### Resumen

Photovoltaic energy systems are one of the most widely adopted distributed generation facilities. This book chapter presents predictive based current and voltage control strategies for four-leg converters employed in grid-connected and standalone photovoltaic energy systems, respectively. The proposed approach employs the novel stationary frame sampled-data models of the four-leg converters with inductive (L) and inductive-capacitive (LC) filters on the output side to predict the control variables such as output currents and load voltages. These predictions are performed using all the possible switching states of four-leg converters. The objective of minimizing the error between reference and predicted variables (load currents or voltages) is fulfilled through a cost function in the predictive control schemes. In addition, the voltage balancing of DC-bus capacitors is considered with the four-leg neutral-point clamped converters. The optimal switching states corresponding to the minimal cost function value are chosen and directly applied to the converter. The predictive control strategies fulfil the control requirements such as load cur-rent/voltage control, DC-bus voltage balancing, and neutral-leg switching frequency minimization. The simulation and experimental studies conducted using unbalanced and nonlinear loads to validate the proposed predictive control strategies.

Idioma original | English |
---|---|

Título de la publicación alojada | Power Systems |

Editorial | Springer Verlag |

Páginas | 45-69 |

Número de páginas | 25 |

DOI | |

Estado | Published - 1 ene 2019 |

### Serie de la publicación

Nombre | Power Systems |
---|---|

ISSN (versión impresa) | 1612-1287 |

ISSN (versión digital) | 1860-4676 |

### Huella dactilar

### ASJC Scopus subject areas

- Energy Engineering and Power Technology
- Electrical and Electronic Engineering

### Citar esto

*Power Systems*(pp. 45-69). (Power Systems). Springer Verlag. https://doi.org/10.1007/978-981-13-6151-7_3

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*Power Systems.*Power Systems, Springer Verlag, pp. 45-69. https://doi.org/10.1007/978-981-13-6151-7_3

**Predictive control of four-leg converters for photovoltaic energy systems.** / Yaramasu, Venkata; Rivera, Marco; Dekka, Apparao; Rodriguez, Jose.

Resultado de la investigación: Chapter

TY - CHAP

T1 - Predictive control of four-leg converters for photovoltaic energy systems

AU - Yaramasu, Venkata

AU - Rivera, Marco

AU - Dekka, Apparao

AU - Rodriguez, Jose

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Photovoltaic energy systems are one of the most widely adopted distributed generation facilities. This book chapter presents predictive based current and voltage control strategies for four-leg converters employed in grid-connected and standalone photovoltaic energy systems, respectively. The proposed approach employs the novel stationary frame sampled-data models of the four-leg converters with inductive (L) and inductive-capacitive (LC) filters on the output side to predict the control variables such as output currents and load voltages. These predictions are performed using all the possible switching states of four-leg converters. The objective of minimizing the error between reference and predicted variables (load currents or voltages) is fulfilled through a cost function in the predictive control schemes. In addition, the voltage balancing of DC-bus capacitors is considered with the four-leg neutral-point clamped converters. The optimal switching states corresponding to the minimal cost function value are chosen and directly applied to the converter. The predictive control strategies fulfil the control requirements such as load cur-rent/voltage control, DC-bus voltage balancing, and neutral-leg switching frequency minimization. The simulation and experimental studies conducted using unbalanced and nonlinear loads to validate the proposed predictive control strategies.

AB - Photovoltaic energy systems are one of the most widely adopted distributed generation facilities. This book chapter presents predictive based current and voltage control strategies for four-leg converters employed in grid-connected and standalone photovoltaic energy systems, respectively. The proposed approach employs the novel stationary frame sampled-data models of the four-leg converters with inductive (L) and inductive-capacitive (LC) filters on the output side to predict the control variables such as output currents and load voltages. These predictions are performed using all the possible switching states of four-leg converters. The objective of minimizing the error between reference and predicted variables (load currents or voltages) is fulfilled through a cost function in the predictive control schemes. In addition, the voltage balancing of DC-bus capacitors is considered with the four-leg neutral-point clamped converters. The optimal switching states corresponding to the minimal cost function value are chosen and directly applied to the converter. The predictive control strategies fulfil the control requirements such as load cur-rent/voltage control, DC-bus voltage balancing, and neutral-leg switching frequency minimization. The simulation and experimental studies conducted using unbalanced and nonlinear loads to validate the proposed predictive control strategies.

UR - http://www.scopus.com/inward/record.url?scp=85062267613&partnerID=8YFLogxK

U2 - 10.1007/978-981-13-6151-7_3

DO - 10.1007/978-981-13-6151-7_3

M3 - Chapter

T3 - Power Systems

SP - 45

EP - 69

BT - Power Systems

PB - Springer Verlag

ER -