DocumentCode :
3258605
Title :
Optimal unit sizing of stand-alone renewable hybrid energy system using bees algorithm
Author :
Tudu, B. ; Majumder, S. ; Mandal, K.K. ; Chakraborty, N.
Author_Institution :
Power Eng. Dept., Jadavpur Univ., Kolkata, India
fYear :
2011
fDate :
28-30 Dec. 2011
Firstpage :
1
Lastpage :
6
Abstract :
This paper focuses on unit sizing of stand-alone hybrid energy systems using bees algorithm. With different combination of renewable sources, two types of hybrid energy systems are taken as test systems. Apart from the non-conventional sources like wind turbines, solar panels along with micro hydro plant, the systems have been optimized with fuel cell, converters, electrolyzers and hydrogen tanks. Different performance parameters such as net present cost (NPC), cost of energy (COE) and generation cost (GC) of power production have been considered. Out of the two systems studied, it is seen that the combination of hydro-wind-fuel cell is the most feasible hybrid energy system in respect to their net present cost and cost of energy. Again it is seen that, the bees algorithm is quite efficient in providing a global solution and makes the choice more easier.
Keywords :
hybrid power systems; power convertors; power generation economics; renewable energy sources; bees algorithm; electrolyzer; energy cost; generation cost; hydro-wind-fuel cell; hydrogen tanks; microhydro plant; net present cost; nonconventional source; optimal unit sizing; performance parameter; power production; renewable energy source; solar panel; stand-alone renewable hybrid energy system; test system; wind turbine; Algorithm design and analysis; Fuel cells; Hybrid power systems; Optimization; Particle swarm optimization; Renewable energy resources; Wind turbines; Bees algorithm; Hybrid energy system; Micro-hydro plant; Renewable energy; Unit sizing; Wind turbine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy, Automation, and Signal (ICEAS), 2011 International Conference on
Conference_Location :
Bhubaneswar, Odisha
Print_ISBN :
978-1-4673-0137-4
Type :
conf
DOI :
10.1109/ICEAS.2011.6147175
Filename :
6147175
Link To Document :
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