Advances in Transient Stability-Constrained Optimal Power Flow of Power Systems

Transient stability-constrained optimal power flow (TSCOPF) optimizes power flow while ensuring stability against potential contingencies. The main challenges faced by TSCOPF are the handling of transient constraints. The differential equations of the dynamic process and the inherent nonlinearity of power systems make modeling and solving them difficult. Currently, four methods are employed in TSCOPF: discretization methods, sequential methods, heuristic methods, and machine learning methods. The paper summarizes the latest literature review of these methods, including transient stability criteria, handling of stability constraints, computation flowcharts, advantages, and limitations. Moreover, as power systems rapidly advance, the discussion focuses on how they adapt to new elements and challenges. In conclusion, the existing research gap and future directions are presented.