On the ability of automatic generation control to manage critical situations in power systems with participation ofwind power plants parks

Abstract

The purpose of this work is design an automatic starter for the synchronizing equipment (SE) in power systems. Such a starter leads to a faster and secure decision concerning the introduction (i.e., a parallel switch) of a ready reserve generator to the power system as a type of ancillary service. The applied method is based on a hybrid neural model (HNM). The HNM consists of a feedforward, three-layer neural network using neurons with a sigmoid activation, and a perceptron with a biased hard limiter. The adopted HNM is excited by signals of the generator's operating status, current load regime, and an available power of the wind power plant park (WPPP). The logical decision-making is used to find out the actual load regime and the available power from WPPP relevant to building of HNM's input. The automatic starter of the SE enables a reduction of the time spent in seeing whether or not the rescue action will imply resorting to the ready reserve power. Such a reduction is certainly a contribution to the efforts of preserving a power system's integrity during the critical situations (e.g. generating unit/area outages). HNM has the ability to recognize the crisis symptoms immediately, and to consequently suggest an introduction of the ready-reserve (RR) generator (a supplemental reserve) through SE.