Research on Intelligent Algorithm Design and Performance Evaluation Model for New Energy Scheduling

In this paper, a new energy scheduling system based on improved grey model algorithm is proposed, and its performance is evaluated comprehensively. Firstly, aiming at the uncertainty and volatility problems in new energy scheduling, this paper designs an improved grey model algorithm that integrates historical data and real-time information to improve prediction accuracy and scheduling efficiency. Then this paper introduces the application process of this algorithm in new energy scheduling system in detail, and verifies its effectiveness through model simulation experiment. The experimental results show that the proposed algorithm has significant advantages in improving energy efficiency, reducing operation cost, and enhancing system stability. In addition, people also set up a complete performance evaluation system, and carried out quantitative analysis and evaluation of each index of the algorithm. This study not only provides a new theoretical support and technical means for the field of new energy dispatching, but also provides a useful reference for the future development of related fields.