期刊
IEEE ACCESS
卷 9, 期 -, 页码 98948-98961出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3095973
关键词
Batteries; Energy management; Microgrids; Voltage control; State of charge; Fuzzy logic; Wind energy; Renewable energy; smart university; DC-microgrid; energy management control; fuzzy logic control; fractional order control
资金
- Research Groups Program through the Deanship of Scientific Research, Taif University, Ministry of Education, Saudi Arabia [1-440-6140]
With global environmental changes, nuclear power risks, and rising energy costs, there is a growing desire for more renewable energy in electricity generation. Smart places like smart cities and smart universities are becoming popular, but integrating smart grid systems presents challenges.
Global environmental changes, nuclear power risks, losses in the electricity grid, and rising energy costs are increasing the desire to rely on more renewable energy for electricity generation. Recently, most people prefer to live and work in smart places like smart cities and smart universities which integrating smart grid systems. The large part of these smart grid systems is based on hybrid energy sources which make the energy management a challenging task. Thus, the design of an intelligent energy management controller is required. The present paper proposes an intelligent energy management controller based on combined fuzzy logic and fractional-order proportional-integral-derivative (FO-PID) controller methods for a smart DC-microgrid. The hybrid energy sources integrated into the DC-microgrid are constituted by a battery bank, wind energy, and photovoltaic (PV) energy source. The source-side converters (SSCs) are controller by the new intelligent fractional order PID strategy to extract the maximum power from the renewable energy sources (wind and PV) and improve the power quality supplied to the DC-microgrid. To make the microgrid as cost-effective, the (wind and PV) energy sources are prioritized. The proposed controller ensures smooth output power and service continuity. Simulation results of the proposed control schema under Matlab/Simulink are presented and compared with the super twisting fractional-order controller.
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