Decentralized neural network-based excitation control of large-scale power systems

作者：Liu Wenxin^*; Sarangapani Jagannathan; Venayagamoorthy Ganesh K; Liu Li; Wunsch Donald C II; Crow Mariesa L; Cartes David A

来源：International Journal of Control Automation and Systems, 2007, 5(5): 526-538.

• decentralized control
• large-scale system
• neural networks
• power system control

This paper presents a neural network based decentralized excitation controller design for large-scale power systems. The proposed controller design considers not only the dynamics of generators but also the algebraic constraints of the power flow equations. The control signals are calculated using only local signals. The transient stability and the coordination of the subsystem control activities are guaranteed through rigorous stability analysis. Neural networks in the controller design are used to approximate the unknown/imprecise dynamics of the local power system and the interconnections. All signals in the closed loop system are guaranteed to be uniformly ultimately bounded. To evaluate its performance, the proposed controller design is compared with conventional controllers optimized using particle swarm optimization. Simulations with a three-machine power system under different disturbances demonstrate the effectiveness of the proposed controller design.

• 出版日期2007-10