Loss Minimization by Reconfiguration in Radial Distribution Network using Whale Optimization Technique
Vempalle Rafi1, P.K.Dhal2

1Vempalle Rafi*, Assistant Professor (Adhoc) in Jntuacep, Pulivendula, Kadapa Dist, Andhra Pradesh, India
2P.K.Dhal, Professor in Electrical & Electronics Engineering Department at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai.

Manuscript received on November 15, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 1746-1751 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6839129219/2019©BEIESP | DOI: 10.35940/ijitee.B6839.129219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper provides a new approach for solving the problem of network reconfiguration in the presence of Whale Optimization Algorithm (WOA). It is aimed at reducing actual power loss and enlightening the voltage profile in the supply system. The voltage and branch current capacity constraints have been included in the objective function evaluation. The method has been evaluated at three separate heuristic algorithms on 33-bus radial distribution systems to demonstrate the performance and effectiveness of the proposed method. In this paper the comparison of performance of two latest optimization techniques such as Whale Optimization Algorithm (WOA) with classic optimization techniques such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The new optimization technique produces better result compare to other two optimization logarithm.
Keywords: Whale Optimization, Particle Optimization, Genetic Algorithm, Distribution System.
Scope of the Article: Discrete Optimization