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https://dspace.upt.ro/xmlui/handle/123456789/6295
Title: | A novel Optimal Power Flow study with TCPS [articol] |
Authors: | Sankar, S. Kumar, M. N. Saravana |
Subjects: | FACTS Genetic algorithm Power flow optimum |
Issue Date: | 2021 |
Publisher: | Timișoara : Editura Politehnica |
Citation: | Sankar, S.; Kumar, M. N. Saravana. A novel Optimal Power Flow study with TCPS. Timişoara: Editura Politehnica, 2021. |
Series/Report no.: | Journal of Electrical Engineering;Vol 21 No 2 |
Abstract: | One of the really significant utility algorithms available in an energy system to meet transmission and operational constraints to produce lower cost generation patterns is optimal power flow (OPF). In order to achieve a solution, a large range of traditional techniques are available. The predicted loads used in classical OPF algorithms are increasing over time in everyday life and are also not fully error-free. By varying the load requirements, the transmission lines are overloaded and expected errors result in optimum system failure. Hence, in this modern context, power flow analysis techniques could not be able to include appropriate solution. To address the dynamic optimization issue for the 30bus scheme, this paper presents a simple dynamic programming analysis. Our aim is to reduce fuel costs and maintain at their safe limits the tap-setting of power requirements of alternators, line voltage magnitude, line synchronous condensers / reactors and transformers. |
URI: | https://dspace.upt.ro/xmlui/handle/123456789/6295 |
ISSN: | 1582-4594 |
Appears in Collections: | Articole științifice/Scientific articles |
Files in This Item:
File | Description | Size | Format | |
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BUPT_ART_Sankar_f.pdf | 1.07 MB | Adobe PDF | View/Open |
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