Bi-Layer Decentralized Optimization Algorithm for Peer-to-Peer Energy Trading in Multimicrogrids

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Systems Journal Pub Date : 2025-02-03 DOI:10.1109/JSYST.2025.3527627

Jianquan Zhu;Haojiang Huang;Wenmeng Zhao;Qiyuan Zheng;Wenhao Liu;Jiajun Chen;Yuhao Luo

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引用次数: 0

Abstract

The growth of distributed renewable energy in microgrids (MGs) raises challenges in energy management and consumption. As an innovative approach, peer-to-peer (P2P) energy trading offers a promising solution to address these problems. In this article, we propose a bi-layer decentralized (BLD) optimization algorithm for P2P energy trading in multimicrogrids (MMG). Compared with traditional optimization algorithms that are single-layer decentralized (i.e., decentralizing solely at inter-MG trading and typically centralizing prosumers within the MG), the proposed algorithm achieves bi-layer decentralization (i.e., decentralization extends to both inter-MG and intra-MG trading). In this way, the BLD algorithm can significantly preserve the information privacy and decision independence of prosumers. In addition, the proposed algorithm can efficiently manage power flow in a decentralized manner at both layers, whereas existing decentralized algorithms frequently neglect this critical feature. Furthermore, an accelerated BLD (ABLD) algorithm is proposed to address time-consuming issues in this nested P2P trading for MMG. Numerical simulations on various test systems demonstrate the effectiveness of the proposed algorithm. The results indicate that the error of the proposed algorithm is below 0.1%. In addition, BLD requires 15602.03 s to converge with 560 prosumers, while ABLD only requires 228.05 s.

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来源期刊

IEEE Systems Journal 工程技术-电信学

CiteScore

9.80

自引率

6.80%

发文量

572

审稿时长

4.9 months

期刊介绍： This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.