CN104579868A - Construction method of electric powder communication network based on node importance - Google Patents

Abstract

The invention provides a construction method of an electric powder communication network based on node importance. The construction method comprises the following steps: acquiring a network model of the electric powder communication network, wherein the network model comprises nodes and links, the nodes are communication equipment in an electric powder communication system and the links are cables for connecting the nodes; calculating service weighed degrees of the nodes; calculating the node importance according to the service weighed degrees; acquiring a network model on each node added with corresponding importance and carrying out network topology analysis on the acquired network model and reliability test on the electric powder communication system. The electric powder communication network constructed by the method provided by the invention can be used for remarkably improving the accuracy of the reliable test of the electric power communication system.

Description

Based on the powerline network construction method of pitch point importance

Technical field

The present invention relates to power communication system technical field, particularly relate to a kind of powerline network construction method based on pitch point importance.

Background technology

Power communication system is the important part of electric power system, and its reliability directly has influence on safety in production and the reliability service of electric power system.Reliability determination is carried out to power communication system, the operation conditions of current network can be understood on the whole, Timeliness coverage weak link and fault, thus provide direct foundation for failture evacuation and the network rebuilding, and then ensured the stability of powerline network, improve communication quality.

As the communication private network of electric power system, power communication carries diversified business on the net, dissimilar business has different guaranteeing roles to electric power primary system, power business importance degree refer to service disconnection or after losing efficacy to the extent of injury of power system security and stability.Business importance degree reflects the communication environment requirement of power business to the influence degree of electric power system and business, is the important indicator of energy communication service risk assessment.But current powerline network model only shows node and link mostly, and when carrying out the reliability determination of power communication system, accuracy is lower.

Summary of the invention

Based on this, the invention provides a kind of powerline network construction method based on pitch point importance, the powerline network that the method builds, the accuracy of the reliability determination of power communication system can be significantly improved.

Based on a powerline network construction method for pitch point importance, comprise the steps:

Obtain the network model of power telecom network; Wherein, described network model comprises node and link, and described node is the communication equipment in power communication system, and described link is each bar optical cable of connected node;

The business being calculated described node by following formula adds measures and weights:

$s_i=\underset{j\∈N_i}{\mathrm{\Σ}}{w}_{\mathrm{ij}};$

Wherein, s _ifor node v _ibusiness add measures and weights, m _ijrepresent link e _ijthe classification sum of upper run business, n _ijkrepresent link e _ijon the number of kth class business that runs, v _ijkrepresent the business importance value of kth class business, N _inode v _ineighbour set;

Business according to described node adds measures and weights, is calculated the importance degree of described node by following formula:

$\mathrm{IMC}\left(v_i\right)=\sqrt[3]{W_i\×s_i\×\stackrel{\‾}{L_i}}$

Wherein, IMC (v _i) be node v _iimportance degree, W _ifor the node v preset _inode weight weight values, for the node v preset _ipolymerizing factor;

Obtain the network model each node being attached with corresponding importance degree, the network model obtained is carried out to the reliability determination of Network topology and power communication system.

The above-mentioned powerline network construction method based on pitch point importance, obtain the network model of power telecom network, to each node in network model, first measures and weights is added in conjunction with power business computing node business, the importance degree of each node is obtained again in conjunction with node weights, node aggregation coefficient calculations, obtain the network model each node being attached with corresponding importance degree, the accuracy of the reliability determination of power communication system can be significantly improved.

Accompanying drawing explanation

Fig. 1 is the powerline network construction method schematic flow sheet in one embodiment that the present invention is based on pitch point importance.

Fig. 2 is that certain economizes the schematic diagram of electrical network power communication transmitting shaft network to the powerline network construction method that the present invention is based on pitch point importance in one embodiment.

Fig. 3 is the pitch point importance change curve schematic diagram that the inventive method and existing weighting shrinking and Triangle Module fusion method calculate.

Embodiment

Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited thereto.

As shown in Figure 1, be the schematic flow sheet of a kind of powerline network construction method based on pitch point importance of the present invention, comprise the steps:

The network model of S11, acquisition power telecom network; Wherein, described network model comprises node and link, and described node is the communication equipment in power communication system, and described link is each bar optical cable of connected node;

S12, the business being calculated described node by following formula add measures and weights:

$s_i=\underset{j\∈N_i}{\mathrm{\Σ}}{w}_{\mathrm{ij}};$

Wherein, s _ifor node v _ibusiness add measures and weights, m _ijrepresent link e _ijthe classification sum of upper run business, n _ijkrepresent link e _ijon the number of kth class business that runs, v _ijkrepresent the business importance value of kth class business, N _inode v _ineighbour set;

S13, add measures and weights according to the business of described node, calculated the importance degree of described node by following formula:

$\mathrm{IMC}\left(v_i\right)=\sqrt[3]{W_i\×s_i\×\stackrel{\‾}{L_i}}$

Wherein, IMC (v _i) be node v _iimportance degree, W _ifor the node v preset _inode weight weight values, for the node v preset _ipolymerizing factor;

S14, obtain the network model each node being attached with corresponding importance degree, the network model obtained is carried out to the reliability determination of Network topology and power communication system.

Power communication carries diversified business on the net, and dissimilar business has different guaranteeing roles to electric power primary system, power business importance degree refer to service disconnection or after losing efficacy to the extent of injury of power system security and stability.Business importance degree reflects the communication environment requirement of power business to the influence degree of electric power system and business, is the important indicator of energy communication service risk assessment.From business, electric network influencing and QoS requirement two importance degrees of aspect to business are analyzed, utilize analytic hierarchy process (AHP) to set up the importance degree step analysis index system of business, computing service importance degree.

To electric network influencing index reflection business to the influence degree of power system operation, place of safety, bearing mode, service channel, the significance level of three two-level index to business is divided into again to analyze; QoS requirement reflection business to network the requirement of telecommunication service quality is provided, generally, the business relating to safe operation of power system requires all very high to telecommunication service quality, correspondingly also larger to the influence degree of power system operation, so QoS requirement also can embody the significance level of business from the side.

And according to technical field of electric power production run relevant regulations, utilize analytic hierarchy process (AHP) and business importance degree model of carrying to carry out the evaluation of business importance degree to typical services.The business importance value of 10 kinds of representative power communication services is obtained after normalization, as shown in the table:

According to the business importance degree result of calculation of upper table, circuit relay protection business importance degree is maximum, next is stable system and dispatching automation business, and this several business directly realizes the real-time monitoring to electric power primary system, is all the key businesses ensureing safe operation of power system; Conservative management information system for be secondary device, be the business of power system failure diagnostic and reprocessing, its importance degree is relatively low.In electric power enterprise operation management, ensure that momentous conference's safety is carried out also very important smoothly, corresponding video conferencing system business, higher than general management business, is to sum up analyzed, and business importance degree evaluation method is effectively feasible, and result of calculation tallies with the actual situation.

Run a large amount of power business in power telecom network, some important service such as circuit relay protection business has high requirement for service quality especially time delay.Conventional weight network adopts linkage length to weigh as limit, but for generally adopting the power telecom network of optical transport technology, distance is not the major influence factors of information transmission, and the carrier that link transmits as business, and business is the key factor affecting the network operation, therefore consider to weigh from operational angle evaluating network limit.

Weighted network can be described by set G=(V, E), comprises n node, and one group of limit e with weight, usually can represent with weighted adjacent matrix w, wherein matrix element w _ijrepresent the limit power that adjacent point-to-point transmission considers business, w _ij∈ [0, ∞), represent that respective link considers the business of the grade of service.If w _ij=0 represents that point-to-point transmission is without connection.

$w_{\mathrm{ij}}=\underset{k=1}{\overset{m_{\mathrm{ij}}}{\mathrm{\Σ}}}{n}_{\mathrm{ijk}}\×v_{\mathrm{ijk}}$

Wherein m _ijrepresent link e _ijthe classification sum of upper run business, n _ijkrepresent link e _ijon the number of kth class business that runs, v _ijkrepresent the business importance value of kth class business.

Using business after the power Consideration of consideration limit, obtain node and add measures and weights s _i, it is defined as:

$s_i=\underset{j\∈N_i}{\mathrm{\Σ}}{w}_{\mathrm{ij}}$

Wherein, N _iit is neighbour's set of node i.

The node of consideration business adds measures and weights s _iboth considered neighbour's number of node, considered again the business importance through this node and quantity, and be the comprehensive embodiment of this node local business information, reflect the relative importance of node from operational angle.

Node traffic adds measures and weights, electric network influencing Summing Factor polymerizing factor three indexs from business, function, topology three different angle description node relative importance in the entire network, integration node runs information in business, the weight of node itself and three, the status of node in topology, obtains the importance degree of node i:

$\mathrm{IMC}\left(v_i\right)=\sqrt[3]{W_i\×s_i\×\stackrel{\‾}{L_i}}$

Wherein, W _ifor the node electric network influencing factor of node, s _ifor node adds measures and weights, for the polymerizing factor of node.

Pitch point importance contains this node traffic, status, topology three layers of information, reflects the comprehensive significance level of node more comprehensively, has practical significance for power telecom network Node evaluation.

As Fig. 2, for certain electric power saving communications backbone network localized network, simulating, verifying is carried out to these computational methods.Artificial network topological structure G (V, E) as shown in Figure 2, comprise 14 nodes and 16 links, wherein No. 1 node is provincial control centre (middle tune), No. 13 nodes are regional dispatching center (adjust), No. 14 nodes are 220kV transformer station, and all the other nodes are 500kV transformer station, and the node electric network influencing factor is as shown in the table:

In its network, service distribution is as shown in the table:

The pitch point importance that the present embodiment method and existing weighting shrinking and Triangle Module fusion method calculate is analyzed, result is as shown in the table, for convenience of contrasting between distinct methods, unitization process is carried out to result of calculation, and draws pitch point importance change curve as shown in Figure 3;

Simulation result illustrates:

Relative to weighting shrinking and Triangle Module fusion method, the present embodiment method is by the importance degree of the overall merit node that network polymerization coefficient and node bearer service importance and quantity combined, evaluation result can not only reflect the influence degree of node to network topology layer connectivity, can also embody the significance level of node at Network layer.

Can find out according to the network of Fig. 2 example and simulation result, node v ₁as middle point of adjustment, the maximum and bearer traffic of its node electric network influencing factor values, much larger than other nodes, considers, node v ₁importance degree should much larger than other nodes, weighting shrinking only considers topological factors, obtains node v ₂than node v ₁important result, does not square with the fact, and the node v that the present embodiment method obtains ₁importance value is maximum, and importance degree gap is large, and embody the status of middle point of adjustment, the evaluation result of the present embodiment method to power telecom network is more reasonable.

Node v ₆with node v ₇significance level in network topology is close, and weighting shrinking is close with the evaluation result of Triangle Module fusion method to these two nodes, but node v ₇the traffic carrying capacity of carrying is than node v ₆greatly, the evaluation result that these computational methods obtain also is node v ₇than node v ₆importance value is large, identical with actual conditions.

The present embodiment method considers power communication net topology, business and node influence power three aspects, the comprehensive significance level of network node can be reflected more comprehensively, the pitch point importance value obtained has more reasonability and practicality, is with a wide range of applications in power telecom network Node evaluation and reliability or risk management.

In a preferred embodiment, the polymerizing factor of described node is calculated by following formula:

$\stackrel{\‾}{L_k}=\underset{z\≠k\∈V}{\mathrm{\Σ}}(\frac{W_z}{\underset{i\≠k\∈V}{\mathrm{\Σ}}{W}_i}\×\frac{1}{d(k,z)})$

Wherein, W _ifor node v _inode weight weight values, W _zfor node v _znode weight weight values, d (k, z) is node v _kwith v _zbetween shortest path value; for node v _kpolymerizing factor;

In the present embodiment, consider in power telecom network, there is significant difference in the Status and effection of each node, the Status and effection of important node in provincial power communication backbone network as provincial control centre and 500KV transformer station is greater than other nodes, and the tightness degree between this type of important node ought to be larger to overall network reliability contribution degree.Therefore, introduce node aggregation Coefficient Concept, node weights and node tightness degree are combined, with the status of multianalysis network node in network topology;

Node weights is it is considered that the importance and functions of node itself, and power telecom network node weights can from the viewpoint of two, and one is the importance and functions of power telecom network node place website in electrical network; Two is power telecom network node importance and functions in a communication network, such as from aspect evaluation node weights such as node type (comprising aggregation node and ordinary node) and node devices (disposal ability and transfer capability).

In power telecom network, the tightness degree that important node is connected with other important node in network is higher, and network topology structure is more reasonable, and network is relatively more reliable.Node aggregation coefficient in the present embodiment, represents other nodes of nodal distance and considers the weighted average beeline of node weights.Node aggregation coefficient can be used for the average distance weighed between node and important node, and node is less from the distance of important node, and important node is more intensive in the distribution of this node periphery, then the polymerizing factor of this node is higher.The character of polymerizing factor has actual using value in power telecom network, as control centre carries the supervisory and control task of electric power system, a large amount of power business information need be processed, important node is more intensive in the distribution of control centre's periphery, powerline network topology is relatively more reasonable, and network reliability is higher.

Suppose v _ka node of having no right in network diagram G=(V, E), then node v _kpolymerizing factor computing formula as follows:

$\stackrel{\‾}{L_k}=\underset{z\≠k\∈V}{\mathrm{\Σ}}(\frac{W_z}{\underset{i\≠k\∈V}{\mathrm{\Σ}}{W}_i}\×\frac{1}{d(k,z)})$

Wherein, W _ifor node v _inode weight weight values, d (k, z) is node v _kwith v _zbetween shortest path value; node v _kwith v _zbetween the inverse of shortest path, represent two internodal tightnesss, euclidean distance between node pair is shorter, and its value is larger, and between node, tightness is higher.Node tightness span be (0,1], when tight angle value is 1, two nodes directly connect, now two nodes connect the tightst.

With node v _kcentered by, the tightness in computing network between other nodes and this node, considers the weight of node itself simultaneously, obtains the index that can reflect the average tightness degree of this node periphery Node distribution be node aggregation coefficient.Node aggregation coefficient is larger, and important node is more intensive in the distribution of its periphery, network centroidal distance node v _knearer, correspondingly the status of node in network topology structure is more important.

Node aggregation coefficient describe the importance of node and the connection state with important node thereof, node status in a network can be reflected, utilize node aggregation coefficient index, analyze the distribution situation of network-critical node, connect tightness degree between important node higher, network centroidal distance important node is nearer, network configuration is more reasonable, integrated connection reliability is higher, and corresponding network structure risk is lower, can significantly improve the accuracy that network reliability measures.

In a preferred embodiment, described node weight weight values obtains by following steps:

Obtain type of site and the website scale of described node, according to default website factor influence power rule determine described node website grade point, website grade affects force value, website scale value and website scale value affects force value;

Obtain the supply load of described node, according to the load factor influence power rule preset determine described node load level value, load level affects force value, payload and payload affects force value;

According to element index set, determine the influence power score value of each node, calculate the node relative influence matrix under each factor index; Wherein, described factor index is concentrated and is comprised multiple factor index, and described factor index comprises described website grade, website scale, load level and payload;

According to the node relative influence matrix under described each factor index, relative influence is carried out addition summation, obtain the comprehensive relative influence matrix of node;

The comprehensive relative influence matrix of described node is normalized, obtains the electric network influencing factor values of each node;

In a preferred embodiment, described type of site comprises control centre, transformer station or power plant;

Power telecom network node place website comprises the types such as control centre, transformer station and power plant, similar website also distinguishes electric pressure or managerial class, as higher than 220KV transformer station grade in 500KV transformer station, influence power is large, 500KV transformer station belongs to network regulation (regional power grid control centre) administration, 220KV transformer station is then by middle tune (provincial power network control centre) administration, and website grade is the direct reflection of the status of website in electrical network; In addition, website scale affects node status equally, as transformer station is divided into junction with scale, regional station and terminal station, transformer station's Function and operation of different scales is different, corresponding status is also different, meanwhile, control centre administer the influence degree that website scale also can distinguish control centre.Therefore, slave site grade, website scale two factor evaluation node place website classification factors.

For objective evaluation website classification factor, according to electric power enterprise production management relevant regulations, set up node level, node scale three factor evaluation criterions, as shown in the table:

To sum up, website grade comprises the ranks such as superfine, one-level or secondary, and each rank may correspond to different numerical value; Website scale comprises junction, regional station, terminal station, and each scale may correspond to different numerical value; Can according to the classification factor of website residing for node, according to the website factor influence power rule preset, the information of website residing for each node, giving the corresponding type of site of this node affects force value and website scale value affects force value.Concrete different type of site and type of site corresponding to website scale affect force value and website scale value and affect force value and can set according to actual needs.

For directly serving the nodes such as the transformer station of power consumer or the scheduling node of indirect one power consumer, provincial production unit and tune power plant directly under the provincial Party committee, user's significance level of serving has considerable influence for the influence power of node, therefore according to the power consumer grade distinguishing website load level that electric load is served.

According to national relevant regulations, power consumer is divided into important power consumers and other power consumers, important power consumers refers to and occupy critical role in country or the society of an area (city), politics, economic life, to its interruption of power supply may cause loss of life or personal injury, compared with overall situation pollution, larger political fallout, larger economic loss, social public order heavy clutter with electric unit or electricity consumption place power supply reliability being had to particular/special requirement.The industry wide of the important power consumers that important power consumers list is determined according to relevant department of local people's governments by power supply enterprise and power load characteristic propose, and after the approval of relevant department of local people's governments at or above the county level, report power monitoring mechanism puts on record.According to requirement and the interruption of power supply extent of injury of power supply reliability, responsible consumer can be divided into superfine, one-level, secondary important power consumers and provisional important power consumers.

Superfine responsible consumer refers to have particular importance effect in administering state affairs, and interruption of power supply may endanger the power consumer of national security; One-level responsible consumer refers to the power consumer that interruption of power supply may have an impact; Secondary responsible consumer, refer to interruption of power supply may produce considerable influence and the power consumer of loss; Provisional important power consumers, refers to the power consumer (Large Hydro-Junction, constructing tunnel, occasion protect electric user temporarily) needing interim special power supply to ensure.

The size of website load is the important references index of website influence degree.In electrical network, the payload of website is not fixed value, and it changes along with network load change, but the load relative size of website in electrical network is then metastable, therefore utilizes website load proportion shared by electrical network to evaluate website payload.Website or its compass of competency complete failure also externally have a power failure and will produce electrical network and subtract for load, the i.e. maximum reduction of the actual load of electrical network between the accident emergence period.

As in the table below, subtract to electrical network the incident classification caused for load to distinguish:

According to node place website or its compass of competency complete failure and the electrical network caused that externally has a power failure subtracts the evaluation criterion of confession load incident classification difference as evaluation node payload factor, synthetic load grade factor, obtains node load factor evaluation criterion as shown in the table.

To sum up, load level comprises the ranks such as superfine, one-level or secondary, and each rank may correspond to different numerical value; Also preset according to load level and affect force value accordingly; Payload is the network load of this node, and subtracting for load incident classification determination payload according to electrical network and preset affects force value accordingly; According to the load factor influence power rule preset, the information on load of website residing for each node, giving load level corresponding to this node affects force value and payload affects force value.Concrete different load grade and load level corresponding to payload affect force value and payload and affect force value and can set according to actual needs.

In a preferred embodiment, described element index set is: K={k _n, n=1,2 ..., N; In the present embodiment, N equals 4, namely comprises 4 factor indexs, and website grade, website scale, load level and payload, wherein N equals 4, k ₁, k ₂, k ₃, k ₄refer to four above-mentioned indexs respectively.

Described according to element index set, determine the influence power score value of each node, the step calculating the node relative influence matrix under each factor index comprises:

Described node relative influence matrix is calculated according to following formula:

Wherein, each node configuration node collection B={v _i, i=1,2 ..., I; In set of node, the influence power score value of each node is { s _i(k _n), s _i(k _n) be node v _iat factor index k _nunder affect force value;

represent node v _iand v _jat factor index k _nunder relative effect value; As i=j, as i ≠ j, $a_{\mathrm{ij}}^{\left(k_n\right)}=\left\{\begin{array}{cc}1& s_i\left(k_n\right)/s_j\left(k_n\right)>1\\ 0.5& s_i\left(k_n\right)/s_j\left(k_n\right)=1\\ 0& s_i\left(k_n\right)/s_j\left(k_n\right)<1\end{array}\right.;$

To same factor index k _nunder the row vector element of node relative influence matrix sue for peace, obtain factor index k _nunder node relative influence matrix

Wherein, the comprehensive relative influence matrix of described node is

In a preferred embodiment, described when the comprehensive relative influence matrix of described node is normalized, adopt the method for normalizing based on degree of membership to be normalized the comprehensive relative influence matrix of described node.

Described employing comprises the step that the comprehensive relative influence matrix of described node is normalized based on the method for normalizing of degree of membership:

By following formula, the comprehensive relative influence matrix of described node is normalized; Obtain the electric network influencing factor values of each node:

$F\left(v_i\right)=e^{\frac{-{(a_i^{\mathrm{sum}}-c)}^2}{2{\mathrm{\&sigma;}}^2}}$

Wherein, f (v _i) be node v _ielectric network influencing factor values, $a_{\max }^{\mathrm{sum}}=\mathrm{MAX}(a_1^{\mathrm{sum}},a_2^{\mathrm{sum}},...,a_i^{\mathrm{sum}},...a_I^{\mathrm{sum}}),a_{\min }^{\mathrm{sum}}=\mathrm{MIN}(a_1^{\mathrm{sum}},a_2^{\mathrm{sum}},...,a_i^{\mathrm{sum}},...a_I^{\mathrm{sum}}),$ ε is default normalized parameter, and span is ε ∈ (0,1).

The present invention is based on the powerline network construction method of pitch point importance, obtain the network model of power telecom network, to each node in network model, first measures and weights is added in conjunction with power business computing node business, the importance degree of each node is obtained again in conjunction with node weights, node aggregation coefficient calculations, from business, three the aspect analyses of the role and effect of topological sum node own, information fusion method is utilized to obtain pitch point importance.The present invention considers power communication net topology, business and node influence power three aspects, the comprehensive significance level of network node can be reflected more comprehensively, the pitch point importance value obtained has more reasonability and practicality, finally obtain the network model each node being attached with corresponding importance degree, the accuracy of the reliability determination of power communication system can be significantly improved.

The above embodiment only have expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.

Claims (8)

1., based on a powerline network construction method for pitch point importance, it is characterized in that, comprise the steps:

Obtain the network model of power telecom network; Wherein, described network model comprises node and link, and described node is the communication equipment in power communication system, and described link is each bar optical cable of connected node;

The business being calculated described node by following formula adds measures and weights:

$s_i=\underset{j\&Element;N_i}{\mathrm{\&Sigma;}}{w}_{\mathrm{ij}};$

Wherein, s _ifor node v _ibusiness add measures and weights, m _ijrepresent link e _ijthe classification sum of upper run business, n _ijkrepresent link e _ijon the number of kth class business that runs, v _ijkrepresent the business importance value of kth class business, N _inode v _ineighbour set;

Business according to described node adds measures and weights, is calculated the importance degree of described node by following formula:

$\mathrm{IMC}\left(v_i\right)=\sqrt[3]{W_i\&times;s_i\&times;\stackrel{\&OverBar;}{L_i}}$

Wherein, IMC (v _i) be node v _iimportance degree, W _ifor the node v preset _inode weight weight values, for the node v preset _ipolymerizing factor;

Obtain the network model each node being attached with corresponding importance degree, the network model obtained is carried out to the reliability determination of Network topology and power communication system.

2. the powerline network construction method based on pitch point importance according to claim 1, it is characterized in that, described polymerizing factor is calculated by following formula:

$\stackrel{\&OverBar;}{L_k}=\underset{z\&NotEqual;k\&Element;V}{\mathrm{\&Sigma;}}(\frac{W_z}{\underset{i\&NotEqual;k\&Element;V}{\mathrm{\&Sigma;}}{W}_i}\&times;\frac{1}{d(k,z)})$

Wherein, W _ifor node v _inode weight weight values, d (k, z) is node v _kwith v _zbetween shortest path value; for node v _kpolymerizing factor.

3. the powerline network construction method based on pitch point importance according to claim 2, is characterized in that, described node weight weight values obtains as follows:

Obtain type of site and the website scale of described node, according to default website factor influence power rule determine described node website grade, website grade affects force value, website scale and website scale value affects force value;

Obtain the supply load of described node, according to the load factor influence power rule preset determine described node load level, load level affects force value, payload and payload affects force value;

According to element index set, determine the influence power score value of each node, calculate the node relative influence matrix under each factor index; Wherein, described factor index is concentrated and is comprised multiple factor index, and described factor index comprises described website grade, website scale, load level and payload;

According to the node relative influence matrix under described each factor index, relative influence is carried out addition summation, obtain the comprehensive relative influence matrix of node;

The comprehensive relative influence matrix of described node is normalized, obtains the electric network influencing factor values of each node, as described node weight weight values.

4. the powerline network construction method based on pitch point importance according to claim 3, it is characterized in that, described type of site comprises control centre, transformer station or power plant.

5. the powerline network construction method of pitch point importance according to claim 3, is characterized in that:

Described element index set is: K={k _n, n=1,2 ..., N;

Described according to element index set, determine the influence power score value of each node, the step calculating the node relative influence matrix under each factor index comprises:

Described node relative influence matrix is calculated according to following formula:

Wherein, each node v _iconfiguration node collection V={v _i, i=1,2 ..., I; In set of node, the influence power score value of each node is { s _i(k _n), s _i(k _n) be node v _iat factor index k _nunder affect force value;

represent node v _iand v _jat factor index k _nunder relative effect value; As i=j, as i ≠ j, $a_{\mathrm{ij}}^{\left(k_n\right)}=\left\{\begin{array}{cc}1& s_i\left(k_n\right)/s_j\left(k_n\right)>1\\ 0.5& s_i\left(k_n\right)/s_j\left(k_n\right)=1\\ 0& s_i\left(k_n\right)/s_j\left(k_n\right)<1\end{array}\right.;$

To same factor index k _nunder the row vector element of node relative influence matrix sue for peace, obtain factor index k _nunder node relative influence matrix

6. the powerline network construction method of pitch point importance according to claim 5, is characterized in that, the comprehensive relative influence matrix of described node is

7. the powerline network construction method of pitch point importance according to claim 6, it is characterized in that, described when the comprehensive relative influence matrix of described node is normalized, adopt the method for normalizing based on degree of membership to be normalized the comprehensive relative influence matrix of described node.

8. the powerline network construction method of pitch point importance according to claim 7, is characterized in that, described employing comprises the step that the comprehensive relative influence matrix of described node is normalized based on the method for normalizing of degree of membership:

By following formula, the comprehensive relative influence matrix of described node is normalized, obtains the electric network influencing factor values of each node:

$F\left(v_i\right)=e^{\frac{-{(a_i^{\mathrm{sum}}-c)}^2}{2{\mathrm{\&sigma;}}^2}}$

Wherein, $c=(1+\mathrm{\&epsiv;})a_{\max }^{\mathrm{sum}},\mathrm{\&sigma;}=(\frac{1}{2}+\mathrm{\&epsiv;})a_{\max }^{\mathrm{sum}}-\frac{a_{\min }^{\mathrm{sum}}}{2},$ F (v _i) be node v _ielectric network influencing factor values, $a_{\max }^{\mathrm{sum}}=\mathrm{MAX}(a_1^{\mathrm{sum}},a_2^{\mathrm{sum}},...,a_i^{\mathrm{sum}},...a_I^{\mathrm{sum}}),a_{\min }^{\mathrm{sum}}=\mathrm{MIN}(a_1^{\mathrm{sum}},a_2^{\mathrm{sum}},...,a_i^{\mathrm{sum}},...a_I^{\mathrm{sum}}),$ ε is normalized parameter, and span is ε ∈ (0,1).