Work

Integration of artificial neural networks for multi-source energy management in a smart grid

Year: 2021

Type: article

Abstract: Among the most widespread renewable energy sources is solar energy; Solar panels offer a green, clean, and environmentally friendly source of energy. In the presence of several advantages of the use of photovoltaic systems, the random operation of the photovoltaic generator presents a great challenge, in the presence of a critical load. Among the most used solutions to overcome this problem is the combination of solar panels with generators or with the public grid or both. In this paper, an energy management strategy is proposed with a safety aspect by using artificial neural networks (ANNs), in order to ensure a continuous supply of electricity to consumers with a maximum solicitation of renewable energy.

Source: International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering

DOI: 10.11591/ijpeds.v12.i3.pp1919-1927

Authors: Eziitouni Jarmouni, Ahmed Mouhsen, Mohammed Lamhammedi, Hicham Ouldzira

Institution: Université Hassan 1er

Language: English

Topic: Smart Grid Energy Management

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W3193382012

FWCI: 0.368

Cites: 23

Cited by: 7

Related to: 10