Inspection Robot Based Mobile Sensing and Power Line Tracking for Smart Grid.

Area of Science:

• Electrical Engineering
• Robotics
• Smart Grid Technology

Background:

• Smart grids require reliable methods for monitoring electricity usage and detecting theft.
• Current inspection robots face challenges in maintaining stable and accurate tracking of overhead power lines.
• Remote current measurement is crucial for identifying illegal electricity consumption.

Purpose of the Study:

• To develop an accurate power line tracking method for inspection robots.
• To enhance the detection of illegal electricity usage in smart grids.
• To address the challenge of stable and correct power line tracking.

Main Methods:

• Utilizing parabolic and circle fitting algorithms to predict power line swing paths.
• Employing an inspection robot for remote current measurement on overhead power lines.
• Implementing mathematical function fitting for precise trajectory prediction.

Main Results:

• The proposed tracking method demonstrated effectiveness through simulations.
• Experimental results validated the accuracy and stability of the power line tracking.
• Successful remote current measurements were achieved using the developed tracking technique.

Conclusions:

• The parabolic and circle fitting algorithms provide a robust solution for power line tracking.
• This method significantly improves the accuracy of illegal electricity detection in smart grids.
• The developed inspection robot system offers a practical approach for power line monitoring.