학술논문
Dynamic Optimization of Switching States of an Hybrid Power Network
Document Type
Article
Author
Source
(2022): 2468-2478.
Subject
Language
Korean
ISSN
15986446
Abstract
This paper presents the quality improvement of electric power and the optimization of the switching transient states. We have used a hybrid power generating network by combining the AHP (Hierarchical Process Analysis) and SASV (Automated Variable Structured Automation Systems) methods. This combination revisits the interest of the use of decision support methods in the management of the problem of source switching instants in a hybrid network. The results ensure not only optimal control, supervision, but also a considerable reduction in the repetitive switching that exists in such network and which is detrimental to sensitive loads; because it is perceived as power micro-interruptions. All data collected from different sources (photovoltaic field, battery, generator set and public electricity network), the models of this network and interconexion of different buses are presented.
This paper presents the quality improvement of electric power and the optimization of the switching transient states. We have used a hybrid power generating network by combining the AHP (Hierarchical Process Analysis) and SASV (Automated Variable Structured Automation Systems) methods. This combination revisits the interest of the use of decision support methods in the management of the problem of source switching instants in a hybrid network. The results ensure not only optimal control, supervision, but also a considerable reduction in the repetitive switching that exists in such network and which is detrimental to sensitive loads; because it is perceived as power micro-interruptions. All data collected from different sources (photovoltaic field, battery, generator set and public electricity network), the models of this network and interconexion of different buses are presented.
This paper presents the quality improvement of electric power and the optimization of the switching transient states. We have used a hybrid power generating network by combining the AHP (Hierarchical Process Analysis) and SASV (Automated Variable Structured Automation Systems) methods. This combination revisits the interest of the use of decision support methods in the management of the problem of source switching instants in a hybrid network. The results ensure not only optimal control, supervision, but also a considerable reduction in the repetitive switching that exists in such network and which is detrimental to sensitive loads; because it is perceived as power micro-interruptions. All data collected from different sources (photovoltaic field, battery, generator set and public electricity network), the models of this network and interconexion of different buses are presented.