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Publikācija: A Stochastic Approach to the Feasibility Study for Overhead Power Lines

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 A Stochastic Approach to the Feasibility Study for Overhead Power Lines
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Svetlana Berjozkina
Ļubova Petričenko
Antans Sauļus Sauhats
Nauris Jankovskis
Viktoria Neimane
Keywords Costs, design optimization, power system planning, stochastic processes, transmission lines.
Abstract This paper presents a stochastic optimization approach to the feasibility study for power lines, taking into account market conditions. To validate the proposed stochastic approach, an economic comparison of several power line design alternatives has been done, considering technical issues as well. The final evaluation and analysis was based on the results obtained by applying both approaches: the deterministic (classical) method and the stochastic one. Both methods are used for power line design including optimum selection of the main parameters of the line such as tower height, type and coordinates, conductor type and cross-section, line fittings etc. The optimization problem is formulated as minimization of the total annual operating and construction costs. The solution task is realized in MATLAB software by using the Monte Carlo method as well as in the overhead power line automation design system PLS-CADD.
DOI: 10.1109/EEM.2015.7216663
Hyperlink: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7216663 
Reference Berjozkina, S., Petričenko, Ļ., Sauhats, A., Jankovskis, N., Neimane, V. A Stochastic Approach to the Feasibility Study for Overhead Power Lines. In: 2015 12th International Conference on the European Energy Market (EEM 2015): Proceedings, Portugal, Lisbon, 19-22 May, 2015. Piscataway: IEEE, 2015, pp.314-318. ISBN 978-1-4673-6693-9. e-ISBN 978-1-4673-6692-2. Available from: doi:10.1109/EEM.2015.7216663
Additional information Citation count:
ID 21679