OPTIMAL RECONFIGURATION AND CAPACITOR PLACEMENT FOR POWER LOSS REDUCTION USING DOLPHIN ECHOLOCATION OPTIMIZATION ALGORITHM

    Optimal reconfiguration and placement are used to reduce power losses and keep the voltage within its allowable interval in power distribution systems considering voltage, current, and radial condition constraints. An effective method and a new algorithm using ‘‘Dolphin Echolocation Optimization" are designed.  This algorithm simulates dolphin echolocation by limiting its exploration proportional to the distance from the target. For making the relationship much clear, consider an optimization problem. Two phases can be identified: In the first phase the algorithm explores all around the search space to perform a global search, therefore it should look for unexplored regions. This task is carried out by exploring some random locations in the search space, and in the second phase, it concentrates on an investigation around better results achieved from the previous stage.  The algorithm is applied and tested on 16,33,69,118 and 119 bus IEEE test systems to find the optimum configuration of the network with regard to power losses. Five different cases are considered as mentioned below, and the effectiveness of the proposed technique is also demonstrated with improvements in power loss reduction, through MATLAB under steady-state conditions.
Case #1. Only network reconfiguration;
Case #2. Only capacitor placement;
Case #3. First, network reconfiguration and then capacitor placement
Case #4. First, capacitor placement and then network reconfiguration;
Case #5. Network reconfiguration and optimal capacitor placement, simultaneously;

Reference Paper-1: Optimal reconfiguration and capacitor placement for power loss reduction of a distribution system using improved binary particle swarm optimization
Author’s Name: Mostafa Sedighizadeh. Marzieh Dakhem. Mohammad Sarvi and Hadi Hosseini Kordkheili
Source: Int J Energy Environ Eng
Year:2014
Reference Paper-2: Reconfiguration and optimal capacitor placement for losses reduction
Author’s Name: Diana P. Montoya and Juan M. Ramirez
Source: IEEE
Year:2012
Reference Paper-3: A new optimization method: Dolphin echolocation
Author’s Name: A. Kaveh and, N. Farhoudi
Source: Elsevier
Year:2013

Request source code for academic purpose, fill REQUEST FORM or contact +91 7904568456 by WhatsApp or sales@verilogcourseteam.com, fee applicable.

SIMULATION VIDEO DEMO                                                                                                                        

                                                                                            


PREVIOUS PAGE|NEXT PAGE