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Optimum configuration for renewable generating systems in residence using genetic algorithm

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4 Author(s)
Senjyu, T. ; Dept. of Electr. & Electron. Eng., Univ. of the Ryukyus, Okinawa, Japan ; Hayashi, D. ; Urasaki, N. ; Funabashi, T.

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.

Published in:

Energy Conversion, IEEE Transactions on  (Volume:21 ,  Issue: 2 )