OPTIMAL RECONFIGURATION AND CAPACITOR PLACEMENT FOR POWER LOSS REDUCTION USING CULTURE OPTIMIZATION ALGORITHM
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 ‘‘Culture’’ is designed. CA is a meta-heuristic method proposed by Reynolds. In CA each individual of the population described in terms of a set of behavioral traits. Traits can be modified by means of socially motivated behavior and individual’s experiences are collected, merged and generalized in the belief space. This belief space is communicated with the future generation, if the future generation’s belief space is better than the previous generation then the belief space is updated, otherwise discarded. 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: Optimal Reconfiguration of Distribution Network Using Modified Culture Algorithm
Author’s Name: Harish Kumar Verma and Priti Singh
Source: Springer
Year:2018
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