Modeling and Simulation of MPPT SEPIC - BUCK Converter Series Using Flower Pollination Algorithm (FPA) - PI Controller in DC Microgrid Isolated System

Murdianto, Farid Dwi; Nansur, Ainur Rofiq; Hermawan, Alfis Syah Laili; Purwanto, Era; Jaya, Arman; Rifadil, Mochammad Machmud

doi:10.1109/ieecon.2018.8712290

Cited by 18 publications

(3 citation statements)

References 24 publications

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“…The results conclude that the IFPA can produce higher quality solutions with superior convergence characteristics on all cases [111]. The papers [81], [80], [111], [114] provide sufficient evidence which concludes that the use of FPAs strong search capabilities through global and local pollination techniques makes it a viable solution to solving the hydrothermal scheduling problem.…”

Section: B Scheduling Of Hydrothermal Stationsmentioning

confidence: 87%

“…The test results presented in [81], and [80], demonstrated FPA's superior search capabilities and potential to obtain global solutions in less settling time than traditional approaches (GA, PSO, BFA). Sutradhar et al [114] tested the validity of the MFPA to solve the Hydrothermal Scheduling problem. The literature [114] conducted the simulation on a test system in [120].…”

Section: B Scheduling Of Hydrothermal Stationsmentioning

confidence: 99%

“…Sutradhar et al [114] tested the validity of the MFPA to solve the Hydrothermal Scheduling problem. The literature [114] conducted the simulation on a test system in [120]. MFPA was compared to various algorithms (FPA, P-DE), and outperformed the above-mentioned algorithms significantly in terms of convergence time and accuracy.…”

Section: B Scheduling Of Hydrothermal Stationsmentioning

confidence: 99%

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