电网技术2024，Vol.48Issue(2)：697-709,中插48,14.DOI:10.13335/j.1000-3673.pst.2023.1065
集中式电力市场下基于谱聚类与图注意力网络的电力枢纽节点设计方法研究
Power Hub Nodes Design Based on Spectral Clustering and Graph Attention Network Under Integrated Power Markets
季天瑶 1杜哲宇 1张经纬 2龙志豪 1荆朝霞1
作者信息
- 1. 华南理工大学电力学院,广东省 广州市 510641
- 2. 中国南方电网电力调度控制中心,广东省 广州市 510623
- 折叠
摘要
Abstract
Power hub nodes are aggregation nodes that can be traded uniformly in the spot market,and they are also the cornerstone of the development and stable operation of the power financial market,which is of great significance to the construction of a unified power market system and the improvement of market functions.This paper analyzes the design of hub nodes from the perspectives of general attributes,node selection,weight design,and temporality and purposefully proposes the method of dividing hub areas based on spectral clustering and calculating weights based on a graph attention network.The core of the dual-scale metric-based spectral clustering partitioning strategy is to establish a dual-scale coupling matrix with key line power transmission distribution factor,multi-time nodes tariff,and nodes adjacency as metrics to prioritize the geographical characteristics of the hub area,the non-blocking characteristics within the area and nodes connectivity.Based on the graph attention network,a pricing nodes aggregation weight assignment model is established to achieve adaptive matching of node weights under different time slot nodes tariffs by using a self-attention mechanism to aggregate the neighboring nodes.Finally,the proposed design method is validated by IEEE 118 nodes arithmetic example,and the rationality and effectiveness of this paper's method is proved through cross-sectional comparison,which provides a reasonable basis for hub nodes setting in the actual power market.关键词
电力市场/电力金融市场/枢纽节点/谱聚类/图注意力网络Key words
power market/power financial market/hub nodes/spectral clustering/graph attention network分类
信息技术与安全科学引用本文复制引用
季天瑶,杜哲宇,张经纬,龙志豪,荆朝霞..集中式电力市场下基于谱聚类与图注意力网络的电力枢纽节点设计方法研究[J].电网技术,2024,48(2):697-709,中插48,14.
