With the introduction of smart energy grids and extensive penetration of renewable energy sources in distribution networks, micro-grids (MG), which are comprised of various alternative energy sources and advanced metering infrastructures (AMI) for better implementation of demand response, are effectively employed. The design and development of smart energy management systems (SEMS) for micro-grids are interesting and attractive research problems. In this paper a new SEMS architecture is presented to solve the multi-objective operation management and scheduling problem in a typical micro-grid while considering different energy resource technologies, Plug-in Hybrid Electric Vehicles (PHEVs) and Demand Response (DR) programs. The energy management problem is formulated as a constrained mixed integer nonlinear multi-objective optimization problem, in which the micro-grid’s total operating cost and net emissions must be minimized simultaneously. Three different optimization algorithms are used to solve the above mentioned problem and their outputs (Pareto optimal solutions) for the same problem are compared and analyzed.
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