Optimum Location and Sizing of DG with Network Reconfiguration in Distribution System
R. Rajesh1, K.Elango2, S. Rajanbabu3

1R.Rajesh*, M.E, Power system Engineering, SRM Valliammai Engineering College Chennai, India.
2K.Elango, Head of the Department, SRM Valliammai Engineering College, Chennai, India.
3S.Rajanbabu, Assistant Professor, Electrical and Electronics Engineering Department, SRM Valliammai Engineering College, Chennai, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on April 01 2020. | Manuscript published on April 10, 2020. | PP: 195-200 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3542049620/2020©BEIESP | DOI: 10.35940/ijitee.F3542.049620
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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: A new technique for energy loss reduction for distribution networks is obtainable. It is based on network reconfigurationand algorithms for radial network study. A method for the reconfiguration of distribution system with Distributed Generation (DG) since consistency and power loss is suggested. in this paper below ordinary working situations. Primarily a BPSO algorithm based tie-switches location is conceded out at end nodes taking physical limitations and then preceded by fixing and sizing of DG at the tie-switches location using FBS optimization method. Before reconfiguration, tie switch will be in open situation. Reliability at load points is calculated using load flow analysis. Energetic coding is used for discovery the minimal shortcut path from resource to the load. A discover algorithm has been formulate for the network reconfiguration difficulty, since tie-switch and DGs for loss minimization and reliability to improve the load necessity, power stability equations and voltage parameters. The planned approach has been tested on IEEE 33-node radial distribution Networks systems. 
Keywords: Distribution Automation, Radial Network, Network Reconfiguration and Loss Minimization.
Scope of the Article: Mobile System Validation and Test Automation