Analyzing the effects of transmission line fault on the stochastic model predictive controlled IEEE 30-bus system with uncertain environment

Unpredictable accidents and uncertain environment make the management of the power systems difficult, which may increase the cost of power generation. In this paper, we apply a stochastic model predictive control to maintain the demand-and-supply balance in the IEEE 30-bus system and analyze how much a transmission line fault with uncertain weather forecast raises the generation costs. Since the temperatures of the transmission lines are greatly affected by the accuracy of the weather forecast, the effects of the accuracy on the generation costs are also analyzed.