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智能电网环境下家庭能源管理系统优化调度算法
Alternative TitleA scheduling algorithm for home energy management system in smart grid
张延宇; 曾鹏; 臧传治
Department工业控制网络与系统研究室
Source Publication电力系统保护与控制
ISSN1674-3415
2016
Volume44Issue:2Pages:18-26
Indexed ByCSCD
CSCD IDCSCD:5625045
Contribution Rank1
Funding Organization国家高技术研究发展计划资助项目(863 计划) (2011AA040103) ; 国家自然科学基金资助项目(61233007, 61300215) ; 国家科技重大专项基金资助项目(2013ZX03005004)
Keyword智能电网 需求响应 家庭能源管理系统 粒子群算法 V2h
Abstract家庭能源管理系统是智能电网在居民侧的延伸,是智能电网领域的研究热点之一。阐述了智能电网环境下家庭能源管理系统与传统家庭能源管理系统的不同和智能电网环境下家庭能源管理系统的新功能需求。提出了智能电网环境下家庭能源管理系统的结构和功能模块,接着给出了智能电网环境下家庭能源管理系统的技术体系。从检测技术、网络通信技术和优化调度算法三方面综述了该领域的研究进展,讨论了存在的技术挑战,指出了未来的研究方向。
Other AbstractTo minimize electricity fee of a residential user, a framework and a scheduling algorithm for home energy management system (HEMS) in smart grid are proposed. The algorithm controls loads, plug-in hybrid electric vehicle(PHEV), and energy storage system according to predicted outdoor temperature, renewable resource power output, day-ahead electricity price, and user preferences. In this algorithm, the PHEV can supply stored power to other loads through V2H(vehicle to home, V2H) in high electricity price periods. Scenario analysis technique is utilized to cope with the uncertainty due to the error of predicted outdoor temperature and renewable resource power output. The effectiveness of the algorithm is verified by simulation, and simulation results show that compared to other algorithms which only control loads or parts of HEMS, it can reduce the electricity fee significantly.
Language中文
Citation statistics
Cited Times:10[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/17607
Collection工业控制网络与系统研究室
Corresponding Author张延宇
Affiliation1.网络化控制系统重点实验室中国科学院沈阳自动化研究所
2.河南大学计算机与信息工程学院
3.中国科学院大学
Recommended Citation
GB/T 7714
张延宇,曾鹏,臧传治. 智能电网环境下家庭能源管理系统优化调度算法[J]. 电力系统保护与控制,2016,44(2):18-26.
APA 张延宇,曾鹏,&臧传治.(2016).智能电网环境下家庭能源管理系统优化调度算法.电力系统保护与控制,44(2),18-26.
MLA 张延宇,et al."智能电网环境下家庭能源管理系统优化调度算法".电力系统保护与控制 44.2(2016):18-26.
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