Agent-based community coordination of local energy distribution

摘要: The diminishing availability of fossil fuels will necessitate a shift toward renewable energy resources to supply vital electrical needs in the future. Two abundant sources, solar and wind, are increasingly cost-competitive also offer potential decentralized, hence more robust, sourcing. However, intermittent nature wind power can present difficulties connection with integrating them into main electric grid. In this paper, we an agent-based architecture for coordinating locally connected micro-grids, thereby supporting cost-effective integration These interconnected sources storage devices, employ agents so that each micro-grid choose save or resell its stored open market order optimize utility costs. We show via simulation experiments how agent society operates adapts under varying conditions demand patterns. Such system provides not only financial advantages but local autonomy robust distribution. addition, these facilitate reduction carbon emission. connection, compare five different trading strategies. Thus, experimental design evaluation motivated by policy modeling perspective whereby community (i.e., strategy) is computed based on two attributes, gain emissions. Further, means "what-if" analysis, policies potentially be employed compared against one another. Also, implications discussed.