How to Tune PID controller in PV Battery system in MATLAB
Tuning of PID controller using PID tuner App in MATLAB for PV Battery DC microgrid is explained in this video.
How to Tune PID Controller in PV Battery System in MATLAB
In the world of renewable energy systems, photovoltaic (PV) battery systems play a crucial role in harnessing solar energy and storing it for later use. These systems rely on precise control mechanisms to ensure optimal performance and efficient power utilization. One widely used control technique is the Proportional-Integral-Derivative (PID) controller. In this article, we will explore the process of tuning a PID controller for a PV battery system using MATLAB, a powerful simulation and programming tool.
PV battery systems consist of solar panels, batteries, and various power electronic components. The PID controller helps maintain the battery voltage at a desired setpoint by adjusting the power flow from the solar panels to the battery. However, the default PID controller parameters might not provide the best performance for a specific PV system. Tuning the PID controller allows us to optimize its parameters to achieve better response and stability.
Understanding PID Controllers
Before diving into the tuning process, let's briefly understand the three control terms in a PID controller:
Proportional (P) term: The P term produces an output proportional to the error between the desired setpoint and the actual measured value. It provides an immediate response to the error.
Integral (I) term: The I term accumulates the past errors over time and adds them to the current error. It helps eliminate steady-state errors by continuously adjusting the output.
Derivative (D) term: The D term predicts the future trend of the error based on its rate of change. It introduces damping to reduce overshoot and improve stability.
These three terms work together to ensure the PV battery system responds effectively to changes in the setpoint or disturbances.