Résumé

Solar production is becoming a growing source of new energy worldwide. More and more consumers and companies are interested in investing in photovoltaic (PV) panels and battery storage for different reasons: ecologic interest in green and renewable energy, economic interest in energy trading. This paper presents simulation results between neighbor customers (agent nodes in a Microgrid) trading their solar photovoltaic production overhead. The simulation is run with AnyLogic. Different scenarios with different types of nodes have been implemented such as: agents using storage (battery) versus agent without storage, agents with different trading motivations (green agents versus greedy agents. Also, each scenario is played at different seasons of the year taking into account the different sunshine levels. A “lightweight” blockchain has been implemented and added to the simulation tool to handle the transactions of surplus energy among customers in each Microgrid: 100 nodes split in 16 Microgrids according to the neighborhood are running so far. Different statistics have been collected and averaged per year such as the average energy savings per year and the average customer benefits per year. The simulation is currently tuned with real consumption and production data produced by the SIG (Services Industriels de Genève) in order to incorporate it to the existing SIG smart meters and discover the price interval at which trading customers can achieve benefits while maintaining the SIG infrastructure cost-effective.

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