This project is design based on the paper "Optimal reconfiguration and capacitor placement for power loss reduction of a distribution system using IBPSO". 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 optimization algorithm using ‘‘improved binary PSO’’ is designed. The model uses binary strings which represent the state of the network switches and capacitors. The design investigates, some planning issues for the priority of reconfiguration and capacitor placement problems in power distribution networks are based on a newly improved binary PSO (IBPSO) algorithm. The algorithm is used to solve the simultaneous reconfiguration and optimal capacitor placement problem. The IBPSO method employs a different structure for the optimization algorithm (by using logical operators AND, OR, and XOR). The algorithm is applied and tested on 16-and 33-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
Reference Paper-2: Reconfiguration and optimal capacitor placement for losses reduction
Author’s Name: Diana P. Montoya and Juan M. Ramirez
Source: IEEE

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