Intelligent tools in a real-world DMS environment

Author

Miranda, V. ; Matos, M. ; Lopes, J.P. ; Saraiva, J.T. ; Fidalgo, J.N. ; Ponce de Leao, Maria Teresa

Author_Institution

Inst. de Engenharia de Sistemas e Computadores, INESC, Porto, Portugal

Volume

1

fYear

2000

fDate

2000

Firstpage

163

Abstract

This paper describes a real-world DMS environment in which intelligent tools and techniques such as neural networks, fuzzy sets and meta-heuristics (like evolutionary computing and simulated annealing) have given a strong positive contribution. The paper discusses fuzzy load allocation and state estimation, feeder currents forecasting with ANN, switching with simulated annealing, voltage/VAr definition with simulated annealing, and expansion planning with evolutionary computing

Keywords

evolutionary computation; fuzzy set theory; neural nets; power distribution control; power distribution planning; power system state estimation; simulated annealing; switching; ANN; distribution management system; evolutionary computing; expansion planning; feeder currents forecasting; fuzzy load allocation; fuzzy sets; intelligent tools; meta-heuristics; neural networks; real-world DMS environment; simulated annealing; state estimation; switching; voltage/VAr definition; Artificial neural networks; Computational modeling; Computer networks; Fuzzy sets; Intelligent networks; Load forecasting; Neural networks; Predictive models; Simulated annealing; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society Summer Meeting, 2000. IEEE

Conference_Location

Seattle, WA

Print_ISBN

0-7803-6420-1

Type

conf

DOI

10.1109/PESS.2000.867591

Filename

867591