Voltage Stability Monitoring Using Thevenin Tracking

The patent segments the tracking process into distinct phases: initialization phase using recursive least squares for accurate initial estimation, and steady-state phase using algebraic equations for continuous real-time updates. This segmentation allows the system to achieve both high initial precision and sustained real-time performance without false alarms.

The patent performs preliminary action by initializing the Thevenin equivalent parameters using recursive least squares before switching to the faster algebraic update method. This preliminary accurate estimation establishes a reliable baseline that prevents false alarms during the transition to real-time monitoring.

The patent divides the tracking operation into initialization phase (using computationally intensive recursive least squares) and continuous monitoring phase (using faster algebraic equations). This segmentation eliminates ongoing computational delays while maintaining precision through the initial accurate estimation and subsequent efficient updates.

The patent applies partial action by using recursive least squares only for initialization and specific disturbance conditions, rather than continuously. This reduces overall computational time loss while maintaining measurement precision when it matters most.

The patent implements dynamic adaptation by switching between different tracking methods based on system conditions. The system dynamically selects between recursive least squares, algebraic equations, and hybrid approaches depending on whether the system is in transient or steady-state, maintaining precision without excessive complexity.

The patent changes parameters by adjusting the estimation method based on operating conditions. During disturbances, it uses more accurate but complex methods; during steady-state, it uses simpler methods. This parameter adaptation maintains precision while managing complexity according to actual system needs.