Power Qualityenhancement with GA Fuzzy PID Based SHAF

This work presents a GA Fuzzy PID Shunt Hybrid Active Filter (SHAF) designed to compensate harmonics & reactive power. The hybrid approach combines shunt passive and active filters, leveraging the advantages of each component. Passive filters (PF) are avoided due to their massive & multifaceted strategy, while active filters (AF) are costly for high ratings. Simulink prototypes of SHAF are created to achieve fewer misleading sine wave input currents. In this approach, extraction of current reference for the AF diverges from conventional methods such as (id-iq) or (p-q) theory, eliminating the need for load current sensing. A unique controller i.e. Fuzzy PID, is employed to estimate the crest current reference for SHAF, optimizing the controller gains Genetic Algorithm (GA) is used. The algorithm incorporates the integral time weighted absolute error (ITAE). Constraints like Total Harmonic Distortion (THD), Power Factor (PF), Active and Reactive Power (P & Q) are assessed through simulation, & predicted system is validated under steady conditions for the Optimal Fuzzy PID and PIDController (OFPIDC & OPIDC), utilised for current reference extraction.

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Published
2025-05-23
DOI
https://doi.org/10.1109/apsit63993.2025.11086339
Primary Topic
Neural Networks and Applications
Type
article
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Power Qualityenhancement with GA Fuzzy PID Based SHAF

Tarakanta Jena, Akshaya Kumar Patra, Jyoti Ranjan Padhi, Alok Kumar Mishra et al.
Neural Networks and Applications
article

Power Qualityenhancement with GA Fuzzy PID Based SHAF

Tarakanta Jena, Akshaya Kumar Patra, Jyoti Ranjan Padhi, Alok Kumar Mishra, Narayan Nahak, Sanjeeb Kumar Kar
article en

Abstract

This work presents a GA Fuzzy PID Shunt Hybrid Active Filter (SHAF) designed to compensate harmonics & reactive power. The hybrid approach combines shunt passive and active filters, leveraging the advantages of each component. Passive filters (PF) are avoided due to their massive & multifaceted strategy, while active filters (AF) are costly for high ratings. Simulink prototypes of SHAF are created to achieve fewer misleading sine wave input currents. In this approach, extraction of current reference for the AF diverges from conventional methods such as (id-iq) or (p-q) theory, eliminating the need for load current sensing. A unique controller i.e. Fuzzy PID, is employed to estimate the crest current reference for SHAF, optimizing the controller gains Genetic Algorithm (GA) is used. The algorithm incorporates the integral time weighted absolute error (ITAE). Constraints like Total Harmonic Distortion (THD), Power Factor (PF), Active and Reactive Power (P & Q) are assessed through simulation, & predicted system is validated under steady conditions for the Optimal Fuzzy PID and PIDController (OFPIDC & OPIDC), utilised for current reference extraction.

New Huadu Business School (CN)
Affordable and clean energy
Openalex Percentile: Top 91%
Neural Networks and Applications
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