Microgrid Energy Management System: Technologies and Architectures Review
Meryem Hamidi, Omar Bouattane, Abdelhadi Raihani
Abstract
The energy management concepts for Microgrid (MG) system had substantial attention in the last years. The aim of integrating an Energy Management System (EMS) in MG and/or building is to improve the energy efficiency and reduce the energy cost. This article gives an overview of different MG electrical architectures and some popular MG concepts with EMS. Some Artificial Intelligence based (AI) methods, in the EMS field, such as Artificial Neural Networks (ANN), Fuzzy Logic ($\Gamma$L), Machine Learning (ML) and Expert System (ES) are also examined.
Topics & Concepts
MicrogridEnergy management systemEnergy managementComputer scienceArtificial neural networkExpert systemField (mathematics)Systems engineeringFuzzy logicEnergy (signal processing)Artificial intelligenceControl engineeringReliability engineeringEngineeringControl (management)Pure mathematicsStatisticsMathematicsMicrogrid Control and OptimizationSmart Grid Energy ManagementIslanding Detection in Power Systems