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 -