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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics Indonesian Journal of Electrical Engineering and Computer Science Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Andalasian International Journal of Applied Science, Engineering, and Technology Andalas Journal of Electrical and Electronic Engineering Technology Jurnal Andalas: Rekayasa dan Penerapan Teknologi ASEAN Marketing Journal Jurnal INFOTEL Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Refdinal Nazir
Universitas Andalas
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Enhanced incremental conductance MPPT method for maximizing photovoltaic power generation Asnil, Asnil; Nazir, Refdinal; Krismadinata, Krismadinata; Nasir, Muhammad
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i4.pp2757-2767

Abstract

This research proposes an enhanced maximum power point tracking (MPPT) algorithm that integrates the variable step size (VSS) method to significantly improve power extraction from photovoltaic (PV) systems. The primary objective is to optimize performance under dynamic environmental conditions. Through comprehensive experimental studies, the proposed algorithm’s performance was evaluated and directly compared against conventional incremental conductance (INC) and perturb and observe (P&O) algorithms. The results demonstrate a substantial increase in power generation, with the proposed algorithm delivering 18.79% more power compared to INC and 39.67% more power than P&O. These findings underscore the efficacy of the developed algorithm at improving the efficiency and robustness of PV power generation, particularly in variable operating environments.
Co-Authors ,, Kamsory Adytia Putra, Ryan Ahmad Ahmad Alfitman Alfitman Alfitman Alfitman Amalia, Rizka Andi Pawawoi Andi Pawowoi Arief Rufiyanto Asnil Asnil Axel Doriza Dewi Purnama Sari Diana, Mery Eka Fitrianto Eka Fitrianto Eka Fitrianto Eka Fitrianto, Eka Elsi Alfionita Syawal Fajril Akbar Fitrianto, Eka Ghazali, Syafii Hamdi Reza Hasmat Malik Hidayat, Rahmat Kamsory , Kamsory Kamsory, Kamsory Kananda, Kiki Kiki Kananda Krismadinata Krismadinata, Krismadinata Kurniasih, Novi Melda Latif Melda Latif Mery Diana Mochammad Rismansyah Muhammad Hadi Putra, Muhammad Hadi Muhammad Imran Hamid Muhammad Nasir Muhammad Nurdin Muhammad Rahman Muharram, Igo Cikal Novi Kurniasih Pinto Anugrah Purnama Sari, Dewi Rahmat Hidayat Refki Budiman Reza, Hamdi Rika Ampuh Hadiguna Riska Amalia Rismansyah, Mochammad Rizka Amalia Rufiyanto, Arief Ryan Adytia Putra Saputra, Dendi Adi Syafii . Syafii Ghazali Vera Pujani Vera Pujani Wahyu Rizki Muslyadi Yazrina Yahya Yazrina Yahya Yudi Arfan Zuheldi Zuheldi Zuriman Anthony Zuriman Anthony