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Original Articles

Dynamic MPPT Controller Using Cascade Neural Network for a Wind Power Conversion System with Energy Management

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ABSTRACT

This paper proposes a dynamic maximum power point tracking (MPPT) controller for a permanent magnet synchronous generator (PMSG)-based variable speed autonomous wind power conversion system (WPCS) with an energy storage system (ESS). The dynamic controller extracts the maximum power from the WPCS under variable speed conditions using a cascade neural network (CNN)-based MPPT algorithm. Also, the efficient power management between an ESS, load and WPCS is obtained using a conventional PI controller. The CNN is trained and tested using simulation and experimental data, respectively. The performance of CNN-based MPPT is also compared with feed-forward-based MPPT in terms of accuracy and complexity. This paper also discusses FPGA implementation aspects of CNN-based MPPT and hardware resources management for desired accuracy. The proposed method is first implemented on a simulation model 900-watt PMSG-based WECS and results are validated. Further, the enthusiastic results were finally evaluated in a hardware setup of 1 HP PMSG-based WECS. The proposed method is shown to extract maximum power with a simple structure and provide a better response to variable wind speed.

Additional information

Funding

This work was supported and funded by Central Power Research Institute (CPRI), Ministry of Power, Govt. of India under Grant [grant number RSOP/2015/DG/8/15122015]. This research work was also supported and funded by the Science and Engineering Research Board under [grant number ECR/2017/000468].

Notes on contributors

K. Chandrasekaran

K Chandrasekaran was born in India and received his BE (Electrical and Electronics Engineering) and ME (Power system) at Anna University, Chennai, India, in the years 2005 and 2007, respectively. He obtained his PhD (Power System Engineering) at National Institute of Technology, Tiruchirappalli, in the year 2012. Currently, he is an assistant professor in the Department of Electrical and Electronics Engineering, National Institute of Technology Puducherry, Karaikal.

Madhusmita Mohanty

Madhusmita Mohanty received the BTech andMTech degrees from BijuPatnaikUniversity of Technology (BPUT), Odisha, in 2013, and Veer SurendraSai University of Technology (VSSUT), Odisha, in 2016, respectively. She is pursuing her PhD in Department of EEE at NIT Puducherry, India, under a project funded by CPRI Bangalore. Presently, she is working as management trainee (Electrical), Odisha Power Transmission Corporation Limited (OPTCL), Odisha. Email: [email protected]

Mallikarjuna Golla

Mallikarjuna Golla was born in India and received the BTech (Electrical & Electronics Engineering) and MTech (Electrical Power Systems) from Jawaharlal Nehru Technological University Hyderabad (JNTUH), India, in the years 2010 and 2014. He is pursuing his PhD degree in Department of EEE at NIT Puducherry, India, under a project funded by SERB, DST. Email: [email protected]

A. Venkadesan

A Venkadesan was born in India and received his BE (Electrical and Electronics Engineering) and ME (Power system) at Pondicherry Engineering College, Puducherry, India, in the years 2006 and 2008, respectively. He obtained his PhD at Pondicherry Engineering College, Puducherry, in the year 2014. Currently, he is an assistant professor in the Department of Electrical and Electronics Engineering, NIT Puducherry, Karaikal. Email: [email protected]

Sishaj P. Simon

Sishaj Pulikottil Simon was born in India and received his BE (Electrical and Electronics Engineering) and ME (Applied Electronics) at Bharathiar University, Coimbatore, India, in the years 1999 and 2001. He obtained his PhD (Power System Engineering) at Indian Institute of Technology (IIT), Roorkee, India, in the year 2006. Currently, he is an associate professor in the Department of Electrical and Electronics Engineering at NIT, Tiruchirappalli, TamilNadu, India. Email: [email protected]

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