INCREASING SMART MICROGRID RENEWABLE FRACTION BY CONTROLLING THE CHARGING-DISCHARGING OF THE BATTERY ENERGY STORAGE SYSTEM (BESS) USING A DEEP Q-LEARNING ALGORITHM
As a smart electrical energy entity that permits integration of renewable energy 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...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/68149 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |