Distribution System Reconfiguration for Loss Minimization and Voltage Profile Enhancement by using Discrete – Improved Binary Particle Swarm Optimization Algorithm
S. G. Kamble1, K. Vadirajacharya2, U.V. Patil3

1S. G. Kamble, Dr. BATU, Lonere, Raigad (Maharashtra), India.
2K. Vadirajacharya, Dr. Lonere, Raigad (Maharashtra), India.
3U. V. Patil, Government College of Engineering, Karad (Maharashtra), India.
Manuscript received on 12 October 2019 | Revised Manuscript received on 21 October 2019 | Manuscript Published on 02 November 2019 | PP: 900-906 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B11480982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1148.0982S1119
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© 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: Distribution system reconfiguration is done by altering the open / close position of two kinds of switches: usually open tie switches and sectionalizing switches usually closed. Its main purpose is restoration of supply via other route to improve reliability, sometimes for load balancing by relieving overloads. Feeder reconfiguration is very good alternative to reduce power losses and improve voltage profile to improve overall performance. Distribution system reconfiguration is a very cost effective way to reduce the distribution system power losses, enhance voltage profile and system reliability. This paper presents application of novel Discrete – improved binary particle swarm optimization (D-IBPSO) algorithm for distribution system reconfiguration for minimization of real power loss and improvement of voltage profile. The algorithm is implemented to a 16-bus, 33-bus system and a 69-bus system considering different loading conditions. The simulation results indicate that the suggested technique can accomplish optimal reconfiguration and significantly reduce power losses on the supply scheme and enhance the voltage profile.
Keywords: D-IBPSO, Distribution System Optimization, Loss Minimization, Network Reconfiguration.
Scope of the Article: Swarm Intelligence