CN108900345B - Power telecom network fragility link detects localization method - Google Patents

Power telecom network fragility link detects localization method Download PDF

Info

Publication number
CN108900345B
CN108900345B CN201810735974.2A CN201810735974A CN108900345B CN 108900345 B CN108900345 B CN 108900345B CN 201810735974 A CN201810735974 A CN 201810735974A CN 108900345 B CN108900345 B CN 108900345B
Authority
CN
China
Prior art keywords
fragility
node
business
power
factor
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
CN201810735974.2A
Other languages
Chinese (zh)
Other versions
CN108900345A (en
Inventor
李华强
舒勤
冯传信
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.)
Sichuan University
Original Assignee
Sichuan University
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 Sichuan University filed Critical Sichuan University
Priority to CN201810735974.2A priority Critical patent/CN108900345B/en
Publication of CN108900345A publication Critical patent/CN108900345A/en
Application granted granted Critical
Publication of CN108900345B publication Critical patent/CN108900345B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • H04L41/142Network analysis or design using statistical or mathematical methods
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • H04L41/145Network analysis or design involving simulating, designing, planning or modelling of a network

Abstract

The invention discloses power telecom network fragility links to detect localization method, the fragile structure factor and the business fragility factor are analyzed respectively according to power telecom network design feature and power business feature, and two kinds of fragile factors are merged, by considering that node itself fragility and multistage neighbor node fragility carry out analysis assessment to network;Using setting damped coefficient in power business importance assessment, the assessed value of teleservice different degree is corrected, is equivalent in end-to-end, if it exists a plurality of same type business, then the different degree of every business improves;Using the vulnerability assessment of the Generalized Triangular Norm integrated network structure and business, that is, analyze influence of the unstability of network internal to fragility influence of the analysis network service transmission to fragility again;Comprehensively considered node itself fragility it is further contemplated that neighbor node fragility contribution;Solve the problems, such as current algorithm mostly from the aspect of single.

Description

Power telecom network fragility link detects localization method
Technical field
The present invention relates to a kind of power telecom network fragility link orientation problems, and in particular to one kind is based on topological structure and electricity The method of the power telecom network fragility link detection positioning of power business.
Background technique
Power telecom network is the guarantee of the reliable and stable operation of power system security, and power telecom network is also electric power accident shadow The amplifier of the degree of sound.The irregular operation of power telecom network can lead to electric system and break down or electric power accident be caused to influence The cascading of degree.Electric system has become the safety of electric system to the depth dependency of electric power communication network The another hidden danger of stable operation.
As a kind of special communication network, power telecom network topological structure is in hierarchical structure, electric power website distributed pole To be extensive, power optical fiber route majority is in remote districts, causes power communication system to be highly prone to external interference, is unfavorable for day Chang Yunwei.The detection positioning of power telecom network fragility link is very difficult, is to belong to a global problem, and grind at present The hot spot studied carefully.Traditional power telecom network vulnerability assessment method mainly has the fragility based on topological structure layer or power business layer Property assessment, topological structure mainly sets about according to Complex Networks Theory and small-world network theory, analysis physics transmission network it is interior Unstable, power business measures the influence degree of electric system after mainly being failed according to power business.However, at present seldom There is a vulnerability assessment method for taking into account network structure and business, current algorithm is mostly from the aspect of single.Utilize network It is a kind of relatively common appraisal procedure that a certain attribute, which calculates its fragility, but this can not accurately portray node in whole network In fragility.
Summary of the invention
To solve the problems in background technique, the present invention provides the power telecom network fragility link to solve the above problems inspections Survey localization method.
The present invention is achieved through the following technical solutions:
Power telecom network fragility link detects localization method, comprising the following steps:
A. the vulnerability assessment of power telecom network topological structure is carried out, is joined according to the fragile structure index in Complex Networks Theory Number, using the legal determining index weights of step analysis, quantitatively determines weight using entropy assessment, weight is coupled, comprehensive More fragile structure indexs and weight obtain node structure fragility index factor;
B. the vulnerability assessment of power communication network service is carried out, according to power business distribution and power business importance, setting Correction factor is obtained improved teleservice different degree distribution, is obtained using the loss amount of business different degree after node failure Node traffic fragility index factor;
C. the power telecom network vulnerability assessment for carrying out the single fragile factor, is arranged contribution coefficient, integration node itself is crisp The weak factor and 1~m rank neighbor node fragility factor obtain vulnerability assessment value;
D. the analysis of step A and step B is utilized as a result, integrating two kinds of fragile factors using the Generalized Triangular Norm, and according to step Rapid C analytic process carries out comprehensive analysis, obtains the fragile link in network.
The fragile structure factor is analyzed respectively according to power telecom network design feature and power business feature and business is fragile The factor, and two kinds of fragile factors are merged, by considering that node itself fragility and multistage neighbor node fragility carry out network Analysis assessment;Using setting damped coefficient in power business importance assessment, the assessed value of teleservice different degree is corrected, It is equivalent in end-to-end, if it exists a plurality of same type business, then the different degree of every business improves;Utilize the Generalized Triangular Norm The vulnerability assessment of integrated network structure and business analyzes influence of the unstability of network internal to fragility and analyzes again The influence to fragility is transmitted in network service;Comprehensively considered node itself fragility it is further contemplated that neighbor node fragility tribute It offers;Solve the problems, such as current algorithm mostly from the aspect of single.
Further, the node structure fragility in step A follows the steps below:
A1. assume that the structural parameters weight based on entropy assessment and analytic hierarchy process (AHP) is w1k, w2k
A2. following solution procedure is carried out:
θk=aw1k+(1-a)w2k,
θ in formulakFor complex weight, fiFor node structure fragility value.
Further, the node traffic fragility in step B follows the steps below:
B1. assume that power business importance is SIi, end-to-end path length is dij, λ is correction factor;
B2. teleservice different degree is solved as follows:
B3. the node fragility based on business is solved as follows:
W in formulajFor the teleservice different degree after normalization.
Further, step C the following steps are included:
C1 assume alpha, gamma be two adjustable preset parameters, be respectively intended to adjust node itself and 1 to m rank neighbours save Percentage contribution of the point fragility to node fragility, δi, δjIt is fragile respectively to assess investigated node itself and 1~m rank neighbours Factor values
Further, step D the following steps are included:
D1. the vulnerability assessment of integration node structure and business fragility is solved as follows:
Ii=AEi,
A=[α, γ, γ2,...,γm],
The matrix that A is made of node itself and neighbor node fragility contribution factor in formula, EiFor node i to be assessed Fragile level of factor matrix.
The present invention has the advantage that and the utility model has the advantages that
1, the present invention according to power telecom network design feature and power business feature analyze respectively the fragile structure factor and The business fragility factor, and two kinds of fragile factors are merged, by considering node itself fragility and multistage neighbor node fragility pair Network carries out analysis assessment;Using the vulnerability assessment of the Generalized Triangular Norm integrated network structure and business, that is, analyze in network The influence to fragility is transmitted in analysis network service again for influence of the unstability in portion to fragility;Node itself is comprehensively considered Fragility it is further contemplated that neighbor node fragility contribution;Solve the problems, such as current algorithm mostly from the aspect of single;.
2, the present invention corrects teleservice different degree using setting damped coefficient in power business importance assessment Assessed value is equivalent in end-to-end, if it exists a plurality of same type business, then the different degree of every business improves;
3, the present invention analyzes network internal using the vulnerability assessment of the Generalized Triangular Norm integrated network structure and business Influence of the unstability to fragility influence to fragility is transmitted in analysis network service again;It is crisp node itself has been comprehensively considered Weak property it is further contemplated that neighbor node fragility contribution.
Detailed description of the invention
Attached drawing described herein is used to provide to further understand the embodiment of the present invention, constitutes one of the application Point, do not constitute the restriction to the embodiment of the present invention.In the accompanying drawings:
Fig. 1 is the power telecom network analogous diagram of embodiment.
Fig. 2 is the synthesis vulnerability assessment value of embodiment.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below with reference to embodiment and attached drawing, to this Invention is described in further detail, and exemplary embodiment of the invention and its explanation for explaining only the invention, are not made For limitation of the invention.
Embodiment 1
As shown in Figure 1, power telecom network fragility link detects localization method, comprising the following steps:
A. the vulnerability assessment of power telecom network topological structure is carried out, is joined according to the fragile structure index in Complex Networks Theory Number, using the legal determining index weights of step analysis, quantitatively determines weight using entropy assessment, weight is coupled, comprehensive More fragile structure indexs and weight obtain node structure fragility index factor;
B. the vulnerability assessment of power communication network service is carried out, according to power business distribution and power business importance, setting Correction factor is obtained improved teleservice different degree distribution, is obtained using the loss amount of business different degree after node failure Node traffic fragility index factor;
C. the power telecom network vulnerability assessment for carrying out the single fragile factor, is arranged contribution coefficient, integration node itself is crisp The weak factor and 1~m rank neighbor node fragility factor obtain vulnerability assessment value;
D. the analysis of step A and step B is utilized as a result, integrating two kinds of fragile factors using the Generalized Triangular Norm, and according to step Rapid C analytic process carries out comprehensive analysis, obtains the fragile link in network.
The fragile structure factor is analyzed respectively according to power telecom network design feature and power business feature and business is fragile The factor, and two kinds of fragile factors are merged, by considering that node itself fragility and multistage neighbor node fragility carry out network Analysis assessment;Using setting damped coefficient in power business importance assessment, the assessed value of teleservice different degree is corrected, It is equivalent in end-to-end, if it exists a plurality of same type business, then the different degree of every business improves;Utilize the Generalized Triangular Norm The vulnerability assessment of integrated network structure and business analyzes influence of the unstability of network internal to fragility and analyzes again The influence to fragility is transmitted in network service;Comprehensively considered node itself fragility it is further contemplated that neighbor node fragility tribute It offers;Solve the problems, such as current algorithm mostly from the aspect of single.
When implementation, the node structure fragility in step A is followed the steps below:
A1. assume that the structural parameters weight based on entropy assessment and analytic hierarchy process (AHP) is w1k, w2k
A2. following solution procedure is carried out:
θk=aw1k+(1-a)w2k,
θ in formulakFor complex weight, fiFor node structure fragility value.
Node traffic fragility in step B follows the steps below:
B1. assume that power business importance is SIi, end-to-end path length is dij, λ is correction factor;
B2. teleservice different degree is solved as follows:
B3. the node fragility based on business is solved as follows:
W in formulajFor the teleservice different degree after normalization.
Step C the following steps are included:
C1 assume alpha, gamma be two adjustable preset parameters, be respectively intended to adjust node itself and 1 to m rank neighbours save Percentage contribution of the point fragility to node fragility, δi, δjIt is fragile respectively to assess investigated node itself and 1~m rank neighbours Factor values
Further, step D the following steps are included:
D1. the vulnerability assessment of integration node structure and business fragility is solved as follows:
Ii=AEi,
A=[α, γ, γ2,...,γm],
The matrix that A is made of node itself and neighbor node fragility contribution factor in formula, EiFor node i to be assessed Fragile level of factor matrix.
As Figure 1-Figure 2, the power telecom network figure built is managed according to power telecom network topological structure and complex network By analysis network element structures fragility parameter value determines structural parameters weight using analytic hierarchy process (AHP) and entropy assessment, to a variety of knots Structure parameter, which is linearly summed, obtains the fragile structure factor, and setting power business is distributed, and according to power business importance, analyzes in network The distribution of teleservice different degree, and with this computing unit business fragility, pass through the Generalized Triangular Norm aggregators fragile structure The factor and the business fragility factor consider that the influence of node itself fragility and 1~m rank neighbor node fragility, analysis obtain The comprehensive fragile value of node;Simulation analysis result enters following table:
The sequence of node fragility is as follows:
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include Within protection scope of the present invention.

Claims (4)

1. power telecom network fragility link detects localization method, which comprises the following steps:
A. the vulnerability assessment of power telecom network topological structure is carried out, according to the fragile structure index parameter in Complex Networks Theory, Using the legal determining index weights of step analysis, weight is quantitatively determined using entropy assessment, weight is coupled, comprehensive more knots Structure fragility index and weight obtain node structure fragility index factor;
B. the vulnerability assessment of power communication network service is carried out, according to power business distribution and power business importance, setting amendment Coefficient obtains improved teleservice different degree distribution, obtains egress using the loss amount of business different degree after node failure Business fragility index factor;
C. the power telecom network vulnerability assessment for carrying out the single fragile factor, is arranged contribution coefficient, integration node itself it is fragile because Son and 1~m rank neighbor node fragility factor obtain vulnerability assessment value;
D. the analysis of step A and step B is utilized as a result, integrating two kinds of fragile factors using the Generalized Triangular Norm, and according to step C points Analysis process carries out comprehensive analysis, obtains the fragile link in network;
Wherein, step D the following steps are included:
D1. the vulnerability assessment of integration node structure and business fragility is solved as follows:
Ii=AEi,
A=[α, γ, γ2,...,γm],
The matrix that A is made of node itself and neighbor node fragility contribution factor in formula, EiFor the crisp of node i to be assessed Weak level of factor matrix.
2. power telecom network fragility link according to claim 1 detects localization method, which is characterized in that the step A In node structure fragility follow the steps below:
A1. assume that the structural parameters weight based on entropy assessment and analytic hierarchy process (AHP) is w1k, w2k
A2. following solution procedure is carried out:
θk=aw1k+(1-a)w2k,
θ in formulakFor complex weight, fiFor node structure fragility value.
3. power telecom network fragility link according to claim 1 detects localization method, which is characterized in that the step B In node traffic fragility follow the steps below:
B1. assume that power business importance is SIi, end-to-end path length is dij, λ is correction factor;
B2. teleservice different degree is solved as follows:
B3. the node fragility based on business is solved as follows:
W in formulajFor the teleservice different degree after normalization.
4. power telecom network fragility link as claimed in any of claims 1 to 3 detects localization method, feature exists In, the step C the following steps are included:
C1 assume alpha, gamma be two adjustable preset parameters, be respectively intended to adjust node itself and 1 to m rank neighbor node it is crisp Percentage contribution of the weak property to node fragility, δi, δjRespectively assess investigated node itself and 1~m rank neighbours' fragility factor Value
CN201810735974.2A 2018-07-06 2018-07-06 Power telecom network fragility link detects localization method Active CN108900345B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810735974.2A CN108900345B (en) 2018-07-06 2018-07-06 Power telecom network fragility link detects localization method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810735974.2A CN108900345B (en) 2018-07-06 2018-07-06 Power telecom network fragility link detects localization method

Publications (2)

Publication Number Publication Date
CN108900345A CN108900345A (en) 2018-11-27
CN108900345B true CN108900345B (en) 2019-06-04

Family

ID=64348087

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810735974.2A Active CN108900345B (en) 2018-07-06 2018-07-06 Power telecom network fragility link detects localization method

Country Status (1)

Country Link
CN (1) CN108900345B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110740097B (en) * 2019-10-31 2021-09-03 广东电网有限责任公司 Method and device for evaluating routing scheme of power communication network

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105893740B (en) * 2016-03-29 2019-02-26 中国人民解放军国防科学技术大学 A method of for excavating fragile node and route in electric power networks

Also Published As

Publication number Publication date
CN108900345A (en) 2018-11-27

Similar Documents

Publication Publication Date Title
CN103179132B (en) A kind of method and device detecting and defend CC attack
Ben Or et al. Estimation of multi‐junction solar cell parameters
Hijazi et al. Polynomial SDP cuts for optimal power flow
CN105389670A (en) Power grid node importance degree determination method
CN108900345B (en) Power telecom network fragility link detects localization method
Grammatikis et al. Sdn-based resilient smart grid: The sdn-microsense architecture
CN108390846A (en) A kind of Organization of African Unity's tune power plant aut omation information access safety management system and method
Yadav et al. Annual periodicity in the seismicity and water levels of the Koyna and Warna Reservoirs, Western India: A singular spectrum analysis
Zhang et al. Method to enhance traffic capacity for two-layer complex networks
Liu et al. Evaluating the reliability of blockchain based internet of things applications
Kim et al. Ensuring data freshness for blockchain-enabled monitoring networks
Steiner et al. An investigation of solar cell interconnection schemes within CPV modules using a validated temperature‐dependent SPICE network model
DE112022000856T5 (en) UNIFIED POLICY ENFORCEMENT MANAGEMENT IN THE CLOUD
Amarendra et al. Security enhancement in power system using FACTS devices and atom search optimization algorithm
CN105307185B (en) A kind of gunz cooperation spectrum sensing method based on data purification
CN104881436A (en) Power communication equipment performance analyzing method and device based on big data
Koopmans et al. Voltage deficit in wide bandgap perovskite solar cells: the role of traps, band energies, and effective density of states
Rawat et al. A novel hybrid parameter estimation technique of solar PV
Su et al. TrendRank method for evaluating the importance of power grid nodes considering information network
Baudrit et al. Theoretical optimization of GaInP/GaAs dual‐junction solar cell: Toward a 36% efficiency at 1000 suns
Maniadakis et al. On the temporal evolution of backbone topological robustness
Prasad et al. Approaches to smart grid network communication and security
Dylewsky et al. Engineering structural robustness in power grid networks susceptible to community desynchronization
Ji et al. Comprehensive vulnerability assessment and optimization method for smart grid communication transmission systems
CN102593825A (en) Method for acquiring power flow of annular power distribution network based on virtual constant current load

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