MATLAB-Based Simulation of Distributed Photovoltaic Power Generation Systems

MATLAB simulation of distributed photovoltaic power generation systems provides a crucial tool for renewable energy integration research. This simulation typically revolves around three core modules: photovoltaic array modeling, inverter control, and grid interaction.

At the system modeling level, it's necessary to construct equivalent circuit models for photovoltaic cells, focusing on the nonlinear effects of light intensity and ambient temperature on output characteristics. By describing I-V curve characteristics through differential equations, the simulation can accurately replicate power generation fluctuations under various weather conditions. In MATLAB implementation, this involves using Simscape Electrical components or creating custom PV models with mathematical equations to simulate real-world variability.

The power electronics section primarily simulates control strategies for DC/AC inverters, including MPPT (Maximum Power Point Tracking) algorithm implementation. Common methods like Perturb and Observe or Incremental Conductance can be constructed using logical modules in Simulink, where developers can implement these algorithms through Stateflow charts or MATLAB Function blocks to dynamically adjust PWM waveforms for optimal energy conversion efficiency.

Grid-connected simulation requires special attention to synchronization control and power quality analysis, employing Phase-Locked Loop (PLL) technology for phase synchronization and utilizing FFT tools to monitor harmonic distortion rates. For microgrid applications, the simulation can be extended to include energy storage systems and load management modules to study off-grid operating characteristics. Implementation typically involves Simulink's power system toolbox with custom control logic for seamless mode transitions.

This simulation approach can effectively evaluate the impact of shadow effects and intermittent generation on distribution grids, providing data support for system capacity planning and protection device configuration through comprehensive scenario analysis and performance metrics calculation.