全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于模型预测控制的家庭能源局域网最优能量管理研究

DOI: 10.13334/j.0258-8013.pcsee.2015.14.021, PP. 3656-3666

Keywords: 能源互联网,模型预测控制,家庭能源局域网,混合整数二次规划,可再生能源

Full-Text   Cite this paper   Add to My Lib

Abstract:

能源互联网是解决未来大规模可再生能源发电接入,提高电力质量与用户需求侧管理水平,以及增强电网系统安全性、可靠性、经济性的重要手段。未来家庭能源局域网作为能源互联网的一种子网,由可再生能源发电设备、分布式可控发电设备、储能系统、电动汽车和智能负载等组成,有必要对其进行最优能量管理以实现经济、安全地运行,并与其它能源局域网协同以提高能源互联网系统的整体性能。文中在建立家庭能源局域网系统结构模型的基础上,构建家庭能源局域网能量管理的混合整数二次规划模型,并运用模型预测控制方法实现该能源局域网的在线能量管理。仿真结果表明,文中提出的基于模型预测控制的家庭能源局域网能量管理策略能够有效实现能量的优化分配,并在预测不确定性环境下具有较强的鲁棒性。

References

[1]  查亚兵,张涛,黄卓,等.能源互联网关键技术分析[J].中国科学:信息科学,2014,44(6):702-713 .Zha Yabing,Zhang Tao,Huang Zhuo,et al.Analysis of energy internet key technologies[J].Scientia Sinica Informationis,2014,44(6):702-713(in Chinese).
[2]  董朝阳,赵俊华,文福栓,等.从智能电网到能源互联网:基本概念与研究框架[J].电力系统自动化.2014,38(15):1-11.Dong Zhaoyang,Zhao Junhua,Wen fushuan,et al.From smart grid to energy internet:basic concept and research framework[J].Automation of Electric Power Systems,2014,38(15) :1-11(in Chinese).
[3]  Zhang Di,Shah N,Papageorgiou L G.Efficient energy consumption and operation management in a smart building with microgrid[J].Energy Conversion and Management,2013,74(10): 209-222.
[4]  Rim Missaoui, Hussein Joumaa,Stephane Ploix,et al.Managing energy Smart Homes according to energy prices: analysis of a building energy management system[J].Energy and Buildings,2014,71(3):155-167.
[5]  Chen Chen,Wang Jianhui,Kishore S.A distributed direct load control approach for large-scale residential demand response[J].IEEE Transactions on Power Systems,2014,29(5):2219-2228.
[6]  Mohammad Rastegar,Mahmud Fotuhi-Firuzabad,Farrokh Aminifar.Load commitment in a smart home[J].Applied Energy,2012,96(8):45-54.
[7]  王江波,费标清,王越,等.户用微电网能量调度日前计划研究[J].电测与仪表,2013,50(8):81-86.Wang Jiangbo,Fei Biaoqing,Wang Yue,et al.Research on energy dispatch day-ahead schedule for household microgrids[J].Electrical Measurement & Instrumentation,2013,50(8):81-86(in Chinese).
[8]  Zhe Yu, Liyan Jia, Mary C. Murphy-Hoye, et al. Modeling and Stochastic Control for Home Energy Management [J].IEEE Transactions on Smart Grid,2013,4(4):2244-2255.
[9]  Francesco De Angelis,Matteo Boaro,Danilo Fuselli,et al.Optimal home energy management under dynamic electrical and thermal constraints[J].IEEE Transactions on Industrial Informatics,2013,9(3):1518-1527.
[10]  Alessandro Di Giorgio,Laura Pimpinella.An event driven smart home controller enabling consumer economic saving and automated demand side management [J].Applied Energy,2012,96(8):92-103.
[11]  Ozan Erdinc.Economic impacts of small-scale own generating and storage units,and electric vehicles under different demand response strategies for smart households [J].Applied Energy,2014,126(8):142-150.
[12]  Chen Chen,Jianhui Wang,Yeonsook Heo,et al.MPC-based appliance scheduling for residential building energy management controller[J].IEEE Transactions on Smart Grid,2013,4(3): 1401-1410.
[13]  Phillip Oliver Kriett,Matteo Salani.Optimal control of a residential microgrid.Energy,2012,42(6):321-330
[14]  Shin Jae Kang,Jungsung Park,Ki-Yong Oh,et al.Scheduling-based real time energy flow control strategy for building energy management system [J].Energy and Buildings,2014,75(7):239-248.
[15]  Alessandra Parisio,Evangelos Rikos,Luigi Glielmo.A model predictive control approach to microgrid operation optimization[J].IEEE Transactions on Control Systems Technology,2014,2(5):1813-1827.
[16]  Ditiro Setlhaolo,Xia Xiaohua,Zhang Jiangfeng.Optimal scheduling of household appliances for demand response[J].Electric Power Systems Research,2014,116(11):24-28.
[17]  Peng Yang,Phani Chavali,EladGilboa,et al.Parallel load schedule optimization with renewable distributed generators in smart grids[J].IEEE Transactions on Smart Grid,2013,4(3):1431-1441.
[18]  刘向杰,孔小兵.电力工业复杂系统模型预测控制—现状与发展[J].中国电机工程学报,2013,33(5):79-85.Liu XiangJie,Kong Xiaobing.Present situation and prospect of mode predictive control application in complex power industrial process[J].Proceedings of the CSEE,2013,33(5):79-85(in Chinese).
[19]  张伯明,陈建华,吴文传.大规模风电接入电网的有功分层模型预测控制方法[J].电力系统自动化,2014,38(9):6-18.Zhang Boming,Cheng Jianhua,Wu Wenchuan.A hierarchical model predictive control method of active power for accommodating large-scale wind power integration[J].Automation of Electric Power Systems,2014,38(9):6-18(in Chinese).
[20]  Hemdan N G A.,Kurrat M.Interconnection of decentralized renewable resources into distribution grids:implications and planning aspects[J].Electric Power Systems Research,2011,81(7):1410-1423.
[21]  Kevin Lo.A critical review of China's rapidly developing renewable energy and energy efficiency policies [J].Renewable and Sustainable Energy Reviews,2014,29:508-516.
[22]  Delmas M A,Montes-Sancho M J.US state policies for renewable energy:Context and effectiveness[J].Energy Policy,2011,39(5) :2273-2288.
[23]  张晓花,赵晋泉,陈星莺.节能减排下含风电场多目标机组组合建模及优化[J].电力系统保护与控制,2011,39(17):33-39.Zhang Xiaohua,Zhao Jinquan,Chen Xingyin.Multi- objective unit commitment modeling and optimization for energy-saving and emission reduction in wind power integrated system[J].Power System Protection and Control,2011,39(17) :33-39(in Chinese).
[24]  Zhang Yan,Liu Baolong,Zhang Tao,et al.An intelligent control strategy of battery energy storage system for microgrid energy management under forecast uncertainties [J].International.Journal of Electrochemistry,2014,9(5):4190-4204.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133