10.1007/s40095-014-0073-9

Optimal reconfiguration and capacitor placement for power loss reduction of distribution system using improved binary particle swarm optimization

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  • Mostafa Sedighizadeh*1,
  • Marzieh Dakhem2,
  • Mohammad Sarvi2,
  • Hadi Hosseini Kordkheili3,
  1. Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, G.C, 1983963113, IR
  2. Faculty of Engineering and Technology, Imam Khomeini International University, Qazvin, 1681834149, IR
  3. School of Electrical, Electronics and Robotics Engineering, Shahrood University of Technology, Shahrood, 3619995161, IR Mazandaran Electric Distribution Co, Sari, 4816669535, IR
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Published in Issue 2014-01-02

How to Cite

Sedighizadeh, M., Dakhem, M., Sarvi, M., & Kordkheili, H. H. (2014). Optimal reconfiguration and capacitor placement for power loss reduction of distribution system using improved binary particle swarm optimization. International Journal of Energy and Environmental Engineering, 5(1 (April 2014). https://doi.org/10.1007/s40095-014-0073-9
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Abstract

Abstract 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. It is needed to solve two nonlinear discrete optimization problems simultaneously, so an intelligent algorithm is used to reach an optimum solution for network power losses. An effective method and a new optimization algorithm using ‘improved binary PSO’ is presented and discussed to minimize power losses in distribution network by simultaneous network reconfiguration and capacitor placement. The proposed model uses binary strings which represent the state of the network switches and capacitors. 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, and the effectiveness of the proposed technique is also demonstrated with improvements in power loss reduction compared to other previously researched methods, through MATLAB under steady-state conditions.

Keywords

  • Optimal capacitor placement,
  • Optimal reconfiguration,
  • Power loss reduction,
  • Power distribution network,
  • Improved binary particle swarm optimization
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