Use of Ant colony search Algorithm in Radial Distribution System

Authors

  • Sunil Maheshwari Electrical Engineering Department,Shri Labhubhai Trivedi Institute of Engineering and Technology-Rajkot
  • Dhaval Khunt Electronic and Communication Engineering Department,Shri Labhubhai Trivedi Institute of Engineering and Technology-Rajkot
  • Krishna Dave Electrical Engineering Department,Shri Labhubhai Trivedi Institute of Engineering and Technology-Rajkot

Keywords:

Transmission Line, Transformer, Bus Bars, Domestic load, Capacitor Bank

Abstract

This thesis aims to study distribution system operations by the ant colony search algorithm (ACSA). The
objective of this study is to present new algorithms for solving the maximizing profit problem. . The ACSA is a
relatively new and powerful swarm intelligence method for solving optimization problems. These algorithms can be
defined in two categories: deterministic and non-deterministic algorithms. Deterministic algorithms usually have set
execution schedules and are fairly exhaustive search methods. Non-deterministic algorithms use randomness and
prove useful for problems where it may not be possible to execute a deterministic algorithm, aims to the behaviors of
real ant colonies to solve real-world optimization problems e to the size. In this paper, MATLAB based algorithm is
used to generate the Optimization results and correct placement of Capacitors and also describe various application of
this theorem.

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Published

2016-12-31

How to Cite

Sunil Maheshwari, Dhaval Khunt, & Krishna Dave. (2016). Use of Ant colony search Algorithm in Radial Distribution System. International Journal of Advance Research in Engineering, Science & Technology, 3(13), -. Retrieved from https://ijarest.org/index.php/ijarest/article/view/2021

Issue

Vol. 3 No. 13 (2016): International Conference On "Innovative Trends In Electrical And Computer Engineering (ITECE-2016) Organized by Shri Labhubhai Trivedi Institute of Engineering & Technology, Rajkot

Section

Articles