Performance Results and Analysis of Large Scale PV System

So, Jung-Hun; Jung, Youngae; Yu, Byung; Hwang, Hye-Mi; Yu, Gwon-Jong; Choi, Ju-Yeop

doi:10.1109/wcpec.2006.279669

Cited by 14 publications

(6 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…So et al analyzed and evaluated the performance of a large scale grid connected PV system and monitoring system for better operation of such system [115]. Mahmoud and Ibrik demonstrated the reliability and flexibility of utilizing PV system by presenting test result of PV system for better operation [116].…”

Section: Design Improvements and Sizingmentioning

confidence: 99%

Solar energy for future world: - A review

Nadarajah

Vakeesan

2016

Renewable and Sustainable Energy Reviews

1,296

485

View full text Add to dashboard Cite

Section: Design Improvements and Sizingmentioning

confidence: 99%

Solar energy for future world: - A review

Nadarajah

Vakeesan

2016

Renewable and Sustainable Energy Reviews

1,296

485

View full text Add to dashboard Cite

“…The equipment is capable of real time signal measuring giving information about the performance of the PV power plant, as well as of the energy quality generated by it. Performance results and analysis of large scale photovoltaic system of 80 kW have been presented [9]. Authors evaluate and analyze performance of the PV system showing the effect of environment conditions on the operation characteristics.…”

Section: Introductionmentioning

confidence: 99%

PV-standalone monitoring system performance using LabVIEW

Ahmed¹,

Kassas²,

Ahmed³

2014

SGCE

View full text Add to dashboard Cite

This paper presents and discusses the performance evaluation, monitoring and analysis of a stand-alone Photovoltaic (PV) system. This experimental investigation achieves its objectives using Laboratory Virtual Instrument Engineering Workbench (LabVIEW) interface capabilities. The installed PV generator system operates in extreme and severe weather conditions. The local area is characterized by a high level of irradiation, high humidity variations, very high ambient temperature and frequent dust storms. Two PV panels of 150 W rating each are used. Each panel feeds a variable resistive load separately and simultaneously. The constructed LabVIEW engine displays environmental parameters and the associated electrical variables (voltage, current and power) on dedicated graph windows continuously in a real time manner. The current versus voltage (I-V) and power versus voltage (P-V) characteristics are taken for any chosen panel, displayed and stored accurately. LabVIEW allows appending any characteristics for the sake of comparison, investigation and research purposes. LabVIEW has shown high performance in communicating with several devices simultaneously and high capability of displaying several variables behavior at a time. The designed virtual instrument (VI) filters are programmed to execute different tasks on a priority basis. The developed system reveals and stores the pronounced impact of dust, the variation of temperature and the irradiation changes on the PV panel power output behavior. The monitoring results are very satisfactory. The online data display in multi-scale window frame is very informative. The online efficiency evaluation is very useful for system operation and analysis. The developed system was found to be very supportive for research and educational purposes.

show abstract

“…Photovoltaic (PV) generation is based on inverter‐based distributed generators (DGs), which will become more widespread in the future as a result of the anticipated cost reductions in PV technology. However, integrations of PV systems into power networks can have both benefits and drawbacks [1–3]. PV systems are generally interfaced to the distribution system through a pulse‐width‐modulated inverter, which is one of the main sources of harmonic currents.…”

Section: Introductionmentioning

confidence: 99%

Impacts of load models and power factor control on optimal sizing of photovoltaic distributed generators in a distribution system

Hengsritawat

Tayjasanant

2012

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

This paper studies the impact of optimal sizing of photovoltaic distributed generators (PV-DGs) on a distribution system using different static load models (i.e., constant power, constant current, and constant impedance) and various power factor (PF) operations. A probabilistic approach with Monte Carlo simulation is proposed to obtain the optimal size of PV-DG. Monte Carlo simulation is applied to predict the solar radiation, ambient temperatures, and load demands. The objective is to minimize average system real power losses, with the power quality constraints not exceeding the limits, i.e. voltage and total harmonic voltage distortion (THDv) at the point of common coupling (PCC). A modified Newton method and a classical harmonic flow method are employed to calculate the power flow and THDv values, respectively. An actual 51-bus, medium-voltage distribution system in Thailand is employed as a test case. Results demonstrate that the proposed method performs well to provide the optimal size of PV-DG based on technical constraints. Further, the results show that the three static load models do not affect the optimal PV-DG size but the model has a different impact for various PF operations. PV-DGs may improve the voltage regulation and decrease the losses in distribution systems practically, but the THDv values could increase.

show abstract

Performance Results and Analysis of Large Scale PV System

Cited by 14 publications

References 4 publications

Solar energy for future world: - A review

Solar energy for future world: - A review

PV-standalone monitoring system performance using LabVIEW

Impacts of load models and power factor control on optimal sizing of photovoltaic distributed generators in a distribution system

Contact Info

Product

Resources

About