GridLAB-D: An agent-based simulation framework for smart grids

TL;DR

GridLAB-D is an agent-based simulation framework designed to model complex smart grid systems, integrating power, market, and building technologies for comprehensive analysis and planning.

Contribution

The paper introduces GridLAB-D, a novel agent-based simulation tool specifically developed for modeling the multifaceted components of modern smart grids.

Findings

Effective simulation of smart grid components demonstrated

Applications in power system studies and market design validated

Integration of renewable energy sources successfully modeled

Abstract

Simulation of smart grid technologies requires a fundamentally new approach to integrated modeling of power systems, energy markets, building technologies and the plethora of other resources and assets that are becoming part of modern electricity production, delivery and consumption systems. As a result, the US Department of Energy's Office of Electricity commissioned the development of a new type of power system simulation tool called GridLAB-D(TM) that uses an agent-based approach to simulating smart grids. This paper presents the numerical methods and approach to time-series simulation used by GridLAB-D and reviews applications in power system studies, market design, building control system design, and integration of wind power in a smart grid.