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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Frontier Energy System and Power Engineering
MUHAMMAD CAHYO BAGASKORO
Universitas Negeri Malang
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Smart Low Head Picohydro System with QHBM Optimization for Rural Electrification and Innovation ARIPRIHARTA ARIPRIHARTA; MOKH. SHLIHUL HADI; NANDANG MUFTI; SATIA NUR MAHARANI; MUHAMMAD CAHYO BAGASKORO; SASMITA BAGUS SANG KESUMA ANANTA; PRIA EKA RESWANA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 4: Published November 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i4.425

Abstract

This study develops a low-head smart picohydro system for rural electrification optimized using the Queen Honey Bee Migration (QHBM) algorithm. The system includes a propeller turbine, axial generator, charge controller, inverter, and battery. QHBM optimizes flow rate, head, system efficiency, output power, and energy cost to achieve the best technical and economic performance. For comparison, Particle Swarm Optimization (PSO) is used, known for its fast convergence but prone to local optima. Results show that at a 0.65 m head, QHBM produces 546.68 W, higher than PSO (546.48 W) and manual calculation (530 W), with 50% faster convergence. The proposed system supports sustainable and affordable energy access for off-grid communities and offers potential for renewable energy startup innovation.
The Enhanced Self-Lift Luo Converter with Qhbm for Maximum Power Extraction on PV Charging Station Aripriharta Aripriharta; Fiqi Ardian Pratama Sudarto; Irham Fadlika; Sujito Sujito; Muhammad Cahyo Bagaskoro; Saodah Omar; Norsanah Binti Rosmin
Frontier Energy System and Power Engineering Vol 5, No 2 (2023): July
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um049v5i2p65-80

Abstract

This journal presents the development of an innovative algorithm for Maximum Power Point Tracking (MPPT) utilizing the Enhanced Self Lift Luo Converter (ESLLC) developed through Queen Honey Bee Migration (QHBM). The QHBM used for MPPT employs a queen-based decision-making approach to determine the optimal point on solar panels. The queen continuously searches for the Maximum Power Point (MPP), and upon locating it, ceases tracking and starts building a nest. Once the nest is established, the queen resumes the search for MPP. The testing simulation evaluates computing speed, durability, and MPP's margin errors. MATLAB/Simulink is employed for verification. The simulation results demonstrate that the QHBM surpasses other algorithms like PSO, P&O, and FLC in terms of computing speed, durability, and MPP margin errors. The QHBM-based MPPT exhibits superior responsiveness to changes in irradiation and temperature compared to alternative algorithms. This proposed algorithm effectively adapts to varying environmental conditions that influence irradiation and temperature changes. Consequently, the suggested algorithm holds significant promise for practical implementation in dynamic environmental settings.
Co-Authors Aripriharta - Fiqi Ardian Pratama Sudarto Irham Fadlika MOKH. SHLIHUL HADI Nandang Mufti Norsanah Binti Rosmin PRIA EKA RESWANA Saodah Omar SASMITA BAGUS SANG KESUMA ANANTA Satia Nur Maharani