Harmonic estimation using RLS algorithm and elimination with improved current control technique based SAPF in a distribution network

Garanayak, Priyabrat; Panda, Gayadhar; Ray, Pravat Kumar

doi:10.1016/j.ijepes.2015.04.023

Cited by 25 publications

(15 citation statements)

References 21 publications

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“…The Recursive-Least-Squares (RLS) is an adaptive lter, which recursively nds the coecients by minimizing a weighted linear least squares cost function. RLS-based estimation approaches have been successfully developed for accurate estimation of harmonics in power system signals [27][28][29][30]. This section compares the proposed method with RLS-based method.…”

Section: Comparison Resultsmentioning

confidence: 99%

Identification of Acceleration Harmonics for a Hydraulic Shaking Table by Using Hopfield Neural Network

et al. 2017

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Abstract. The paper aims to develop a harmonic identi cation scheme for a hydraulic shaking table's sinusoidal acceleration response. Nonlinearities are inherent in a hydraulic shaking table. Some of them are dead zone of servo valve, backlash and friction between joints, and friction in actuator. Nonlinearities cause harmonic distortion of the system shaking response when it corresponds to a sinusoidal excitation. This lowers the system control performance. An e cient, time-domain acceleration harmonic identi cation is developed by using Hop eld neural network. Due to the introduction of energy function used to optimize the computation for the identi cation harmonic method, the fully connected, single-layer feedback neural network does not require training in advance and is able to identify harmonic amplitudes and phase angles. Each harmonic, as well as the fundamental response, can be directly obtained. Simulations and experiments show very promising results that the proposed scheme is really applicable to identify harmonics with high precision and good convergence. Comparisons between the presented method and another method are carried out to further demonstrate its e ciency.

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Section: Comparison Resultsmentioning

confidence: 99%

Identification of Acceleration Harmonics for a Hydraulic Shaking Table by Using Hopfield Neural Network

et al. 2017

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“…Thus, active power filter (APF) is introduced to overcome these problems. Among different types of APF, shunt APF (SAPF) has been widely applicable as a viable solution …”

Section: Introductionmentioning

confidence: 99%

“…Solar PV power generation has been widely used to meet the energy demand which improves the reliability and power quality while reducing the burden on the central grid. Recently, power quality issues in the grid‐tied system have been addressed by the use of more advanced APF technology . However, SAPF is the most dominant solution to mitigate the power quality problems.…”

Section: Introductionmentioning

confidence: 99%

Kalman filter variant intelligent control for power quality improvement in photovoltaic active power filter system

Prince

Panda

2019

Int Trans Electr Energ Syst

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Summary The increased usage of nonlinear loads in the distribution system network with deep integration of renewable energy sources imposes the need for advanced control to improve power quality. With the objective to attain desired sinusoidal voltage waveshape at the common utility point, unity power factor operation, and reduction in harmonics, a swarm intelligent enhanced dual extended Kalman filter (DEKF) control technique for improving the performance of shunt active power filter (SAPF) is proposed in this paper. A photovoltaic (PV) array is integrated at the DC‐bus which supplies the required load power thus reducing the grid power demand. A single sensor‐based control is used to track the maximum power from the two‐stage PV array. The enhancement of the SAPF performance requires proper tuning of parameters; constriction factor‐based particle swarm optimization (PSO) is adopted in this regard. The DEKF estimates both state and parameter from the nonlinear system for generating a reference signal. The performance of the proposed control algorithm is compared with the Extended Kalman filter (EKF)‐based PV‐SAPF system using MATLAB/Simulink. To verify the efficacy of the controller, an experimental PV‐SAPF prototype is developed in the laboratory and tested under balanced and unbalanced supply, dynamic load as well as varying irradiance conditions.

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“…However, this mechanism has few drawbacks, such as resonance, size, instability, and inability to compensate for the changing harmonic current contents, which deject their implementation. To resolve these issues, an active filtering approach called active power filter (APF) was introduced as an advanced technique for harmonics elimination and reactive power compensation [3]- [7]. Nonetheless, the main disadvantage in using this approach is that the cost of power electronic inverters is high, especially for high power ratings.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, this method may provide imprecise results during transient conditions. Time-domain approaches, such as d-q and p-q transformations, are based on the measurements and transformation of three-phase quantities [7]- [10]. However, these three-to two-phase transformations fail to work properly under unbalanced conditions [3], [13].…”

Section: Introductionmentioning

confidence: 99%

Harmonic Elimination and Reactive Power Compensation with a Novel Control Algorithm based Active Power Filter

Garanayak¹,

Panda²

2015

Journal of Power Electronics

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This paper presents a power system harmonic elimination using the mixed adaptive linear neural network and variable step-size leaky least mean square (ADALINE-VSSLLMS) control algorithm based active power filter (APF). The weight vector of ADALINE along with the variable step-size parameter and leakage coefficient of the VSSLLMS algorithm are automatically adjusted to eliminate harmonics from the distorted load current. For all iteration, the VSSLLMS algorithm selects a new rate of convergence for searching and runs the computations. The adopted shunt-hybrid APF (SHAPF) consists of an APF and a series of 7 th tuned passive filter connected to each phase. The performance of the proposed ADALINE-VSSLLMS control algorithm employed for SHAPF is analyzed through a simulation in a MATLAB/Simulink environment. Experimental results of a real-time prototype validate the efficacy of the proposed control algorithm.

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Harmonic estimation using RLS algorithm and elimination with improved current control technique based SAPF in a distribution network

Cited by 25 publications

References 21 publications

Identification of Acceleration Harmonics for a Hydraulic Shaking Table by Using Hopfield Neural Network

Identification of Acceleration Harmonics for a Hydraulic Shaking Table by Using Hopfield Neural Network

Kalman filter variant intelligent control for power quality improvement in photovoltaic active power filter system

Harmonic Elimination and Reactive Power Compensation with a Novel Control Algorithm based Active Power Filter

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