摘要
输入风速的变化特点直接影响着风力发电机输出功率建模.采用非线性最小二乘法和差分进化算法计算参数,结合具备较高精度的启发式算法寻优构建,运用Logistic函数进行大型风力发电机输出功率建模研究,并对比分析不同方法对应风力发电机输出功率模型的建模精度.结果表明:非线性最小二乘法更适合所提模型参数计算,传统输出功率模型高精度源于模型中人为定义的额定功率值,Logistic函数输出功率模型无需人为定义额定功率值,在相同条件下该输出功率特性模型建模精度较优.
The variation characteristics of input wind speed directly affect the output power modeling of wind turbine.In this paper,nonlinear least square method and differential evolution algorithm are used to calculate parameters,and Logistic function is used to model the output power of wind turbine,combined with the high accuracy of heuristic algorithms in finding the optimal construction.Then,the modeling accuracy of the three methods for output power model is compared.The results show that the nonlinear least squares method is more suitable for the calculation of the proposed model parameters.The high accuracy of the traditional output power model is derived from the artificially defined rated power value in the model,while the Logistic function output power model does not need to artificially define the rated power value,the modeling accuracy of which is better under the same conditions.
作者
张岩
马壮
董博
郑玉巧
ZHANG Yan;MA Zhuang;DONG Bo;ZHENG Yu-qiao(Gansu Province Special Equipment Inspection and Testing Institute,Lanzhou730050,China;School of Mechanical and Electrical Engineering,Lanzhou Univ.of Tech.,Lanzhou 730050,China)
出处
《兰州理工大学学报》
CAS
北大核心
2023年第4期49-53,共5页
Journal of Lanzhou University of Technology
基金
国家自然科学基金(51965034)。
