Mariusz Buciakowski

The dynamic development of energy storage technologies makes it possible to solve many problems related to the negative impact of renewable sources and fluctuating loads on the power and voltage quality parameters at their point of connection to the distribution grid. By absorbing temporary energy surpluses and covering temporary energy deficits, these technologies enable the smoothing of output power profiles of wind turbines, as well as the reduction in peak power values, for example, in traction substations or fast-charging hubs for electric vehicles. This article discusses the specifics of both applications with particular emphasis on methods for sizing energy storage parameters, methods for their control, and the special effects they allow us to achieve. The methods proposed by the authors allow for the more optimal selection of energy storage parameters in existing energy facilities based on their measured power profiles. The proposed control methods, in turn, allow for not only a reduction in relative changes in power and voltage but also enable an increase in the installed power of wind farms without investing in the modernization of the distribution network, as well as reducing the contracted power of traction substations. The analyses presented in this article are based on power profile measurements of real objects, and the proposed solutions are already being implemented in power infrastructure.

This paper presents an overview of issues related to noise generation in electric vehicle (EV) charging systems. It discusses the requirements for noise reduction in locations where charging stations are most commonly installed. The primary sources of noise in EV charging stations are identified, considering their design and configuration. The results of acoustic tests for specific noise sources and entire charging stations are presented, including measurements of sound pressure level (SPL), acoustic imaging, and the generated acoustic spectrum. The paper also describes noise reduction methods and proposes solutions aimed at minimizing the noise generated by charging infrastructure. Additionally, the results of tests illustrating the effectiveness of these methods are presented.

The paper deals with a problem of remaining useful life estimation for a class of fuzzy systems described with a well-known Takagi-Sugeno modeling paradigm. Such an approach is especially worth of investigation due to the fact that it allows predicting a time to the failure of each actuator. As a result, it makes it possible to planning their maintenance aiming at expanding their useful lifetime. In order to do so, the proposed methodology employs a fault estimation strategy. Such a fault estimation is accompanied with a state estimation. The proposed methodology enables suitable robustness while estimating the state as well as both actuator and sensor faults. Subsequently, the obtained estimates are used for predicting the actuator fault evolution, and hence, assessing actuators remaining useful time. The final part of the paper illustrates an example with an application of the proposed approach to the laboratory multi-tank system.

This article undertakes the problem of simultaneous estimation of state and process faults in linear parameter varying systems. For this purpose, a novel strategy that exploits recent results on the design of observers for quadratic parameter varying systems is developed, and a complete design procedure is described. First, it is shown that by treating the process faults as additional states to be estimated, the arising augmented state‐space model is indeed expressed as a quadratic parameter varying system. Hence, the estimates provided by a quadratic parameter varying observer based on the so‐called linear output error injection principle would comprise both the actual state and the process faults estimates. Robust design conditions that minimize the effect of disturbances and measurement noise on some linear, and possibly parameter‐varying, combination of error variables are obtained using a Lyapunov‐based approach. Then, it is shown that the design problem can be reduced to a finite set of linear matrix inequalities that can be solved using available computational tools. The final part of the article exhibits an illustrative example, which clearly exposes the potential applicability and performance of the developed approach.

The paper is devoted to the problem of estimating simultaneously states, as well as actuator and sensor faults for Takagi–Sugeno systems. The proposed scheme is intended to cope with multiple sensor and actuator faults. To achieve such a goal, the original Takagi–Sugeno system is transformed into a descriptor one containing all state and fault variables within an extended state vector. Moreover, to facilitate the overall design procedure an auxiliary fault vector is introduced. In comparison to the approaches proposed in the literature, a usual restrictive assumption concerning fixed fault rate of change is removed. Finally, the robust convergence of the whole observer is guaranteed by the so-called quadratic boundedness approach which assumes that process and measurement uncertainties are unknown but bounded within an ellipsoid. The last part of the paper portrays an exemplary application concerning a nonlinear twin-rotor system.