A hybrid genetic algorithm for optimal reactive power planning based upon successive linear programming
- 1 January 1999
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Systems
- Vol. 14 (4), 1292-1298
- https://doi.org/10.1109/59.801887
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Application of evolutionary programming to reactive power planning-comparison with nonlinear programming approachIEEE Transactions on Power Systems, 1997
- A past global optimization approach to VAr planning for the large scale electric power systemsIEEE Transactions on Power Systems, 1997
- Optimization method for reactive power planning by using a modified simple genetic algorithmIEEE Transactions on Power Systems, 1995
- Application of fuzzy sets to optimal reactive power planning with security constraintsIEEE Transactions on Power Systems, 1994
- Reactive power optimization by genetic algorithmIEEE Transactions on Power Systems, 1994
- A new approach for optimal VAr sources planning in large scale electric power systemsIEEE Transactions on Power Systems, 1993
- Multi-year multi-case optimal VAR planningIEEE Transactions on Power Systems, 1990
- An integrated methodology for VAr sources planningIEEE Transactions on Power Systems, 1988
- Practical reactive power allocation/operation planning using successive linear programmingIEEE Transactions on Power Systems, 1988
- A Decomposition Approach to Preventive Planning of Reactive Volt Ampere (VAR) Source ExpansionIEEE Transactions on Power Systems, 1987