6533b822fe1ef96bd127d4eb
RESEARCH PRODUCT
Influence of ANN parameters on the performance of a refined procedure to solve the load-flow problem
Salvatore FavuzzaG. ScaccianoceAntonino AugugliaroV. CataliottiLuigi Dusonchetsubject
Bus networkElectric power systemArtificial neural networkFlow (mathematics)Computer scienceGenetic algorithmLearning networkElectrical and Electronic EngineeringAlgorithmdescription
In recent years, interest in the application of Artificial Neural Networks (ANN) to electrical power systems has grown rapidly. In particular the use of ANN in the solution of the load-flow problem in wide electrical networks is an interesting research topic, because it constitutes a good alternative to the classical numerical algorithms. In this paper a refined solution strategy based on statistical methods, on a particular Grouping Genetic Algorithm (GGA) and on Progressive Learning Network (PLN) is presented. Tests on the solution of load-flow equations of the standard IEEE 118 bus network confirm the good potential of this approach; in particular the search for optimal values of the PLN’s parameters, with the aim at reducing the number of processing units, reducing further the calculation time, it’s possible to make the procedure presented extremely competitive.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1999-06-01 | e & i Elektrotechnik und Informationstechnik |