Research On Key Problems Of Power Grid With The Complex Network Theory

With the development of complex network research, the development and application of complex network theory in various fields is becoming more and more attention by domestic and foreign researchers.The application of complex network theory in power system was mainly studied in this paper, including the following aspects: Based on the understanding of the statistical properties and the topological properties, on the basis of complex network theory to simplify the modeling. Count the structure characteristic parameters in the network. Describing the basic parameters of the probability distribution of the nodes in the grid to analyze complex features of the actual Power grid. To explore mechanism of blackout accident chain, as a case study of dynamic model sand, using the self-organized criticality theory to explain the reason and developing process of the accident. Respectively by two small-world and scale-free network model to simulate the actual power grid topology. With the method of attacking nodes, find out the weak links of the network, to focus on implementation of the protection of key elements in power network. These measures can effectively reduce the risk of accidents, reduce the failure consequences.In the control aspect, using the theory of complex network pinning control strategy.On the basis of the 5 node Lorenz chaotic system as an example, according to Lyapunov stability theory to design the controller, restrain node and achieve chaotic synchronization.Combined with the basic characteristics of complex networks and power flow calculation, the node importance based on the mathematical expectation of shortest path was calculated. Furthermore, the key nodes of generator in the electric power network was discovered. The paper adopted a approach which was based on weighted node importance to achieve the rotational speed of the generator in the power grid, the method was according to synchronization control strategy to control the weighted network that using pinning control scheme and adoptive laws. The results are given to show the control efficiency and adjustable of the proposed method in Matlab/Simulink.