改进的差异演化算法在MPPT扰动观察法中的研究  

Research of improved differential evolution algorithm in MPPT perturbation and observation method

作　　者：刘建军[1] 白建民[2] 郭伟[3] 顾勇[3] 

机构地区：[1]河北北方学院信息科学与工程学院,河北张家口075000 [2]华北电网有限公司张家口供电公司,河北张家口075000 [3]河北建筑工程学院,河北张家口075024

出　　处：《电源技术》2012年第1期102-103,共2页Chinese Journal of Power Sources

摘　　要：太阳电池最大功率跟踪(MPPT)控制方法有很多。例如:直线近似法、电压反馈法、扰动观察法、增量电导法、模糊控制、神经网络控制等。每一种MPPT控制策略均具有自身的特点。针对光伏电池的非线性特性,介绍了最大功率点跟踪的原理,并利用改进的差异演化算法对扰动观察法进行了改进,减少了扰动观察法的震荡过程,确保了光伏阵列稳定地工作在最大功率点附近。仿真结果证明,利用该差异演化算法改进的MPPT,具有良好的适应性。There are a lot of methods to control maximum power point tracking（MPPT） of solar cell,such as linear approximation method,voltage feedback method,perturbation,observation method,fuzzy control,neural network control and so on.Any MPPT control strategy has its own characteristics.Considering the nonlinear characteristics of photovoltaic cells,the principle of maximum power point tracking was discussed at first;and then,the improved differential evolution algorithm was used to improve the perturbation and observation method to reduce the shock process and ensure the photovoltaic array to work stably around the maximum power point.The simulation results show that the use of the differential evolution algorithm can improve MPPT with good adaptability.

关 键 词：光伏发电 最大功率跟踪 改进的差异演化算法 扰动观察法 

分 类 号：TM914.4[电气工程—电力电子与电力传动]