GAT-OPF: Robust and Scalable Topology Analysis in AC Optimal Power Flow With Graph Attention Networks

IF 2 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Iet Generation Transmission & Distribution Pub Date : 2025-03-18 DOI:10.1049/gtd2.70039
Jiale Zhang, Xiaoqing Bai, Peijie Li, Zonglong Weng
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Abstract

As power systems rapidly grow in scale and complexity, existing data-driven methods are limited when applied to large-scale networks due to issues with low prediction accuracy and constraint violations. This paper proposes an innovative hybrid framework, GAT-OPF, which, for the first time, combines graph attention networks (GAT) with deep neural networks (DNN) to form the GAT-DNN model, designed to dynamically adapt to topology changes in the AC optimal power flow (AC-OPF) problem. A hybrid loss function is also developed, combining prediction error with a constraint violation penalty term and incorporating a dynamic Lagrange multiplier adjustment mechanism to ensure constraint compliance throughout training. The model was tested under topology changes on the IEEE 30-bus system and validated for scalability on larger systems, including IEEE 300-bus, 1354-bus, and 9241-bus systems. The results show that the proposed model significantly enhances the computational efficiency of large-scale power systems while effectively balancing high prediction accuracy and low constraint violations without post-processing, highlighting its potential for real-time optimization in large-scale power systems.

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来源期刊
Iet Generation Transmission & Distribution
Iet Generation Transmission & Distribution 工程技术-工程:电子与电气
CiteScore
6.10
自引率
12.00%
发文量
301
审稿时长
5.4 months
期刊介绍: IET Generation, Transmission & Distribution is intended as a forum for the publication and discussion of current practice and future developments in electric power generation, transmission and distribution. Practical papers in which examples of good present practice can be described and disseminated are particularly sought. Papers of high technical merit relying on mathematical arguments and computation will be considered, but authors are asked to relegate, as far as possible, the details of analysis to an appendix. The scope of IET Generation, Transmission & Distribution includes the following: Design of transmission and distribution systems Operation and control of power generation Power system management, planning and economics Power system operation, protection and control Power system measurement and modelling Computer applications and computational intelligence in power flexible AC or DC transmission systems Special Issues. Current Call for papers: Next Generation of Synchrophasor-based Power System Monitoring, Operation and Control - https://digital-library.theiet.org/files/IET_GTD_CFP_NGSPSMOC.pdf
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