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题名: A novel multiobjective optimization algorithm for home energy management system in smart grid
作者: Zhang YY(张延宇) ; Ceng P(曾鹏) ; Li, Shuhui ; Zang CZ(臧传治) ; Li HP(李鹤鹏)
作者部门: 工业控制网络与系统研究室
关键词: PARTICLE SWARM OPTIMIZATION ; DEMAND RESPONSE ; PRICING ENVIRONMENTS ; CONSUMPTION
刊名: Mathematical Problems in Engineering
ISSN号: 1024-123X
出版日期: 2015
卷号: 2015, 页码:1-20
收录类别: SCI ; EI
产权排序: 1
项目资助者: National High Technology Research and Development of China [2011AA040103] ; Natural Science Foundation of China [61233007, 61300215] ; Important National Science and Technology Specific Project [2013ZX03005004]
摘要: Demand response (DR) is an effective method to lower peak-to-average ratio of demand, facilitate the integration of renewable resources (e.g., wind and solar) and plug-in hybrid electric vehicles, and strengthen the reliability of power system. In smart grid, implementing DR through home energy management system (HEMS) in residential sector has a great significance. However, an algorithm that only optimally controls parts of HEMS rather than the overall system cannot obtain the best results. In addition, single objective optimization algorithm that minimizes electricity cost cannot quantify user's comfort level and cannot take a tradeoff between electricity cost and comfort level conveniently. To tackle these problems, this paper proposes a framework of HEMS that consists of grid, load, renewable resource (i.e., solar resource), and battery. In this framework, a user has the ability to sell electricity to utility grid for revenue. Different comfort level indicators are proposed for different home appliances according to their characteristics and user preferences. Based on these comfort level indicators, this paper proposes a multiobjective optimization algorithm for HEMS that minimizes electricity cost and maximizes user's comfort level simultaneously. Simulation results indicate that the algorithm can reduce user's electricity cost significantly, ensure user's comfort level, and take a tradeof between the cost and comfort level conveniently.
语种: 英语
WOS记录号: WOS:000355862400001
WOS标题词: Science & Technology ; Technology ; Physical Sciences
类目[WOS]: Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
关键词[WOS]: PARTICLE SWARM OPTIMIZATION ; DEMAND RESPONSE ; PRICING ENVIRONMENTS ; CONSUMPTION
研究领域[WOS]: Engineering ; Mathematics
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/16133
Appears in Collections:工业控制网络与系统研究室_期刊论文

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