A secured transactive energy management framework for home AC/ DC microgrids

This paper proposes a novel secured transactive energy management framework for home AC/DC microgrids considering the uncertainty concerns. The proposed model is constructed using the advanced directed acyclic graph method to guarantee the privacy and security of nodes when attending the optimal scheduling problem. A technical-economic model is utilized for the fuel cell for increasing its efficiency based on the hydrogen and thermal energy recovery. Moreover, a novel optimization solution based on whale optimization algorithm is proposed to solve the problem in a constrained mixed integer nonlinear structure. Due to the high uncertainty issues, an entropy-entropy model based on fuzzy cloud theory is deployed which models the uncertainty of the mean value and the standard deviation value, simultaneously.