scholarly journals Design of an interconnection and damping assignment-passivity based control technique for energy management and damping improvement of a DC microgrid

2020 ◽  
Vol 14 (11) ◽  
pp. 2082-2091 ◽  
Author(s):  
Soumya Samanta ◽  
Saumitra Barman ◽  
Jyoti Prakash Mishra ◽  
Prasanta Roy ◽  
Binoy Krishna Roy
Author(s):  
Soumya Samanta ◽  
Saumitra Barman ◽  
Jyoti Prakash Mishra ◽  
Prasanta Roy ◽  
Binoy Krishna Roy

This paper deals with (i) damping improvement and (ii) energy management of a DC microgrid for improvement of its stability. The direct current (DC) microgrid has a solar-photovoltaic system as a renewable source and fuel cell-battery combination as a backup system to supply power to constant power loads (CPLs). The presence of CPLs in a DC microgrid makes the stability problem more challenging since the negative impedance characteristics of CPLs bring instability into the system. A control approach using interconnection and damping assignment-passivity based control (IDA-PBC) is proposed in this paper to address both the objectives. The proposed control approach provides an efficient energy management, the required damping and also maintains the stability by making the system passive. The tuning parameters of the control laws are adapted incorporating the state of charge (SoC) for the effective energy management. In addition, an integral action is added with the proposed control laws to eliminate the steady-state error in the voltage level of the DC bus and load bus. The proposed IDA-PBC control along with an integral action is compared with four other control approaches, and reveals its better performances. The MATLAB/Simulink results show that the proposed control technique provides better responses in terms of providing damping and effective energy management.


Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1660
Author(s):  
Seydali Ferahtia ◽  
Ali Djeroui ◽  
Tedjani Mesbahi ◽  
Azeddine Houari ◽  
Samir Zeghlache ◽  
...  

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.


Author(s):  
Xiao Chang ◽  
Jinhao Wang ◽  
Linsheng Dai ◽  
Jia Zhao ◽  
Huipeng Li ◽  
...  

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