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• W2150175211 abstract "Multi objective optimal reactive power flow considering FACTS technology is becoming one of the most important issue in power system planning and control. This paper presents a new variant of particle swarm algorithm with time varying acceleration coefficients (TVAC) to solve multi objective optimal reactive power flow (MOORPF) (power loss minimization and voltage deviation). The proposed algorithm is used to adjust dynamically the parameters setting of Thyristor controlled series capacitor (TCSC) in coordination with voltages of generating units. This study is implemented on the standard IEEE 30-Bus system and the results are compared with other evolutionary programs such as simple genetic algorithm (SGA) and the simple particle swarm algorithm (SPSO). Simulation results confirm robustness of this new variant based PSO in term of solution quality and convergence time." @default.
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• W2150175211 date "2012-08-09" @default.
• W2150175211 modified "2023-09-25" @default.
• W2150175211 title "Multi Objective For Optimal Reactive Power Flow Using Modified PSO Considering TCSC" @default.
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• W2150175211 doi "https://doi.org/10.5923/j.ijee.20120204.08" @default.
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