scholarly journals A Distributed Computing Architecture for the Large-Scale Integration of Renewable Energy and Distributed Resources in Smart Grids

10.5772/67791 ◽  
2017 ◽  
Author(s):  
Ignacio Aravena ◽  
Anthony Papavasiliou ◽  
Alex Papalexopoulos
Keyword(s):  
Renewable Energy ◽  
Distributed Computing ◽  
Smart Grids ◽  
Large Scale ◽  
Distributed Resources ◽  
Computing Architecture ◽  
Large Scale Integration ◽  
Scale Integration

scholarly journals Large scale integration of renewable energy sources (RES) in the future Colombian energy system

Energy ◽  
2019 ◽  
Vol 186 ◽  
pp. 115805 ◽  
Author(s):  
Oscar Pupo-Roncallo ◽  
Javier Campillo ◽  
Derek Ingham ◽  
Kevin Hughes ◽  
Mohammed Pourkashanian
Keyword(s):  
Renewable Energy ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
The Future ◽  
Large Scale Integration ◽  
Scale Integration

scholarly journals A Decentralized Architecture Based on Cooperative Dynamic Agents for Online Voltage Regulation in Smart Grids

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1386 ◽  
Author(s):  
Amedeo Andreotti ◽  
Alberto Petrillo ◽  
Stefania Santini ◽  
Alfredo Vaccaro ◽  
Domenico Villacci
Keyword(s):  
Smart Grids ◽  
Large Scale ◽  
Voltage Regulation ◽  
Power Grids ◽  
Power Generators ◽  
Renewable Power ◽  
Global Computing ◽  
Detailed Simulation ◽  
Large Scale Integration ◽  
Scale Integration

The large-scale integration of renewable power generators in power grids may cause complex technical issues, which could hinder their hosting capacity. In this context, the mitigation of the grid voltage fluctuations represents one of the main issues to address. Although different control paradigms, based on both local and global computing, could be deployed for online voltage regulation in active power networks, the identification of the most effective approach, which is influenced by the available computing resources, and the required control performance, is still an open problem. To face this issue, in this paper, the mathematical backbone, the expected performance, and the architectural requirements of a novel decentralized control paradigm based on dynamic agents are analyzed. Detailed simulation results obtained in a realistic case study are presented and discussed to prove the effectiveness and the robustness of the proposed method.

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