2018 Fiscal Year Final Research Report
Development of the Adaptive Power Allocation Management System in Real Environments
| Project/Area Number |
15K15979
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Information network
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| Research Institution | Mie University (2016-2018)
Kyoto University (2015) |
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Principal Investigator |
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| Project Period (FY) |
2015-04-01 – 2019-03-31
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| Keywords | 電力割当制御システム |
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| Outline of Final Research Achievements |
Energy-on-Demand} (EoD) is a recently-proposed novel power network concept of demand-side power management, whose objective is to intelligently manage power flows among power generations. In an EoD system, if total amount of power consumption exceeds the limitation of power resource, a power allocation manager deployed in a home makes a decision on power allocation for appliances under the limitation of the amount of available power resource, and controls the amount of power supplied to the appliances. In this research work, we have proposed,implemented and evaluated the EoD system based on combinatorial optimization of appliance power consumptions; namely, we have considered the problem formulation that is adaptive to real-environments, and implemented power allocation management systems where power allocation is done utilizing algorithms for the Multiple Choice Knapsack Problem and the Multiple Knapsack Problem with Assignment Restrictions.
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| Free Research Field |
エネルギー管理アルゴリズム
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| Academic Significance and Societal Importance of the Research Achievements |
本研究は昨今の電力事情を背景とし，日常的な電力管理を組合せ最適化問題として捉え，生活品質を可能な限り落とさずに電力消費を最適化する点が特徴的であり，IoT等により節電目標を自動的かつ確実に達成するための技術として社会的に意義がある．本研究では家庭における電力割当制御を主な対象としていたが，要素技術は家庭だけに限定されずオフィスや工場等にも応用可能と考えられる．
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