The invention relates to the technical field of intelligent power grids, and provides an intelligent operation centralized control center intelligent scheduling
interaction method and
system, and the method comprises the steps: generating a
heat distribution gradient through environment
noise filtering, reflecting the temperature field change of equipment, obtaining a
voltage amplitude envelope through fundamental wave and
harmonic wave separation, and monitoring the
power quality; a current fluctuation coefficient is extracted by combining segmented deviation analysis to evaluate a line load state, and frequency fluctuation parameters are captured by using
time domain statistics to track
system stability. By constructing a dynamic association map, heterogeneous data such as
thermodynamics, electrical quantity, load characteristics and synchronous states are mapped to
power grid topological nodes, and a cross-dimension association relationship is established to realize whole-network state
coupling analysis. An overload risk, a
voltage out-of-limit probability and a
system instability threshold are quantified through a hierarchical evaluation mechanism, a multi-target optimization constraint condition is formed, and finally a scheduling strategy considering
equipment safety, economy and power supply reliability is generated. When the power system operates, intelligent scheduling is carried out according to the operation state of the
power grid.