COMMUNITY BASED HOME ENERGY MANAGEMENT SYSTEM
DOI:
https://doi.org/10.31436/iiumej.v18i1.657Abstract
In a Smart Grid (SG) scenario, domestic consumers can gain cost reduction benefit by scheduling their Appliance Activation Time (AAT) towards the slots of low charge. Minimization in cost is essential in Home Energy Management Systems (HEMS) to induce consumers acceptance for power scheduling to accommodate for a Demand Response (DR) at peak hours. Despite the fact that many algorithms address the power scheduling for HEMS, community based optimization has not been the focus. This paper presents an algorithm that targets the minimization of energy costs of whole community while keeping a low Peak to Average Ratio (PAR) and smooth Power Usage Pattern (PUP). Objective of cost reduction is accomplished by finding most favorable AAT by Particle Swarm Optimization (PSO) in conjunction with Inclined Block Rate (IBR) approach and Circular Price Shift (CPS). Simulated numerical results demonstrate the effectiveness of CPS to assist the merger of PSO & IBR to enhance the reduction/stability of PAR and cost reduction.Downloads
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References
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[19] Real-time pricing for residential customers, Ameren Illinois Power Co June. 2015 [Online]. Available: https://www2.ameren.com/retailenergy/ realtimeprices.aspx
[2] Pipattanasomporn, M.; Kuzlu, M.; Rahman, S., "An Algorithm for Intelligent Home Energy Management and Demand Response Analysis," in Smart Grid, IEEE Transactions on , vol.3, no.4, pp.2166-2173, Dec. 2012.
[3] Ozturk, Y.; Senthilkumar, D.; Kumar, S.; Lee, G., "An Intelligent Home Energy Management System to Improve Demand Response," in Smart Grid, IEEE Transactions on , vol.4, no.2, pp.694-701, June 2013
[4] T. J. Lui, W. Stirling, and H. O. Marcy, “Get smart,†in Power Energy Magazine, IEEE, vol. 8, no. 3, pp. 66–78, May/Jun. 2010.
[5] Ipakchi, A.; Albuyeh, F., "Grid of the future," in Power and Energy Magazine, IEEE , vol.7, no.2, pp.52-62, March-April 2009
[6] Adika, C.O.; Lingfeng Wang, "Autonomous Appliance Scheduling for Household Energy Management," in Smart Grid, IEEE Transactions on , vol.5, no.2, pp.673-682, March 2014
[7] Jamal Abushnaf, Alexander Rassau, WÅ‚odzimierz Górnisiewicz, “Impact of dynamic energy pricing schemes on a novel multi-user home energy management systemâ€, in Electric Power Systems Research, Volume 125, August 2015, Pages 124-132
[8] Zhuang Zhao; Won Cheol Lee; Yoan Shin; Kyung-Bin Song, "An Optimal Power Scheduling Method for Demand Response in Home Energy Management System," in Smart Grid, IEEE Transactions on , vol.4, no.3, pp.1391-1400, Sept. 2013
[9] Chavali, P.; Peng Yang; Nehorai, A., "A Distributed Algorithm of Appliance Scheduling for Home Energy Management System," in Smart Grid, IEEE Transactions on , vol.5, no.1, pp.282-290, Jan. 2014
[10] Ruilong Deng; Zaiyue Yang; Jiming Chen; Asr, N.R.; Mo-yuen Chow, "Residential Energy Consumption Scheduling: A Coupled-Constraint Game Approach," in Smart Grid, IEEE Transactions on , vol.5, no.3, pp.1340-1350, May 2014
[11] Mohsenian-Rad, A.-H.; Wong, V.W.S.; Jatskevich, J.; Schober, R., "Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid," in Innovative Smart Grid Technologies (ISGT), 2010 , vol., no., pp.1-6, 19-21 Jan. 2010
[12] Hubert, T.; Grijalva, S., "Modeling for Residential Electricity Optimization in Dynamic Pricing Environments," in Smart Grid, IEEE Transactions on , vol.3, no.4, pp.2224-2231, Dec. 2012
[13] Khomami, H.P.; Javidi, M.H., "An efficient home energy management system for automated residential demand response," in Environment and Electrical Engineering (EEEIC), 2013 13th International Conference on , vol., no., pp.307-312, 1-3 Nov. 2013
[14] Yu-Hsiu Lin; Men-Shen Tsai, "An Advanced Home Energy Management System Facilitated by Nonintrusive Load Monitoring With Automated Multiobjective Power Scheduling," in Smart Grid, IEEE Transactions on , vol.6, no.4, pp.1839-1851, July 2015
[15] Pedrasa, M.A.A.; Spooner, T.D.; MacGill, I.F., "Coordinated Scheduling of Residential Distributed Energy Resources to Optimize Smart Home Energy Services," in Smart Grid, IEEE Transactions on , vol.1, no.2, pp.134-143, Sept. 2010
[16] Yantai Huang, Hongjun Tian, Lei Wang, “Demand response for home energy management systemâ€, International Journal of Electrical Power & Energy Systems, Volume 73, December 2015, Pages 448-455
[17] Yanyu Zhang; Peng Zeng; Chuanzhi Zang, "Optimization algorithm for home energy management system based on artificial bee colony in smart grid," in Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on , vol., no., pp.734-740, 8-12 June 2015
[18] Tariq, M.; Zhou, Z.; Wu, J.; Macuha, M.; Sato, T., "Smart grid standards for home and building automation," in Power System Technology (POWERCON), 2012 IEEE International Conference on , vol., no., pp.1-6, Oct. 30 2012-Nov. 2 2012
[19] Real-time pricing for residential customers, Ameren Illinois Power Co June. 2015 [Online]. Available: https://www2.ameren.com/retailenergy/ realtimeprices.aspx
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Published
2017-05-30
How to Cite
Aziz, M. A., Qureshi, I. M., Cheema, T. A., & Rashid, E. A. (2017). COMMUNITY BASED HOME ENERGY MANAGEMENT SYSTEM. IIUM Engineering Journal, 18(1), 43–55. https://doi.org/10.31436/iiumej.v18i1.657
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Electrical, Computer and Communications Engineering
