Semi-Automated Tool for Location Identification to Improve the Solar PV Penetration in Sri Lanka

Author(s):  
Anushika Lakmini ◽  
L.P.M.A Liyanage ◽  
Sahras Hamsa ◽  
A.L.A.P.A Kumara ◽  
M.A.U.S Navaratne ◽  
...  
Electronics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 55
Author(s):  
Busra Uzum ◽  
Ahmet Onen ◽  
Hany M. Hasanien ◽  
S. M. Muyeen

In order to meet the electricity needs of domestic or commercial buildings, solar energy is more attractive than other renewable energy sources in terms of its simplicity of installation, less dependence on the field and its economy. It is possible to extract solar energy from photovoltaic (PV) including rooftop, ground-mounted, and building integrated PV systems. Interest in rooftop PV system applications has increased in recent years due to simple installation and not occupying an external area. However, the negative effects of increased PV penetration on the distribution system are troublesome. The power loss, reverse power flow (RPF), voltage fluctuations, voltage unbalance, are causing voltage quality problems in the power network. On the other hand, variations in system frequency, power factor, and harmonics are affecting the power quality. The excessive PV penetration also the root cause of voltage stability and has an adverse effect on protection system. The aim of this article is to extensively examines the impacts of rooftop PV on distribution network and evaluate possible solution methods in terms of the voltage quality, power quality, system protection and system stability. Moreover, it is to present a comparison of the advantages/disadvantages of the solution methods discussed, and an examination of the solution methods in which artificial intelligence, deep learning and machine learning based optimization and techniques are discussed with common methods.


Author(s):  
Samantha A. Janko ◽  
Brandon T. Gorman ◽  
Uday P. Singh ◽  
Nathan G. Johnson

Residential solar photovoltaic (PV) systems are becoming increasingly common around the world. Much of this growth is attributed to a decreasing cost of solar PV modules, reduction in the cost of installation and other “soft costs,” along with net-metering, financial incentives, and the growing societal interest in low-carbon energy. Yet this steep rise in distributed, uncontrolled solar PV capacity is being met with growing concern in maintaining electric grid stability when solar PV reaches higher penetration levels. Rapid reductions in solar PV output create an immediate and direct rise in the net system load. Demand response and storage technologies can offset these fluctuations in the net system load, but their potential has yet to be realized through wide-scale commercial dissemination. In the interim these fluctuations will continue to cause technical and economic challenges to the utility and the end-user. Late-afternoon peak demands are of particular concern as solar PV drops off and household demand rises as residents return home. Transient environmental factors such as clouding, rain, and dust storms pose additional uncertainties and challenges. This study analyzes such complex cases by simulating residential loads, rooftop solar PV output, and dust storm effects on solar PV output to examine transients in the net system load. The Phoenix, Arizona metropolitan area is used as a case study that experiences dust storms several times per year. A dust storm is simulated progressing over the Phoenix metro in various directions and intensities. Various solar PV penetration rates are also simulated to allow insight into resulting net loads as PV penetration grows in future years.


Author(s):  
Shalom Lim Zhu Aun ◽  
Marayati Bte Marsadek ◽  
Agileswari K. Ramasamy

This paper primarily focuses on the small signal stability analysis of a power system integrated with solar photovoltaics (PV). The test system used in this study is the IEEE 39-bus. The small signal stability of the test system are investigated in terms of eigenvalue analysis, damped frequency, damping ratio and participation factor. In this study, various conditions are analyzed which include the increase in solar PV penetration into the system and load variation. The results obtained indicate that there is no significant impact of solar PV penetration on the small signal stability of large scaled power system.


2020 ◽  
Vol 102 (2) ◽  
pp. 881-890 ◽  
Author(s):  
Thamer Alquthami ◽  
R. Sreerama Kumar ◽  
Abdullah Al Shaikh

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