The significance of wind and solar energy as renewable sources for electric power generation has been rapidly increasing. The current project presents a model subsystem that integrates wind and solar energy sources to power a Direct Current (DC) microgrid, along with a backup Battery Energy Storage System (BESS) and a supercapacitor. The microgrid is used for the charging of electric vehicles locally, to supply power to the main grid, and to meet other local demands. The model compares the effectiveness of two control methods: Fuzzy Logic Control (FLC) and Proportional plus Integral control (PI). Simulation results show that the FLC is more efficient in regulating the grid power and DC bus voltage, and at the same time, it is simpler to implement, as compared to the PI controller.
|Commitee:||Khoo, I-Hung, Yeh, Hen-Geul|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 56/03M(E), Masters Abstracts International|
|Subjects:||Alternative Energy, Electrical engineering, Energy, Artificial intelligence|
|Keywords:||Solar power, Wind power|
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