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

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...

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Vydané v:Environmental science and pollution research international Ročník 30; číslo 28; s. 71677 - 71688
Hlavní autori: Naderipour, Amirreza, Abdul-Malek, Zulkurnain, Davoodkhani, Iraj Faraji, Kamyab, Hesam, Ali, Roshafima Rasit
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023
Springer Nature B.V
Predmet:
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
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Popis
Shrnutí: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 uncertainties of classic controllers, such as operation conditions, the change in the operating point of the microgrid, and the uncertainty of microgrid modeling. Furthermore, a combined fuzzy logic and fractional-order controller is used for load-frequency control of the off-grid microgrid with the influence of renewable resources because the latter controller benefits robust performance and enjoys a flexible structure. To reach a better operation for the proposed controller, a novel meta-heuristic whale algorithm has been used to optimally determine the input and output scale coefficients of the fuzzy controller and fractional orders of the fractional-order controller. The suggested approach is applied to a microgrid with a diesel generator, wind turbine, photovoltaic systems, and energy storage devices. The comparison made between the results of the proposed controller and those of the classic PID controller proves the superiority of the optimized fractional-order self-tuning fuzzy controller in terms of operation characteristics, response speed, and the reduction in frequency deviations against load variations. Graphical abstract
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ISSN:1614-7499
0944-1344
1614-7499
DOI:10.1007/s11356-021-14799-1