Modeling Of Photovoltaic System Research Articles

Orthogonal learning-based Gray Wolf Optimizer for identifying the uncertain parameters of various photovoltaic models

Defining the optimal parameters for the photovoltaic (PV) system model is essential for the design, evolution, development, estimation, and analysis of the PV power system. Therefore, it is crucial to properly identify the best parameters of the PV models based on modern computational techniques. As a result, this research proposes a new Orthogonal-Learning-Based Gray Wolf Optimizer (OLBGWO) for identifying uncertain parameters in PV cell models using a local exploratory approach. The orthogonal-learning-based (OLB) technique enhances the exploitation and exploration capabilities of the original Gray Wolf Optimizer (GWO) and modified vector parameter called a, which promotes a highly reliable balance between the exploitation and exploration phases of the algorithm. During the iterative procedure of OLBGWO, the OLB methodology is employed to obtain the optimal solution for the weaker populations and guides the population to examine the prospective search area. Additionally, in OLBGWO, an exponential decay function is used to reduce the value of vector a. The proposed approach is used to solve the PV system's parameter estimation problem. The presented OLBGWO algorithm estimates the uncertain parameters of the single-diode model (SDM), double-diode model (DDM), and PV module model. The OLBGWO's performance is compared to those of other competing algorithms to demonstrate its superiority. The simulation results demonstrate that the OLBGWO algorithm provides fast convergence speed while maintaining high solution accuracy.

Simulation modeling and experimental validation of solar photovoltaic PMBLDC motor water pumping system

Solar energy is abundantly available on the earth and can be utilized in various applications by converting it in a suitable form. Water supply in remote places and rural areas is still critical due to the unavailability of the grid power. In a developing country like India, the grid construction cost is 6670 $/km because of which some remote areas are still waiting for electricity. There is a large scope to meet this need with the help of a standalone solar water pumping system. In this context, this work presents detailed simulation in MATLAB/Simulink and experimental validation of photovoltaic (PV) permanent magnet brushless DC (PMBLDC) motor water pumping system without energy storing. Simulation is a tool to get system behavior at the various input parameters immedi ately reflects a change in the output parameter. The simulation results are validated with the help of field trials on the experimental setup. A 0.5 hp photovoltaic permanent magnet brushless DC (PMBLDC) motor water pumping system was used for extensive field trials experimentation. After extensive field trials, the optimum irradiation observed for full water discharge 19.9 L/min was 330 W/m2 where voltage and current were 35.1 V and 3.1 A respectively. The Water flow – Irradiation characteristic curve and percentage variation in simulation and experimental results showed a good agreement with each other. The efficiency of the photovoltaic panel and the entire solar water pumping system observed was 12.76 ± 0.64 % and 9.07±0.45 % respectively. The 0.5 hp PMBLDC motor water pumping system is sufficient to lift 10000 L water every day. PMBLDC motor, shown added advantage of lesser running maintenance due to the absence of carbon brushes which need frequent replacement in case of brushed DC motor.

Mathematical model and analysis of PV Converter - Inverter System

Photo Voltaic (PV) system is commonly preferred renewable energy source for most of the residential, commercial as well as for utility applications. Photo Voltaic systems are extensively used for standalone and grid tied applications. To utilize the PV generated power to the best possible extent, control and conversion of power in PV systems plays an important role. In this paper, mathematical model of the complete PV system that comprises of solar panel, DC-DC Boost converter and a H bridge inverter is developed. The developed model is validated for constant load condition at varying irradiation levels and at fixed duty cycle. The performance analysis of the PV system in terms of efficiency is carried out for 200W resistive load.

Location and solar system parameter extraction from power measurement time series

Photovoltaic (PV) systems are considered an important pillar in the energy transition because they are usually located near the consumers. In order to provide accurate PV system models, e.g. for microgrid simulation or hybrid-physical forecast models, it is of high importance to know the underlying PV system parameters, such as location, panel orientation and peak power. In most open PV generation databases, these parameters are missing or are inaccurate.In this paper, we present a framework based on particle swarm optimisation and the PVWatts model to estimate PV system parameters using only power feed-in measurements and satellite-based ERA5 climate reanalysis data. Our sensitivity analysis points out the most relevant PV system parameters, which are panel and inverter peak power, panel orientation, system location and a small but not negligible influence of ambient temperature and albedo. The detailed evaluation on one exemplary PV system shows an acceptable accuracy in panel azimuth and tilt for the use in microgrid PV system simulation. The extracted location has less than 25 km of positioning error in the best case, which is more than satisfying with respect to the underlying data resolution of the ERA5 dataset. Similar results are observed for 10 systems in Europe and the USA.

Reliability modeling and performance evaluation of solar photovoltaic system using Gumbel–Hougaard family copula

PurposeSolar photovoltaic (PV) is commonly used as a renewable energy source to provide electrical power to customers. This research establishes a method for testing the performance reliability of large grid-connected PV power systems. Solar PV can turn unrestricted amounts of sunlight into energy without releasing carbon dioxide or other contaminants into the atmosphere. Because of these advantages, large-scale solar PV generation has been increasingly incorporated into power grids to meet energy demand. The capability of the installation and the position of the PV are the most important considerations for a utility company when installing solar PV generation in their system. Because of the unpredictability of sunlight, the amount of solar penetration in a device is generally restricted by reliability constraints. PV power systems are made up of five PV modules, with three of them needing to be operational at the same time. In other words, three out of five. Then there is a charge controller and a battery bank with three batteries, two of which must be consecutively be in operation. i.e. two out of three. Inverter and two distributors, all of which were involved at the same time. i.e. two out of two. In order to evaluate real-world grid-connected PV networks, state enumeration is used. To measure the reliability of PV systems, a collection of reliability indices has been created. Furthermore, detailed sensitivity tests are carried out to examine the effect of various factors on the efficiency of PV power systems. Every module's test results on a realistic 10-kW PV system. To see how the model works in practice, many scenarios are considered. Tables and graphs are used to show the findings.Design/methodology/approachThe system of first-order differential equations is formulated and solved using Laplace transforms using regenerative point techniques. Several scenarios were examined to determine the impact of the model under consideration. The calculations were done with Maple 13 software.FindingsThe authors get availability, reliability, mean time to failure (MTTF), MTTF sensitivity and gain feature in this research. To measure the reliability of PV systems, a collection of reliability indices has been created. Furthermore, detailed sensitivity tests are carried out to examine the effect of various factors on the efficiency of PV power systems.Originality/valueThis is the authors' original copy of the paper. Because of the importance of the study, the references are well-cited. Nothing from any previously published articles or textbooks has been withdrawn.

Random reselection particle swarm optimization for optimal design of solar photovoltaic modules

Renewable energy is becoming more popular due to environmental concerns about the previous energy source. Accurate solar photovoltaic system model parameters substantially impact the efficiency of solar energy conversion to electricity. In this matter, swarm and evolutionary optimization algorithms have been widely utilized in dealing with practical problems due to their more straightforward concepts, efficacy, flexibility, and easy-to-implement procedural frameworks. However, the nonlinearity and complexity of the photovoltaic parameter identification caused swarm and evolutionary optimizers to exhibit Immaturity in the obtained solutions. To deal with such concerns on immature convergence and imbalanced searching trends, in this paper, we proposed the PSOCS algorithm based on the core components of particle swarm optimization (PSO) and the strategy of random reselection of parasitic nests that appeared in the cuckoo search. The parameters of the single-diode model and the double-diode model are identified based on several experiments. Based on the comprehensive comparisons, results indicate that the developed PSOCS algorithm has higher convergence accuracy and better stability than the original PSO, the original cuckoo search, and other studied algorithms. The findings indicate that we suggest the PSOCS algorithm as an enhanced and efficient approach for dealing with parameter extraction of solar photovoltaic modules. We think this new variant of PSO can be employed as a tool for the optimal designing of photovoltaic systems.

Gorilla Troops Optimizer for Electrically Based Single and Double-Diode Models of Solar Photovoltaic Systems

The extraction of parameters of solar photovoltaic generating systems is a difficult problem because of the complex nonlinear variables of current-voltage and power-voltage. In this article, a new implementation of the Gorilla Troops Optimization (GTO) technique for parameter extraction of several PV models is created. GTO is inspired by gorilla group activities in which numerous strategies are imitated, including migration to an unknown area, moving to other gorillas, migration in the direction of a defined site, following the silverback, and competition for adult females. With numerical analyses of the Kyocera KC200GT PV and STM6-40/36 PV modules for the Single Diode (SD) and Double-Diode (DD), the validity of GTO is illustrated. Furthermore, the developed GTO is compared with the outcomes of recent algorithms in 2020, which are Forensic-Based Investigation Optimizer, Equilibrium Optimizer, Jellyfish Search Optimizer, HEAP Optimizer, Marine Predator Algorithm, and an upgraded MPA. GTO’s efficacy and superiority are expressed by calculating the standard deviations of the fitness values, which indicates that the SD and DD models are smaller than 1E−16, and 1E−6, respectively. In addition, validation of GTO for the KC200GT module is demonstrated with diverse irradiations and temperatures where great closeness between the emulated and experimental P-V and I-V curves is achieved under various operating conditions (temperatures and irradiations).

A novel method for parameter identification combining analytical method and optimization algorithm

Single-diode model is widely used in photovoltaic system modelling and output estimation because of its simplicity and accuracy. This paper proposed a novel method for parameter identification and performance estimation by using measured data. The proposed method combines the analytical method and optimization algorithm to extract the model parameters and considers the deviations of different operating conditions between the measured and estimated data in calculation procedure, which reduces the dimensions of the search space and save computational cost for parameter optimization. The accuracy and effectiveness of the proposed method are validated by large number of experimental data under wide range environmental conditions.

Optimal Design and Performance Analysis of a Grid Connected Photovoltaic System in Togo

In Togo, the production of electrical energy is mainly hydroelectric and thermal, but the needs remain far greater than the resources; in particular in the city of Lome, the inhabitants of the city try to fill this energy deficit, among others, by solar systems. Once installed, and in the presence of the sun, solar panels operate continuously until the end of their service, regardless of whether the use is effective or not; which therefore causes losses in the event of overproduction and non-storage. To overcome this problem, we have studied in this article a PV installation (a solar power plant) which is connected to the electrical network, which represents a significant saving in investment and in operation. Thus, in our study, we designed and optimized our PV-Grid model which shows a photovoltaic system connected to the electricity grid through DC / DC boosting power converters and a DC / AC inverter. In this model, we have fixed the meteorological conditions relating to Togo, such as incident solar illumination and temperature, thus making it possible to fix the reference variables Ipvref (photovoltaic current produced) on the DC / DC side and Irmref (final current injected into the network) on the DC / AC side. Thanks to the results obtained, we can recommend this model of photovoltaic system connected to the grid under Togo's conditions and at the same time develop an energy policy and an integration of renewable electricity in Togo strong enough to trigger long-term sustainable development.

Integrated modeling and feasibility analysis of a rooftop photovoltaic systems for an academic building in Bangladesh

Abstract This paper presents integrated modeling and feasibility analysis of a rooftop photovoltaic system (RPS) for an academic building in Bangladesh. The average daily load is 353.63 kWh/day, and the peak load demand for the studied region is 90.85 kW. Four different configurations of 46 kW, 64 kW, 91 kW and 238 kW photovoltaic (PV) systems are designed and compared based on the financial, sensitivity and environmental benefit analysis to find out the most optimized one. The total net present cost, cost of energy, internal rate of return and payback period for the 91 kW (most optimized) system are found to be $146 317, $0.0385, 120.3% and 8.3 years, respectively. Seven sensitivity variables are utilized to investigate the system’s performance due to the variation of input variables, ensuring that the optimized system is less vulnerable than others. Besides, the proposed RPS (91 kW) for the selected region reduces the CO2 emanation by 90 010 kg/year and has a negligible shading effect compared to the amount of electricity generation from it.

Reduced-Order Analytical Models of Grid-Connected Solar Photovoltaic Systems for Low-Frequency Oscillation Analysis

Low-frequency oscillations have been observed in a real-world solar photovoltaic (PV) farm. The goal of this research is to build a simplified analytical model in the synchronous frame for large-signal simulation and small-signal analysis. The latter, e.g., eigenvalue analysis and participation factor analysis, can reveal influencing factors of the oscillations. Two simplified analytical models are proposed, ignoring PV dc-side dynamics (e.g., dc/dc boost converter control and maximum power point tracking), while preserving the grid-side converter (GSC) controls and electromagnetic dynamics of the grid interconnection. The first model assumes the input power from PV's dc side known and constant. The second model assumes that PV's dc side is represented by a constant dc voltage behind an impedance. The simplified models are compared with an electromagnetic transient (EMT) testbed with full details on time-domain simulation results, admittance frequency-domain responses, and eigenvalue-based stability analysis results. The second simplified model is found as capable of accurately predicting oscillation stability.

Research on Reliability of Grid Connected Photovoltaic Renewable Generation System

Renewable energy sources are increasingly being implemented in power systems to curb global warming and improve generation adequacy. These renewable sources include Hydro, wind, tidal, and solar power systems. Since Pakistan experiences decent solar irradiation throughout the year, the most viable renewable energy option is photovoltaic generation. Before solar systems are implemented, the proposed design is first simulated using design software such as MATLAB-Simulink to correct and adjust parameters to attain the DC voltage and current through the irradiation and environment temperature. Reliability studies and analysis are performed on the simulated systems to ascertain the success and long life before the system components’ failure. In this thesis, the grid-connected PV system’s reliability model established based on the reliability block diagram method using the MIL-HDBK-217F handbook. The handbook provides the methodology of calculating failure rates of specific physical electronics operations. The mean time to failure (MTTF) and Mean time to repair (MTTR) of the system is calculated from the overall system reliability. Photovoltaic power output varies greatly, and it is dependent on solar irradiation and temperature, resulting in intermittent and variable energy production. All of these considerations have a significant effect on the entire system adequacy of the power generation system. This study uses a probabilistic analytical methodology to develop comprehensive reliability models of grid-connected Photovoltaic generation systems.

Viability of the store-on Grid Scheme model for grid-tied rooftop solar photovoltaic systems in Sub-Saharan African countries

The viability of the store-on grid (SoG) scheme model across 13 selected Sub-Saharan African (SSA) countries was investigated. The individual country's datasets applicable to the SoG scheme and a typical industrial building as a baseline prosumer were used in the evaluation. Two SoG scheme scenarios (A and B) based on solar photovoltaic (PV) module prices were used in this analysis. The electricity tariffs under the SoG scheme were compared with the time of use rates for the selected SSA countries. The analysis results revealed that the scheme could be viable in only nine and four out of 13 countries under scenario A and scenario B, respectively, with high lending interest rate in some countries being the key hindrance. Under the SoG scheme model, solar PV systems in all the selected countries could feed about 15.65–39.25% of the generated energy to the grid. The government tax in the range of 1.95–3.38 and 2.48–4.31 c$/kWh could be collected from the energy fed to the grid under SoG scheme scenario A and scenario B, respectively. Overall, the SoG scheme exhibits greater potential as an energy business model to foster rooftop solar PV technology adoption in developing countries.

Conventional and advanced PV array configurations to extract maximum power under partial shading conditions: A review

Occurrence of partial shading and its high impact on the performance of photovoltaic (PV) system have received considerable attention during the last few years. It has forced the researchers to explore more novel PV array configurations to sustain under partial shading conditions (PSCs). To diminish the effects of PSCs, this paper presents an overview of the state-of-the-art developments of various PV array configuration models for PV systems. Different modelling approaches are analyzed while emphasizing their benefits and inadequacies. Different models available in the recent state-of-the-art literatures are studied and categorized according to vital configurations and features. Mainly, various PV array configurations such as advanced, futuristic configurations are also compared with the existing configurations. In this paper, recent research developments (that deserve further examination) are acknowledged and deliberated for the future researchers working in this domain.

Mathematical Modelling and Characteristic Analysis of Solar Photovoltaic System under Partial Shaded Condition

Mathematical Modelling and Characteristic Analysis of Solar Photovoltaic System under Partial Shaded Condition

Modeling, Analysis and Optimization of Grid-Integrated and Islanded Solar PV Systems for the Ethiopian Residential Sector: Considering an Emerging Utility Tariff Plan for 2021 and Beyond

Currently, difficulties such as the depletion of fossil fuel resources and the associated environmental pollution have driven the rise of other energy systems based on green energy sources. In this research, modeling and a viability study of grid-connected and islanded photovoltaic (PV) power systems for supplying the residential load in Mekelle City, Ethiopia, were carried out considering the country’s emerging utility tariff plan for 2021 and beyond. The technical viability of the proposed supply option was analyzed using PVGIS, PVWatts and HOMER Pro tool, while the economic and environmental optimization aspects were carried out using HOMER Pro. Sensitivity analyses and output comparisons among the three renewable energy simulation tools are presented. The results showed that under the consideration of an incremental electricity tariff plan (up to 2021), the analyzed cost of energy of the grid/PV system is around 12% lower than the utility grid tariff. Moreover, we also found that by taking the continuous global solar PV cost reduction into account, the cost of energy of the modeled islanded operation of solar PV power units totally broke the grid tariff in Ethiopia after 2029 based on the tariff for 2021 and well before with the expected escalation of the grid tariff on an annual basis. The technical performance of the system realized through PVGIS and PVWatts was almost comparable to the HOMER Pro outputs. Thus, this investigation will offer a clear direction to the concerned target groups and policy developers in the evolution of PV power supply options throughout the technically viable locations in the country.

Design of BOOST converter based on CN3306 chip

CN3306 is a current mode fixed frequency PWM boost type multiple battery charging management integrated circuit. This article introduces the basic principles and characteristics of CN3306, and designs a boost circuit based on the characteristics of CN3306 chip with stable voltage, small ripple range and low power consumption. Explained in detail how to select peripheral circuit parameters and the practical application of CN3306 in BOOST circuit, and use the PSIM simulation software to build a photovoltaic power generation system model for simulation verification, the result reached the expected value.

Model and stability analysis of grid-connected PV system considering the variation of solar irradiance and cell temperature

In recent years, solar photovoltaic (PV) power technology has been applied widely. The interaction between the PV generator and the grid, however, may cause the stability issue and oscillation in practical applications. Hence it is very important to analyze the stability of grid-connected PV system. Due to the fluctuation of solar irradiance, the operating characteristics of the grid-connected system alter, and the grid-connected system shows different stability at the altered operating points. Therefore, it is vital to analyze the grid-connected PV system stability at all operating points in the entire operation range. The impedance-based analysis method is a useful tool for stability analysis of the system. However, since the operating point of the system often alters continuously, it is difficult to use conventional impedance/admittance model to characterize the system performance. To overcome this drawback, this paper attempts to incorporate the solar irradiance into the conventional PV generator admittance model and develops a multivariable small signal admittance model for PV generator. Moreover, the PV cell temperature influence is also considered in the model. Further, a new analysis method is proposed to enable the stability analysis. Simulation and experiment were conducted to demonstrate the effectiveness of the model and the stability analysis method.

A Computational Approach to Solve a System of Transcendental Equations with Multi-Functions and Multi-Variables

A system of transcendental equations (SoTE) is a set of simultaneous equations containing at least a transcendental function. Solutions involving transcendental equations are often problematic, particularly in the form of a system of equations. This challenge has limited the number of equations, with inter-related multi-functions and multi-variables, often included in the mathematical modelling of physical systems during problem formulation. Here, we presented detailed steps for using a code-based modelling approach for solving SoTEs that may be encountered in science and engineering problems. A SoTE comprising six functions, including Sine-Gordon wave functions, was used to illustrate the steps. Parametric studies were performed to visualize how a change in the variables affected the superposition of the waves as the independent variable varies from x1 = 1:0.0005:100 to x1 = 1:5:100. The application of the proposed approach in modelling and simulation of photovoltaic and thermophotovoltaic systems were also highlighted. Overall, solutions to SoTEs present new opportunities for including more functions and variables in numerical models of systems, which will ultimately lead to a more robust representation of physical systems.

Mathematical Modeling and Controller for PV System by Using MPPT Algorithm

In this research, the study theory of system includes the use of an important source of renewable energy sources (solar source) and linking this system with an electrical load. The world is witnessing a significant rise in fossil fuel prices since the ending of the 20th century and now, this rise in price increases with the decrease in inventory day after day. Therefore, it turned that the field of attention to researchers of power generation to expand in non-conventional energy sources (new and renewable energy sources).New and renewable energy is inexhaustible in use because they rely on renewable natural resources. The mathematical model is an important part of the detailed study for PV systems. As well as study models for photovoltaic systems via the MATLAB/Simulink, this programming environment contains many models for renewable systems intended to perform simulation and analysis.Solar cells system needs to apply the MPPT algorithm due to the instability of external circumstances such as solar radiation and temperature.At a constant temperature of 25 °C, as the radiation level increases, the current and voltage of the module increase, this leads to an increase in output power. At a constant radiation level of 100 W/m2, as the module temperature increases, the current increases and the voltage decreases, this causes the output power to decrease. The maximum power is reached at 17 V and 3.5 A by the MPPT method. The Perturb and Observe algorithm is used to achieve maximum power.