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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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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1724787790405697536 |