Development of computional intelligence-based algorithms of preventing voltage collapse in power systems with a complex multi-loop structure

Majority of recent large-scale blackouts have been caused by voltage instability. This paper proposes new algorithms and implementation principles of an intelligent emergency control based on machine learning models and decentralized adaptive models that can effectively prevent voltage instability before they lead to major blackouts and overall collapse of the system. The proposed algorithms have been implemented using MATLAB and R environments. The feasibility of the approach in a proof-of-concept has been demonstrated on the IEEE 118.