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Probabilistic determination of pilot points for zonal voltage control

handle: 10197/6203
Owing to the local nature of voltage and reactive power control, the voltage control is managed in a zonal or regional basis. A new comprehensive scheme for optimal selection of pilot points is proposed in this study. The uncertainties of operational and topological disturbances of the power system are included to provide the robustness of the pilot node set. To reduce the huge number of probable states (i.e. combined states of load and topological changes), a scenario reduction technique is used. The resulted optimal control problem is solved using a new immune-based genetic algorithm. The performance of the proposed method is verified over IEEE 118-bus and realistic Iranian 1274-bus national transmission grids.
- Islamic Azad University of Falavarjan Iran (Islamic Republic of)
- K.N.Toosi University of Technology Iran (Islamic Republic of)
- K.N.Toosi University of Technology Iran (Islamic Republic of)
- AMEE
- Sharif University of Technology Iran (Islamic Republic of)
Immune-based Genetic Algorithm, Secondary voltage control, Uncertainty, Pilot node, Scenario reduction
Immune-based Genetic Algorithm, Secondary voltage control, Uncertainty, Pilot node, Scenario reduction
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).38 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
