全球能源互联网2025，Vol.8Issue(5)：625-635,11.DOI:10.19705/j.cnki.issn2096-5125.20240049
基于改进TOPSIS的风电并网友好特性评价方法
Evaluation Method for Grid-friendly Characteristics of Wind Power Integration Based on Improved TOPSIS
摘要
Abstract
Reasonable evaluation of the grid-connected characteristics of wind farms is a prerequisite for grid power balance and dispatch planning.In this re-gard,an evaluation index system and method for the grid-connected characteristics of wind power are proposed.Firstly,a three-dimensional evalua-tion index system of wind power grid-connected characteristics is constructed,which includes wind resource characteristics,wind power output characteristics and grid interaction characteristics,among which three indexes,such as fluctuation point,fluctuation density and fluctuation amplitude mean,are proposed to characterize the fluctuation of wind power output.Secondly,an improved algorithm based on the technique for order prefer-ence by similarity to ideal solution(TOPSIS)and considering the coordination between the indicators is designed,and the gray correlation coefficient and information entropy are introduced on the basis of the traditional TOPSIS evaluation algorithm to carry out a comprehensive evaluation.Evalua-tion.Then,the combination of G1 subjective weighting method and improved CRITIC objective weighting method is used to combine the weights of each indicator using the method of minimum deviation.Finally,a simulation example is set up with several wind farms,and the characteristics of each wind farm are comprehensively scored and ranked,which can provide a scientific basis for the planning of wind power industry through the research and evaluation of wind power.关键词
评价指标/TOPSIS/组合赋权/风电并网Key words
evaluation indicators/TOPSIS/portfolio empowerment/grid-connected wind power分类
信息技术与安全科学引用本文复制引用
刘宇,樊玮,霍嘉兴,苗璐,钟康骅,秦颖婕,杨苹..基于改进TOPSIS的风电并网友好特性评价方法[J].全球能源互联网,2025,8(5):625-635,11.基金项目
南方电网公司科技项目(036000KK52222013(GDKJXM20222142)) （036000KK52222013(GDKJXM20222142）
广东省重点领域研发计划项目(2021B0101230001). Science and Technology Program of Southern Power Grid Corporation(036000KK52222013(GDKJXM20222142)) （2021B0101230001）
R&D Programs in Key Areas of Guangdong Province(2021B0101230001). （2021B0101230001）
