Scheduling Interdependent Smart Appliances with Mixed-Preemption Policy for Peak Load Minimization

References

• S. Maharjan, Q. Zhu, Y. Zhang, S. Gjessing and T. Bcsar, “Demand response management in the smart grid in a large population regime,” IEEE. Trans. Smart. Grid., Vol. 7, pp. 189–199, Jan. 2016. doi: 10.1109/TSG.2015.2431324
   Web of Science ®Google Scholar
• K. Bharti, V. P. Singh and S. P. Singh, “Impact of intelligent demand response for load frequency control in smart grid perspective,” IETE J. Res., Vol. 0, no. 0, pp. 1–12, 2020. doi: 10.1080/03772063.2019.1709570
   Google Scholar
• P. U. Herath, et al. “Computational intelligence-based demand response management in a microgrid,” IEEE Trans. Ind. Appl., Vol. 55, pp. 732–740, Jan. 2019. doi: 10.1109/TIA.2018.2871390
   Web of Science ®Google Scholar
• S. L. Arun and M. P. Selvan, “Intelligent residential energy management system for dynamic demand response in smart buildings,” IEEE Syst. J., Vol. 12, pp. 1329–1340, June 2018. doi: 10.1109/JSYST.2017.2647759
   Web of Science ®Google Scholar
• Q. Tang, K. Yang, D. Zhou, Y. Luo and F. Yu, “A real-time dynamic pricing algorithm for smart grid with unstable energy providers and malicious users,” IEEE Int. Things J., Vol. 3, pp. 554–562, Aug. 2016. doi: 10.1109/JIOT.2015.2452960
   Web of Science ®Google Scholar
• R. Sharifi, A. Anvari-Moghaddam, S. H. Fathi, J. M. Guerrero and V. Vahidinasab, “Dynamic pricing: an efficient solution for true demand response enabling,” J. Renew. Sustain. Energy, Vol. 9, no. 6, pp. 065502, 2017.
   Web of Science ®Google Scholar
• A. Fallahi, J. M. Rosenberger, V. C. P. Chen, W. Lee and S. Wang, “Linear programming for multi-agent demand response,” IEEE Access., Vol. 7, pp. 181479–181490, 2019. doi: 10.1109/ACCESS.2019.2959727
   Web of Science ®Google Scholar
• B. Barabadi and M. H. Yaghmaee, “A new pricing mechanism for optimal load scheduling in smart grid,” IEEE Syst. J., Vol. 13, pp. 1737–1746, June 2019. doi: 10.1109/JSYST.2019.2901426
   Web of Science ®Google Scholar
• K. Stenner, E. R. Frederiks, E. V. Hobman and S. Cook, “Willingness to participate in direct load control: the role of consumer distrust,” Appl. Energy., Vol. 189, pp. 76–88, 2017. doi: 10.1016/j.apenergy.2016.10.099
   Web of Science ®Google Scholar
• H. Mortaji, S. H. Ow, M. Moghavvemi and H. A. F. Almurib, “Load shedding and smart-direct load control using internet of things in smart grid demand response management,” IEEE Trans. Ind. Appl., Vol. 53, pp. 5155–5163, Nov. 2017. doi: 10.1109/TIA.2017.2740832
   Web of Science ®Google Scholar
• B. Yener, A. K. Erenoğlu, I. Şengör, O. Erdinç, A. Taşcıkaraoğlu and J. P. S. Catalão, “Development of a smart thermostat controller for direct load control based demand response applications,” in 2019 International Conference on Smart Energy Systems and Technologies (SEST), Sep. 2019, pp. 1–5.
   Google Scholar
• O. Alrumayh and K. Bhattacharya, “Flexibility of residential loads for demand response provisions in smart grid,” IEEE Trans. Smart. Grid., Vol. 10, pp. 6284–6297, Nov. 2019. doi: 10.1109/TSG.2019.2901191
   Web of Science ®Google Scholar
• Z. Wang, “Layered stochastic approach for residential demand response based on real-time pricing and incentive mechanism,” IET Gener. Transm. Distrib., Vol. 14, no. 8, pp. 423–431, Feb. 2020. doi: 10.1049/iet-gtd.2019.1135
   Google Scholar
• A. Gholian, H. Mohsenian-Rad and Y. Hua, “Optimal industrial load control in smart grid,” IEEE Trans. Smart. Grid., Vol. 7, pp. 2305–2316, Sep. 2016. doi: 10.1109/TSG.2015.2468577
   Web of Science ®Google Scholar
• J. S. Vardakas, N. Zorba and C. V. Verikoukis, “A survey on demand response programs in smart grids: pricing methods and optimization algorithms,” IEEE Commun. Surv. Tutor., Vol. 17, pp. 152–178, Firstquarter 2015. doi: 10.1109/COMST.2014.2341586
   Web of Science ®Google Scholar
• H. O. Alwan and S. Abdelwahed, “Demand side management- literature review and performance comparison,” in 2019 11th International Conference on Computational Intelligence and Communication Networks (CICN), Jan. 2019, pp. 93–102.
   Google Scholar
• S. Tang, J. Yuan, Z. Zhang and D.-Z. Du, “Igreen: Green scheduling for peak demand minimization,” J. Global Optim., Vol. 69, pp. 45–67, Sept. 2017. doi: 10.1007/s10898-017-0524-y
   Web of Science ®Google Scholar
• A. Ranjan, P. Khargonekar and S. Sahni, “Smart grid power scheduling via bottom left decreasing height packing,” in 2016 IEEE Symposium on Computers and Communication (ISCC), Jun. 2016, pp. 1128–1133.
   Google Scholar
• N. Chakraborty, A. Mondal and S. Mondal, “Efficient scheduling of nonpreemptive appliances for peak load optimization in smart grid,” IEEE Trans. Industr. Inform., Vol. 14, pp. 3447–3458, Aug. 2018. doi: 10.1109/TII.2017.2781284
   Web of Science ®Google Scholar
• N. Chakraborty, A. Mondal and S. Mondal, “Intelligent scheduling of smart appliances in energy efficient buildings: A practical approach,” in 2019 32nd International Conference on VLSI Design and 2019 18th International Conference on Embedded Systems (VLSID), Jan. 2019, pp. 516–517.
   Google Scholar
• B. Baker, E. Coffman and Jr. R. Rivest, “Orthogonal packings in two dimensions,” SIAM J. Comput., Vol. 9, no. 4, pp. 846–855, 1980. doi: 10.1137/0209064
   Web of Science ®Google Scholar