Grid-connected Solar Photovoltaic Plant Research Articles

A case study of techno-economic and environmental analysis of college rooftop for grid-connected PV power generation: Net zero 2050 pathway

In this study, a grid-connected solar photovoltaic plant (SPV) is designed, evaluated and analysed to meet the energy consumption of the College of Science and Technology in Siirt province, Turkey. The comprehensive financial and technical statistics in relation to parameters utilised within the system are presented alongside thorough economic and environmental evaluations. The design, economics, and technical evaluation of the system are supported by using PVsyst, PV*SOL and HOMER Pro. Based on the findings of the analysis, it has been determined that the photovoltaic installation is projected to provide an estimated 762 MWh of energy. In the economic evaluation conducted, the internal rate of return (IRR) was determined to be 19.55 %, the net present value (NPV) was calculated to be 346,085 USD with Levelized Cost of Energy (LCOE) of 0.1892 USD/kWh. In addition, the payback period of the photovoltaic plant is determined to be 17.4 years. The implementation of the photovoltaic panel system will result in an estimated reduction of roughly 6852 tonnes of carbon dioxide (tCO2) emissions.

A novel control strategy for power quality improvement in grid-connected solar photovoltaic system

<p>In this paper, a novel and dynamic, current control based inverter control strategy has been used for energy optimization and power quality improvement in a grid-connected solar photovoltaic plant using a PI controller. The output of the plant is delivered to the grid passing through a boost converter controlled by an MPPT controller and an inverter. The control strategy proposed offers the flexibility to keep control of active as well as reactive power being injected straight into the grid and also helps in mitigating the total harmonic distortion levels. Also, the effect of the conventional PI controller and PI controller optimized through Genetic Algorithm has been compared. The GA-PI controller has been found effective in reducing the Total Harmonic Distortion in the current injected in the grid. The effectiveness of the work has been observed by using a MATLAB/SIMULINK environment.</p>

Techno-Economic Evaluation of a Grid-Connected Solar PV Plant in Syria

The main objective of this paper is to analyze the techno-economic feasibility of installing a 300 kW grid-connected solar photovoltaic (PV) plant in Syria. Umm Al-Zaytun village in As-Suwayda province was chosen as a location of the plant, because it is characterized by the high annual solar irradiance on the horizontal surface of about 1900 kW h/m2. Technical performance analysis, system configuration, detailed losses and energy yield simulation for a proposed PV plant were performed, using the PVsyst software. The simulation results show, that the annual optimal tilt angle of PV modules is 25°, energy production is 493 MWh/yr, the annual average performance ratio is 0.799 and the capacity factor is 18.7%. In addition, by considering, that the electric power consumption per capita in Syria is 2232 kW h/yr, so the proposed solar power plant with 493 MW h/yr can provide energy to 220 capita/yr and save about 42.4 tons of oil equivalent yearly with carbon emission reduction of about 320.45 tCO2/yr. The economic evaluation of the proposed PV plant was carried out by Excel software with consideration, that the discount rate is 9%, the lifetime of the project is 25 years and the selling price of electricity to Syrian electricity distribution establishment is 0.119 $/kW h. The results of economic calculations show, that levelized cost of electricity is 0.094 $/kW h, the discounted payback period is about 11 years, the internal rate of return is 14%, profitability index is 1.46 and the net present value is 190587.3 $. As a result, the proposed grid-connected PV solar plant is considered economically, technically and environmentally feasible in Syria.

Correlation Feature Selection and Mutual Information Theory Based Quantitative Research on Meteorological Impact Factors of Module Temperature for Solar Photovoltaic Systems

The module temperature is the most important parameter influencing the output power of solar photovoltaic (PV) systems, aside from solar irradiance. In this paper, we focus on the interdisciplinary research that combines the correlation analysis, mutual information (MI) and heat transfer theory, which aims to figure out the correlative relations between different meteorological impact factors (MIFs) and PV module temperature from both quality and quantitative aspects. The identification and confirmation of primary MIFs of PV module temperature are investigated as the first step of this research from the perspective of physical meaning and mathematical analysis about electrical performance and thermal characteristic of PV modules based on PV effect and heat transfer theory. Furthermore, the quantitative description of the MIFs influence on PV module temperature is mathematically formulated as several indexes using correlation-based feature selection (CFS) and MI theory to explore the specific impact degrees under four different typical weather statuses named general weather classes (GWCs). Case studies for the proposed methods were conducted using actual measurement data of a 500 kW grid-connected solar PV plant in China. The results not only verified the knowledge about the main MIFs of PV module temperatures, more importantly, but also provide the specific ratio of quantitative impact degrees of these three MIFs respectively through CFS and MI based measures under four different GWCs.