Using Multi-Agent Systems for Hardware Upgrade Advice in Smart Grid Simulations
The environmental impact of the petroleum-based infrastructure has led to renewed interest in electrical transport infrastructures during the past few decades. However, the impact of plug-in hybrid electric vehicles (PHEV) on electrical distribution and generation systems is not yet fully understood. This poses challenges to distribution and generation companies on how to retool their distribution and generation systems to meet and supply increased future demand. Furthermore, having unpredictable and uncontrollable generation patterns of renewable energy sources in the grid makes it even harder to manage supply and demand in the grid. The ultimate goal is to provide a tool for engineers to further understand and evaluate potential grid infrastructures under different operating conditions. With this simulator, the grid can be evaluated with different hardware and operating conditions to maximize resources. As such, utilities and generation companies can evaluate and test different strategies to upgrade the infrastructure to improve reliability and generation capacity to effectively meet demand.
KeywordsArtificial intelligence Energy conservation Multi-agent system Plug-in hybrid electric vehicle Renewable energy Simulation Smart grid
The authors acknowledge the contributions of the National Sciences and Engineering Research Council (NSERC).
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