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Publikācija: An Optimization Algorithm Selection to Regulate the Power Plant Work

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 An Optimization Algorithm Selection to Regulate the Power Plant Work
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Renāta Varfolomejeva
Romāns Petričenko
Antans Sauļus Sauhats
Jevgeņijs Kucajevs
Keywords power generation control, production planning, decision-making
Abstract This paper introduces the optimization algorithm selection for the bids formation in deregulated market. The solution of the task is made on stochastic optimization procedure. The time average revenue maximization approach is taken to analyze and find optimum in uncertainty. The random nature of the future energy prices and river water inflows is considered. A case study is conducted on a realistic hydroelectric power work in cascade and demonstrates the advantages of the stochastic approach. It is concluded that the proposed approach, developed algorithms, the data capture from Internet, enhanced user friendly interface shall support and enable improved decision making for the power station operator.
DOI: 10.1109/RTUCON.2015.7343156
Hyperlink: http://ieeexplore.ieee.org/document/7343156/ 
Reference Varfolomejeva, R., Petričenko, R., Sauhats, A., Kucajevs, J. An Optimization Algorithm Selection to Regulate the Power Plant Work. In: 2015 56th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): Proceedings, Latvia, Riga, 14-14 October, 2015. Riga: Riga Technical University, 2015, pp.63-68. ISBN 978-1-5090-0334-1. e-ISBN 978-1-4673-9752-0. Available from: doi:10.1109/RTUCON.2015.7343156
Additional information Citation count:
  • Scopus  0
ID 20865