Application of Multi-Objective Evolutionary Algorithm for Optimal Reactive Power Dispatch with Flexible AC Transmission System Devices
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[1] K. C. Mamandur,et al. Optimal Control of Reactive Power flow for Improvements in Voltage Profiles and for Real Power Loss Minimization , 1981, IEEE Transactions on Power Apparatus and Systems.
[2] Francisco Herrera,et al. Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis , 1998, Artificial Intelligence Review.
[3] Mehrdad Ghandhari,et al. Use of UPFC for optimal power flow control , 1997 .
[4] K. Gomathy,et al. Genetically optimized neuro-fuzzy PSS for damping modal oscillations of power system , 2007 .
[5] Ghadir Radman,et al. Power flow model/calculation for power systems with multiple FACTS controllers , 2007 .
[6] Antonio Fernandes Dias,et al. Multiobjective genetic algorithms applied to solve optimization problems , 2002 .
[7] M. A. Abido,et al. Optimal VAR dispatch using a multiobjective evolutionary algorithm , 2005 .
[8] P. K. Dash,et al. Genetically Optimized Neuro-Fuzzy IPFC for Damping Modal Oscillations of Power Systems , 2002, IEEE Power Engineering Review.
[9] C. Fuerte-Esquivel,et al. Unified power flow controller: a critical comparison of Newton-Raphson UPFC algorithms in power flow studies , 1997 .
[10] Mehmet Tumay,et al. Mathematical modeling and analysis of a unified power flow controller: A comparison of two approaches in power flow studies and effects of UPFC location , 2007 .
[11] K. K. Sen. SSSC-static synchronous series compensator: theory, modeling, and application , 1998 .
[12] Xiao-Ping Zhang,et al. Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow , 2003 .