| Abstract: | This article explores and establishes comprehensive evaluation index system of wind power accommodation abilityconsidering microscopic index and macroscopic index, and the index system includes conventional evaluationindexes such as forecast deviation, simultaneity factor and anti-peak rate, also newly introduced evaluation indexessuch as installed capacity, power adequacy and accommodation space. Bayesian weight modified method is usedfor solving index weights of 8 wind power accommodation indexes. The paper puts forward a comprehensiveevaluation model of wind power accommodation ability based on improved radar chart method, and this modelchanges traditional radar chart fan-shaped sector to quadrilateral evaluation region, and increasing angle bisectorcan solve the problem that evaluation results are not unique. It constructs new area and perimeter vectors of radarchart, which make the evaluation results give consideration to level of aggregation and balance degree ofevaluation objectives, and case study results show that this model has a certain practical value. |
