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Publikācija: Power Plants Feasibility Studies Supported by Stochastic Programming Software

Publication Type Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database
Funding for basic activity National Research Programme
Defending: ,
Publication language English (en)
Title in original language Power Plants Feasibility Studies Supported by Stochastic Programming Software
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Research platform None
Authors Antans Sauļus Sauhats
Grigorijs Pašņins
Jevgeņijs Kucajevs
Dmitrijs Soboļevskis
Keywords Feasibility studies, optimization of power plant, planning, stochastic programming.
Abstract The paper is dedicated to the power plants feasibility study, which can be considered as a first step of a long way design, construction and commissioning of power plant. This task is hundred years old, but with the market tools implementation on power systems operation and planning the feasibility study conditions change substantially. The criteria for maximizing the profit of stakeholders of power plant should be reformulated. The criteria may contain the uncertain and random variables. The task assumes stochastic programming form. The needs for additional large amount of information appear. As a result, the task becomes much more complicated which necessitates the creation of new algorithms and software tools for its solution. The paper is devoted to a description and justification of the developed software product and its application to real plant feasibility study.
DOI: 10.1109/RTUCON.2014.6998184
Hyperlink: https://ieeexplore.ieee.org/document/6998184 
Reference Sauhats, A., Pašņins, G., Kucajevs, J., Soboļevskis, D. Power Plants Feasibility Studies Supported by Stochastic Programming Software. In: 2014 55th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) : Proceedings, Latvia, Riga, 14 October, 2014. Riga: RTU Press, 2014, pp.158-162. ISBN 978-1-4799-7460-3. e-ISBN 978-1-4799-7462-7. Available from: doi:10.1109/RTUCON.2014.6998184
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ID 30758