Forecasting Optimal Power Point of Photovoltaic System Using Reference Current Based Model Predictive Control Strategy Under Varying Climate Conditions DOI
Muhammad Abu Bakar Siddique, Dongya Zhao, Harun Jamil

et al.

International Journal of Control Automation and Systems, Journal Year: 2024, Volume and Issue: 22(10), P. 3117 - 3132

Published: Oct. 1, 2024

Language: Английский

An Overview of Artificial Intelligence Solutions for the Maintenance and Evaluation of Photovoltaic Systems DOI
Wasswa Shafik

Engergy systems in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 23 - 53

Published: Jan. 1, 2025

Language: Английский

Citations

0

Towards Accurate and Reliable Fault Diagnosis in PV Systems: Techniques, Challenges, and Future Directions DOI
Mai N. Abu Hashish, Ahmed Refaat,

Ahmed Kalas

et al.

Process Safety and Environmental Protection, Journal Year: 2025, Volume and Issue: unknown, P. 107217 - 107217

Published: April 1, 2025

Language: Английский

Citations

0

Analytical Modeling of Photovoltaic Systems Under Partial Shading Conditions Incorporating Bypass and Blocking Diodes Influence DOI Creative Commons
Lahlou Abad, Salah Tamalouzt,

Kamel Djermouni

et al.

International Journal of Energy Research, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

This paper presents an innovative analytical model for photovoltaic (PV) systems operating under partial shading conditions (PSCs). The is developed through a detailed analysis of the current–voltage ( I – V ) curves PV affected by PSCs and employs straightforward computational algorithm adjusting every time number cells or modules contributing to power generation calculating voltage across these modules, Newton–Raphson then used solve efficiently, ensuring accurate integration all data into equation output current. proposed accounts effects bypass blocking diodes, which are critical managing efficient flow. It applicable various configurations, including individual arrays in series (S), parallel (P), series‐parallel (SP) arrangements. results validated comparisons with Simpowersystem tools MATLAB‐Simulink environment. showcases notably accelerated execution times dependable convergence toward global maximum point (GMPP). Additionally, can be implemented using any software, highlighting its versatility potential practical applications system optimization real‐time simulation environments.

Language: Английский

Citations

0

Maximum Power Point Tracking Technology for PV Systems: Current Status and Perspectives DOI Open Access
Bo Yang, Rui Xie,

Zhengxun Guo

et al.

Energy Engineering, Journal Year: 2024, Volume and Issue: 0(0), P. 1 - 10

Published: Jan. 1, 2024

Maximum power point tracking (MPPT) technology plays a key role in improving the energy conversion efficiency of photovoltaic (PV) systems, especially when multiple local maximum points (LMPPs) occur under partial shading conditions (PSC).It is necessary to modify operating efficiently and accurately with help MPPT maximize collected power.Even though lot research has been carried out impressive progress achieved for technology, it still faces some challenges dilemmas.Firstly, mathematical model established PV cells not precise enough.Second, existing algorithms are often optimized specific lack comprehensive adaptability actual environment.Besides, single algorithm may be able give full play its advantages.In end, selection criteria choosing suitable algorithm/converter combination achieve better performance given scenario very limited.Therefore, this paper systematically discusses current status faced by around three aspects models, algorithms, hardware implementation.Through indepth thinking discussion, also puts forward positive perspectives on future development, five forwardlooking solutions improve systems suggested.

Language: Английский

Citations

3

Forecasting Optimal Power Point of Photovoltaic System Using Reference Current Based Model Predictive Control Strategy Under Varying Climate Conditions DOI
Muhammad Abu Bakar Siddique, Dongya Zhao, Harun Jamil

et al.

International Journal of Control Automation and Systems, Journal Year: 2024, Volume and Issue: 22(10), P. 3117 - 3132

Published: Oct. 1, 2024

Language: Английский

Citations

3