Method and system for risk equalization of electric power communication network
A power communication network and risk equalization technology, applied in transmission systems, digital transmission systems, electrical components, etc., to achieve the effect of risk balance
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Embodiment 1
[0066] figure 1 A schematic flow diagram showing a risk equalization method for an electric power communication network according to an embodiment of the present invention, as shown in figure 1 As shown, the risk equalization method in this embodiment includes the following steps 101 to 107.
[0067] 101. Acquire node information, link information between adjacent nodes, and service information in an electric power communication network.
[0068] It can be understood that the node information includes the number of nodes and the services carried by each node, the link information includes the number of links and the services carried by each link, and the service information includes the number of services and the preset importance of each service. degree, the bandwidth value of each service, the start node and end node of each service.
[0069] for specific business k ,by Indicates the starting node of its business path, with Indicates the termination node of its busine...
Embodiment 2
[0141] This embodiment is implemented on the basis of Embodiment 1, and the same content will not be repeated here. The difference is specifically the solution process of the immune algorithm, as follows:
[0142] S1: Import the topology information, business information, risk degree of each node in the business single path set, the risk degree of each link, the network risk degree of the business single path set, the network load degree and the network balance degree of the power communication network, Set algorithm parameters: clone parent population number, mutation probability, population size number and maximum iteration number n max , generating n 0 Antibodies are used as the initial population O(n), the global vaccine is injected, and the number of iterations is set to n=0.
[0143] S2: Calculate the affinity of each antibody q, and sort the antibodies in O(n) in descending order by affinity, and extract the local vaccine. Select the first m in O(n) l Antibodies cons...
Embodiment 3
[0167] This embodiment is implemented on the basis of Embodiment 1 and Embodiment 2, specifically with figure 2 The network topology shown is the experimental object. It can be seen from the figure that there are 11 nodes and 15 links in the network. Set the parameters in the immune algorithm to clone the parent population to 30, the mutation probability to 0.1, the population size to 100, and the maximum evolutionary generation n max for 500. Set the failure probability of the node and the failure probability of the link They are:
[0168]
[0169]
[0170] There are five types of services that can be provided in the network, and the service information involved includes transmission delay, bit error rate, reliability, and bandwidth. The corresponding requirements are shown in Table 1:
[0171] Table 1 Business name and performance index value
[0172]
[0173] According to the data in Table 1, the business importance of each business can be calculated. In o...
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