Intelligent energy management system of a smart microgrid using multiagent systems

• Autorzy: Azeroual Mohamed , Lamhamdi Tijani , El Moussaoui Hassan , El Markhi Hassane

Identyfikatory

DOI

10.24425/aee.2020.131756

• Języki publikacji: EN

Abstrakty

EN

The smart grid concept is predicated upon the pervasive use of advanced digital communication, information techniques, and artificial intelligence for the current power system, to be more characteristics of the real-time monitoring and controlling of the supply/demand. Microgrids are modern types of power systems used for distributed energy resource (DER) integration. However, the microgrid energy management, the control, and protection of microgrid components (energy sources, loads, and local storage units) is an important challenge. In this paper, the distributed energy management algorithm and control strategy of a smart microgrid is proposed using an intelligent multi-agent system (MAS) approach to achieve multiple objectives in real-time. The MAS proposed is developed with co-simulation tools, which the microgrid model, simulated using MATLAB/Simulink, and the MAS algorithm implemented in JADE through a middleware MACSimJX. The main study is to develop a new approach, able to communicate a multi-task environment such as MAS inside the S-function block of Simulink, to achieve the optimal energy management objectives.

Słowa kluczowe

EN

artificial intelligence; fault detection; microgrid; multi-agent system (MAS); power distribution; smart grid

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2020
• Tom: Vol. 69, nr 1
• Strony: 23--38
• Opis fizyczny: Bibliogr. 23 poz., rys., tab., wz.

Twórcy

autor

Azeroual Mohamed

• The Signals, Systems and Components Laboratory, Sidi Mohamed Ben Abdellah University FST Fez, Fez, 30060, Morocco

autor

Lamhamdi Tijani

• The Signals, Systems and Components Laboratory, Sidi Mohamed Ben Abdellah University FST Fez, Fez, 30060, Morocco

autor

El Moussaoui Hassan

• The Signals, Systems and Components Laboratory, Sidi Mohamed Ben Abdellah University FST Fez, Fez, 30060, Morocco

autor

El Markhi Hassane

• The Signals, Systems and Components Laboratory, Sidi Mohamed Ben Abdellah University FST Fez, Fez, 30060, Morocco

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).