scholarly journals Optimal Adaptive Gain LQR-based Energy Management Strategy for Battery-Supercapacitor Hybrid Power System

2021 ◽  
Author(s):  
Seydali Ferahtia ◽  
Ali Djerioui ◽  
Tedjani Mesbahi ◽  
Azeddine Houari ◽  
Samir Zeghlache ◽  
...  
Keyword(s):  
Power System ◽  
Energy Management ◽  
Management Strategy ◽  
Lithium Ion ◽  
Control Technique ◽  
Energy Management Strategy ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Load Following ◽  
Stable Voltage

This paper aims at presenting an energy management strategy (EMS) based upon optimal control theory for a battery-supercapacitor hybrid power system. The hybrid power system consists of a Lithium-ion battery and a supercapacitor with associated bidirectional DC/DC converters. The proposed EMS aims at computing adaptive gains using salp swarm algorithm and load following control technique to assign the power reference for both the supercapacitor and the battery while achieving optimal performance and stable voltage. The DC-DC converter model is derived utilizing the first-principles method and compute the required gains to achieve the desired power. The fact that the developed algorithm takes disturbances into account increases the power ele-ments’ life expectancies and supplies the power system with the required power

scholarly journals Optimal Adaptive Gain LQR-Based Energy Management Strategy for Battery–Supercapacitor Hybrid Power System

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1660
Author(s):  
Seydali Ferahtia ◽  
Ali Djeroui ◽  
Tedjani Mesbahi ◽  
Azeddine Houari ◽  
Samir Zeghlache ◽  
...  
Keyword(s):  
Power System ◽  
Energy Management ◽  
Management Strategy ◽  
Lithium Ion ◽  
Control Technique ◽  
Energy Management Strategy ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Load Following ◽  
Stable Voltage

This paper aims at presenting an energy management strategy (EMS) based upon optimal control theory for a battery–supercapacitor hybrid power system. The hybrid power system consists of a lithium-ion battery and a supercapacitor with associated bidirectional DC/DC converters. The proposed EMS aims at computing adaptive gains using the salp swarm algorithm and load following control technique to assign the power reference for both the supercapacitor and the battery while achieving optimal performance and stable voltage. The DC/DC converter model is derived utilizing the first-principles method and computes the required gains to achieve the desired power. The fact that the developed algorithm takes disturbances into account increases the power elements’ life expectancies and supplies the power system with the required power.

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