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Research Articles

Maximization of System Load-Ability and Voltage Stability Index Using Distribution Based Salp Swarm Optimization

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Pages 29-45 | Received 31 Oct 2020, Accepted 30 Nov 2022, Published online: 19 Dec 2022
 

Abstract

Flexible Alternating Current Transmission Systems (FACTS) play a very prominent role in enhancing the performance of power system networks and in the quality up-gradation of power system by stabilizing the system parameters like voltage deviation, system security, power loss and system load-ability being a few to name. This work therefore handles two of the important performance parameters of a power system network namely power flow which is modeled as the System Load-ability (SL) and voltage profile which is represented as Voltage Stability Index (VSI). In this paper the maximization of VSI and SL of IEEE 30 Bus and 57 Bus networks have been exploited through the optimal placement of Thyristor Controlled Series Capacitor (TCSC), Static VAR Compensator (SVC) and Unified Power Flow Controller (UPFC) in the networks using the proposed and enhanced form of a recently developed meta-heuristic technique named as Salp Swarm Optimization (SSO). The outcomes of the simulations have been scrutinized with an established swarm-based optimization procedure.

ACKNOWLEDGEMENT

The authors extend their gratitude to Prof. J. K. Satapathy with whom the discussion was carried out which led to the idea of applying various distributions into the standard algorithm. Hence the authors are extremely thankful to Prof. Satapathy for the time and effort spent.

Additional information

Notes on contributors

Stita Pragnya Dash

Stita Pragnya Dash is a PhD research scholar in Department of Electrical engineering, National Institute of Technology, Rourkela working on power system networks. She has completed her B.Tech in Electrical Engineering from Veer Surendra Sai University of Technology, Burla and M.E in Power Engineering from Jadavpur University, Kolkata. Her main areas of research are power system stability, optimal power flow, FACTS controllers, artificial intelligence and soft computing.

K. R. Subhashini

K. R. Subhashini has completed her PhD in 2019 from National Institute of technology Rourkela. Currently she is working as an Assistant Professor in Department of Electrical engineering, National Institute of Technology, Rourkela. Her research interests includes RF and microwave, antenna analysis and synthesis, soft computing, application of soft computing to power system.

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