INCREASING SMART MICROGRID RENEWABLE FRACTION BY CONTROLLING THE CHARGING-DISCHARGING OF THE BATTERY ENERGY STORAGE SYSTEM (BESS) USING A DEEP Q-LEARNING ALGORITHM

sources (RES), development of microgrids (MGs) is the most probable answer to the rising electrical energy demands, along with the depletion of fossil fuel. Although so, the intermittent nature of RES becomes a problem to MGs, as power intermittency decreases the power quality produced by the MG. Th...

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Bibliographic Details
Main Author: Adiputra Pratomo I, Daffa
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/68150
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Institution: Institut Teknologi Bandung
Language: Indonesia