In this paper we face the problem of the joint optimization of both topology and network parameters in order to minimize the total active power losses in a real Smart Grid. It is considered a portion of the Italian electric distribution network managed by the ACEA Distribuzione S.p.A. located in Rome which presents back-flows of active power for 20% of the annual operative time. It includes about 1200 user loads, 70 km of MV lines, 6 feeders, a thyristor voltage regulator (TVR) and 6 distributed energy sources (5 generator sets and 1 photovoltaic plant). Network topology can be changed by 106 breakers. The grid has been accurately modelled and simulated in the phasor domain by Matlab/Simulink, relying on the SimPowerSystems ToolBox, following a Multi-Level Hierarchical and Modular approach. Network optimization is faced by defining and solving a suited multi-objective optimization problem, considering suited constraints on nominal operative ranges on voltages and currents, as well as o

Optimal distribution feeders configuration for active power losses minimization by genetic algorithms / Storti, Gianluca; Possemato, Francesca; Paschero, Maurizio; Rizzi, Antonello; FRATTALE MASCIOLI, Fabio Massimo. - (2013), pp. 407-412. (Intervento presentato al convegno 9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 tenutosi a Edmonton; Canada nel 24 June 2013 through 28 June 2013) [10.1109/ifsa-nafips.2013.6608435].

Optimal distribution feeders configuration for active power losses minimization by genetic algorithms

STORTI, GIANLUCA;POSSEMATO, FRANCESCA;PASCHERO, Maurizio;RIZZI, Antonello;FRATTALE MASCIOLI, Fabio Massimo
2013

Abstract

In this paper we face the problem of the joint optimization of both topology and network parameters in order to minimize the total active power losses in a real Smart Grid. It is considered a portion of the Italian electric distribution network managed by the ACEA Distribuzione S.p.A. located in Rome which presents back-flows of active power for 20% of the annual operative time. It includes about 1200 user loads, 70 km of MV lines, 6 feeders, a thyristor voltage regulator (TVR) and 6 distributed energy sources (5 generator sets and 1 photovoltaic plant). Network topology can be changed by 106 breakers. The grid has been accurately modelled and simulated in the phasor domain by Matlab/Simulink, relying on the SimPowerSystems ToolBox, following a Multi-Level Hierarchical and Modular approach. Network optimization is faced by defining and solving a suited multi-objective optimization problem, considering suited constraints on nominal operative ranges on voltages and currents, as well as o
2013
9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
genetic algorithms; network topology optimization; smart grids
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Optimal distribution feeders configuration for active power losses minimization by genetic algorithms / Storti, Gianluca; Possemato, Francesca; Paschero, Maurizio; Rizzi, Antonello; FRATTALE MASCIOLI, Fabio Massimo. - (2013), pp. 407-412. (Intervento presentato al convegno 9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 tenutosi a Edmonton; Canada nel 24 June 2013 through 28 June 2013) [10.1109/ifsa-nafips.2013.6608435].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/525788
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