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Energy management system of microgrid: Control schemes, pricing techniques, and future horizons

Haider Jouma Touma, Muhamad Mansor, Muhamad Safwan Abd Rahman, Vigna Kumaran, Hazlie Mokhlis, Yong Jia Ying, M. A. Hannan

2021International Journal of Energy Research30 citationsDOI

Abstract

The tremendous engagement of electric energy consumers and the advent of smart grids have left more complexity and challenges in terms of energy management system. Recently, microgrid is a preferable choice to cope with these challenges as small-scale power system and so close to consumers. However, there is a crucial need to find more compatible solutions to achieve economic, environmental, and reliable objectives of energy management system, since most current solutions are based on optimal scheduling of generating units at the supply side. Demand side management develops more opportunities to achieve these objectives by efficiency programs and demand response programs (pricing techniques). Therefore, this article reviews and assesses demand side management, particularly pricing techniques, in the light of energy management system as a part of control system of microgrid. Furthermore, the aspects of control schemes are discussed including centralized and distributed controls. Finally, this article identifies a number of shortcomings in the current research that concern demand side management and highlights future horizons of research.

Topics & Concepts

MicrogridEnergy managementDynamic pricingSmart gridEnergy management systemEnvironmental economicsDemand managementDemand responseComputer scienceRisk analysis (engineering)Distributed generationDemand sideControl (management)Load managementScheduling (production processes)Management systemNew horizonsBusinessElectricityEnergy (signal processing)EconomicsOperations managementEngineeringRenewable energyMarketingElectrical engineeringArtificial intelligenceAerospace engineeringSpacecraftStatisticsMathematicsMacroeconomicsSmart Grid Energy ManagementMicrogrid Control and OptimizationOptimal Power Flow Distribution
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