Parameter Estimation and Analysis of Photovoltaics through a Hybrid Emperor Penguin Optimisation Approach under Different Environmental Constraints

Abstract

The estimation of mathematical model parameters of solar photovoltaic (PV) establishes as one of the most prominent problems highlighted in recent researches. Various techniques in the literature employ experimental data and information from the manufacturer’s datasheet for the solution, where precise and highly consistent solution identification is still a multifaceted issue to be addressed. In this paper, a novel Emperor Penguin Optimiser (EPO)-based hybrid approach is inducted for the estimation of single-diode PV model (SDM) parameters that are analysed under diverse sets of environmental constraints. The validity of the proposed method is reflected in the analysis of the operating characteristics namely power–voltage (P–V) and current–voltage (I–V) characteristics of multicrystalline and polycrystalline modules under numerous simulations conditions. In addition, the measured results are compared with the test data and a few speculative strategies developed in the literature and reflect the proposed process with more direct results that reduced the computational cost of the PV parameter extraction problem.

KEYWORDS:

• Emperor penguin optimiser
• Irradiance
• Parameter estimation
• Photovoltaic (PV)
• Single diode model (SDM)

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Abhishek Chauhan

Abhishek Chauhan received the BTech degree in electrical and electronics engineering in 2011 from UPTU and the ME degree in control system engineering in 2013 from Graphic Era University, Dehradun India. He is currently a PhD scholar at Electrical & Instrumentation Engineering Department, Thapar Institute of Engineering and Technology (Deemed-to-be-University), Patiala, India. His research interests include power quality analysis of industrial machines and solar based renewable energy systems; he is also an IEEE-PES Member.

Surya Prakash

Surya Prakash received his Bachelor of Engineering degree from the Institution of Engineers (India) in 2003. He obtained his MTech in electrical engineering (Power Systems) from KNIT, Sultanpur, India, in 2009, and PhD in electrical engineering (Power System) from SHIATS-DU (formerly AAI-DU, Allahabad, India) in 2014. Presently, he is working as an associate professor in the Electrical & Instrumentation Engineering Department, Thapar Institute of Engineering and Technology (Deemed to be University, Patiala, India. His field of interest includes power system operation & control, artificial intelligent control, and distributed generation. Email: [email protected]