Optimal
reconfiguration and capacitor 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
‘‘Grey Wolf Optimization (GWO)Algorithm’’ is designed. The GWO mimics the hunting behavior and the social hierarchy of grey wolves. In addition to the social hierarchy of grey wolves, pack hunting is another appealing societal action of grey wolves. The main segments of GWO are encircling, hunting and attacking the prey. 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: An Improved Grey Wolf Optimizer Based on Differential Evolution and Elimination Mechanism Author’s Name: Jie-Sheng Wang and Shu-Xia Li Source: Scientific Reports Year:2019Request 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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