Uniform stable observer for the disturbance estimation in two renewable energy systems

Area of Science:

• Control Systems Engineering
• Renewable Energy Technologies
• State Estimation

Background:

• Accurate state and disturbance estimation are crucial for optimizing performance and stability in renewable energy systems.
• Existing methods may face limitations in handling complex dynamics and uncertainties inherent in systems like wind turbines and electric vehicles.

Purpose of the Study:

• To introduce a novel observer for simultaneous state and disturbance estimation in renewable energy applications.
• To establish gain restrictions for the observer that ensure system stability and error convergence.
• To validate the observer's effectiveness in real-world renewable energy systems.

Main Methods:

• Development of a state and disturbance observer with defined gain parameters.
• Mathematical analysis to determine conditions for observer stability and error convergence.
• Application and simulation of the observer in a wind turbine system and an electric vehicle system.

Main Results:

• The proposed observer guarantees stability and error convergence under specific gain conditions.
• Accurate estimation of states and disturbances was achieved for both the wind turbine and electric vehicle models.
• The observer's performance demonstrates its suitability for enhancing the operation of these renewable energy systems.

Conclusions:

• The developed observer provides a robust solution for state and disturbance estimation in renewable energy systems.
• The established gain restrictions are vital for ensuring reliable performance and stability.
• This technique offers a valuable tool for improving the efficiency and control of wind turbines and electric vehicles.