New strategy for generation of reference current in Active Power Filters with distortion in line voltage

Panigrahi, Rakhee; Panda, P. C.; Subudhi, Bidyadhar

doi:10.1109/iciinfs.2012.6304814

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…From the steady‐state response, our proposed RECKF is found to be the best among the four KF [23, 24] algorithms, but slightly better than conventional PI controller. To further assess the performance of our proposed RECKF with conventional PI controller, the transient test analyses were performed in the SAPF system.…”

Section: Simulation and Opal‐rt Resultsmentioning

confidence: 99%

Model predictive‐based shunt active power filter with a new reference current estimation strategy

Panigrahi

Subudhi

Panda

2015

IET Power Electronics

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This study presents a new reference current estimation method using proposed robust extended complex Kalman filter (RECKF) together with model predictive current (MPC) control strategy in the development of a three-phase shunt active power filter (SAPF). A new exponential function embedded into the RECKF algorithm helps in the estimation of in phase fundamental component of voltage (v h) at the point of common coupling considering grid perturbations such as distorted voltage, measurement noise and phase angle jump and also for the estimation of fundamental amplitude of the load current (i h). The estimation of these two variables (v h , i h) is used to generate reference signals for MPC. The proposed RECKF-MPC needs less number of voltage sensors and resolves the difficulty of gain tuning of proportional-integral (PI) controller. The proposed RECKF-MPC approach is implemented using MATLAB/SIMULINK and also Opal-RT was used to obtain the real-time results. The results obtained using the proposed RECKF together with different variants of Kalman filters (Kalman filter (KF), extended KF (EKF) and extended complex KF (ECKF)) and PI controller are analysed both in the steady state as well as transient state conditions. From the above experimentation, it was observed that the proposed RECKF-MPC control strategy outperforms over PI controller and other variants of Kalman filtering approaches in terms of reference tracking error, power factor distortion and percentage total harmonic distortion in the SAPF system.

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Section: Simulation and Opal‐rt Resultsmentioning

confidence: 99%

Model predictive‐based shunt active power filter with a new reference current estimation strategy

Panigrahi

Subudhi

Panda

2015

IET Power Electronics

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“…This estimated signal is compared with the real signal, and the difference serves to improve the estimation of future samples. The basic Kalman filter can be described using two equations in the form of models [ 113 , 114 , 115 ].…”

Section: Harmonic Extraction Algorithmsmentioning

confidence: 99%

“…Another approach was described in [ 114 ]. This approach uses KFs to estimators the reference current and voltage.…”

Section: Harmonic Extraction Algorithmsmentioning

confidence: 99%

Review of Fundamental Active Current Extraction Techniques for SAPF

Baroš

Sotola

Bilík

et al. 2022

Sensors

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The field of advanced digital signal processing methods is one of the fastest developing scientific and technical disciplines, and is important in the field of Shunt Active Power Filter control methods. Shunt active power filters are highly desirable to minimize losses due to the increase in the number of nonlinear loads (deformed power). Currently, there is rapid development in new adaptive, non-adaptive, and especially hybrid methods of digital signal processing. Nowadays, modern methods of digital signal processing maintain a key role in research and industrial applications. Many of the best practices that have been used to control shunt active power in industrial practice for decades are now being surpassed in favor of new progressive approaches. This systematic research review classifies the importance of using advanced signal processing methods in the field of shunt active power filter control methods and summarizes the extant harmonic extraction methods, from the conventional approach to new progressive methods using genetic algorithms, artificial intelligence, and machine learning. Synchronization techniques are described and compared as well.

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Performance evaluation of a new Kalman filter based least mean square algorithm for power quality improvement

Chittora

Singh

2016

2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)

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New strategy for generation of reference current in Active Power Filters with distortion in line voltage

Cited by 3 publications

References 10 publications

Model predictive‐based shunt active power filter with a new reference current estimation strategy

Model predictive‐based shunt active power filter with a new reference current estimation strategy

Review of Fundamental Active Current Extraction Techniques for SAPF

Performance evaluation of a new Kalman filter based least mean square algorithm for power quality improvement

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