An Adaptive Maximum Power Output Sustaining System for a Photovoltaic Power Plant Based on a Robust Predictive Control Approach
Photovoltaic power plants have non-linear voltage-current characteristic, with specific maximum power point, which depends on operating conditions, viz. irradiation and temperature. In targeting the maximum power, it is by far known that the photovoltaic arrays have to operate at the maximum power p...
Saved in:
Main Authors: | I. Elzein, Yu. N. Petrenko |
---|---|
Format: | Article |
Language: | Russian |
Published: |
Belarusian National Technical University
2020-10-01
|
Series: | Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика |
Subjects: | |
Online Access: | https://energy.bntu.by/jour/article/view/1995 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Innovative Hybrid War Strategy Optimization with Incremental Conductance for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems
by: Khaterchi Hechmi, et al.
Published: (2025-01-01) -
Dispatch automation system based low voltage distributed photovoltaic power station connected estimation model
by: Dayan MA, et al.
Published: (2020-02-01) -
A comparative analysis of photovoltaic system using three algorithms: P&O, Hill Climbing and Fuzzy Logic
by: Benkirane Yassine, et al.
Published: (2025-01-01) -
Maximum power point tracking enhancement for PV in microgrids systems using dual artificial neural networks to estimate solar irradiance and temperature
by: Ahmad M.A. Malkawi, et al.
Published: (2025-03-01) -
Advanced automated machine learning framework for photovoltaic power output prediction using environmental parameters and SHAP interpretability
by: Muhammad Paend Bakht, et al.
Published: (2025-03-01)