Modeling and simulation-based performance study of a DC-DC power processing circuit for building-attached photovoltaic systems
This study presents the modeling, design, and simulation of a DC-DC power processing circuit for building-attached photovoltaic (BAPV) systems. With the growing integration of solar energy into urban infrastructure, efficient power conversion becomes essential for maximizing energy yield and ensuring reliable operation. The converter topology features maximum power point tracking (MPPT) using the incremental conductance (IC) algorithm combined with a proportional-integral (PI) controller. This design addresses the dynamic irradiance and partial shading conditions that are common in building-mounted PV modules. The comprehensive model integrates solar irradiance profiles, PV module characteristics, and converter control strategies and is implemented in MATLAB/Simulink for performance evaluation. Simulation results show that the system maintains a regulated output voltage of 48 ± 0.4 V across varying irradiance levels, with a voltage ripple limited to 1–3% of the output voltage. The findings demonstrate the circuit’s capability to enhance energy yield, improve operational reliability, and support the development of smart, sustainable urban energy systems. • Performance evaluation of a DC-DC power conversion system. • High power conversion efficiency across varying irradiance and partial shading. • Maintains a regulated output voltage of 48 ± 0.4 V. • Scalable and adaptable for diverse building-attached photovoltaic configurations. • Supports the development of smart, sustainable energy systems in urban environments.
Authors
- Asim Datta (ORCID: https://orcid.org/0000-0002-7960-0118)
- Swarna Jyoti Saharia
- Sadhan Mahapatra
Institutions
- Tezpur University (IN)
Publication Details
- Journal
- Next Energy
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1016/j.nxener.2025.100446
- Citations
- 1
- Primary Topic
- Photovoltaic System Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.36