## Abstract

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.

Original language | English |
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Title of host publication | 2012 Proceedings of Portland International Center for Management of Engineering and Technology: Technology Management for Emerging Technologies, PICMET'12 |

Pages | 1319-1329 |

Number of pages | 11 |

Publication status | Published - 2012 |

Event | 2012 Portland International Conference on Management of Engineering and Technology - Technology Management for Emerging Technologies, PICMET'12 - Vancouver, BC Duration: 2012 Jul 29 → 2012 Aug 2 |

### Other

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

Period | 12/7/29 → 12/8/2 |

## ASJC Scopus subject areas

- Management of Technology and Innovation