考虑疲劳优化的风电场有功功率调度策略OA
Active Power Scheduling Strategy of Wind Farm Considering Fatigue Optimization
风电场中存在风电机组疲劳分布不均匀的问题,导致风电机组寿命衰减以及运维成本较高.为此,提出了一种考虑风机疲劳的风电场有功功率优化调度策略.首先,提出一种基于主轴扭矩与塔架推力的疲劳载荷评估模型,从而将风机疲劳载荷分布优化问题转化为有功功率分配问题;其次,采用非支配排序遗传算法(non-dominated sorting genetic algorithm,NSGA-Ⅱ)来优化风机的有功功率参考值分配,以降低风机主轴和塔架的累积疲劳损伤;最后,仿真结果表明,所提方法能够有效降低风机主轴和塔架的累积疲劳损伤,从而延长风电机组寿命,并降低运维成本.
The uneven fatigue distribution of wind turbine units in wind farms leads to problems such as the attenuation of the service life of wind turbine units and high operation and maintenance costs.It proposes an optimal active power scheduling strategy that takes into account the fatigue experienced in wind farms.Firstly,it introduces a fatigue load evaluation model based on spindle torque and tower thrust to reformulate the challenge of optimizing fatigue load distribution into an active power allocation problem.Subsequently,it uses the NSGA-Ⅱ(Non-dominated Sorting Genetic Algorithm)to optimize the reference value for active power distribution across turbines,thereby mitigating cumulative fatigue damage to both the spindle and tower components.Finally,simulation results demon-strate that this proposed approach effectively reduces cumulative fatigue damage in the main shaft and tower of wind turbines,ultimately prolonging their operational life while decreasing associated operation and maintenance costs.
李东泽;刘姝;赵闯;邹文广
沈阳工程学院电力学院,辽宁 沈阳 110136沈阳工程学院新能源学院,辽宁 沈阳 110136沈阳工程学院电力学院,辽宁 沈阳 110136沈阳工程学院电力学院,辽宁 沈阳 110136
信息技术与安全科学
风电场疲劳优化有功功率调度
wind farmfatigue optimizationactive power scheduling
《东北电力技术》 2026 (2)
27-33,7
评论