A Residential Load Scheduling Based on Cost Efficiency and Consumer's Preference for Demand Response in Smart Grid

With the wide application of consumer's electric appliances with flexible power supply or start time and competitive energy markets, it is necessary for the residential consumers to optimize the power scheduling strategy. The existing methods require consumer's awareness, flexibility, and timely responsiveness which remain an obstacle due to the impacts on the lifestyle and preference of consumers. To overcome the obstacle, this paper proposed a residential load scheduling algorithm based on cost efficiency (CE) and consumer's preference (CP) for demand response in smart grid. In this proposed method, the CP is modeled based on the load scheduling framework, the CE based on CP is modeled to measure the effectiveness of consumption expenditure and the relationship between the CE and CP is investigated. Meanwhile, by analyzing the consumer's lifestyle, we develop a load scheduling algorithm based on CE and CP to effectively reflect and affect user's consumption behavior and achieve the optimal energy consumption profile. The method is demonstrated using real data sets. The simulation results show that there is a positive correlation between CE and CP. The proposed method realizes a desired trade-off between the economic efficiency and CP, helping the consumers to enjoy convenience while saving costs.