International Journal of Electrical and Computer Engineering
Vol 12, No 5: October 2022

Hybrid photovoltaic maximum power point tracking of Seagull optimizer and modified perturb and observe for complex partial shading

Novie Ayub Windarko (Politeknik Elektronika Negeri Surabaya)
Evi Nafiatus Sholikhah (Politeknik Elektronika Negeri Surabaya)
Muhammad Nizar Habibi (Politeknik Elektronika Negeri Surabaya)
Eka Prasetyono (Politeknik Elektronika Negeri Surabaya)
Bambang Sumantri (Politeknik Elektronika Negeri Surabaya)
Moh. Zaenal Efendi (Politeknik Elektronika Negeri Surabaya)
Hazlie Mokhlis (University of Malaya)

Article Info

Publish Date
01 Oct 2022


Due to natural randomness, partial shading conditions (PSCs) to photovoltaic (PV) power generation significantly drop the power generation. Metaheuristic based maximum power point tracking (MPPT) can handle PSCs by searching PV panels’ global maximum power point (GMPP). However, trapped at local maxima, sluggishness, continuous power oscillations around GMPP and inaccuracy are the main disadvantages of metaheuristic algorithm. Therefore, the development of algorithm under complex PSCs has been continuously attracting many researchers to yield more satisfying results. In this paper, several algorithms including conventional and metaheuristic are selected for candidate, such as perturb and observe (P&O), firefly (FF), differential evolution (DE), grey wolf optimizer (GWO) and Seagull optimizer (SO). From the preliminary study, SO has shown best performance among other candidates. Then, SO is improved for rapid global optimizer. Modified variable step sizes perturb and observe (MVSPO) is applied to enhance the accuracy tracking of SO. To evaluate the performances, high complexity multipeak partial shading is used to test the algorithms. Statistical results are also provided to analyze the trend of performances. The proposed method performances are shown better fast-tracking time and settling time, high accuracy, higher energy harvesting and low steady-state oscillations than other candidates.

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Journal Info





Computer Science & IT Electrical & Electronics Engineering


International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...