Distributed Optimal Power Flow for Large-Scale Multi-Area Interconnected Power Systems

IF 6.9 2区 工程技术 Q2 ENERGY & FUELS
Qingju Luo;Jizhong Zhu;Haohao Zhu;Di Zhang
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引用次数: 0

Abstract

Distributed optimal power flow (OPF) of large-scale multi-area interconnected power systems is a challenging problem. This letter proposes a distributed OPF approach based on the modified decomposition-coordination interior point method (DCIPM). The proposed method eliminates the zero rows of the coupling matrix and partially factorizes the augmented Newton matrix on the foundation of DCIPM, which speeds up the computation. Eliminating zero rows significantly reduces the size of the coupling matrix, and the partial decomposition of the augmented Newton matrix exploits the sparsity of the coupling matrix. The proposed distributed OPF approach is more convergent and efficient than the traditional distributed optimization methods and faster than the centralized MATPOWER, as verified in different systems, the largest of which contains 70,000 buses.
大型多区域互联电力系统的分布式最优潮流
大规模多区域互联电力系统的分布式最优潮流(OPF)是一个具有挑战性的问题。本文提出了一种基于改进分解协调内点法(DCIPM)的分布式OPF方法。该方法消除了耦合矩阵的零行,并在DCIPM的基础上对增广牛顿矩阵进行了部分因式分解,提高了计算速度。消除零行显著减小了耦合矩阵的大小,增广牛顿矩阵的部分分解利用了耦合矩阵的稀疏性。本文提出的分布式OPF方法比传统的分布式优化方法收敛性和效率更高,比集中式MATPOWER方法更快,在不同的系统中得到了验证,其中最大的系统包含7万辆总线。
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
CiteScore
11.80
自引率
12.70%
发文量
389
审稿时长
26 weeks
期刊介绍: The CSEE Journal of Power and Energy Systems (JPES) is an international bimonthly journal published by the Chinese Society for Electrical Engineering (CSEE) in collaboration with CEPRI (China Electric Power Research Institute) and IEEE (The Institute of Electrical and Electronics Engineers) Inc. Indexed by SCI, Scopus, INSPEC, CSAD (Chinese Science Abstracts Database), DOAJ, and ProQuest, it serves as a platform for reporting cutting-edge theories, methods, technologies, and applications shaping the development of power systems in energy transition. The journal offers authors an international platform to enhance the reach and impact of their contributions.
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