Development of Optimization and Control Methods for Home Energy Management Systems
| Project/Area Number |
26420420
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Control engineering/System engineering
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| Research Institution | Yamaguchi University |
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Principal Investigator |
WAKASA Yuji 山口大学, 大学院創成科学研究科, 准教授 (60263620)
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | エネルギーマネジメント / 最適化 / 制御工学 |
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| Outline of Final Research Achievements |
In this study, we have developed optimization and control methods for demand-side home energy management systems in order to compensating for instability of power supply due to renewable energy. In particular, focusing on deferrable loads of electric appliances at home, we have proposed optimal control methods for utilizing the flexibility of such electric appliances. We have also proposed a general-purpose distributed particle swarm optimization algorithm by combining with an average consensus algorithm, and have provided a convergence condition. Moreover, we have proposed a maximum power point tracking control method for photovoltaic systems by improving the efficiency of a particle swarm optimization-based approach.
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Report
(5 results)
Research Products
(21 results)
