Comparative Performance of UPQC Control System Based on PI-GWO, Fractional Order Controllers, and Reinforcement Learning Agent

Comparative Performance of UPQC Control System Based on PI-GWO, Fractional Order Controllers, and Reinforcement Learning Agent

In this paper, based on a benchmark on the performance of a Unified Power Quality Conditioner (UPQC), the improvement of this performance is presented comparatively by using Proportional Integrator (PI)-type controllers optimized by a Grey Wolf Optimization (GWO) computational intelligence method, f...

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Bibliographic Details
Main Authors: Marcel Nicola, Claudiu-Ionel Nicola, Dumitru Sacerdoțianu, Adrian Vintilă
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Electronics
Subjects:
UPQC
active power filter
grey wolf optimization
fractional order
reinforcement learning
Online Access:https://www.mdpi.com/2079-9292/12/3/494

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