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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 ‘‘Biogeography Based Optimization’’ is designed. The design investigates, some planning issues for the priority of reconfiguration and capacitor placement problems in power distribution networks are based on Biogeography based Optimization. The BBO algorithm was developed by simulating the theory of island biogeography, which describes the extinction and migration of a species between islands. In the BBO algorithm, the island term is defined as an isolated area for species. The two main indices called the habitat suitability index (HSI) and suitability index variables (SIVs), control the extinction and migrations. The HSI describes the suitability of the habitats for life. Habitats with a high HSI provide good living standards for the species, which are related to the value of the objective function. These habitats have a low immigration rate and high emigration rate since they are already nearly saturated. 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
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: Biogeography-Based Optimization Algorithm for Designing of Planar Steel Frames
Author’s Name: Osman TUNCA and Serdar ÇARBAŞ
Source: International Journal of Intelligent Systems and Applications in Engineering
Year:2016
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