Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems

Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic SystemsThis work presents the performance evaluation of incremental conductance maximum power point tracking (MPPT) algorithm for solar photovoltaic (PV) systems under rapidly changing irradiation condition. The simulation model, carried out in Matlab and Simulink, includes the PV solar panel, the dc/dc buck converter and the MPPT controller. This model provides a good evaluation of performance of MPPT control for PV systems. The incremental conductance algorithm was tested against fast change of solar radiation (step change in irradiance). The simulation results show that the MPPT controller increase the overall efficiency of the PV system and the incremental conductance method is effective at rapidly changing irradiance level. The MPPT controller with incremental conductance method is carried out using the Stateflow toolbox from Simulink. Stateflow is a very powerful tool that graphically allows to do state machines and logical event based controllers and can be created states and transitions. All these transitions are based on decision based on measurement of system. When the program running can be visualized how is making the decision and how the system is moving from one state to another. The simulation results are presented and analyzed to validate that the proposed simulation model is effective for the MPPT control of PV systems at rapidly changing irradiation condition. The simulation was first run with the MPPT controller using the incremental conductance algorithm. As the irradiance is changing, the MPPT controller makes the power coming out of the PV array to be kept at maximum. Then, the simulation was run without the MPPT controller (the PV array was directly connected to the load) under the same irradiance level. Therefore, the output power of PV array is smaller than in previous case. Finally, the incremental conductance MPPT method was tested under fast changing irradiance level. The step change response of power for the PV array and dc/dc buck converter is analyzed considering two cases of step size of duty cycle of MPPT controller.Please cite my paper in your work:I. V. Banu and M. Istrate, "Modeling of maximum power point tracking algorithm for photovoltaic systems," 2012 International Conference and Exposition on Electrical and Power Engineering, Iasi, 2012, pp. 953-957. doi: 10.1109/ICEPE.2012.6463577 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6463577&isnumber=6463569

本论文阐述了光伏系统在快速变化的辐射条件下的增量导纳最大功率点跟踪（MPPT）算法的性能评估。该仿真模型在 Matlab 和 Simulink 环境下构建，包含光伏电池板、直流/直流降压转换器和 MPPT 控制器。该模型对光伏系统 MPPT 控制的性能进行了全面评估。增量导纳算法针对太阳能辐射的快速变化（辐射强度阶跃变化）进行了测试。仿真结果表明，MPPT 控制器提高了光伏系统的整体效率，且在快速变化的辐射水平下，增量导纳方法表现出有效性。采用 Simulink 中的 Stateflow 工具箱实现了基于增量导纳方法的 MPPT 控制器。Stateflow 是一款功能强大的工具，能够通过图形化的方式实现状态机和基于逻辑事件的控制器设计，并允许创建状态和转换。所有这些转换均基于系统的测量数据进行决策。在程序运行过程中，可以可视化决策过程以及系统如何从一个状态过渡到另一个状态。通过展示和分析仿真结果，验证了所提出的仿真模型在快速变化辐射条件下对光伏系统 MPPT 控制的有效性。首先，在采用增量导纳算法的 MPPT 控制器下运行仿真。随着辐射强度的变化，MPPT 控制器确保光伏阵列输出的功率保持在最大值。随后，在相同的辐射水平下，未使用 MPPT 控制器（光伏阵列直接连接到负载）的情况下运行仿真。因此，光伏阵列的输出功率低于前一种情况。最后，在快速变化的辐射水平下对增量导纳 MPPT 方法进行了测试。分析了光伏阵列和直流/直流降压转换器对阶跃变化的功率响应，考虑了 MPPT 控制器占空比阶跃大小的两种情况。请引用以下文献：I. V. Banu 和 M. Istrate, "光伏系统最大功率点跟踪算法的建模," 2012 年国际电气与电力工程会议及展览，雅西，2012 年，第 953-957 页。doi: 10.1109/ICEPE.2012.6463577 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6463577&isnumber=6463569