Optimal Design of NPC and Active-NPC Transformerless PV Inverters

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#ieee #engineering #power electronics #PV #photovoltaic #algorithms #optimal #optimization #pv inverters #npc #anpc #topology #transformerless #renewable energy #energy #sustainable energy

IEEE's Power Electronics Society has been hosting Webinars nearly once a month as part of an ongoing series. These educational Webinars go into great depth about current issues in the developing projects of electrical engineers, such as methods of providing sustainable energy and the mathematical algorithms and calculations involved in making such energy sources work properly. Dr. Eftichious Koutrolis describes what he believes to be an optimal design for transformerless PV inverters and goes into detail as to how the design works and how it is more efficient than the current design of transformerless PV inverter systems. His design draws from the topologies of NPC and ANPC, in that a different set of optimal values of the PV inverter switching frequency and output filter components are derived for the NPC and ANPC topologies. Cost and efficiency are equally covered in this Webinar, as Koutrolis demonstrates that the cost of these structures is rather low. Eftichious Koutrolis lives in Chania, Greece, where he attended the Technical University of Crete. He earned both his B.S. and M.S. in Electronic and Computer Engineering in 1996 and 1999, respectively. He earned a PhD in Renewable Energy Sources in 2002 from the same university. He currently works there as an assistant professor in the Department of Electronic and Computer Engineering and researches Renewable Energy Sources and Power Electronics actively.

Eftichious Koutrolis gives a presentation on the optimal design of transformerless photovoltaic (PV) inverters, citing Neural Point Clamped (NPC) and Active Neural Point Clamped (ANPC) topologies as important aspects of this optimization.

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