Search strategy for cascading failure in power systems based on genetic algorithm

This paper presents a search strategy to identify the chains of events that may lead to cascading failures in power systems. The genetic algorithm is applied to implement the search strategy in accordance with a proposed combined risk index incorporating severity and probability of contingency information. The system frequency characteristics are taken into account as well during analysis. Finally, the case studies are conducted to demonstrate the validity of the proposed model and method.