TY - JOUR

T1 - Optimum location and sizing of capacitor banks using VOLT VAR compensation in micro-grids

AU - Alexander, Aguila Tellez

AU - Gonzalo Manuel, Gutierrez Serna

AU - DIego Luis, Gonzalez Samueza

AU - Leony, Ortiz Matos

N1 - Publisher Copyright:
© 2003-2012 IEEE.

PY - 2020/3/1

Y1 - 2020/3/1

N2 - In this work, a mathematical model called optimization by swarm of particles (PSO), was implemented to optimally solve the location and sizing of capacitor banks in a micro-grid of electrical distribution. The proposed method is based on particle swarm optimization (PSO) and the solution will be obtained with dynamic programming, implementing an algorithm that will be developed entirely in MATLAB. The algorithm calculates the optimal solution satisfying the necessary requirements to guarantee the operation of the electrical system. As a case study, a model of a micro-grid which is typically of 5 bars will be used. However, the algorithm was implemented in a general way and it can respond correctly to multi-bar systems. As a final analysis we made a comparison of the system data without compensating and the compensated system data, highlighting an improvement in the voltage profiles, minimization of the losses in the lines, minimization of the total losses of the system, improvement of the power factor, decrement in the maximum voltage deviation and average voltage deviation, complying with a minimum possible cost restriction criterion.

AB - In this work, a mathematical model called optimization by swarm of particles (PSO), was implemented to optimally solve the location and sizing of capacitor banks in a micro-grid of electrical distribution. The proposed method is based on particle swarm optimization (PSO) and the solution will be obtained with dynamic programming, implementing an algorithm that will be developed entirely in MATLAB. The algorithm calculates the optimal solution satisfying the necessary requirements to guarantee the operation of the electrical system. As a case study, a model of a micro-grid which is typically of 5 bars will be used. However, the algorithm was implemented in a general way and it can respond correctly to multi-bar systems. As a final analysis we made a comparison of the system data without compensating and the compensated system data, highlighting an improvement in the voltage profiles, minimization of the losses in the lines, minimization of the total losses of the system, improvement of the power factor, decrement in the maximum voltage deviation and average voltage deviation, complying with a minimum possible cost restriction criterion.

KW - Capacitor bank

KW - micro-grid

KW - particle swarm optimization

KW - reactive power

KW - voltage profiles

UR - http://www.scopus.com/inward/record.url?scp=85084278463&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/c677c29e-cdb7-3505-92ec-2539ad88abf8/

U2 - 10.1109/TLA.2020.9082717

DO - 10.1109/TLA.2020.9082717

M3 - Article

AN - SCOPUS:85084278463

SN - 1548-0992

VL - 18

SP - 465

EP - 472

JO - Ieee Latin America Transactions

JF - Ieee Latin America Transactions

IS - 3

M1 - 9082717

ER -