CN106713043A - Communication network modeling analysis method for physical information fusion system - Google Patents
Communication network modeling analysis method for physical information fusion system Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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Abstract
The invention provides a communication network modeling analysis method for a physical information fusion system. The communication network modeling analysis method comprises a communication network modeling stage and a communication network communication performance analysis stage; the communication network modeling stage comprises a communication network node, communication network branch modeling and communication network modeling; the communication network communication performance analysis stage comprises searching a communication path by path search according to an established communication network model, calculating and analyzing the communication performance of the communication path by using a communication performance analysis function, and realizing mutual data connection with other applications in the communication network through an interactive interface, wherein the communication performance analysis is determined according to specific demands; and the communication performance of communication networks corresponding to different electric power applications can be analyzed to accurately research the influence of the communication information system to an electric power system, and provide foundation for overall modeling and analysis of physical electric power information fusion systems.
Description
Technical field
The invention belongs to power information physics emerging system modeling analysis technical field, a kind of Information is specifically related to
The communication network modeling and analysis methods of physics emerging system.
Background technology
With the development of intelligent grid and energy internet, the influence problem that the communication information alleviates to physical system will more
It is prominent.Intelligent grid positions exactly one novel power grid operated on advanced IT technologies, its number of sensors, information in itself
Network size and decision package quantity are all greatly increased, and the development of energy internet is further by various energy resources system and information
System is coupled.It can be said that the normal operation of power system now does not rely on a reliable information system all the time
System, due to this dependence, the failure of information system will also significantly affect the operation of physical system.
Existing power system modeling, analysis are directed to what conventional electric power system was grown up with control method, wherein
The influence of power information system is not taken into full account.Due to there is substantial amounts of sensing equipment in intelligent grid, and height is relied on
Communication network realizes that information collects, and then control is optimized to system, therefore as the important component of intelligent grid, electricity
Operation action of the force information system to power system in itself has significant impact.Therefore, research Information physics fusion system
The communication network modeling of system and analysis method, to realizing that intelligent grid has important impetus.
The content of the invention
Goal of the invention：In order to overcome the deficiencies in the prior art, in order to study Communication Information System to power system
Influence, promote the Holistic modeling of power information physics emerging system, the present invention provides a kind of Information physics emerging system
Communication network modeling and analysis methods, using modeling and analysis methods of the invention, can be to the communication corresponding to different electric power applications
Network carries out the analysis of communication performance and accurately studies influence of the Communication Information System to power system, is that power information physics melts
The Holistic modeling of syzygy system provides basis with analysis.
Technical scheme：To achieve the above object, the communication network modeling of a kind of Information physics emerging system of the invention
Analysis method, including communication network modelling phase and communications network performance evaluation stage；
The communication network modelling phase comprises the following steps：
S11 is modeled according to communications network state to communication net node and communication network branch road：
Under communications network normal condition：
If communication net node and communication network branch road are lij, lijMemory buffer queue length be expressed as Qij, lijData at
Reason ability is expressed as Cij, lijThe speed that middle signal is flowed into is expressed as Vij, lijCommunication performance be expressed as LijIf, communication performance Lij
It is multi-component system form, multi-component system communication performance LijDetermined according to Analysis on communication performances demand, if output variable Y=Lij, input change
Amount u=(Cij,Vij)T, state variable X=Qij, then communication net node and communication network branch model are expressed as：
Y (t)=Ak X’(t)+Bku(t)
X ' (t)=CkX(t)+Dku(t)
Above-mentioned Ak, Bk, Ck, DkIt is constant, Ak, Bk, Ck, DkValue is determined that wherein K values are by leading to by communication protocol and communications status
Letter Network Communication Determines, under communications network normal condition：Take AkIt is A1, BkIt is B1, CkIt is C1, DkIt is D1；Communication network congestion shape
Under state：Take AkIt is A0, BkIt is B0, CkIt is C0, DkIt is D0,
Communication net node and communication network branch model under communication network different communication state：
The modeling method for introducing finite automaton is modeled to communication net node and communication network branch road, introduces two tuplesWherein SkIt is discrete state set,It is discrete state transfer function, discrete state transfer functionWith system
State variable X is relevant with constraints α, and the hybrid model table of communication net node and communication network branch road is obtained by above-mentioned analysis
It is shown as following multi-component system：
In above-mentioned formula, Sk, Ak, Bk, Ck, DkMiddle K values are by communications network Determines, communications network normal condition
Under：Take SkIt is S1, AkIt is A1, BkIt is B1, CkIt is C1, DkIt is D1；Under communication network congestion state：Take SkIt is S0, AkIt is A0, BkIt is B0, Ck
It is C0, DkIt is D0；
S12 is modeled to communication network：
If communication network includes n communication node, communication network is described using communication network adjacency matrix L, the structure of matrix L is determined
Justice is as follows：
L in above-mentioned formulaijIn
When between communication net node i and communication net node j without being directly connected to, communication network branch road lijCommunication performance Lij
=0；When being directly connected between communication net node i and communication net node j, communication network branch road lijCommunication performance LijIt is not
0；
The communications network performance evaluation stage comprises the following steps：
S21 carries out communication path search step first against the communication pessimistic concurrency control that above-mentioned steps are set up, and obtains communication path；
S22 is referred to using the different performance that Analysis on communication performances functional analysis calculates the communication path that the step S21 is obtained
Mark, obtains Analysis on communication performances result；
S23 by the Analysis on communication performances result by interactive interface export to power information physics emerging system other
In.
Further, in the step S21, communication path or logical is specifically searched out according to communication layers different routing protocol
Cross static configuration mode direct access communication path.
Further, the Analysis on communication performances includes that communication delay analysis, outage probability analysis and error of transmission are general
Rate is analyzed, then multi-component system communication performance Lij=(Tij,PBij,PMij)T, wherein TijRepresent communication net node and communication network branch road
Communication delay, PBijRepresent the outage probability and P of communication net node and communication network branch roadMijRepresent communication net node and communication network
The transmission error probability of branch road.
Further, the Analysis on communication performances demand of the other application according to power information physics emerging system is to communication network
The communication performance multi-component system L of node and communication network branch roadijIt is extended, power information is received particular by the interactive interface
The Analysis on communication performances demand of the other application of physics emerging system.
Beneficial effect：The present invention compared with the prior art, it is an advantage of the invention that:
1st, using modeling and analysis methods of the invention, the communication network corresponding to different electric power applications can be communicated
The analysis of performance and accurately study influence of the Communication Information System to power system, be the entirety of power information physics emerging system
Modeling provides basis with analysis；
2nd, possesses scalability for communications analysis application, major embodiment analyzes relative with computational methods only in different application
It is vertical, to same communication performance, can according to demand set up different analysis methods, such as certainty delay value, or time delay it is general
Rate distribution calculating etc.；
3rd, possess scalability for interactive interface, be mainly reflected in that the analysis result of communication layers application can be by difference
Interactive interface, access different places.An Kong main websites can be such as accessed, for analyzing peace control performance.Electric power can also be accessed
Control centre, is applied to the applied analysis of control centre.
Brief description of the drawings
Fig. 1 is performance analysis of communication method structure chart proposed by the present invention.
Fig. 2 is embodiment of the present invention communication network architecture figure.
Specific embodiment
The present invention is further described below in conjunction with the accompanying drawings.
The present invention proposes a kind of communication network modeling and analysis methods of Information physics emerging system, including communication network is built
Mode step section and communications network performance evaluation stage；The communication network modelling phase include communication net node, communication network branch road modeling and
Communication network is modeled；The communications network performance evaluation stage includes, according to the communication pessimistic concurrency control set up, by route searching, searching
Communication path, carries out calculating analysis to the communication path communication network performance, and connect by interaction using Analysis on communication performances function
Mouth realizes that data are interconnected with other application in communication network, and Analysis on communication performances determines according to real needs, for example, communicativeness
Can analyze includes communication delay performance evaluation, communication interruption probability analysis and communication mistake probability analysis；
The modeling of communication net node and communication leg：
The modeling of communication net node and communication network branch road is mainly used in describing the logical of the communication net node and communication network branch road
Letter performance and the relation between the communication net node and the state variable monitored of communication network branch road, communication net node and communication
Net branch road includes memory buffer, and the packet into communication net node and communication network branch road is initially stored in the communication net node
Medium with the memory buffer of communication network branch road pending and transmission；Note：Under different communication protocol, data transmission mechanism is different；
Even if under same communication protocol, (communication network different communication state includes communications network to communication network under different communication state
Normal condition, communications network congestion state etc.) transmission mechanism of data also differs, and data transmission mechanism is differed, and is caused
The state space description of communication net node and communication network branch road is differed under different conditions, therefore, in order to describe different conditions it
Between communication net node and communication network branch road state space, introduce finite automaton modeling method, description the method it
Before, the modeling first to communication net node and communication network branch road under communications network normal condition is described：
It is located under a certain communication protocol, under communications network normal condition, for communication net node and communication network branch road table
It is shown as lij, lijMemory buffer queue length be expressed as Qij, lijData-handling capacity be expressed as Cij, lijWhat middle signal was flowed into
Speed is expressed as Vij, lijCommunication performance be expressed as LijIf, communication performance LijIt is multi-component system form, multi-component system communication performance Lij
Determined according to Analysis on communication performances demand, if output variable Y=Lij, input variable u=(Cij,Vij)T, state variable X=Qij,
Then communication net node and communication network branch model are expressed as：
Y (t)=Ak X’(t)+Bku(t)
X ' (t)=CkX(t)+Dku(t)
For A in above-mentioned formulak, Bk, Ck, DkIt is constant, Ak, Bk, Ck, DkIt is worth and is determined by communication protocol and communications status, its
Middle K values by communications network Determines, under communications network normal condition：Take AkIt is A1, BkIt is B1, CkIt is C1, DkIt is D1；It is logical
Under letter net congestion state：Take AkIt is A0, BkIt is B0, CkIt is C0, DkIt is D0, then under communications network normal condition, communication net node
It is expressed as with communication network branch model：
Y (t)=A1X’(t)+B1u(t)
X ' (t)=C1X(t)+D1u(t)
In order to describe the state space of the communication net node between different conditions and communication network branch road, two tuples are introduced Wherein SkIt is discrete state set,It is discrete state transfer function, discrete state transfer functionWith system mode
Variable X is relevant with constraints α, and the hybrid model for obtaining communication net node and communication network branch road by above-mentioned analysis is expressed as
Following multi-component system：
In above-mentioned formula, Sk, Ak, Bk, Ck, DkMiddle K values are by communications network Determines, communications network normal condition
Under：Take SkIt is S1, AkIt is A1, BkIt is B1, CkIt is C1, DkIt is D1；Under communication network congestion state：Take SkIt is S0, AkIt is A0, BkIt is B0, Ck
It is C0, DkIt is D0；
Communication network is modeled：
The topological connection relation of communication network is described using matrix, if communication network includes n communication node, using communication
Net adjacency matrix L describes communication network, and the structure of matrix L is defined as follows：
L in above-mentioned formulaijIn
When between communication net node i and communication net node j without being directly connected to, communication network branch road lijCommunication performance Lij
=0；When being directly connected between communication net node i and communication net node j, communication network branch road lijCommunication performance LijIt is not
0；
lijCommunication performance be expressed as LijIf, communication performance LijIt is multi-component system form, multi-component system communication performance LijAccording to logical
Letter performance evaluation demand determines, if Analysis on communication performances includes that communication delay analysis, outage probability analysis and error of transmission are general
Rate is analyzed, then multi-component system communication performance Lij=(Tij,PBij,PMij)T, wherein TijRepresent communication net node and communication network branch road
Communication delay, PBijRepresent the outage probability and P of communication net node and communication network branch roadMijRepresent communication net node and communication network
The transmission error probability of branch road；
The Analysis on communication performances demand of the other application according to power information physics emerging system is to communication net node and leads to
Believe the communication performance multi-component system L of net branch roadijIt is extended, power information physics emerging system is received particular by interactive interface
Other application Analysis on communication performances demand, such as bit error rate, and newly-established model will not to existing model produce shadow
Ring；
The communications network performance evaluation stage：
The modeling method proposed using above-mentioned steps carries out communication network modeling, and mould is constantly carried out according to communication network real time data
Shape parameter refreshes and obtains real-time Communication for Power pessimistic concurrency control；For real-time Communication for Power pessimistic concurrency control, obtain logical by communication path function of search
Letter path, specifically searches out communication path or logical by static configuration mode direct access according to communication layers different routing protocol
Letter path, it is the base application of Analysis on communication performances to find communication path；Calculated using Analysis on communication performances functional analysis and obtained
Communication path different performance index, Analysis on communication performances result is obtained, for example with communication delay analysis, outage probability point
Analysis and transmission error probability analytic function carry out communications analysis；Analysis on communication performances result is exported to electricity by interactive interface
In the other application of force information physics emerging system；
For the scalability of communications analysis application, major embodiment analyzes relatively independent with computational methods in different application,
To same communication performance, different analysis methods, the probability point of such as certainty delay value, or time delay can be according to demand set up
Cloth calculating etc., to the new model for adding in communication pessimistic concurrency control, it is also desirable to extend corresponding analysis method.
Scalability to interactive interface is mainly reflected in that the analysis result of communication layers application can be by different interactions
Interface, accesses different places.An Kong main websites can be such as accessed, for analyzing peace control performance, it is also possible in accessing Electric control
The heart, is applied to the applied analysis of control centre；
The present invention can describe the communication performance of communication network and carry out correlation analysis to it, can be used to study communication to electricity
The influence of Force system, for the analysis of information physical emerging system provides basis.
As shown in figure 1, model parameter refreshing is constantly carried out according to communication network real time data and real-time Communication for Power pessimistic concurrency control is obtained,
Set up by real-time Communication for Power pessimistic concurrency control, the inventive method is realized in Analysis on communication performances application, interactive interface application；In communication network
Model describes communication network during setting up using communication network association matrix L, according to power information physics emerging system other
The Analysis on communication performances demand of application is to communication net node and the communication performance multi-component system L of communication network branch roadijIt is extended, specifically
It is the Analysis on communication performances demand of the other application that power information physics emerging system is received by interactive interface, such as bit error rate
Deng, and newly-established model will not produce influence to existing model；, it is necessary to communication path in Analysis on communication performances application
Search obtains communication path, and communication delay analysis, outage probability analysis and transmission error probability are then carried out to communication path
Analysis, is also extended, for the scalability of communications analysis application, main body using application extension area to applied analysis in addition
Now analyze relatively independent with computational methods in different application, to same communication performance, can according to demand set up different analyses
Method, probability distribution calculating of such as certainty delay value, or time delay etc., to the new model for adding in communication pessimistic concurrency control, also need
Extend corresponding analysis method；Data transfer with other application in communication network is completed using interactive interface, interactive interface
Function is the other application result of Analysis on communication performances exported by interactive interface to power information physics emerging system, or
The Analysis on communication performances demand that person passes through other application of the data interaction interface from power information physics emerging system, connects
Mouth expansion area is mainly reflected in that the analysis result of communication layers application can access different places by different interactive interfaces.
An Kong main websites can be such as accessed, for analyzing peace control performance, it is also possible to access power control center, answering for control centre is applied to
With analysis.
Embodiment：
Reference picture 2, specific embodiment of the present invention is illustrated by taking security and stability control SDH communication networks as an example.In SDH
What the nodes of 11 and SDH 21 were connected respectively is to pacify control substation and perform station arrangement, and substation is logical by point-to-point optical fiber with execution station
Letter mode is communicated；Application method of the present invention for convenience of explanation, herein only with simplest communication net node and branch road
Model analysis communication port fault rate.
Under communication network normal condition, communication net node and communication network branch road are modeled, and to communication net node and communication network
The communication port fault rate of branch road is analyzed, the communication port fault rate constant table of communication net node and communication network branch road
Show：
Communication network is modeled, when between communication net node i and communication net node j without being directly connected to, communication network branch road lij's
Communication performance Lij=0；When being directly connected between communication net node i and communication net node j, communication network branch road lijCommunication
Performance Lij=Pi-j；
Communication network adjacency matrix L can be obtainedijIt is as follows：
Performance analysis of communication：
Communication path search is carried out first, because peace control business uses point-to-point communication mode, its route static configuration,
Its main path is 11-2-3-21, and backup path is 11-6-5-4-3-21；
Communication port outage probability is analyzed：
Pm=1-P11*P11-2*P2*P2-3*P3
Pb=1-P11*P11-6*P6*P6-5*P5*P5-4*P4*P4-3
Pv=Pm*Pb
Pv3-21=1-P3-21*P21
P11-21=Pv+Pv3-21-(Pv*Pv3-21)
Wherein, PmIt is the outage probability of main path (11-2-3), PbIt is the outage probability of backup path (11-6-5-4-3),
PvIt is node 11 to the outage probability of the communication of node 3, Pv3-21It is the outage probability of link 3-21, P11-21It is node 11 and node 21
The outage probability for being communicated；
Finally outage probability analysis result is exported by interactive interface, is used for follow-up analysis.
In the present embodiment, only account for communication interruption probability analysis, it is also possible to the modeling of expanding communication time delay etc. and point
Original analysis is applied after analysis method, and extension do not influence.
The above is only the preferred embodiment of the present invention, it should be pointed out that：Come for those skilled in the art
Say, under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be regarded as
Protection scope of the present invention.
Claims (4)
1. a kind of communication network modeling and analysis methods of Information physics emerging system, it is characterised in that：Including communication network modeling
Stage and communications network performance evaluation stage；
The communication network modelling phase comprises the following steps：
S11 is modeled according to communications network state to communication net node and communication network branch road：
Under communications network normal condition：
If communication net node and communication network branch road are lij, lijMemory buffer queue length be expressed as Qij, lijData processing energy
Power is expressed as Cij, lijThe speed that middle signal is flowed into is expressed as Vij, lijCommunication performance be expressed as LijIf, communication performance LijFor many
Tuple form, multi-component system communication performance LijDetermined according to Analysis on communication performances demand, if output variable Y=Lij, input variable u
=(Cij,Vij)T, state variable X=Qij, then communication net node and communication network branch model are expressed as：
Y (t)=Ak X’(t)+Bku(t)
X ' (t)=CkX(t)+Dku(t)
Above-mentioned Ak, Bk, Ck, DkIt is constant, Ak, Bk, Ck, DkValue is determined that wherein K values are by communication network by communication protocol and communications status
Communications status are determined, under communications network normal condition：Take AkIt is A1, BkIt is B1, CkIt is C1, DkIt is D1；Communication network congestion state
Under：Take AkIt is A0, BkIt is B0, CkIt is C0, DkIt is D0；
Communication net node and communication network branch model under communication network different communication state：
The modeling method for introducing finite automaton is modeled to communication net node and communication network branch road, introduces two tuplesWherein
SkIt is discrete state set,It is discrete state transfer function, discrete state transfer functionWith systematic state variable X and
Constraints α is relevant, and the hybrid model for obtaining communication net node and communication network branch road by above-mentioned analysis is expressed as many
Tuple：
In above-mentioned formula, Sk, Ak, Bk, Ck, DkMiddle K values by communications network Determines, under communications network normal condition：Take
SkIt is S1, AkIt is A1, BkIt is B1, CkIt is C1, DkIt is D1；Under communication network congestion state：Take SkIt is S0, AkIt is A0, BkIt is B0, CkIt is C0,
DkIt is D0；
S12 is modeled to communication network：
If communication network includes n communication node, communication network is described using communication network adjacency matrix L, the structure definition of matrix L is such as
Under：
L in above-mentioned formulaijIn
When between communication net node i and communication net node j without being directly connected to, communication network branch road lijCommunication performance Lij=0；When
When being directly connected between communication net node i and communication net node j, communication network branch road lijCommunication performance LijIt is not 0；
The communications network performance evaluation stage comprises the following steps：
S21 carries out communication path search step first against the communication pessimistic concurrency control that above-mentioned steps are set up, and obtains communication path；
S22 calculates the different performance index of the communication path that the step S21 is obtained using Analysis on communication performances functional analysis, obtains
To Analysis on communication performances result；
S23 exports to the other application of power information physics emerging system the Analysis on communication performances result by interactive interface
In.
2. communication network modeling and analysis methods of Information physics emerging system according to claim 1, it is characterised in that：
In the step S21, communication path or straight by static configuration mode is specifically searched out according to communication layers different routing protocol
Obtain and take communication path.
3. communication network modeling and analysis methods of Information physics emerging system according to claim 1, it is characterised in that：
The Analysis on communication performances includes communication delay analysis, outage probability analysis and transmission error probability analysis, then multi-component system is led to
Letter performance Lij=(Tij,PBij,PMij)T, wherein TijRepresent communication delay, the P of communication net node and communication network branch roadBijRepresent logical
The outage probability and P of letter net node and communication network branch roadMijThe error of transmission of expression communication net node and communication network branch road is general
Rate.
4. communication network modeling and analysis methods of the Information physics emerging system according to claim 1 or 3, its feature exists
In：The Analysis on communication performances demand of the other application according to power information physics emerging system is to communication net node and communication network branch
The communication performance multi-component system L on roadijIt is extended, power information physics emerging system is received particular by the interactive interface
The Analysis on communication performances demand of other application.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107423493A (en) * | 2017-07-02 | 2017-12-01 | 国电南瑞科技股份有限公司 | A kind of power information physical coupling modeling method based on incidence matrix |
| CN110266566A (en) * | 2019-07-16 | 2019-09-20 | 华北电力大学（保定） | A kind of appraisal procedure of powerline network transmission performance |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102801568A (en) * | 2012-08-31 | 2012-11-28 | 桂林电子科技大学 | Method and device for dynamically evaluating reliability of network |
| CN103179001A (en) * | 2013-04-17 | 2013-06-26 | 重庆邮电大学 | Method for evaluating reliability of electric power telecommunication network based on operating path information |
| WO2015022019A1 (en) * | 2013-08-13 | 2015-02-19 | Siemens Aktiengesellschaft | Method and system for planning a communication network of an industrial automation system |
| CN104701989A (en) * | 2015-03-20 | 2015-06-10 | 国家电网公司 | Electric network and communication network heterogeneous dual-network coupling modeling method under background of intelligent power grid |
| CN104882970A (en) * | 2015-06-29 | 2015-09-02 | 中国电力科学研究院 | Distributed cooperative interaction method based on complete communication topology matrix for active power distribution network |
-
2016
- 2016-12-30 CN CN201611253128.4A patent/CN106713043B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102801568A (en) * | 2012-08-31 | 2012-11-28 | 桂林电子科技大学 | Method and device for dynamically evaluating reliability of network |
| CN103179001A (en) * | 2013-04-17 | 2013-06-26 | 重庆邮电大学 | Method for evaluating reliability of electric power telecommunication network based on operating path information |
| WO2015022019A1 (en) * | 2013-08-13 | 2015-02-19 | Siemens Aktiengesellschaft | Method and system for planning a communication network of an industrial automation system |
| CN104701989A (en) * | 2015-03-20 | 2015-06-10 | 国家电网公司 | Electric network and communication network heterogeneous dual-network coupling modeling method under background of intelligent power grid |
| CN104882970A (en) * | 2015-06-29 | 2015-09-02 | 中国电力科学研究院 | Distributed cooperative interaction method based on complete communication topology matrix for active power distribution network |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107423493A (en) * | 2017-07-02 | 2017-12-01 | 国电南瑞科技股份有限公司 | A kind of power information physical coupling modeling method based on incidence matrix |
| CN110266566A (en) * | 2019-07-16 | 2019-09-20 | 华北电力大学（保定） | A kind of appraisal procedure of powerline network transmission performance |
| CN110266566B (en) * | 2019-07-16 | 2022-07-01 | 华北电力大学（保定） | Method for evaluating transmission performance of power communication network |
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