AI approach to optimal VAr control with fuzzy reactive loads
- 1 January 1995
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Systems
- Vol. 10 (1), 88-97
- https://doi.org/10.1109/59.373931
Abstract
No abstract availableThis publication has 27 references indexed in Scilit:
- Application of neural-network computing in intelligent alarm processing (power systems)Published by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Reactive power optimization using fuzzy load representationIEEE Transactions on Power Systems, 1994
- A fuzzy-based optimal reactive power controlIEEE Transactions on Power Systems, 1993
- A coordinated control of voltage and reactive power by heuristic modeling and approximate reasoningIEEE Transactions on Power Systems, 1993
- Impact on some planning decisions from a fuzzy modelling of power systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Application of fuzzy sets to optimal reactive power planning with security constraintsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Fuzzy modelling of power system optimal load flowIEEE Transactions on Power Systems, 1992
- Artificial neural-net based dynamic security assessment for electric power systemsIEEE Transactions on Power Systems, 1989
- Possibility TheoryPublished by Springer Nature ,1988
- Artificial Intelligence Solutions to Power System Operating ProblemsIEEE Transactions on Power Systems, 1987