基于瑞利概率分布的风力发电系统中组合风速的改进及建模仿真

Improvement and modeling simulation of combined wind speed in the wind power system by Rayleigh probability distribution

风速作为风力发电机组的输入信号,其模拟的正确性直接影响着整个风力发电系统的性能分析与研究。通常计算机仿真所得风速是通过对不同风速的简单组合而实现的某个地区及时间段的平均风速,仿真风速无法体现自然风的多样性。针对此问题,文章提出一种实现自然风的方法。依据某风电场风资源评估报告所给出的风频分布曲线,以瑞利分布规律随机配置各种风速信号,在Matlab/Simulink的运行环境下,仿真出改进的风速,使不同风速随机分配,并且在某个时间段内各种风速出现的概率符合瑞利概率分布。据此方法所得风速更加接近实际自然风,且涵盖从切入风速到切出风速范围内所有风速类型,对风力发电系统的性能分析与研究具有一定的实际意义。

The correctness of the simulation of wind speed,which is a input signal of wind power generation system, is more important for research and analysis of the entire wind power generation system. The wind speed simulated by computer commonly is a average wind speed at a certain area during a certain period of time, which can＇t express the diversity of natural wind. Under Matlab/ Simulink, an improved wind speed is simulated by all wind speed signals allocated according to Rayleigh distribution based on winds distribution from a wind resources evaluation report of a wind farm. The improved wind speed random distributes and probability of all wind speeds accords with Rayleigh distribution during a certain time, The simulated wind speed that has all wind style besides cut in and cut out wind speed is more close to natural wind, and is useful for analysis and research of wind power system performance.