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Data-Driven-Based Optimization for Power System Var-Voltage Sequential Control
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DOI：10.1109/TII.2018.2856826.png)
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Abstract
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This paper proposes a data-driven-based optimization method for var-voltage sequential control (V2SC). First, power system var-voltage control characteristics, defined as the function between the reactive power injections and the bus voltages, are approximated by the var-voltage sensitivities (V2S). Then, V2S is estimated online using the noise-assisted ensemble regression method. Subsequently, an optimal model is proposed for V2SC based on the V2S estimation. To avoid frequent back and forth control actions, a hysteresis control strategy is employed. The performance of the proposed method is statistically validated in the 8-generator 36-node system and the Nordic32 system with test data measured from real power systems.
Keywords:
Data-driven method
optimal voltage control
var-voltage sequential control (V2SC)
var-voltage sensitivity
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