Optimal power management under delay constraint in cellular networks with hybrid energy sources

2015 ◽  
Vol 78 ◽  
pp. 107-118 ◽  
Author(s):  
J. Peng ◽  
P. Hong ◽  
K. Xue
Keyword(s):  
Power Management ◽  
Cellular Networks ◽  
Energy Sources ◽  
Delay Constraint ◽  
Hybrid Energy ◽  
Optimal Power

scholarly journals Energy-Aware Resource Management in Heterogeneous Cellular Networks With Hybrid Energy Sources

2019 ◽  
Vol 16 (1) ◽  
pp. 279-293 ◽  
Author(s):  
Luis A. Fletscher ◽  
Luis A. Suarez ◽  
David Grace ◽  
Catalina Valencia Peroni ◽  
Jose M. Maestre
Keyword(s):  
Resource Management ◽  
Cellular Networks ◽  
Energy Sources ◽  
Heterogeneous Cellular Networks ◽  
Energy Aware ◽  
Hybrid Energy

scholarly journals A multi-criteria BS switching-off algorithm for 5G heterogeneous cellular networks with hybrid energy sources

2016 ◽  
Vol 27 (7) ◽  
pp. 923-938 ◽  
Author(s):  
Luis Suárez ◽  
Loutfi Nuaymi ◽  
David Grace ◽  
Salahedin Rehan ◽  
Jean-Marie Bonnin
Keyword(s):  
Cellular Networks ◽  
Energy Sources ◽  
Heterogeneous Cellular Networks ◽  
Hybrid Energy ◽  
Bs Switching

scholarly journals Optimal Sizing of an Island Hybrid Microgrid Based on Improved Multi-Objective Grey Wolf Optimizer

Processes ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 1581
Author(s):  
Wenqiang Zhu ◽  
Jiang Guo ◽  
Guo Zhao ◽  
Bing Zeng
Keyword(s):  
Power Supply ◽  
Tidal Current ◽  
System Optimization ◽  
Energy System ◽  
Energy Sources ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Multi Objective

The hybrid renewable energy system is a promising and significant technology for clean and sustainable island power supply. Among the abundant ocean energy sources, tidal current energy appears to be very valuable due to its excellent predictability and stability, particularly compared with the intermittent wind and solar energy. In this paper, an island hybrid energy microgrid composed of photovoltaic, wind, tidal current, battery and diesel is constructed according to the actual energy sources. A sizing optimization method based on improved multi-objective grey wolf optimizer (IMOGWO) is presented to optimize the hybrid energy system. The proposed method is applied to determine the optimal system size, which is a multi-objective problem including the minimization of annualized cost of system (CACS) and deficiency of power supply probability (DPSP). MATLAB software is utilized to program and simulate the hybrid energy system. Optimization results confirm that IMOGWO is feasible to optimally size the system, and the energy management strategy effectively matches the requirements of system operation. Furthermore, comparison of hybrid systems with and without tidal current turbines is undertaken to confirm that the utilization of tidal current turbines can contribute to enhancing system reliability and reducing system investment, especially in areas with abundant tidal energy sources.

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