Improvement of the Voltage Profile and Loss Reduction in Distribution Network Using Moth Flame Algorithm: Wolaita Sodo, Ethiopia

Author:

Balakumar S.1ORCID,Getahun Akililu1,Kefale Samuel1,Kumar K. Ramash2

Affiliation:

1. Faculty of Electrical and Computer Engineering, Arba Minch University, Arba Minch-21, Ethiopia

2. Department of Electrical and Electronics Engineering, Dr.N.G.P. Institute of Technology, Coimbatore-48, Tamilnadu, India

Abstract

Voltage stability and line losses are inevitable issues even in modern power systems. There are several techniques that emerged to solve problems in the power system to provide quality and uninterrupted supply to customers. The algorithms used in this paper to determine the appropriate location and size of the Static Var Compensator (SVC) in the Distribution Network (DN) are Moth Flame Optimization (MFO) and Particle Swarm Optimization (PSO). The objective function is defined to minimize voltage deviation and power loss. The burning problem of voltage stability improvement current scenario is because of a rise in electricity demands in all sectors. Paramount duties of power engineers are to keep the system stable and maintain voltage magnitude constant even during peak hours. The results were checked with the aid of MATLAB on Wolaita Sodo radial distribution of 34 bus data networks. The potential use of SVC is key to solve distribution system power quality issues and estimating the advantage of the installation. The results obtained from the test system were compared with PSO results. This comparison was done to know the computational time of proposed techniques. The performance of the MFA based SVC was superior in distribution system and highlighted the importance of device.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,General Computer Science,Signal Processing

Reference13 articles.

1. Voltage stability enhancement based on voltage stability indices using FACTS controllers;M. A. Jirjees

2. Voltage stability analysis using reactive power loading as indicator and its improvement by FACTS devices;G. Deb

3. Minimization of power losses in distribution system with variation in loads using adaptive quantum inspired evolutionary algorithm;G. Manikanta

4. Placement of UPFC for minimizing active power loss and total cost function by PSO algorithm;A. R. Bhowmik

5. Moth-flame optimization algorithm for solving real challenging constrained engineering optimization problems;N. Jangir

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