Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

By Bo Yang, Jingbo Wang, Xiaoshun Zhang, Tao Yu, Wei Yao, H. Shu, Fang Zeng, Liming Sun. 2020

343 citations recorded by the source corpus.

Abstract Accurate parameter identification is crucial for a precise PV cell modelling and analysis of characteristics of PV systems, while high nonlinearity of output I-V curve makes this problem extremely thorny. Hence, a large number of researches have aroused extensive interests in the past few years. Due to the rapid advancement of computer technology and swarm intelligence, various promising meta-heuristic algorithms have been proposed to further accelerate this trend. This paper aims to undertake a comprehensive review on meta-heuristic algorithms and related variants which have been applied on PV cell parameter identification. Particularly, these algorithms are classified into four categories, e.g., biology-based algorithms, physics-based algorithms, sociology-based algorithms and mathematics-based algorithms. Meanwhile, the evaluation criteria and identification performance of each algorithm are thoroughly addressed. Besides, in order to quantitatively evaluate and compare various algorithms, the identified PV parameters including the specific error and the simulated output I-V or P-V curves are provided at the end of each algorithm. Moreover, a comprehensive summary is also introduced to more specifically guide the readers to grasp and utilize these approaches. Lastly, based on the covered twenty-eight algorithms, conclusion presents some perspectives and recommendations for future development.

Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/4dc8a2cca5c4f367ed321f23add62c68fa393032

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Afeez Abidemi
2. Emmanuel Gbenga Dada
3. Ban Mohammed Khammas
4. Stephen Bassi Joseph
5. David Opeoluwa Oyewola

Citations in the corpus

• Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems (2022, background): “…2020), multi-objective virtual machine placement mechanisms in cloud com- puting (Donyagard Vahed et al., 2019), applications on PV cell parameter identification (Yang et al., 2020), solving grouping problems (Ramos-Figueroa et al., 2020) and hydropower energy optimization (Azad et al., 2020).”