Systemic approach for modeling a generic smart grid
This addresses the challenge of simulating smart grids for researchers and engineers, though it appears incremental as it builds on existing systemic approaches.
The paper tackles the complex interdisciplinary modeling problem of smart grids by developing a backbone model that simulates disparate systems to test alternative scenarios. The approach uses distributed optimization of subsystems to achieve production and consumption scheduling while maintaining flexibility and scalability.
Smart grid technological advances present a recent class of complex interdisciplinary modeling and increasingly difficult simulation problems to solve using traditional computational methods. To simulate a smart grid requires a systemic approach to integrated modeling of power systems, energy markets, demand-side management, and much other resources and assets that are becoming part of the current paradigm of the power grid. This paper presents a backbone model of a smart grid to test alternative scenarios for the grid. This tool simulates disparate systems to validate assumptions before the human scale model. Thanks to a distributed optimization of subsystems, the production and consumption scheduling is achieved while maintaining flexibility and scalability.