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:2013Request source code for academic purpose, fill REQUEST FORM or contact +91 7904568456 by WhatsApp or sales@verilogcourseteam.com, fee applicable. SIMULATION VIDEO DEMO

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