Control and Optimization Technologies in Renewable Energy Integrated Systems

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Bol With increasing penetration of renewable energy resources, there has been growing concern over their impacts on the stability, reliability, and resiliency of the grid, especially during extreme events. Consequently, there is a growing need to develop novel control and optimization techniques to address these issues. This could involve leveraging the flexibility and the controllability of several renewable energy resources, as well as developing hybrid power sources, such as solar PVs, energy storage, hydro power plants, nuclear power plants, and fuel cells, among others. This Special Issue aims to inform the community about recent advancements in these and other areas. Topics of interest include, but are not limited to, the following:Power electronics controls for renewable energy systems;Integrated energy system optimal dispatch;Optimal power flow in smart grids;Hydrogen generation in integrated energy systems;Thermal energy systems;Grid integration of electric vehicles;Inverter-based resource controls and optimization;Hybrid energy storage systems;Machine learning applications in smart grids.

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With increasing penetration of renewable energy resources, there has been growing concern over their impacts on the stability, reliability, and resiliency of the grid, especially during extreme events. Consequently, there is a growing need to develop novel control and optimization techniques to address these issues. This could involve leveraging the flexibility and the controllability of several renewable energy resources, as well as developing hybrid power sources, such as solar PVs, energy storage, hydro power plants, nuclear power plants, and fuel cells, among others. This Special Issue aims to inform the community about recent advancements in these and other areas. Topics of interest include, but are not limited to, the following:Power electronics controls for renewable energy systems;Integrated energy system optimal dispatch;Optimal power flow in smart grids;Hydrogen generation in integrated energy systems;Thermal energy systems;Grid integration of electric vehicles;Inverter-based resource controls and optimization;Hybrid energy storage systems;Machine learning applications in smart grids.

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Pagina's: 310, Hardcover, MDPI AG


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Merk MDPI AG
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  • 9783725862702
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