Synthesized method for estimating a power system regime parameters state for real time hardware and software packages

Abstract

Relevance. Real time hardware and software systems are operated in power system operation centers. In these systems the state estimation block is one of the key one, since in accordance with the regime parameters results, derived from this block, the more comprehensive parameters can be calculated. These parameters are reckoned for system stability and reliability. Today telemetry and synchronized phasor measurements are used for parameters estimation. Therefore, the state estimation methods development is a relevant task. Aim. Development and practical evaluation of the regime parameters estimation synthesized method for using in real time hardware and software systems. The synthesized method permits to improve estimation accuracy and decision quality of focal points coming from system stability and reliability stabilization. Methods. Proposed method is based on mathematical frameworks of Gauss–Newton method and extended Kalman filter when telemetry and synchronized phasor measurements arrays are simultaneously utilized. Results. The synthesized method of power systems regime parameters estimation at steady-state and post accident conditions is developed and evaluated. Conclusions. It is confirmed, that presented synthesized method increases accuracy of the voltage and active power flow estimation at steady-state and post accident regimes, thereby enabling the improved accuracy of maximum allowed active power flows and control action volumes in contrast to the standard state estimation method. Developed software provides an opportunity to implement this method into the state estimation block of real time hardware and software systems. The upcoming trends for state estimation methods development in the event of dynamic processes in power system areas are also formed.