Health Performance Assessment of Grid-Connected PV Systems Using Safe Operating Area Concept

Authors

  • Mohamad Zhafran Huussin School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Cawangan Johor, Kampus Pasir Gudang, 81750 Masai, Johor, Malaysia
  • Ridzuwan Mohd Jais Renewable Energy and Green Technology Unit, TNB Research Sdn Bhd, 43000 Kajang, Selangor, Malaysia
  • Ahmad Maliki Omar Green Energy Research Group, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Nor Diyana Md Sin School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Cawangan Johor, Kampus Pasir Gudang, 81750 Masai, Johor, Malaysia
  • Rozi Rifin School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Cawangan Johor, Kampus Pasir Gudang, 81750 Masai, Johor, Malaysia
  • Eko Adhi Setiawan Tropical Renewable Energy Center, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI, Depok 16424, Indonesia

DOI:

https://doi.org/10.37934/araset.48.1.8999

Keywords:

Grid-connected, solar photovoltaic, optimization, inverter sizing

Abstract

The efficacy of a safe operating area (SOA) concept in assessing and sizing PV arrays with the inverter is highlighted in this paper. With substantial input data and using Mathcad's coding and some information derived from the inverter manufacturer, enables us to generate the SOA curve. Most of the simulation software, which is frequently offered on the commercial market by big solar firms, focuses on the early stages of designing and sizing, weather data information, as well as economic benefits. Dissimilar from other providers, the system integrators can effectively verify the current design using this concept, and it is also able to recognize the uncertainty behaviour that emerges during system operation. Concerning PV module technology, capacity size, and uncertainty in system behaviour, three different case studies have been chosen to verify the SOA concept and effectively demonstrate the SOA curve's ability to diagnose and correct system health. The findings also demonstrated some unpredictable behaviour, such as two cases exposed to undersized inverters that create clamping events due to inverter saturation and allow new adjustments to the configuration setups, while one oversized case when it has been verified by the SOA concept. Moving closer to the limit boundary of the SOA curve makes it more cost-effective to operate optimally and maximizes the system’s production with its maximum characteristics.

Author Biographies

Mohamad Zhafran Huussin, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Cawangan Johor, Kampus Pasir Gudang, 81750 Masai, Johor, Malaysia

mohamadzhafran@gmail.com

Ridzuwan Mohd Jais, Renewable Energy and Green Technology Unit, TNB Research Sdn Bhd, 43000 Kajang, Selangor, Malaysia

ridzuwan.jais@tnb.com.my

Ahmad Maliki Omar, Green Energy Research Group, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

maliki_omar@uitm.edu.my

Nor Diyana Md Sin, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Cawangan Johor, Kampus Pasir Gudang, 81750 Masai, Johor, Malaysia

diyana0366@uitm.edu.my

Rozi Rifin, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Cawangan Johor, Kampus Pasir Gudang, 81750 Masai, Johor, Malaysia

rozir7625@uitm.edu.my

Eko Adhi Setiawan, Tropical Renewable Energy Center, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI, Depok 16424, Indonesia

ekoas@eng.ui.ac.id

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Published

2024-07-09

How to Cite

Mohamad Zhafran Huussin, Ridzuwan Mohd Jais, Ahmad Maliki Omar, Nor Diyana Md Sin, Rozi Rifin, & Eko Adhi Setiawan. (2024). Health Performance Assessment of Grid-Connected PV Systems Using Safe Operating Area Concept. Journal of Advanced Research in Applied Sciences and Engineering Technology, 48(1), 89–99. https://doi.org/10.37934/araset.48.1.8999

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