CN105932775B - The analysis method that a kind of information system influences micro-capacitance sensor operational reliability - Google Patents
The analysis method that a kind of information system influences micro-capacitance sensor operational reliability Download PDFInfo
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Abstract
The analysis method that a kind of information system influences micro-capacitance sensor operational reliability.It establishes equipment static state link model and packet dynamic transmission model first against information system, then, consider the operation of the failure of information system equipment static state connection and unreliable (including transmission deviation, transmission delay and the transmission route mistake) of information system packet dynamic transmission quality with monte carlo method simulation micro-capacitance sensor physical message system, averagely to lack power supply volume and load-loss probability as index, analysis calculates the unreliable influence to micro-capacitance sensor operation of information system.Finally the quality of the failure for the connection of information system equipment static state and information system packet dynamic transmission carries out micro-capacitance sensor operational reliability sensitivity analysis.This method can find out the information system weak link that is affected to micro-capacitance sensor operational reliability and for micro-grid system become more meticulous planning and designing and operational management is provided scientific advice.
Description
Technical field
The invention belongs to Computer Control Technology field, more particularly to a kind of information system to micro-capacitance sensor operational reliability
The analysis method of influence.
Background technology
Information system plays important supporting role to safe efficient, the economical operation of electric system.However, information system
The failure that itself occurs of uniting can also influence the normal operation of electric system, be closed with the coupling of electrical physical system and information system
System is increasingly close, and influence of the information system to Power System Reliability cannot be ignored.Therefore, analysis information system and electrical physics
The coupled relation of system, influence of the quantitative information system to Operation of Electric Systems reliability screen and improve electrical physics-information
System weakness, it is most important to the operational reliability for improving electric system.
Micro-capacitance sensor as it is a kind of it is small-sized be transported to electricity system, be a kind of depth integration calculate, communication and control technology
Physics-information system.The physical system of micro-capacitance sensor includes the electricity such as distributed generation resource, energy storage device, energy conversion device, load
Gas equipment；Information system is set including data collector, state detector, controller, communication equipment and high-performance calculation decision
It is standby to wait information equipments.It is micro- to coordinate fully and effectively the power-balance relationship of all kinds of power generations, energy storage and load in micro-capacitance sensor
Power grid needs to acquire the information of each electrical equipment in real time by safe and reliable information system, and is correlation based on certain strategy
Controlled plant is issued an order execution information, to ensure the stabilization of the voltage of entire micro-capacitance sensor and frequency, while support realization towards
The microgrid energy management of the targets such as economic load dispatching and running optimizatin, information system once breaks down will likely be greatly
Influence the safe and stable operation of micro-capacitance sensor.
Also occur to the research of micro-capacitance sensor reliability effect about information system, some researchers point out micro-capacitance sensor
The damage of middle communication control terminal can cause the equipment that it is controlled out of service, the research only considered information equipment with it is electrical
The static coupled relation of equipment, but the uncertainty that load in micro-capacitance sensor, distributed generation resource are contributed is larger, different moments, no
Information system failure with information equipment may be very different the impact effect of micro-capacitance sensor operational reliability, it is therefore desirable to
On the basis of simulating micro-capacitance sensor physics-information system cooperation, influence of the analysis information system to micro-capacitance sensor operational reliability.
Invention content
To solve the above-mentioned problems, the purpose of the present invention is to provide a kind of information system to micro-capacitance sensor operational reliability shadow
Loud analysis method.
In order to achieve the above object, the analysis method that information system provided by the invention influences micro-capacitance sensor operational reliability
Including the following steps performed in order：
Step 1) builds up an information system information equipment static state link model：First, it is established for information equipment in information system
Static connection matrix；Then, it is information in information system with Depth Priority Algorithm based on above-mentioned static connection matrix
Equipment establishes communication path, finally obtains information equipment static state link model；
Step 2) builds up an information system packet dynamic transmission model：On the established communication path of step 1), consider
Three kinds of transmission deviation of the packet in the transmission process of communication path, transmission delay and transmission route mistake situations are information
Dynamic transmission model is established in the propagation wrapped in information system；
Step 3) simulates micro-capacitance sensor physical system and information system operating status：Consider that micro-grid load, power supply are contributed
Uncertainty, the communication path obtained using step 1), the packet dynamic transmission model obtained using step 2) are special with covering
Carlow method simulation micro-capacitance sensor physical system and information system operating status；
Step 4) micro-capacitance sensor operational reliability is evaluated and sensitivity analysis：It is averaged by what is acquired after step 3) dry run
Power supply volume and load-loss probability are lacked as reliability index, analysis calculates the unreliable shadow to micro-capacitance sensor operation of information system
It rings, the unreliable micro- electricity of carry out of unreliable and information packet transmissions quality finally connected for information equipment static state in information system
Network operation sensitivity analysis.
In step 1), the method for the information equipment static state link model that builds up an information system includes the following steps：
Step 1.1) builds up an information system the static connection matrix of information equipment：
Information equipment each in information system is defined as node, the connection relation of two information equipments is defined as side, will
All information equipments in communication network are numbered, the connection relation between confirmation message equipment, establish static connection matrix
A, then if node i is connected with node j, Aij=1, otherwise Aij=0；
Step 1.2) establishes communication with Depth Priority Algorithm based on above-mentioned static connection matrix A for information equipment
Path.
It is described based on static connection matrix A in step 1.2), it is built using Depth Priority Algorithm for information equipment
The method of vertical communication path includes the following steps：
Step 1.2.1) with Monte Carlo Analogue Method, judgment step 1.1) in obtain static connection matrix A in information
Whether equipment breaks down, if there is information equipment failure at this time, performs step 1.2.2 in next step)；Otherwise, it performs in next step
Step 1.2.3)；
Step 1.2.2) there are the rows of the node serial number corresponding to the information equipment of failure for rejecting from static connection matrix A
With row, so as to form fault-free information equipment static state connection matrix；
Step 1.2.3) with DFS algorithms communication path is established for trouble-free information equipment in the information system, it removes
Redundant channel, to ensure there was only a communication path between each two information equipment and keep clear；
Step 1.2.4) the irredundant simplification communication network topology of output, finally obtain information equipment in the information system
Static link model.
In step 2), the method for the packet dynamic transmission model that builds up an information system includes the following steps：
Step 2.1) establishes packet model：
Assuming that there is a packet S to need through the information equipment in information system in communication network to be analyzed moment t
I eventually arrives at information equipment k, uses for reference the concept of information communications field data packet, can be expressed as packet model
Step 2.2) utilizes above- mentioned information packet model foundation information system information packet transmissions error model：
If the transmission probability of error of the first part of the payload during information packet transmissions, i.e. packet is Perror1,
The transmission probability of error of the second part of header information, i.e. packet is Perror2, the margin of error is the function e of moment t1(t), e2
(t), then after considering information transmission error, the information of information equipment i outputs is calculated according to formula (1), (2)：
K'=k-int (rand (0,1)-Perror2)×e2(t) (2)
Step 2.3) utilizes above- mentioned information packet model foundation information transmission delay model：
If the transmission delay probability of packet is P in message transmitting procedureerrort, amount of delay is the function e of moment tt(t),
Then packet is calculated by the formula (3) of the output after information equipment i：
Combining step 2.2) in information packet transmissions error model and step 2.3) in information packet transmissions delay model, obtain
To the output situation when packet S is by information equipment i：
K'=k-int (rand (0,1)-Perror2)×e2(t) (5)
Formula (4), (5) are known as transmission path dynamic transmission function F.
In step 3), described simulates micro-capacitance sensor physical system and information system operating status with monte carlo method
Method include the following steps：
5.1) information gathering process：By electrical in the data collector in information system and state detector acquisition micro-capacitance sensor
The electricity and status information (such as voltage, electric current information about power and motor, the status information switched) of equipment, form packet S；
5.2) information upload procedure：The packet dynamic that the communication path and step 2) established by step 1) are established passes
Defeated model is uploaded using above-mentioned transmission path dynamic transmission function F into row information；
5.3) information processing and decision process：Communication path and dynamic transmission in information equipment is all normal,
Packet S is transferred to micro-capacitance sensor central controller, and micro-capacitance sensor central controller is run by the micro-capacitance sensor that dispatcher sets
Target processing data Real time optimal dispatch operation, and form the command information packet S of electrical equipment in each micro-capacitance sensorset；
5.4) journey is transmitted through under ordering：The packet dynamic that the communication path and step 2) established by step 1) are established passes
Defeated model, i.e., using above-mentioned transmission path dynamic transmission function F by command information packet SsetPass corresponding micro-capacitance sensor electrical equipment back
In；
5.5) order implementation procedure：Micro-capacitance sensor electrical equipment is according to packet SsetComplete corresponding combustion adjustment action.
In step 4), micro-capacitance sensor operational reliability evaluation and sensitivity analysis include the following steps：
Step 4.1) reliability index calculates：
The calculation formula of the reliability index LOLP of micro-capacitance sensor physics-information system is as follows：
eensiAnd lolpiIt is that acquired after the operation of Monte Carlo simulation micro-capacitance sensor under i-th of time step average lacks respectively
Power supply volume and load-loss probability, n are Monte Carlo simulation number, and the index acquired every time is added up and does average treatment, is obtained
Reliability index of the micro-grid system studied under the influence of information system；
Step 4.2) sensitivity analysis：
Change the dependability parameter of each information equipment successively, including reliability, the payload transmission probability of error, information
The transmission of preamble probability of error and transmission delay probability calculate the micro-capacitance sensor reliability index under relevant parameter, it will be able to analyze
Influence of which link to micro-capacitance sensor reliability is maximum in information system.
The analysis method that information system provided by the invention influences micro-capacitance sensor operational reliability, first against information system
Equipment static state link model and packet dynamic transmission model are established, then, considers the failure of information system equipment static state connection
It is used with unreliable (including transmission deviation, transmission delay and the transmission route mistake) of information system packet dynamic transmission quality
The operation of monte carlo method simulation micro-capacitance sensor physics-information system, averagely to lack power supply volume (EENS) and load-loss probability
(LOLP) it is index, analysis calculates the unreliable influence to micro-capacitance sensor operation of information system.Finally it is directed to information system equipment
The failure of static state connection and the quality of information system packet dynamic transmission carry out micro-capacitance sensor operational reliability sensitivity analysis.It should
Method can find out the information system weak link being affected to micro-capacitance sensor operational reliability and becoming more meticulous for micro-grid system
Planning and designing and operational management are provided scientific advice.
Description of the drawings
Fig. 1 is the analysis method flow chart that information system provided by the invention influences micro-capacitance sensor operational reliability.
Fig. 2 is information equipment annexation figure in information system；
Fig. 3 is the information equipment communication path establishment method flow chart based on DFS algorithms；
Fig. 4 is well-established information equipment communication path；
Fig. 5 is the overall operation schematic diagram of micro-capacitance sensor physics-information system based on monte carlo method；
Fig. 6 is independent micro-capacitance sensor schematic diagram；
Fig. 7 is the information equipment annexation figure of information system in embodiment；
Fig. 8 is Monte Carlo simulation convergence process figure；
Fig. 9 is influence sensitivity analysis figure of the packet dynamic transmission quality to reliability；
Figure 10 is impact analysis figure of the information terminal reliability to sensitivity；
Figure 11 is impact analysis figure of the communication line reliability to sensitivity；
Figure 12 is impact analysis figure of the interchanger reliability to sensitivity；
Specific embodiment
Micro-capacitance sensor operational reliability is influenced in the following with reference to the drawings and specific embodiments
Analysis method be described in detail.
As shown in Figure 1, information system provided by the invention includes pressing on the analysis method that micro-capacitance sensor operational reliability influences
The following steps that sequence performs：
Step 1) builds up an information system information equipment static state link model：First, it is established for information equipment in information system
Static connection matrix；Then, it is in information system with depth-first search (DFS) algorithm based on above-mentioned static connection matrix
Information equipment establishes communication path, finally obtains information equipment static state link model；
Step 2) builds up an information system packet dynamic transmission model：On the established communication path of step 1), consider
Three kinds of transmission deviation of the packet in the transmission process of communication path, transmission delay and transmission route mistake situations are information
Dynamic transmission model is established in the propagation wrapped in information system；
Step 3) simulates micro-capacitance sensor physical system and information system operating status：Consider that micro-grid load, power supply are contributed
Uncertainty, the communication path obtained using step 1), the packet dynamic transmission model obtained using step 2) are special with covering
Carlow method simulation micro-capacitance sensor physical system and information system operating status；
Step 4) micro-capacitance sensor operational reliability is evaluated and sensitivity analysis：It is averaged by what is acquired after step 3) dry run
Power supply volume (EENS) and load-loss probability (LOLP) are lacked as reliability index, analysis calculates the unreliable to micro- electricity of information system
The influence of network operation, the unreliable and information packet transmissions quality finally connected for information equipment static state in information system can not
By carrying out micro-capacitance sensor operation sensitivity analysis.
In step 1), the method for the information equipment static state link model that builds up an information system includes the following steps：
Step 1.1) builds up an information system the static connection matrix of information equipment：
The purpose of this step is closed with the connection between each information equipment in static connection matrix A description information systems
System, the foundation for information system communication path provide underlying topology.Detailed process is as follows：
Information equipment each in information system is defined as node, the connection relation of two information equipments is defined as side.Such as
Shown in Fig. 2, in information system, micro-capacitance sensor central controller is responsible for being monitored and controlled the operation of entire micro-capacitance sensor, and interchanger is born
The transmission and forwarding of information in micro-capacitance sensor are blamed, information communication mode is fiber optic communication.The system is a ring-type communication network, will
All information equipments in communication network are numbered, the connection relation between confirmation message equipment, establish static connection matrix
A, then if node i is connected with node j, Aij=1, otherwise Aij=0.Now illustrate that static connection matrix was established by taking Fig. 2 as an example
The information equipments such as journey, wherein micro-capacitance sensor central controller, optical fiber 1, interchanger 1 are represented as node, respectively number be 1,2,
3…….No. 1 equipment (micro-capacitance sensor central controller) is connected directly with No. 2 equipment (optical fiber 1), is expressed as A12=A21=1；It exchanges
Machine 1 is not connected directly with interchanger 4, then it represents that is A37=A73=0.16 information equipments are included in Fig. 2 altogether, then the static state connects
Matrix A is connect as 16 × 16 matrixes.
Step 1.2) establishes communication with Depth Priority Algorithm based on above-mentioned static connection matrix A for information equipment
Path：
The purpose of this step is that the information rejected in the static connection matrix A that step 1.1) obtains there may be failure is set
It is standby, establish communication path for trouble-free information equipment.The communication path of information network in reality is usually there are redundancy, 2 points
Between keep smooth communication communication path may have it is a plurality of, wherein on a communication path information equipment damage may be not
The normal communication between this 2 points is influenced, therefore, it is necessary to own in information equipment static state connection matrix and communication network is obtained
Whether on the basis of malfunction, the information equipment for information system establishes communication path to information equipment.
Depth-first search (Depth First Search, DFS) algorithm is the classic algorithm in graph theory, excellent using depth
First searching algorithm can generate the corresponding topological sorting table of target figure, and many correlations can be easily solved using topological sorting table
Graph theoretic problem, the present invention searched using DFS algorithms and establish the communication path between each information equipment.
As shown in figure 3, in step 1.2), it is described based on static connection matrix A, be using Depth Priority Algorithm
The method that information equipment establishes communication path includes the following steps：
Step 1.2.1) with Monte Carlo Analogue Method, judgment step 1.1) in obtain static connection matrix A in information
Whether equipment breaks down, if there is information equipment failure at this time, performs step 1.2.2 in next step)；Otherwise, it performs in next step
Step 1.2.3)；
Step 1.2.2) there are the rows of the node serial number corresponding to the information equipment of failure for rejecting from static connection matrix A
With row, so as to form fault-free information equipment static state connection matrix；
Step 1.2.3) with DFS algorithms communication path is established for trouble-free information equipment in the information system, it removes
Redundant channel, to ensure there was only a communication path between each two information equipment and keep clear；
Step 1.2.4) the irredundant simplification communication network topology of output, finally obtain information equipment in the information system
Static link model.
Now the communication network in Fig. 2 is simplified using said communication paths method for building up：There is the static connection of redundancy
Matrix A has acquired, it is now assumed that interchanger 2 breaks down and moves back with optical fiber 6 (number of two information equipments is respectively 6 and 12)
Go out operation, then the 6th row the 6th row need to reject with the 12nd row the 12nd row in static connection matrix A, and lead to set forth above
Believe path establishment method, obtain finally being capable of the simplification communication network of normal operation, as shown in Figure 4.No. 6 equipment and No. 12 equipment
For faulty equipment, it has been removed；No. 4 equipment and No. 15 equipment are can not be with its in communication network after DFS Algorithm Analysis
It partly forms the equipment completely routeing, therefore can not participate in normal communication；Remaining equipment is with normal operation and can participate in logical
The equipment of letter.As can be seen that since cyclic structure has redundant channel, although one of interchanger breaks down, No. 14 and
No. 16 equipment remain able to node 1 i.e. No. 1 equipment (micro-capacitance sensor central controller) holding communicate it is unobstructed, so as to keep normally transporting
Row.But No. 15 equipment can not keep communicating since optical fiber 6 breaks down with micro-capacitance sensor central controller, so as to out of service.
To simulation information system operation in addition to needing to know the connection relation of information equipment and the communication path of equipment
(the information system equipment static state link model i.e. in step 1) outside, it is also necessary to know dynamic transmission of the information in communication path
State is modeled below by step 2) for dynamic transmission state of the information in communication path：
In step 2), the method for the packet dynamic transmission model that builds up an information system includes the following steps：
Step 2.1) establishes packet model：
Assuming that there is a packet S to need through the information equipment in information system in communication network to be analyzed moment t
I eventually arrives at information equipment k, uses for reference the concept of information communications field data packet (Packet), can represent packet model
For
Altogether containing two parts information in the packet model, first part is payload, that is, needs the information content transmitted
Value, such as the amount of voltage, electric current, switch change amount；Second part is header information, includes packetIt is final to need to send
The address of the address reached, i.e. information equipment k, the address may be the address of micro-capacitance sensor central controller, it is also possible to be some
The mailing address of information equipment, depending on the situation that information in operational process is transmitted.
If packet S is by having occurred transmission disturbance, packet model during information equipment iIn
Two parts information is likely to change because of disturbance, so as to which after packet S is by information equipment i, packet model becomesInfluence of the concrete analysis communication path quality problems to packet below, it is main to include what information was transmitted
Error and two kinds of situations of delay of information transmission.
Step 2.2) utilizes above- mentioned information packet model foundation information system information packet transmissions error model：
It needs to consider the error that information is transmitted during information packet transmissions, if the payload during information packet transmissions
The transmission probability of error of (first part of packet) is Perror1, the transmission error of header information (second part of packet)
Probability is Perror2, the margin of error is the function e of moment t1(t), e2(t), then after considering information transmission error, information equipment i outputs
Information according to formula (1), (2) calculate：
K'=k-int (rand (0,1)-Perror2)×e2(t) (2)
Rand (0,1) in formula (1), (2) generates the random number between 0~1, and int is bracket function, by comparing rand
(0,1) and the size of the probability of error judges whether transmitted information can generate error.Such as set Perror1=0.2, primary
In message transmitting procedure, if the random number generated is 0.8, e1(t) coefficient before is 0, illustrates that transmission process is not produced at this time
Raw error, if the random number generated is 0.15, the value of bracket function int outputs is -1, it was demonstrated that transmission process generates mistake at this time
Difference；
Step 2.3) utilizes above- mentioned information packet model foundation information transmission delay model：
Similarly, if the transmission delay probability of packet is P in message transmitting procedureerrort, amount of delay is the function of moment t
et(t), then packet is calculated by the formula (3) of the output after information equipment i：
If e in formula (3)t(t) coefficient before is -1, then it represents that information equipment i is until t+et(t) it could be exported at the time of
Packet S, in t to t+et(t) in this period will not output information, so as to produce information transmission delay；If e in formula (3)t
(t) coefficient before is 0, then it represents that the transmission process does not generate delay, and information equipment i will output information packet S in t moment.
Combining step 2.2) in information packet transmissions error model and step 2.3) in information packet transmissions delay model, just
It can obtain the output situation when packet S is by information equipment i：
K'=k-int (rand (0,1)-Perror2)×e2(t) (5)
Formula (4), (5) are known as transmission path dynamic transmission function F, have considered information equipment failure, packet passes
The factor of defeated error and information transmission delay；Applying step 1 first in this way) for information transmission one communication path of structure, then
Dynamic transmission model of the packet in this communication path can be established by formula (4) in step 2), (5).
The operational reliability index of micro-capacitance sensor in order to obtain needs to carry out the operation of multiple micro-capacitance sensor physics-information system
Simulation, will simulate obtained reliability index every time and sum up will averagely obtain final micro-capacitance sensor operational reliability and refer to
Mark.
As shown in figure 5, in step 3), described simulates micro-capacitance sensor physical system and information system with monte carlo method
The method of system operating status includes the following steps：
5.1) information gathering process：By electrical in the data collector in information system and state detector acquisition micro-capacitance sensor
The electricity and status information (such as voltage, electric current information about power and motor, the status information switched) of equipment, form packet S；
5.2) information upload procedure：The packet dynamic that the communication path and step 2) established by step 1) are established passes
Defeated model is uploaded using above-mentioned transmission path dynamic transmission function F into row information；
5.3) information processing and decision process：Communication path and dynamic transmission in information equipment is all normal,
Packet S is transferred to micro-capacitance sensor central controller, and micro-capacitance sensor central controller is run by the micro-capacitance sensor that dispatcher sets
Target processing data Real time optimal dispatch operation, and form the command information packet S of electrical equipment in each micro-capacitance sensorset；
5.4) journey is transmitted through under ordering：The packet dynamic that the communication path and step 2) established by step 1) are established passes
Defeated model, i.e., using above-mentioned transmission path dynamic transmission function F by command information packet SsetPass corresponding micro-capacitance sensor electrical equipment back
In；
5.5) order implementation procedure：Micro-capacitance sensor electrical equipment is according to packet SsetComplete corresponding combustion adjustment action.
In physics-information system operational process of simulation micro-capacitance sensor, the failure of information system is (including information equipment failure
Information packet transmissions caused by caused communication path interruption, transmission error, delay are distorted) it is likely to influence the electric power confession of micro-capacitance sensor
It needs to balance, so as to influence the reliability service of micro-capacitance sensor.It is therefore necessary to evaluate micro-capacitance sensor is likely to occur failure in information system
In the case of operational reliability.
In step 4), micro-capacitance sensor operational reliability evaluation and sensitivity analysis include the following steps：
Step 4.1) reliability index calculates：
The calculation formula of the reliability index (LOLP) of micro-capacitance sensor physics-information system is as follows：
eensiAnd lolpiIt is that acquired after the operation of Monte Carlo simulation micro-capacitance sensor under i-th of time step average lacks respectively
Power supply volume and load-loss probability, n are Monte Carlo simulation number, and the index acquired every time is added up and does average treatment, so that it may
Obtain reliability index of the studied micro-grid system under the influence of information system.
Step 4.2) sensitivity analysis：
Sensitivity analysis is intended to find out the information system weak link for influencing micro-capacitance sensor operation, and table 1 gives micro- in simulation
Information equipment dependability parameter in information system in the physics of power grid-information system operational process, based on 1 data of table, according to
The secondary dependability parameter for changing each information equipment (is missed including reliability, the payload transmission probability of error, information header transmission
Poor probability and transmission delay probability), calculate the micro-capacitance sensor reliability index under relevant parameter, it will be able to analyze in information system
Influence of which link to micro-capacitance sensor reliability is maximum, so as to for micro-capacitance sensor become more meticulous planning and designing and operational management provides section
It learns and suggests.
Information equipment dependability parameter in 1 information system of table
With reference to specific embodiment, the present invention is described further：
Fig. 6 is independent micro-capacitance sensor schematic diagram, which has two busbares, and busbar 1 is connected to load and miniature gas
Turbine MG.Miniature gas turbine MG is dispatched by Energy Management System, is that stablizing in the micro-capacitance sensor is contributed, which carries
Voltage supplied frequency supports, and minimum and maximum contribute is respectively 100kW and 10kW.Assumed load is fluctuating load, probability distribution
Random distribution for average value 50kW.Accumulator B and wind-driven generator WT are connected on busbar 2, the capacity of accumulator B is
500kWh, maximum output 10kW.Wind-driven generator WT maximum output is 50kW.Wind-driven generator WT is set to contribute as Weibull
Distribution.Distributed generation resource is equipped with controller (LC and MC) with load, these controllers are acquired in real time in micro-capacitance sensor physical system
The electricity and status information of each electrical equipment, and pass through the micro-capacitance sensor central controller that communication network uploads to information system
(MGCC) in, MGCC assigns instruction such as load as all electrical equipments according to the operation reserve and collected information set and cuts
Setting, the setting of distributed generation resource output, distributed generation resource start and stop setting etc., these instructions are transmitted to each by communication network
It is performed in controller.
Step 1) builds up an information system information equipment static state link model
Static connection matrix A is established for the information system of micro-capacitance sensor shown in Fig. 6, and excellent with depth with the method for step 1)
First searching algorithm establishes communication path (as shown in Figure 7) for information equipment.
Step 2) builds up an information system packet dynamic transmission model
It is information packet transmissions in information system based on the information equipment communication path that step 1) is established with formula (4), (5)
Dynamic process is modeled.
Step 3) simulates micro-capacitance sensor physical system and information system operating status：
The target of micro-capacitance sensor is the Optimized Operation realized to distributed generation resource and energy storage device, ensures steady in a long-term, warp
Ji operation, the present invention select operation reserve of the hard charging strategy as the independent micro-capacitance sensor, and micro-capacitance sensor operation reserve is various in fact,
Research emphasis of the present invention is concerned with the influence that information system runs micro-capacitance sensor, and the method studied is also applied for other operations
Strategy.As shown in Figure 5 using the operation of non-sequential Monte Carlo method simulation micro-capacitance sensor physics-information system and using annual
Load-loss probability (LOLP) and annual lack power supply volume (EENS) and carry out reliability when evaluation information system runs the micro-capacitance sensor
It influences.
Step 4) micro-capacitance sensor operational reliability is evaluated and sensitivity analysis
Step 4.1) reliability index calculates：
With 1 hour for basic step-length, Fig. 8 is that Monte Carlo simulation runs obtained annual mistake load for 5000
(EENS) and the change curve of annual load-loss probability (LOLP), it can be seen that calculating process restrains, obtain annual lose it is negative
Lotus amount is 1302.7kWh, and annual load-loss probability is 0.336%.Although the reliability of information system transmission information reaches
99.99%, for control errors within 3%, the reliability of information equipment has also reached 99%, but due to information system and power train
The height coupling of system, even if the error of very little occurs for information system or delay is likely to the inaccuracy that order is caused to perform, from
And destroy the equilibrium of supply and demand of electric system.And once information system information equipment breaks down, which does not back up again
Redundant channel, consequence may be that partial electric system is directly out of service, this can cause the accident of bigger to occur.
Step 4.2) sensitivity analysis：
In the sensitivity analysis influenced in communication path quality on micro-capacitance sensor operational reliability, the transmission of payload is enabled to miss
Poor probability Perror1, header information (transmission route mistake) transmission probability of error Perror2With the transmission delay probability of packet
Perrort0.001 is progressively increased to from 0.0001 in original example, observes the situation of change of micro-capacitance sensor reliability index.Such as Fig. 9
It is shown：
It can be analyzed from figure, transmission error, delay, routing error are consistent to the impact effect of load-loss probability, and
It is larger to the influence difference for losing load.Routing error is maximum to the influence for losing load, because router is often communication system
The key node of system, once mistake occurs in transmission route, information can not reach correct electric part, then be equivalent to entire biography
Defeated chain is ineffective, and larger impact is had to the operation of electrical system.And transmitting error influences system reliability minimum, because
Transmission control errors for information can only influence the equilibrium of supply and demand of sub-fraction, therefore relative effect is smaller within 3%.
Consider influence of the failure of three kinds of communication terminal, transmission line, interchanger information equipments to system reliability；Enable three kinds
The failure rate λ of equipment is gradually increased to 10 times, observes the situation of change of reliability index.
Figure 10-Figure 12 shows that information system equipment failure rate influences micro-capacitance sensor operational reliability sensitivity, and information is whole
The sensitivity that end failure rate lacks system operation year power supply volume is 1114.45kW/ (next year), and communication line is to system year short of electricity amount
Sensitivity for 496.038kW/ (next year), the sensitivity that router failure rate lacks system operation year power supply volume is
2371.749kW/ (next year), it can thus be seen that in the tree network of such as Fig. 7, exchange fault is to micro-capacitance sensor reliability
Maximum is influenced, because in tree structure, interchanger is the joint of each communication line, if the nodes break down that crosses,
It can then cause a plurality of communication line out of service, be affected to the power supply of electric system.In addition, control terminal is unreliable right
The short of electricity amount contribution of micro-capacitance sensor operation is maximum, and interchanger takes second place, the reason is that the reliability of control terminal is relatively low, and quantity compared with
It is more, once some control terminal is out of service, control electrical equipment it is also out of service, as a result can on micro-capacitance sensor influence compared with
Greatly.And the failure rate of interchanger is smaller in actual motion, therefore although the sensitivity of interchanger is maximum, since its operation can
By property height, therefore failure rate is extremely low, so, lead to lack situation about powering compared to control because of exchange fault in actual motion
Terminal fault processed is few.
Claims (5)
1. a kind of analysis method that information system influences micro-capacitance sensor operational reliability, it is characterised in that：The information system
The following steps performed in order are included on the analysis method that micro-capacitance sensor operational reliability influences：
Step 1) builds up an information system information equipment static state link model：First, it is established for information equipment in information system static
Connection matrix；Then, it is information equipment in information system with Depth Priority Algorithm based on above-mentioned static connection matrix
Communication path is established, finally obtains information equipment static state link model；
Step 2) builds up an information system packet dynamic transmission model：On the established communication path of step 1), information is considered
Three kinds of transmission deviation in the transmission process of communication path, transmission delay and transmission route mistake situations are wrapped, are existed for packet
Dynamic transmission model is established in the propagation of information system；
Step 3) simulates micro-capacitance sensor physical system and information system operating status：Consider that micro-grid load, power supply are contributed not true
Communication path that is qualitative, being obtained using step 1), the packet dynamic transmission model obtained using step 2), with Monte Carlo
Method simulates micro-capacitance sensor physical system and information system operating status；
Step 4) micro-capacitance sensor operational reliability is evaluated and sensitivity analysis：It is supplied by average lack acquired after step 3) dry run
Electricity and load-loss probability are as reliability index, and analysis calculates the unreliable influence to micro-capacitance sensor operation of information system, most
The unreliable carry out micro-capacitance sensor fortune of unreliable and information packet transmissions quality connected afterwards for information equipment static state in information system
Line sensitivity is analyzed；
In step 2), the method for the packet dynamic transmission model that builds up an information system includes the following steps：
Step 2.1) establishes packet model：
Assuming that there is a packet S to need through the information equipment i in information system in communication network to be analyzed moment t, most
Zhongdao reaches information equipment k, uses for reference the concept of information communications field data packet, can be expressed as packet model
Step 2.2) utilizes above- mentioned information packet model foundation information system information packet transmissions error model：
If the transmission probability of error of the first part of the payload during information packet transmissions, i.e. packet is Perror1, header
The transmission probability of error of the second part of information, i.e. packet is Perror2, the margin of error is the function e of moment t1(t), e2(t), then
After considering information transmission error, the information of information equipment i outputs is calculated according to formula (1), (2)：
K'=k-int (rand (0,1)-Perror2)×e2(t) (2)
Step 2.3) utilizes above- mentioned information packet model foundation information transmission delay model：
If the transmission delay probability of packet is P in message transmitting procedureerrort, amount of delay is the function e of moment tt(t), then believe
Breath packet is calculated by the formula (3) of the output after information equipment i：
Combining step 2.2) in information packet transmissions error model and step 2.3) in information packet transmissions delay model, worked as
Output situation when packet S is by information equipment i：
K'=k-int (rand (0,1)-Perror2)×e2(t) (5)
Formula (4), (5) are known as transmission path dynamic transmission function F.
2. the analysis method that information system according to claim 1 influences micro-capacitance sensor operational reliability, it is characterised in that：
In step 1), the method for the information equipment static state link model that builds up an information system includes the following steps：
Step 1.1) builds up an information system the static connection matrix of information equipment：
Information equipment each in information system is defined as node, the connection relation of two information equipments is defined as side, will communicate
All information equipments in network are numbered, the connection relation between confirmation message equipment, establish static connection matrix A, that
If node i is connected with node j, Aij=1, otherwise Aij=0；
Step 1.2) establishes communication path with Depth Priority Algorithm based on above-mentioned static connection matrix A for information equipment.
3. the analysis method that information system according to claim 2 influences micro-capacitance sensor operational reliability, it is characterised in that：
It is described based on static connection matrix A in step 1.2), with Depth Priority Algorithm communication lines are established for information equipment
The method of diameter includes the following steps：
Step 1.2.1) with Monte Carlo Analogue Method, judgment step 1.1) in obtain static connection matrix A in information equipment
Whether break down, if there is information equipment failure at this time, perform step 1.2.2 in next step)；Otherwise, step is performed in next step
1.2.3)；
Step 1.2.2) from static connection matrix A reject there are the node serial number corresponding to the information equipment of failure row with
Row, so as to form fault-free information equipment static state connection matrix；
Step 1.2.3) with DFS algorithms communication path is established for trouble-free information equipment in the information system, remove redundancy
Channel, to ensure there was only a communication path between each two information equipment and keep clear；
Step 1.2.4) irredundant simplification communication network topology is exported, finally obtain the static state of information equipment in the information system
Link model.
4. the analysis method that information system according to claim 1 influences micro-capacitance sensor operational reliability, it is characterised in that：
In step 3), the method packet that micro-capacitance sensor physical system and information system operating status are simulated with monte carlo method
Include following steps：
5.1) information gathering process：By electrical equipment in the data collector in information system and state detector acquisition micro-capacitance sensor
Electricity and status information, form packet S；
5.2) information upload procedure：The packet dynamic transmission mould that the communication path and step 2) established by step 1) are established
Type is uploaded using above-mentioned transmission path dynamic transmission function F into row information；
5.3) information processing and decision process：Communication path and dynamic transmission in information equipment is all normal, information
Packet S is transferred to micro-capacitance sensor central controller, the micro-capacitance sensor operational objective that micro-capacitance sensor central controller is set by dispatcher
The operation of data Real time optimal dispatch is handled, and forms the command information packet S of electrical equipment in each micro-capacitance sensorset；
5.4) journey is transmitted through under ordering：The packet dynamic transmission mould that the communication path and step 2) established by step 1) are established
Type, i.e., using above-mentioned transmission path dynamic transmission function F by command information packet SsetIt passes back in corresponding micro-capacitance sensor electrical equipment；
5.5) order implementation procedure：Micro-capacitance sensor electrical equipment is according to packet SsetComplete corresponding combustion adjustment action.
5. the analysis method that information system according to claim 1 influences micro-capacitance sensor operational reliability, it is characterised in that：
In step 4), micro-capacitance sensor operational reliability evaluation and sensitivity analysis include the following steps：
Step 4.1) reliability index calculates：
The calculation formula of the reliability index LOLP of micro-capacitance sensor physics-information system is as follows：
eensiAnd lolpiIt is that average lack acquired after the operation of Monte Carlo simulation micro-capacitance sensor under i-th of time step is powered respectively
Amount and load-loss probability, n are Monte Carlo simulation number, and the index acquired every time is added up and does average treatment, obtains being ground
Reliability index of the micro-grid system studied carefully under the influence of information system；
Step 4.2) sensitivity analysis：
Change the dependability parameter of each information equipment successively, including reliability, the payload transmission probability of error, information header
The probability of error and transmission delay probability are transmitted, calculates the micro-capacitance sensor reliability index under relevant parameter, it will be able to analyze information
Influence of which link to micro-capacitance sensor reliability is maximum in system.
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