### 抄録

Recently, power-supply failures have caused major social losses. Therefore, power-supply systems need to be discussed from various points of view. The objective of this study is to present a concept of serviceability in investment to a power system. In this study, the serviceability is interpreted from the reliability and risks of units, which are evaluated with a variance-covariance matrix, and the effects and expenses of replacement are analyzed. The mean-variance analysis is formulated as a mathematical program with the following two objectives: (1) to maximize the serviceability, that is, minimize the risk and (2) to maximize the expected return. Finally, a structural learning model of a mutual connection neural network is proposed to solve these problems defined by mixed-integer quadratic programming, and employed in the mean-variance analysis after proving its convegence. Our method is applied to a power system network in a cetain urban area. This method enables us to select results more effectively and enhance decision making. In other words, decision-makers can select the investment rate and serviceability of each ward within a given total budget.

元の言語 | English |
---|---|

ホスト出版物のタイトル | 2012 Proceedings of Portland International Center for Management of Engineering and Technology: Technology Management for Emerging Technologies, PICMET'12 |

ページ | 1319-1329 |

ページ数 | 11 |

出版物ステータス | Published - 2012 |

イベント | 2012 Portland International Conference on Management of Engineering and Technology - Technology Management for Emerging Technologies, PICMET'12 - Vancouver, BC 継続期間: 2012 7 29 → 2012 8 2 |

### Other

Other | 2012 Portland International Conference on Management of Engineering and Technology - Technology Management for Emerging Technologies, PICMET'12 |
---|---|

市 | Vancouver, BC |

期間 | 12/7/29 → 12/8/2 |

### Fingerprint

### ASJC Scopus subject areas

- Management of Technology and Innovation

### これを引用

*2012 Proceedings of Portland International Center for Management of Engineering and Technology: Technology Management for Emerging Technologies, PICMET'12*(pp. 1319-1329). [6304155]

**Serviceability based investment to power system.** / Watada, Junzo.

研究成果: Conference contribution

*2012 Proceedings of Portland International Center for Management of Engineering and Technology: Technology Management for Emerging Technologies, PICMET'12.*, 6304155, pp. 1319-1329, 2012 Portland International Conference on Management of Engineering and Technology - Technology Management for Emerging Technologies, PICMET'12, Vancouver, BC, 12/7/29.

}

TY - GEN

T1 - Serviceability based investment to power system

AU - Watada, Junzo

PY - 2012

Y1 - 2012

N2 - Recently, power-supply failures have caused major social losses. Therefore, power-supply systems need to be discussed from various points of view. The objective of this study is to present a concept of serviceability in investment to a power system. In this study, the serviceability is interpreted from the reliability and risks of units, which are evaluated with a variance-covariance matrix, and the effects and expenses of replacement are analyzed. The mean-variance analysis is formulated as a mathematical program with the following two objectives: (1) to maximize the serviceability, that is, minimize the risk and (2) to maximize the expected return. Finally, a structural learning model of a mutual connection neural network is proposed to solve these problems defined by mixed-integer quadratic programming, and employed in the mean-variance analysis after proving its convegence. Our method is applied to a power system network in a cetain urban area. This method enables us to select results more effectively and enhance decision making. In other words, decision-makers can select the investment rate and serviceability of each ward within a given total budget.

AB - Recently, power-supply failures have caused major social losses. Therefore, power-supply systems need to be discussed from various points of view. The objective of this study is to present a concept of serviceability in investment to a power system. In this study, the serviceability is interpreted from the reliability and risks of units, which are evaluated with a variance-covariance matrix, and the effects and expenses of replacement are analyzed. The mean-variance analysis is formulated as a mathematical program with the following two objectives: (1) to maximize the serviceability, that is, minimize the risk and (2) to maximize the expected return. Finally, a structural learning model of a mutual connection neural network is proposed to solve these problems defined by mixed-integer quadratic programming, and employed in the mean-variance analysis after proving its convegence. Our method is applied to a power system network in a cetain urban area. This method enables us to select results more effectively and enhance decision making. In other words, decision-makers can select the investment rate and serviceability of each ward within a given total budget.

UR - http://www.scopus.com/inward/record.url?scp=84867965259&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84867965259&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84867965259

SN - 1890843261

SN - 9781890843267

SP - 1319

EP - 1329

BT - 2012 Proceedings of Portland International Center for Management of Engineering and Technology: Technology Management for Emerging Technologies, PICMET'12

ER -