Wide‐area power system stabiliser based on model‐free adaptive control

Abstract

The interconnection of regional power grids has resulted in inter-area low-frequency oscillation, which has become a serious problem that threatens the security of power systems. Wide-area power system stabiliser (WAPSS) is an effective device to damp this oscillation. Given that the interconnected multi-machine power system is a strongly non-linear and complex system with time-varying structure and operating conditions, satisfactory control performance of WAPSS is difficult to obtain by using conventional model-based control methods. In this study, a data-driven control method called model-free adaptive control (MFAC) is introduced to WAPSS design. The MFAC algorithm is improved to meet the wide-area damping control requirements in consideration of system disturbances. The stability of the closed-loop system with the improved MFAC-WAPSS is also analysed, and the parameter settings of the improved MFAC algorithm are provided in detail. The improved MFAC-WAPSS can adjust its parameters adaptively only based on the input and output data and avoid the complex system modelling process. The proposed adaptive WAPSS is evaluated on a simplified New England power system. Simulation results show the effectiveness of this new technique.

Model-free sliding mode control, theory and application

“…Since jd(k)j \ D and based on Lemma 2 and considering equation (21), it can be deduced that there is a finite time number K Ã . 0 such that…”

“…In comparison to other data-driven methods with unknown controller structure, MFAC has several advantages that make it more suitable for practical applications: it depends only on the real-time inputoutput data of the systems, that is, it does not need any external testing signal and training process; and it is simple and can be easily applied. 6 Since now, it is implemented to several nonlinear and complex systems such as solid oxide fuel cell, 20 wide area power system 21 and artificial heart control. 22 In this article, a novel model-free sliding mode controller is proposed based on an approach similar to the MFAC approach.…”

Power generation control of a hydrostatic wind turbine implemented by model‐free adaptive control scheme

“…Additionally, it is an easily applicable control scheme, with low computational burden and strong robustness . The application of MFAC controller in power control systems has already been investigated previously, such as the applications of the power control system stabilizer, AC/DC microgrid, and wind turbine load control . In this paper, we specifically investigate the MFAC control's application on power generation control in the HWT.…”

Data-Driven Coordination of Distributed Energy Resources for Active Power Provision

“…The fundamental idea behind data-driven approaches is to describe the system behavior by a linear time-varying (LTV) input-output (IO) model, and estimate the parameters of this model via regression using measurements of pertinent variables [11], [12]. Many previous works have applied data-driven approaches to power system problems, both in a steady-state setting [9], [10], [13], [14], and a dynamical setting [15], [16]. For example, in [9], the authors developed a data-driven framework to estimate linear sensitivity distribution factors such as injection shifting factors [13]; they further proposed a data efficient sparse representation to estimate these sensitivities [13].…”

“…In [14], the authors used the estimation framework proposed in [9] to solve the security constrained economic dispatch problem. Data-driven approaches have also been applied successfully to develop power systems stabilizers [15], and damping controls [16]. We refer interested readers to [17] for an overview of data-driven approaches and their applications in a variety of other areas.…”