浙江电力2024，Vol.43Issue(2)：79-87,9.DOI:10.19585/j.zjdl.202402009
基于负荷场景多层聚类的储能精细化规划研究
Research on refined energy storage planning based on multi-layer clustering of load scenarios
摘要
Abstract
To address the current issues of insufficient precision in scenario division and limited applicability of models in energy storage planning,the paper proposes a method for refined energy storage planning based on multi-layer clustering of load scenarios.Firstly,an analysis method is introduced that considers the spatiotemporal cou-pling characteristics of load using association analysis and clustering,along with a multi-layer clustering method considering load spatiotemporal characteristics.Secondly,for typical load scenarios,a refined energy storage plan-ning model is constructed that comprehensively considers carbon emissions,lifecycle costs,penalties for curtailed wind and solar power,and the coordination of energy storage and distributed energy sources.Finally,a case study is conducted on an actual distribution network,resulting in optimal coordinated configurations of energy storage and distributed energy sources for different load scenarios.This validates the feasibility and effectiveness of the proposed model and method.关键词
储能/时空特性/负荷场景/多层聚类/协同规划Key words
energy storage/spatiotemporal characteristic/load scenario/multi-layer clustering/collaborative planning引用本文复制引用
郑圣,谭书平,张清周,朱海立,赵碚,金尉,方逸航..基于负荷场景多层聚类的储能精细化规划研究[J].浙江电力,2024,43(2):79-87,9.基金项目
国家重点研发计划资助项目(2020YFB2104500) （2020YFB2104500）
