Regionalization Control for Power Quality Based on Time Series Pattern Matching

Focusing on the limitations of steady-state power quality controls based on the mechanism modeling, the data-driven approach was used, and a regionalization control strategy based on time series pattern matching was proposed for power quality. Relatively long time-scale power quality time series were constructed from the monitoring data at nodes in a power distribution network. A piecewise linear representation taking into account critical turning points of trends was employed to extract major local trend features and their time features, thereby establishing pattern feature matrices of the time series. A trend-time distance (T-TD) method based on dynamic time warping (DTW) was developed to implement the pattern matching on the time series to measure the long-term coupling degrees of power quality among nodes. A partition criterion according to the coupling degrees was defined to divide control areas of power quality. Dominant control nodes were determined in the identified areas. Case simulation analyses on the IEEE 14-node power distribution system were conducted to indicate the rationality and effectiveness of the proposed strategy and to verify the accuracy and applicability of the proposed method. © 2019 Chin. Soc. for Elec. Eng.