The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of ENERGY and ENVIRONMENT
Transactions ID Number: 20-585
Full Name: Francesco Muzi
Position: Professor
Age: ON
Sex: Male
Address: Department of Electrical and Information Engineering, University of L'Aquila
Country: ITALY
Tel: +39-0862434425
Tel prefix:
Fax: +39-0862434403
E-mail address: francesco.muzi@univaq.it
Other E-mails:
Title of the Paper: A new algorithm for smart grid protection based on synchronized sampling
Authors as they appear in the Paper: Francesco Muzi, Antonio De Sanctis; Pasquale Palumbo
Email addresses of all the authors: francesco.muzi@univaq.it, pasquale.palumbo@iasi.cnr.it
Number of paper pages: 8
Abstract: Conventional distribution systems are usually radially operated, supplied at one end through a main source. The presence of a massive Distributed Generation (DG) from renewable sources radically changes the radial operation of these systems. Indeed, from passive the network becomes active, and bidirectional power flows can appear in the distribution system, which causes a number of problems related both to normal and fault conditions. In this paper, a new protection procedure is proposed, based on distance protection concepts and synchronization of the voltage and current samples coming from the two terminals of the faulted MV line segment. The fault identification algorithm suitably exploits the model equations of the lumped parameter circuit by applying the Recursive Least Square approach. A thorough set of simulations are carried out in order to validate the proposed algorithm, which is able to estimate the fault distance with good performances and great speed, !
even in case of high distortion of the acquired voltage and current waveforms. Moreover, the algorithm provides a very good estimate of the fault resistance, which means it works correctly also whenever high fault resistances appear in the distribution systems herein examined.
Keywords: Distance protection, Parameter estimate, Recursive least square method, Renewable sources, Smart grid protection, Synchronized sampling,
EXTENSION of the file: .pdf
Special (Invited) Session: Distance protection for smart grids with massive generation from renewable sources
Organizer of the Session: 650-526
How Did you learn about congress: Mariano G. Ippolito - Email: ippolito@dieet.unipa.it; Costanzo Manes - Email: costanzo.manes@univaq.it
IP ADDRESS: 192.150.195.22
