Decentralized Nonlinear Control for Power Systems Using Normal Forms and Detailed Models

作者：Singh Abhinav Kumar; Pal Bikash C

来源：IEEE Transactions on Power Systems, 2018, 33(2): 1160-1172.

DOI：10.1109/TPWRS.2017.2724022

• Decentralized
• dynamic state estimation
• feedback linearization
• lie derivative
• nonlinear control
• normal form
• optimal control
• subtransient model
• unscented Kalman filtering

This paper proposes a decentralized method for nonlinear control of oscillatory dynamics in power systems. The method is applicable for ensuring both transient stability and small-signal stability. The method uses an optimal control law, which has been derived in the general framework of nonlinear control using normal forms. The model used to derive the control law is the detailed subtransient model of synchronous machines, as recommended by the IEEE. Minimal approximations have been made in either the derivation or the application of the control law. The developed method also requires the application of the dynamic state estimation technique. As the employed control and estimation schemes only need local measurements, the method remains completely decentralized. The method has been demonstrated as an effective tool to prevent blackouts by simulating a major disturbance in a benchmark power system model and its subsequent control using the proposed method.

• 出版日期2018-3