| With the rapid development of the smart grid, power communications services also increasingly rich, but the rapid increase of traffic makes the load imbalance of electric power communication network become more serious. The over-concentration of services on certain links not only will increase the operate risk of network, also can reduce the resource utilization of the network. Therefore, it is very necessary to carry out the research on electric power OTN routing algorithm. Traditional routing algorithm can reduce the pressure on the balance of the network services to a certain extent, but the diversity of network routing configuration isn't taken into account, and it is difficult to apply directly.In order to solve the over-concentration problem of electric power OTN service, a network risk-based routing algorithm is proposed. Considering the influence of different service routing configuration on network risk, a new risk assessment model is introduced. The risk model can effectively evaluate the influence of single link failure on entire network services, and the evaluation results can be used to guide electric power OTN routing optimization as routing solution evaluation indice. On the premise of network topology and service requests being known, the algorithm firstly uses the k shortest path algorithm to calculate the alternate routes of each service, and then with the constraint conditions of the biggest network risk, the tabu search algorithm is used to optimize the network routing configuration solution and plan a set of smaller risk routes. Finally, the algorithm was applied to two kinds of classic experiment topology and a provincial power communication backbo ne network topology to validate the feasibility, validity and practicability of the algorithm. The experimental results show that the algorithm can effectively reduce the network service risks, improve the run quality of the network and has a certain practical significance and engineering value. |
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