基于改进混沌粒子群算法的光伏阵列建模方法研究

Research on PV array modeling method based on improved chaotic particle swarm optimization algorithm

准确地建立光伏阵列模型对光伏电站性能分析具有十分重要的意义。由于传统光伏阵列建模方法具有模型参数计算困难、计算结果精度低、对铭牌参数依赖性高等不足,导致传统光伏阵列模型具有适应性差等。文章从实测数据出发,提出了一种基于改进混沌粒子群算法的光伏阵列建模方法。模拟结果表明,相比于传统的建模方法,基于改进混沌粒子群算法的光伏阵列模型模拟结果的精度较高,更符合光伏阵列的实际输出特性,且不依赖于出厂参数,因此,适应性较好,并具有操作简单、易于实现的优点。

Establishing accurate photovoltaic array modeling is of great significance to the performance analysis of photovoltaic power plants.The traditional photovoltaic array modeling method has the problems of poor adaptability due to the difficulty in calculating the model parameters,low accuracy and high dependence on the nameplate parameters.Based on the measured data,this paper proposes a modeling method of photovoltaic array based on improved chaotic particle swarm optimization algorithm.The simulation results show that,compared with the traditional modeling methods,the simulation results of the photovoltaic array model based on the improved chaotic particle swarm optimization algorithm are more accurate,more in line with the actual output characteristics of the photovoltaic array,and do not depend on factory parameters.Therefore,the proposed method has good adaptability,simple operation and easy to implement.