Abstract
In recent years the load demand by residential consumers are rapidly increasing due to the usage of many electric appliances in daily needs. Load demand during peak hours is becoming increasingly larger than off-peak hours, which is the major reason for inefficiency in generation capacity. Introduction of smart grid technology in Demand Side Management programs provides an alternative to installation of new generation units. Consumers can play a major role in reducing their energy consumption by communicating with utilities so that they can minimize their energy costs and get incentives, which also helps utilities in many ways. Smart grid technologies provide opportunities to employ different pricing schemes which also help in increasing the efficiency of appliance scheduling techniques. Optimal energy consumption scheduling reduces the peak load demand in peak hour. Peak average ratio (PAR) also minimizes the energy consumption cost. In this paper, we observes different energy consumption scheduling techniques that schedule the house hold appliances in real-time to achieve minimum energy consumption cost and to reduce peak load demand in peak hours to shape the peak load demand. Formulation and Solution methodology of residential energy consumption scheduling is presented with simulation results illustrating the working of the model.
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References
Masters, G.M.: Renewable and Efficient Electric Power Systems, Hoboken. Wiley, Hoboken (2004)
Assessment of Demand Response & Advanced Meter in Staff Report, FERC (2011)
Kondoh, J.: Direct load control for wind power integration. In: IEEE Power and Energy Society General Meeting, pp. 1–8 (2011)
Zhang, Q., Wang, X., Fu, M.: Optimal implementation strategies for critical peak pricing. In: 6th International Conference on the European Energy Market (2009)
Salinas, S., Li, M., Li, P.: Multi-objective optimal energy consumption scheduling in smart grids. Smart Grid. IEEE Trans. Smart Grid 4(1), 341–348 (2013)
Mohsenian-Rad, V., Wong, J., Jateskevich, R.: Schober and A. Leon-Garcia, “Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid”. IEEE transactions on Smart Grid 1(3), 320–331 (2010)
Wood, A.J., Wollenberg, B.F.: Power Generation, Operation, and Control. Wiley-Interscience, New York (1996)
Zhu, Z., Tang, J., Lambotharan, S., Chin, W.H., Fan, Z.: An integer linear programming and game theory based optimization for demand-side management in smart grid. In: Proceedings IEEE GLOBECOM Workshops (GC Workshop), Loughborough, UK (2011)
Strbac, G.: Demand side management: Benefits and challenges. Energy Policy 36(12), 4419–4426 (2008)
Abebe Geletu, Dr.: Solving Optimization Problems using the Matlab Optimization Toolbox - a Tutorial (2007)
Venkataraman, P.: Applied Optimization With MATLAB Programming. Rochester Institute of Technology, New York (2005)
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© 2015 Institute for Computer Sciences, Social informatics and Telecommunication Engineering
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Santosh Kumar, J., Shanti Swarup, K. (2015). Residential Energy Consumption Scheduling Techniques Under Smart Grid Environment. In: Pillai, P., Hu, Y., Otung, I., Giambene, G. (eds) Wireless and Satellite Systems. WiSATS 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 154. Springer, Cham. https://doi.org/10.1007/978-3-319-25479-1_1
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DOI: https://doi.org/10.1007/978-3-319-25479-1_1
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