Algorithm for Development of Early Warning Signal for Transient Stability

The electrical power system is being operated to function at or near its security margins due to the rapid increase in power demand, constrained power transmission corridors, and minimal redundancy. Moreover, penetration of renewable resources, market deregulation, and access to different types of power electronic equipment under stressed condition has imposed severe dangers on the power system stability. In order to prevent large-scale blackouts and severe cascaded failures, it is essential to explore efficient and reliable tools for assessing power system transient stability. This paper aims to implement an early warning signal using transient stability assessment for forecasting instability on the IEEE WSCC 9-bus system. Energy functions are derived explicitly to observe the transient instability of the system. The polynomial regression method is applied to the energy functions to give an early warning signal.