Performance Enhancement of Partially Shaded Solar Photovoltaic Array Using Grouping Technique

2015 ◽  
Vol 137 (3) ◽  
Author(s):  
S. Malathy ◽  
R. Ramaprabha
Keyword(s):  
Control Algorithm ◽  
Performance Enhancement ◽  
Multilevel Inverter ◽  
Energy Yield ◽  
Solar Photovoltaic ◽  
Pv System ◽  
Effective Technique ◽  
Photovoltaic Array ◽  
Efficient Control

The energy yield of the photovoltaic (PV) system is reduced to a greater extent under shaded conditions. Reconfiguration and repositioning techniques demand more number of sensors, switches, and an efficient control algorithm and are well suited for rapidly changing shade conditions. However, for fixed shading that is common in urban rooftop installations, where the shading is partial and usually caused by nearby structures, a simple, yet effective technique is necessary. This paper addresses the issue by grouping the panels based on shade intensity and the merits of asymmetrical multilevel inverter (AMLI) are utilized as the working voltage of each group is different.

scholarly journals Investigation of Solar Photovoltaic-Thermal (PVT) and Solar Photovoltaic (PV) Performance: A Case Study in Ghana

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2701 ◽  
Author(s):  
Saeed Abdul-Ganiyu ◽  
David A Quansah ◽  
Emmanuel W Ramde ◽  
Razak Seidu ◽  
Muyiwa S. Adaramola
Keyword(s):  
Alternative Energy ◽  
Crystalline Silicon ◽  
Real Life ◽  
Electrical Energy ◽  
Energy Output ◽  
Total Output ◽  
Energy Yield ◽  
Solar Photovoltaic ◽  
Pv System ◽  
Yearly Average

The main objective of this paper is to experimentally assess the real-life outdoor performance of a photovoltaic-thermal (PVT) module against a conventional photovoltaic (PV) system in a hot humid tropical climate in Ghana. An experimental setup comprising a water-based mono-crystalline silicon PVT and an ordinary mono-crystalline silicon PV was installed on a rooftop at the Kwame Nkrumah University of Science and Technology in Kumasi and results evaluated for the entire year of 2019. It was observed that the annual total output energy of PV module was 194.79 kWh/m2 whereas that of the PVT for electrical and thermal outputs were 149.92 kWh/m2 and 1087.79 kWh/m2, respectively. The yearly average daily electrical energy yield for the PV and PVT were 3.21 kWh/kWp/day and 2.72 kWh/kWp/day, respectively. The annual performance ratios for the PV and PVT (based on electrical energy output only) were 79.2% and 51.6%, respectively, whilst their capacity factors were, respectively, 13.4% and 11.3%. Whereas the highest monthly mean efficiency recorded for the PV was 12.7%, the highest combined measured monthly mean electrical/thermal efficiency of the PVT was 56.1%. It is also concluded that the PVT is a worthy prospective alternative energy source in off-grid situations.

Enhancing the Performance of Solar Photovoltaic Water Pumping System by Water Cooling Over and Below the Photovoltaic Array

2019 ◽  
Vol 142 (2) ◽  
Author(s):  
Arunendra K. Tiwari ◽  
Vimal C. Sontake ◽  
Vilas R. Kalamkar
Keyword(s):  
Performance Enhancement ◽  
Climatic Conditions ◽  
Pump Efficiency ◽  
Solar Photovoltaic ◽  
Water Cooling ◽  
Cell Temperature ◽  
Photovoltaic Array ◽  
Pumping System ◽  
Water Pumping ◽  
Institute Of Technology

Abstract Lower operating temperatures of the photovoltaic (PV) cells increase the performance and efficiency of any PV installation. The efficiency of solar photovoltaic water pumping system (SPVWPS) decreases considerably with the increase in the PV cell temperature. In this paper, the performance of a 2 hp SPVWPS has been investigated experimentally, for the influence of panel cooling, using water. The experimental observations have been made under climatic conditions of Visvesvaraya National Institute of Technology, Nagpur campus, India, during the year 2018. The performance was evaluated under four different cases: (a) without panel cooling, (b) with water cooling on the top of the panel surface, (c) with water cooling on beneath the surface of the panel, and (d) with water cooling beneath the surface of the panel using jute. The effect of different cooling cases on the various performance parameters such as discharge, power output, pump efficiency, and system efficiency has been analyzed and discussed. The results showed that the water cooling on the top of the panel and beneath the surface of the panel with jute has considerable influence on performance enhancement when compared with other cases.

scholarly journals Cooling Effect on the Floating Solar PV: Performance and Economic Analysis on the Case of West Java Province in Indonesia

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2126 ◽  
Author(s):  
Adimas Pradityo Sukarso ◽  
Kyung Nam Kim
Keyword(s):  
Remote Sensing ◽  
Energy Yield ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv System ◽  
Levelized Cost Of Electricity ◽  
Energy Technologies ◽  
Base Scenario ◽  
Solar Pv System ◽  
Economics Analysis

Solar photovoltaic technology is one of the most well established new and renewable energy technologies. Many researchers have undertaken wide research and development in this sector, including material and system design. To protect the exhaustion of global terrestrial land and to avoid the occupation of extensive farmlands, solar photovoltaic (PV) developers, as well as policymakers, have pursued various solutions, including the development of floating solar PV (FPV). This study consists of a technological and economic perspective to analyze the floating solar PV system. The authors utilize remote sensing results to predict FPV efficiency and measure energy yield from the system while also developing an economics analysis on an FPV project by comparison with ground-based solar PV (GPV). The results from the remote sensing method found that the lake has a cooler temperature than the ground, with an annual difference of around 8 °C. FPV efficiency was also shown to be around 0.61% higher than GPV in terms of the prediction. FPV economic parameter comparison also resulted in 3.37 cents/kWh lower levelized cost of electricity (LCOE), and 6.08% higher internal rate of return (IRR) compared to GPV in the base scenario.

scholarly journals Defects Impact on PV System GHG Mitigation Potential and Climate Change

2021 ◽  
Vol 13 (14) ◽  
pp. 7793
Author(s):  
Waqas Ahmed ◽  
Jamil Ahmed Sheikh ◽  
Shahjadi Hisan Farjana ◽  
M. A. Parvez Mahmud
Keyword(s):  
Green Energy ◽  
Energy Yield ◽  
Solar Photovoltaic ◽  
Energy Potential ◽  
Pv System ◽  
Time Duration ◽  
Ghg Mitigation ◽  
Mitigation Potential ◽  
Pv Systems ◽  
Pv Panel

Solar photovoltaic (PV) systems are widely used to mitigate greenhouse gases (GHG), due to their green renewable nature. However, environmental factors such as bird drops, shade, pollution, etc., accommodation on PV panels surface reduce photons transmission to PV cells, which results in lower energy yield and GHG mitigation potential of PV system. In this study, the PV system’s energy and GHG mitigation potential loss is investigated under environmental stresses. Defects/hotspots caused by the environment on PV panel surface have unknown occurrence frequency, time duration, and intensity and are highly variable from location to location. Therefore, different concentrations of defects are induced in a healthy 12 kWp PV system. Healthy PV system has the potential to avoid the burning of 3427.65 L of gasoline by 16,157.9 kWh green energy production per annum. However, in 1% and 20% defective systems, green energy potential reduces to 15,974.3 and 12,485.6 kWh per annum, respectively. It is equivalent to lesser evasion burning of 3388.70, and 2648.64 L of gasoline, respectively. A timely solution to defective panels can prevent losses in the PV system to ensure optimal performance.

scholarly journals Differential Evolution Based Solar Photovoltaic Array Reconfiguration Algorithm for Optimal Energy Extraction during Partial Shading Condition

2018 ◽  
Vol 9 (3) ◽  
pp. 1397
Author(s):  
M. A. I. A. Tazally ◽  
M. F. N. Tajuddin ◽  
A. Azmi ◽  
S. M. Ayob ◽  
T. Sutikno
Keyword(s):  
Differential Evolution ◽  
Control Algorithm ◽  
Pso Algorithm ◽  
Total Output ◽  
Energy Yield ◽  
Partial Shading ◽  
Photovoltaic Array ◽  
Pv Array ◽  
Switching Matrix ◽  
A New Technique

To increase energy yield from an installed photovoltaic (PV) array, particularly during partial shading condition (PSC), a new technique based on reconfigurable PV array interconnection is proposed in this work. The proposed technique works by dynamically changing the interconnection of PV modules to form a new configuration using a switching matrix inside the array. The criteria of good reconfigurable PV array interconnection techniques depend on the efficiency and accuracy of the control algorithm to optimally reconfigure the PV array to maximize the total output power. Hence, this paper proposes a new control algorithm using differential evolution (DE) for photovoltaic array reconfiguration (PVAR). To verify the superiority of the proposed algorithm, DE is compared with the particle swarm optimization (PSO) algorithm. Results confirm that DE performs well in terms of the amount of energy production during PSC. For all the nine shading patterns tested on a 3 × 3 PV array, DE yields 1% to 5% more power than PSO.

scholarly journals Performance evaluation of roof top solar photovoltaic systems in Tamilnadu

2019 ◽  
Vol 8 (3) ◽  
pp. 265
Author(s):  
M. Aravindan ◽  
V. Balaji ◽  
V. Saravanan ◽  
M. Arumugam
Keyword(s):  
Power Plants ◽  
Performance Ratio ◽  
Electricity Production ◽  
Energy Yield ◽  
Solar Photovoltaic ◽  
Pv System ◽  
System Output ◽  
And Performance ◽  
Bad Weather ◽  
Performance Results

This manuscript reports the monitored performance results of roof top solar photovoltaic (PV) power plants in different parts of Tamilnadu, India. In this work, PV plants of capacities 84 kWp and 18 kWp located at Tirunelveli and Ranipet respectively in Tamilnadu are considered. During an eight month period, of September 2014 to April 2015, these plants had generated 43.99 MWh and 15.55 MWh units of electricity respectively. The average electricity production per day for the considered period of these plants is 181.74 kWh and 62.81 kWh respectively. The performance ratio (PR) of these plants PV1 and PV2 is found to be 0.52 and 0.86 respectively. The characteristics of poly crystalline PV modules and the performance of employed photovoltaic inverters are also analyzed.It is observed that external conditions like climate and bad weather significantly reduces the PV system output, whereas it reduces marginally due to inverter failure as observed from the values of energy yield and performance ratio of these plants. Online monitoring of PV plant with DC/AC line and phase voltages and current waveforms observed for the given day are also presented.

Modeling and Simulation of 27- Level Hybrid H-Bridge Multilevel Inverter for PV System

2018 ◽  
Vol 7 (03) ◽  
pp. 23773-23780
Author(s):  
S. Priyanga ◽  
M.Valan Rajkumar
Keyword(s):  
Modeling And Simulation ◽  
Maximum Power ◽  
Multilevel Inverter ◽  
Solar Pv ◽  
Pv System ◽  
Photovoltaic Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Conductance Method ◽  
Power Point

In this paper, modeling of photovoltaic array and hybrid H-bridge multilevel inverter is done using latest algorithm techniques in order to improve the performance of the PV system and decrease the complexity and total cost of the inverter. Here MPPT algorithm is used for extracting the maximum power from the solar PV module and transferring that power to the load by varying the duty cycle. Among MPPT algorithm techniques, incremental conductance method can perform maximum power point tracking under rapidly varying irradiation conditions with higher accuracy than the perturb and observe method .A hybrid H-bridge multilevel inverter is preferred over all other topologies as it requires less number of switches by which high number of voltage levels are obtained and also reduced THD. The modeling and simulation for the above systems is performed in MATLAB and the generated output voltage is analyzed

scholarly journals Dynamic Performance Enhancement of Power Grids by Operating Solar Photovoltaic (PV) System as Supercapacitor Energy Storage

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4277
Author(s):  
Morteza Daviran Keshavarzi ◽  
Mohd Hasan Ali
Keyword(s):  
Energy Storage ◽  
Performance Enhancement ◽  
Simulation Analysis ◽  
Dynamic Performance ◽  
Storage System ◽  
System Stability ◽  
Solar Photovoltaic ◽  
Energy Storage Devices ◽  
Pv System ◽  
Cloudy Weather

Energy storage devices are collocated with conventional solar photovoltaic (PV) systems to tackle the intermittency of solar irradiance and maintain the power quality of supplied energy. The energy storage system usually has its own conversion devices that may incur an extra capital cost of installation. This paper proposes an integrated and cost-effective photovoltaic-supercapacitor (PVSC) system in which the energy storage functionality of the supercapacitor (SC) is merged into the PV array where the power flow bidirectionally takes place to maintain the system stability under grid disturbances during the daytime, nighttime, and cloudy weather. A nonlinear mathematical model (NMM) was developed to conduct the stability analyses and to design the controller parameters, which facilitates a faster and more accurate numerical analysis compared to existing average models. The effectiveness of the proposed system was evaluated by simulation analysis and compared to that of the basic PV and a conventional SC system in which full energy storage is connected in parallel with the PV. The results demonstrate that the proposed PVSC system is effective in improving the dynamic performance of the connected power grid system. In addition, the proposed PVSC system fulfills the functionality of the conventional SC with merged conversion devices; that is, the performance of the proposed PVSC system is comparable to the conventional SC system.

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