Journal of Electrical Engineering and Automation

The power allocation and optimal control technology in the collaborative scheduling of multi-energy systems aims to enhance the overall efficiency and stability of the energy system by integrating different types of energy resources. This study focuses on how to use advanced algorithms and technologies to achieve the effective combination and management of various forms of energy, with the goal of energy conservation and emission reduction. Firstly, the main challenges existing in the current multi-energy systems are analyzed, such as energy volatility, mismatch between supply and demand, and other issues. Then, several effective power allocation strategies and optimal control methods are discussed, including the application of artificial intelligence-based prediction models, smart grid technologies, and distributed energy systems. Through scientific and reasonable power allocation and optimal control, the energy utilization rate can be significantly improved, environmental pollution can be reduced, and sustainable development can be promoted.

Multi-Energy system; Collaborative scheduling; Power allocation; Optimal control; Smart grid