An integrated approach for multi-objective optimisation and MCDM of energy internet under uncertainty

Energy Internet represents a critical breakthrough which is regarded as the synthetic product of information communication technologies and energy technologies. It is highly conducive to providing possible solutions for transforming energy management methods, reducing carbon emissions and achieving sustainable development. The extensive attention of scholars has been drawn to the progress of Energy Internet. However, the multi-objective optimisation and multi-criteria decision making (MCDM) for Energy Internet considering uncertainty still has some problems. (1) The actual number of optimisation objectives for Energy Internet design is more than two so that it is difficult to adopt conventional intelligence algorithms to solve it. (2) Most intelligence algorithms for double-objective optimisation model are not desirable. (3) The MCDM process of Energy Internet is not considered systematically. To solve these problems, an integrated approach combining improved great deluge algorithm (GDA), evidence reasoning (ER), interval algorithm, and fuzzy grey correlation analysis for multi-objective optimisation and MCDM of Energy Internet considering uncertainty is proposed in this paper. The practicality and effectiveness of the proposed approach are illustrated by a visual case study of Energy Internet design. (C) 2019 Elsevier B.V. All rights reserved.