223

RJ01 Rejection of invention patent application after publication