Shaded conditions cause a decrease in the performance of photovoltaic (PV) systems. In this situation, power versus voltage curve shows two maximum points, namely local (LMPP) and global (GMPP). The main challenge for extracting from PV system during shading is existence false or LMPP along with true GMPP. Traditional point tracking (MPPT) has faced hurdles overcoming situation. Therefore, pape...

Maximum power point tracker (MPPT) methods work to maximize the output of a PV system under changes in meteorological conditions. The performance these depends on complexity algorithm and number used variable inputs for obtaining MPP value. Moreover, they oscillate around steady-state operations, causing waste loss. do not perfectly running partial shading Therefore, this paper proposes modific...

In the case of partial shading conditions (PSCs), normal equations cannot be completely implemented. The mathematical model Photovoltaic (PV) array needs to modified and re-established with existence bypass diodes connected PV module, which can alleviate negative effects PSCs generate several peaks on output characteristics curve. first aim this study is modify re-establish under PSCs. Second, ...

The power-voltage (P-V) characteristic curve of solar photovoltaic (PV) systems operating in partial shading conditions (PSC) is nonlinear and has multiple local maximum peak power (LMPP) points, rendering many the point tracking (MPPT) algorithms ineffective at locating global (GMPP) points. This work proposes a novel slime mould algorithm- (SMA-) based MPPT controller to utilise (MPP) from PV...

Artificial intelligence, machine learning and deep algorithms have been widely used for Maximum Power Point Tracking (MPPT) in solar systems. In the traditional MPPT strategies, following of worldwide Global (GMPP) under incomplete concealing conditions stay overwhelming assignment tracks different nearby greatest power focuses halfway conditions. The advent artificial intelligence has guarante...

<span lang="EN-US">The conventional maximum power point tracking (MPPT) method such as perturb and observe (P&O) under partial shading conditions with non-uniform irradiation, can get trapped on local (LMPP) cannot reach global (GMPP). This study proposes a bio-inspired metaheuristic algorithm spotted hyena optimizer (SHO) improved SHO new MPPT technique. The proposed SHO-MPPT are...

The shift towards sustainable energy sources is gaining momentum due to their environmental cleanliness, abundant availability, and eco-friendly characteristics. Solar energy, specifically harnessed through photovoltaic (PV) systems, emerges as a clean, abundant, environmentally friendly alternative. However, the efficacy of PV systems subjective depending on two critical factors: irradiance te...

The thermoelectric generator (TEG) system has attracted extensive attention because of its applications in centralized solar heat utilization and recoverable energy. operating efficiency the TEG is highly affected by conditions. In a series-parallel structure, due to diverse temperature differences, modules show non-linear performance. Due non-uniform distribution (NUTD) condition, several maxi...

It is a challenging task to accurately track the global maximum power point (GMPP) in changing environment widely used photovoltaic (PV) systems. So far, variety of (MPP) tracking algorithms have been solar PV The classical algorithm simple and fast speed effectively constant environment, but it can get stuck at an extreme variable environment. In this paper, variable-step incremental conductan...

Abstract The technological, economic, and environmental benefits of photovoltaic (PV) systems have led to their widespread adoption in recent years as a source electricity generation. However, precisely identifying PV system's maximum power point (MPP) under normal shaded weather conditions is crucial conserving the generated power. One biggest concerns with system existence partial shading, wh...