Multi-class appliance scheduling for cost-effective energy management with constraint and user preferences

Document Type : Article

Authors

Department of Electronics and Communication Engineering, Sri Sivasubramaniya Nadar College of Engineering, Tamilnadu, India

Abstract

For decades, the electrical power grid worldwide has transformed from traditional to the smart power grid, focusing on its transparency to both utility and consumer. The energy management systems play a substantial part in demand response within the smart power grid umbrella, enabling demand-side management at the residential level. These systems generate the consumption profile of appliances and reduce the burden on end-user in scheduling appliances operations. With these consumption profiles of past usage, there is a possibility to generate a time window containing user preferable time slots for appliance operation for the next day. Using this time window, one can generate a cost-effective schedule-pattern autonomously. In this regard, this article proposes a home energy-demand management scheme consisting of a time window generator and a schedule-pattern generator to generate a cost-effectively comfortable schedule-pattern with demand threshold constraint. Multi-class appliances home enabled with a net-meter demonstrate the proposed approach's effectiveness. The simulation results showcase that the proposed approach helps the user to save electricity bills with constraint preserving comfort.

Keywords


References:
1. Majid, M.S., Rahman, H.A., Hassan, M.Y., et al. "Demand side management using direct load control for residential", 2006 4th Student Conference on Research and Development, Selangor, pp. 241-245 (2006).
2. Perez-Lombard, L., Ortiz, J., and Pout, C. "A review on buildings energy consumption information", Energy and Buildings, 40(3), pp. 394-398 (2008).
3. Khajavi, P., Monsef, H., and Abniki, H. "Load profile reformation through demand response programs using smart grid", 2010 Modern Electric Power Systems, Wroclaw, pp. 1-6 (2010).
4. Mohsenian-Rad, A., Wong, V.W.S., Jatskevich, J., et al. "Autonomous demand-side management based on game theoretic energy consumption scheduling for the future smart grid", IEEE Transaction on Smart Grid, 1(3), pp. 320-331 (2010).
5. Mohsenian-Rad, A.H. and Leon-Garcia, A. "Optimal residential load control with price prediction in realtime electricity pricing environments", IEEE Transaction on Smart Grid, 1(2), pp. 120-133 (2010).
6. Conejo, A.J., Morales, J.M., and Baringo, L. "Realtime demand response model", IEEE Transactions on Smart Grid, 1(3), pp. 236-242 (2010).
7. Kimand, T.T. and Poor, H.V. "Scheduling power consumption with price uncertainty", IEEE Transaction on Smart Grid, 2, pp. 519-527 (2011).
8. Xiong, G., Chen, C., Kishore, S., et al. "Smart (inhome) power scheduling for demand response on the smart grid", Proc. IEEE Conference on Innovative Smart Grid Technologies (ISGT), Anaheim, CA, USA, pp. 1-7 (2012).
9. Loenthiran, T., Srinivasan, D., and Shun, T.Z. "Demand side management in smart grid using heuristic optimization", IEEE Transaction on Smart Grid, 3, pp. 1244-1252 (2012).
10. Chen, Z., Wu, L., and Fu, Y. "Real-time pricebased demand response management for residential appliances via stochastic optimization and robust optimization", IEEE Transaction on Smart Grid, 3, pp. 1822-1831 (2012).
11. Chen, X., Wei, T., and Hu, S. "Uncertainty-aware household appliance scheduling considering dynamic electricity pricing in smart home", IEEE Transactions on Smart Grid, 4(2), pp. 932-941 (2013).
12. Zhao, Z., Lee, W.C., Shin, Y., et al. "An optimal power scheduling method for demand response in home energy management system", IEEE Transactions on Smart Grid, 4(3), pp. 1391-1400 (2013).
13. Agnetis, A., Pascale, G., Detti, P., et al. "Load scheduling for household energy consumption optimization", IEEE Transactions on Smart Grid, 4(4), pp. 2364-2373 (2013).
14. Liu, Y., Yuen, C., Huang, S., et al. "Peak-to-average ratio constrained demand-side management with consumer's preference in residential smart grid", IEEE Journal of Selected Topics in Signal Processing, 8, pp. 1084-1097 (2014).
15. Roh, H.T. and Lee, J.W. "Residential demand response scheduling with multi-class appliances in the smart grid", IEEE Transaction on Smart Grid, 7, pp. 94-104 (2016).
16. Pipattanasomporn, M., Kuzlu, M., and Rahman, S. "An algorithm for intelligent home energy management and demand response analysis", IEEE Transactions on Smart Grid, 3(4), pp. 2166-2173 (2012).
17. Jo, H., Kim, S., and Joo, S. "Smart heating and air conditioning scheduling method incorporating customer convenience for home energy management system", IEEE Transactions on Consumer Electronics, 59(2), pp. 316-322 (2013).
18. Ogwumike, C., Short, M., and Abugchem, F. "Heuristic optimization of consumer electricity costs using a generic cost model", Energies, 9, p. 6 (2015).
19. Althaher, S., Mancarella, P., and Mutale, J. "Automated demand response from home energy management system under dynamic pricing and power and comfort constraints", IEEE Transactions on Smart Grid, 6(4), pp. 1874-1883 (2015).
20. Ma, K., Yao, T., Yang, J., et al. "Residential power scheduling for demand response in smart grid", International Journal of Electrical Power & Energy Systems, 78, pp. 320-325 (2016).
21. Safdarian, A., Fotuhi-Firuzabad, M., and Lehtonen M."Optimal residential load management in smart grids: A decentralized framework", IEEE Transactions on Smart Grid, 7(4), pp. 1836-45 (2016).
22. Pilloni, V., Floris, A., Meloni, A., et al. "Smart home energy management including renewable sources: a qoe-driven approach", IEEE Transactions on Smart Grid, 9(3), pp. 2006-2018 (2018).
23. Ganesh Kumar, C. and Premanand V.C. "Demand response management system with discrete time window using supervised learning algorithm", Cognitive Systems Research, 57, pp. 131-138 (2019).
24. Javaid, N., Ahmed, F., Ullah, I., et al. "Towards cost and comfort based hybrid optimization for residential load scheduling in a smart grid", Energies, 10, p. 1546 (2017).
25. Dong, M., Meira, P.C.M., Xu, W., et al. "An event window based load monitoring technique for smart meters", IEEE Transactions on Smart Grid, 3(2), pp. 787-796 (2012).
26. Indian Energy Exchange "Day ahead market, area prices, S2", [Online], Available at: https://www. iexindia.com/marketdata/areaprice.aspx.