A novel multiobjective optimization algorithm for home energy management system in smart grid
文献类型：期刊论文
| 作者 | Zhang YY(张延宇); Zeng P(曾鹏) ; Li, Shuhui; Zang CZ(臧传治); Li HP(李鹤鹏)
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| 刊名 | Mathematical Problems in Engineering
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| 出版日期 | 2015 |
| 卷号 | 2015页码:1-20 |
| 关键词 | PARTICLE SWARM OPTIMIZATION DEMAND RESPONSE PRICING ENVIRONMENTS CONSUMPTION |
| ISSN号 | 1024-123X |
| 产权排序 | 1 |
| 通讯作者 | 张延宇 ; 曾鹏 |
| 中文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology ; Physical Sciences |
| 类目[WOS] | Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications |
| 研究领域[WOS] | Engineering ; Mathematics |
| 关键词[WOS] | PARTICLE SWARM OPTIMIZATION ; DEMAND RESPONSE ; PRICING ENVIRONMENTS ; CONSUMPTION |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000355862400001 |
| 源URL | [http://ir.sia.ac.cn/handle/173321/16133]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 推荐引用方式 GB/T 7714 | Zhang YY,Zeng P,Li, Shuhui,et al. A novel multiobjective optimization algorithm for home energy management system in smart grid[J]. Mathematical Problems in Engineering,2015,2015:1-20. |
| APA | Zhang YY,Zeng P,Li, Shuhui,Zang CZ,&Li HP.(2015).A novel multiobjective optimization algorithm for home energy management system in smart grid.Mathematical Problems in Engineering,2015,1-20. |
| MLA | Zhang YY,et al."A novel multiobjective optimization algorithm for home energy management system in smart grid".Mathematical Problems in Engineering 2015(2015):1-20. |
入库方式： OAI收割
来源：沈阳自动化研究所
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