Load-frequency control in an islanded microgrid PV/WT/FC/ESS using an optimal self-tuning fractional-order fuzzy controller

• Published in: Environmental science and pollution research international Vol. 30; no. 28; pp. 71677 - 71688
• Main Authors: Naderipour, Amirreza, Abdul-Malek, Zulkurnain, Davoodkhani, Iraj Faraji, Kamyab, Hesam, Ali, Roshafima Rasit
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023; Springer Nature B.V
• Subjects: Algorithms; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Circular Economy for Global Water Security; Computer Simulation; Controllers; Diesel fuels; Diesel generators; Distributed generation; Earth and Environmental Science; Ecotoxicology; Electrical loads; energy; Energy storage; Environment; Environmental Chemistry; Environmental Health; Environmental science; Flexible structures; Frequency control; Frequency deviation; Fuel cells; Fuzzy control; Fuzzy Logic; generators (equipment); Heuristic methods; Load fluctuation; Optimization; Parameter uncertainty; Photovoltaic cells; Photovoltaics; Proportional integral derivative; Renewable resources; Robust control; Self tuning; Storage systems; Sustainable yield; Turbines; uncertainty; Waste Water Technology; Water Management; Water Pollution Control; whales; Wind power; Wind turbines; Renewable energy sources; Whale optimization algorithm; Microgrid; Load-frequency control; Fractional-order controller; Self-tuning fuzzy control
• ISSN: 1614-7499; 0944-1344; 1614-7499
• DOI: 10.1007/s11356-021-14799-1

Due to the increased complexity and nonlinear nature of microgrid systems such as photovoltaic, wind-turbine fuel cell, and energy storage systems (PV/WT/FC/ESSs), load-frequency control has been a challenge. This paper employs a self-tuning controller based on the fuzzy logic to overcome parameter...