Currently, grid-connected Photovoltaic (PV) systems are widely encouraged to meet increasing energy demands. However, there many urgent issues tackle that associated with PV systems. Among them, partial shading is the most severe issue as it reduces efficiency. To achieve maximum power, system utilizes power point-tracking (MPPT) algorithms. This paper proposed a two-level converter for optimizing and injecting into grid network. The boost used regulate MPPT algorithm. make grid-tied operate...

The widespread adoption of green energy resources worldwide, such as photovoltaic (PV) systems to generate and renewable power, has prompted safety reliability concerns. One these concerns is fault diagnostics, which needed manage the output PV systems. Severe faults make detecting challenging because drastic weather circumstances. This research article presents a novel deep stack-based ensemble learning (DSEL) approach for diagnosing array faults. DSEL compromises three deep-learning...

Evaluating the potential impacts of land use and cover change (LULCC) climate on air pollution is crucial to unravel driving forces mechanisms behind changes in quality. A multi-faceted approach was adopted, including a model (LCM) Mann–Kendall (MK) test, evaluate transition type, climate, atmospheric pollutants during 2004–2021 Pakistan. Moreover, multiscale geographically weighted regression (MGWR) mathematical were used assess contribution LULCC dynamics pollution. It revealed that 2004,...

Photovoltaic (PV) energy is essential in the global transition toward clean and sustainable alternatives to nonrenewable fuel source. However, proficiency of PV power systems often compromised through various faults, resulting significant loss fire risks during operation. To maximize generation, it crucial implement monitoring that use Internet Things (IoT) edge computing technologies. existing literature highlights a gap comprehensive, end-to-end solutions for remote fault diagnostics...

The photovoltaic (PV) arrays are susceptible to numerous faults. Fault diagnosis is essential in improving a PV system's output power, reliability, and life span. This research paper suggests an AdaBoost Ensemble Model (AEM) approach for detecting classifying system AEM includes several weak base learners stacked sequentially so that they learn from the mistakes of prior produce improved predictive model. study considers open-circuit fault (OCF), short-circuit (SCF), degradation (DF). A...

DC series arc fault detection is essential for improving the productivity of photovoltaic (PV) stations. The also poses severe fire hazards to solar equipment and surrounding building. faults must be detected early provide reliable safe power delivery while preventing hazards. However, it challenging detect using conventional overcurrent current differential methods because these produce only minor variations. Furthermore, hard define their characteristics due randomness other arc-like...

Direct current (DC) motors are one of the most important kind and widely used in robotic industrial applications. Recently, there have been significant efforts to develop direct an attempt control speed motors. However, conventional controlling approaches perform undesirably terms stability quick response. Therefore, this paper presents a hybrid intelligent controller configuration for optimized brushless (BLDC) factory supervisory data acquisition (SCADA) system. We compare with PID...

Currently, Photovoltaic (PV) technology has higher demand in the market and gaining momentum day by day. However, partial shading is most significant concern as it reduces efficiency of standalone PV systems. Partially typically induced non-uniform sunlight uncertain temperature fluctuations. The maximum power point tracking (MPPT) algorithms play a major role determining overall system's efficiency. system creates several peaks its voltage (P-V) characteristic curve under shadowing. To make...

Partial shading condition (PSC) is the most serious concern of a photovoltaic (PV) system as it pointedly decreases proficiency PV system. The generates numerous peaks in its output power characteristics curve under PSC. To track global maximum point (GMPP) with-in suitable time limit, consistent method thus required. For achieving high performance, enhanced convergence and less fluctuations during cloudy sky, conventional PSO altered. main objective this paper to identify (MPP) by utilizing...

Photovoltaic (PV) system usually employed The Maximum power point tracking (MPPT) techniques for increasing its efficiency. performance of the PV perhaps boosts by controlling at apex power, in this way maximal can be given to load. proficiency a depends upon irradiance, temperature and array architecture. shows non-linear style V-I curve on V-P also varies with changing environmental conditions. MPPT methods grantees that module is regulated reference voltage produce entire usage output...

Photovoltaic (PV) industries are susceptible to manufacturing defects within their solar cells. To accurately evaluate the efficacy of PV modules, identification is imperative. Conventional industrial defect inspections predominantly rely on highly skilled inspectors conducting manual assessments, leading sporadic and subjective outcomes. Deep-learning-based fault detection in or cells has emerged as a primary research area due its superior efficiency applicability. Hence, this study...

Solar energy (SE) is vital for renewable generation, but its natural fluctuations present difficulties in maintaining grid stability and planning. Accurate forecasting of solar irradiance (SI) essential to address these challenges. The current research presents an innovative approach named as Transformer-Infused Recurrent Neural Network (TIR) model. This model integrates a Bi-Directional Long Short-Term Memory (BiLSTM) network encoding Gated Unit (GRU) decoding, incorporating attention...

The prediction and forecasting of faults occurring in photovoltaic (PV) system is one the important aspect to escalate reliability, output power generation, proficiency, lifetime effectiveness overall system. In this article, behavior PV array studied under various faulty circumstances new approach has offered for better performance assessment array. This established on analysis peculiarities displayed by voltage (V-P) voltage-current (V-I) characteristics curves different conditions....

The current research work develops a Mechatronics prototype for low-cost aerostatic bearing that is controlled with the help of an Arduino board, electro-pneumatic high-speed valves, and feedback transducers. purpose this to make compact size active thrust small dimensions so it can be used in sliding machine guideways linear translation motions. Active its supporting components designed solid produced high precision CNC machining process. There are two digital valves by board through PWM...

Biometric-based digital door locking system plays a significant role in providing authentication, reducing the workforce smart homes, and building automation scenarios. This paper proposes prototype model of an IoT-based Smart Door Locking System (SDLS) with reliable double-access authentication. The IoT biometric technology authentication mechanism is adopted to make SDLS more secure reachable alert on unauthorized access. contains scanner, thumb impression made either from mobile or...

With the expanding power demands and increasing use of renewable energy resources, microgrids have been widely supported. The wide bandgap semiconductor devices with higher blocking voltage capabilities switching speed such as silicon carbide (SiC) will become a critical component in building microgrid. In this paper, loss current harmonics both Si-IGBT SiC-MOSFET based inverters are investigated compared low (LV) microgrid applications, respectively. And experimental results show that...

In today's encouraging world of technology, mobile applications are a speedily increasing segment the worldwide market. An android operating system is highest accepted and extremely developing open platform for application development. Due to rise impaired people population there limited technological-based facilities, we want leverage technology develop an Information & Communication Technologies (ICT) based smart portable cane visually using application. We have created information-based...

The current research develops a mathematical model and control strategies to address two major problems force fighting precise position tracking for hybrid actuation system composed of servo-hydraulic actuator electro-mechanical (SHA/EMA). desired are essential the SHA/EMA large civil aircraft. trajectory-based fractional order proportional integral derivative (FOPID) is proposed, tuned with help particle swarm optimization (PSO) technique implemented support FOMCON toolbox in Matlab....