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Journal : Mechatronics, Electrical Power, and Vehicular Technology

Photovoltaic energy harvesting booster under partially shaded conditions using MPPT based sand cat swarm optimizer Abdilla, Moch Rafi Damas; Windarko, Novie Ayub; Sumantri, Bambang
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.857

Abstract

Photovoltaic (PV) systems perform a vital role in addressing the worldwide energy crisis and fulfilling the escalating energy demand. The variability in irradiance, temperature, and unpredictable weather conditions possess a direct impact on the productivity of PV systems. Furthermore, the existence of partially shaded conditions intensifies the complexity of PV systems, resulting in significant power degradation. These conditions present significant challenges for PV systems to achieve maximum power output and produce optimal energy. To address the prevailing challenges, this study introduces a maximum power point tracking (MPPT) control methodology utilizing a sand cat swarm optimizer (SCSO). This ingenious strategy adapts the sand cat hunting style. The investigation centers on optimizing energy harvesting in PV systems, with a specific emphasis on enhancing precision, rapid convergence, and minimizing oscillations. The suggested SCSO performance is evaluated under a variety of weather situations, including both instances of partially shaded and uniform irradiance. The SCSO results are juxtaposed with other existing bio-inspired algorithms, such as grey wolf optimization (GWO), particle swarm optimization (PSO), and tunicate swarm algorithm (TSA). The proposed SCSO technique achieves 99.94 % tracking accuracy on average and shows superior performance, with faster tracking response and less power oscillation. Moreover, the proposed SCSO generates significantly more energy than the rest compared algorithms. The performance of the suggested method is further validated through a hardware-based experimental assessment, demonstrating an optimal level of tracking performance.
Co-Authors . Sriyoto, . Abdilla, Moch Rafi Damas Abdillah Aziz Muntashir Abdurrahman, Rizqy Achmad Afandi, Achmad Afiffah, Shofaul Agus Purwoko Ahdiati, Laila Alfayanti Alfayanti, Alfayanti Almunawar, Anggel Amrullah, Haniifan Patra Anastasia Surbakti, Anastasia angga wahyu aditya Anggraini, Zulfa Galuh Anna Suwarni, Anna APRIYANTO, RADEN AKBAR NUR Basuki Sigit Priyono BASUKI, GAMAR Bian Suwarli, Bian Bima Sena Bayu Dewantara Br Ginting, Luci Riani Budi Ansori, Budi Cahyati, Ainun Damayanti, Destin Dedid Cahya Happyanto Edi Paris, Edi Ellys Yuliarti, Ellys Emlan Fauzi, Emlan Era Purwanto Fakhruddin, Hanif Hasyier Fauzi, Moh. Hilal Felix Kasim Felycia Tiera Kencana, Felycia Tiera Ferdiansyah, Indra Hanita, Erma Harry Tsaputra, Harry Hasanah, Nursyara Hidayatullah, Samudra Syarif Wahyu Husien.R, Alwi Azis Indra Cahyadinata, Indra Indriani, Desy Ira Primalasari Irnad, Irnad Ismail, Ahmad Yusuf Kartini . Ketut Sukiyono Kiasati, Kanaya Zharfa Krisdianilo, Visensius Kurnia, Anggia M. Mustopa Romdhon, M. Mustopa Maemunah Maemunah Manalu, Arta Santrina MARTINI, NI PUTU DEVIRA AYU Meiliza Cecilia, Meiliza Mentari Putri Jati MOCHAMAD ARI BAGUS NUGROHO Naisyah, Tiara Ni Luh Putu Hariastuti Nola Windirah Novie Ayub Windarko Nusril Nusril Nyayu Neti Arianti, Nyayu Neti Prawito, Priyono Pujiati, Herni Putri Suci Asriani Putri, Marthalinda Dwi R. Oktav Yama Hendra Raden Mohamad Herdian Bhakti Redy Badrudin Reswita, reswita wita Salsabila, Regina SAPUTRI, ANGGUN Sari, Jarmi Puspita Sari, Poppy Antika Satria Putra Utama Septarena, Refi Sidabutar, Rimayani Sirait, Reni Aprinawaty Sriyoto Sriyoto, Sriyoto Suda, Kadek Reda Setiawan Sumantri Maria, Sumantri Syamsuri trisusilo, agung Wati, Nisya Nur Choirunia Wiryanto, Ibnu Yeni Marlina Yulian Apriansyah, Yulian Yulius Budiman, Yulius Yuningsih, Windi Tetra Yurida Safitri, Yurida Yuristia, Rahmi Zizou Aly, M.Fadhlullah Prasetyo