1. Optimum Configuration for Renewable Generating Systems in Residence Using Genetic Algorithm.
- Author
-
Senjyu, Tomonobu, Hayashi, Daisuke, Urasaki, Naomitsu, and Funabashi, Toshihisa
- Subjects
RENEWABLE energy sources ,GENETIC algorithms ,PHOTOVOLTAIC power generation ,WIND power ,ENERGY conservation ,POWER resources - Abstract
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. [ABSTRACT FROM AUTHOR]
- Published
- 2006
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