CN109951245A - Multi-source end noise modeling method under the complex topology environment of multinode multirouting - Google Patents
Multi-source end noise modeling method under the complex topology environment of multinode multirouting Download PDFInfo
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Abstract
In the considerations of present invention devises a kind of multi-source end noise modeling method under the complex topology environment based on multinode multirouting, and topological structure in actual power line communication scenes is complicated, and the characteristic of power load type multiplicity brings noise modeling into.This method mainly comprises the steps that A. builds complicated test power utilization network, and measures each source noise and receiving end noise time domain waveform；B. analysis is carried out to each actual measurement noise waveform using MATLAB software and extracts key parameter, then each source noise is modeled by Markov-Middleton impulsive noise model；C. analysis test power utilization network topological structure, establishes distance matrix, is modeled according to multinode channel modeling method to the channel between source and receiving end；D. the mutually incoherent property that noise is generated according to electrical appliance is superimposed comprehensive complete to receiving end noise modeling by noise in conjunction with source noise modeling and Channel Modeling；E. the correctness of the extraction and analysis verification method from the analysis of time domain specification and to simulation sequence mathematical statistics characteristic.
Description
Technical field
The present invention relates to a kind of noise modeling methods of power line channel receiving end under environment for complex topology.Specifically
Be under a kind of complex topology structure based on multinode multirouting, the electrical appliance different for position different type is unified
Receiving end at generate complicated integrated noise modeling method research.
Background technique
Plc communication does not account for frequency spectrum resource, low in cost, in extensive range, real-time online, conveniently moving and communication due to it
Many advantages, such as rate is fast becomes a kind of communication technology increasingly by researcher's extensive concern, and in recent years in the energy
Under information-based overall background, the successive proposition of the series of concepts such as smart grid, Internet of Things, energy internet, ubiquitous network, PLC
Advantage of the communication technology in terms of energy measurement and control is prominent, becomes the emerging technology under a kind of epoch overall background, with pole
Its vast development prospect.Nowadays, automatic data logging (Automated Meter Reading, AMR) and instrument and meter for automation management
Technologies such as (Automated Meter Management, AMM) are promoted in some areas.
Noise in low voltage power line communication channel is complicated more than the noise in other dedicated communication lines, and seriously affects electric power
Line communication performance is one of the main starting point in power line communication theoretical research field.
Different from other conventional communication channels, the noise jamming of power line communication channel is sufficiently complex, can substantially be divided into
Two class of ambient noise and impulsive noise, mainly influence communication quality is the impulsive noise in channel, therefore noise modeling is most
It concentrates in analysis and modeling to impulsive noise characteristic.So far, experts and scholars mainly propose 3 kinds and are widely recognized as research
Impulsive noise model, be Middleton Class A model respectively, Markov model and to the comprehensive of both modeling methods
It closes and applies Markov-Middleton model.Now mainly Markov-Middleton noise modeling method is introduced.The mould
The probability density function of type are as follows:
Wherein:
In PLC channel, formula (1) parameter nkIt is impulsive noise sample.P in formula (2)mIndicate m state probability of happening.Formula
(3) p' inmIt indicates from instantaneous transfering state to the transition probability of m state.In formula (4)Indicate the noise variance of particular state.
What is indicated in addition there are formula (5) x is state transition probability, the statistical probability for utilizing x and each state to occur, Ke Yiji
Calculating formula (6), what P was indicated is a Markov state-transition matrix, is the trend of sequence state variation.The Markov-
Middleton model can be indicated by conditional Gaussian partition noise sequence.Noise sample is the arteries and veins with Markov property
Sequence is rushed, each time sample value is indicated with random noise state m.The noise states be from set m ∈ (m=0,1,2,
3 ...) in selection, and its obey Markov distribution, as shown in formula (6).According to formula (2) each noise sample in Gauss point
Cloth, its variance are determined by noise states m.A is Impact Index in formula (3), is equal to received average pulse in the unit time
Several products with the pulse duration.Γ is the mean power of Gaussian noise componentWith the mean power of impact noise componentRatio,X is state transition probability in formula (5), can pass through the typical pulse width of actual measurement noise sample
It obtains.
The present invention directly uses Markov-Middleton impulsive noise model modeling source impulsive noise.The model can be with
It is advantageously applied to the modeling of source impulsive noise, it is preferable in the noise sequence effect of performance single characteristic, count special from PDF etc.
The key property of source impulsive noise can be preferably restored in property and in burst length correlation.
In actual scene, for receiving end noise modeling, due to the topological environmental of power line network complexity and multiple
The joint effect of diverse source load, causes receiving end noise to have multiple completely different impulsive noise characteristics,
Time domain waveform is extremely complex, is difficult therefrom to extract key parameter and is modeled.Therefore it set forth herein from source noise, utilizes
Multinode broadband low voltage power line communication channel response modeling method calculates the h (t) between each source and receiving end, makes an uproar in conjunction with source
The receiving end impulsive noise of sound and respective channels response modeling complexity.
Conventional channel modeling method is mostly based on point-to-point channel, and power line network essence is a multirouting multinode
Communication network, therefore traditional channel modeling method performance actual power line network communication channels characteristic on limitation very
Greatly.Based on such a problem, the present invention is based on multinode power line channel modeling method with reference to one kind, is with branch node
Sub-network center splits network, finally realizes the modeling of the complex topology network channel to entire multinode multirouting.
It, can be between the transmitting terminal s and receiving end t of arbitrary signal by way of graph theory according to Two-port netwerk model theory
The parallel branch route situation of each node on the way is analyzed to calculate channel frequency response between the topology lower node.The present invention is to receive and dispatch
Centered on trunk node between node, sub-network one by one is split out, the channel response of entire labyrinth is converted into one
The tired of each and every one sub-network multiplies process.The calculation formula of its model is as follows:
Specific solution procedure are as follows: parse given power line network topology, obtain transmitting-receiving node trunk node collection P, such as scheme
Middle n ∈ P | and s → t }, wherein s is information source node, and t is terminal node.Node n in analysis node collection P one by onei, according to branch
Line condition more new node niEquivalent impedanceTo which branched line parameter matrix can be obtained by formula (1)Then by formula
(2) n-th is calculatediA sub- network parameter matrixAnd passed through by formula (3) to sub- network parameter matrixTire out it is multiplied to complete
The parameter matrix T of networks,t, N is the node total number in node collection P in formula (3)；For source node s to first middle node
Point m0Cascade parameter matrix；For the last one intermediate node mNTo the cascade parameter matrix of end node t.It is last according to
On matrix the channel response H shown in formula (4) between s and t can be obtaineds,t(f), wherein ZsFor transmitting terminal source termination impedance, ZtFor
Receiving end load impedance finally carries out Fourier inversion to it and obtains its channel response hs,t(t)。
It can be obtained under the Complex Power line topological structure environment of entire multinode multirouting according to above step method,
The different source noise of each position variety classes is to the channel transfer function between unified receiving endEtc., in conjunction with the time domain modeling of the source noise of front, each source is obtained to receiving end
Terminal pulse noise, using different electrical appliances generate noise incoherence, receiving end to each terminal noise carry out
Superposition synthesis, can be completed the modeling based on multi-source end impulsive noise under complicated power utilization network.
Summary of the invention
The main object of the present invention is to provide a kind of modeling method for most of practical power utilization network receiving end noises.
The present invention brings the complex topology structure characteristic of power line channel and a variety of coefficient situations of load into
In the considerations of noise modeling, for this purpose, the following technical solution is employed by the present invention:
A. the impulsive noise waveform of coupler and all kinds of common electrical appliances of PicoScope actual measurement is utilized, and is utilized
The complicated power utilization network of a multinode multirouting is built in these electrical appliances and a large amount of sockets, and measurement receiving end power line is made an uproar
Acoustic wave form, and in this, as the object compared；
B. a large amount of actual measurement noise waveforms PicoScope measurement obtained export on PC, and are analyzed with MATLAB software
Key parameter A, the Γ of noise sequence are extracted,X, and Markov-Middleton impulsive noise is utilized according to these parameters
Model carries out noise modeling to each electrical appliance respectively, restores respective noise characteristic；
C. it analyzes the test power utilization network built, and distance matrix mat is established according to the distance between its node, and according to
Mat matrix models the channel between each electrical appliance and receiving end using multinode channel response model, obtains pair
The channel response function h answered1(t),h2(t),h3(t)...；
D. obtained source noise waveform S will be modeled above1(t),S2(t),S3(t) ... its corresponding channel response of convolution
h1(t),h2(t),h3(t) ... each noise waveform I for being supported on receiving end, is obtained1(t),I2(t),I3(t) ..., then sharp
The integrated noise waveform I (t) of final receiving end is obtained with the mutually incoherent property that electrical appliance generates noise, algorithmic formula is such as
Under:
E. wave is emulated finally by receiving end noise time domain waveform in comparison actual measurement power utilization network and multi-source end noise modeling
Shape verifies the correctness of the noise model from time domain specification angle and mathematics statistical property angle analysis.
The beneficial effects of the present invention are provide a kind of noise modeling based on receiving end for practical electricity consumption scene
Method, this method have effectively evaded parameter under the existing complicated power utilization environment of noise model reply and have been difficult to the problem of extracting, and will be big
The diversity of power line network complex topology structure characteristic and electrical appliance type is brought noise into and is built in most reality scenes
In mould.Impulsive noise modeling method simulated effect in receiving end provided by the invention is accurate, can be good at meeting laboratory environment
The requirement of receiving end impulsive noise in Imitating reality scene power line has the research of power line noise and communication the relevant technologies
Significance.
Detailed description of the invention
In order to illustrate more clearly of modeling method proposed by the present invention, figure solution is provided to some concepts of foregoing description
It releases.
Fig. 1 is multi-source end noise modeling method.
Fig. 2 is a kind of typical distribution network topological structure.
Fig. 3 is the measurement circuit for simulating practical electricity consumption scene.
Fig. 4 is the logic diagram of the multi-source end noise modeling method based on power line network complex topology structure.
Fig. 5 is multi-source end noise model analogous diagram.
Specific embodiment
Below in conjunction with the attached drawing in the present invention, the modeling method in the present invention is clearly and completely described.
Fig. 1 gives theoretical block diagram of the invention, it is contemplated that receiving end noise is by each source noise in reality scene
The superimposed noise formed after the effect of different power line channels causes to survey noise characteristic multiplicity in receiving end under reality scene, when
Domain waveform is complicated, has seriously affected the extraction of its modeling parameters, and causing existing modeling method to model it, effect is very poor or even nothing
Method modeling.The present invention is proposed from the time domain modeling of each source noise, using Markov-Middleton model to single
The outstanding modeling effect of source noise, reappears its time domain specification, then by the topological structure between each source and receiving end
It carries out analytical calculation and obtains different channel response h1(t)、h2(t)、h3(t) ... the Model in Time Domain of source noise, is finally integrated
With each source noise is obtained after transfer function in the actual waveform of receiving end, then realize to reception in such a way that noise is superimposed
Hold the time domain modeling of Complex Noise.
As shown in Fig. 2 typical distribution network topological structure, each of figure node are likely to be noise source
End node, and noise source end node quantity is not unique, and the topological structure of power line network is sufficiently complex as can be seen from Figure 2
, numbers of branches is big, and branched structure is changeable, and it is very difficult that this results in the calculating of the transfer function in power line network.It is right
For the noise modeling of multi-source end, find an accurate channel response modeling method very it is necessary to.The present invention uses more
Node channel response modeling method is with the trunk node collection P ∈ { n between transmitting-receiving node s and t1,n2,n3,n4,n5Centered on, it will
Entire complex topology network is divided into relatively simple sub-network one by one, then uses corresponding model according to sub-network type
It is modeled to obtain the parameter matrix of each branched lineAnd niParameter matrix of the node on basic routing lineFinally
This little parameter matrix tire out and multiplies the channel transfer function T being calculated between transmitting-receiving nodes,t。
Fig. 3 gives the test power utilization network for the simulation actual complex electricity consumption scene built according to step A design, main to wrap
Contained LISN, phone charger, electronic air extracting pump, laptop, hair dryer, desk lamp, a large amount of sockets, coupler and
PicoScope oscillograph, and in this, as the object of modeling and comparison, verify the accuracy of model.
According to step B, each electrical appliance is individually tested using PicoScope, it is obtained and surveys noise waveform,
Crucial modeling parameters are therefrom extracted, as shown in table 1.The Markov- to each source noise is completed using these modeling parameters
The modeling of Middleton impulsive noise.
The state transition probability and state-transition matrix of 1 source noise of table
Step C about the measuring circuit topological structure that Channel Modeling analysis chart 3 first provides, and establishes its distance with this
Then matrix mat carries out the calculating of respective channels response according to transmitting-receiving node and multinode channel modeling method.
The logical construction provided later according to step D and Fig. 4, in conjunction with existing source noise model and its corresponding letter
Road response model, in the comprehensive receiving end noise modeling completed to Fig. 3 test circuit of the superposition that receiving end carries out noise.
Referring finally to step E, as shown in figure 5, giving this method for the modeling and simulating of Fig. 3 as a result, can obviously see
Its time domain waveform includes two kinds of completely different impulsive noises out, one is intensity is smaller but the very strong burst of polymerism is made an uproar
Sound, the second is intensity is larger but the general paroxysmal sporadic impulse noise of polymerism.Then by MATLAB to its time
The extraction and analysis of the statistical property of sequence demonstrates the accuracy of this method.
Claims (5)
1. a kind of modeling method based on low-voltage power line receiving end noise, it is characterised in that this method mainly includes following step
It is rapid:
S1. each source noise is modeled using Markov-Middleton impulsive noise model；
S2. it is modeled using channel of the multinode channel modeling method to each noise source to receiving end；
S3. time domain synthesis is carried out to source noise in receiving end, completes receiving end noise modeling under complicated electricity consumption scene.
2. noise modeling method according to claim 1, it is characterised in that Markov- described in step S1
The object of Middleton impulsive noise model modeling is each single electrical appliance based on actual measurement, when by actual measurement noise
The statistical analysis of domain waveform extracts different modeling parameters, A pulse strength, Γ Gaussian pulse power ratio, σm 2Noise variance and x
State transition probability, and go out the different source noise of the corresponding pulse characteristic of each load using these parameter models.
3. noise modeling method according to claim 1, it is characterised in that multinode Channel Modeling described in step S2
Method, this method is in view of between channel possessed by complex topology network of the power line channel as a multinode multirouting
Correlation restores its complex topology network structure, according to the position of signal sending end and receiving end by establishing distance matrix mat
It sets, determines intermediate node, and each sub-network is split out with this, then be inserted in classical Two-port netwerk model, it is tired finally by sub-network
The mode multiplied obtains the channel model between transmitting terminal and receiving end, using this channel modeling method to each source to reception
Channel between end is modeled respectively, can more comprehensively embody the complex topology of power line network multinode multirouting
Architectural characteristic.
4. noise modeling method according to claim 1, it is characterised in that time domain synthesis described in step S3, algorithm
It is as follows:
In formula (1), i represents household electrical appliance serial number number, and N represents electrical appliance sum；T represents time-domain sampling points；Si(t) it represents
The time-domain-simulation sequence of each source noise；hi(t) time-domain expression of the corresponding channel response of each source noise is then indicated；
I (t) then represents final receiving end multi-source end impulsive noise modeling result.
5. noise modeling method according to claim 1, it is characterised in that time domain synthesis described in step S3 is to combine
Source noise modeling and corresponding multinode channel modeling method, unified receiving end using electrical appliance generate noise it
Between mutually incoherent property, time domain be superimposed by way of obtain receiving end noise, the receiving end noise obtained according to this process
Each distinctive pulse characteristic of source noise is not only contained, power line network complex topology structure characteristic is also presented.
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| CN111174738A (en) * | 2019-12-31 | 2020-05-19 | 国网北京市电力公司 | Distance determination method, device, storage medium, processor and power distribution system |
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