Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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A Four Leg Shunt Active Power Filter Predictive Fuzzy Logic Controller for Low-Voltage Unbalanced-Load Distribution Networks

  • Fahmy, A.M. (Department of Electrical Engineering, Canadian International College) ;
  • Abdelslam, Ahmed K. (Department of Electrical and Control Engineering, Arab Academy for Science and Technology) ;
  • Lotfy, Ahmed A. (Department of Electrical and Control Engineering, Arab Academy for Science and Technology) ;
  • Hamad, Mostafa (Department of Electrical and Control Engineering, Arab Academy for Science and Technology) ;
  • Kotb, Abdelsamee (Department of Electrical Engineering, Al-Azhar University)
  • Received : 2016.11.29
  • Accepted : 2017.06.23
  • Published : 2018.03.20
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Abstract

Recently evolved power electronics' based domestic/residential appliances have begun to behave as single phase non-linear loads. Performing as voltage/current harmonic sources, those loads when connected to a three phase distribution network contaminate the line current with harmonics in addition to creating a neutral wire current increase. In this paper, an enhanced performance three phase four leg shunt active power filter (SAPF) controller is presented as a solution for this problem. The presented control strategy incorporates a hybrid predictive fuzzy-logic based technique. The predictive part is responsible for the SAPF compensating current generation while the DC-link voltage control is performed by a fuzzy logic technique. Simulations at various loading conditions are carried out to validate the effectiveness of the proposed technique. In addition, an experimental test rig is implemented for practical validation of the of the enhanced performance of the proposed technique.

Keywords

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Fig. 1. Low-voltage distribution network under investigation. (a) Three-phase four-wire supply feeding a three-phase four-wire unbalancednon-linear load. (b) 4-Leg SAPF connected to the system under investigation. (c) Proposed SAPF controller block diagram.

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Fig. 2. Proposed DC-link voltage fuzzy logic controller. (a) Controller block diagram. (b) FLC stages. (c) Error membership function.(d) Change of error membership function. (e) Output membership function.

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Fig. 3. DC-link capacitor voltage simulation results under: (a) proposed fuzzy logic controller; (b) conventional PI controller.

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Fig. 4. System simulation results. (a) Supply voltage, vs. (b) Load current, iL. (c) SAPF current with a predictive fuzzy controller, ic. (d)Supply current with a predictive fuzzy controller, is. (e) SAPF current with a predictive PI controller, ic. (f) Supply current with apredictive PI controller, is.

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Fig. 5. System simulation results. (a) Load neutral current, iLn. (b) SAPF neutral current with a predictive fuzzy controller, icn. (c) supplyneutral current with a predictive fuzzy controller, isn. (d) SAPF neutral current with a predictive PI controller, icn. (e) Supply neutralcurrent with a predictive PI controller, isn.

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Fig. 6. Experimental setup. (a) Experimental system block diagram. (b) Photograph of the test rig. (c) Three phase unbalanced load.

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Fig. 7. System experimental results. (a) Distorted unbalanced load current, iL. (b) DC-link voltage. (c) SAPF compensating currents, icabc.(d) Load neutral current, iLn, SAPF neutral compensating current, icn, and supply neutral current, isn. (e) Compensated supply currentsisabc and neutral current isn.

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Fig. 8. Proposed controller performance analysis: (a) comparison between supply line currents rms, peak value and THD (%) before andafter compensation; (b) comparison between the system balance and power factor before and after compensation.

TABLE I FUZZY RULES BASE

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TABLE II ASSESSMENT COMPARISON OF THE PROPOSED TECHNIQUE WITH RECENT REFERENCES

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TABLE III PART NUMBERS AND REFERENCES OF THE EXPERIMENTAL TEST RIG ELEMENTS

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