A Searching Method for the Worst Operating Condition of Oscillatory Stability in New Energy Systems Based on Metaheuristic Algorithm

With the massive integration of new energy, the oscillation problem caused by the interaction between power electronics devices and the grid is becoming prominent. In the planning and operation stage of power system, it is necessary to assess the risk of system oscillation and analyze this risk under severe operating conditions. Therefore, how to search the worst operating conditions has become a key problem to solve. In this paper, an oscillatory worst condition search method is proposed based on metaheuristic algorithm. In this method, the operating condition variables are first selected in according with the system. Then, an oscillation stability analysis function is constructed based on logarithmic derivative method. After that, metaheuristic algorithm is selected to identify the worst operating condition of oscillatory stability. Finally, the risk of system oscillation is analyzed according to the worst operating condition. This method is applied to an actual large-scale wind power integration system, resulting in the worst operating condition is calculated and the risk of system oscillation is evaluated.