发表机构
FortisAlberta; University of Calgary（阿尔伯塔福特斯电力公司; 卡尔加里大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出多步骤框架，将协同规划、成本分配与零售商模型结合，在36节点系统验证，纳入用户决策可降低输配电系统总成本、减少输电侧发电依赖，支撑更实际的规划。
AI 中文摘要
分布式能源资源（DER）的持续接入推动了协同系统规划的研究。现有文献表明DER可降低系统成本，但常忽视用户行为，尤其是由成本节约和激励驱动的DER接入。系统成本分配会影响这些决策，进而影响DER接入量、电网注入量及整体系统效率。因此，协同系统规划应同时考虑DER的系统级与用户级效益。本文提出多步骤框架，将协同规划模型与成本分配、零售商商业模式相结合：协同规划模型在网络约束下最小化总系统成本，成本分配与零售商模型捕捉用户对成本及DER机会的响应；通过协调这些模型，该框架可体现用户行为对规划结果的影响。所提方法在36节点系统上验证，结果显示纳入用户决策可降低总系统成本、减少对输电侧发电的依赖，支撑更贴合实际的系统规划。
英文摘要
The continued integration of distributed energy resources (DERs) motivates research into integrated system planning. While existing literature shows that DERs can reduce system costs, it often overlooks customer behaviour, particularly DER adoption driven by cost savings and incentives. System cost allocation can influence these decisions, affecting DER uptake, grid injections, and overall system efficiency. Therefore, integrated system planning should consider both system- and customer-level benefits of DERs. This paper proposes a multi-step framework that combines an integrated planning model with cost allocation and retailer business models. The integrated planning model minimizes total system costs subject to network constraints, while the cost allocation and retailer models capture customer responses to costs and DER opportunities. By coordinating these models, the framework represents how customer behaviour influences planning outcomes. The proposed approach is demonstrated on a 36-bus system, with results showing that incorporating customer decision-making reduces overall system costs, lowers reliance on transmission-connected generation, and supports more realistic system planning.
Comments5 pages, 5 figures 5 equations, accepted for presentation at the CIGRE Energy conference happening on September 21 to September 24 in Calgary, Alberta, Canada
