Network Model And Structure Performance Analysis Of Power System Based On Complex Network Theory

The power system network consists of a mass of nodes and the connections between nodes are seriously complex, so it has the common characteristic of complex network. The network connections of local power systems increase the complexity of the power network. Due to the complex characteristic of the power system, more and more attention is paid to the complexity investigation of power system.In other fields, there are some static models in terms of respective filed characteristic. As a result, it is significantly important to simplify the power system network according to the power system characteristic and set up an available power system complex network model by introducing some physical parameters with power system characteristic. In particular, this paper investigates the inherent characteristic of power system and improves the complex network model of power system. Furthermore, the modeling method with power system inherent characteristic is proposed and the weighted model to complex network of power system is presented. At the same time, the relevant statistical characteristic indices are addressed. The research on the characteristic of power system complex network is based on the above model.Firstly, the paper introduces the fundamental principle of complex network. Some fundamental complex network models and topologies are described. And then, the research background on power system complex network is presented and state of art in the research on complex network model is indicated.Secondly, the fundamental model of power system complex network is modified from two parts and the special characteristic different with other complex network is described in detail. The modified model is achieved by the following method. The distance definition of complex network is modified when the corresponding model is constructed. The non-weighted network model of power system complex network is established by modifying the corresponding statistical characteristic index. And then, based on the non-weighted network model, a new weighted method of power system complex network different with fundamental weighted method is proposed and the weighted model of power system complex network is provided, as well as the corresponding statistical characteristic index of the weighted network can be obtained. Furthermore, many IEEE models for power system are applied for the research on power system complex network characteristic. The relationship between statistical characteristic indices of power system complex network on several models achieved by detailed calculation is analyzed. The small world model and scale-free characteristic of complex network are also concerned at the same time.Thirdly, the paper proposes a network connection performance index which is a special index for power system complex network. And then, the special index is applied to identify the key node and line in power system in this paper. In addition, the IEEE 57 nodes example is used to carry out the simulation to verify the viability and efficacy of the new identification method by comparing with the results from different identification methods Fourthly, the current dynamics evolutionary models for power system are introduced.In terms of the weighted model of power system complex network, the elimination dynamics evolutionary model for power system is addressed by applying the method of establishing model. Accordingly, the potential processes on the evolutionary are described in detail. In the following research, the risk theory is introduced and combined with the elimination dynamics evolutionary model for power system to use for the comprehensive assessment of power system safety. As a result, the risk index is advanced. In the same way, the IEEE 57 nodes example is used to achieve the simulation to verify the effectiveness of the risk index.Finally, the achieved research is concluded and Future Perspective on development of power system complex network is highlighted.