Dynamic power management and control for low voltage DC microgrid with hybrid energy storage system using hybrid bat search algorithm and artificial neural network

2020 ◽  
Vol 32 ◽  
pp. 101974
Author(s):  
Prashant Singh ◽  
Jagdeep Singh Lather
2013 ◽  
Vol 860-863 ◽  
pp. 608-612
Author(s):  
Hai Bo Wang ◽  
Xiu Yang ◽  
Jun Liu ◽  
Jie Chen

Hybrid energy storage system (HESS) including battery and super-capacitor can take advantages of both high energy density and high power density. In the stand-alone PV micro-grid, in which two buck/boost bidirectional converters are connected to the DC bus directly, a novel energy management scheme is proposed. After filtering the fluctuating power of the HESS, charge and discharge currents of the battery are controlled by hysteresis control method, the super-capacitor supplies the difference of the power. To leveling off the fluctuating power output of photovoltaic system and control the voltage of the DC bus, a new control strategy applied to the bidirectional converter of the super capacitor is put forward. The feed-forward loops of input voltage, load current and output voltage are introduced to improve the response speed and stability of the system. Results of the simulation show the effectiveness of the proposed energy management and control strategy.


Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5147
Author(s):  
Arkadiusz Adamczyk

Growing consciousness of the threat posed by man-made climate change has spurred government institutions, industry, and science to find clean fuels to power economic activity. Fuel cells powered by hydrogen are one of the steps in gaining clean energy. To improve the efficiency of the fuel cell, the hybrid solutions are required. This article shows a new approach to the design and control of a hybrid energy storage system for portable applications. The methodology allows us to optimize the desired physical parameters of the elements (weight or size) in order to withstand the connected load power demand. Such an approach allows us to minimize weight, which is essential in portable systems. The methodology was proven by building a technology demonstrator. The measurements of physical objects verified the electrical parameters received during simulation and allowed a lower weight of the system, compared to the system based only on Li-ion batteries.


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