Nombre: NELSON HENRIQUE BERTOLLO SANTANA
Tipo: MSc dissertation
Fecha de publicación: 05/07/2018
Supervisor:
Nombre |
Rol |
|---|---|
| WANDERLEY CARDOSO CELESTE | Advisor * |
Junta de examinadores:
| Nombre |
Rol |
|---|---|
| CLAINER BRAVIN DONADEL | External Examiner * |
| DANIEL JOSÉ CUSTODIO COURA | Internal Examiner * |
| FLÁVIO DUARTE COUTO OLIVEIRA | Co advisor * |
| HELDER ROBERTO DE OLIVEIRA ROCHA | External Examiner * |
| WANDERLEY CARDOSO CELESTE | Advisor * |
Resumen: The increment in utilization of non-linear loads by the grid users is a phenomenon that
has begun in the middle of 20th century and has increased year after year. That kind
of load has as main feature the harmonic current emissions due to its energy conversion
process, which causes many nocive eects in the grid, like conductors and transformers
heating, equipment malfunctioning, including the protection ones, among others. In the
range of available alternatives to overcome the harmonics problem, the active power lters
are a good choice, due to its good operational performance, specially for low order
harmonics. In this context, many control techniques have been developed for these kind
of lters operation, as hysteresis control, deadbeat control and the linear current control
techniques, like PI-SRF, P-MRI and P-SSI. The last ones have the advantage of operating
with well dened switching frequency and independence of the correct system parameters
information to its good performance. However, the tunning of the controllers is a relevant
problem to its utilization. Thus, this work proposes the utilization of otimization
algorithms for the controllers tunning of two dierent control techniques: PI-SRF and
P-SSI. To this end, two dierents metaheuristics, MOPSO and MOABC, were used so it
may be possible to compare the performance of each one for tunning each technique. The
results shown the superiority of MOPSO, achieving 17% better results and spending 50%
less computacional time when compared to MOABC. The best parameters were used in a
gain scheduling simulation, wich reduced the source THD to 1.00% with a 20.19% THD
connected load.
