An Effective Falcon Optimization Algorithm Based MPPT Under Partial Shaded Photovoltaic Systems

Abstract

Uncertain conditions involving partial shading can be found in large-scale solar photovoltaic (PV) systems. There is a possibility that the performance of the PV system will suffer as a result of partial shading conditions (PSCs) because it creates multiple peaks in the power-voltage (P-V) characteristics. Nevertheless, for the photovoltaic system to be utilized in the most effective manner, it needs to be run at a global maximum power point (GMPP). A new strategy based on the falcon optimization algorithm (FOA) is introduced in this paper for the monitoring of GMPP. The perturb and observe (P&O) and the Particle swarm optimization (PSO) techniques have certain drawbacks that can be resolved using a new optimization method known as the FOA. These limitations include a lower convergence speed and steady-state oscillations. The tracking performance of the proposed method is evaluated and compared to that of three MPPT algorithms, namely grey wolf optimization (GWO), PSO and P&O, for a PV array that is functioning under PSCs and displaying numerous peaks. An implementation of the proposed FOA-MPPT algorithm on a PV system was carried out with the help of MATLAB/SIMULINK. Simulation tests conducted under a variety of partial shading patterns reveal that the proposed FOA outperforms all three MPPT algorithms: GWO, PSO, and P&O. Simulation results show that the MPPT efficiency of FOA in four different partial shading conditions is 99.93 %, 99.82 %, 99.80 %, and 99.81 %, Furthermore, the simulation results show that the tracking time of proposed FOA in four different partial shading conditions is 0.4 s, 0.41 s, 0.39 s, and 0.41 s, respectively. Moreover, the proposed FOA is tested using actual and measurable data from Neom, Saudi Arabia. According to the simulation results, the proposed FOA generates significantly more revenue than other compared algorithms.INDEX TERMS Falcon optimization algorithm (FOA), Maximum power point tracking (MPPT), Partial shading conditions (PSCs), Photovoltaic system

MPPT techniques for PV systems: A comprehensive review of current trends and recent advances in AI

“…In [32] for example, the hybrid approch HCS-PS-ANFIS-INC shows superior performances in terms of osscillations around MPP, response time and tracking e ciency in various irradiances conditions compared to P&O, INC, Fuzzy and ANFIS approaches. Some recent advanced and improved swarm algorithms [22,31,[33][34][35][36][37][40][41][42][43][44] have shown improved performances compared to previous ones. Figure 16 to Fig.…”

MPPT techniques for PV systems: A comprehensive review of current trends and recent advances in AI

“…In [32] for example, the hybrid approach HCS-PS-ANFIS-INC shows superior performances in terms of oscillations around MPP, response time and tracking e ciency in various irradiances conditions compared to P&O, INC, Fuzzy and ANFIS approaches. Some recent advanced and improved swarm algorithms [22,31,[33][34][35][36][37][40][41][42][43][44] have shown improved performances compared to earlier ones. Figure 16 to Figure 18 show some improved performances of these advanced algorithms compared to earlier ones.…”

A novel technique using stretching, repulsion, and chimp optimization algorithm to find global maximum power point considering complex partial shading conditions

“…On-grid performance of SRCA PSC- Key points to compare Proposed Sun et al 26 Pervez et al 27 Alshareef 28 Millah et al 29 Deboucha et al 30 Pervez et al The key observation points in the off-grid and on-grid analyses considering CPSCs are given as follows.…”

“…The steady-state and tracking oscillations are less observed in case of off-grid analysis as compared with the literature. 28,29,46 3. The tracking time efficiency is boosted in on-grid case which proves that SRCA performance is increased with the increased complexity of the system.…”

“…In the same way, some of the modified metaheuristic algorithms have been proposed to improve the tracking time and to reduce the search space for MPPT with better results. [27][28][29] A control-based high speed MPPT using the analog-to-digital converter was proposed for the fast-charging irradiation by mobile PVs. 30 The transient losses of energy were reduced up to four times.…”