TY - JOUR

T1 - Integration of Induction Generator Based Distributed Generation in Power Distribution Networks Using a Discrete Particle Swarm Optimization Algorithm

AU - Musa, Idris

AU - Gadoue, Shady

AU - Zahawi, Bashar

PY - 2016/2/7

Y1 - 2016/2/7

N2 - An induction generator always absorbs lagging reactive power from the power network. In most previous power system optimization studies involving induction generator based distributed generation, this generator reactive power demand is calculated using an approximate empirical formula. In addition, shunt compensation capacitors have not been considered as part of the network optimization study. In this article, the use of the per phase equivalent circuit of the induction generator is proposed to compute its reactive power requirement, thus providing a more accurate estimation. A discrete particle swarm optimization algorithm is then employed to address the problem of simultaneous integration of the induction generators and shunt compensation capacitors. The proposed algorithm has the advantage of being able to cope with a mixed search space optimization problem of integer, discrete, and continuous variables. The study is carried out on a standard 69-bus benchmark distribution network. Results show that the use of the approximate empirical formula leads to an underestimation of the machine reactive power demand. The inclusion of shunt compensation capacitors in the optimization process results in lower network reactive power flows with improved network power losses, improved voltage profile, and increased levels of distributed generation integration.

AB - An induction generator always absorbs lagging reactive power from the power network. In most previous power system optimization studies involving induction generator based distributed generation, this generator reactive power demand is calculated using an approximate empirical formula. In addition, shunt compensation capacitors have not been considered as part of the network optimization study. In this article, the use of the per phase equivalent circuit of the induction generator is proposed to compute its reactive power requirement, thus providing a more accurate estimation. A discrete particle swarm optimization algorithm is then employed to address the problem of simultaneous integration of the induction generators and shunt compensation capacitors. The proposed algorithm has the advantage of being able to cope with a mixed search space optimization problem of integer, discrete, and continuous variables. The study is carried out on a standard 69-bus benchmark distribution network. Results show that the use of the approximate empirical formula leads to an underestimation of the machine reactive power demand. The inclusion of shunt compensation capacitors in the optimization process results in lower network reactive power flows with improved network power losses, improved voltage profile, and increased levels of distributed generation integration.

KW - distributed generation

KW - induction generator

KW - particle swarm optimization

KW - shunt capacitor compensation

KW - voltage optimization

UR - http://www.scopus.com/inward/record.url?scp=84955397240&partnerID=8YFLogxK

UR - https://www.tandfonline.com/doi/full/10.1080/15325008.2015.1110215

U2 - 10.1080/15325008.2015.1110215

DO - 10.1080/15325008.2015.1110215

M3 - Article

AN - SCOPUS:84955397240

VL - 44

SP - 268

EP - 277

JO - Electric Power Components and Systems

JF - Electric Power Components and Systems

SN - 1532-5008

IS - 3

ER -