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A novel Optimal Power Flow study with TCPS [articol]

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dc.contributor.author Sankar, S.
dc.contributor.author Kumar, M. N. Saravana
dc.date.accessioned 2024-06-05T08:30:44Z
dc.date.available 2024-06-05T08:30:44Z
dc.date.issued 2021
dc.identifier.citation Sankar, S.; Kumar, M. N. Saravana. A novel Optimal Power Flow study with TCPS. Timişoara: Editura Politehnica, 2021. en_US
dc.identifier.issn 1582-4594
dc.identifier.uri https://dspace.upt.ro/xmlui/handle/123456789/6295
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Timișoara : Editura Politehnica en_US
dc.relation.ispartofseries Journal of Electrical Engineering;Vol 21 No 2
dc.subject FACTS en_US
dc.subject Genetic algorithm en_US
dc.subject Power flow optimum en_US
dc.title A novel Optimal Power Flow study with TCPS [articol] en_US
dc.type Article en_US


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