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Techno‐economic assessment of solar photovoltaic integration into national grids: A case study of Burkina Faso
摘要： To promote a low‐carbon society, it is urgent to better integrate renewable energies into energy supply systems. This paper examines the impact of solar photovoltaic (PV) integration into the national electrical grid in Burkina Faso on the electricity production cost. The analysis is based on the levelized cost of electricity (LCOE) technique. Several levels of PV integration have been considered namely 20%, 40%, 60%, and 80% of the total installed capacity. First, the results revealed all the configurations with PV integration are more attractive and cost‐effective compared with the conventional diesel standalone electricity system. The sensitivity analysis shows that the configuration with 80% PV is the most attractive when compared to the other ones as it has the lowest LCOE and CO2 emissions compared with the other scenarios. This paper also shows that in the context of rising fuel prices and environmental concern, the electricity production based on diesel standalone system is not a viable solution for Burkina Faso at the moment. Finally, the results revealed that subsidies offered by the government of Burkina Faso to support the electricity production cost will be more effective for a system with PV integration. This paper gives detail highlights of solution for policymakers to make useful investment in solar energy and widen the access to electricity in Burkina Faso.
关键词： Burkina Faso,optimization,solar photovoltaic,levelized cost of electricity,diesel generator,grid integration
更新于2025-09-11 14:15:04
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Factors Influencing Social Perception of Residential Solar Photovoltaic Systems in Saudi Arabia
摘要： Saudi Arabia has taken major steps to shift from an oil-centered to more environmentally-focused economy. One approach made recently is to enable households to possess and generate electricity by using small-scale residential solar photovoltaic systems (RSPSs). However, the number of applications to install this technology in residences is signi?cantly low. Social acceptance of solar energy is essential for a successful energy transition. Hence, the present study aims to examine factors that may potentially motivate or impede individuals from purchasing RSPSs based on the di?usion of innovations theory. A cross-sectional, web-based survey is conducted including 1498 participants from the ?ve main regions of Saudi Arabia. Results revealed a good cognition level in relation to solar energy, where the majority (64–83%) of respondents are aware of the bene?ts. An overwhelming proportion of the respondents (97%) associate RSPSs with a signi?cantly positive image, with no signi?cant variation in the acceptance or rejection rates among the ?ve areas covered by the survey (p = 0.1). The results also show high statistical signi?cance for the di?erences between RSPS acceptors and rejecters in all innovation attributes (p < 0.001). However, the perception of relative advantage has a higher correlation with acceptance RSPSs. These perceived advantages were of rather long-term non?nancial bene?ts, such as environmental protection against global warming and provision of unlimited power, rather than the revenue related to direct costs bene?ts. The study also revealed that the installation cost was the most signi?cant barrier to adopting the RSPS, which can be a focus for RSPS dissemination policies.
关键词： public acceptance,residential solar photovoltaic systems,innovation discussion,social perception
更新于2025-09-11 14:15:04
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Assessment of 50?kWp rooftop solar photovoltaic plant at The ICFAI University, Jaipur: A case study
摘要： Currently, India is espousing nonconventional energy sources at an express rate owing to concerns about climate change, emission of harmful greenhouse gases (GHG), and exhausting conventional energy sources. The solar photovoltaic (SPV) plants are, hence, expected to play a noteworthy role to meet energy security and sustainability goals. Contemporary studies reveal substantial ecological concerns associated with installing the ground mounted SPV plants in urban locations. Further observations depict that aforementioned plants need additional land, transmission, and distribution infrastructures. Consequently, rooftop SPV plants are the best solution to produce energy in urban locations, owing to the availability of a large number of empty rooftop spaces with least capacity expenditure. The present article discusses the techno-economic and ecological aspects of a 50 kWp rooftop SPV plant installed at ICFAI University, Jaipur. The plant has produced around 64.149 MWh in the year 2017. The technical assessment focuses on the effects of the meteorological parameters upon energy generation factors. The annual average final yield, reference yield, capacity utilization factor, and performance ratio found to be 106.9 kWh/kWp/month, 149.7 kWh/kWp/month, 14.64 and 70%, respectively. The economic parameters like net present value, internal rate of return, profitability index, and payback period are computed with 0–50% subsidy rates, which supports the financial viability of the plant. The plant contributed significantly to reducing GHG emissions by mitigating 102 t CO2, 128 kg SO2, 268 kg NOx, and 7,033 kg ash in the year 2017 as evident from the ecological investigation.
关键词： rooftop solar photovoltaic plant,GHG emissions,meteorological parameters,pay back period,capacity utilization factor,performance ratio
更新于2025-09-11 14:15:04
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Numerical Performance Evaluation of Solar Photovoltaic Water Pumping System under Partial Shading Condition using Modern Optimization
摘要： Renewable energy is an attractive solution for water pumping systems particularly in isolated regions where the utility grid is unavailable. An attempt is made to improve the performance of solar photovoltaic water pumping system (SPVWPS) under partial shading condition. Under this condition, the power versus voltage curve has more than one maximum power point (MPP), which makes the tracking of global MPP not an easy task. Two MPP tracking (MPPT) strategies are proposed and compared for tracking MPP of SPVWPS under shading condition. The first method is based on the classical perturb and observe (P&O) and the other method is based on a Salp Swarm Algorithm (SSA). Based on extensive MATLAB simulation, it is found that the SSA method can provide higher photovoltaic (PV) generated power than the P&O method under shading condition. Consequently, the pump flowrate is increased. But, under normal distribution of solar radiation, both MPPT techniques can extract the maximum power but SSA is considered a time-consuming approach. Moreover, SSA is compared with particle swarm optimization (PSO) and genetic algorithm (GA). The obtained results ensure the superiority of SSA compared with PSO and GA. SSA has high successful rate of reaching true global MPP.
关键词： water pumping,solar photovoltaic,numerical evaluation,modern optimization
更新于2025-09-11 14:15:04
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[IEEE 2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) - Kottayam, India (2018.12.21-2018.12.22)] 2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) - Performance Analysis of Solar Photovoltaic System with Fuzzy Based Variable Step Size MPPT Algorithm Using Matlab /Simulink
摘要： In the recent decades, Photovoltaic (PV) power generation has become one of the primary power source due to the advantages such as less maintenance and environmental benefits. Moreover, the generation source is ultimately free and abundant. However, the major barriers related to PV power generation are low power conversion efficiency, high cost of PV modules and nonlinearity in output power. Because of low power conversion efficiency, PV systems should work always at its Maximum Power Point (MPP). A power conditioning unit with Maximum Power Point Tracking (MPPT) technique is employed in the PV systems to harvest maximum power. The main function of MPPT is to detect the MPP for the given conditions and operate the system at that point. In this paper Fuzzy Logic Controller (FLC) based variable step size MPPT for a standalone solar PV system is presented. Solar PV system with Fuzzy based MPPT controller in Matlab /Simulink. The performance of proposed variable step size fuzzy MPPT algorithm is studied for different input conditions and analyzed in terms of performance parameters such as tracking speed, steady state oscillations, response under variations in irradiance and temparature, average output power and output power ripple. The results are compared with Variable Step Size Incremental Conductance (VSS InC) MPPT algorithm and conventional InC based PV system.
关键词： Solar Photovoltaic (SPV),Fuzzy Logic Control (FLC),MATLAB/Simulink,Simulation,Variable Step Size Incremental Conductance (VSS InC),Maximum Power Point Tracking (MPPT)
更新于2025-09-11 14:15:04
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Analysis Performance of Grid Tie Photovoltaic Type Polycrystalline Using Solar Irradiance Simulation
摘要： Indonesia is a country consisting of several islands some of which are still not covered by electricity. It is this source of PV that can be used to meet the needs of people who are not yet affordable with PLN electricity. Basically, PV includes the generation of new renewable energy types. This new form of energy comes from sunlight. Using semiconductor materials can convert energy from sunlight to electrical energy. Because in Indonesia this includes tropical climates located on the equator line, making Indonesia has a very high intensity of light. Several factors affect electrical energy, namely the extent of PV to be used, the total irradiance received by PV, the decrease in performance due to weather and cleanliness of the PV used such as snow and oiliness. In this study explained the Analysis of Irradian-based Grid Tie photovoltaic performance with Polycrystalline PV types. Taking irradian data using a Solar Power Meter, irradiance and temperature data at a certain time will use the Incremental Maximum Power Point Tracking (MPPT) method, DC-DC boost converter, inverter, voltage source converter (VSC) using algorithm and equipment controls connected to network. This research is simulated using Matlab with the Simulink program.
关键词： Irradiance,PVArray,MPPT,Temperature,Grid,Solar Photovoltaic
更新于2025-09-11 14:15:04
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Solar Photovoltaic Array Reconfiguration using Magic Su-Do-Ku algorithm for Maximum Power Production under Partial Shading Conditions
摘要： Power generation using photovoltaic (PV) array diminishes during shading. Under the conditions, the solar PV modules are exposed to dissimilar solar irradiation. The power vs voltage curve and current vs voltage curve of such PV array consist of multiple peaks in its characteristics and consequently the mismatch losses occur. This paper explores the power enhancement in PV array, which is exposed to partial shading conditions, through Magic Su-Do-Ku based static reconfiguration. The previous suggested static reconfiguration strategies attain poor power enhancement due to ineffectual shade dispersion. This proposed Magic Su-Do-Ku based interconnection arrangement overcomes these drawbacks to attain uniform shadow dispersion without altering the Total-Cross-Tied (TCT) connections. The power enhancement of the PV array has been analyzed through its P-V characteristics, mismatch loss, and effect of shade dispersion on its maximum power point (MPP) with different shading patterns. The performance of suggested arrangement shows good results for various shading patterns.
关键词： Magic Su-Do-Ku pattern,Mismatch losses,Solar Photovoltaic system,Static reconfiguration,Partial shading
更新于2025-09-11 14:15:04
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Application of Supply-Demand-Based Optimization for Parameter Extraction of Solar Photovoltaic Models
摘要： Modeling solar photovoltaic (PV) systems accurately is based on optimal values of unknown model parameters of PV cells and modules. In recent years, the use of metaheuristics for parameter extraction of PV models gains more and more attentions thanks to their efficacy in solving highly nonlinear multimodal optimization problems. This work addresses a novel application of supply-demand-based optimization (SDO) to extract accurate and reliable parameters for PV models. SDO is a very young and efficient metaheuristic inspired by the supply and demand mechanism in economics. Its exploration and exploitation are balanced well by incorporating different dynamic modes of the cobweb model organically. To validate the feasibility and effectiveness of SDO, four PV models with diverse characteristics including RTC France silicon solar cell, PVM 752 GaAs thin film cell, STM6-40/36 monocrystalline module, and STP6-120/36 polycrystalline module are employed. The experimental results comparing with ten state-of-the-art algorithms demonstrate that SDO performs better or highly competitively in terms of accuracy, robustness, and convergence. In addition, the sensitivity of SDO to variation of population size is empirically investigated. The results indicate that SDO with a relatively small population size can extract accurate and reliable parameters for PV models.
关键词： parameter extraction,cobweb model,solar photovoltaic models,supply-demand-based optimization,metaheuristic
更新于2025-09-11 14:15:04
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Influence of Temperature on the Output Parameters of a Photovoltaic Module Based on Amorphous Hydrogenated Silicon
摘要： The light load current-voltage characteristics of a solar photovoltaic module based on amorphous hydrogenated silicon have been studied at different temperatures under conditions of natural solar illumination (Рrad = 870 ± 10 W/m2). It has been found that the temperature dependence of the photocurrent has two slopes due to a change in the generation–recombination mechanism. The increase in the value of the short-circuit current with increasing temperature of the photovoltaic module is explained by a rise in the drift lengths of minority charge carriers due to an increase in the lifetime of minority carriers. In this case, the quasi Fermi level shifts to the conduction band, and the concentration of recombination centers decreases due to recharging of defective levels (D0 → D–). The decrease in the value of the open-circuit voltage with increasing temperature is explained by the exponential increase in the reverse saturation current and decrease in the band gap of the semiconductor. It has been found that the fill factor (FF) of the current–voltage characteristics decreases with increasing temperature, most likely due to a decrease in the shunt resistance (Rsh), which connects parallel to the p–n junction, consists of parasitic resistances, and leads to an increase in leakage currents. The temperature coefficient of the maximum output power has a positive value in the range of 320–332 K, i.e., increases with temperature. It has been revealed that the values of shunt and series resistance decrease with increasing temperature. A large loss of power output (up to 19%) has been observed on the series resistance of the solar photovoltaic module in the temperature range of 320–332 K. With increasing temperature, the loss of generated power on the shunt resistance grows sublinearly. The efficiency of the solar photovoltaic module decreases from 7.95 to 7.65% and has a coefficient of temperature dependence of efficiency, which decreases from ≈ –0.029%/K to ≈ –0.046%/K.
关键词： shunt resistance,series resistance,efficiency,temperature,open-circuit voltage,fill factor,solar photovoltaic module,amorphous hydrogenated silicon,short-circuit current
更新于2025-09-11 14:15:04
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Intelligent approach-based hybrid control algorithm for integration of solar photovoltaic system in smart grid environment
摘要： Integration of solar PV as a distributed generator (DG) require efficient and coordinated control measures for the proper synchronization. In this paper, a hybrid control algorithm for single stage solar photovoltaic (PV) system integrated with low voltage (LV)/medium voltage (MV) grid is proposed. The hybrid algorithm utilizes I cos ? technique and quasi-Newton back-propagation (QNBP) neural network (NN). The main contributions of the present work are: i) support the utility grid by feeding power and connected loads, ii) provide harmonics elimination, reactive power compensation, load balancing, iii) also works in power factor correction (PFC) and zero voltage regulation modes, iv) provides power quality improvement. The proposed control of grid tied PV system provides very fast response during static and dynamic conditions. The obtained results are compared with other well-established algorithms available in the literature. The comparison of the proposed algorithm is done on the basis of various parameters such as DC voltage undershoot and overshoot, settling time and THD in grid currents. The developed system is demonstrated in MATLAB/SIMULINK platform. Using the proposed algorithms there is significant improvement of 1.1% in total harmonic distortion (THD) of source current. The results of proposed controllers are experimentally validated on a developed laboratory protype.
关键词： hybrid control algorithm,power quality improvement,quasi-Newton back-propagation neural network,smart grid,solar photovoltaic system
更新于2025-09-11 14:15:04