Reliability Analysis of Bifacial PV Panel-Based Inverters Considering the Effect of Geographical Location

Kshatri, Sainadh Singh; Dhillon, Javed; Mishra, Sachin; Tariq, Rizwan; Sharma, Naveen Kumar; Bajaj, Mohit; Rehman, Ateeq Ur; Shafiq, Muhammad; Choi, Jin-Ghoo

doi:10.3390/en15010170

Cited by 12 publications

(7 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The most popular parameter of Naïve Bayes is expected a posteriori (EAP) from Equation ( 9), which is expected (θ ijk ) for density p θ ij D, G from Equation (10), which is the assumed a priori density p θ ij G from Equation (11) [41,43,44]:…”

Section: • Stage 7 Predicting the Expected Direction Of Product Quali...mentioning

confidence: 99%

“…The dynamics of the development of PV results are mainly due to the financial support of that industry in households. For example, it is possible to achieve approximately 70% to 80% of free energy from photovoltaic energy, where the billing period is defined annually [10,11]. Additionally, the development of photovoltaics results from a need to include many different conditions during its design, for example, location, place of installation, distance between panels, or individual customers' preferences [12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Universal Model to Predict Expected Direction of Products Quality Improvement

2022

View full text Add to dashboard Cite

Improving the quality of products remains a challenge. This is due to the turbulent environment and the dynamics of changing customer requirements. Hence, the key action is to predict beneficial changes in products, which will allow one to achieve customer satisfaction and reduce the waste of resources. Therefore, the purpose of this article was to develop a universal model to predict the expected direction of quality improvement. Initially, the purpose of the research was determined by using the SMART(-ER) method. Then, during the brainstorming method (BM), the product criteria and range states of these criteria were determined. Next, a survey with the Likert scale was used to obtain customers’ expectations, i.e., assessing the importance of criteria and customers’ satisfaction with ranges of product criteria states. Based on customer assessments, quality product levels were calculated using the Weighted Sum Model (WSM). Then, the initial customer satisfaction from the product quality level was identified according to the relative state’s scale. Based on this, the direction of product quality improvement was anticipated using the Naïve Bayesian Classifier (NBC). A test of the model was carried out for photovoltaic panels (PV) of a key EU producer. However, the proposed model is universal, because it can be used by any entity to predict the direction of improvement of any kind of product. The originality of this model allows the prediction of the destination of product improvement according to customers’ assessments for weights of criteria and satisfaction from ranges of quality-criterion states.

show abstract

Section: • Stage 7 Predicting the Expected Direction Of Product Quali...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Universal Model to Predict Expected Direction of Products Quality Improvement

2022

View full text Add to dashboard Cite

show abstract

“…It reduces overall cost, and higher efciency can be achieved but requires a complex control method for the operation. In single-stage PV energy systems, high-power applications in industries generally require a three-phase voltage source converter (VSC) for power conversion [36][37][38][39][40][41][42][43][44][45]. Te power extracted from solar and wind energy systems is highly intermittent and unpredictable.…”

Section: Introductionmentioning

confidence: 99%

Grid-Connected Solar PV System with Maximum Power Point Tracking and Battery Energy Storage Integrated with Sophisticated Three-Level NPC Inverter

Kishore¹,

Muni

Raja³

et al. 2023

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

In this research, a solar photovoltaic system with maximum power point tracking (MPPT) and battery storage is integrated into a grid-connected system using an improved three-level neutral-point-clamped (NPC) inverter. An NPC inverter with adjustable neutral-point clamping may achieve this result. To achieve this result, a modernized NPC inverter is used. Using the three-level vector modulation approach, the correct AC voltage may be generated when DC voltage conditions are present in an unbalanced situation involving an NPC inverter. A higher degree of precision is made possible by this. In-depth information on the many possible NPC inverter designs and modulation strategies was provided. By incorporating the necessary sophisticated algorithms into the NPC inverter, the necessary solar PV-MPPT functionality is made available, allowing for the regulation of power transfer among the solar PV system, the battery, and the grid. Modified INC method is proposed which has a tracking efficiency of 99.5% for varying irradiance. The use of sufficiently sophisticated algorithms makes this a reality. Using simulation with MATLAB/Simulink, we were able to examine an NPC inverter’s performance in several setups. Several amounts of solar irradiation were used to test the battery’s charging and discharging capabilities. The probe turned out to be fruitful. Laboratory testing ensures that the proposed method works by simulating real-world conditions.

show abstract

“…Regardless of the thermal model that a fatigue simulation may choose, most fatigue simulations need to reduce the junction temperature profile to accelerate the computational speed of rainflow counting. The most common approach to reduce the thermal profile is to average the junction temperature every fundamental cycle (50 or 60 Hz) [6,22,[27][28][29][30][31][32][33][34][35][36]. However, this method may result in the loss the peak and valley information when averaging the junction temperature.…”

Section: Introductionmentioning

confidence: 99%

Fast Quasi-Static Time-Series Simulation for Accurate PV Inverter Semiconductor Fatigue Analysis with a Long-Term Solar Profile

et al. 2022

View full text Add to dashboard Cite

Power system simulations with long-term data typically have large time steps, varying from one second to a few minutes. However, for PV inverter semiconductors in grid-connected applications, the minimum thermal stress cycle occurs over the fundamental grid frequency (50 or 60 Hz). This requires the time step of the fatigue simulation to be approximately 100 μs. This small time step requires long computation times to process yearly power production profiles. In this paper, we propose a fast fatigue simulation for inverter semiconductors using the quasi-static time-series simulation concept. The proposed simulation calculates the steady state of the semiconductor junction temperature using a fast Fourier transform. The small thermal cycling during a switching period and even over the fundamental waveform is disregarded to further accelerate the simulation speed. The resulting time step of the fatigue simulation is 15 min, which is consistent with the solar dataset. The error of the proposed simulation is 0.16% compared to the fatigue simulation results using the complete thermal stress profile. The error of the proposed method is significantly less than the conventional averaged thermal profile. A PV inverter that responds to a transactive energy system is simulated to demonstrate the use of the proposed fatigue simulation. The proposed simulation has the potential to cosimulate with system-level simulation tools that also adopt the quasi-static time-series concept.

show abstract

Reliability Analysis of Bifacial PV Panel-Based Inverters Considering the Effect of Geographical Location

Cited by 12 publications

References 11 publications

Universal Model to Predict Expected Direction of Products Quality Improvement

Universal Model to Predict Expected Direction of Products Quality Improvement

Grid-Connected Solar PV System with Maximum Power Point Tracking and Battery Energy Storage Integrated with Sophisticated Three-Level NPC Inverter

Fast Quasi-Static Time-Series Simulation for Accurate PV Inverter Semiconductor Fatigue Analysis with a Long-Term Solar Profile

Contact Info

Product

Resources

About