Abstract
The large-scale penetration of wind power might lead to degradation of the power system stability due to its inherent feature of randomness. Hence, proper control designs which can effectively handle various uncertainties become very crucial. This paper designs a novel robust passive control (RPC) scheme of a doubly-fed induction generator (DFIG) for power system stability enhancement. The combinatorial effect of generator nonlinearities and parameter uncertainties, unmodelled dynamics, wind speed randomness, is aggregated into a perturbation, which is rapidly estimated by a nonlinear extended state observer (ESO) in real-time. Then, the perturbation estimate is fully compensated by a robust passive controller to realize a globally consistent control performance, in which the energy of the closed-loop system is carefully reshaped through output feedback passification, such that a considerable system damping can be injected to improve the transient responses of DFIG in various operation conditions of power systems. Six case studies are carried out while simulation results verify that RPC can rapidly stabilize the disturbed DFIG system much faster with less overshoot, as well as supress power oscillations more effectively compared to that of linear proportional-integral-derivative (PID) control and nonlinear feedback linearization control (FLC).
Highlights
In recent years, the ever-growing global interest in renewable energy resources is attracting enormous attention from both industry and academics due to the worldwide increase in power demand, as well as the limitation of fossil fuels and their harmful impact on the environment
robust passive control (RPC) can handle various types of uncertainties which is applicable to more practical cases compared to that of parameter based robust/adaptive approaches; RPC does not require an accurate doubly-fed induction generator (DFIG) model while only the active power and reactive power need to be measured
RPC is very easy to be implemented in practice; A great system damping can be injected to improve the transient responses of DFIG in various operation conditions of power systems via energy reshaping, which can provide a faster active power response when DFIG is disturbed the power system stability could be enhanced significantly
Summary
The ever-growing global interest in renewable energy resources is attracting enormous attention from both industry and academics due to the worldwide increase in power demand, as well as the limitation of fossil fuels and their harmful impact on the environment. In [12], a feedback linearization control (FLC) was developed to globally compensate the nonlinearities of DFIGs while the internal dynamics stability is analysed in the sense of Lyapunov criteria; In addition, a high-order sliding-mode control (SMC) was applied which owns prominent advantages of great robustness against to different types of power grid fault, together with no extra mechanical stress on the wind turbine drive train [13]. The above three issues motivates this paper to design a more practical and widely applicable advanced controller with the consideration of the physical meaning of DFIG, which is called the robust passive control (RPC) to enhance the power system stability. RPC can handle various types of uncertainties which is applicable to more practical cases compared to that of parameter based robust/adaptive approaches; RPC does not require an accurate DFIG model while only the active power and reactive power need to be measured.
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