Design and Analysis of a Low Reflecting Concentrating Photovoltaic System

2012 ◽  
Vol 517 ◽  
pp. 791-796
Author(s):  
Cheng Yao Wang ◽  
Yin Xu ◽  
Yao Ming Zhang ◽  
Yong Ming Hua
Keyword(s):  
Electric Power ◽  
Concentration Ratio ◽  
Tracking System ◽  
Weather Conditions ◽  
Mathematic Model ◽  
Photovoltaic System ◽  
Voltage Profile ◽  
Pv System ◽  
Tracking Errors ◽  
Flux Concentration

In this paper, a concentrating photovoltaic (CPV) system with low ratio was successfully developed. In the design of CPV concentrator, a quasi-parabolic reflector was adopted. With the research of basic optical mechanisms, a mathematic model was built with the corresponding program. In addition, the width of light spot was analyzed with considering the symmetry of tracking errors and glass deformation in manufacture to identify reasonable values. The system was designed with a reflector of 10 flat mirrors, which has a geometrical concentration ratio of 8.18 and a flux concentration ratio of 5. The concentrating photovoltaic system was investigated experimentally under the various weather conditions. The output voltage profile and the output power of the flat PV system and the CPV system were presented to analyze the concentration ratio and the electric power. And the influence of soiling was also discussed. The results showed that the performance of tracking system was good in a clear day. Compared to the flat cell with the same system, the electric power was nearly increased by 4-5 times.

scholarly journals A new meta-heuristic pathfinder algorithm for solving optimal allocation of solar photovoltaic system in multi-lateral distribution system for improving resilience

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Varaprasad Janamala
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Optimal Allocation ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Voltage Profile ◽  
Pv System ◽  
Solar Photovoltaic System ◽  
The Impact

AbstractA new meta-heuristic Pathfinder Algorithm (PFA) is adopted in this paper for optimal allocation and simultaneous integration of a solar photovoltaic system among multi-laterals, called interline-photovoltaic (I-PV) system. At first, the performance of PFA is evaluated by solving the optimal allocation of distribution generation problem in IEEE 33- and 69-bus systems for loss minimization. The obtained results show that the performance of proposed PFA is superior to PSO, TLBO, CSA, and GOA and other approaches cited in literature. The comparison of different performance measures of 50 independent trail runs predominantly shows the effectiveness of PFA and its efficiency for global optima. Subsequently, PFA is implemented for determining the optimal I-PV configuration considering the resilience without compromising the various operational and radiality constraints. Different case studies are simulated and the impact of the I-PV system is analyzed in terms of voltage profile and voltage stability. The proposed optimal I-PV configuration resulted in loss reduction of 77.87% and 98.33% in IEEE 33- and 69-bus systems, respectively. Further, the reduced average voltage deviation index and increased voltage stability index result in an improved voltage profile and enhanced voltage stability margin in radial distribution systems and its suitability for practical applications.

The Investigation of Coupling-Unwanted Signal to the Solar Panel Material due to Induced Overvoltage Created by Short Spark Gap

2014 ◽  
Vol 699 ◽  
pp. 492-497
Author(s):  
Nur Hidayu Abdul Rahim ◽  
Zikri Abadi Baharudin ◽  
Md Nazri Othman
Keyword(s):  
Renewable Energy Sources ◽  
Lightning Discharge ◽  
Solar Panel ◽  
Photovoltaic System ◽  
Voltage Profile ◽  
Induced Voltage ◽  
Pv System ◽  
Peak Voltage ◽  
Spark Gap ◽  
Maximum Voltage

Photovoltaics (PV) system converts light into electric current using the photo-electric effect. Due to the growing demand for renewable energy sources, the manufacturing of solar cells and PV system arrays has advanced considerably in recent years. However, lightning protection on photovoltaic material is very crucial to avoid strike damage caused by transient overvoltage to the photovoltaic system that may due to a direct or an indirect strike. There is no experimental study recently to show the profile of unwanted signals due to induced overvoltage that is coupled to the solar panel system or related material. It is consequently imperative that experimental work to investigate the unwanted signal that is coupled to the solar panel material be conducted. In this study, the experimental set up of induced overvoltage was conducted in which the unwanted signal due to induced voltage was created by the short spark gap. The experiment was conducted in a High Voltage lab in University Teknikal Malaysia Melaka (UTeM) using artificial lightning discharge of 1.2/50μs with the peak voltage of 33 kV. The distance between the solar panel and spark gap was varied in order to study the relationship between the maximum voltage of unwanted signal and the distance. The existence of unwanted signal due to induced voltage with of maximum voltage profile was observed and is discussed in detail in the result and discussion sections.

scholarly journals A Cuckoo MPPT based SMC Control for Grid tied PV System

2020 ◽  
pp. 22-26
Author(s):  
G Vaddikasulu , Meneni Saigeetha
Keyword(s):  
Output Power ◽  
Weather Conditions ◽  
Atmospheric Temperature ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Solar Irradiation ◽  
Pv System ◽  
Pv Array ◽  
Cloudy Weather ◽  
Pv Cell

Maximum power point techniques (MPPT) are used in photovoltaic system to make full utilization of PV array output power. The output power of PV array is always changing with weather conditions i.e., solar irradiation and atmospheric temperature. PV cell generates power by converting sunlight into electricity. The electric power generated is proportional to solar radiation. PV cell can generate around 0.5 to 0.8 volts. During cloudy weather due to varying insolation levels the output of PV array varies. The MPPT is a process which tracks the maximum power from array and by increasing the duty cycle of the DC-DC boost converter, the output voltage of the system is increased. This paper presents the cuckoo mppt technique for PV system along with SMC controller methods in grid connected photovoltaic (PV) systems for optimizing the solar energy efficiency

scholarly journals Simple Moving Voltage Average Incremental Conductance MPPT Technique with Direct Control Method under Nonuniform Solar Irradiance Conditions

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Amjad Ali ◽  
Wuhua Li ◽  
Xiangning He
Keyword(s):  
Steady State ◽  
Control Method ◽  
Tracking System ◽  
Weather Conditions ◽  
Solar Irradiation ◽  
Direct Control ◽  
Pv System ◽  
Incremental Conductance ◽  
Conductance Method ◽  
Bus Voltage

A new simple moving voltage average (SMVA) technique with fixed step direct control incremental conductance method is introduced to reduce solar photovoltaic voltage (VPV) oscillation under nonuniform solar irradiation conditions. To evaluate and validate the performance of the proposed SMVA method in comparison with the conventional fixed step direct control incremental conductance method under extreme conditions, different scenarios were simulated. Simulation results show that in most cases SMVA gives better results with more stability as compared to traditional fixed step direct control INC with faster tracking system along with reduction in sustained oscillations and possesses fast steady state response and robustness. The steady state oscillations are almost eliminated because of extremely smalldP/dVaround maximum power (MP), which verify that the proposed method is suitable for standalone PV system under extreme weather conditions not only in terms of bus voltage stability but also in overall system efficiency.

scholarly journals An Efficient Intelligent Power Detection Method for Photovoltaic System

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Detection Method ◽  
Peak Load ◽  
Weather Conditions ◽  
Photovoltaic System ◽  
Weather Data ◽  
Weather Factors ◽  
Pv System ◽  
Intelligent Technique ◽  
Highly Nonlinear ◽  
Validation Set

Jordan has experienced a significant increase in both peak load and annual electricity demand within the last decade due to the growth of the economy and population. Photovoltaic (PV) system is one of the most popular renewable energy source in Jordan. PV system is highly nonlinear with unpredictable behavior since it is always subject to many external factors such as severe weather conditions, irradiance level, sheds, temperature, etc. This makes it difficult to maintain maximum power production around its operation ranges. In this paper, an intelligent technique is used to predict and identify the working ability of the PV system under different weather factors in Tafila Technical University (TTU) in Jordan. It helps in optimizing power productions for different operation points. The PV system in Tafila with size 1 MWp PV generated 5.4 GWh since 2017. It saves about € 1.5 million in three years. A real power data from the PV system and a weather data from world weather online site of TTU location are used in this study. Decision tree technique is employed to identify the relation between the output power and weather factors. The results show that the system accuracy is 82.01% during the training phase and 93.425 % on the validation set.

scholarly journals MPPT for Photovoltaic System Using Nonlinear Controller

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Ramsha Iftikhar ◽  
Iftikhar Ahmad ◽  
Muhammad Arsalan ◽  
Neelma Naz ◽  
Naghmash Ali ◽  
...  
Keyword(s):  
Environmental Conditions ◽  
Weather Conditions ◽  
Buck Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Nonlinear Controller ◽  
Pv System ◽  
Pv Array ◽  
Increasing Demand ◽  
Power Point

Photovoltaic (PV) system generates energy that varies with the variation in environmental conditions such as temperature and solar radiation. To cope up with the ever increasing demand of energy, the PV system must operate at maximum power point (MPP), which changes with load as well as weather conditions. This paper proposes a nonlinear backstepping controller to harvest maximum power from a PV array using DC-DC buck converter. A regression plane is formulated after collecting the data of the PV array from its characteristic curves to provide the reference voltage to track MPP. Asymptotic stability of the system is proved using Lyapunov stability criteria. The simulation results validate the rapid tracking and efficient performance of the controller. For further validation of the results, it also provides a comparison of the proposed controller with conventional perturb and observe (P&O) and fuzzy logic-based controller (FLBC) under abrupt changes in environmental conditions.

An Experimental Performance Evaluation of a Cold-Region Photovoltaic System With Tracking

2017 ◽  
Vol 139 (3) ◽  
Author(s):  
Wongyu Choi ◽  
Michael B. Pate ◽  
Ryan D. Warren ◽  
Ron M. Nelson
Keyword(s):  
Conversion Efficiency ◽  
Tracking System ◽  
Electrical Energy ◽  
Photovoltaic System ◽  
Performance Ratio ◽  
Cold Region ◽  
Pv System ◽  
Annual Average ◽  
And Performance ◽  
Conversion Efficiencies

A grid-connected dual-axis tracking photovoltaic (PV) system was installed in the Upper Midwest of the U.S., defined as a cold region, and then evaluated and monitored for a 1 year period. This system serves as a real-world application of PV for electricity generation in a region long overlooked for PV research studies. Additionally, the system provides an opportunity for research, demonstration, and education of dual-axis tracking PV, again not commonly studied in cold regions. In this regard, experimental data for the system were collected and analyzed over a 1year period. During the year of operation, the PV system collected a total of 2173 kWh/m2, which equates to 5.95 kWh/m2 on average per day, of solar insolation and generated a total of 1815 kWh, which equates to an energy to rated power ratio of 1779 kWh/kWp of usable AC electrical energy. The system operated at an annual average conversion efficiency and performance ratio of 11% and 0.82%, respectively, while the annual-average conversion efficiency of the inverter was 92%. The tracking system performance is also compared to a stationary PV system, which is located in close proximity to the tracking PV system. The tracking system's conversion efficiency was 0.3% higher than the stationary system while the energy generation per capacity was 40% higher although the PV module conversion efficiencies were not significantly different for the two systems.

Optical Analysis of a Novel Linked Heliostat Tracking System for Distributed-Scale Concentrated Solar Power

2012 ◽  
Author(s):  
Marc Dunham ◽  
Rajan Kasetty ◽  
Anoop Mathur ◽  
Wojciech Lipiński
Keyword(s):  
Concentration Ratio ◽  
Solar Power ◽  
Tracking System ◽  
Thermal Power ◽  
Solar Irradiation ◽  
Optical Efficiency ◽  
Daily Average ◽  
Flux Concentration ◽  
Solar Noon ◽  
Simulation Parameters

In this work, a novel concentrating solar power system consisting of a small heliostat field utilizing simplified two-axis tracking is proposed for distributed-scale solar thermal power generation. Monte Carlo ray tracing is used to characterize the optical performance of the system and to parametrically evaluate its design. Radiative flux distributions are obtained in the receiver plane for solar irradiation at an example location of Albuquerque, NM, and date of June 21. The system delivers an 8-hour daily average optical efficiency of 64.4%, flux concentration ratio of 122.8 suns, and daily average thermal power of 47.3 kWt for a receiver of 0.35 m radius. The peak optical efficiency at solar noon was found to be 97.9% with a concentration ratio of 201.3 and thermal power of 77.5 kWt for the base simulation parameters.

scholarly journals Comparative analysis of cascaded fuzzy-PI controllers based-MPPT and perturb and observe MPPT in a grid-connected PV system operating under different weather and loading conditions

2019 ◽  
Vol 10 (4) ◽  
pp. 1986
Author(s):  
Harici Otmane ◽  
Youssef Mouloudi ◽  
Bendjebbar Mokhtar
Keyword(s):  
Weather Conditions ◽  
Photovoltaic System ◽  
Pv System ◽  
Three Phase ◽  
Perturb And Observe ◽  
Pi Controllers ◽  
Irradiation Level ◽  
Fuzzy Pi Controller ◽  
Temperature Levels ◽  
Three Phase Inverter

<p>In this paper, a comparison is carried out between MPPT technique using a hybrid cascaded Fuzzy-PI Controller and Perturb and Observe (P&amp;O) MPPT technique. The two techniques are compared in a system which consists of a photovoltaic system connected to a grid via a two-level three-phase inverter. The P&amp;O and Fuzzy-PI techniques are examined under different weather conditions, namely, ramp change in irradiation level and ramp change in temperature levels. Disturbances represented by fluctuations in power demand from the utility grid is generated to assess the robustness of each of the two controllers. The Fuzzy-PI based MPPT, has  proved its excellent tracking and robustness against abrupt perturbations. Simulations of the system performances using the two regulators are performed to validate the conceptual standings.</p>

scholarly journals Cascaded Feed Forward Multilayer Neural Network based MPPT Controller for Improving the Performance of Photovoltaic System

2021 ◽  
Vol 12 (10) ◽  
Author(s):  
Mr. M Rupesh, Et. al.
Keyword(s):  
Energy Production ◽  
Sudden Change ◽  
Weather Conditions ◽  
Photovoltaic System ◽  
Pv System ◽  
Photovoltaic Generation ◽  
Intelligent Controller ◽  
Pv Cell ◽  
Mppt Controller ◽  
The Many

This paper deals with the energy production of photovoltaic (PV) cells in different weather conditions. Today, photovoltaic generation plays an important role in generating electricity and satisfies the demand of the island's consumers. The power generation of the PV cell was completely dependent upon sunlight and temperature, but sunlight and temperature changed forever in nature. The many researchers are working on different MPPT technologies for a PV system. Conventional MPPT controllers cannot withstand a sudden change of weather conditions. The main aim of this article is to compare the various conventional and intelligent controller such as the GA, Fuzzy, KGMO, and CNFF for MPPT of the PV system. The proposed intelligent controller was developed and simulated by the MATLAB environment for MPPT in the PV system. In addition, the above results are evaluated and compared. Based on performance, the optimal smart controller has been recommended as MPPT of the PV system

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