Online prediction of power system trajectories from phasor measurement unit (PMU) data

Bazerque, Juan Andres¹; Monzon, Pablo¹; Giusto, Alvaro¹

¹ Universidad de la Republica

Baixar PDF doi:10.20906/CPS/CBA2018-0324

Resumo

This paper proposes an online method to integrate the trajectories of differential-algebraic equations in the context of networked power systems. We predict these trajectories from a real-time data stream generated by phasor measurement units, combining newly incoming data with past information. For this purpose, we propose a stochastic optimization technique that incorporates new data as they become available, trading-off measurement errors for modeling uncertainty. The method is tested on a benchmark system of 39 buses and 10 generators being able to anticipate the system recovery from a three-phase-to-ground short-circuit.

Palavras-chave: power system dynamics; synchropahsors; estimation