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

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

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Article number21857
JournalScientific Reports
Volume14
Issue number1
DOIs
Publication statusPublished - Dec 2024
Externally publishedYes

Keywords

  • FACTS
  • Multiobjective grey wolf optimizer
  • Pareto-optimal technique
  • TOPSIS
  • Thyristor controlled series compensator

ASJC Scopus subject areas

  • Multidisciplinary

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