Hybrid Controller Based on LQR Applied to Interleaved Boost Converter and Microgrids under Power Quality Events
Renewable energy sources are an environmentally attractive idea, but they require a proper control scheme to guarantee optimal operation. In this work, we tune different controllers for an Interleaved Boost Converter (IBC) powered by a photovoltaic array using three metaheuristics: Genetic Algorithm...
Guardado en:
Autores principales: | , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/76e2ef084f9548f1952b55cbf1d9ac48 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:76e2ef084f9548f1952b55cbf1d9ac48 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:76e2ef084f9548f1952b55cbf1d9ac482021-11-11T15:44:46ZHybrid Controller Based on LQR Applied to Interleaved Boost Converter and Microgrids under Power Quality Events10.3390/en142169091996-1073https://doaj.org/article/76e2ef084f9548f1952b55cbf1d9ac482021-10-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/6909https://doaj.org/toc/1996-1073Renewable energy sources are an environmentally attractive idea, but they require a proper control scheme to guarantee optimal operation. In this work, we tune different controllers for an Interleaved Boost Converter (IBC) powered by a photovoltaic array using three metaheuristics: Genetic Algorithm, Particle Swarm Optimization, and Gray Wolf Optimization. We also develop several controllers for a second simulated scenario where the IBC is plugged into an existing microgrid (MG) as this can provide relevant data for real-life applications. In both cases, we consider hybrid controllers based on a Linear Quadratic Regulator (LQR). However, we hybridize it with an Integral action (I-LQR) in the first scenario to compare our data against previously published controllers. In the second one, we add a Proportional-Integral technique (PI-LQR) as we do not have previous data to compare against to provide a more robust controller than I-LQR. To validate our approach, we run extensive simulations with each metaheuristic and compare the resulting data. We focus on two fronts: the performance of the controllers and the computing cost of the solvers when facing practical issues. Our results demonstrate that the approach proposed for tuning controllers is a feasible strategy. The controllers tuned with the metaheuristics outperformed previously proposed strategies, yielding solutions thrice faster with virtually no overshoot and a voltage ripple seven times smaller. Not only this, but our controllers could correct some issues liaised to the IBC when it is plugged into an MG. We are confident that these insights can help migrate this approach to a more diverse set of MGs with different renewable sources and escalate it to real-life experiments.Gerardo Humberto Valencia-RiveraIvan AmayaJorge M. Cruz-DuarteJosé Carlos Ortíz-BaylissJuan Gabriel Avina-CervantesMDPI AGarticlehybrid controlmicrogridInterleaved Boost Convertermetaheuristicpower qualitygrid-tied modeTechnologyTENEnergies, Vol 14, Iss 6909, p 6909 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
hybrid control microgrid Interleaved Boost Converter metaheuristic power quality grid-tied mode Technology T |
spellingShingle |
hybrid control microgrid Interleaved Boost Converter metaheuristic power quality grid-tied mode Technology T Gerardo Humberto Valencia-Rivera Ivan Amaya Jorge M. Cruz-Duarte José Carlos Ortíz-Bayliss Juan Gabriel Avina-Cervantes Hybrid Controller Based on LQR Applied to Interleaved Boost Converter and Microgrids under Power Quality Events |
description |
Renewable energy sources are an environmentally attractive idea, but they require a proper control scheme to guarantee optimal operation. In this work, we tune different controllers for an Interleaved Boost Converter (IBC) powered by a photovoltaic array using three metaheuristics: Genetic Algorithm, Particle Swarm Optimization, and Gray Wolf Optimization. We also develop several controllers for a second simulated scenario where the IBC is plugged into an existing microgrid (MG) as this can provide relevant data for real-life applications. In both cases, we consider hybrid controllers based on a Linear Quadratic Regulator (LQR). However, we hybridize it with an Integral action (I-LQR) in the first scenario to compare our data against previously published controllers. In the second one, we add a Proportional-Integral technique (PI-LQR) as we do not have previous data to compare against to provide a more robust controller than I-LQR. To validate our approach, we run extensive simulations with each metaheuristic and compare the resulting data. We focus on two fronts: the performance of the controllers and the computing cost of the solvers when facing practical issues. Our results demonstrate that the approach proposed for tuning controllers is a feasible strategy. The controllers tuned with the metaheuristics outperformed previously proposed strategies, yielding solutions thrice faster with virtually no overshoot and a voltage ripple seven times smaller. Not only this, but our controllers could correct some issues liaised to the IBC when it is plugged into an MG. We are confident that these insights can help migrate this approach to a more diverse set of MGs with different renewable sources and escalate it to real-life experiments. |
format |
article |
author |
Gerardo Humberto Valencia-Rivera Ivan Amaya Jorge M. Cruz-Duarte José Carlos Ortíz-Bayliss Juan Gabriel Avina-Cervantes |
author_facet |
Gerardo Humberto Valencia-Rivera Ivan Amaya Jorge M. Cruz-Duarte José Carlos Ortíz-Bayliss Juan Gabriel Avina-Cervantes |
author_sort |
Gerardo Humberto Valencia-Rivera |
title |
Hybrid Controller Based on LQR Applied to Interleaved Boost Converter and Microgrids under Power Quality Events |
title_short |
Hybrid Controller Based on LQR Applied to Interleaved Boost Converter and Microgrids under Power Quality Events |
title_full |
Hybrid Controller Based on LQR Applied to Interleaved Boost Converter and Microgrids under Power Quality Events |
title_fullStr |
Hybrid Controller Based on LQR Applied to Interleaved Boost Converter and Microgrids under Power Quality Events |
title_full_unstemmed |
Hybrid Controller Based on LQR Applied to Interleaved Boost Converter and Microgrids under Power Quality Events |
title_sort |
hybrid controller based on lqr applied to interleaved boost converter and microgrids under power quality events |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/76e2ef084f9548f1952b55cbf1d9ac48 |
work_keys_str_mv |
AT gerardohumbertovalenciarivera hybridcontrollerbasedonlqrappliedtointerleavedboostconverterandmicrogridsunderpowerqualityevents AT ivanamaya hybridcontrollerbasedonlqrappliedtointerleavedboostconverterandmicrogridsunderpowerqualityevents AT jorgemcruzduarte hybridcontrollerbasedonlqrappliedtointerleavedboostconverterandmicrogridsunderpowerqualityevents AT josecarlosortizbayliss hybridcontrollerbasedonlqrappliedtointerleavedboostconverterandmicrogridsunderpowerqualityevents AT juangabrielavinacervantes hybridcontrollerbasedonlqrappliedtointerleavedboostconverterandmicrogridsunderpowerqualityevents |
_version_ |
1718434091804655616 |