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Optimal capacitor placement and sizing in radial distribution system using an improved Particle Swarm Optimization algorithm | IEEE Conference Publication | IEEE Xplore

Optimal capacitor placement and sizing in radial distribution system using an improved Particle Swarm Optimization algorithm


Abstract:

Locate and determine the optimal capacity shunt capacitors in to reduce power losses and improve voltage profile and use the maximum capacity of transmission lines, one o...Show More

Abstract:

Locate and determine the optimal capacity shunt capacitors in to reduce power losses and improve voltage profile and use the maximum capacity of transmission lines, one of the common problems in the design and control of power systems. Shunt capacitors are used to power loss reduction and improving voltage profile in order to utilize maximum capacity of transfer lines. This paper proposed a novel method, Improved Particle Swarm Optimization (IPSO), to placement capacitor in radial distribution systems. This approach has used a combination of shuffled Frog-leaping algorithm (SFLA) and particle swarm algorithm (PSO). The objective function is combination of the power losses cost and the cost of installing capacitors, to determine the location and optimal size of capacitors and constraint including minimum and maximum voltage limitations. The simulation applied on a 34-bus distribution network, and compared with existing methods. The effectiveness of the suggested approach is in power losses and total cost reduction as well.
Date of Conference: 26-27 April 2016
Date Added to IEEE Xplore: 18 July 2016
ISBN Information:
Conference Location: Karaj, Iran

I. Introduction

Studies indicate that about 13% of the generated powers in the power system are wasted in distribution networks. Because most system components including electrical loads consume reactive power, reactive currents percent of these losses to allocated. By increasing the flow of reactive loads, system Losses also increasing. One of the most common methods for solving this problem is to use shunt capacitors. By using shunt capacitors, improve the voltage profile and reduce system losses. In addition by compensation of consuming reactive current, release the capacity of lines and increase active power transfer capability [1]. Determine the location and optimal sizing of capacitors can be obtained by solving an optimization problem. Nowadays in solving different optimization problems, often innovative and intelligent methods have been used. The following are some examples of the optimization techniques which are used in solving problem of optimal capacitor placement in the distribution network.

References

References is not available for this document.