Mohamed Barara,Tareq Alnejaili, Sami Labdai, Mohammed Ouriagli, Larbi Chrifi-Alaoui
Code: (S7104_ID174)
Paper Title : Optimized Energy Management Strategy for Off-grid Energy System
Presented in:
9th International Renewable and Sustainable Energy Conference #IRSEC21
IEEE Conference
Online, November 23-27, 2021
Special Session 1 - Smart Grid Technologies and Applications
https://www.med-space.org/irsec21
Presented by :
Sami Labdai
Laboratory of Innovative Technologies (LTI, UR 38 99), University of Picardie Jules Verne
Cuffies, France
Abstract - In this paper we present an energy management strategy for an off-grid hybrid energy system. The studied system consists of a PV module, a lifepo4 battery pack coupled with BMS and an inverter controlled with a load management device. We aim to provide sufficient energy to different loads and decrease the energy deficit and the loss of power supply probability (LPSP) factor. The hybrid system with the proposed management algorithm has been tested using Matlab/Simulink. The result demonstrates that the reduction in the energy deficit of the system is about 40% compared to the system without load management. Furthermore, the reliability of the system is improved as the loss of power supply probability decrease from 7% to 4%."
Code: (S7104_ID174)
Paper Title : Optimized Energy Management Strategy for Off-grid Energy System
Presented in:
9th International Renewable and Sustainable Energy Conference #IRSEC21
IEEE Conference
Online, November 23-27, 2021
Special Session 1 - Smart Grid Technologies and Applications
https://www.med-space.org/irsec21
Presented by :
Sami Labdai
Laboratory of Innovative Technologies (LTI, UR 38 99), University of Picardie Jules Verne
Cuffies, France
Abstract - In this paper we present an energy management strategy for an off-grid hybrid energy system. The studied system consists of a PV module, a lifepo4 battery pack coupled with BMS and an inverter controlled with a load management device. We aim to provide sufficient energy to different loads and decrease the energy deficit and the loss of power supply probability (LPSP) factor. The hybrid system with the proposed management algorithm has been tested using Matlab/Simulink. The result demonstrates that the reduction in the energy deficit of the system is about 40% compared to the system without load management. Furthermore, the reliability of the system is improved as the loss of power supply probability decrease from 7% to 4%."
- Category
- Management

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