LUCID PARTICLE SWARM OPTIMIZATION ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER PROBLEM

Authors

  • Dr. K. Lenin Professor, Department of EEE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh -520007, India

DOI:

https://doi.org/10.29121/granthaalayah.v6.i4.2018.1666

Keywords:

Optimal Reactive Power, Transmission Loss, Lucid Particle Swarm Optimization

Abstract [English]

This paper presents, Lucid Particle Swarm Optimization (LPSO) algorithm for Solving Optimal Reactive Power Problem. Particle swarm   method is typically made up of a population of simple agents intermingle locally with one another and with their surroundings, with the aim of locating the optima within the operational environment. In this paper, a robust and Lucid particle swarm optimization framework based on multi-agent system is presented, where learning capabilities are integrated into the particle agents to dynamically fiddle with their optimality behaviours. Self-Sufficiency is achieved by the use of communicators that separate an agent’s individual operation from that of the swarm, thereby making the system more robust. The proposed Lucid Particle Swarm Optimization (LPSO) algorithm has been tested on standard IEEE 118 & practical 191 bus test systems and simulation results show clearly about the premium performance of the proposed algorithm in reducing the real power loss.

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Published

2018-04-30

How to Cite

Lenin, K. (2018). LUCID PARTICLE SWARM OPTIMIZATION ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER PROBLEM. International Journal of Research -GRANTHAALAYAH, 6(4), 312–324. https://doi.org/10.29121/granthaalayah.v6.i4.2018.1666

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