A Novel Hybrid MPPT Technique Based on Harris Hawk Optimization (HHO) and Perturb and Observer (P&O) under Partial and Complex Partial Shading Conditions

Muhammad Annas Hafeez, Ahmer Naeem, Muhammad Akram, Muhammad Yaqoob Javed, Aamer Bilal Asghar and Yong Wang
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Muhammad Annas Hafeez: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore 54000, Pakistan
Ahmer Naeem: Department of Computer Engineering, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta 87300, Pakistan
Muhammad Akram: Department of Software Engineering, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta 87300, Pakistan
Muhammad Yaqoob Javed: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore 54000, Pakistan
Aamer Bilal Asghar: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore 54000, Pakistan
Yong Wang: School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China

Energies, 2022, vol. 15, issue 15, 1-18

Abstract: Photovoltaic (PV) systems have been used extensively worldwide over the past few years due to the mitigation of fossils fuels; it is the best source because of its eco-friendly nature. In PV systems, the main research area concerns its performance under partial shading (PS) and complex partial shading (CPS) conditions. PV sources perform perfectly under ideal conditions, but under practical conditions, their performance depends upon many factors, including shading conditions, temperature, irradiance, and the angle of inclination, which can bring a photovoltaic or solar system into a PS or CPS condition. In these conditions, many power peaks appear, and it is hard to find the global peak among many local peaks. The ability to track the maximum power peak and maintain it to avoid fluctuations depends on the maximum power point tracking (MPPT) technique used in a photovoltaic system. This article is based on the implementation of a hybrid algorithm, combining Harris hawk’s optimization (HHO), a new technique which is based on natural inspiration, and a conventional perturb and observe (P&O) technique. The hybrid technique was tested under different weather conditions in MATLAB Simulink and showed less computational time, a fast convergence speed, and zero oscillations after reaching a power point’s maximum limit. A performance comparison of the hybrid technique was made with bio-inspired particle swarm optimization (PSO), adaptive cuckoo search optimization (ACS), the dragonfly algorithm (DFO), and the water cycle algorithm (WCA). The hybrid technique achieves 99.8% efficiency on average and performs very well among the rest of the competing techniques.

Keywords: photovoltaic (PV); dragonfly (DA); maximum power point tracking (MPPT); perturb and observe (P&O); adaptive cuckoo search optimization (ACS); particle swarm optimization (PSO); local maxima (LM); complex partial shading (CPS); partial shading (PS) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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