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.
|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|
|出版ステータス||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||2012 Portland International Conference on Management of Engineering and Technology - Technology Management for Emerging Technologies, PICMET'12|
|Period||12/7/29 → 12/8/2|
ASJC Scopus subject areas