Optimum configuration for renewable generating systems in residence using genetic algorithm

Photovoltaic power generation and wind power generation have an advantage that energy is clean and infinite, but they have a disadvantage in that electrical output energy is unstable, and initial and maintenance costs are expensive. This paper presents an optimal configuration for renewable generati...

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Bibliographic Details
Published in:IEEE transactions on energy conversion 2006-06, Vol.21 (2), p.459-466
Main Authors: Senjyu, T., Hayashi, D., Urasaki, N., Funabashi, T.
Format: Article
Language:English
Subjects:
Cost function
Genetic algorithm (GA)
Genetic algorithms
optimal configuration
Photovoltaic systems
Power demand
Power engineering and energy
Renewable energy resources
renewable generating system
Solar power generation
Wind energy generation
Wind power generation
Wind speed
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Summary:Photovoltaic power generation and wind power generation have an advantage that energy is clean and infinite, but they have a disadvantage in that electrical output energy is unstable, and initial and maintenance costs are expensive. This paper presents an optimal configuration for renewable generating systems in residence using a genetic algorithm (GA). We define that the objective function is the total cost, where the total cost is the sum of initial cost, an operation cost, and a maintenance cost. We determine an optimal configuration of renewable generating systems, where total cost is more reasonable using GA. The simulation using this technique is shown.
ISSN:0885-8969
1558-0059
DOI:10.1109/TEC.2006.874250