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Modelling of Thyristor Controlled Series Compensator in Fast Decoupled Load Flow Solution for Power Flow Control

Authors: M. Sailaja Kumari; G. Priyanka; M. Sydulu;

Modelling of Thyristor Controlled Series Compensator in Fast Decoupled Load Flow Solution for Power Flow Control

Abstract

Fast decoupled load flow (FDLF) solution has gained wide spread acceptance in power industry, owing to its simplicity and computational efficiency, but very little attention has been paid for implementation of thyristor controlled series compensator (TCSC) models in FDLF solutions. This paper addresses the TCSC model implementation in FDLF solution for power flow control. The TCSC firing angle is taken as the state variable, which is combined with nodal voltage angles of the entire network in a unified iterative process while keeping the matrices B' and B" constant. The feasibility of the proposed approach is demonstrated and the results of the implementation is tested on IEEE 14 and IEEE 30 bus systems for power flow control in specific branches. The results prove the computational efficiency of FDLF over the NRLF models with TCSC and found to be promising.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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