Photovoltaic Power Injection Control Based on a Virtual Synchronous Machine Strategy.

Area of Science:

• Electrical Engineering
• Renewable Energy Systems
• Power Quality

Background:

• Increasing photovoltaic (PV) integration challenges grid power quality due to variability and lack of inertia.
• PV sources, especially in distribution systems and microgrids, cause voltage and frequency deviations.
• Existing grid-forming controls often require costly voltage sources or energy storage.

Purpose of the Study:

• To design a PV injection system using virtual synchronous machine (VSM) control.
• To provide voltage and frequency support to the power grid.
• To enhance power quality without additional hardware costs.

Main Methods:

• Implemented a VSM control strategy for PV systems.
• Adapted maximum power point tracking (MPPT) for voltage reference generation.
• Integrated droop frequency control for active power injection.
• Validated the strategy through simulations and experimental tests.

Main Results:

• Demonstrated successful PV power injection while providing voltage support.
• Showcased effective frequency regulation capabilities.
• Confirmed the feasibility of the VSM control strategy in enhancing grid stability.

Conclusions:

• The proposed VSM control strategy effectively supports grid voltage and frequency.
• This approach enhances power quality from PV sources without increasing system costs.
• The study validates a cost-effective solution for integrating renewables.