Analytically Quantifying the Efficiency Loss in Competitive Aggregation of Demand-Side Resources

IF 8.6 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Smart Grid Pub Date : 2024-08-02 DOI:10.1109/TSG.2024.3437654

Xiaotian Sun;Haipeng Xie;Dawei Qiu;Yunpeng Xiao;Goran Strbac;Zhaohong Bie

引用次数: 0

Abstract

Aggregation of demand-side resources (DSRs) to load aggregators (LAs) is a prevailing way to participate in the electricity market. This letter proposes an analytical approach to quantify the efficiency loss inherent in the competitive aggregation of DSRs by calculating the price of anarchy (PoA) via linear programming (LP). First, the equivalent Nash equilibrium condition for competitive aggregation is derived. Then, the LP problem for PoA calculation is formulated by leveraging parameterization and dual reformulation. Finally, applications on a demonstrative case and a series of large-scale cases are conducted to validate the effectiveness and scalability of the proposed method.

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分析量化需求方资源竞争性聚合的效率损失

将需求侧资源（DSR）聚合到负载聚合器（LA）是参与电力市场的一种普遍方式。本文提出了一种分析方法，通过线性规划（LP）计算无政府状态价格（PoA）来量化 DSR 竞争性聚合中固有的效率损失。首先，推导出竞争性聚合的等效纳什均衡条件。然后，通过参数化和对偶重构，提出了计算 PoA 的 LP 问题。最后，对一个示范案例和一系列大型案例进行了应用，以验证所提方法的有效性和可扩展性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Smart Grid ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

22.10

自引率

9.40%

发文量

526

审稿时长

6 months

期刊介绍： The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.