Demand response creates an opportunity for consumers to play an important role in the development of smart grids. With the advent of renewable energies and their uncertainties, demand response provides a possible solution to resolve these uncertainties. In addition to demand response schemes in the presence of renewable energy, the personality types of consumers can influence the choice of tariffs and change their electricity costs. In this paper, first, household residents with different types of personalities are considered as energy consumers. Secondly, the uncertainty of renewable energy sources is considered for the distributed generations scheduling by using a stochastic method called the Here-and-Now approach and considering three tariffs, time of use, real-time pricing, and direct load control in the residential sector to reduce total costs. Finally, the tariff 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.

Evaluating the Economic Impact of Users' Personality on Selection of Demand Response Programs

Siano P.;
2023-01-01

Abstract

Demand response creates an opportunity for consumers to play an important role in the development of smart grids. With the advent of renewable energies and their uncertainties, demand response provides a possible solution to resolve these uncertainties. In addition to demand response schemes in the presence of renewable energy, the personality types of consumers can influence the choice of tariffs and change their electricity costs. In this paper, first, household residents with different types of personalities are considered as energy consumers. Secondly, the uncertainty of renewable energy sources is considered for the distributed generations scheduling by using a stochastic method called the Here-and-Now approach and considering three tariffs, time of use, real-time pricing, and direct load control in the residential sector to reduce total costs. Finally, the tariff 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.
2023
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4853078
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