Active Power Estimation in the Non-coherent Sampling: A Comparative Study

Author(s):  
D. Agrez
2011 ◽  
Vol 18 (2) ◽  
pp. 173-184 ◽  
Author(s):  
Milos Sedlacek ◽  
Zdenek Stoudek

Active Power Measurements - An Overview and a Comparison of DSP Algorithms by Noncoherent Sampling This paper presents an overview of algorithms for one-phase active power estimation using digital signal processing in the time domain and in the frequency domain, and compares the properties of these algorithms for a sinusoidal test signal. The comparison involves not only algorithms that have already been published, but also a new algorithm. Additional information concerning some known algorithms is also included. We present the results of computer simulations in MATLAB and measurement results gained by means of computer plug-in boards, both multiplexed and using simultaneous signal sampling. The use of new cosine windows with a recently published iterative algorithm is also included, and the influence of additive noise in the test signal is evaluated.


Author(s):  
Abdallah Ben Abdelkader ◽  
Othmane Abdelkhalek ◽  
Ismail Khalil Bousserhane ◽  
Mohamed Amine Hartani ◽  
Aymen Omari

<p><span>Sensitive loads are widely used in industrial, which is the main cause of sag-swell and harmonics voltages problems that can affect the power quality. Among the devices that solve such power quality perturbations, the series active power Filter APFS is considered in this paper. Thus, a single phase APFS is developed through an analytic analysis, supported by an experimental validation, where we applied classical proportional integrator PI, fuzzy logic FLC and <a name="_Hlk525422768"></a>sliding mode SM controllers to improve the dynamic response of the APFS. In addition, a comparative study between these control strategies has made in order to mitigate voltage sag-swell and especially harmonics, where the SMC has showed more effective and robust results compared to PI and FLC and proved by the Total harmonic distortion THD ratio. Results of the proposed controllers are simulated in MATLAB simulink® and validated through experimental tests applied on our system prototype.</span></p>


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