https://orcid.org/0000-0002-0153-603X
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Abstract
In recent times, impedance networks have been developed to overcome the limitations and problems of traditional VSI / CSI and various traditional dc-dc converter networks. From then on, impedance source converters replace the entire range of power electronic converters: dc-dc (converters), dc-ac (inverters), ac-dc (rectifiers), ac-ac frequency regulators (matrix converters). In addition, the impedance source networks are used in a wide range of applications like PV-Grid tied systems, wind energy systems, distributed generations, adjustable speed drives, UPS systems, battery/supercapacitor/flywheel energy storage systems, electric vehicles, electronic loads, and dc circuit breakers, etc. Several topological changes have occurred to improve the performance of conventional ZSIs. This paper provides a concise review of the state-of-the-art impedance source topologies. This paper categorized the impedance topologies based on their functionality, performance improvements, and switching configuration employed. This paper also demonstrates the fundamental structural similarities, advantages, and disadvantages of each topology, which helps the end-users in topology selection.
Acknowledgements
The authors would like to thank the Science and Engineering Research Board, Department of Science and Technology, Ministry of Science and Technology, India, for its financial support through the Extra Mural Research Funding Scheme; grant number EMR/2016/0005851.
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Reddiprasad Reddivari
Reddiprasad Reddivari received the BTech degree in electrical and electronics engineering and the MTech degree in power electronics from Jawaharlal Nehru Technological University, Ananthapur, India, in 2011 and 2014, respectively. He is currently working towards the PhD degree in the Department of Electrical and Electronics Engineering, National Institute of Technology Karnataka (NITK), Surathkal, India. His research interests include power electronics applications, impedance source converters, and control systems. Email: [email protected]
Debashisha Jena
Debashisha Jena received his bachelor of electrical engineering degree from University College of Engineering, Burla, India, in 1996, Master of Technology in electrical engineering in 2004, and PhD degree in control system engineering from the Department of Electrical Engineering, National Institute of Technology, Rourkela, India, 2010. He was awarded a GSEP fellowship in 2008 from Canada for research in control and automation. Currently, he is an assistant professor in the Department of Electrical & Electronics Engineering in the National Institute of Technology Karnataka, Surathkal, Mangalore, India. His research interests include evolutionary computation, system identification, neuro-evolutionary computation, and photovoltaic power conversion systems. Corresponding author. Email: [email protected]