Commenced in January 2007
Paper Count: 31533
Applying Energy Consumption Schedule and Comparing It with Load Shifting Technique in Residential Load
Abstract:Energy consumption schedule (ECS) technique shifts usage of loads from on peak hours and redistributes them throughout the day according to residents’ operating time preferences. This technique is used as form of indirect control from utility to improve the load curve and hence its load factor and reduce customer’s total electric bill as well. Similarly, load shifting technique achieves ECS purposes but as direct control form applied from utility. In this paper, ECS is simulated twice as optimal constrained mathematical formula, solved by using CVX program in MATLAB® R2013b. First, it is utilized for single residential building with ten apartments to determine max allowable energy consumption per hour for each residential apartment. Then, it is used for single apartment with number of shiftable domestic devices, where operating schedule is deduced using previous simulation output results as constraints. The paper ends by giving differences between ECS technique and load shifting technique via literature and simulation. Based on results assessment, it will be shown whether using ECS or load shifting is more beneficial to both customer and utility.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1316804Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 685
 Rasheed, Muhammad Babar, Nadeem Javaid, Ashfaq Ahmad, Zahoor Ali Khan, Umar Qasim, and Nabil Alrajeh. "An efficient power scheduling scheme for residential load management in smart homes ". Applied Sciences, vol. 5, no. 4, pp. 1134-1163, 2015.
 Ullah, M. N., Nadeem Javaid, I. Khan, Anzar Mahmood, and M. U. Farooq. " Residential energy consumption controlling techniques to enable autonomous demand side management in future smart grid communications ". In Broadband and Wireless Computing, Communication and Applications (BWCCA), Eighth International Conference on, IEEE, 2013, pp. 545-550.
 Atzeni, I., “Distributed demand-side optimization in the smart grid”. Ph.D. thesis, Dept. Signal Theory and Communications, Polytechnic of Catalonia Univ., Barcelona, Spain, 2014.
 Mohsenian-Rad, Amir-Hamed, and Alberto Leon-Garcia. "Distributed internet-based load altering attacks against smart power grids". IEEE Transactions on Smart Grid, vol. 2, no. 4, pp. 667-674, Dec. 2011.
 Ullah, M. N., Anzar Mahmood, S. Razzaq, Manzoor Ilahi, R. D. Khan, and Nadeem Javaid. "A survey of different residential energy consumption controlling techniques for autonomous DSM in future smart grid communications ". arXiv preprint arXiv:1306.1134, Jun. 2013.
 Mohsenian-Rad, Amir-Hamed, Vincent WS Wong, Juri Jatskevich, and Robert Schober. " Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid ". In Innovative Smart Grid Technologies (ISGT), IEEE, 2010, pp. 1-6.
 Qayyum, F. A., Muhammad Naeem, Ahmed Shaharyar Khwaja, Alagan Anpalagan, Ling Guan, and Bala Venkatesh. "Appliance scheduling optimization in smart home networks". IEEE Access, vol. 3, pp. 2176-2190, 2015.
 Kumar JS, and Swarup KS, “Residential Energy Consumption Scheduling Techniques Under Smart Grid Environment”, In International Conference on Wireless and Satellite Systems, Springer, Cham, 2015 Jul 6, pp. 3-17.
 Lee, Junghoon, Hye-Jin Kim, Gyung-Leen Park, and Mikyung Kang. "Energy consumption scheduler for demand response systems in the smart grid". Journal of Information Science and Engineering, vol. 28, no. 5, pp. 955-969, 2012.
 Mohsenian-Rad, Amir-Hamed, and Alberto Leon-Garcia. "Optimal residential load control with price prediction in real-time electricity pricing environments ". IEEE transactions on Smart Grid, vol. 1, no. 2, pp. 120-133, Aug. 2010.
 Mahmood, Anzar, Nadeem Javaid, Muhammad Asghar Khan, and Sohil Razzaq. "An overview of load management techniques in smart grid ". International Journal of Energy Research, vol. 39, no. 11, pp. 1437-1450, 2015.
 NYISO. (2017, September). (Online) Accessed (19/09/2017). Available: http://www.nyiso.com/public/markets_operations/market_data/custom_report/index.jsp
 Raj, P. Ajay-D-Vimal, M. Sudhakaran, and P. Philomen-D-Anand Raj. "Estimation of standby power consumption for typical appliances". Journal of Engineering Science and Technology Review, vol. 2, no. 1, pp. 71-75, Jul. 2009.
 Qayyum, F. A., Muhammad Naeem, Ahmed Shaharyar Khwaja, Alagan Anpalagan, Ling Guan, and Bala Venkatesh. "Appliance scheduling optimization in smart home networks". IEEE Access, vol. 3, pp. 2176-2190, Nov. 2015.
 De Blécourt, M. J, “Load-shifting in a new perspective: Smart scheduling of smart household appliances using an Agent-Based Modelling Approach”. MSc. thesis, Policy analysis, Technology policy and management Univ., Netherlands, Jan. 2012.
 Attia, Hussein A. "Mathematical formulation of the demand side management (DSM) problem and its optimal solution". Proceedings of the 14th International Middle East Power Systems Conference (MEPCON’10). Cairo University, Egypt, Dec. 2010.