Salvatore Favuzza

Prof. Salvatore Favuzza

Università degli studi di Palermo
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2018 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Closed access
MSMaria Luisa Di Silvestre
Maria Luisa Di Silvestre
SFSalvatore Favuzza
Salvatore Favuzza
Eleonora Riva SanseverinoEleonora Riva Sanseverino
Eleonora Riva Sanseverino
GAETANO ZIZZOGAETANO ZIZZO
GAETANO ZIZZO

1 March 2012 in Energy
Verified
Journal Article
Closed access
VCValentina Cosentino
Valentina Cosentino
SFSalvatore Favuzza
Salvatore Favuzza
GGGiorgio Graditi
Giorgio Graditi
MIMariano Giuseppe Ippolito
Mariano Giuseppe Ippolito
FMFabio Massaro
Fabio Massaro
GAETANO ZIZZOGAETANO ZIZZO
GAETANO ZIZZO

26 June 2006 in IEEE Transactions on Power Delivery
Verified
Journal Article
Closed access
MAM. Aiello
M. Aiello
ACAntonio Cataliotti
Antonio Cataliotti
SFSalvatore Favuzza
Salvatore Favuzza
GGG. Graditi
G. Graditi
Grid-connected photovoltaic systems are increasingly used in electrical distribution systems. However, they inject distorted currents. Therefore, special attention must be paid to harmonic and interharmonic measurements. The new edition of IEC 61000-4-7 introduces the concept of harmonic and interharmonic groups, which implies new expressions for total harmonic distortion (THD) factors. In this paper, a theoretical and experimental comparison is made between the different THD factors in order to show which of the currently defined distortion factors is best suited to detect harmonic and interharmonic pollution. Experimental tests were carried out first by means of a calibrator and subsequently in a single-phase grid-connected photovoltaic system. In both cases, measurements were carried out with a PC-based instrument developed by the authors and able to calculate the distortion factors according to IEC 61000-4-7.

1 May 2010 in International Journal of Electrical Power & Energy Systems
Verified
Journal Article
Closed access
AAA. Augugliaro
A. Augugliaro
LDL. Dusonchet
L. Dusonchet
SFSalvatore Favuzza
Salvatore Favuzza
MIM.G. Ippolito
M.G. Ippolito
ESE. Riva Sanseverino
E. Riva Sanseverino

30 April 2007 in IEEE Transactions on Power Systems
Verified
Journal Article
Closed access
SFSalvatore Favuzza
Salvatore Favuzza
GGGiorgio Graditi
Giorgio Graditi
MIMariano Giuseppe Ippolito
Mariano Giuseppe Ippolito
ESEleonora Riva Sanseverino
Eleonora Riva Sanseverino
Distribution systems management is becoming an increasingly complicated issue due to the introduction of new energy trading strategies and new technologies. In this paper, an optimal reinforcement strategy to provide reliable and economic service to customers in a given time frame is investigated. In the new deregulated energy market and considering the incentives coming from the political and economical fields, it is reasonable to consider distributed generation (DG) as a viable option for systems reinforcement. In the paper, the DG technology is considered as a possible solution for distribution systems capacity problems, along several years. Therefore, compound solutions comprising the installation of both feeders and substations reinforcement and DG integration at different times are considered in the formulation of a minimum cost distribution systems reinforcement strategy problem. An application on a medium size network, hypothesizing a scenario of reinforcement also using as DG gas micro-turbines, is carried out using a novel optimization technique allowing the identification of optimal paths in trees or graphs. The proposed technique is the Dynamic Ant Colony Search algorithm

12 December 2019 in Applied Sciences
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Journal Article
Open access
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Jaser SaedJaser Saed
Jaser Saed
MAMohammad Amer
Mohammad Amer
ABAhmed Bodair
Ahmed Bodair
ABAhmad Baransi
Ahmad Baransi
SFSalvatore Favuzza
Salvatore Favuzza
GAETANO ZIZZOGAETANO ZIZZO
GAETANO ZIZZO
DG-integrated distribution system planning is an imperative issue since the installing of distributed generations (DGs) has many effects on the network operation characteristics, which might cause significant impacts on the system performance. One of the most important characteristics that mostly varies because of the installation of DG units is the power losses. The parameters affecting the value of the power losses are number, location, capacity, and power factor of the DG units. In this paper, a new analytical approach is proposed for optimally installing DGs to minimize power loss in distribution networks. Different parameters of DG are considered and evaluated in order to achieve a high loss reduction in the electrical distribution networks. The algorithm of the proposed approach has been implemented using MATLAB software and has been tested and investigated on 12-bus, 33-bus, and 69-bus IEEE distribution test systems. The results show that the proposed approach can provide an accurate solution via simple algorithm without using exhaustive process of power flow computations.