Analytical Reliability Evaluation for Distribution Networks Considering the Effects of Cyber Failures

Abstract

- During the reliability assessment of active distribution networks, traditional simulation methods encounter numerous challenges, including extensive computational requirements, time-consuming progresses, limited accuracy, and inadequate consideration of cyber failures. Addressing these limitations, this paper introduces an analytical approach tailored for the reliability assessment of distribution network Cyber-Physical Systems, which specifically incorporates the influence of cyber failures. Firstly, the analytical method is employed to model the effectiveness of information systems and the switching efficiency of information coupling. These models aim to enhance computational speed and efficiency, thereby addressing the issues of high computational efforts and time-consuming processes associated with traditional methods. Secondly, in collaboration with a mixed-integer linear programming model, updated formulas are derived for assessing distribution network fault rates and fault repair times, taking into account cyber failures. This integration enables a more comprehensive reliability assessment that incorporates both the physical and cyber components of the system. Finally, numerical results obtained from modified IEEE 33-node and 7-node systems demonstrate the efficiency and applicability of the proposed method. Not only does this approach provide insights into the impact of cyber failures on distribution network reliability, but it also offers valuable technical support for the integration of information systems in smart grids.