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Open AccessEditorial

Intelligent Energy Management of Electrical Power Systems

Sorbonne University, Université de Technologie de Compiègne, EA 7284 AVENUES, 60203 Compiègne, France
Appl. Sci. 2020, 10(8), 2951; https://doi.org/10.3390/app10082951
Received: 25 March 2020 / Accepted: 18 April 2020 / Published: 24 April 2020
(This article belongs to the Special Issue Intelligent Energy Management of Electrical Power Systems)
Smart grid implementation is facilitated by multi-source energy systems development, i.e., microgrids, which are considered the key smart grid building blocks. Whether they are alternative current (AC) or direct current (DC), high voltage or low voltage, high power or small power, integrated into the distribution system or the transmission network, multi-source systems always require an intelligent energy management that is integrated into the power system. A comprehensive intelligent energy system aims at providing overall energy efficiency with regard to the following: increased power generation flexibility, increased renewable generation systems, improved energy consumption, reduced CO2 emission, improved stability, and minimized energy cost. This Special Issue presents recent key theoretical and practical developments that concern the models, technologies, and flexible solutions to facilitate the following optimal energy and power flow strategies: the techno-economic model for optimal sources dispatching (mono and multi-objective energy optimization), real-time optimal scheduling, and real time optimization with model predictive control. View Full-Text
Keywords: microgrids; multi-source systems; multi-energy systems; energy optimization; advanced control technologies; demand side management; energy monitoring; energy cost optimization; electric vehicles charging stations; building-integrated energy management; smart meter; blockchain microgrids; multi-source systems; multi-energy systems; energy optimization; advanced control technologies; demand side management; energy monitoring; energy cost optimization; electric vehicles charging stations; building-integrated energy management; smart meter; blockchain
MDPI and ACS Style

Sechilariu, M. Intelligent Energy Management of Electrical Power Systems. Appl. Sci. 2020, 10, 2951. https://doi.org/10.3390/app10082951

AMA Style

Sechilariu M. Intelligent Energy Management of Electrical Power Systems. Applied Sciences. 2020; 10(8):2951. https://doi.org/10.3390/app10082951

Chicago/Turabian Style

Sechilariu, Manuela. 2020. "Intelligent Energy Management of Electrical Power Systems" Appl. Sci. 10, no. 8: 2951. https://doi.org/10.3390/app10082951

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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