Smart Wind Turbine Blade Monitoring System within Virtual Power Plant Framework

Currently, there is a global push for the development of virtual power plants, driving the electricity industry towards a more sustainable, intelligent, and flexible direction. Wind energy, as an abundant and scalable renewable energy source, is widely integrated into virtual power plants, participating in the entire supply chain of energy production, storage, and dispatch to flexibly respond to real-time market demands. However, wind energy generation equipment faces challenges during the transportation phase due to complex geographical environments and the large size of blades, increasing the costs and complexities of wind energy projects. Additionally, existing blade transportation solutions often come with limitations such as high costs, complex routes, and safety concerns. In response to these challenges, this paper proposes an intelligent wind energy equipment transportation system that combines perception and management to automate the transportation process of wind turbine blades. This system can perceive environmental information and transportation conditions, automatically assess safety in the surroundings, and make informed decisions. Moreover, the system is not restricted by blade size, model, or transportation method, making it adaptable to various wind energy devices. Furthermore, the system includes safety assessment, alerting, and accident tracking functions, effectively reducing the risk of accidents. In practical deployments, this system has successfully achieved real-time perception and alerting of obstacles within the warning range of the blades, ensuring the safe and stable transportation of wind energy equipment. Therefore, the proposed intelligent monitoring system for wind energy equipment transportation presented in this paper holds significant practicality and reliability, contributing significantly to the widespread application of wind energy in virtual power plants.