Energy Management Strategy and Optimization of a MicroGrid System Based on Echo State Networks
| Autor: | Antar Beddar, Issam Abadlia, F. Abdoune, L. Hassaine |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
business.industry Energy management Computer science 02 engineering and technology Hydrogen tank Grid Automotive engineering Renewable energy Power (physics) Energy management system 020901 industrial engineering & automation Hydrogen fuel 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Microgrid business |
| Zdroj: | Artificial Intelligence and Renewables Towards an Energy Transition ISBN: 9783030638450 |
| DOI: | 10.1007/978-3-030-63846-7_17 |
| Popis: | This paper discusses the investigation of the Echo State Networks (ESNs) used to optimize a MicroGrid (MG) system operation as well as, an application of a performant Energy Management System (EMS). MG is the grid connected-multisource which composed of an Hybrid Renewable Energy Source (HRES) with an hydrogen fuel transformation system (H2FTS). HRES includes a Photovoltaic Generator (PVG) and a Wind Power Generation System (WPGS). In this work, the ESN is applauded for the control and the optimization of the MG power flow, where the main objectives are, power flow control improvement, minimization in possible the loss in power and increasing the H2 storage efficient. Simulation tests prove that, the proposed EMS unit enables to convert the total power for controlling the Hydrogen Tank Level (H2TL), optimizing the injected energy and get involved the H2FTS to increase system efficiency with a contentious of service. |
| Databáze: | OpenAIRE |
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