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DOI: 10.14569/IJACSA.2019.0100549
PDF

Towards a Real Time Energy Management Strategy for Hybrid Wind-PV Power System based on Hierarchical Distribution of Loads

Author 1: Abdelhadi Raihani
Author 2: Tajeddine Khalili
Author 3: Mohamed Rafik
Author 4: Mohammed Hicham Zaggaf
Author 5: Omar Bouattane

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 5, 2019.

  • Abstract and Keywords
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Abstract: Energy management is a crucial aspect for achieving energy efficiency within a Hybrid Renewable energy power station. Load being unbalanced through the day, a reasonable power management can avoid energy dissipation and unnecessary grid solicitation. This article presents an energy management strategy in a real case scenario of a hybrid wind-solar power station in the ENSET campus. The approach manages energy provided by wind turbines and multiple photovoltaic panels, using a power bank as backup source. in this study actual data involving wind speed, solar radiation, load profile and energy generation was collected. Different scenarios were simulated in order to synthesize an efficient energy management and load balancing system with possible load forecasting capability. In all the simulated scenarios the study emphasizes a minimal solicitation of the grid.

Keywords: Energy management; hybrid renewable energy sources; grid injection; loads distribution; energy forecasting; load forecasting

Abdelhadi Raihani, Tajeddine Khalili, Mohamed Rafik, Mohammed Hicham Zaggaf and Omar Bouattane, “Towards a Real Time Energy Management Strategy for Hybrid Wind-PV Power System based on Hierarchical Distribution of Loads” International Journal of Advanced Computer Science and Applications(IJACSA), 10(5), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100549

@article{Raihani2019,
title = {Towards a Real Time Energy Management Strategy for Hybrid Wind-PV Power System based on Hierarchical Distribution of Loads},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100549},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100549},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {5},
author = {Abdelhadi Raihani and Tajeddine Khalili and Mohamed Rafik and Mohammed Hicham Zaggaf and Omar Bouattane}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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