Research On The Key Application Technology Of OTN In The Electric Power Backbone Transmission Network

With the explosive growth of carrying traffic, the expanding of network scaleand the developing of smart grid in electric power backbone transmission network, itputs new requirements that large particle and high bandwidth to fiber resources.However, because of the lower transmission bandwidth of SDH which is well adoptedby backbone transmission network nowadays, it becomes the bottleneck limiting thedevelopment. WDM is also criticized because of inflexible in networking. Buildingbackbone transmission network with OTN to cover the state grid will bring newprospects for the electric power backbone transmission network. OTN can increasethe bandwidth and add features to the transmission network. Owing to the OTNnetwork carrying large amounts of information, once the interrupt of communicationprocess, it will bring huge economic losses and serious social impact. Thus thenetwork survivability issues become increasingly prominent.This article briefly introduces the OTN concept and then describes the protectionand recovery techniques of network survivability from the perspective of the networktopology. Considering the development trend of electric power backbone transmissionnetwork, this paper research the survivability of large-capacity mesh network. Itfocuses on the pre-ring (P-cycle) protection algorithm. It introduces evaluation criteriaof the P-cycle algorithm and the two main problems those are finding cycles andcapacity assignment. Then this paper puts forward an algorithm which is improvedthe capacitated iterative design algorithm (CIDA). Taking into account that OTN mustcoexist with existing networks such as SDH initially, this article also presents P-cycledesign for mixed-line rate (MLR) optical networks.In this paper, it programs and simulates the improved algorithm and MLRP-cycle algorithm though MATLAB and contrasts with CIDA. We can draw aconclusion that these algorithms which can reduce the number of p-cycles andimprove resource utilization are better than the existing algorithms.