Excitation control for multimachine power systems

A Nonlinear Excitation Controller Design Method for Terminal Voltage Regulation and Transient Stability Enhancement

“…Let the virtual input μ vi ¼ _ y vi , and place the inverse system (9) in front of the generator model as shown in Figure 2, we can obtain the input-output pseudo-linearized model as…”

“…In order to overcome the drawbacks of the conventional excitation controllers, numerous nonlinear excitation control methods are studied [7][8][9][10][11][12]. By these methods, the nonlinear excitation controllers are designed to improve the transient stability of the systems, but the basic function of the excitation to regulate the terminal voltage is ignored.…”

WAMS based robust HVDC control considering model imprecision for AC/DC power systems using sliding mode control

“…By taking the COI frequency of the sending area ω COI,A as the reference frequency, the dynamics of the COI frequency deviation between Area A and Area B can be derived from (7) and (8) aṡ…”

“…Sometimes, the linear control strategy based on the normal operation point may even make the system deviate from the equilibrium point under severe disturbances [3]. In order to avoid the above problems, nonlinear control techniques such as the adaptive nonlinear control [4], the feedback linearization technique [5] and the sliding mode control [6][7][8][9] have been applied to power system stability control in a series of literature over the past decades. The adaptive control is used for systems with parameters slowly varying.…”

Robust synchronous generator excitation based on novel feedforward control

“…In Kenne et al and De Leon‐Morales et al, feedback‐linearization–based controllers are proposed, where Kenne et al represents a direct feedback linearization control action, while in De Leon‐Morales et al, an observer‐based controller is used. In De Leon‐Morales et al, an H∞‐based robust excitation controller is used, while in Fernndez‐Vargas and Niewierowicz, an energy‐function–based nonlinear control structure is proposed. In Loukianov et al and Colbia‐Vega et al nonlinear controllers based on the sliding mode are presented, while in Gunes and Dogru, a fuzzy‐based application is proposed.…”