The power loss reduction is one of the main targets for any electrical energy distribution company. In this paper the problem of the joint optimization of both topology and network parameters in a real Smart Grid is faced. A portion of the Italian electric distribution network managed by the ACEA Distribuzione S.p.A. located in Rome is considered. It includes about 1200 user loads, 70 km of Medium Voltage (MV) lines, 6 feeders, a Thyristor Voltage Regulator (TVR) and 6 distributed energy sources (5 generator sets and 1 photovoltaic plant). The power factor correction (PFC) is performed tuning the 5 generator sets and setting the state of the breakers in order to perform the distributed feeder reconfiguration (DFR). The joint PFC and DFR problem is faced by considering a suited objective function and by adopting a genetic algorithm. In this paper we present a heuristic method to compare the graphs of two admissible topologies, such that similar graphs are characterized by close active p
An ordering procedure for admissible network configurations to regularize DFR optimization problems in Smart Grids / Rizzi, Antonello; Possemato, Francesca; S., Caschera; Paschero, Maurizio; FRATTALE MASCIOLI, Fabio Massimo. - STAMPA. - (2014), pp. 273-280. (Intervento presentato al convegno International Conference on Evolutionary Computation Theory and Applications - ECTA 2014 tenutosi a Rome; Italy nel 22 - 24 October 2014).
An ordering procedure for admissible network configurations to regularize DFR optimization problems in Smart Grids
RIZZI, Antonello;POSSEMATO, FRANCESCA;PASCHERO, Maurizio;FRATTALE MASCIOLI, Fabio Massimo
2014
Abstract
The power loss reduction is one of the main targets for any electrical energy distribution company. In this paper the problem of the joint optimization of both topology and network parameters in a real Smart Grid is faced. A portion of the Italian electric distribution network managed by the ACEA Distribuzione S.p.A. located in Rome is considered. It includes about 1200 user loads, 70 km of Medium Voltage (MV) lines, 6 feeders, a Thyristor Voltage Regulator (TVR) and 6 distributed energy sources (5 generator sets and 1 photovoltaic plant). The power factor correction (PFC) is performed tuning the 5 generator sets and setting the state of the breakers in order to perform the distributed feeder reconfiguration (DFR). The joint PFC and DFR problem is faced by considering a suited objective function and by adopting a genetic algorithm. In this paper we present a heuristic method to compare the graphs of two admissible topologies, such that similar graphs are characterized by close active pI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
