电工技术学报2026，Vol.41Issue(15)：5132-5145,14.DOI:10.19595/j.cnki.1000-6753.tces.251194
计及调节能力薄弱环节识别的储-输联合规划方法
Joint Storage-Transmission Planning Method Considering Identification of Weak Links in Regulation Capacity
摘要
Abstract
With the advancement of the"dual carbon"strategy and the rapid construction of a new energy system,the proportion of renewable energy in the power system is continuously increasing.The grid connection of large-scale renewable energy has brought the challenge of insufficient regulation capacity,manifested as the dual risks of power curtailment and shortage.Relying solely on the regulation capacity resources on the generation side to follow net load change can no longer meet system operation requirements.Existing research on regulation capacity assessment and resource allocation has made progress,but most remain at the level of global indicators,lacking spatiotemporal identification of links with insufficient regulation capacity.At the planning level,the dynamic coupling between energy storage configuration and transmission expansion is generally ignored,which can lead to wasted storage investment and redundant line expansion,making it difficult to meet the flexibility and economic needs of a high-proportion renewable energy system.Therefore,this paper proposes a storage-transmission joint planning method considering the identification of weak links in regulation capability.This method conducts spatiotemporal assessment of regulation capability,tracing the source of regulation requirements to when and where they originate,thereby achieving precise localization of weak links and providing a scientific basis for accurate storage configuration and efficient transmission expansion. Firstly,considering that insufficient regulation capability mainly stems from inadequate peak shaving and transmission congestion,a source tracing method for power system supply-demand imbalance is proposed.This method clarifies the causes of insufficient regulation capability by characterizing the imbalance between supply and demand. Secondly,a regulation capability deficiency index and a line full-load duration ratio index are constructed to identify when and where deficiencies occur,precisely locating weak peak shaving nodes and bottleneck lines in the power system,providing scientific guidance for subsequent planning and reducing the solution domain. Finally,the weak link identification results are incorporated into the storage-transmission planning model.Considering the dynamic coupling mechanism between storage configuration and transmission expansion,the model achieves an integrated planning chain of"imbalance tracing-weak link identification-precise configuration"based on both economy and flexibility.To verify the effectiveness of this closed-loop model,five comparative schemes are set up,and the effectiveness and rationality of the proposed method are verified by using the Garver-6 system and the power grid of a northeastern province. The following conclusions can be drawn:(1)The imbalance tracing method provided can effectively clarify the main causes of supply-demand imbalance,and the proposed insufficient regulation index and line full-load duration ratio can accurately identify weak nodes and bottleneck transmission lines.(2)The storage-transmission planning method considering weak link identification has clear economic advantages.Considering the dynamic coupling between storage and transmission avoids wasted storage investment and redundant expansion,significantly improving economy of grid operation.(3)The method has the best effect on weak links.Compared with the scheme of"planning lines first and then configuring storage",the regulation capability shortage index decreases by 78.1%,and the line full-load duration ratio decreases by 63.5%,further proving the superiority of the proposed method.关键词
高比例可再生能源/供需失衡溯源/薄弱环节评价/扩展规划Key words
High-penetration renewable energy/supply-demand imbalance traceability/weak link assessment/joint expansion planning分类
信息技术与安全科学引用本文复制引用
杨修宇,樊泽焜,严干贵,杨呈..计及调节能力薄弱环节识别的储-输联合规划方法[J].电工技术学报,2026,41(15):5132-5145,14.基金项目
国家自然科学基金资助项目(52337004). （52337004）
