E. Riva Sanseverino
Research Subjects
E. Riva Sanseverino has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
A. Augugliaro
1 shared publication- A. Augugliaro
Dipartimento di Ingegneria Elettrica, Elettronica e delle Telecomunicazioni, Università di Palermo, PALERMO, ITALIA,
1 shared publication L. Dusonchet
1 shared publication- L. Dusonchet
Dipartimento di Ingegneria Elettrica, Elettronica e delle Telecomunicazioni Università di Palermo, Viale delle Scienze, 90128 Palermo (Italy) - Tel. +390916615221; Fax +39091488452
1 shared publication
Latest Publications
- 9 July 1999
- Published by Wiley in European Transactions on Electrical Power
- Vol. 9 (4) , 217-225
Voltage drop and power losses fast evaluation through equivalent models of feeders for optimal operation of automated distribution networks
- 9 July 1999
- Published by Wiley in European Transactions on Electrical Power
- Vol. 9 (4) , 217-225
Voltage drop and power losses fast evaluation through equivalent models of feeders for optimal operation of automated distribution networks
- 1 January 1999
- Published by Wiley in European Transactions on Electrical Power
- Vol. 9 (1) , 35-41
Genetic, simulated annealing and tabu search algorithms: Three heuristic methods for optimal reconfiguration and compensation of distribution networks
In this paper three heuristic methods for radial distribution networks reconfiguration and capacitor control are presented. A Simulated Annealing algorithm (SA), a Genetic Algorithm (GA) and a Tabu Search algorithm (TS) with some adaptations have been applied and compared. Basic GA, SA and TS procedures, with particular reference to the combinatorial optimization problems, are presented and adaptations are described in detail. Three demonstration software have been developed to implement the three algorithms and the performances of the three methods are then compared in terms of computation time and statistical quality of obtained solutions. Test results demonstrate that the TS algorithm type outperform the other heuristics.
- 1 January 1999
- Published by Wiley in European Transactions on Electrical Power
- Vol. 9 (1) , 35-41
Genetic, simulated annealing and tabu search algorithms: Three heuristic methods for optimal reconfiguration and compensation of distribution networks
In this paper three heuristic methods for radial distribution networks reconfiguration and capacitor control are presented. A Simulated Annealing algorithm (SA), a Genetic Algorithm (GA) and a Tabu Search algorithm (TS) with some adaptations have been applied and compared. Basic GA, SA and TS procedures, with particular reference to the combinatorial optimization problems, are presented and adaptations are described in detail. Three demonstration software have been developed to implement the three algorithms and the performances of the three methods are then compared in terms of computation time and statistical quality of obtained solutions. Test results demonstrate that the TS algorithm type outperform the other heuristics.