Smart Home Energy Management based on Tasks Interaction

Document Type : Original Article

Authors

Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran

Abstract

In this paper we introduced two types of common household demand, time limited and controlling demands. In this model based on the idea of mutual interaction between these two demands, we propose a new model for home load management. After assigning an innovative concave utility-function model for each demand, we change the common method of summing up the individual utility-functions with multiplication. The introduced model is developed as an MINLP problem that can be successfully handled by available commercial software. The analysis of the numerical examples indicates that they are acceptable in terms of optimality and compliance with actual conditions in human experience. 

Keywords


[1]      S. Nistor, J. Wu, M. Sooriyabandara, J. Ekanayake, “Capability of smart appliances to provide reserve services,” Appl Energy, Vol.138, pp. 590–597, 2015.
[2]      Y. Huang, S. Mao, R. Nelms, “Adaptive electricity scheduling in microgrids,” IEEE Trans Smart Grid, vol. 5, pp. 270-281, 2014.
 
   [3]      ع. محمدویسی، ع. ر. حاتمی، «ارائه چارچوبی برای مدیریت انرژی خانه هوشمند: برنامه‌ریزی بهینه تجهیزات خانگی و برنامه‌ریزی بهینه بهره‌برداری از منابع انرژی تجدیدپذیر»، مجله مهندسی برق دانشگاه تبریز، دوره 45، شماره 1، صفحه 66-53، بهار 1394.
[4]      P. Samadi, H. Mohsenian-Ra, V. Wong, R. Schober, “ Tackling the load uncertainty challenges for energy consumption scheduling in smart grid,” IEEE Trans Smart Grid, vol. 4, pp. 1007-1016,  2013.
[5]      P. Samadi, H. Mohsenian-Rad, R. Schober, V. Wong, “ Advanced demand side management for the future smart grid using mechanism design,” IEEE Trans Smart Grid, vol 3, pp. 1170-1180, 2012.
[6]      M. Pedrasa, T. D. Spooner, I. F. MacGill, “Coordinated scheduling of residential distributed energy resources to optimize smart home energy services,” IEEE Trans Smart Grid, vol 1, pp. 1170-1180, 2010.
[7]      K. M. Tsui, S. C. Chan, “Demand response optimization for smart home scheduling under real-time pricing,” IEEE Trans Smart Grid, vol. 3, pp. 1812-1821, 2012.
[8]      Z. Zhu, J. Tang, S. Lambotharan, W. H. Chin, Z. Fan, “An integer linear programming based optimization for home demand-side management in smart grid,” In Proceedings of IEEE Innovative Smart Grid Technologies (ISGT), Jan. 2012.
[9]      م. ضیایی، الف. کاظمی، م. فیروزآبادی، م. پروانیا، «تأمین پاسخ تقاضا از طریق پیاده‌سازی کنترل مستقیم بارهای تهویه مطبوع خانگی توسط خرده‌فروشان توان»، مجله مهندسی برق دانشگاه تبریز، دوره 42، شماره 1، صفحه 38-27، بهار 1391.
[10]      Sou KC, Weimer J, Sandberg H, Johansson KH. Scheduling smart home appliances using mixed integer linear programming. In Proceedings of 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), Dec. 2011.
[11]      O. Erdinc, “Economic impacts of small-scale own generating and storage units, and electric vehicles under different demand response strategies for smart households,” Appl Energy, vol 126, pp. 142-150, 2014.
[12]      M. Rastegar, M. Fotuhi-Firuzabad, F. Aminifar, “Load commitment in a smart home,” Appl Energy, vol 96m pp. 45-54, 2012.
[13]      P. Finn, M. O’Connell, C. Fitzpatrick, “Demand side management of a domestic dishwasher: Wind energy gains, financial savings and peak-time load reduction,” Appl Energy, vol 101, pp. 678-685, 2013.
[14]      A. Anees, Y. Che, “ True real time pricing and combined power scheduling of electric appliances in residential energy management system,” Appl Energy, vol. 165, pp. 592-600, 2016.
[15]      N.Li, L. Chen, S. H. Low, “Optimal demand response based on utility maximization in power networks,” In Proceedings of IEEE: Power and Energy Society General Meeting,  24-29 July, 2011.
[16]      Y. Zhang, M. Schaar, “Structure-aware stochastic load management in smart grids,” In Proceedings of IEEE Infocom, 27 April-2 May 2014.
[17]      B. Jiang, Y. Fei, “Smart Home in smart microgrid: A cost-effective energy ecosystem with intelligent hierarchical agents,” IEEE Trans Smart Grid, vol.  6, pp. 3-13, 2015.
[18]      D. Setlhaolo, X. Xia, J. Zhang, “Optimal scheduling of household appliances for demand response,” Journal of Electric Power Systems Research, vol. 116, pp. 24-28, 2014.
[19]      B. Chai, Z. Yang, K. Gao, T. Zhao, “Iterative learning for optimal residential load scheduling in smart grid,” Journal of Ad Hoc Networks, vol. 41, pp. 99-111, 2016.
[20]      A. H. Mohsenian-Rad, A. Leon-Garcia, “Optimal residential load control with price prediction in real-time electricity pricing environments, IEEE Trans Smart Grid, vol. 1, pp. 120-133, 2010.
[21]      R.E. Hall, M. Lieberman: Economics: Principles and applications, 6th Edition, Cengage Learning, 2012.
[22]      H. T. Roh, J. W. Lee, “Residential demand response scheduling with multiclass appliances in the smart grid,” IEEE Trans Smart Grid, vol. 7, pp. 94-104, 2016.
[23]      پایگاه اطلاع‌رسانی مرکز مطالعات و  پژوهش‌های بنیادی (مسیر نما):
http://masirnama.ir/new/index.php/2014-10-28-22-32-52/194-1128.
[24]      Yr online weather service:www.yr.no/place/Iran/Esfahan/Isfahan/