A multi-agent simulation framework for distributed generation with battery storage

Distributed Generation (DG) is a sustainable alternative energy paradigm that allows flexible customer-participated demand response management, high penetration of renewable sources and reduction of greenhouse gas emission. This paper proposes a multi-agent simulation framework that captures emerging complex responses that originate from individual household behaviors. These behaviors have been unattainable with traditional top-down simulation frameworks. The simulation results demonstrate a suboptimal policy choice may lead to unwanted energy profile responses on the distribution network.