Particle swarm optimization algorithm for dynamic synchronization of smart grid
Author:
Affiliation:
1. Nuclear Engineering and Fluid Mechanics Department, University of the Basque Country, Vitoria-Gasteiz, Spain
2. System Engineering and Automation Control Department, University of the Basque Country, Vitoria-Gasteiz, Spain
Funder
Estudio de nuevas técnicas de inteligencia artificial basadas en Deep Learning dirigidas a la optimización de procesos industriales
Control Activo y Gestión de Almacenamiento para SmartGrid mediante paralelado de Convertidores Electrónicos, grupos Electrógenos y pila de hidrógeno, SmartCGH
Publisher
Informa UK Limited
Subject
Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
Link
https://www.tandfonline.com/doi/pdf/10.1080/15567036.2022.2069304
Reference43 articles.
1. Real-World MicroGrids-An Overview
2. Overview of Control and Grid Synchronization for Distributed Power Generation Systems
3. Active Synchronizing Control of a Microgrid
4. Towards a smart grid power system in Brazil: Challenges and opportunities
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1. Towards swarm optimization techniques for power communication systems and smart grid environments;Journal of High Speed Networks;2023-08-14
2. A Review of Optimization for System Reliability of Microgrid;Mathematics;2023-02-06
3. Synchronization Controller for Seamless Interconnection of Mirogrids with Heterogeneous Sources;2022 22nd National Power Systems Conference (NPSC);2022-12-17
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