A stochastic hybrid system model of collective transport in the desert ant aphaenogaster cockerelli

Author(s):  
Ganesh P. Kumar ◽  
Aurélie Buffin ◽  
Theodore P. Pavlic ◽  
Stephen C. Pratt ◽  
Spring M. Berman
Electronics ◽  
2018 ◽  
Vol 7 (10) ◽  
pp. 233 ◽  
Author(s):  
Omar Mohammed ◽  
Yassine Amirat ◽  
Mohamed Benbouzid

Hybrid renewable energy systems are a promising technology for clean and sustainable development. In this paper, an intelligent algorithm, based on a genetic algorithm (GA), was developed and used to optimize the energy management and design of wind/PV/tidal/ storage battery model for a stand-alone hybrid system located in Brittany, France. This proposed optimization focuses on the economic analysis to reduce the total cost of hybrid system model. It suggests supplying the load demand under different climate condition during a 25-years interval, for different possible cases and solutions respecting many constraints. The proposed GA-based optimization approach achieved results clear highlight its practicality and applicability to any hybrid power system model, including optimal energy management, cost constraint, and high reliability.


2011 ◽  
Vol 2011 (0) ◽  
pp. _2A1-Q07_1-_2A1-Q07_4
Author(s):  
Takehito TORII ◽  
Koji MIKAMI ◽  
Hiroyuki OKUDA ◽  
Yuichi TAZAKI ◽  
Tatsuya SUZUKI ◽  
...  

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