Staged optimization of distributed new energy multi-scale source network load storage system

Abstract Renewable capacity drives the development of distributed new capacity systems, and its multi-scale characteristics challenge system optimization. Therefore, this article conducts a phased optimization study on the distributed new capacity multi-scale source grid load storage system, aiming to improve the overall operational efficiency and flexibility of the capacity system to meet the needs of capacity transformation and low-carbon development. An optimization model is developed and solved using a differential evolution algorithm to reduce capacity loss, improve output and capacity storage efficiency, increase revenue, and achieve efficient, stable, and sustainable operation of the system.