Improved TLBO algorithm for optimal energy management in a hybrid microgrid with support vector machine-based forecasting of uncertain parameters
The worldwide need for electrical energy is increasing, and integrating renewable energy sources (RES) into the power grid will enhance the efficient use of clean energy to fulfill the growing demand for energy. However, the uncertain nature of power from the RES like solar and wind, utility price,...
Autores principales: | Raji Krishna, S. Hemamalini |
---|---|
Formato: | Artículo |
Lenguaje: | English |
Publicado: |
Elsevier
2024-12-01
|
Colección: | Results in Engineering |
Materias: | |
Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S2590123024012477 |
Ejemplares similares
-
Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm
por: Raji Krishna, et al.
Publicado: (2024-12-01) -
Line impedance compensation control strategy for multiple interlinking converters in hybrid AC/DC microgrid
por: Can Wang, et al.
Publicado: (2023-03-01) -
Analysis and Modeling of AC and DC Micro-Grids for Prosumer Based Implementation
por: A. Samarat, et al.
Publicado: (2021-08-01) -
Implementation of Exact Linearization Technique for Modeling and Control of DC/DC Converters in Rural PV Microgrid Application
por: Rodrigo Aliaga, et al.
Publicado: (2022-01-01) -
Coordination control of hybrid AC/DC microgrid
por: Beiming Liang, et al.
Publicado: (2019-01-01)