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The electric vehicle (EV), a promising technique to reduce transportation emissions, is one of the most important household appliances for demand response. Under the real-time pricing environment in smart grid, EV owners are faced with the EV charging scheduling problem to minimize electricity cost. Existing works focused on offline solutions or Markov decision processes which require full or statistical...
In this paper, the implementation and utilization of visualization tools for monitoring the operations of a real-time pricing demonstration system that runs at a distribution feeder level are presented. The information these tools provide gives insights into demand behavior from automated price responsive devices, distribution feeder characteristics, impact of weather on system's development, and...
The curtailment of the peak demand has great economic and environmental benefits. In this paper, an efficient price profile under the Real-Time Pricing (RTP) option is found out to optimize the regional domestic daily electric load curve. The domestic electric appliances are divided into eight categories, with respect to the difference of their self-price elasticity and cross-price elasticity. In...
This paper proposes a Real-Time Pricing (RTP)-based power scheduling scheme as demand response for residential power usage. In this scheme, the Energy Management Controller (EMC) in each home and the service provider form a Stackelberg game, in which the EMC who schedules appliances' operation plays the follower level game, and the provider who sets the real-time prices according to current power...
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