DESIGN CONTROL OF DC MICROGRID SYSTEM WITH STATE OF CHARGE BATTERY RESTRICTIONS

• Main Author: WILHAM MAULANA - NIM. 23814003, DWINDRA
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/26785
• Institution: Institut Teknologi Bandung

<p align="justify">In this paper, we developed simulation of dc microgrid using Finite State automata and fuzzy (FSA-Fuzzy) control for battery restriction and power sharing management. DC microgrid consists of photovoltaic as primary energy source assisted by the battery system and DC source system (grid tied). The power generated by PV will be maximally utilized by the load. If the power of PV is overloaded, then it will be used to charge the battery. While, if the power of PV is shortage, then the battery and utility will help fulfill the power demand. In FSA-Fuzzy scheme, battery is the first priority in helping with power shortages before dc source system. The dc microgrid model is built based on data from the Renewable Energy Hybrid Scheme (SHET) at the Energy Management Laboratory of engineering physics of Institut Teknologi Bandung under several conditions. The result of FSA-Fuzzy control is able to maintain performance of battery State of Charge (SOC) between 40% to 80% with the smaller power profile when SOC battery approaching the constraint. FSA-Fuzzy control can also reduce 51.1% and 58.2% cycle use compare with conventional method. While on the grid voltage stabilized was done by Proportional integrative derivative (PID) which is the performance of charging battery is criticallydamped equal to 0.15 second, and performance of disharging battery is criticallydamped equal to 0.02 second.<p align="justify">