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• W2409250378 abstract "Fulfilling the energy demand is an important issue in the power system. As conventional fossil fuels based energy resources are limited on the earth and expected to be depleted in few decades. Microgrid with battery energy storage is commonly employed nowadays to full-fill the demand. For better performance of microgrid, optimal energy management is essential. Therefore, the optimal utilization of renewable energy resources (RES) is emphasized in this paper. Three different cases, i.e., without battery, with battery, and considering battery with its life cost are simulated and analyzed. By the results obtained, it is deduced that use of the battery is successful to incorporate extra power demand at a cost of very less profit reduction, i.e., due to the use of batteries. Various heuristic techniques, i.e. Particle Swarm Optimization (PSO), Firefly Algorithm (FA), and Artificial Bee Colony (ABC) are applied to establish the optimal operation of the wind, hydro and battery-based microgrid. A comparative study of these heuristic techniques shows that ABC provides promising results." @default.
• W2409250378 created "2016-06-24" @default.
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• W2409250378 date "2016-03-01" @default.
• W2409250378 modified "2023-09-26" @default.
• W2409250378 title "Demand side energy management in hybrid microgrid system using heuristic techniques" @default.
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• W2409250378 doi "https://doi.org/10.1109/icit.2016.7475058" @default.
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