A Comprehensive Analysis of Various Optimization Algorithm Approaches for Efficiently Handling Congestion in Transmission Networks

Authors

  • Gajendrakumar R. Patel Ph.D Research Scholar Electrical Engineering Indus Institute of Technology and Engineering, Indus University, Ahmedabad
  • Sweta J. Shah Asst. Prof. – Electrical Engineering Department OSD Research Development & Innovation, Indus Institute of Technology and Engineering, Indus University, Ahmedabad

Keywords:

Congestion Management, crow search Algorithm, whale optimal Algorithm, Optimization

Abstract

Congestion management is a critical issue in the process of deregulated power structure. This articles suggest a comparison of different methodologies for a Traffic Management speak to, specifically focusing on the best true power adjourn of power structure generators. The selection of the most acute generators to endure in Traffic Management is based on the Generator Sensitivity Factors (GSF). To minimize congestion costs, an Updated Whale Optimization Algorithm (UWOA) has been developed. The proposed methodology has two main objectives. Firstly, it aims to solve congestion problems in power systems using a differential method, such as the Differential Evolution Algorithm (DE), Crow Search Algorithm (CSA), Genetic Algorithm (GA), Whale Optimal Algorithm (WOA), Modified Whale Optimal Algorithm (MWOA), and Updated Whale Optimal Algorithm (UWOA). Secondly, it aims to compare the congestion cost results achieved by various methods for the IEEE 118-bus structure. The findings indicate that the reworking of UWOA stint Traffic Management charge surpasses the different ways utilized for Traffic Management.

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Published

24.03.2024

How to Cite

Patel, G. R. ., & Shah, S. J. . (2024). A Comprehensive Analysis of Various Optimization Algorithm Approaches for Efficiently Handling Congestion in Transmission Networks. International Journal of Intelligent Systems and Applications in Engineering, 12(3), 297–305. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5252

Issue

Vol. 12 No. 3 (2024)

Section

Research Article

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