Abstract
This paper is presenting an Adaptive Fractional Order PID (AFOPID) controller for PV connected grid system. The proposed controller is designed to harvest maximum power from the PV source. AFOPID controller contain the property of conventional PID controller, where the controller contains an adaptive property to optimize gain parameter on the basis of generator and grid side parameter in view. In the suggested work, the AFOPID controller imparted with the characteristic to get tune with particle swarm optimization to track maximum power point tracking, dc link voltage, and current control and quadrature axis modeling. Furthermore, the current control functionalities are performed through an AFOPID, where the controlling parameters are updated by measured error at every instant. The aim of this research is to attain maximum power from the PV source under varying weather conditions with minimum total harmonic distortion, which validate the performance of the proposed controller. The proposed work is compared with, FOPID, FLC, PI, GA and ACO tune FOPID controllers.
Original language | English |
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Pages (from-to) | 2599-2610 |
Number of pages | 12 |
Journal | Journal of Electrical Engineering and Technology |
Volume | 16 |
Issue number | 5 |
DOIs | |
State | Published - Sep 2021 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2021, The Korean Institute of Electrical Engineers.
Keywords
- Adaptive fractional PID control
- Fuzzy logic control
- Maximum power point tracking
- Particle swarm optimization
ASJC Scopus subject areas
- Electrical and Electronic Engineering