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Performance Analysis of Artificial Neural Network and Neuro-Fuzzy Controlled Shunt Hybrid Active Power Filter for Power Conditioning

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Proceedings of the International Conference on Soft Computing Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 397))

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Abstract

Harmonics are developed in the power systems at various stages with the increased role of power electronic converters. Harmonics reduces the quality of power systems results in instability and voltage distortion. Several filtering techniques with different controllers have been proposed earlier for reducing the harmonics, but accurate and fast controllers are needed. This paper presents different intelligent control techniques such as artificial neural network (ANN) and neuro-fuzzy controllers for shunt hybrid active power filter (SHAPF), based on feed forward-type (trained by a back propagation algorithm) ANN and mamdani-type neuro-fuzzy method for mitigating the harmonics in the distribution system. In SHAPF, the active power filters (APF) mainly uses the energy of the capacitor in order to maintain its DC-link bus voltage and thus reduces the time of the transient response when there is abrupt variation in the load. The suggested control techniques are usually appropriate for any type of other APF. The proposed control strategies for SHAPF have been constructed in MATLAB/SIMULINK environment. In this paper, simulation results of both the methods are presented, it is observed that there is a considerable reduction in harmonics with both controllers.

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Acknowledgments

This work was supported in part by the SERB under Grant SB/EMEQ-321/2014.

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Authors and Affiliations

  1. Department of EEE, K L University, Guntur, 522502, Andhra Pradesh, India

    Jarupula Somlal

  2. Department of Electrical & Electronics Engineering, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, 520007, Andhra Pradesh, India

    M. Venu Gopala Rao

Authors
  1. Jarupula Somlal
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  2. M. Venu Gopala Rao
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Correspondence to Jarupula Somlal .

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Editors and Affiliations

  1. Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, India

    L. Padma Suresh

  2. IIT Delhi, New Delhi, Delhi, India

    Bijaya Ketan Panigrahi

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Somlal, J., Venu Gopala Rao, M. (2016). Performance Analysis of Artificial Neural Network and Neuro-Fuzzy Controlled Shunt Hybrid Active Power Filter for Power Conditioning. In: Suresh, L., Panigrahi, B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 397. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2671-0_28

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  • DOI: https://doi.org/10.1007/978-81-322-2671-0_28

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2669-7

  • Online ISBN: 978-81-322-2671-0

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