PROJECT TITLE :
Distributed Real-Time Electricity Allocation Mechanism for Large Residential Microgrid
To reduce greenhouse gas emissions, several incentives are given to use renewable energy sources (RES) and plug-in electrical vehicles (PEVs). By using PEVs for electricity storage and RES as distributed generators, microgrids (MG) become more reliable, stable, and value-effective. However, the high intermittent nature of energy sources and unpredictable presence of PEV within the MG offers new technological challenges to the sensible grid/MG energy management system (EMS). During this paper, we have a tendency to propose a brand new distributed real-time electricity allocation (DRTA) scheme for the good grid/MG EMS whose objectives are to scale back the electricity bill of the residential customers, to extend the overall social benefit of good MG/grid community, and to increase the energy efficiency and reliability of the MG to rely on regionally generated electricity. We formulate the matter as a noncooperative game using mechanism design and solve it to optimality. The proposed DRTA scheme converges to an optimal Nash equilibrium and produces a close to-optimal solution. We compare the proposed scheme with a centralized optimal electricity consumption scheme and to the solution obtained from unregulated (natural) scheduling framework.
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