Optimal Planning and Operational Scheduling of Micro Energy Grids

Abstract

This paper presents an optimal planning procedure and operational scheduling of micro energy grids (MEGs). The optimization objectives are to minimize cost, carbon dioxide emissions, and energy deficiency. The energy sources and conversion technologies included in this study are renewable based sources (wind and photovoltaic), furnace, electrical heater, main power grid, and local power station... Two proposed control levels are applied to control the operation of the MEG. The supervisor control level selects the energy supplier based on price and/or availability. The inner control level dynamically matches the demand profile with the supply profile. Two scenarios are simulated zero interest rates and 4% interest rates. The results showed significant share from renewable sources