A Dynamic Electricity Tariff Survey for Smart Grid in South Korea
Eunjoo Kim, Yongki Kim, Wonsuk Ko
In this paper, an analysis for consumer perception of the level of electricity price, the amount of household electricity consumption and consumer perception on dynamic electricity pricing system in South Korea are investigated. A survey was conducted between July 24 and August 17, 2015 and then for the preference analysis, Binary Logistic Model is applied for the acceptance, Ordered Probit Model is applied. The major findings say that the less they have monthly income, the more satisfied dynamic pricing. In dynamic electricity tariff, real time pricing is most preferred dynamic pricing system and it reaches about 40% of respondents.