An Enhanced P&O MPPT Algorithm for PV Systems with Fast Dynamic and Steady-State Response under Real Irradiance and Temperature Conditions

Abstract

This paper presents an enhanced perturb and observe (P&O) method for reconciling the trade-off problem between the dynamic response and steady-state oscillations in maximum power point tracking (MPPT). The constraint of having to sacrifice either the dynamic response or the steady-state oscillations has been solved. The method uses the relationship between the open-circuit voltage and maximum power voltage from the fractional open-circuit voltage (FOCV) MPPT method to establish a valid, reduced, and confined search space within which an enhanced P&O via dynamic adaptive step size terminates the search for the maximum power point. The feasibility of the proposed method has been validated by comparing its performance with the conventional P&O algorithm. It was noted that the proposed method increased the operational efficiency of the PV module to 99.89%, reduced the tracking time to 1.8 ms, and preserved the good steady-state response with a power attenuation of less than 0.10 W or relative 0.16% under MATLAB environment. An experimental setup was used to collect real irradiance and temperature data which was used in real-time simulations. The enhanced P&O method was able to resist abrupt changes in irradiance and temperature as it effectively and efficiently followed the maximum power point (MPP). Finally, to appreciate the supremacy of the proposed method, it was compared to nineteen different MPPT methods from literature. The comparison showed that the enhanced P&O MPPT method is highly efficient and effective for MPPT in photovoltaic (PV) generation systems.

A New Hybrid MPPT Based on Incremental Conductance-Integral Backstepping Controller Applied to a PV System under Fast-Changing Operating Conditions

“…Numerous investigations using numerical simulations, implemented in the MATLAB/Simulink environment, are performed to validate the performance of the proposed hybrid incremental conductance-integral backstepping controller under fast-changing operating conditions. The objective is to force the MSX-60-watt solar module [20] to operate at its maximum power point. Since most MPPT algorithms fail under fast-changing operating conditions, we investigate the robustness of our systems under the most difficult operating scenarios involving fast-changing temperature, fast-changing irradiance, and abrupt variations in the load for robustness.…”

“…In the recent decade, numerous maximum power point tracking algorithms have been deployed in the literature [10][11][12][13][14][15][16][17][18][19][20][21][22]. These algorithms differ in cost, complexity, and performance.…”

A New High-Performance Photovoltaic Emulator Suitable for Simulating and Validating Maximum Power Point Tracking Controllers

“…The equivalent circuit of the PV reference model is shown in Figure 1. It is based on the single diode which offers a good compromise between complexity and performance [17][18][19][20].…”

“…Therefore, it becomes imperative to continually track this point and ensure that PV systems operate at their maximum energy potential [20]. In the spirit of optimizing PV systems, numerous maximum power point tracking (MPPT) algorithms/controllers have been developed in this recent decade [19,[30][31][32][33]. The perturb and observe (P&O) and incremental conductance algorithm (INC) are the most popular MPPT algorithms/controllers.…”

Solar irradiance estimation and optimum power region localization in PV energy systems under partial shaded condition

“…Faced with such continuous variation, it is crucial to continuously track the MPP. Consequently, a series of maximum power point tracking (MPPT) algorithms have been reported in different scientific literature MPP [ [2] , [3] , [4] , [5] , [6] ]. As revealed by the literature, the classical conventional algorithm such as perturb and observe (P&O), and incremental conductance algorithm (INC) stand out as the simplest and most popular approaches.…”