General Stochastic Petri Net approach for the estimation of power system restoration duration

Abstract

Blackouts rarely occur in power systems; nevertheless, in case of occurrence, its impact on the economy, industry, and social life can be noticeable. To minimize the negative financial and social impacts of blackouts, power systems should be restored in the shortest possible time. Therefore, system operators should access a formulated method to estimate the restoration duration. In this paper, a method based on the Petri Net is used to calculate the restoration duration.Therefore, a restoration plan is resolved into its constituent steps, and for each step, a stochastic duration is considered. Applying the Petri Net model of the restoration plan and the duration of each restoration step, the total restoration time can be calculated. The proposed method is applied in two system tests, and the results show consistency with those of the critical path method.

A New Modular Petri Net for Modeling Large Discrete-Event Systems: A Proposal Based on the Literature Study

“…GPenSIM can be downloaded from the website [44]. Even though GPenSIM is a new simulator, it is being used by some universities around the world [45][46][47][48][49][50][51]. With the facilities for developing modular Petri net models, it has now become possible to use GPenSIM to model and analyze real-life industrial systems.…”

Finding Clusters in Petri Nets. An approach based on GPenSIM

“…In this paper, the software General-purpose Petri Net Simulator (GPenSIM) (Davidrajuh, 2018;Davidrajuh et al, 2018b) is used for both static and dynamic analysis of discrete-event systems (e.g., manufacturing networks); GPenSIM is developed by the first author of this paper. GPenSIM is used in the literature for dynamic analysis of a variety of discreteevent systems (Abbaszadeh et al, 2018;Cameron et al, 2015;Jyothi, 2012;Mutarraf et al, 2018). This paper is the first attempt to perform static cluster analysis with GPenSIM.…”

“…GPenSIM is already being used by some universities around the world, e.g., in Australia, China, Korea, and the USA. The reasons being the simplicity of learning and using, and its flexibility to incorporate newer functionality (Davidrajuh, 2018;Davidrajuh et al, 2018b;Abbaszadeh et al, 2018;Cameron et al, 2015;Jyothi, 2012;Mutarraf et al, 2018).…”

Restoration duration estimation applying generally distributed transition stochastic Petri nets considering the switching failure of breakers

“…Accordingly, the articles, which their subject is specifically about restoration duration, are discussed here. The restoration duration problem in transmission systems is directly addressed in [20][21][22][23][24].…”