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Vol. 10, No. 4, November 2025 (Article in Progress)

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Multiobjective MPPT Optimisation for PV System Using QHBM Algorithm in Madura Island

https://doi.org/10.22219/kinetik.v10i4.2337
Agil Zaidan Nugraha
Universitas Negeri Malang
Aripriharta
Universitas Negeri Malang
Anik Nur Handayani
Universitas Negeri Malang

Corresponding Author(s) : Aripriharta

aripriharta.ft@um.ac.id

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 10, No. 4, November 2025 (Article in Progress)

Abstract

This study proposes the Queen Honey Bee migration algorithm (QHBM) as a multiobjective optimisation technique for Maximum Power Point Monitoring (MPPT) of photovoltaic (PV) systems. This study was conducted on Madura Island, Indonesia, which has a high probability of being exposed to radiation. The research objective is to improve the power efficiency and stability of the photovoltaic system under various conditions. This method optimises power conversion efficiency and improves the quality of system performance. This is different from conventional MPPT methods that only prioritise output power. The QHBM algorithm was tested for 30 days with real irradiation data. The photovoltaic system consists of a 2 series × 3 parallel configuration solar panel array combined with a 2200 Hz frequency DC-DC boost converter. The results show stable convergence for 50 iterations, and the ideal duty cycle is about 0.8949. The total energy of 448,256.01 Wh was generated every day with an average of 14,941.87 Wh. In addition, QHBM has the ability to reduce electrical interference, reduce component load, and ensure the system runs consistently. The visualisation of particle distribution shows that the solution space search and convergence to the global best point are successful. Therefore, QHBM is considered a reliable and dependable MPPT strategy, especially for photovoltaic systems located in remote areas or islands. This research concludes that QHBM is able to improve the reliability and efficiency of PV systems, as well as support the development of renewable energy for distributed and off-grid applications.

Keywords

Madura MPPT PV system Optimisation QHBM Algorithm
Nugraha, A. Z. ., Aripriharta, & Handayani, A. N. . (2025). Multiobjective MPPT Optimisation for PV System Using QHBM Algorithm in Madura Island. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 10(4). https://doi.org/10.22219/kinetik.v10i4.2337
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