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A new scheme on dynamic pricing of electricity in a smart grid is proposed in this research article. Also the consumer's demand behavior and response is analyzed. With the smart grid it is possible to determine and communicate the real time prices of electricity like other market goods and evaluate the variation in demand. Utility can exploit the natural human response that is reduction in demand...
This work proposes a time-of-use (ToU) tariff calculation based on Optimal Dynamic Tariff Method (ODTM) for both peak and off-peak periods. The proposed approach is formulated as a non-linear program where Shifted Demand (SD) from peak to off-peak is considered as an optimization variable as well as peak and off-peak tariffs. The proposed model takes into account consumer behavior when a change in...
This paper analyses the potential of demand response (DR) in households considering smart appliances and electric vehicles (EV). A model-based analysis allows calculating the technically possible and economically feasible load-shifting potential, while behavioral analysis enables estimating the potential of the model with real-user experiences in a smart home laboratory. The modeling results show...
In this paper, we propose new models for consumer demand response estimation in a smart energy environment, where consumers have access to real time electricity pricing information and can respond to price signals by changing their energy consumption through a two-way communication system. We introduce a stochastic model that differentiates and characterizes two principal constituents of consumers...
Demand response is expected to play a crucial role in many aspects of "smart grid" technologies being examined in recently undertaken demonstration projects. The behavior of load as it is affected by load control strategies is key to understanding the degree to which various classes of end-use load can contribute to demand response programs at various times. This paper examines a simple...
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