| Title |
Optimal control design for a grid connected PV-Wind-Battery hybrid system feeding residential loads |
| ID_Doc |
42654 |
| Authors |
Chakir, A; Tabaa, M; Moutaouakkil, F; Medromi, H; Alami, K |
| Title |
Optimal control design for a grid connected PV-Wind-Battery hybrid system feeding residential loads |
| Year |
2019 |
| Published |
|
| DOI |
10.1145/3368756.3369027 |
| Abstract |
Most of countries facing its limited energy sources challenge have decided to take the step towards smart grid while relying on distributed generation by the use of hybrid renewable energy system. Besides the development of the design of the hybrid system and its configuration, there is the topic of power management which responds especially to the renewable intermittency issue. Indeed, our work is strongly focused on optimal energy management for residential loads; which plays a very important role for smart houses that will be the basis of a smart city in the near future. To do so, a PV-Wind-Battery hybrid system is taken as a primary source enabling the house to satisfy its own energy needs while considering the grid only as a storage facility with infinite capacity. To connect the energy sources cited above, a hybrid architecture is proposed, and the different electrical switches mentioned on it are efficiently conducted by our proposed energy management system. The results showed that the autonomy of the system is ensured by injecting the surplus energy during the day and recovering it at night. |
| Author Keywords |
Smart grid; distributed generator; hybrid system; renewable energy; hybrid architecture; energy management system |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000526374200047 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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