Evaluating the economic impact of users' personality on the selection of demand response programs Publisher: CSEE Cite This PDF

Abstract

Demand response creates an opportunity for consumers to play an important role in the development of the smart grids. With the advent of renewable energies and their uncertainty, demand response is a possible way to resolve this uncertainty. In addition to demand response schemes in the presence of renewable energy, personality types of the consumers can influence the choice of tariffs and change the electricity costs. In this paper, firstly, household's residents are considered with different types of personality as energy consumers. Secondly, the uncertainty of renewable energy sources is considered for the distributed generations scheduling by using a stochastic method named Here-and-Now approach and considering three tariffs, time of use, real-time pricing, and direct load control in the residential sector to reduce the total cost. Finally, the tariffs choice is compared based on people preferences via various personality types, the Myers-Briggs Type Indicator test, and simulations results. Also, a probabilistic unit commitment methodology is used for distributed generations scheduling to minimize the total cost. The financial losses caused by non-optimal tariffs selection are determined through the comparison of tariffs. Simulation results show that time of use and direct load control tariffs are optimal ones in summer and winter seasons, respectively.

Bargaining game based on psychological cost of electric vehicles and risk assessment of aggregators

“…Reference [14] developed a value function of prospect theory to characterize consumer's risk attitude and describe the psychological factor. Reference [15] analysed the influence of consumer personalized type on electricity price and electricity cost. Reference [16] proposed a behaviour control theory and various psychological incentive models to improve the participation of producers to the expected level.…”