Kusmayanto Hadi Wibowo, Aripriharta, Irham Fadlika, Gwo Jiun Horng, Slamet Wibawanto, Fitrah Wicaksono Yunianto Saputra
This paper presents a new maximum power point tracking algorithm (MPPT) which developed by using Queen Honey Bee Migration (QHBM) [11]. The proposed QHBM based MPPT uses Queen for making a decision in searching MPPT on the stand-alone PV panel. The Queen migrates from initial voltage to the voltage at MPP and finally stopped her journey and build a hive. The simulation results show that QHBM could surpass P and O, PSO and Fuzzy in term of computation speed, robustness, and error margin to the MPP. Moreover, our QHBM based MPPT could perform better respond to the irradiation change compare to its competitors. © 2019 IEEE.
Department of Electrical Engineering, Universitas Negeri Malang, Malang, Indonesia; Department of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan, Taiwan; Department of Electrical Engineering, Centre of Advanced Material of Renewable Energy, Universitas Negeri Malang, Malang, Indonesia
