Multiobjective optimal TCSC placement using multiobjective grey wolf optimizer for power losses reduction

This study investigates the application of the multiobjective grey wolf optimizer (MOGWO) for optimal placement of thyristor-controlled series compensator (TCSC) to minimize power loss in power systems. Two conflicting objectives are considered: (1) minimizing real and reactive power loss, and (2) minimizing real power loss and TCSC capital cost. The Pareto-optimal method is employed to generate the Pareto front for these objectives. The fuzzy set technique is used to identify the optimal trade-off solution, while the technique for order preference by similarity to the ideal solution suggests multiple optimal solutions catering to diverse utility preferences. Simulations on an IEEE 30 bus test system demonstrate the effectiveness of TCSC placement for power loss minimization using MOGWO. The superiority of MOGWO is confirmed by comparing its results with those obtained from a multiobjective particle swarm optimization algorithm. These findings can assist power system utilities in identifying optimal TCSC locations to maximize their performance.

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Publication Details

Journal
Scientific Reports
Published
2024-09-19
DOI
https://doi.org/10.1038/s41598-024-72124-5
Citations
19
Primary Topic
Low-power high-performance VLSI design
Type
article
Field-Weighted Citation Impact
3.96

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article

Multiobjective optimal TCSC placement using multiobjective grey wolf optimizer for power losses reduction

Ramakrishna S S Nuvvula, Baseem Khan, Nartu Tejeswara Rao, A Mutharasan et al.
19 citations
Scientific Reports
Low-power high-performance VLSI design
3.96
article

Multiobjective optimal TCSC placement using multiobjective grey wolf optimizer for power losses reduction

Ramakrishna S S Nuvvula, Baseem Khan, Nartu Tejeswara Rao, A Mutharasan, C. Dhanamjayulu, Polamarasetty P Kumar, Kalyana Kiran Kumar, Mohammed Rafi Shaik
article en
19 citations

Abstract

This study investigates the application of the multiobjective grey wolf optimizer (MOGWO) for optimal placement of thyristor-controlled series compensator (TCSC) to minimize power loss in power systems. Two conflicting objectives are considered: (1) minimizing real and reactive power loss, and (2) minimizing real power loss and TCSC capital cost. The Pareto-optimal method is employed to generate the Pareto front for these objectives. The fuzzy set technique is used to identify the optimal trade-off solution, while the technique for order preference by similarity to the ideal solution suggests multiple optimal solutions catering to diverse utility preferences. Simulations on an IEEE 30 bus test system demonstrate the effectiveness of TCSC placement for power loss minimization using MOGWO. The superiority of MOGWO is confirmed by comparing its results with those obtained from a multiobjective particle swarm optimization algorithm. These findings can assist power system utilities in identifying optimal TCSC locations to maximize their performance.

Scientific ReportsVol. 14(1)
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Nitte University (IN), Hawassa University (ET), King Saud University (SA), Western Caspian University (AZ), Aditya Birla (India) (IN), Zhejiang University (CN), Vellore Institute of Technology University (IN)
King Saud University
Affordable and clean energy
Openalex Percentile: Top 6%
Low-power high-performance VLSI design
3.96
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