Developing new energy power systems is essential for achieving the dual-carbon goal. Therefore

it is of great significance to evaluate the adaptability of new energy power systems in specific conditions. First

the influencing factors of adaptability in new energy power systems are analyzed. Based on the characteristics of the systems

an adaptability evaluation index system is established

comprising three primary indicators

i.e.

grid structure

economic efficiency

and energy structure

along with 15 secondary indicators. Second

a combination weighting method based on game theory is proposed

integrating three objective assignment methods: the entropy weight method

CRITIC method

and the coefficient of variation methods

to obtain the optimal combined weights. Third

an improved cloud model is proposed to overcome the randomness of the indicators. The cloud model is improved using the combined weights to evaluate the adaptability of new energy power systems. Finally

a case study is conducted on the distribution network in area A of China to verify the accuracy and validity of the proposed evaluation model. The findings provide reliable recommendations for identifying system vulnerability and improving the adaptability of new energy power systems.