Predictive model approach based direct power control for power quality conditioning

Houssam Eddine Medouce () and Hocine Benalla ()
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Houssam Eddine Medouce: Mentouri Brothers University
Hocine Benalla: Mentouri Brothers University

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 2, No 99, 1832-1848

Abstract: Abstract This paper has presented improved control structure based direct power control (DPC) applied for shunt active power filtering. Basically, DPC control strategy employs instantaneous active and reactive power terms as controlled variables. This work introduces an integration concept of predictive control algorithm for shunt active power filter system application. Process of this latter adopts discrete model of PWM converter in the aim to predict future behaviour of the system. Switching vector selection principles for predictive control is very different compared to conventional method. For conventional DPC the selection is performed via heuristic switching table while predictive DPC algorithm takes on an optimized way based on cost function minimization depending to power errors, this latter evaluate the effects of each active voltage vector and the one reducing the cost function is chosen to be applied in the next sampling period. The application of optimal switching state leads to regulate the input active and reactive power which resulted in the cancellation of harmonic power component contained in the network. Simulation results are presented to verify the validity and effectiveness of the proposed predictive DPC in terms of dynamic and steady state performance for shunt active power filtering application.

Keywords: Direct power control; Harmonics; Predictive model based direct power control; Shunt active power filter (SAPF); Non-linear load; Switching table; Cost function minimization (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s13198-017-0679-4

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