Treffer: Intelligent multiobjective optimization of distribution system operations

Title:
Intelligent multiobjective optimization of distribution system operations
Authors:
SARFI, Robert J, SOLO, Ashu M. G
Source:
Innovative applications of artificial intelligenceThe AI magazine. 27(3):51-62
Publisher Information:
Menlo Park, CA: American Association for Artificial Intelligence, 2006.
Publication Year:
2006
Physical Description:
print, 21 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Apprentissage et systèmes adaptatifs, Learning and adaptive systems, Acquisition connaissances, Knowledge acquisition, Adquisición de conocimientos, Optimisation, Optimization, Optimización, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Réseau commutation, Switching networks, Système base connaissances, Knowledge based systems, Système distribution, Distribution system, Sistema distribución, Système flou, Fuzzy system, Sistema difuso, Système hybride, Hybrid system, Sistema híbrido, Système réparti, Distributed system, Sistema repartido
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Boreas Group LLC
ISSN:
0738-4602
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18190130
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18190130
Database:
PASCAL Archive

Weitere Informationen

■ A hybrid fuzzy knowledge-based system with crisp and fuzzy rules as well as numerical methods was developed for multiobjective optimization of power distribution system operation. The development process and knowledge-acquisition process for the fuzzy knowledge-based system are described in detail. Fuzzy sets are defined for recent temperature trend, line section loading, transformer aging, voltage-level guidelines, and the degree of desirability of a proposed switching combination. After a heuristic preprocessor proposes a list of switch openings that would seem to reduce system losses, network radiality rules consider whether to open a particular switch and find a corresponding switch that can be closed to maintain radiality. Network parameter rules determine whether the proposed switching combination will violate network integrity. Network performance rules find the degree of desirability of proposed switching combinations for enhancing multiple objectives. All operational aspects of power distribution systems are considered, and a solution is still found in real time.