TINJAUAN SISTEMATIS KOMPARATIF ALGORITMA CUCKOO SEARCH DAN VARIANNYA DALAM PELACAKAN GMPP PADA KONDISI PARTIAL SHADING
DOI:
https://doi.org/10.52436/1.jpti.2224Keywords:
Algoritma Cuckoo Search, Fotovoltaik, MPPT, Partial Shading Condition, Tinjauan SistematisAbstract
Kegagalan algoritma Maximum Power Point Tracking (MPPT) konvensional dalam mengatasi Partial Shading Condition (PSC) telah mendorong pengembangan algoritma optimasi, khususnya Cuckoo Search (CS). Namun, banyaknya varian CS (standar, modifikasi, hibrid) menghasilkan literatur kinerja yang terfragmentasi. Penelitian ini bertujuan untuk melakukan tinjauan sistematis guna mengidentifikasi, membandingkan, dan menganalisis kinerja berbagai varian CS dalam mengatasi PSC. Metode penelitian menggunakan tinjauan sistematis dengan sintesis naratif terhadap enam studi primer yang relevan. Menggunakan metode Systematic Literature Review (SLR) dengan kerangka kerja PRISMA periode 2016–2026, proses seleksi ketat menghasilkan enam studi primer yang layak dianalisis. Data kinerja khususnya efisiensi pelacakan dan waktu konvergensi diekstraksi dan dianalisis dalam tabel sintesis. Hasil menunjukkan bahwa waktu konvergensi CS standar (0.30s-0.33s) lebih unggul dari PSO (0.38s-0.41s) tetapi secara signifikan lebih lambat dari ANN (0.12s). Temuan utama menunjukkan bahwa strategi modifikasi (0.19s-0.21s) dan hibridisasi (0.28s) terbukti secara konsisten mampu mengatasi kelemahan CS Standar dengan meningkatkan kecepatan konvergensi secara drastis. Tinjauan ini mengidentifikasi kesenjangan penelitian utama berupa fokus pengujian yang seragam pada skenario PSC statis dan penggunaan konverter boost. Temuan teknis ini tidak hanya berkontribusi pada pengembangan smart inverter, tetapi juga menyediakan data karakteristik non-linier yang valid sebagai objek studi kasus nyata. Implikasi penelitian ini diharapkan dapat memperkaya literasi teknologi serta menguatkan pemahaman konseptual akademik.
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