Application of flywheel energy storage system to enhance transient stability of power systems

This article aims to develop a self-organizing control scheme for the flywheel energy storage system (FESS) to enhance transient stability of power systems. Due to the model of transient stability control being a nonlinear dynamic equation, a self-organizing neural network-based fuzzy controller is introduced to implement in the FESS control system. The membership functions and control rules of fuzzy controller are expressed as the processing nodes in the neural network (NN). Then, the heuristic fuzzy control parameters can be optimally tuned from training examples due to excellent organizing capability of NN. For robustness consideration, a multilayer neural network is used to learn the relation of operation conditions and optimal parameters of the controller To demonstrate the effectiveness of the proposed controller some simulations are conducted on a single-machine-infinite-bus (SMIB) power system. The results show that the FESS with the proposed controller has produced significant improvement in the power system stability.