An active distribution network optimization and scheduling method that takes into account fluctuations in new energy sources

This article aims to explore and propose an active distribution network optimization and scheduling method that takes into account new energy fluctuations, in order to address the challenges that new energy fluctuations bring to traditional power systems. This method constructs an optimization model that takes into account the volatility characteristics of new energy sources such as wind and solar power through in-depth analysis, providing a mathematical basis for subsequent scheduling algorithms. By integrating advanced prediction technologies, precise prediction and dynamic scheduling of new energy output can be achieved to improve the stability and reliability of the distribution network. The experimental results indicate that the method proposed in this article is expected to provide new ideas and technical support for solving the challenges brought by the volatility of new energy, promote the intelligent and green development of active distribution networks, and make positive contributions to energy transformation and sustainable development.