Comparability Research of Highest Power Point Tracker Approaches For Photovoltaic Programs |

ABSTRACT:

Photovoltaic (PV) systems have been used for manydecades. Today, with the focus on greener sources of power, PV has become animportant source of power for a wide range of applications. Improvements inconverting light energy into electrical energy as well as the cost reductionshave helped create this growth. Even with higher efficiency and lower cost, thegoal remains to maximize the power from the PV system under various lightingconditions. The proposed MPPT has several advantages: simplicity,high convergence speed, and independent on PV array characteristics. Thealgorithm is tested under various operating conditions. The obtained resultshave proven that the MPP is tracked even under sudden change of irradiationlevel. These techniques vary in many aspects as simplicity,digital or analogical implementation, sensor required, convergence speed, rangeof effectiveness, implementation hardware, popularity, cost and in otheraspects. This paper presents in details comparative study between two mostpopular algorithms technique which is incremental conductance algorithm andperturb and observe algorithm. Three different converter buck, boost and cukconverter use for comparative in this study. Few comparison such as efficiency,voltage, current and power output for each different combination has beenrecorded. Multi changes in irradiance, temperature by keeping voltage andcurrent as main sensed parameter been done in the simulation. Matlab Simulinktools have been used for performance evaluation on energy point. Simulationwill consider different solar irradiance and temperature variations. The interest in distributed maximum power point trackingincreases along with increasing deployment of photovoltaic generators and theconstant pressure to reduce the cost of photovoltaic generated energy.Distributed maximum point tracking facilitates a significant boost of capturedphotovoltaic power. In this paper, a maximum power point tracker method usingsliding mode control for a photovoltaic system is presented. The systemincludes a photovoltaic array, a DC/DC converter and a DC/AC inverter connectedto a load. The designed control regulates the converter output voltage and itmaximizes the power generated by the photovoltaic array. To obtain it, thesliding surface used to control the DC/DC converter is adjusted according to PVarray output power. The control law designed and the results in a simulationplatform will be presented. This paper presents a reliable maximum powerpoint tracker (MPPT) for photovoltaic (PV) systems. This MPPT tracks themaximum power point of a PV module by calculating the optimum resistance of thePV module at certain solar radiation level, ambient temperature value and loadimpedance. The calculated resistance is used to calculate the optimum dutycycle of the DC-DC converter triggering signal using a developed relation.Based on results, the proposed MPPT has better efficiency (95%) thanperturbation and observation (P&O) method (92 %). Moreover, the proposedmethod is faster than P&O method because there is no perturbation aroundthe MPP during the tracking process.