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基于直觉模糊环境的海上风机选型

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选择合适的海上风力发电机机型对海上风电场的长期高效运行起着至关重要的作用.针对决策者在风机选型决策过程中存在不确定性和主观偏好等问题,提出一种改进的多准则决策(multi-criteria decision making,MCDM)框架及方法:在权重求解算法中将群体决策和直觉模糊数与层次分析法相结合,提出群体直觉模糊层次分析法(group intuitionistic fuzzy analytic hierarchy process,GIAHP)计算指标权重;在备选方案排序算法中将余弦距离引入接近理想点法(technique for order preference by similarity to an ideal solution,TOPSIS),提出多距离TOPSIS确定备选方案排序.最后以山东省海上风电场风机选型为例,并通过敏感性分析验证框架及方法的鲁棒性.该框架及方法为中国海上风电场风机选型提供理论依据,可确保海上风电场长期稳定运行.
Offshore Wind Turbine Selection Based on Intuitionistic Fuzzy Environment
The proper selection of offshore wind turbines is crucial for the long-term efficient operation of offshore wind farms.Aiming at the problems of uncertainty and subjective preference of decision-makers in the decision-making process of wind turbine se-lection,an improved multi-criteria decision making(MCDM)framework and method was proposed:in the weight solving algorithm,group decision and intuitionistic fuzzy numbers were combined with analytic hierarchy process,and the group intuitionistic fuzzy analytic hierarchy process(GIAHP)was proposed to calculate the index weight,in the alternative ranking algorithm,the cosine distance was in-troduced into the technique for order preference by similarity to an ideal solution(TOPSIS),and the multi-distance TOPSIS was proposed to determine the alternative ordering.Finally,taking the selection of wind turbines in offshore wind farms in Shandong Province as an ex-ample,the robustness of the framework and method was verified by sensitivity analysis.The framework and method provide a theoretical basis for the selection of offshore wind turbines in China,which can ensure the long-term stable operation of offshore wind farms.

offshore wind turbine selectionintuitionistic fuzzy numbersgroup intuitionistic fuzzy analytic hierarchy process(GIAHP)multi-distance technique for order preference by similarity to an ideal solution(TOPSIS)

邵萌、毛智谋、孙金伟、管笑、伊传秀

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中国海洋大学工程学院,青岛 266100

海上风机选型 直觉模糊数 群体直觉模糊层次分析法(GIAHP) 多距离接近理想点法(TOPSIS)

国家自然科学基金国家重点研发计划山东省自然科学基金中国工程院战略研究与咨询项目

516092242022YFC3104201ZR2020QE2972022-DFZD-36

2024

10.12404/j.issn.1671-1815.2304483

科学技术与工程
中国技术经济学会

科学技术与工程

CSTPCD北大核心
影响因子：0.338
ISSN：1671-1815
年,卷(期)：2024.24(16)