Current trends in power system development and the issues they pose have increased the urgency of automatic and emergency control alongside transient electromechanical processes. Such control devices place high demands on mode-parameter estimation algorithms in terms of their speed, accuracy, and transient sensitivity. This paper proposes a rapid estimation algorithm for power system parameters to investigate its optimal settings and applicability in both static and dynamic states. The proposed algorithm is based on signal approximation on a sliding window using a multiparameter model, which is highly stable and reliable. The signals modeled in MATLAB/Simulink were used as initial data. From the experimental results, it became clear that the rapid estimation algorithm of the power system parameters showed high accuracy in steady-state mode as well as during transients, and its optimal parameters were identified. The developed algorithm can be used in relay protection, automatic and emergency control devices, and synchronous machine state-monitoring systems.

The paper describes development and testing of the adaptive algorithm of turbine fast valving control. The purpose is to ensure transient stability of a synchronous generator during a disturbance. The turbine fast valving control algorithm is synthesized based on the equal area criterion in terms of torque. Phasor Measurement Unit data was used to identify the inception of a transient event and its parameters. Adaptability of the algorithm is achieved by using minimal amount of previously obtained parameters of a synchronous generator and a power system under consideration. The algorithm was tested on the single-machine system with automatic excitation control, steam turbine and its governor being taken into account.