Co-planning of network-load-storage to enhance the power-balancing capability of active distribution networks

Abstract

With the large-scale DGs and FLs plug-in, the power supply and demand in different areas are becoming increasingly divergent. This phenomenon highlights the need to enhance consideration of power balance in the planning and operation of distribution networks. This paper presents a co-planning approach called the NLS method based on the grid pattern of China's distribution network. It extends the control of individual resources to a co-planning of three resources, aiming to achieve optimal power balance and economic objectives. Firstly, to address the uncertainty of source-load, a WGAN algorithm based on SDPA is proposed, which improves the quality of generated scenarios by setting weights to the input-output power matching degree. Secondly, a BZ partitioning index is constructed based on source-load and electrical characteristics, and the SPTV-improved GA is used to achieve optimal partitioning of the distribution network, reducing the configuration cost of active resources by 81 %. Finally, a dual-layer model of DR-ESS is established, with DR prioritized and ESS as auxiliary, to achieve the collaborative optimization of both, improving the DG absorption rate by over 10 %. A GDN in Zhejiang, China, is taken as an example for case analysis. The results show that the proposed NLS co-planning method reduces the daily operating cost of the distribution network, improves DG absorption by 38 %, and decreases the supply-demand imbalance by 63 %. It demonstrates the scientific validity and effectiveness of the method in improving the source-load balance of the distribution network.