Modeling and Design of FPGA-Based Power Quality Analyzer

Balasubbareddy, M.; Ram, Krishnil R.; Sangu, Ravindra

doi:10.1007/978-981-99-0412-9_39

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…The authors are described different algorithms such as (ABC-DE-WOA), (ACWOA), ABC in [17][18][19]. In [20][21][22][23][24][25][26][27] authors are described different power quality mitigation techniques using conventional and AI based algorithms.…”

Section: Introductionmentioning

confidence: 99%

ABC-WOA Optimization Strategy for UPQC Fuzzy PI Tuning

Sriramula Srimatha

2024

jes

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Growing numbers of power electronics-based non-linear loads have raised worries about power quality (PQ) problems, which include equipment failures, overheating, and unplanned shutdowns. Power filters have traditionally been used for harmonics elimination, but their limitations in dynamic compensation and size present challenges. The present research presents a new methodology using the Artificial Bee Colony - Whale Optimizations Algorithm (ABC-WOA) to optimize the Unified Power Quality Conditioner (UPQC) controller. Assignment aims to tackle obstacles that come with it. The suggested algorithm's efficacy is clear, as shown from the stabilization of objective function values. Highlighting the expertise of the Proportional-Integral (PI) controller in effectively regulating the DC-link voltage, this study successfully addresses power quality concerns. The analysis of voltage injection emphasizes the significant influence of the controller on the power system, showcasing seamless integration and enhanced power quality. This research provides valuable insights into the application of advanced control algorithms in power systems, specifically in addressing challenges related to non-linear loads and transient conditions.

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