Solar photo voltaic module parameter extraction using a novel Hybrid Chimp-Sine Cosine Algorithm

ABSTRACT

The research on deriving accurate equivalent circuit of solar photovoltaic (PV) modules is increasing due to the necessity of constructing efficient energy conversion devices. The PV panel manufacturers provide data on three essential points on current–voltage (I–V) characteristics for standard temperature conditions (STC). Hence, the research on PV modules for different environmental/operational conditions with equivalent mathematical models are quite complex. Therefore, there is a necessity to derive accurate PV equivalent circuit parameters using novel AI-based approaches. This work proposes a novel hybrid meta-heuristic algorithm, hybrid Chimp-Sine cosine algorithm (HCSCA), for PV panel equivalent circuit parameter extraction. A well-known single- and double-diode PV models have been investigated with the proposed algorithm for different categories of PV modules, namely monocrystalline, polycrystalline, and thin film. The parameters derived from the proposed approach result in minimum error over different executions in the order of less than 10⁻¹⁰, which recommends better implementation in the present scenario. The nature of extracted parameters and I–V characteristics of considered PV panels are examined over different runs, which provided satisfactory performance characteristics with the proposed algorithm and recommended for its practical implementation.

KEYWORDS:

• Photovoltaic cell
• Parameter extraction
• Maximum power point
• Chimp Optimization Algorithm
• Sine Cosine algorithm

Nomenclature

Table

Acknowledgments

The authors would like to thank TEQIP-3 of B. I. T. Sindri for the assistance received from the Seed grant project.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Raja Kumar Vandrasi

Raja Kumar Vandrasi is currently working as Assistant Professor in the Department of Electrical & Electronics Engineering, GITAM Deemed to be University, Visakhapatnam, Andhra Pradesh, India, and Pursuing Ph.D. from the same University. He received Bachelor’s Degree in Electrical & Electronics Engineering from N.I.T, Warangal, India, and Master’s Degree in Power Systems and Automation from J.N.T.U, Kakinada. His current research interests include Power system optimization, Applications of Metaheuristic Optimization Algorithms to Power Systems, Photovoltaic Systems and Distributed Generation.

Bali Sravana Kumar

Raja Kumar Vandrasi is currently working as Assistant Professor in the Department of Electrical & Electronics Engineering, GITAM Deemed to be University, Visakhapatnam, Andhra Pradesh, India, and Pursuing Ph.D. from the same University. He received Bachelor’s Degree in Electrical & Electronics Engineering from N.I.T, Warangal, India, and Master’s Degree in Power Systems and Automation from J.N.T.U, Kakinada. His current research interests include Power system optimization, Applications of Metaheuristic Optimization Algorithms to Power Systems, Photovoltaic Systems and Distributed Generation.

Bali Sravan Kumar received his Bachelor Degree in Electrical and Electronics Engineering from the College of Engineering, JNTU, Hyderabad, the Master Degree in Electrical Power Engineering from Gandhi Institute of Technology and Management (GITAM), Visakhapatnam, Andhra Pradesh, India, and he received his Doctoral degree from Jawaharlal Nehru Technological University, Kakinada. He is presently working as Assistant Professor in the Department of Electrical and Electronics Engineering, Gandhi Institute of Technology and Management (GITAM), Visakhapatnam, Andhra Pradesh, India. His research interests are Power system stability analysis, FACTS devices, and Power system optimization. He has published several research papers in national and international conferences and journals.

Ramesh Devarapalli is currently working as Assistant professor in the Department of Electrical Engineering, BIT Sindri, Dhanbad. He did his Ph.D. from IIT (ISM), Dhanbad, India, and M.Tech from IIT (BHU), Varanasi, India, in 2022 and 2012, respectively. His research interests include power system stability, grid integration of renewable sources, and applying AI methods to power system operation and control.

Ramesh Devarapalli

Ramesh Devarapalli is currently working as Assistant professor in the Department of Electrical Engineering, BIT Sindri, Dhanbad. He did his Ph.D. from IIT (ISM), Dhanbad, India, and M.Tech from IIT (BHU), Varanasi, India, in 2022 and 2012, respectively. His research interests include power system stability, grid integration of renewable sources, and applying AI methods to power system operation and control.