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Publikācija: Power Smoothing Approach within Industrial DC Microgrid with Supercapacitor Storage for Robotic Manufacturing Application

Publication Type Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Power Smoothing Approach within Industrial DC Microgrid with Supercapacitor Storage for Robotic Manufacturing Application
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Armands Šenfelds
Maksims Vorobjovs
Dāvis Meike
Oskars Bormanis
Keywords automobile industry distributed power generation energy conservation industrial robots optimisation power consumption power grids power supplies to apparatus smoothing methods supercapacitors
Abstract This research paper cover optimization process a converting conventional AC supply system towards DC based industrial power distribution system with supercapacitor storage based power balancing functionality. Electrical power consumption reference data is based on 4 industrial robot manufacturing area with automotive industry specific production processes and respective electrical load examples. Improvement in energy efficiency by interconnection and energy exchange process of production equipment as well as peak loading reduction on supplying AC power grid infrastructure is demonstrated.
DOI: 10.1109/CoASE.2015.7294283
Hyperlink: http://ieeexplore.ieee.org/document/7294283/ 
Reference Šenfelds, A., Vorobjovs, M., Meike, D., Bormanis, O. Power Smoothing Approach within Industrial DC Microgrid with Supercapacitor Storage for Robotic Manufacturing Application. In: 2015 IEEE International Conference on Automation Science and Engineering (CASE 2015) : Automation for a Sustainable Future: Proceedings, Sweden, Gothenburg, 24-28 August, 2015. Piscataway: IEEE, 2015, pp.1333-1338. ISBN 978-1-4673-8184-0. e-ISBN 978-1-4673-8183-3. Available from: doi:10.1109/CoASE.2015.7294283
Additional information Citation count:
ID 21120