Online estimation of passive elements in a double conversion UPS system with no additional sensors

Oliveira, Tiago J. L.; Baptista, Tiago M. C.; Caseiro, Luis M. A.; Mendes, André M. S.; Perdigão, M. S.; Cruz, Sérgio M. A.

doi:10.1109/conftele50222.2021.9435589

Cited by 1 publication

(9 citation statements)

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“…The proposed inductance and capacitance estimation methods are described next. The principles of these two methods are similar and based on the strategies proposed in [2,12]. Fig.…”

Section: Proposed Parameter Estimation Methodsmentioning

confidence: 99%

“…This enables UPS systems to not only guarantee certain power quality requirements in the load during small grid disturbances (which may also be achieved by several power quality improvement systems) but also to uninterruptedly supply a critical load even during grid outages (not supported VOLUME X, XXXX by any other power quality improvement solution). From the different types of UPS systems, the double conversion UPS system represents the topology that provides the highest level of protection to a given critical load since it fully isolates the load from the grid disturbances [1,2]. In this type of UPS, the grid-side converter is usually connected to the mains through an inductive filter that allows the UPS to draw currents with low harmonic distortion.…”

Section: Introductionmentioning

confidence: 99%

“…Conversely, the Adaptive Linear Neuron (ADALINE) network corresponds to a simple single-layer neural network that does not require an offline training stage, being trained online. Therefore, its potential has been shown in several works regarding not only filter parameter estimation [2,12,24,26] but also current/voltage harmonic components identification [27,28] and flux estimation in electrical machines [23], which have reported a good estimation accuracy. Furthermore, according to [5,25], ADALINE-based parameter estimation techniques typically require lower computational burden and present faster convergence than more conventional estimation methods, including those based on EKFs [17,18,20] and MRAS [11,[14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…As previously described, numerous works have been proposed for parameter estimation in different applications. Despite that, only [2] proposes an estimation method to identify the filter parameters of a UPS system. Nevertheless, this study has several limitations such as: the estimated parameters are not considered in UPS controllers to optimize its performance in real-time; the estimation strategy cannot reliably estimate filter parameters in unbalanced filter conditions; no experimental validation is presented.…”

Section: Introductionmentioning

confidence: 99%

“…Another limitation of the existing studies is that, with exception of [2,9], conventional 2-level converters are still used. Furthermore, in practically all studies, the effectiveness of the proposed methods to reliably estimate filter parameters under unbalanced filter conditions is not demonstrated.…”

Section: Introductionmentioning

confidence: 99%

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Online Filter Parameters Estimation in a Double Conversion UPS System for Real-Time Model Predictive Control Performance Optimization

et al. 2022

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Uninterruptible Power Supplies (UPS) represent the key technology to continuously feed and protect a wide range of critical applications in electric power systems. Due to their continuous operation, UPS components degrade over time, including their filtering elements, leading to decreased filtering capabilities. With these deviations, UPS performance is typically reduced. Moreover, if filter parameter deviations are not considered in the control system, performance degradation can be further increased and the critical load can be seriously compromised. This is especially important with Model Predictive Control (MPC), which heavily relies on system parameters accuracy. Thus, control performance optimization using estimated filter parameters in UPS systems can be extremely important. Nevertheless, this has not yet been covered in the literature for UPS systems. In light of these facts, this paper proposes a new mechanism that, by using online estimated filter parameters, optimizes the performance of an MPC strategy, in a UPS system. In the scope of this optimization mechanism, an estimation method that enables parameter identification and control optimization not only in balanced but also in highly unbalanced filter conditions (rarely studied in the literature) is proposed. Experimental results demonstrate the accuracy of the proposed estimators and the effectiveness of the proposed control performance optimization mechanism. Under severe filter parameter variations, the proposed performance optimization scheme enabled to reduce the degradation (caused by filter variation) of the grid current and load voltage THD by 29.41 % and 91.60 %, respectively. Furthermore, the degradation of the RMS load voltage value was also significantly reduced by 97.98 %.INDEX TERMS model predictive control, online inductance and capacitance estimation, power quality, real-time control performance optimization, uninterruptible power supply.

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“…The proposed inductance and capacitance estimation methods are described next. The principles of these two methods are similar and based on the strategies proposed in [2,12]. Fig.…”

Section: Proposed Parameter Estimation Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%