Optimized Particle Swarm Algorithm for Advanced Bi-Level Dispatch in New Energy Power Systems

In this paper, we presents a novel bi-level optimal scheduling method for new energy power systems, using an enhanced particle swarm optimization algorithm. Addressing the prevalent issues of unclear goals, sub-optimal outcomes, and poor dispatch efficiency, approach keenly examines cyclone generation structure. It uses equivalent circuit conversion to accurately model key output characteristics, including turbine photovoltaic traits, while defining suitable index calculate system electricity levels. The also considers response characteristics demand side load curve define main objective nuanced dispatching process. proposed algorithm, improved by introducing inertia weight, effectively avoids local deadlocks enhances global search capabilities. This informs calculating information entropy value determining proximity. resulting promises cost reduction, precise prediction, as substantiated experimental results.