CN111781453B - Fault moment-based direct current system commutation failure risk assessment method - Google Patents

Fault moment-based direct current system commutation failure risk assessment method Download PDF

Info

Publication number
CN111781453B
CN111781453B CN202010634607.0A CN202010634607A CN111781453B CN 111781453 B CN111781453 B CN 111781453B CN 202010634607 A CN202010634607 A CN 202010634607A CN 111781453 B CN111781453 B CN 111781453B
Authority
CN
China
Prior art keywords
commutation
harmonic
voltage
commutation failure
time
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.)
Active
Application number
CN202010634607.0A
Other languages
Chinese (zh)
Other versions
CN111781453A (en
Inventor
党杰
徐友平
王斌
李小平
潘晓杰
王莹
汤奕
张慕婕
张三洪
杨丹
周悦
刘静
李刚
饶渝泽
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.)
Southeast University
Central China Grid Co Ltd
State Grid Hubei Electric Power Co Ltd
Electric Power Research Institute of State Grid Hubei Electric Power Co Ltd
State Grid Hunan Electric Power Co Ltd
Original Assignee
Southeast University
Central China Grid Co Ltd
State Grid Hubei Electric Power Co Ltd
Electric Power Research Institute of State Grid Hubei Electric Power Co Ltd
State Grid Hunan 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 Southeast University, Central China Grid Co Ltd, State Grid Hubei Electric Power Co Ltd, Electric Power Research Institute of State Grid Hubei Electric Power Co Ltd, State Grid Hunan Electric Power Co Ltd filed Critical Southeast University
Priority to CN202010634607.0A priority Critical patent/CN111781453B/en
Publication of CN111781453A publication Critical patent/CN111781453A/en
Application granted granted Critical
Publication of CN111781453B publication Critical patent/CN111781453B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/0084Arrangements for measuring currents or voltages or for indicating presence or sign thereof measuring voltage only
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R29/00Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
    • G01R29/18Indicating phase sequence; Indicating synchronism
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Operations Research (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Inverter Devices (AREA)

Abstract

The invention provides a direct current system commutation failure risk assessment method based on fault time aiming at an alternating current-direct current interconnection system. The method firstly analyzes the influence of each subharmonic on the commutation phase voltage-time area, and further calculates the additional commutation phase voltage-time area of the harmonic whole; from the practical engineering angle, defining the influence coefficient of n-th harmonic according to the characteristics that the higher the harmonic frequency is and the smaller the corresponding harmonic content is, and taking the influence coefficient of 2-th harmonic as the key index of the additional commutation voltage-time area; and finally, evaluating the risk of commutation failure through the mapping relation between the fault moment and the key indexes. The method can effectively evaluate the risk of the commutation failure, reflects the influence of the fault moment on the commutation failure of the direct-current system, and is beneficial to the safe, stable and efficient operation of the power grid.

Description

Fault moment-based direct current system commutation failure risk assessment method
Technical Field
The invention relates to the field of situation perception of direct current commutation failure in the technical field of electric power, in particular to a fault moment-based direct current system commutation failure risk assessment method.
Background
The direct current transmission technology based on the thyristor is widely applied to practical engineering due to the advantages of large capacity and long-distance transmission. Typical multi-feed-in direct current systems are formed in load center areas such as east China and south China, wherein 11 loops of direct current are fed in by east China as far as 2018, and the intensive access of the direct current brings new challenges to the safe and stable operation of a power system while effectively relieving the power utilization pressure, wherein the failure of direct current commutation is an important challenge. The phase commutation failure can cause the reduction of direct current transmission power, and even cause continuous phase commutation failure to cause more serious faults such as direct current blocking and the like under the condition of serious faults.
The commutation bus voltage amplitude is generally adopted in engineering to evaluate the commutation failure risk, but the evaluation method treats the commutation voltage as a fundamental wave, and in fact, the commutation voltage contains a larger harmonic component during the fault. The fault moment can influence the harmonic initial phase, and further influence the commutation process. Therefore, the influence of the fault moment on the commutation failure of the direct current system is researched, and the method has an important function of making and taking control and protection measures in time. However, a practical quantitative evaluation method is still lacking.
Disclosure of Invention
In view of the above, the invention provides a fault-time-based direct current system commutation failure risk assessment method, which includes analyzing the influence of each subharmonic on the commutation phase voltage-time area, and further calculating the additional commutation voltage-time area of the whole harmonic; from the practical engineering angle, defining the influence coefficient of n-th harmonic according to the characteristics that the higher the harmonic frequency is and the smaller the corresponding harmonic content is, and taking the influence coefficient of 2-th harmonic as the key index of the additional commutation voltage-time area; and finally, evaluating the risk of commutation failure through the mapping relation between the fault moment and the key indexes.
In order to achieve the purpose, the invention provides the following technical scheme:
a failure-time-based commutation failure risk assessment method for a direct-current system comprises the following steps:
(1) analyzing the influence of each harmonic on the phase-voltage-time area of the phase-voltage exchange;
(2) calculating the additional commutation voltage-time area of the whole harmonic;
(3) extracting a key index of additional commutation voltage-time area for measuring commutation failure risk;
(4) and calculating the value of the key index according to the fault moment, and evaluating the commutation failure risk.
Further, the influence of each harmonic in step (1) on the voltage-time area of the commutation phase is specifically expressed by the following formula:
Figure BDA0002569933190000021
Wherein S is n Representing the commutation voltage-time area of the nth harmonic, E n
Figure BDA0002569933190000022
Respectively representing the amplitude and phase of each harmonic, omega being 100 pi (rad/s) representing the angular velocity of the fundamental frequency of the system, and the upper and lower limits of integration being the commutation starting time t β And the commutation end time t γ
Change the integration interval from (t) β ,t γ ) Is transformed into
Figure BDA0002569933190000023
S n Represented by the formula:
Figure BDA0002569933190000024
wherein the content of the first and second substances,
Figure BDA0002569933190000025
μ=ω(t γ -t β ) Indicating the commutation overlap angle.
Further, the failure of phase commutation in step (2) refers to a phenomenon that when two valves of the converter perform phase commutation, a valve which is out of conduction in the phase commutation process fails to recover blocking capability in time under the action of a reverse voltage, or the phase commutation process fails to end during the action of the reverse voltage, so that the valve which is turned off is turned on again under the action of the forward voltage.
Further, the commutation failure fault is identified by the following formula:
γ<γ min
wherein γ ═ ω (t) 0 -t β ) Indicating the valve extinction angle, t 0 Is the zero crossing time of the commutation voltage; gamma ray min Indicating the valve intrinsic limit extinction angle.
Further, the integral additional commutation voltage-time area of the harmonic in the step (2) is calculated by the following formula:
Figure BDA0002569933190000026
further, the key index of the additional commutation voltage-time area for measuring the commutation failure risk in the step (3) is extracted through the following process:
Define index n The influence coefficient of the nth harmonic component is calculated according to the following formula:
Figure BDA0002569933190000027
therefore, the temperature of the molten metal is controlled,
Figure BDA0002569933190000028
index when the harmonic frequency n is small n The following approximation is made:
Figure BDA0002569933190000031
known from the above equation, index n And
Figure BDA0002569933190000032
approximately in a trigonometric function distribution with the amplitude value of
Figure BDA0002569933190000033
Since the higher the number of harmonics, the fast attenuation of the harmonic content, Δ S is approximated by S 2 Determine, i.e. from index 2 And (6) determining.
Further, when index 2 At the minimum, the commutation failure risk was considered to be the highest.
Further, the step (4) is specifically realized by the following steps:
(41) establishing a fault time and
Figure BDA0002569933190000034
the mapping relationship between:
Figure BDA0002569933190000035
wherein the function represents the initial phase of the fault time t _ fault and the 2 nd harmonic component
Figure BDA0002569933190000036
Functional relationship between;
(42) calculating a key index 2
Figure BDA0002569933190000037
(43) Assessing commutation failure risk:
index 2 if the harmonic component is more than 0, the fault harmonic component is beneficial to the commutation process, and the commutation failure risk is lower when the numerical value is larger;
index 2 < 0 indicates that the harmonic component of the fault is in phase commutationThe process is unfavorable, and the smaller the number, the higher the risk of commutation failure.
Further, in the step (42), when the dc system is in steady operation, the extinction angle γ ═ pi- ω t γ Pi/12, trigger advance angle beta pi- ω t β ≈0.211π,index 2 Written approximately as:
Figure BDA0002569933190000038
compared with the prior art, the invention has the following advantages and beneficial effects:
The invention provides a fault moment-based direct-current system commutation failure risk assessment method for an alternating-current and direct-current interconnection system, which can effectively assess the commutation failure risk, reflect the influence of the fault moment on the commutation failure of the direct-current system, and is beneficial to the safe, stable and efficient operation of a power grid.
Drawings
Fig. 1 is a schematic flow chart of a method for evaluating a commutation failure risk of a dc system based on a fault time according to the present invention.
Detailed Description
The technical solutions provided by the present invention will be described in detail below with reference to specific examples, and it should be understood that the following specific embodiments are only illustrative of the present invention and are not intended to limit the scope of the present invention.
As shown in fig. 1, a method for evaluating a risk of commutation failure of a dc system based on a fault time provided in an embodiment of the present invention includes:
step S1: analyzing the influence of each harmonic on the phase-voltage-time area of the phase-voltage switching, and concretely showing that:
Figure BDA0002569933190000041
wherein S is n Representing the commutation voltage-time area of the nth harmonic, E n
Figure BDA0002569933190000042
Respectively representing the amplitude and phase of each harmonic, omega being 100 pi (rad/s) representing the angular velocity of the fundamental frequency of the system, and the upper and lower limits of integration being the commutation starting time t β And the commutation end time t γ
Change the integration interval from (t) β ,t γ ) Is transformed into
Figure BDA0002569933190000043
S n Can be represented by the following formula:
Figure BDA0002569933190000044
wherein the content of the first and second substances,
Figure BDA0002569933190000045
μ=ω(t γ -t β ) Indicating the commutation overlap angle.
Step S2: calculating the integral additional commutation voltage-time area Delta S of the harmonic wave by the following formula:
Figure BDA0002569933190000046
step S3: extracting a key index of additional commutation voltage-time area for measuring commutation failure risk;
the failure fault of commutation refers to the phenomenon that when two valves of the converter carry out commutation, the valve which is out of conduction in the commutation process cannot restore the blocking capability in time under the action of reverse voltage, or the commutation process cannot be finished in the reverse voltage action period, so that the valve which is turned off is conducted again under the action of forward voltage. Specifically, the following equation can be used for discrimination:
γ<γ min
wherein γ ═ ω (t) 0 -t β ) Indicating the valve extinction angle, t 0 Is the zero crossing time of the commutation voltage; gamma ray min Indicating the inherent extreme extinction angle of the valve, is generally related to the inherent characteristics of the valve.
Extracting a key index of additional commutation voltage-time area for measuring commutation failure risk, wherein the specific implementation process comprises the following steps:
define index n The influence coefficient of the nth harmonic component can be calculated according to the following formula:
Figure BDA0002569933190000051
therefore, the temperature of the molten metal is controlled,
Figure BDA0002569933190000052
index when the harmonic frequency n is small n The following approximation can be made:
Figure BDA0002569933190000053
as shown in the above formula, index n And
Figure BDA0002569933190000054
approximately in a trigonometric function distribution with the amplitude value of
Figure BDA0002569933190000055
Since the higher the number of harmonics, the faster the harmonic content will decay, Δ S can be approximated as being represented by S 2 Determine, i.e. by index 2 And (6) determining. When index 2 At the minimum, the commutation failure risk was considered to be the highest.
Step S4: calculating the value of a key index according to the fault moment, and evaluating the commutation failure risk, wherein the specific implementation process comprises the following steps:
(41) establishing a fault time and
Figure BDA0002569933190000056
the mapping relationship between:
Figure BDA0002569933190000057
wherein the function represents the initial phase of the fault time t _ fault and the 2 nd harmonic component
Figure BDA0002569933190000058
Functional relationship between; the mapping can be obtained by fitting off-line simulation data, and the result is an expression form of a linear function;
(42) calculating a key index 2
Figure BDA0002569933190000059
When a general direct current system operates in a steady state, the extinction angle gamma is pi- ω t γ Pi/12, trigger advance angle beta pi- ω t β 0.211 π, hence index 2 Can be written approximately as:
Figure BDA00025699331900000510
(43) assessing commutation failure risk:
index 2 if the harmonic component is more than 0, the fault harmonic component is beneficial to the commutation process, and the commutation failure risk is lower when the numerical value is larger;
index 2 and < 0 indicates that the fault harmonic component is unfavorable to the commutation process, and the smaller the value, the higher the risk of commutation failure.
The technical means disclosed in the invention scheme are not limited to the technical means disclosed in the above embodiments, but also include the technical scheme formed by any combination of the above technical features. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and such improvements and modifications are also considered to be within the scope of the present invention.

Claims (7)

1. A failure-time-based commutation failure risk assessment method for a direct-current system is characterized by comprising the following steps:
(1) analyzing the influence of each harmonic on the phase voltage-time area of the phase-change voltage;
(2) calculating the additional commutation voltage-time area of the whole harmonic;
(3) extracting a key index of additional commutation voltage-time area for measuring commutation failure risk; the key index of the additional commutation voltage-time area for measuring the commutation failure risk is extracted by the following process:
define index n The influence coefficient of the n-th harmonic component is calculated according to the following formula:
Figure FDA0003640715340000011
therefore, the temperature of the molten metal is controlled,
Figure FDA0003640715340000012
E n
Figure FDA0003640715340000013
respectively representing the amplitude and phase of each harmonic, ω -100 π rad/s representing the angular velocity of the fundamental frequency of the system,
Figure FDA0003640715340000014
μ=ω(t γ -t β ) Representing the commutation overlap angle, t β For the start of commutation, t γ Is the commutation end time;
since the higher the number of harmonics, the faster the harmonic content will decay, Δ S is approximated by S 2 Determine, i.e. by index 2 Determining;
(4) calculating the value of a key index according to the fault moment, and evaluating the commutation failure risk; the specific implementation process is as follows:
(41) establishing a fault time and
Figure FDA0003640715340000015
the mapping relationship between:
Figure FDA0003640715340000016
wherein the function represents the initial phase of the fault time t _ fault and the 2 nd harmonic component
Figure FDA0003640715340000017
A functional relationship therebetween;
(42) calculating a key index 2
Figure FDA0003640715340000018
(43) Assessing commutation failure risk:
index 2 if the harmonic component is more than 0, the fault harmonic component is beneficial to the commutation process, and the commutation failure risk is lower when the numerical value is larger;
index 2 and < 0 indicates that the fault harmonic component is unfavorable to the commutation process, and the smaller the value, the higher the risk of commutation failure.
2. The fault moment-based direct current system commutation failure risk assessment method according to claim 1, wherein the influence of each harmonic in step (1) on the commutation voltage-time area is specifically expressed by the following formula:
Figure FDA0003640715340000019
wherein S is n Representing the commutation voltage-time area of the nth harmonic, E n
Figure FDA0003640715340000021
Respectively representing the amplitude and the phase of each harmonic, wherein omega is 100 pi rad/s to represent the angular speed of the fundamental frequency of the system, and the upper limit and the lower limit of the integral are respectively the commutation starting time t β And the commutation end time t γ
Change the integration interval from (t) β ,t γ ) Is transformed into
Figure FDA0003640715340000022
S n Represented by the formula:
Figure FDA0003640715340000023
wherein the content of the first and second substances,
Figure FDA0003640715340000024
μ=ω(t γ -t β ) Indicating the commutation overlap angle.
3. The method for evaluating the risk of commutation failure of the dc system according to claim 1, wherein the commutation failure is a phenomenon that when two valves of the converter perform commutation, a valve that is out of conduction in a commutation process fails to recover blocking capability in time under the action of a reverse voltage, or a commutation process fails to end during the action of a reverse voltage, so that a valve that is turned off is turned back on under the action of a forward voltage.
4. The fault-time-based commutation failure risk assessment method for a direct current system according to claim 1 or 3, wherein the commutation failure is determined by the following formula:
γ<γ min
wherein γ ═ ω (t) 0 -t β ) Indicating the valve extinction angle, t 0 Is the zero crossing time of the commutation voltage; gamma ray min Indicating the valve intrinsic limit extinction angle.
5. The fault moment-based commutation failure risk assessment method for a direct current system according to claim 1, wherein the additional commutation voltage-time area of the harmonic in the step (2) is calculated by the following formula:
Figure FDA0003640715340000025
6. the method for evaluating commutation failure risk of a DC system according to claim 1, wherein when index is used as the index 2 At the minimum, the commutation failure risk was considered highest.
7. The method for evaluating commutation failure risk of a dc system according to claim 1, wherein in the step (42), when the dc system is in steady operation, the extinction angle γ ═ pi- ω t γ Pi/12, trigger advance angle beta pi- ω t β ≈0.211π,index 2 Written approximately as:
Figure FDA0003640715340000031
CN202010634607.0A 2020-07-04 2020-07-04 Fault moment-based direct current system commutation failure risk assessment method Active CN111781453B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010634607.0A CN111781453B (en) 2020-07-04 2020-07-04 Fault moment-based direct current system commutation failure risk assessment method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010634607.0A CN111781453B (en) 2020-07-04 2020-07-04 Fault moment-based direct current system commutation failure risk assessment method

Publications (2)

Publication Number Publication Date
CN111781453A CN111781453A (en) 2020-10-16
CN111781453B true CN111781453B (en) 2022-07-29

Family

ID=72757940

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010634607.0A Active CN111781453B (en) 2020-07-04 2020-07-04 Fault moment-based direct current system commutation failure risk assessment method

Country Status (1)

Country Link
CN (1) CN111781453B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112421666B (en) * 2020-11-10 2022-09-09 国网新疆电力有限公司经济技术研究院 High-voltage direct-current power transmission system subsequent commutation failure risk assessment and inhibition method

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101701996A (en) * 2009-11-26 2010-05-05 华南理工大学 Method and device for determining commutation failure of high voltage direct current system
CN103543357A (en) * 2013-10-23 2014-01-29 华北电力大学 Method for prejudging phase change failure of converter valve
CN104614640A (en) * 2014-12-26 2015-05-13 四川大学 Method for detecting phase change failure of high-voltage direct-current power transmission system
KR20150142763A (en) * 2014-06-11 2015-12-23 한국전력공사 Apparatus for predicting and controlling commutation failure of high voltage direct current system
CN106033889A (en) * 2015-03-20 2016-10-19 国家电网公司 Method for determining risk degrees of mutual influence of multi-infeed alternating current-direct current system inversion stations
CN106803153A (en) * 2017-01-23 2017-06-06 中国电力科学研究院 A kind of appraisal procedure and system of many feed-in ac and dc systemses commutation failure risks
CN107134801A (en) * 2017-05-12 2017-09-05 国网河南省电力公司电力科学研究院 The direct current transportation commutation failure probability acquiring method of meter and commutation failure PREDICTIVE CONTROL
CN108418238A (en) * 2018-03-08 2018-08-17 国网上海市电力公司 The method occurred based on harmonic synthesis commutation coefficient assessment commutation failure
CN110011346A (en) * 2019-03-19 2019-07-12 国家电网有限公司 A kind of interactional commutation failure methods of risk assessment of consideration Inverter Station
CN110323773A (en) * 2019-07-03 2019-10-11 中国电力科学研究院有限公司 A kind of commutation failure prediction technique and system considering multifactor impact
CN110460082A (en) * 2018-05-07 2019-11-15 中国电力科学研究院有限公司 A kind of more feed-in commutation failure of high voltage direct current system risk method of discrimination and system
CN110518622A (en) * 2019-09-24 2019-11-29 华北电力大学 A kind of commutation failure detects in advance and prevention method, device

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101701996A (en) * 2009-11-26 2010-05-05 华南理工大学 Method and device for determining commutation failure of high voltage direct current system
CN103543357A (en) * 2013-10-23 2014-01-29 华北电力大学 Method for prejudging phase change failure of converter valve
KR20150142763A (en) * 2014-06-11 2015-12-23 한국전력공사 Apparatus for predicting and controlling commutation failure of high voltage direct current system
CN104614640A (en) * 2014-12-26 2015-05-13 四川大学 Method for detecting phase change failure of high-voltage direct-current power transmission system
CN106033889A (en) * 2015-03-20 2016-10-19 国家电网公司 Method for determining risk degrees of mutual influence of multi-infeed alternating current-direct current system inversion stations
CN106803153A (en) * 2017-01-23 2017-06-06 中国电力科学研究院 A kind of appraisal procedure and system of many feed-in ac and dc systemses commutation failure risks
CN107134801A (en) * 2017-05-12 2017-09-05 国网河南省电力公司电力科学研究院 The direct current transportation commutation failure probability acquiring method of meter and commutation failure PREDICTIVE CONTROL
CN108418238A (en) * 2018-03-08 2018-08-17 国网上海市电力公司 The method occurred based on harmonic synthesis commutation coefficient assessment commutation failure
CN110460082A (en) * 2018-05-07 2019-11-15 中国电力科学研究院有限公司 A kind of more feed-in commutation failure of high voltage direct current system risk method of discrimination and system
CN110011346A (en) * 2019-03-19 2019-07-12 国家电网有限公司 A kind of interactional commutation failure methods of risk assessment of consideration Inverter Station
CN110323773A (en) * 2019-07-03 2019-10-11 中国电力科学研究院有限公司 A kind of commutation failure prediction technique and system considering multifactor impact
CN110518622A (en) * 2019-09-24 2019-11-29 华北电力大学 A kind of commutation failure detects in advance and prevention method, device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Evaluation of Commutation failure Risk for HVDC Caused by Harmonic Voltage;Jiahao Chen等;《2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)》;20200409;全文 *
基于改进换相面积的直流输电换相失败判别方法;刘济豪等;《华北电力大学学报(自然科学版)》;20140228;全文 *

Also Published As

Publication number Publication date
CN111781453A (en) 2020-10-16

Similar Documents

Publication Publication Date Title
US10951037B2 (en) Method and apparatus for time-domain droop control with integrated phasor current control
CN103078312B (en) Phase-changing failure suppression method based on direct current prediction control
Xiao et al. Efficient approach to quantify commutation failure immunity levels in multi‐infeed HVDC systems
CN103762581B (en) A kind of defence method of one-tower double-circuit DC transmission system periodicity commutation failure
CN103078311B (en) Direct current predicting and setting method for inhibiting commutation failure
CN107147120B (en) RBF dual neural network self-adaptive sliding mode control method of active power filter
CN110429635B (en) Commutation failure prediction method based on direct current finite time domain prediction
CN103543357B (en) A kind of pre-judging method of converter valve commutation failure
Liu et al. Extinction angle predictive control strategy for commutation failure mitigation in HVDC systems considering voltage distortion
CN111781453B (en) Fault moment-based direct current system commutation failure risk assessment method
Zhu et al. Prevention and mitigation of high‐voltage direct current commutation failures: a review and future directions
CN104218788A (en) Network side power factor sliding-mode self-adaptive control method of matrix rectifier
CN107425533B (en) Method for guiding synchronization inverter in grid-connected operation state when voltage is unbalanced
Selim et al. Fast quasi‐static time‐series analysis and reactive power control of unbalanced distribution systems
Ouyang et al. Current-limit control method to prevent subsequent commutation failure of LCC-HVDC based on adaptive trigger voltage
CN109066656A (en) A kind of stability of power system judgment method based on single feed-in broad sense operation short-circuit ratio
CN116436327A (en) Adaptive prediction control method and system for converter based on neural network
CN109802380B (en) Low-voltage current limiting control method, system and device for high-voltage direct-current transmission
CN111697613A (en) Method and system for calculating critical voltage of commutation failure of direct-current power transmission system
CN104734172A (en) Self-adaption PI control method for improving HVDC system suppressing phase commutation failure capacity
Liu et al. An enhanced commutation failure prevention control in LCC based HVDC systems
CN107332267A (en) It is a kind of to avoid extra-high voltage direct-current power from continuing relatively low control method and system
CN116581763A (en) Method for selectively switching working modes of photovoltaic inverter system in power distribution network
CN106099918A (en) A kind of method of simulation calculation multi-infeed DC mains frequency emergency control policy
CN103474964B (en) A kind of prevent inversion from overturning intelligent overcurrent protective device and control method

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
GR01 Patent grant
GR01 Patent grant