SMES-Based Damping Controller Design Using Fuzzy-GrHDP Considering Transmission Delay
Date of Original Version
In this paper, a novel active power oscillation damping controller for superconducting magnetic energy storage (SMES) is developed to increase the power system transient stability. The proposed damping controller is online adaptive learning by using the fuzzy-based goal representation heuristic dynamic programming (Fuzzy-GrHDP) algorithm. Moreover, to address the signal transmission delay in the communication channels, the delay information is incorporated into the training process to provide prior knowledge to the controller. A comparative simulation study between the traditional residue-based design and the proposed Fuzzy-GrHDP-based design is conducted on an IEEE 16-machine 68-bus benchmark system to validate the effectiveness. The simulation results demonstrate that the proposed control method for SMES could effectively improve the system transient stability.
IEEE Transactions on Applied Superconductivity
Tang, Yufei, Chaoxu Mu, and Haibo He. "SMES-Based Damping Controller Design Using Fuzzy-GrHDP Considering Transmission Delay." IEEE Transactions on Applied Superconductivity 26, 7 (2016). doi:10.1109/TASC.2016.2586888.