2015
DOI: 10.17148/ijarcce.2015.41066
|View full text |Cite
|
Sign up to set email alerts
|

Model Predictive Control and Generalized Adaptative PID for Load Sharing In Systems of Multiple Sources of Energy

Abstract: This paper describes the control of the energy transfers in Systems of Multiple Sources of Energy (SMSE). The considered SMSE is a Linear Time Varying (LTV) system in view of the sources and load fluctuations. The proposed control scheme includes DC bus voltage and current regulations loops as well as the automatic adjustment of the power ratio associated with each source. DC bus voltage and current regulations loops are carried out by generalized adaptive PID controllers. The calculation of the power ratios i… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 18 publications
0
1
0
Order By: Relevance
“…To address these issues, the use of renewable energy is an important part of the solution. To this end, several works are proposed in the literature in order to exploit the renewable resource: wind and solar power potential assessment [2], sizing of solar panels and wind turbines [3], control and command [4], energy demand forecasting [5] and available energy forecasting. In this work, we are interested in the last category.…”
Section: Introductionmentioning
confidence: 99%
“…To address these issues, the use of renewable energy is an important part of the solution. To this end, several works are proposed in the literature in order to exploit the renewable resource: wind and solar power potential assessment [2], sizing of solar panels and wind turbines [3], control and command [4], energy demand forecasting [5] and available energy forecasting. In this work, we are interested in the last category.…”
Section: Introductionmentioning
confidence: 99%