A BBO/PSO based Hybrid Technique for Distribution System Feeder Reconfiguration
Kothuri Ramakrishna1, Basavaraja Banakara2

1Kothuri Ramakrishna*, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Hyderabad, Telangana.
2Basavaraja Banakara, Professor E & E, Registrar Evaluation, Davanagere University, Davangere, Karnataka.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 1156-1159 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B3918129219/2020©BEIESP | DOI: 10.35940/ijeat.B3918.129219
Open Access | Ethics and Policies | Cite | Mendeley
© 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 cooperative strategy to reconfigure the feeder network by maximizing the location and volume of the distribution generator (DG) in the power system was addressed in this report. The new feature of the proposed method is the integrated output of the Biography Based Optimization (BBO) and PSO techniques. The above methods are the optimization techniques used to configure the radial distribution system for the optimal position and capacities of the DG. For determining the optimum position and strength of the DG, the BBO algorithm includes radial distribution network voltage, actual and reactive energy. The input parameters of BBO are classified into sub settings here and are allowed as the optimization of the PSO algorithm. The PSO synthesizes the problem and uses sub-parameters to create the sub-solution. The method of BBO migration and mutation is used to determine the optimal position and ability of DG for the sub solution of PSO. The cooperative strategy introduced is then applied on the system MATLAB / Simulink, and the usefulness is evaluated using BBO and PSO techniques. The findings of the analysis demonstrate the strength of the solution suggested and affirm its capacity for resolving the problem.
Keywords: PSO, BBO, DG, Feeder.