2011Journal of Convergence Information TechnologyRequires access

Study of Various Electricity Load Management Models Under Campus Scale Smart Grid Environment

Jin Wang, Sungyoung Lee -, JeongUk Kim -

Open publisher page 3 citations

Abstract

Electricity consumption management becomes more and more important with urban development and it provides an efficient way to prevent large scale blackout, to reduce environmental pollution as well as to extend the usage period of underground mineral resources. In this paper, we first study various intelligent electricity pricing models such as direct load control, time of use, critical peak pricing and real time pricing etc. which can shift load consumption from peak time to off-peak time. Then, we propose our campus scale demand response platform which integrates various electricity pricing models into it. In this way the electricity operator or utility can apply their specific pricing model to the users or participants who can efficiently manage their electricity consumption in home. Two types of demand response programs are illustrated with detailed working process and simulation results are also provided to show the effectiveness of demand response program.

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What this paper is about

Electricity consumption management becomes more and more important with urban development and it provides an efficient way to prevent large scale blackout, to reduce environmental pollution as well as to extend the usage period of underground mineral resources. In this paper, we first study various intelligent electricity pricing models such as direct load control, time of use, critical peak pricing and real time pricing etc. which can shift load consumption from peak time to off-peak time. Then, we propose our campus scale demand response platform which integrates various electricity pricing models into it. In this way the electricity operator or utility can apply their specific pricing model to the users or participants who can efficiently manage their electricity consumption in home. Two types of demand response programs are illustrated with detailed working process and simulation results are also provided to show the effectiveness of demand response program.

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Available abstract

Electricity consumption management becomes more and more important with urban development and it provides an efficient way to prevent large scale blackout, to reduce environmental pollution as well as to extend the usage period of underground mineral resources. In this paper, we first study various intelligent electricity pricing models such as direct load control, time of use, critical peak pricing and real time pricing etc. which can shift load consumption from peak time to off-peak time. Then, we propose our campus scale demand response platform which integrates various electricity pricing models into it. In this way the electricity operator or utility can apply their specific pricing model to the users or participants who can efficiently manage their electricity consumption in home. Two types of demand response programs are illustrated with detailed working process and simulation results are also provided to show the effectiveness of demand response program.

Key concepts: Smart grid, Computer science, Electricity, Scale (ratio), Grid, Electrical engineering, Engineering, Geology

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