Risk Identification of Power Transmission System with Renewable Energy
For power system operators, this provides a control-based approach to identify high-risk fluctuation patterns, though it is an incremental application of optimal control to a known problem.
The paper formulates risk identification in power transmission systems with renewable energy as an optimal control problem, developing a method to identify worst-case generation fluctuations that cause cascading failures, validated on the IEEE 9 Bus System.
This paper aims to investigate the risk identification problem of power transmission system that is integrated with renewable energy sources. In practice, the fluctuation of power generation from renewable energy sources can lead to severe consequences to power transmission network. By treating the fluctuation of power generation as the control input, the risk identification problem is formulated with the aid of optimal control theory. Thus, a control approach is developed to identify the fluctuation of power generation that results in the worst-case cascading failures of power systems. Theoretical analysis is also conducted to obtain the necessary condition for the worst fluctuations of power generation. Finally, numerical simulations are implemented on IEEE 9 Bus System to demonstrate the effectiveness of the proposed approach.