CN104601375A - Intelligent substation communication network monitoring system, setting method and monitoring method - Google Patents

Abstract

The invention provides an intelligent substation communication network monitoring system, an intelligent substation communication network setting method and an intelligent substation communication network monitoring method. The intelligent substation communication network monitoring system comprises a setting area, a monitoring area and a judging area, which are connected with one another, wherein the setting area comprises a network topology information input module, a network flow distribution calculation module, a network flow setting module, a network delay distribution calculation module and a network delay setting module, the network flow distribution calculation module and the network delay distribution calculation module are both connected with the network topology information input module, the network flow setting module and the network flow distribution calculation module are connected, and the network delay setting module is connected with the network delay distribution calculation module and the network flow setting module. The intelligent substation communication network monitoring system, the intelligent substation communication network setting method and the intelligent substation communication network monitoring method have the following advantages of causing no recorded message waste, having online monitoring and immediate protection ability, and being quick in failure recovery, and capable of meeting reliability requirements of an intelligent substation.

Description

A kind of intelligent substation communication network monitoring system, setting method and method for supervising

Technical field

The present invention relates to network monitoring field, particularly a kind of intelligent substation communication network monitoring system, setting method and method for supervising.

Background technology

Intelligent substation is the important component part of electrical network, is the key of power network safety operation.Under intelligent grid its development; intelligent substation is basic theory with information sharing; using Network Transmitting as realization rate, realize the transformer station of the basic functions such as information gathering, measurement, control and protection and the Premium Features such as automatic control and Intelligent adjustment automatically, effectively, reliably, rapidly.

Equipment connection networking is the key character that intelligent substation is different from Generic Substation, is also that intelligent substation facility information shares the basis with mutual operation.Therefore, building the highly reliable substation communication network meeting devices communicating demand is the basic guarantee that intelligent substation various functions effectively realizes.But, there is many uncertain factors in current intelligent substation communication network reliability, be mainly reflected in and exchange that time delay is uncertain, switching path is uncontrollable and the problem such as inevitable signal errors, packet loss, bursts of traffic in exchange process, these uncertain factors significantly limit the application of partial higher function, become the short slab of restriction intelligent substation development.

For improving intelligent substation communication network quality; improve substation operation reliability; need research and develop from the network equipment on the one hand, the hardware aspect such as Topological expansion and communication technology upgrading promotes; then need the substation communication network supervisory control system of Erecting and improving on the other hand; adopt rational network condition research and flow setting method, promote substation communication network performance from network monitoring and protecting control angle.

But current intelligent substation communication network does not also form unified complete substation communication network monitoring system.The mode that Most current intelligent substation communication network adopts communications records and off-line analysis to combine carries out communications network monitors control.Specifically, at intelligent substation communication network access information monitoring equipment, catch, decode, storage networking message, call recorded message under line, carry out comprehensive memory of Network Abnormal fault.The communication network monitoring mode that intelligent substation communication record and off-line analysis combine needs a large amount of storage device records network information on the one hand; and the analytic record message that Analysis of Network Malfunction calls only accounts for 0.1% of whole recorded message; a large amount of recorded message is caused to waste; network service record and off-line analysis are a kind of monitor modes of ex-post analysis on the other hand; do not possess the ability of on-line monitoring, instant protection; fault recovery is excessively slow, is difficult to meet intelligent substation reliability requirement.

Summary of the invention

The technical problem to be solved in the present invention is; for prior art the waste of above-mentioned a large amount of recorded messages, do not possess the defect that on-line monitoring, instant protective capability, fault recovery are excessively slow, be difficult to meet intelligent substation reliability requirement, provide a kind of recorded message can not be caused to waste, possess on-line monitoring, instant protective capability, fault recovery comparatively fast, the intelligent substation communication network monitoring system of intelligent substation reliability requirement, setting method and method for supervising can be met.

The technical solution adopted for the present invention to solve the technical problems is: construct a kind of intelligent substation communication network monitoring system, comprise region of adjusting, monitored area and determinating area, described in adjust network traffics computational methods, the adaptive setting communication network traffic fault actions threshold values of region by study communication network physical structure information, to give out a contract for a project in conjunction with all kinds of messages of IEC61850 regulation rule and setting, described monitored area and described joint area of adjusting, for in real time each for all switches port being exchanged message mirror to described state of communication network of intelligent transformer station supervisory control system, message is resolved and parsing content is sent to described determinating area, gained information is also input to described determinating area by each port flow of Real-Time Monitoring, described determinating area is connected with described region and the monitored area of adjusting respectively, for carrying out preliminary fault verification by the reasonability of monitoring message sequential and message coding, and by described network implementation measurement of discharge and network traffics fault actions threshold values are contrasted, to carry out the location of network failure, control and recover, described region of adjusting comprises network topological information input module, network traffics distribution calculation module, network traffics are adjusted module, network delay distribution calculation module and network delay is adjusted module, described network traffics distribution calculation module and network delay distribution calculation module are all connected with described network topological information input module, described network traffics module of adjusting is connected with described network traffics distribution calculation module, and described network delay module of adjusting is adjusted with described network delay distribution calculation module and network traffics model calling respectively.

In intelligent substation communication network monitoring system of the present invention, described monitored area comprises network message mirror module, flow delay statistical module and packet parsing module, described network message mirror module is used in real time each for all switches port being exchanged message mirror to described intelligent substation communication network monitoring system, described flow delay statistical module is connected with described network message mirror module, add up for the real-time flow to communication network device port and message delay, described packet parsing module is connected with described flow delay statistical module, for resolving message and parsing content being sent to described determinating area.

In intelligent substation communication network monitoring system of the present invention, described determinating area comprises message reasonability determination module, network condition determination module and protecting control module, described message reasonability determination module and described packet parsing model calling, for according to described parsing content by monitoring message sequential and message coding carries out message reasonableness check; Described network condition determination module adjust with described flow delay statistical module, message reasonability determination module and network delay respectively model calling, for judging network condition; Described protecting control module is connected with described message reasonability determination module and network condition determination module respectively, for carrying out protecting control when communication network status is abnormal.

In intelligent substation communication network monitoring system of the present invention, described parsing content comprises message APPID, state StNum and sequence number SqNum.

The invention still further relates to a kind of intelligent substation communication networked tuning method, comprise the steps:

A) initialization physical connection matrix, VLAN Matrix dividing, PVID Matrix dividing and information source node matrix equation;

B) logic connection matrix is set up;

C) the 0th information source node matrix equation is set up;

D) intermediate variable k initialize k=1 is set;

E) set up 3k-2 information source node matrix equation, perform step F) or/and step F ＇);

F) enter network traffics fault to adjust flow process;

F ＇) enter intelligent substation network delay distribution calculation process.

In intelligent substation communication networked tuning method of the present invention, described step F) comprise further:

F1) 3k-1 information source node matrix equation is set up;

F2) by element zero setting relevant to device port in described 3k-1 information source node matrix equation, 3k information source node matrix equation is obtained;

F3) judge whether there is nonzero element in described 3k information source node matrix equation, in this way, make k=k+1, return step e); Otherwise, perform step F 4);

F4) make n=k, and obtain message distribution matrix by described 0th information source node matrix equation, 3k-2 information source node matrix equation and 3k-1 information source node matrix equation;

F5) communication network traffic distribution matrix is obtained by message packet sending speed matrix and described message distribution matrix;

F6) network traffics fault actions threshold values is obtained by described communication network traffic distribution matrix; Described network traffics fault actions threshold values comprises maximum stream flow distribution matrix and minimum discharge distribution matrix.

In intelligent substation communication networked tuning method of the present invention, described step F ＇) comprise further:

F1 ＇) obtain in 3k-2 information source node matrix equation and represent the element of information flow j through switching port i;

F2 ＇) obtain 3k-2 and send in curve matrix and represent the element of information flow j through switching port i;

F3 ＇) obtain 3k-1 information source node matrix equation by described 3k-2 transmission curve matrix and physical connection matrix;

F4 ＇) if i port is destination interface, represents the element zero setting of information flow j through switching port i by described 3k-1 information source node matrix equation, obtain 3k information source node matrix equation;

F5 ＇) judge whether there is neutral element in described 3k information source node matrix equation, in this way, make k=k+1, return step e); Otherwise, perform step F 6 ＇);

F6 ＇) make n=k, obtain message distribution matrix;

F7 ＇) obtain arrival curve matrix by 3k-2 information source node matrix equation, obtain service curves matrix by 3k-2 service curves matrix;

F8 ＇) obtain 3k-2 service curves matrix in described service curves matrix, obtain in described 3k-2 service curves matrix and represent the element of information flow j through switching port i, obtain the 3k-2 arrival curve matrix in arrival curve matrix, obtain in described 3k-2 arrival curve matrix and represent the element of information flow j through switching port i, obtain the maximum delay of switch transmission in intelligent substation communication network.

The invention still further relates to a kind of intelligent substation communication method for monitoring network, comprise the steps:

A 〞) initialization intelligent substation communication network monitoring system;

B 〞) input communication network topological information and exchange message information;

C 〞) use the network information matrix obtained to carry out network traffics fault and adjust;

D 〞) by real-time distributed for network Monitoring Data input determinating area, judge whether the message inputted exists abnormal conditions by message reasonability determination module, in this way, by occurring that abnormal result of determination is input to protecting control module, perform step F 〞); Otherwise, carry out network condition judgement, perform step e 〞);

E 〞) whether supervising network flow and message time delay meet stable operation requirement, in this way, performs step F 〞); Otherwise, judge break down and fault message be input to described protecting control module, perform step F 〞);

F 〞) the corresponding Network Abnormal information inputted, carry out output protection control signal according to the communication network Preservation tactics of setting;

G 〞) judge whether network topology and message information change, in this way, return step B 〞); Otherwise, return step D 〞).

In intelligent substation communication method for monitoring network of the present invention, described steps A 〞) comprise further:

A1 〞) arrange intelligent substation communication network monitoring system in a communication network;

A2 〞) each for each switch port message is accessed described intelligent substation communication network monitoring system through mirror port;

A3 〞) define message correctness decision model, completion system initial work.

Implement intelligent substation communication network monitoring system of the present invention, setting method and method for supervising, there is following beneficial effect: owing to adopting on-line monitoring, the instant mode controlled, that it changes the failure analysis methods that original monitoring record and off-line analysis combine, efficiently solve recorded message waste and the excessively slow shortcoming of fault recovery.In addition; the Flow Fault of intelligent substation communication networked tuning method real-time monitoring system and time delay distribution; calculated by network physical information integration; accurate prediction network traffics and time delay distribution; and then calculate the interval obtaining communication network traffic and time delay and normally run, so its recorded message can not be caused to waste, possess on-line monitoring, instant protective capability, fault recovery are very fast, can meet intelligent substation reliability requirement.

Accompanying drawing explanation

In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.

Fig. 1 is the structural representation of intelligent substation communication network monitoring system in intelligent substation communication network monitoring system of the present invention, setting method and method for supervising embodiment;

Fig. 2 is the flow chart of intelligent substation communication networked tuning method in described embodiment;

Fig. 3 enters network traffics fault to adjust the particular flow sheet of flow process in described embodiment;

Fig. 4 is the particular flow sheet entering intelligent substation network delay distribution calculation process in described embodiment;

Fig. 5 is the flow chart of intelligent substation communication method for monitoring network in described embodiment;

Fig. 6 is the particular flow sheet of initialization intelligent substation communication network monitoring system in described embodiment.

Embodiment

Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.

In intelligent substation communication network monitoring system of the present invention, setting method and method for supervising embodiment, the structural representation of its intelligent substation communication network monitoring system as shown in Figure 1.In Fig. 1, this intelligent substation communication network monitoring system comprises region 1 of adjusting, monitored area 2 and determinating area 3, wherein, adjusting, study communication network physical structure information is passed through in region 1, network traffics computational methods, the adaptive setting communication network traffic fault actions threshold values of give out a contract for a project in conjunction with all kinds of messages of IEC61850 regulation rule and setting, monitored area 2 is connected with region 1 of adjusting, for in real time each for all switches port being exchanged message mirror to state of communication network of intelligent transformer station supervisory control system, message is resolved and parsing content is sent to determinating area 3, gained information is also input to determinating area 3 by each port flow of Real-Time Monitoring, determinating area 3 is connected with adjust region 1 and monitored area 2 respectively, for carrying out preliminary fault verification by the reasonability of monitoring message sequential and message coding, and by network implementation measurement of discharge and network traffics fault actions threshold values are contrasted, to carry out the location of effective network failure, control and recover.

Adjust that region 1 comprises network topological information input module 11, network traffics distribution calculation module 12, network traffics are adjusted module 13, network delay distribution calculation module 14 and network delay is adjusted module 15, wherein, network traffics distribution calculation module 12 is all connected with network topological information input module 11 with network delay distribution calculation module 14, network traffics module 13 of adjusting is connected with network traffics distribution calculation module 12, and network delay module 15 module 13 of adjusting with network delay distribution calculation module 14 and network traffics respectively of adjusting is connected.Region 1 of adjusting learns communication network physical structure information by network topological information input module 11.Owing to adopting on-line monitoring, the instant mode controlled, that it changes the failure analysis methods that original monitoring record and off-line analysis combine, efficiently solve recorded message waste and the excessively slow shortcoming of fault recovery, while recorded message can not be caused to waste.

In the present embodiment, monitored area 2 comprises network message mirror module 21, flow delay statistical module 22 and packet parsing module 23, wherein, network message mirror module 21 is for exchanging message mirror to intelligent substation communication network monitoring system by each for all switches port in real time, flow delay statistical module 22 is connected with network message mirror module 21, add up for the real-time flow to communication network device port and message delay, and gained information is input to determinating area 3, packet parsing module 23 is connected with flow delay statistical module 22, for resolving message and the parsing content obtained being sent to determinating area 3.Above-mentioned parsing content comprises message APPID, state StNum and sequence number SqNum.

In the present embodiment, determinating area 3 comprises message reasonability determination module 31, network condition determination module 32 and protecting control module 33, wherein, message reasonability determination module 31 is connected with packet parsing module 23, for according to above-mentioned parsing content by monitoring message sequential and message coding carries out message reasonableness check, can preliminary fault verification be carried out; Network condition determination module 32 module 15 of adjusting with flow delay statistical module 22, message reasonability determination module 31 and network delay is respectively connected, for judging network condition; Protecting control module 33 is connected with message reasonability determination module 31 and network condition determination module 32 respectively, for carrying out protecting control when communication network status is abnormal.

The present embodiment also relates to a kind of intelligent substation communication networked tuning method, and its flow chart as shown in Figure 2.In Fig. 2, this intelligent substation communication networked tuning method comprises the steps:

Step S01 initialization physical connection matrix, VLAN Matrix dividing, PVID Matrix dividing and information source node matrix equation: for obtaining network traffics and time delay distribution and fault setting value, need to input collection communication network to the region 1 of adjusting of intelligent substation communication network monitoring system and exchange the essential informations such as message, set up physical connection matrix P _{p × p}, VLAN Matrix dividing V _{k × p}, PVID Matrix dividing T _{k × p}with logic connection matrix D _{p × p}equal matrix describes network physical feature.In this step, initialization physical connection matrix P _{p × p}, VLAN Matrix dividing V _{k × p}, PVID Matrix dividing T _{k × p}with information source node matrix equation S _{p × d}.

Step S02 sets up logic connection matrix: in this step, sets up logic connection matrix D _{p × p}.

Step S03 sets up the 0th information source node matrix equation: in this step, sets up the 0th information source node matrix equation S ⁰ _{p × d}, specifically carry out calculating S according to formula (1) ⁰ _{p × d}:

S ⁰ _p×d＝-(P _p×p×S _p×d) (1)

In formula (1), physical connection matrix P _{p × p}premultiplication information source node matrix equation S _{p × d}represent that source is directly connected to switch ports themselves by physical medium, symbol "-" represents the change of change of direction.

Step S04 sets intermediate variable k and initialize k=1: in this step, sets intermediate variable k and initialize k=1.

Step S05 sets up 3k-2 information source node matrix equation: in this step, sets up 3k-2 information source node matrix equation S ^3k-2 _{p × d}, specifically calculate S according to formula (2) ^3k-2 _{p × d}:

S ^3k-2 _p×d＝-(D _p×p×S ^3(k-1) _p×d) (2)

In formula (2), logic connection matrix D _{p × p}premultiplication the 3rd (k-1) information source node matrix equation S ^{3 (k-1)} _{p × d}represent and carry out message repeating by switch.Execute this step, perform step S06 or/and step S06 ＇.

Step S06 enters network traffics fault and to adjust flow process: in this step, enters network traffics fault and to adjust flow process.

Step S06 ＇ enters intelligent substation network delay distribution calculation process: in this step, enters intelligent substation network delay distribution calculation process.It is worth mentioning that, in the present embodiment, the execution of above-mentioned steps S06 and step S06 ＇ does not have sequencing, namely first can perform step S06 and perform step S06 ＇ again, or first perform step S06 ＇ and perform step S06 again, or step S06 and step S06 ＇ performs simultaneously.The Flow Fault of this intelligent substation communication networked tuning method energy real-time monitoring system and time delay distribution, calculated by network physical information integration, accurate prediction network traffics and time delay distribution, and then calculate the interval obtaining communication network traffic and time delay and normally run.So it possess on-line monitoring, instant protective capability, fault recovery very fast, intelligent substation reliability requirement can be met.

For the present embodiment, above-mentioned steps S06 also can refinement further, and the flow chart after its refinement as shown in Figure 3.In Fig. 3, above-mentioned steps S06 comprises further:

Step S61 sets up 3k-1 information source node matrix equation: in this step, sets up 3k-1 information source node matrix equation S ^3k-1 _{p × d}, specifically calculate S according to formula (3) ^3k-1 _{p × d}:

S ^3k-1 _p×d＝-(P _p×p×S ^3k-2 _p×d) (3)

In formula (3), S ^3k-2 _{p × d}represent 3k-2 information source node matrix equation.

Step S62, by element zero setting relevant to device port in 3k-1 information source node matrix equation, obtains 3k information source node matrix equation: in this step, by 3k-1 information source node matrix equation S ^3k-1 _{p × d}in the element zero setting relevant to device port, obtain 3k information source node matrix equation S ^3k _{p × d}, in other words, when message arrives destination interface, message no longer forwards, corresponding S ^3k-1 _{p × d}in s ^3k-1 _ijzero setting is needed to obtain new matrix S ^3k _{p × d}.

Step S63 judges whether have nonzero element in 3k information source node matrix equation: in this step, judges 3k information source node matrix equation S ^3k _{p × d}in whether have nonzero element, be exactly constantly inspection 3k information source node matrix equation S in fact ^3k _{p × d}in whether have non-zero entry usually ensure all messages arrive destination interface, if the result judged is yes, then execution step S64; Otherwise, perform step S65.

Step S64 makes k=k+1: if the judged result of above-mentioned steps S63 is yes, then perform this step.In this step, make k=k+1.Execute this step, return step S05.

Step S65 makes n=k, and obtains message distribution matrix by the 0th information source node matrix equation, 3k-2 information source node matrix equation and 3k-1 information source node matrix equation: if the judged result of above-mentioned steps S63 is no, then perform this step.In this step, make n=k, and by the 0th information source node matrix equation S ⁰ _{p × d}, 3k-2 information source node matrix equation S ^3k-2 _{p × d}with 3k-1 information source node matrix equation S ^3k-1 _{p × d}obtain message distribution matrix S ^l _{p × d}, be exactly specifically when all messages arrive switching port, adopt formula (4) to obtain substation communication network message distribution matrix S ^l _{p × d}:

${S^L}_{p\×d}={S^0}_{p\×d}+\underset{k=1}{\overset{n}{\mathrm{\Σ}}}{S^{3k-2}}_{p\×d}+\underset{k=1}{\overset{n}{\mathrm{\Σ}}}{S^{3k-1}}_{p\×d}---\left(4\right)$

Step S66 obtains communication network traffic distribution matrix by message packet sending speed matrix and message distribution matrix: in this step, by message packet sending speed matrix U _{d × 1}with message distribution matrix S ^l _{p × d}calculate and obtain communication network traffic distribution matrix N _{p × 1}, specifically calculate communication network traffic distribution matrix N according to formula (5) _{p × 1}:

N _p×1＝S ^L _p×d×U _d×1(5)

Communication network traffic distribution matrix N _{p × 1}the form of middle element is all A _i+ (﹣ B _i), A _irepresent the load of port i transmitted traffic, B _irepresent that port i arrives flow load.

Step S67 obtains network traffics fault actions threshold values by communication network traffic distribution matrix: in this step, by communication network traffic distribution matrix N _{p × 1}obtain network traffics fault actions threshold values, this network traffics fault actions threshold values comprises maximum stream flow distribution matrix and minimum discharge distribution matrix.Concrete is exactly with communication network traffic distribution matrix N _{p × 1}based on, obtain network failure flow threshold values according to formula (6) and formula (7), K' in formula _relwith K " _relfor coefficient of reliability, K' _relbe greater than 1, K " _relbe less than 1, its value is adjusted by communication network QoS and reliability requirement.In formula (6), EH _{p × 1}represent maximum stream flow distribution matrix, EL _{p × 1}represent minimum discharge distribution matrix.

EH _P×1＝K′ _rel×N _P×1(6)

EL _P×1＝K″ _rel×N _P×1(7)

Flow Fault monitoring can be protected from macroscopic aspect overall network situation, effectively can avoid the situation such as network storm and the fault burst of message.

Because Flow Fault monitoring cannot to become more meticulous protecting control from microcosmic point to each individual message.But to delay requirement, there is otherness due to all kinds of message in the transformer station that defines in IEC61850, if network cannot meet the delay requirement of all kinds of message, then substation operation scheduling will bear greater risk, the present invention is in order to address this problem, propose network delay fault setting method, it performs according to step S06 ＇.

For calculating the distribution of obtaining communication network delay in the Substation Design planning stage, the present invention adopts network calculus theoretical dynamic calculation communication network time delay distribution, and time delay distribution core calculations formula is for shown in formula (8):

$D\left(t\right)\≤\underset{s\≥0}{\sup }\left\{\inf \right\{\mathrm{\τ}\≥0:\mathrm{\α}\left(s\right)\≤\mathrm{\β}(s+\mathrm{\τ})\left\}\right\}---\left(8\right)$

In formula, α and β is respectively arrival curve and service curves, sup and inf is respectively supremum and infimum symbol.

Also need to set up service curves model with maximum delay for descriptor stream flow overstocks.Current substation communication network strictly adopts priority queueing and first in first out scheduling strategy (FIFO), line for service is needed when message arrives port, its priority higher queuing position is more forward, waiting time is shorter, and the message of level that All factors being equal, preference will be give to is then served according to first arriving the strategy of first serving.

Therefore, can set up priority is n (n is limit priority), and serve port is the service curves Ser of l-th ⁿt () is as shown in formula (9):

${\mathrm{Ser}}^n\left(t\right)={\mathrm{\β}}_{C_l,\frac{L_{\max }^{(0~n1)}}{C_l}}=C_l{[t-\frac{L_{\max }^{(0~n-1)}}{C_l}]}^{+}---\left(9\right)$

Priority is i (0≤i≤n-1), and serve port is the service curves Ser of l-th ⁱt () is as shown in formula (10):

${\mathrm{Ser}}^i\left(t\right)={[C_{l}t-\underset{k=i+1}{\overset{n}{\mathrm{\Σ}}}{\mathrm{\α}}^k\left(t\right)-L_{\max }^{[0.i-1]}]}^{+}---\left(10\right)$

Above-mentioned steps S06 ＇ also can refinement further, and the flow chart after its refinement as shown in Figure 4.In Fig. 4, above-mentioned steps S06 ＇ comprises further:

Step S61 ＇ obtains in 3k-2 information source node matrix equation and represents the element of information flow j through switching port i: in this step, obtains 3k-2 information source node matrix equation S ^3k-2 _{p × d}middle expression information flow j, through the element of switching port i, is exactly specifically by 3k-2 information source node matrix equation S ^3k-2 _{p × d}middle i-th row element substitutes in above-mentioned formula (9) and formula (10) calculating acquisition 3k-2 information source node matrix equation and represents the element s of information flow j through switching port i ^3k-2 _ij.

Step S62 ＇ obtains in 3k-2 transmission curve matrix and represents the element of information flow j through switching port i: in this step, obtain 3k-2 and send curve matrix O ^3k-2 _{p × d}middle expression information flow j is through the element o of switching port i ^3k-2 _ij, specifically calculated by formula (11):

o ^3k-2 _ij＝s ^3k-2 _ij⊙k ^3k-2 _ij(11)

In formula (11), k ^3k _- ² _ijrepresent 3k-2 service curves matrix K ^3k-2 _{p × d}middle expression information flow j is through the element of switching port i.

Step S63 ＇ sends curve matrix by 3k-2 and physical connection matrix obtains 3k-1 information source node matrix equation: in this step, sends curve matrix O by 3k-2 ^3k-2 _{p × d}with physical connection matrix P _{p × p}obtain 3k-1 information source node matrix equation S ^3k-1 _{p × d}, specifically calculated by formula (12):

S ^3k-1 _p×d＝-(P _p×p×O ^3k-2 _p×d) (12)

If step S64 ＇ i port is destination interface, the element zero setting of information flow j through switching port i will be represented in 3k-1 information source node matrix equation, obtain 3k information source node matrix equation: in this step, if i port is destination interface, by 3k-1 information source node matrix equation S ^3k-1 _{p × d}middle expression information flow j is through the element s of switching port i ^3k-1 _ijzero setting, obtains 3k information source node matrix equation S ^3k _{p × d}.

Step S65 ＇ judges whether there is neutral element in 3k information source node matrix equation: in this step, judges 3k information source node matrix equation S ^3k _{p × d}in whether there is neutral element, if the result judged is yes, then perform step S66 ＇; Otherwise, perform step S67 ＇.

Step S66 ＇ makes k=k+1: if the judged result of above-mentioned steps S65 ＇ is yes, then perform this step.In this step, make k=k+1.Execute this step, return step S05.

Step S67 ＇ makes n=k, obtains message distribution matrix: if the judged result of above-mentioned steps S65 ＇ is no, then perform this step.In this step, obtain message distribution matrix S ^l _{p × d}.Execute this step, perform step S68 ＇.

Step S68 ＇ obtains arrival curve matrix by 3k-2 information source node matrix equation, obtains service curves matrix: in this step by 3k-2 service curves matrix, by 3k-2 information source node matrix equation S ^3k-2 _{p × d}obtain arrival curve matrix S ^d _{p × d}, by 3k-2 service curves matrix K ^3k-2 _{p × d}obtain service curves matrix K ^d _{p × d}.Specifically, cycle criterion 3k information source node matrix equation S ^3k _{p × d}in whether containing nonzero element, as 3k information source node matrix equation S ^3k _{p × d}in full vanishing element time, use formula (13) and formula (14) to obtain arrival Curve Moment battle array S ^d _{p × d}with service Curve Moment battle array K ^d _{p × d}, formula (13) and formula (14) as follows:

${S^D}_{p\×d}=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{S^{3k-2}}_{p\×d}---\left(13\right)$

${K^D}_{p\×d}=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{K^{3k-2}}_{p\×d}---\left(14\right)$

Step S69 ＇ obtains the 3k-2 service curves matrix in service curves matrix, obtain in 3k-2 service curves matrix and represent the element of information flow j through switching port i, obtain the 3k-2 arrival curve matrix in arrival curve matrix, obtain in 3k-2 arrival curve matrix and represent the element of information flow j through switching port i, obtain the maximum delay of switch transmission in intelligent substation communication network: in this step, obtain service curves matrix K ^d _{p × d}in 3k-2 service curves matrix K ^3k-2 _{p × d}, obtain 3k-2 service curves matrix K ^3k-2 _{p × d}middle expression information flow j is through the element k of switching port i ^3k-2 _ij, obtain arrival curve matrix S ^d _{p × d}in 3k-2 arrival curve matrix S ^3k-2 _{p × d}, obtain 3k-2 arrival curve matrix S ^3k-2 _{p × d}middle expression information flow j is through the element s of switching port i ^3k-2 _ij, obtain the maximum delay of switch transmission in intelligent substation communication network.

Specifically, by arrival curve matrix S ^d _{p × d}with service Curve Moment battle array K ^d _{p × d}middle corresponding element is brought in the time delay computing formula (8) of network calculus method, obtains substation communication network time delay distribution matrix Y _{p × d}.With message distribution matrix Y _{p × d}based on, introduce coefficient of reliability K' _dwith K " _d, according to formula (15) and formula (16) respectively computing network normally run coboundary matrix D H _{p × d}lower boundary matrix D L is normally run with network _{p × d}.

DH _P×d＝K' _d×Y _P×d(15)

DL _P×d＝K″ _d×Y _P×d(16)

In formula (15) and formula (16), K' _dfor being greater than the value of 1, K " _dfor being less than the value of 1, K' _dwith K " _dconcrete numerical value needs to determine according to network QoS and reliability requirement.This network failure setting method computational intelligence substation communication network message is at each switch ports themselves time delay exception or fault threshold; supervisory control system carries out Reasonable Protection control to exception and failure condition, effectively can avoid bursts of traffic or the message dropping situation of independent or several message.

The present embodiment also relates to a kind of intelligent substation communication method for monitoring network, and its flow chart as shown in Figure 5.In Fig. 5, this intelligent substation communication method for monitoring network comprises the steps:

Step S01 〞 initialization intelligent substation communication network monitoring system: in this step, initialization intelligent substation communication network monitoring system, about how specifically to carry out initialization, rear extended meeting is described in detail.

Step S02 〞 input communication network topological information and exchange message information: in this step, input communication network topological information and exchange message information.It is worth mentioning that, for each node failure flow information of communication network of adjusting, need to set up the effective Mathematical Modeling describing communication network physical message, the present invention is by setting up the directviewing description network node information such as physical connection matrix, VLAN Matrix dividing and logic connection matrix.

Step S03 〞 uses the network information matrix obtained to carry out network traffics fault and adjusts: in this step, use the network information matrix obtained to carry out network traffics fault to adjust, use disparate networks information and message information matrix computations to obtain network traffics distribution matrix specifically, utilize correlation formula to calculate fault flow setting value subsequently.

Step S04 〞 is by real-time distributed for network Monitoring Data input determinating area, judge whether the message inputted exists abnormal conditions by message reasonability determination module: in this step, by real-time distributed for network Monitoring Data input determinating area, judge whether the message inputted exists the abnormal conditions such as message coding mistake, timing error by message reasonability determination module, if the result judged is yes, then perform step S05 〞; Otherwise, perform step S06 〞.

Step S05 〞 will occur that abnormal result of determination is input to protecting control module: if the judged result of above-mentioned steps S04 〞 is yes, then perform this step.In this step, will occur that abnormal result of determination is input to protecting control module.Execute this step, perform step S09 〞.

Step S06 〞 carries out network condition judgement: if the judged result of above-mentioned steps S04 〞 is no, then perform this step.In this step, carry out network condition judgement.

Whether step S07 〞 supervising network flow and message time delay meet stable operation requirement: in this step, and whether supervising network flow and message time delay meet stable operation requirement, if the result judged is yes, then perform step S09 〞; Otherwise, perform step S08 〞.

Step S08 〞 judges break down and fault message is input to protecting control module: if the judged result of above-mentioned steps S07 〞 is no, then perform this step.In this step, judge break down and fault message is input to protecting control module.Execute this step, perform step S09 〞.

The Network Abnormal information of step S09 〞 correspondence input; output protection control signal is carried out: in this step according to the communication network Preservation tactics of setting; the Network Abnormal information of corresponding input, according to setting or the Preservation tactics of correspondence carry out output protection control signal.Execute this step, perform step S10 〞.

Step S10 〞 judges whether network topology and message information change: in this step, judges whether network topology and message information change, if the result judged is yes, then returns step S02 〞 and re-enters network topology and message information; Otherwise, return step S04 〞 Input Monitor Connector data.Owing to adopting on-line monitoring, the instant mode controlled, that it changes the failure analysis methods that original monitoring record and off-line analysis combine, efficiently solve recorded message waste and the excessively slow shortcoming of fault recovery, while recorded message can not be caused to waste.

For the present embodiment, above-mentioned steps S01 〞 also can refinement further, and the flow chart after its refinement as shown in Figure 6.In Fig. 6, above-mentioned steps S01 〞 comprises further:

Step S11 〞 arranges intelligent substation communication network monitoring system in a communication network: in this step, arranges intelligent substation communication network monitoring system in a communication network.

Each for each switch port message is accessed described intelligent substation communication network monitoring system through mirror port by step S12 〞: in this step, and each for each switch port message is accessed described intelligent substation communication network monitoring system through mirror port.

Step S13 〞 defines message correctness decision model, completion system initial work: in this step, definition message correctness decision model, completion system initial work.

In a word; in the present embodiment; a kind of intelligent substation communication network monitoring system, setting method and method for supervising are proposed; the mode combined that employing network service record is separated with on-line analysis, distributed node message accounting controls and centralized flow is adjusted; planned network node flow and delayed setting algorithm; set up intelligent substation communication network on-line monitoring method, to reaching the instant Control protection object of communication network.This on-line monitoring, the instant failure analysis methods that mode changes original monitoring record, off-line analysis combines controlled, efficiently solve the shortcoming that recorded message is wasted and fault recovery is excessively slow.In addition, the setting algorithm of the supervisory control system Flow Fault that the present invention proposes and packet network time delay, is calculated by network physical information integration, precisely prediction network traffics and time delay distribution, and then calculating obtains between communication network traffic and time delay normal working zone.In addition, this supervisory control system flow and delay fault threshold values setting method are not only applied to some extent at intelligent substation communication network protection control field, bring inspiration also to the design of intelligent substation communication network QoS and network optimization field.The intelligent substation communication network monitoring system that the present invention proposes adopts that Inspect and control is separated, distribution accumulate system and the centralized mode combined of adjusting, from message aspect and macroscopic flux two aspects, the intelligent substation communication network monitoring system of multi-angle is established to all kinds of message characteristic of IEC61850 and demand.

Propose monitoring in intelligent substation communication network monitoring system, adjust and judge that three parts are separate, fault is adjusted the design philosophy that model and decision model are dynamically changed according to network demand, has the aspect advantages such as flexible, reliable and instant.Intelligent substation communication network monitoring system, in conjunction with the multiple object research of test serial number, message status, message time delay and network traffics and parameter tuning, establishes multi-level, multi-angle, omnibearing decision model and protecting control model.The intelligent substation communication network monitoring system that the present invention proposes by monitoring, adjust, control three parts and be separated, fault is adjusted with the dynamic change of network physical changed condition, the design concept of on-line monitoring can carry out Fault Control in time, ensures electric substation automation system safe and stable operation.

The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (9)

1. an intelligent substation communication network monitoring system, it is characterized in that, comprise region of adjusting, monitored area and determinating area, described in adjust network traffics computational methods, the adaptive setting communication network traffic fault actions threshold values of region by study communication network physical structure information, to give out a contract for a project in conjunction with all kinds of messages of IEC61850 regulation rule and setting, described monitored area and described joint area of adjusting, for in real time each for all switches port being exchanged message mirror to described state of communication network of intelligent transformer station supervisory control system, message is resolved and parsing content is sent to described determinating area, gained information is also input to described determinating area by each port flow of Real-Time Monitoring, described determinating area is connected with described region and the monitored area of adjusting respectively, for carrying out preliminary fault verification by the reasonability of monitoring message sequential and message coding, and by described network implementation measurement of discharge and network traffics fault actions threshold values are contrasted, to carry out the location of network failure, control and recover, described region of adjusting comprises network topological information input module, network traffics distribution calculation module, network traffics are adjusted module, network delay distribution calculation module and network delay is adjusted module, described network traffics distribution calculation module and network delay distribution calculation module are all connected with described network topological information input module, described network traffics module of adjusting is connected with described network traffics distribution calculation module, and described network delay module of adjusting is adjusted with described network delay distribution calculation module and network traffics model calling respectively.

2. intelligent substation communication network monitoring system according to claim 1, it is characterized in that, described monitored area comprises network message mirror module, flow delay statistical module and packet parsing module, described network message mirror module is used in real time each for all switches port being exchanged message mirror to described intelligent substation communication network monitoring system, described flow delay statistical module is connected with described network message mirror module, add up for the real-time flow to communication network device port and message delay, described packet parsing module is connected with described flow delay statistical module, for resolving message and parsing content being sent to described determinating area.

3. intelligent substation communication network monitoring system according to claim 2, it is characterized in that, described determinating area comprises message reasonability determination module, network condition determination module and protecting control module, described message reasonability determination module and described packet parsing model calling, for according to described parsing content by monitoring message sequential and message coding carries out message reasonableness check; Described network condition determination module adjust with described flow delay statistical module, message reasonability determination module and network delay respectively model calling, for judging network condition; Described protecting control module is connected with described message reasonability determination module and network condition determination module respectively, for carrying out protecting control when communication network status is abnormal.

4. the substation communication network state on_line monitoring system according to claims 1 to 3 any one, is characterized in that, described parsing content comprises message APPID, state StNum and sequence number SqNum.

5. an intelligent substation communication networked tuning method, is characterized in that, comprises the steps:

A) initialization physical connection matrix, VLAN Matrix dividing, PVID Matrix dividing and information source node matrix equation;

B) logic connection matrix is set up;

C) the 0th information source node matrix equation is set up;

D) intermediate variable k initialize k=1 is set;

E) set up 3k-2 information source node matrix equation, perform step F) or/and step F ＇);

F) enter network traffics fault to adjust flow process;

F ＇) enter intelligent substation network delay distribution calculation process.

6. intelligent substation communication networked tuning method according to claim 5, is characterized in that, described step F) comprise further:

F1) 3k-1 information source node matrix equation is set up;

F2) by element zero setting relevant to device port in described 3k-1 information source node matrix equation, 3k information source node matrix equation is obtained;

F3) judge whether there is nonzero element in described 3k information source node matrix equation, in this way, make k=k+1, return step e); Otherwise, perform step F 4);

F4) make n=k, and obtain message distribution matrix by described 0th information source node matrix equation, 3k-2 information source node matrix equation and 3k-1 information source node matrix equation;

F5) communication network traffic distribution matrix is obtained by message packet sending speed matrix and described message distribution matrix;

F6) network traffics fault actions threshold values is obtained by described communication network traffic distribution matrix; Described network traffics fault actions threshold values comprises maximum stream flow distribution matrix and minimum discharge distribution matrix.

7. intelligent substation communication networked tuning method according to claim 6, is characterized in that, described step F ＇) comprise further:

F1 ＇) obtain in 3k-2 information source node matrix equation and represent the element of information flow j through switching port i;

F2 ＇) obtain 3k-2 and send in curve matrix and represent the element of information flow j through switching port i;

F3 ＇) obtain 3k-1 information source node matrix equation by described 3k-2 transmission curve matrix and physical connection matrix;

F4 ＇) if i port is destination interface, represents the element zero setting of information flow j through switching port i by described 3k-1 information source node matrix equation, obtain 3k information source node matrix equation;

F5 ＇) judge whether there is neutral element in described 3k information source node matrix equation, in this way, make k=k+1, return step e); Otherwise, perform step F 6 ＇);

F6 ＇) make n=k, obtain message distribution matrix;

F7 ＇) obtain arrival curve matrix by 3k-2 information source node matrix equation, obtain service curves matrix by 3k-2 service curves matrix;

F8 ＇) obtain 3k-2 service curves matrix in described service curves matrix, obtain in described 3k-2 service curves matrix and represent the element of information flow j through switching port i, obtain the 3k-2 arrival curve matrix in arrival curve matrix, obtain in described 3k-2 arrival curve matrix and represent the element of information flow j through switching port i, obtain the maximum delay of switch transmission in intelligent substation communication network.

8. an intelligent substation communication method for monitoring network, is characterized in that, comprises the steps:

A 〞) initialization intelligent substation communication network monitoring system;

B 〞) input communication network topological information and exchange message information;

C 〞) use the network information matrix obtained to carry out network traffics fault and adjust;

D 〞) by real-time distributed for network Monitoring Data input determinating area, judge whether the message inputted exists abnormal conditions by message reasonability determination module, in this way, by occurring that abnormal result of determination is input to protecting control module, perform step F 〞); Otherwise, carry out network condition judgement, perform step e 〞);

E 〞) whether supervising network flow and message time delay meet stable operation requirement, in this way, performs step F 〞); Otherwise, judge break down and fault message be input to described protecting control module, perform step F 〞);

F 〞) the corresponding Network Abnormal information inputted, carry out output protection control signal according to the communication network Preservation tactics of setting;

G 〞) judge whether network topology and message information change, in this way, return step B 〞); Otherwise, return step D 〞).

9. intelligent substation communication method for monitoring network according to claim 8, is characterized in that, described steps A 〞) comprise further:

A1 〞) arrange intelligent substation communication network monitoring system in a communication network;

A2 〞) each for each switch port message is accessed described intelligent substation communication network monitoring system through mirror port;

A3 〞) define message correctness decision model, completion system initial work.