Modeling And Analysis Of Complex Power System Based On Network Science

As one of the most important infrastructures in society,power system affects every aspects of people’s life.With the development of technology,power system has greatly changed,and its complexity of power system is gradually increasing.Power system has its own dynamic characteristics,and it is easy to cause large-scale blackout after initial failures.Many blackouts in history have exposed the vulnerability of power system itself.However,the complexity of power system makes the analysis and evaluation of power system still quite challenging,and the research in this area needs to have a deeper understanding.Based on the existing problems in current research,this paper studies the power system from different perspectives.Our research includes modeling power system,analysing its dynamic characteristics as well as the influence of network coupling,and optimizing its coupling pattern for a more robust system.We hope for a deeper understanding of the robustness of complex systems,and to make some suggestions on the prevention and control of actual system risks.In view of the complexity of power system in real life,this paper makes an in-depth study and discussion.Specifically,our main work and contribution of this paper are as follows:(1)In the study of power system stochastic factors,we evaluate the robustness of power grid more realistically based on the traditional cascading failure model and component failure probability.We find its sensitivity to the selection of parameters in our stochastic model.In a system with many nodes and complex dynamic process,the influence of stochastic factor will be magnified in specific scenarios,which should be considered.(2)Smart grids are the result of an information society.We study smart grids which are coupled by power grids and communication networks.First,we propose a new model.This model considers the effect of congestion when nodes in communication network are over-loaded,as well as the asymmetric interdependency between the two networks.On this foundation,we analyse the robustness of smart grid.Results show that coupling with communication network helps to build a more robust power system.Moreover,due to the asymmetry between the two networks,the influence of parameters on robustness is quite different.This work help us understand the real world information physical system mechanism and build a more robust system,and provides a thorough grounding for future research.(3)The influence of coupling configuration in cyber-physical system is further discussed.We use simulated annealing algorithm to optimize the coupling pattern,and compare our results with other classical coupling patterns.The results show that this algorithm effectively reduces the performance loss of the system.From these results,we can also find two opposite effects of coupling: coupling improves the ability of physical part to handle loads,but also provides a path for failure propagation from one network to the other.