Economic evaluation of power system dispatch with hesitant fuzzy uncertain linguistic information

摘要

With the rapid development of economy, the growth of energy demand and the improvement of environmental awareness prompted the development of wind, which is clean and do not consume fossil fuel. As wind power technology has been basically mature, wing power becomes the power generation model in renewable energy with good development prospects. The intermittent and volatility of wind farm's output has brought great influence on power system operation. In order to use of wind power fully and effectively, reduce pollution emissions, cut scheduling costs, reduce the influence of the wind power uncertainty on power system, the reasonable scheduling model and solving method is of great significance. In this paper, we investigate the multiple attribute decision making (MADM) problem with hesitant fuzzy uncertain linguistic information. Then, motivated by the ideal of induced OWA (IOWA) operator, we have developed the induced hesitant fuzzy uncertain linguistic ordered weighted averaging (IHFULOWA) operator. The prominent characteristic of this proposed operator are studied. Then, we have utilized induced hesitant fuzzy uncertain linguistic ordered weighted averaging (IHFULOWA) operator to develop some approaches to solve the hesitant fuzzy uncertain linguistic multiple attribute decision making problems. Finally, a practical example for economic evaluation of power system dispatch is given to verify the developed approach and to demonstrate its practicality and effectiveness.