Implementation of Incremental Conductance MPPT Algorithm with Integral Regulator by Using Boost Converter in Grid-Connected PV Array

ABSTRACT

This paper presents a rapid, effective, and linear incremental conductance (IC) algorithm for chasing the maximum power point (MPP) of the grid-tied photovoltaic (PV) array. A technique has been proposed to find the optimum values of the design parameters of the PV array. This methodology enables the prime matching of the PV system with the DC/AC converter configuration by calculating the optimal values of the inductor, capacitor, and the duty cycle of the boost converter. Analysis of different techniques for maximum power point tracking (MPPT) is presented and the comprehensive design of the PV converter system is also incorporated. The number of switches has been reduced for optimal power generation. Similarly, a technical inter-comparison has been made with the existing topologies. MATLAB/Simulink is used to characterize solar PV characteristics at various irradiance and temperature profiles. Furthermore, the simulation results agree well with the designed version in terms of PV panel efficiency.

KEYWORDS:

• Boost converter
• Incremental conductance
• MPPT
• Photovoltaic

Additional information

Notes on contributors

Muhammad Abu Bakar Siddique

Muhammad Abu Bakar Siddique was born in 1994 and belongs to Lahore, Pakistan. He received his bachelor's degree in electrical engineering from The Superior College, Lahore, Pakistan, in 2016 and master's degree in electrical engineering (Control Systems) from Government College University, Lahore, Pakistan in 2018. Currently, he is doing PhD at the College of New Energy, China University of Petroleum (East China) Qingdao, China. His research interests include industrial automation, smart grid, photovoltaic system and control system optimization. Email: [email protected]

Adeel Asad

Adeel Asad was born in 1994 and belongs to Sheikhupura, Pakistan. He received bachelor's degree in electrical engineering from The Superior College, Lahore, Pakistan, in 2016 and master's degree in electrical engineering (Control Systems) from Government College University, Lahore, Pakistan in 2018. Currently, he is doing PhD at the College of Control Science and Engineering, China University of Petroleum, Qingdao, China. His research interests include industrial automation, smart grid, photovoltaic system, and digital control system. Email: [email protected]

Rao M. Asif

Rao Muhammad Asif was born in Multan, Pakistan. He received his bachelor's degree in electrical engineering from The Superior College, Lahore, Pakistan, in 2013 and master's degree in electrical engineering with a specialization in power systems from The Superior College, Lahore, in 2015. After completing his BS degree, he remained with the same college in the capacity of a lab engineer. Since 2016, he is working as a lecturer in The Superior College, Lahore, Pakistan. Currently, he is pursuing PhD degree in the same institute. His research interests include smart grid, solid state devices, and renewable energy resources. Email: [email protected]

Ateeq Ur Rehman

Ateeq Ur Rehman belongs to Rawalpindi, Pakistan. He completed his bachelor's degree in electrical engineering with a specialization in telecommunication from COMSATS Institute of Information Technology (CIIT), Lahore, Pakistan, in 2009 and master’s degree in electrical engineering with a specialization in telecommunications from Blekinge Institute of Technology (BTH), Karlskrona, Sweden in 2011. After completing his master's degree, he remained with the University of South Asia and Superior University Lahore, Pakistan in the capacity of a lecturer. Since 2016, he is working as a lecturer at Government College University (GCU), Lahore, Pakistan. Currently, he is pursuing PhD degree in the College of Internet of Things (IoT) Engineering, Hohai University (HHU), Changzhou Campus, China. His research interests include biomedical signal processing, renewable energy resource, the Internet of Things (IoT), social Internet of Things (IoT), and big data.

Muhammad Tariq Sadiq

Muhammad Tariq Sadiq completed his bachelor's degree in electrical engineering from the COMSATS Institute of Information Technology, Lahore, Pakistan, in 2009, and the master's degree in electrical engineering from the Blekinge Institute of Technology, Sweden, in 2011. After completing his master’s degrees he remained as an assistant professor with the Sharif College of Engineering and Technology (SCET), Lahore, Pakistan (affiliated with the University of Engineering and Technology, Lahore) and a lecturer with the University of South Asia. He also worked as a project manager with SCET. He is currently pursuing a PhD with Northwestern Polytechnical University, Xi'an, China, and an assistant professor with The University of Lahore. His current research interests include biomedical signal analysis and classification. Email: [email protected]

Inam Ullah

Inam Ullah received the BSc degree in electrical engineering (Telecommunication) from the University of Science and Technology Bannu (USTB), KPK, Pakistan, in 2016, and the Master’s degree in information and communication engineering from the Hohai University (HHU), China, in 2018, where he is currently pursuing the PhD degree with the College of IoT Engineering. He was an assistant engineer with ZTE Islamabad, Pakistan, in 2016. His awards and honors include the best student award from USTB, in 2015, Top-10 students award of the College of IoT Engineering, in 2019 and Top-100 students award of Hohai University, in 2019. His research interests include wireless sensor networks (WSNs),underwater sensor networks (USNs), and edge/fog computing. Email: [email protected]