A Bilevel Optimization Framework for Hybrid DSO-VPP Coordination: Enhancing Congestion Management and Market Efficiency in Decentralized Energy Systems

IF 3.6 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Access Pub Date : 2025-08-29 DOI:10.1109/ACCESS.2025.3604172

Ilham Ramadhan Maulana;Rehman Zafar;Il-Yop Chung

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Abstract

This paper presents a bilevel optimization framework that improves congestion management and economic efficiency in decentralized energy markets by coordinating hybrid Distribution System Operators (DSOs) and Virtual Power Plants (VPPs). The framework utilizes Distributed Locational Marginal Pricing (DLMP) to align technical constraints with market incentives and addresses challenges arising from high-penetration Distributed Energy Resources (DERs). Simulations on the modified KEPCO Active Distribution Test System (KADTS) show performance improvements compared to conventional methods, including profit increases of up to 3.35%, effective congestion mitigation, and enhanced operational flexibility enabled by adaptive DLMP mechanisms and strategic bidding. The framework is scalable, adaptable, and compatible with existing market structures. It offers a practical approach to modern energy systems and supports ongoing developments in smart grids and sustainable grid modernization.

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混合DSO-VPP协调的双层优化框架：增强分散式能源系统的拥堵管理和市场效率

本文提出了一个双层优化框架，通过协调混合配电系统运营商（dso）和虚拟电厂（vpp）来改善分散能源市场中的拥堵管理和经济效率。该框架利用分布式位置边际定价（DLMP）将技术限制与市场激励相结合，并解决高渗透率分布式能源（DERs）带来的挑战。对改进后的韩国电力主动配电测试系统（KADTS）进行的仿真表明，与传统方法相比，性能得到了改善，包括利润增加高达3.35%，有效缓解拥堵，以及自适应DLMP机制和战略竞标增强了运营灵活性。该框架是可伸缩的、可适应的，并且与现有的市场结构兼容。它为现代能源系统提供了一种实用的方法，并支持智能电网和可持续电网现代化的持续发展。

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 Access COMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

9.80

自引率

7.70%

发文量

6673

审稿时长

6 weeks

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