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 th...

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Main Author: Manuela Sechilariu
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/8/2951
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spelling doaj-a39321863c9a4ce0b13bb676b58aaac12020-11-25T02:39:04ZengMDPI AGApplied Sciences2076-34172020-04-01102951295110.3390/app10082951Intelligent Energy Management of Electrical Power SystemsManuela Sechilariu0Sorbonne University, Université de Technologie de Compiègne, EA 7284 AVENUES, 60203 Compiègne, FranceSmart 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 CO<sub>2</sub> 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.https://www.mdpi.com/2076-3417/10/8/2951microgridsmulti-source systemsmulti-energy systemsenergy optimizationadvanced control technologiesdemand side management
collection DOAJ
language English
format Article
sources DOAJ
author Manuela Sechilariu
spellingShingle Manuela Sechilariu
Intelligent Energy Management of Electrical Power Systems
Applied Sciences
microgrids
multi-source systems
multi-energy systems
energy optimization
advanced control technologies
demand side management
author_facet Manuela Sechilariu
author_sort Manuela Sechilariu
title Intelligent Energy Management of Electrical Power Systems
title_short Intelligent Energy Management of Electrical Power Systems
title_full Intelligent Energy Management of Electrical Power Systems
title_fullStr Intelligent Energy Management of Electrical Power Systems
title_full_unstemmed Intelligent Energy Management of Electrical Power Systems
title_sort intelligent energy management of electrical power systems
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2020-04-01
description 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 CO<sub>2</sub> 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.
topic microgrids
multi-source systems
multi-energy systems
energy optimization
advanced control technologies
demand side management
url https://www.mdpi.com/2076-3417/10/8/2951
work_keys_str_mv AT manuelasechilariu intelligentenergymanagementofelectricalpowersystems
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