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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Main Author: | Adiputra Pratomo I, Daffa |
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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 |
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