CN101841155A - Typical fault set identification method for transient stability analysis of power system - Google Patents

Typical fault set identification method for transient stability analysis of power system Download PDF

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CN101841155A
CN101841155A CN201010195032A CN201010195032A CN101841155A CN 101841155 A CN101841155 A CN 101841155A CN 201010195032 A CN201010195032 A CN 201010195032A CN 201010195032 A CN201010195032 A CN 201010195032A CN 101841155 A CN101841155 A CN 101841155A
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fault
transient stability
generator
electric power
power system
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CN101841155B (en
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徐泰山
鲍颜红
李碧君
杨卫东
许剑冰
薛峰
方勇杰
薛禹胜
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Nari Technology Co Ltd
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Nanjing NARI Group Corp
State Grid Electric Power Research Institute
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Abstract

The invention belongs to the technical field of power system computation and analysis and is applied to generating a typical fault set for transient stability analysis of a power system. The method comprises the following steps of: firstly, for the same power grid operation mode, performing the transient stability evaluation on different faults respectively by adopting a transient stability quantitative evaluation method to obtain a stability mode of each fault; secondly, calculating a transient stability association degree index between different faults according to a constitutive relation between the participation factor of the same generators in the transient stability critical generator set of every two faults and the participation factor of all the generators in the critical generator set; and finally, screening all the faults according to the transient stability association degree index between the faults. Therefore, the typical fault set for the transient stability analysis of the power system is obtained.

Description

The typical fault set identification method that is used for transient stability analysis of power system
Technical field
The invention belongs to electric power system calculating and analysis technical field.
Background technology
It is the basis of research power system dynamic step response that electric power system transient stability calculates with analyzing, and in order to grasp the transient stability characteristic of electric power system comprehensively, must carry out transient stability to the various faults of electric power system and calculate and analyze.For the rapid analysis power systems, need carry out the transient stability correlation analysis to the fault complete or collected works, according to the transient stability degree of association between the fault, from the fault complete or collected works, select the typical fault set that can reflect power system transient stability substantially.Because also not about the computational methods of the power system transient stability degree of association under the different faults, typical fault set is that electric power system calculating and analyst determine according to engineering experience at present both at home and abroad.
Summary of the invention
The present invention seeks to: the typical fault set automatic recognition problem that solves transient stability analysis of power system.
The present invention adopts following technical scheme to realize, comprises the steps:
1) at same power system operating mode, adopt method for identifying element participation factors in expansion homalographic criterion (EEAC) and the transient safe and stable mode of power system, the fault complete or collected works are carried out the transient stability quantitative evaluation respectively, obtain the stable mode of each fault, comprise the participation factors of each generator in leading the hive off pattern and the critical electric power generator group of transient stability nargin, generator;
2) at the combinations of fault in twos all among the fault complete or collected works, respectively according to the constituent relation between the participation factors of all generators in the participation factors of identical generator in the critical electric power generator group of transient stability of two faults in each combination and the critical electric power generator group, calculate the transient stability degree of association index of these two faults, all calculate until the transient stability degree of association index of all fault combinations in twos;
3) at the combinations of fault in twos all among the fault complete or collected works, respectively from transient stability degree of association index makes up greater than the fault of setting threshold value, reject the bigger fault of one of them transient stability nargin, all carried out the fault screening until all combinations of fault in twos and analyzed, the set that then remaining fault is formed is the typical fault set that is used for transient stability analysis of power system.
Effect and advantage:
The present invention is based on the transient stability pattern of fault, the constituent relation between the participation factors of all generators in the participation factors of identical generator and the critical electric power generator group from the critical electric power generator group of the transient stability of analyzing two faults, proposed to calculate the method for the transient stability degree of association index between the fault, from two bigger faults of transient stability degree of association index, reject the big fault of transient stability nargin, thereby realize the automatic screening of typical fault set, overcome the shortcoming of determining to rely on fully electric power system calculating and analyst's engineering experience of typical fault set.
Description of drawings
Fig. 1 is the flow chart of the inventive method.
Embodiment
Below in conjunction with accompanying drawing 1, the inventive method is described in detail.
What step 1 was described among Fig. 1 is the transient stability quantitative analysis, promptly at same power system operating mode, adopt method for identifying element participation factors in expansion homalographic criterion (EEAC) and the transient safe and stable mode of power system, all faults (number of faults is made as N) among the fault complete or collected works are carried out the transient stability quantitative evaluation respectively, obtain the stable mode of each fault, comprise the participation factors of each generator in leading the hive off pattern and the critical electric power generator group of transient stability nargin, generator.
What step 2 was described among Fig. 1 is the calculating of transient stability degree of association index between per two different faults, promptly to all N (N-1)/2 of fault complete or collected works fault combinations in twos, respectively according to the constituent relation between the participation factors of all generators in the participation factors of identical generator in the critical electric power generator group of transient stability of two faults in each combination and the critical electric power generator group, calculate the transient stability degree of association index of these two faults, all calculate until the transient stability degree of association index of all fault combinations in twos.Adopt formula (1) to calculate about the transient stability degree of association index between two faults.
D = Σ i = 1 l [ ( λ i . 1 + λ i . 2 ) - | λ i . 1 - λ i . 2 | ] Σ j = 1 m λ j . 1 + Σ k = 1 n λ k . 2 - - - ( 1 )
Wherein, m is a generating board number in the critical electric power generator group of the transient stability of fault 1, and n is a generating board number in the critical electric power generator group of the transient stability of fault 2, and l is the platform number of identical generator in the critical electric power generator group of these two faults.λ J.1Be the participation factors of j platform generator in the critical electric power generator group of the transient stability of fault 1, λ K.2Be the participation factors of k platform generator in the critical electric power generator group of the transient stability of fault 2, λ I.1Be the transient stability participation factors of i platform generator in fault 1 in the identical critical generator of fault 1 and fault 2, λ I.2Then be the transient stability participation factors of i platform generator in fault 2 in the identical critical generator of fault 1 and fault 2.
What step 3 was described among Fig. 1 is the rejecting of non-typical fault, promptly at all N (N-1)/2 of fault complete or collected works fault combinations in twos, respectively from transient stability degree of association index makes up greater than the fault of setting threshold value, reject the bigger fault of one of them transient stability nargin, all carried out the fault screening until all combinations of fault in twos and analyzed, the set that then remaining fault is formed is the typical fault set that is used for transient stability analysis of power system.

Claims (2)

1. be used for the typical fault set identification method of transient stability analysis of power system, it is characterized in that, may further comprise the steps:
1) at same power system operating mode, adopt method for identifying element participation factors in expansion homalographic criterion EEAC and the transient safe and stable mode of power system, the fault complete or collected works are carried out the transient stability quantitative evaluation respectively, obtain the stable mode of each fault, comprise the participation factors of each generator in leading the hive off pattern and the critical electric power generator group of transient stability nargin, generator;
2) at the combinations of fault in twos all among the fault complete or collected works, respectively according to the constituent relation between the participation factors of all generators in the participation factors of identical generator in the critical electric power generator group of transient stability of two faults in each combination and the critical electric power generator group, calculate the transient stability degree of association index of these two faults, all calculate until the transient stability degree of association index of all fault combinations in twos;
3) at the combinations of fault in twos all among the fault complete or collected works, respectively from transient stability degree of association index makes up greater than the fault of setting threshold value, reject the bigger fault of one of them transient stability nargin, all carried out the fault screening until all combinations of fault in twos and analyzed, the set that then remaining fault is formed is the typical fault set that is used for transient stability analysis of power system.
2. require the described typical fault set identification method that is used for transient stability analysis of power system according to right 1, it is characterized in that step 2) in adopt formula (1) to calculate two transient stability degree of association indexs between the fault,
D = Σ i = 1 l [ ( λ i . 1 + λ i . 2 ) - | λ i . 1 - λ i . 2 | ] Σ j = 1 m λ j . 1 + Σ k = 1 n λ k . 2 - - - ( 1 )
Wherein, m is a generating board number in the critical electric power generator group of the transient stability of fault 1, and n is a generating board number in the critical electric power generator group of the transient stability of fault 2, and l is the platform number of identical generator in the critical electric power generator group of these two faults; λ J.1Be the participation factors of j platform generator in the critical electric power generator group of the transient stability of fault 1, λ K.2Be the participation factors of k platform generator in the critical electric power generator group of the transient stability of fault 2, λ I.1Be the transient stability participation factors of i platform generator in fault 1 in the identical critical generator of fault 1 and fault 2, λ I.2Then be the transient stability participation factors of i platform generator in fault 2 in the identical critical generator of fault 1 and fault 2.
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101969202A (en) * 2010-11-23 2011-02-09 国网电力科学研究院 Method for recognizing transmission section power limit interval of power system transient stability
CN101976827A (en) * 2010-12-01 2011-02-16 江西省电力公司 Method for identifying candidate prevention and control measure of self-adaptive external-environmental electric power system
CN103473708A (en) * 2013-04-15 2013-12-25 南京南瑞集团公司 Rapid calculating method of transient safety and stability power transmission section relevancy index in electric power system
CN103544542A (en) * 2013-10-16 2014-01-29 天津大学 Power system transient stability margin predicting method
CN103778467A (en) * 2014-01-16 2014-05-07 天津大学 Power system transient state stability estimation inputted characteristic quantity selection method
CN104578053A (en) * 2015-01-09 2015-04-29 北京交通大学 Power system transient stability prediction method based on disturbance voltage trajectory cluster features
CN104578048A (en) * 2014-08-11 2015-04-29 国家电网公司 Method for quickly evaluating transient security and stability of enumerated combined successive fault set on line
CN104901304A (en) * 2015-02-15 2015-09-09 国家电网公司 Method of recognizing power system transient stability negative correlation section based on trajectory

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CN101510684A (en) * 2009-03-25 2009-08-19 国网电力科学研究院 Method for evaluating stabilization margin of non-model actual measurement track
CN101572410A (en) * 2009-06-01 2009-11-04 国网电力科学研究院 Method for identifying element participation factors in transient safe and stable mode of power system
CN101640418A (en) * 2009-09-03 2010-02-03 国网电力科学研究院 Identification method of transient state stable key transmission cross-section of electric power system fault
CN101673948A (en) * 2009-09-28 2010-03-17 国网电力科学研究院 N-2 combined fault quick sequencing method for transient stability analysis of electric power system

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Publication number Priority date Publication date Assignee Title
CN101425686A (en) * 2008-12-11 2009-05-06 国网电力科学研究院 Electrical power system on-line safety and stability evaluation forecast failure collection adaptive selection method
CN101510684A (en) * 2009-03-25 2009-08-19 国网电力科学研究院 Method for evaluating stabilization margin of non-model actual measurement track
CN101572410A (en) * 2009-06-01 2009-11-04 国网电力科学研究院 Method for identifying element participation factors in transient safe and stable mode of power system
CN101640418A (en) * 2009-09-03 2010-02-03 国网电力科学研究院 Identification method of transient state stable key transmission cross-section of electric power system fault
CN101673948A (en) * 2009-09-28 2010-03-17 国网电力科学研究院 N-2 combined fault quick sequencing method for transient stability analysis of electric power system

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101969202A (en) * 2010-11-23 2011-02-09 国网电力科学研究院 Method for recognizing transmission section power limit interval of power system transient stability
CN101976827A (en) * 2010-12-01 2011-02-16 江西省电力公司 Method for identifying candidate prevention and control measure of self-adaptive external-environmental electric power system
CN103473708A (en) * 2013-04-15 2013-12-25 南京南瑞集团公司 Rapid calculating method of transient safety and stability power transmission section relevancy index in electric power system
CN103473708B (en) * 2013-04-15 2016-09-07 国家电网公司 Transient Security for Power Systems stablizes transmission cross-section degree of association index quick calculation method
CN103544542A (en) * 2013-10-16 2014-01-29 天津大学 Power system transient stability margin predicting method
CN103778467A (en) * 2014-01-16 2014-05-07 天津大学 Power system transient state stability estimation inputted characteristic quantity selection method
CN104578048A (en) * 2014-08-11 2015-04-29 国家电网公司 Method for quickly evaluating transient security and stability of enumerated combined successive fault set on line
CN104578048B (en) * 2014-08-11 2017-01-25 国家电网公司 Method for quickly evaluating transient security and stability of enumerated combined successive fault set on line
CN104578053A (en) * 2015-01-09 2015-04-29 北京交通大学 Power system transient stability prediction method based on disturbance voltage trajectory cluster features
CN104901304A (en) * 2015-02-15 2015-09-09 国家电网公司 Method of recognizing power system transient stability negative correlation section based on trajectory
CN104901304B (en) * 2015-02-15 2017-05-10 国家电网公司 Method of recognizing power system transient stability negative correlation section based on trajectory

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