东北电力技术2026，Vol.47Issue(9)：7-14,8.
基于NSGA-Ⅱ与熵权TOPSIS法的风电场有功功率与疲劳损伤协同优化研究
Research on Co-Optimization of Active Power and Fatigue Damage in Wind Farms Based on NSGA-Ⅱ and Entropy Weight TOPSIS Method
摘要
Abstract
In order to solve the problem of active power loss and fatigue damage accumulation caused by wake effect in wind farm operation,it proposes a comprehensive method combining multi-objective optimization and multi-attribute decision-making to realize the collaborative optimization of active power and fatigue damage.Firstly,it constructs the wake attenuation and active power output model based on the Jensen wake model,and establishes the fatigue damage model combining the Palmgren-Miner linear cumulative damage theory.Then,it uses the NSGA-Ⅱ algorithm to solve the model to obtain the Pareto frontier,and finally uses the entropy weight TOPSIS method to select the optimal scheme from the Pareto solution set,and develops the exception handling mechanism to ensure the computational stability.The results show that in the 4×4 fan layout scenario,the total active power of the optimized scheme is increased by 8.9%and the fatigue damage is reduced by 2.2%compared with the benchmark scheme.The Pareto frontier analysis shows that there is a significant negative correlation between active power and damage,and the entropy weight TOPSIS method decision results verify the rationality of the weight allocation,and the proposed method can effectively balance the economy and reliability of wind farms,and provide theoretical support and engineering guidance for the optimization of complex wind farm layout.关键词
NSGA-Ⅱ算法/风电场优化/尾流效应/熵权TOPSIS法Key words
NSGA-Ⅱ algorithm/wind farm optimization/wake effect/entropy weight TOPSIS method分类
信息技术与安全科学引用本文复制引用
邹文广,刘姝,赵闯,李东泽..基于NSGA-Ⅱ与熵权TOPSIS法的风电场有功功率与疲劳损伤协同优化研究[J].东北电力技术,2026,47(9):7-14,8.基金项目
辽宁省教育厅基本科研项目面上项目(LJ242411632054) （LJ242411632054）
