海上风场风速分布特性是评估海上风场发电能力的重要因素,海上风场短时风速常呈现多峰特性,需采用混合威布尔分布。针对混合威布尔分布参数多、逼近难度大的问题,提出一种海上风场短时风速混合威布尔逼近方法,该方法以方差最小为优化目标,以矩估计值为参数初始值,以各参数取值范围为约束条件,利用改进后的粒子群算法DAIW-tanh优化参数,提高多峰型风速分布的逼近精度。算例表明：使用该方法对海上风场短时风速分布进行参数逼近,模型简单,计算速度快,不易陷入局部最优,能达到较好的逼近效果。
Abstract
The wind speed distribution in offshore wind farms is an important factor for evaluating the generated capacity. The distribution of short-term wind speed in offshore wind farms always has multi-peak characteristics, so the mixed Weibull distribution is required. Due to the variety of parameters and the difficulty in making the approximation of this distribution, a mixed Weibull distribution approximation method, which takes the minimum variance as the optimization objective and the value range of each parameter as the constraint condition, is proposed in this paper. Further, a modified particle swarm optimization algorithm, DAIW-tanh, is used to optimize the parameters in the proposed method, which can enhance the approximation accuracy of multi-peak wind speed distribution. The numerical results show that the method is able to achieve higher approximation accuracy and higher computation speed, and is not easily trapped in local optimization, leading to a better approximation effect.
关键词
海上风电 /
海上风场 /
威布尔分布 /
参数估计 /
粒子群算法
Key words
offshore wind power /
offshore wind farms /
Weibull distribution /
parameter estimation /
particle swarm optimization
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基金
广东省重点领域研发计划（2021B0707030002）
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