—Conventionally in Cyber CLOUD and/or Power Grid modeling and simulation; failure and repair rates of servers or generators and of transmission lines or links, as well as load (demand) on the system are collected as deterministic input constants from field studies. CLOURAM mimics a Cyber- or Power generation (links assumed 100% reliable) system, where digital event simulation (DES) is applied to draw failure and repair times and load for production units. Their assigned failure and repair rates and load cycle remain constant across the simulation runs. In this “Stochastic” modified version of CLOURAM through Stochastic Simulation of a Grid or a CLOUD, i.e. the failure and repair rates and the load are not any longer constants, but random deviates simulated from selected probability distributions. The CLOUD metrics with the proposed Stochastic Simulation approach are compared very favorably to those of previously non-Stochastic Simulation benchmark cases with deterministic rates and load cycle. Then one can study the producer and link simulations with various probability density functions to mimic the grid operation of Power and Cyber systems.
—Bayesian Gamma, uniform, DES, LOLP.
The authors are with the Informatics Institute, Cybersystems and Information Security, Auburn University Montgomery, Montgomery, AL, USA 36117 (e-mail: email@example.com, firstname.lastname@example.org).
Cite:Mehmet Sahinoglu and Preethi Vasudev, "Stochastic Simulation of Cyber CLOUD and Power Grid," International Journal of Computer Theory and Engineering vol. 9, no. 1, pp. 43-47, 2017.