Dissertation/Thesis Abstract

Integration of Wind Energy and Solar Energy in a DC Microgrid Using Fuzzy Logic Control
by Jajula, Harshavardhan, M.S., California State University, Long Beach, 2017, 35; 10262314
Abstract (Summary)

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.

Indexing (document details)
Advisor: Chassiakos, Anastasios
Commitee: Khoo, I-Hung, Yeh, Hen-Geul
School: California State University, Long Beach
Department: Electrical Engineering
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
Publication Number: 10262314
ISBN: 978-1-369-69851-0
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