Modeling Smart Grid using Generalized Stochastic Petri Net

TL;DR

This paper proposes a comprehensive model of smart grid using Generalized Stochastic Petri Nets to analyze constraints and optimize infrastructure investment for future power systems.

Contribution

It introduces a novel GSPN-based modeling approach for smart grids, enabling detailed analysis of system constraints and planning.

Findings

Model effectively captures smart grid dynamics.

Provides insights into system constraints and priorities.

Supports resource optimization and planning.

Abstract

Building smart grid for power system is a major challenge for safe, automated and energy efficient usage of electricity. The full implementation of the smart grid will evolve over time. However, before a new set of infrastructures are invested to build the smart grid, proper modeling and analysis is needed to avoid wastage of resources. Modeling also helps to identify and prioritize appropriate systems parameters. In this paper, an all comprehensive model of smart grid have been proposed using Generalized Stochastic Petri Nets (GSPN). The model is used to analyze the constraints and deliverables of the smart power grid of future.