Lalit Kumar
Transmission Congestion Mitigation with Series Controller FACTS
Buch
Transmission congestion is a serious issue in transmission networks. In the PSAT MATLAB environment, this article suggested an NR (Newton Rapshon) based algorithm for tackling transmission congestion problems.NR based evolutionary technique is used for optimum co-ordination of series controllers with imaginary power sources present in transmission network. In this article author evaluate voltage stability, real power loss reduction, and running cost by using power flow. Transmission loss magnifies the total system running cost. It also manages the improvement of VAR power because its optimization is a huge problem in transmission system. The…
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Beschreibung
Transmission congestion is a serious issue in transmission networks. In the PSAT MATLAB environment, this article suggested an NR (Newton Rapshon) based algorithm for tackling transmission congestion problems.NR based evolutionary technique is used for optimum co-ordination of series controllers with imaginary power sources present in transmission network. In this article author evaluate voltage stability, real power loss reduction, and running cost by using power flow. Transmission loss magnifies the total system running cost. It also manages the improvement of VAR power because its optimization is a huge problem in transmission system. The PV curve provides a voltage collapse point and finds the location of weak bus. TCSC (Thyristor controlled series capacitors) and SSSC (static synchronous series compensator) are used for congestion management issue in IEEE-14, 30, 57 bus system. The comparative results between TCSC and SSSC are presented in this work. From obtained result, it is observed that SSSC yields superior results when compared to TCSC in phrase of real power loss and running cost.
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Produktdetails
Weitere Autoren: Kumar, Sanjay
- ISBN: 978-620-4-20599-1
- EAN: 9786204205991
- Produktnummer: 37737643
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 72 S.
- Masse: H22.0 cm x B15.0 cm x D0.4 cm 125 g
- Abbildungen: Paperback
- Gewicht: 125
Über den Autor
Lalit Kumar has completed his B.Tech. from AKTU, Lucknow in Computer Science & Engineering (2017). He has done his M.Tech. from KNIT, Sultanpur in Computer Science & Engineering (2019). He is currently pursuing his Ph.D. from MNNIT Allahabad. His research interest includes Data and Information Security, Computer Vision, AI, and Machine Learning.
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