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IFGO Optimized Self-adaptive Fuzzy-PID Controlled HSAPF for PQ Enhancement

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Abstract

In this article, a cost-effective Hybrid Shunt Active Power Filter (HSAPF) is presented for compensation of harmonics and reactive power. Again, a novel estimation algorithm Robust Extended Complex Kalman Filter (RECKF), is used to estimate per-unit in phase fundamental component of the reference current. A novel Self-Adaptive Fuzzy-PID Controller (SAFPIDC) is adopted to create the maximum value of the reference current. All the parameters of the proposed controller are optimized by an Improved Football Game Optimization (IFGO) technique. Again, to generate the switching pulse for the Voltage Source Converter (VSC), the Sliding Mode Control (SMC) technique is considered. To investigate the performance parameter of the proposed HSAPF, thyristorised nonlinear loading condition is being considered. The comparative simulation and experimental results reflect the better performance of IFGO-SAFPIDC-HSAPF with respect to Football Game Optimization (FGO) optimized SAFPIDC or Conventional PID Controller (CPIDC)-based HSAPF using two different estimation algorithms considered such as RECKF and Extended Complex Kalman Filter (ECKF).

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, ITER, SOA University, Bhubaneswar, Odisha, India

    Alok Kumar Mishra & Akshaya Kumar Patra

  2. Department of Electronics and Communication Engineering, ITER, SOA University, Bhubaneswar, Odisha, India

    Pradip Kumar Nanda

  3. Department of Electrical Engineering, Odisha University of Technology and Research, Bhubaneswar, Odisha, India

    Prakash Kumar Ray

  4. Department of Electrical Engineering, PMEC, Berhampur, Odisha, India

    Soumya Ranjan Das

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  1. Alok Kumar Mishra
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Correspondence to Alok Kumar Mishra.

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Mishra, A.K., Nanda, P.K., Ray, P.K. et al. IFGO Optimized Self-adaptive Fuzzy-PID Controlled HSAPF for PQ Enhancement. Int. J. Fuzzy Syst. 25, 468–484 (2023). https://doi.org/10.1007/s40815-022-01382-0

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