Artificial neural networks in microgrids: A review
| Autor: | Tania B. Lopez-Garcia, José A. Domínguez-Navarro, Alberto Coronado-Mendoza |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Artificial neural network
business.industry Computer science 020209 energy Control engineering 02 engineering and technology Scheduling (computing) Supervisory control Artificial Intelligence Control and Systems Engineering Distributed generation 0202 electrical engineering electronic engineering information engineering Power quality 020201 artificial intelligence & image processing Microgrid Electrical and Electronic Engineering business |
| Zdroj: | Engineering Applications of Artificial Intelligence. 95:103894 |
| ISSN: | 0952-1976 |
| Popis: | In this work it is shown that artificial neural networks have certain characteristics that make them advantageous in the development of controllers in the different levels of control that microgrids must include to be economic, efficient and able to satisfy the energy power quality and quantity requirements. An objective of this paper is to bring attention to the promising applicability of artificial neural networks applied to the control of microgrid distributed generation sources, as well as in scheduling, power sharing, supervisory control and optimization. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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