Model-based fault detection in photovoltaic systems: A comprehensive review and avenues for enhancement

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101835 - 101835

Published: Jan. 30, 2024

Solar photovoltaic (PV) systems have become a vital renewable energy source, witnessing rapid global demand. Nevertheless, these are susceptible to faults and anomalies that can deteriorate performance yield significant consequences. Hence, this paper is dedicated reviewing recent advancements in monitoring, modeling, fault detection methods for PV systems. It encompasses diverse system types, including grid-connected, stand-alone, hybrid configurations, delves into the latest data acquisition monitoring techniques. The review also discusses various modeling approaches, empirical, analytical, numerical models, highlighting significance of model validation calibration. Furthermore, it provides comprehensive analysis model-based Overall, underscores pivotal role offers thorough comprehension available techniques enhancing management maintenance.

Language: Английский

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Efficient reduction of power losses by allocating various DG types using the ZOA algorithm

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102560 - 102560

Published: July 14, 2024

The continuous challenge of ensuring energy supply is a significant concern. Traditionally, utilities have addressed increasing load demands by building new central power plants or expanding existing ones. However, these methods are time-consuming and costly, providing only short-term solutions. Additionally, often far from centers, resulting in higher losses during long-distance transmission. integration distributed generation (DG), characterized smaller scale lower capital costs, with nearby consumers can effectively address challenges. Due to the influence DG penetration their specific locations on distribution system's performance, this study offers novel Zebra Optimization Algorithm (ZOA). suggested ZOA used optimize capacity position various units connected radial system reduce stability after allocation using Voltage Stability Index (VSI). evaluation conducted IEEE 33-bus test system, considering scenarios including single multiple DGs different types. results demonstrate that best scenario, up 94.25 % improve VSI 0.69643 0.9605. These findings highlight superior performance over other techniques optimizing placement sizing for performance.

Language: Английский

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Multi-functional voltage and current based enhancement of power quality in grid-connected microgrids considering harmonics

Heliyon, Journal Year: 2024, Volume and Issue: 10(4), P. e26008 - e26008

Published: Feb. 1, 2024

The introduction of a renewable energy source (RES) based multi-functional grid-tied inverter (MFGTI) stands as favorable remedy for addressing power quality concerns within distributed generation (DG) systems and microgrids. Nonetheless, the effectiveness traditional MFGTI will be restricted in issues on voltage. presented research proposes novel structure to enhance associated with voltage, current, harmonic distortions resulting from both grid loads. Based this strategy, introduced can linked by bidirectional switches either parallel or series. This feature provides various operational conditions response diverse disruptions grid. To effectively adjust current voltage reduction are determined through mathematical analysis, considering load requirements. Furthermore, strategy offers different compensation strategies, control schemes, transition modes MFGTI. major disturbances such unbalanced balanced swell/sag, harmonics, interruption compensated. shunt controller is second order sequence filter (SOSF) provide active component. A damping PI regulator series swell/sag reduction. Moreover, new three level hierarchical proposed which droop compensating decouple dual synchronous reference frame (DDSRF) sag/swell utilized. simulations MATLAB/SIMULINK show that using compensate changing states algorithm switches.

Language: Английский

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Optimization and control of photovoltaic water pumping system using kalman filter based MPPT and multilevel inverter fed DTC-IM

Results in Engineering, Journal Year: 2022, Volume and Issue: 17, P. 100829 - 100829

Published: Dec. 13, 2022

This paper aims to research a photovoltaic solar water pumping system (PVWPS) based on three-phase induction motor (IM) with high performance, low cost, and without chemical energy storage. The proposed control for the PVWPS consists of two principal controllers. first controller is used reach its maximum using robust MPPT strategy that Kalman filter algorithm (KF-MPPT). While second 12-sectors Direct Torque Control (DTC). technique IM centrifugal pump through three-level inverter neutral point clamped (NPC) structure. Furthermore, increase performance affecting efficiency, torque flux hysteresis regulators level increased five three levels, respectively. To see behaviors control, whole was designed simulated in MATLAB/Simulink environment. work also includes comparative analysis show compared conventional controls. done compare KF-MPPT, VSS-P&O-MPPT, VSS-INC-MPPT variable radiation, then KF-MPPT-PDTC KF-MPPT-DTC under daily climatic profile. results showed KF-MPPT PDTC provide better terms reference tracking, response time, ripple reduction, current quality, as well pumped.

Language: Английский

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Energy profit evaluation of a photovoltaic system from a selected building in Jordan

Results in Engineering, Journal Year: 2023, Volume and Issue: 18, P. 101177 - 101177

Published: May 17, 2023

The purpose of this study is to find the most profitable way construct a photovoltaic (PV) system on residential building in Amman by taking into account local climate, average monthly energy use, and rates charged electric utility. has usage 550 kWh average, with biggest demand for occurring months January December lowest April, May, June. mounted at variety angles, including 10°, 20°, 32°, 54°. This took fact that price electrical dependent electricity order determine periods day when there greatest need energy. Another crucial aspect consider sun's strength, which shifts during course year. When solar intensity its peak power are their highest, PV considered as realistic choice satisfy needs. because systems can generate even cloudy conditions. A comprehensive examination taken cell produced result also included study.

Language: Английский

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An accurate real time neural network based irradiance and temperature sensor for photovoltaic applications

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101766 - 101766

Published: Jan. 7, 2024

The functioning of photovoltaic (PV) systems mainly depends on the climatic conditions, including incident solar irradiance intensity and module temperature. Thus, operating temperature are key factors for assessing monitoring performance PV systems. This work develops a cells-based sensor accurate measurement both proposed relies Neural Network (NN) soft sensor, trained to estimate modules without direct measurements. NN model uses short circuit current (ISC) open-circuit voltage (VOC) reference as inputs estimation. accuracy is validated through indoor outdoor experiments using emulator real panel, respectively. Indoor results affirmed tracking capability estimator temperature, in constant rapidly changing sudden changes. achieved an exceptional level with Mean Absolute Percentage Error (MAPE) 1.45% 1.64% Similarly, real-time data further validate obtained Normalized Root Square (NRMSE) 1.22% 3.50% outperforming other methods published literature.

Language: Английский

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Empirical analysis of power quality using UPQC with hybrid control techniques

Results in Engineering, Journal Year: 2023, Volume and Issue: 20, P. 101527 - 101527

Published: Oct. 24, 2023

The Unified Power Quality Conditioner (UPQC), composed of both parallel active filters (PAF) and series (SAF), recognized as a crucial device for enhancing the overall power quality system. In context, different control methods are employed to evaluate performance UPQC. This study aims explore four distinct techniques: dq, pq, Artificial Neural Network (ANN) Adaptive Neuro Fuzzy Inference System (ANFIS) in hybrid combinations manage PAF SAF UPQC device. Four cases developed addressing three problems: harmonic distortion, voltage sag, swell these techniques. results revealed significant reduction Total Harmonic Distortion (THD) ANFIS-ANN method, achieving THD value 4.26 % load 0.08 source current after compensation comparison with other methods. Furthermore, this paper concludes by recommending most suitable combination techniques specific applications.

Language: Английский

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Multimode control strategy to improve the power quality and autonomy of PV-Wind-BESS based microgrid using harmonic frequency adaptive observer filter

Electric Power Systems Research, Journal Year: 2023, Volume and Issue: 225, P. 109786 - 109786

Published: Sept. 1, 2023

Language: Английский

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Battery energy storage systems reinforcement control strategy to enhanced the maximum integration of PV to generation systems

Results in Engineering, Journal Year: 2023, Volume and Issue: 18, P. 101184 - 101184

Published: May 19, 2023

Java Bali area has high potential of renewable energy resources (RES) especially for photovoltaic (PV) which can supply the power system electricity. However, PV generation intermittent characteristic, in may disturb operation. The disturbance is related to technical minimum load (TML) and ramping capability. For that purpose, maximum size should be determined regulated since it depends on generating unit type. regulation realized using reinforcement battery storage (BESS) provide flexibility, frequency management. method determine penetration level proposed this research, based commitment (UC) procedure. BESS facilities are also included as technology option more flexibility. will level, periodically committed unit, dispatched charging discharging status. simulated simplified System under three different period weekdays, weekend lowestday scenario having demand peakload combining options. result shows integration 49%, 35% 23% during lowestday, respectively. On contrary, without only 45%, 31% 17%.

Language: Английский

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Compensating voltage waveform distortions using a practical topology of series active power filters

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102032 - 102032

Published: March 13, 2024

Addressing harmonics, voltage sags, swells, and asymmetrical variations is essential to seamlessly integrate renewable energy sources, electric vehicle charging stations, power electronics devices into grids. These issues can significantly impact the sinusoidal symmetry of waveforms. Series Active Power Filters (APFs) present a promising solution that dramatically improve quality (PQ) by effectively addressing distortions. This paper first identifies several topology-related impracticalities in existing literature on series APFs, such as using nonlinear loads or linear with current source. Secondly, understand motivations behind these impracticalities, commonly used reference extraction methods, namely, Instantaneous Reactive Theory (IRPT) Synchronous Reference Frame (SRF), are tested practical topology consisting distorted source RL load. Results conducted MATLAB/Simulink environment show IRPT fails extract signal under topology, SRF leads unacceptable THDs surpassing 5% threshold mandated relevant standards set forth for applications. Thirdly, matrix pencil method (MPM), model-based parameter estimation technique exploits waveform's underlying exponential model APF's voltage, proposed. Extensive simulations showcase superior performance MPM-based APF. It successfully reduces total harmonic distortion (THD) below 1.13% across various scenarios, including situations involving harmonic-polluted incorporating loads, sag swell phenomenon, capacitor utilization DC link implementation. © 2017 Elsevier Inc. All rights reserved.

Language: Английский

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