MARATTO

article

Model Predictive Control-Based Hybrid Photovoltaic-Battery System for Weak Grid Conditions with Multifunctionality

Abstract

Battery integration with photovoltaic (PV) systems is essential for mitigating their intermittency effects due to the dependency of their output power on weather conditions. The single-stage PV structure can achieve higher efficiency, lower cost, and reduced number of components among existing structures. However, control complexity increases with single-stage PV systems in the case of integrating battery storage systems. The situation becomes more complicated with the weak grid conditions and the required multi-functionalities of PV systems with electrical grids. Therefore, This Paper introduces an enhanced control algorithm utilizing the model predictive control (MPC) approach for single-stage hybrid PV-battery systems. The proposed method can rapidly respond to the transients and variations of load, PV output power, and grid requirements. The simulation results show the enhanced transient response, steady-state response, mitigating week grid effects, and satisfying load and grid requirements.

Research topics

  • Microgrid Control and Optimization
  • Advanced Battery Technologies Research
  • Power Systems and Renewable Energy

Sustainable Development Goals

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1109/mepcon58725.2023.10462459

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.