## 抄録

A fuel cell has been expected to be a very energy efficient and clean device and has been technologically matured to a stage of practical use. In consideration of its relatively small generation capacity, a fuel cell may be installed in a distribution network. This paper presents the framework of a method of introducing fuel cells into a radial distribution system. According to this framework, an optimal deployment problem of fuel cells is formulated as a combinatorial optimization problem. Since this problem has nonlinear objective function to be minimized, the optimal solution could be obtains only through an exhaustive search, which is susceptible to combinatorial explosion for large scale systems. Hence, a genetic algorithm (GA) must be an adequate method to obtain a solution within reasonable computation time. Further, several kinds of techniques to improve GA performance have been introduced in this paper. The proposed algorithm has been applied to test distribution systems of 69 and 111 nodes with successful results.

本文言語 | English |
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ホスト出版物のタイトル | Proceedings of the IEEE Conference on Evolutionary Computation |

Place of Publication | Piscataway, NJ, United States |

出版社 | IEEE |

ページ | 479-484 |

ページ数 | 6 |

巻 | 1 |

出版ステータス | Published - 1995 |

イベント | Proceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2) - Perth, Aust 継続期間: 1995 11月 29 → 1995 12月 1 |

### Other

Other | Proceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2) |
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City | Perth, Aust |

Period | 95/11/29 → 95/12/1 |

## ASJC Scopus subject areas

- 工学（全般）