Optimal Improvement of Post-Disturbance Dynamic Response in Power Grids Conference

Jafari, M, Rahman, MA, Paudyal, S. (2022). Optimal Improvement of Post-Disturbance Dynamic Response in Power Grids . 2022-October 10.1109/IAS54023.2022.9939981

cited authors

  • Jafari, M; Rahman, MA; Paudyal, S

abstract

  • Any disturbance in power grids can lead to electromechanical oscillations leading to fluctuations in frequency and rotor angle of generators. If proper control actions are not taken, severe disturbances could lead to instability of the system. However, the dynamic response of the system depends on the set of control actions. Therefore, we propose to optimally enhance the dynamic response of multi-machine power systems following disturbances by controlling the reference set-point of the governors. To achieve this, we combine the famous DC power flow model of the grid with linearized dynamics of generators/governors to achieve scalable linear programming (LP) based optimization model that provides a set-point of the governors to achieve an optimal dynamic response of the generators. We validated the accuracy of the proposed models by comparing them with an off-the-shelf commercial dynamic modeling tool using the IEEE 39-bus test system. Thereafter, we use the proposed optimization model to dampen the frequency oscillations resulting from load disturbances. The results show that the proposed model can sufficiently capture the dynamic behavior of power grids and the comparison of frequency and rotor angle response obtained from the optimization-based approach show that the proposed method can greatly reduce the settling time of frequency and rotor angle responses compared to the non-optimized cases.

publication date

  • January 1, 2022

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 13

volume

  • 2022-October