Experimental assessment of Maximum Power Point Tracking methods for photovoltaic systems (original) (raw)

Experimental assessment of maximum power point tracking methods for photovoltaic systems Experimental assessment of maximum power point tracking methods for photovoltaic systems

This paper presents different Maximum Power Point Tracking (MPPT) methods belonging to different classes as well as two overviews. The first was about the procedures used in the test and evaluation of MPPTs.The second is an overview of Fuzzy Logic Controller (FLC) MPPTs and improved MPPTs. Conventional MPPTs such as Perturb and Observe (P&O), Hill Climbing (HC) and Incremental Conductance (InCond); Improved MPPTs (are the modified versions of conventional MPPTs) such as Improved Incremental Conductance (Improved-InCond) and intelligent MPPTs such as FLC have been implemented and tested under two different levels of irradiance and temperature. A detailed description about the hardware and software implementation platforms (designed and built in our laboratory) is provided. Based on measured data, the MPPTs under consideration have been evaluated and compared in terms of different criteria, showing the advantages and disadvantages of each one. The comparison results showed that Improved-InCond gives a fast convergence to the MPP (Maximum Power Point). Whereas, FLC is able to adapt to the variation of irradiance and temperature levels. Thereby, a good performance is obtained wherein the MPP is reached in a short time as well as the power ripples are very small.

Applications of Improved Versions of Fuzzy Logic Based Maximum Power Point Tracking for Controlling Photovoltaic Systems

Power Systems. Springer, Singapore. , 2019

Many local and global fuzzy logic based MPPT methods have been proposed to seek the solar Photovoltaic (PV) system's MPP. In this chapter, various improved FL-MPPTs which have been proposed over the years are introduced, their advantages and disadvantages are also clarified. Local MPPTs (LMPPTs) based on improved versions of FL are presented in detail, including Modified Hill Climbing-FL Controller (HC-FLC) and Adaptive P&O-FLC. Then, based on simulation and experimental results, a comparative study is done by employing the main assessment criteria to figure out the relative merits and limitations of those MPPTs in tracking the maximum power. The last part of the chapter introduces advanced Global MPPT techniques based on FL to track the GMPP of complicated shading patterns. A performance comparison of those GMPPTs is done and useful information on how to choose a suitable MPPT depending on the application intended, are outlined.

Improved Incremental Conductance Maximum Power Point Tracking Algorithm Using Fuzzy Logic Controller for Photovoltaic System

2018

The hard nonlinearity of the electrical behavior, current-voltage output of a photovoltaic array considered a big issue in the designing of maximum power point tracking (MPPT) algorithms, furthermore changing with atmospheric condition temperature and irradiation. So it’s more challenging to control both the time response and the accuracy. The most commonly algorithms discussed and used in practice are incremental conductance (INC) and perturb and observe (P&O), nevertheless failed to overcome the drawback of the trade-off between the elimination of oscillation around MPP in the steady state and quickness tracking, chiefly when sudden sharp environmental change occurs. Thus, this study suggests a revised incremental conductance combined with fuzzy logic controller (FLC), to enhance the efficiency of the conversion system and perfom it for practical operating conditions. The INC uses the step size generated from FLC. The performance of the dynamic response and the accuracy have optim...