Congestion management in deregulated power system using adaptive moth swarm optimization

Abstract

Purpose

The purpose of this paper is to enhance the line congestion and to minimize power loss. Transmission line congestion is considered the most acute trouble during the operation of the power system. Therefore, congestion management acts as an effective tool in using the available power without breaking the system hindrances or limitations.

Design/methodology/approach

Over the past few years, determining the optimal location and size of the devices have pinched a great deal of consideration. Numerous approaches have been established to mitigate the congestion rate, and this paper aims to enhance the line congestion and minimize power loss by determining the compensation rate and optimal location of a thyristor-switched capacitor (TCSC) using adaptive moth swarm optimization (AMSO) algorithm.

Findings

An AMSO algorithm uses the performances of moth flame and the chaotic local search-based shrinking scheme of the bacterial foraging optimization algorithm. The proposed AMSO approach is executed and discussed for the IEEE-30 bus system for determining the optimal location of single TCSC and dual TCSC.

Originality/value

In addition to this, the proposed algorithm is compared with various other existing approaches, and the results thus obtained provide better performances than other techniques.

Citation

Ramaporselvi, R. and Geetha, G. (2022), "Congestion management in deregulated power system using adaptive moth swarm optimization", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 41 No. 1, pp. 334-356. https://doi.org/10.1108/COMPEL-06-2021-0198