A design analysis and implementation of PI, PID and fuzzy supervised shunt APF at nonlinear load application to improve power quality and system reliability

Garima Goswami () and Pankaj Kumar Goswami ()
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Garima Goswami: Teerthanker Mahaveer University
Pankaj Kumar Goswami: Teerthanker Mahaveer University

International Journal of System Assurance Engineering and Management, 2021, vol. 12, issue 6, No 16, 1247-1261

Abstract: Abstract The extensive implementation of smart utilities in household and business applications have enhanced the embedding of nonlinear electronic components in the majority of devices. The nonlinear load current–voltage (i–v) behaviour lead to the insertion of unproductive higher-order harmonics in the supply mains. This causes time-variant performance deviation of sensitive devices and overall depreciation in power quality factor. Therefore, the overall system performance is subjected to reliability issues and viable to fault occurrence. This paper proposes a stable transformerless hybrid shunt active power filter for mitigation of higher-order harmonics from the main power supply. The methodology consists of modelling, iteration and time-variant analysis of power system model at linear and non-linear load. The PI, PID and Fuzzy supervised shunt active power filter (SAPF) are designed, analysed and implemented into a nonlinear load system. The three controller performances are compared and validated with a trade-off between design complexities. Among the three proposed model fuzzy supervised and PID SAPF offers 0.49% of total harmonic distortion (THD) in supply mains. The two models are adequate to use as per the IEEE-519 standards permissible limit (less than 5%). Hence, the implementation of the proposed filter technique to commercial and non-commercial non-linear load devices reduces the harmonic distortion, enhances the power factor and improves the system reliability.

Keywords: Reliability; Harmonics; Non-linear load; PI; PID; Fuzzy controller; MATLAB/simulation; Power factor (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s13198-021-01179-8

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