Decision trees for dynamic security assessment and load shedding scheme

Modern power systems often operate close to their stability limits in order to meet the continuously growing demand, due to the difficulties in expanding the generation and transmission system. An effective way to face power system contingencies that can lead to instability is load shedding. In this paper we propose a method to assess the dynamic performance of the Greek mainland power system and to propose a load shedding scheme in order to maintain voltage stability under various loading conditions and operating states in the presence of critical contingencies including outages of one or more generating units in the south part of the system. A decision tree is used to assess the dynamic performance of the system. The candidate attributes of the decision tree are chosen through a data mining process

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