Robustness evaluation of complex power grids containing renewable energy

Abstract

With the increasing penetration rate of renewable energy such as solar and wind power, the intermittency and uncertainty of the complex power grids put forward higher requirements for the stable operation of power system. It is particularly significant to evaluate the robustness of complex power systems with a high proportion of renewable energy. Based on stochastic power flow and risk assessment, a network model of the power system's real-time operating status is established. From the aspects of local, global and operating parameters., three indicators of electrical degree centrality, electrical betweenness centrality and clustering coefficient are respectively proposed to identify vulnerable nodes of the power grid. The three indicators comprehensively established by the entropy and ideal solution method are used to form the comprehensive importance evaluation index of the node. In order to prove the effectiveness of the proposed index and model, a verification analysis was carried out by the improved IEEE118-bus system.