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

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.

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Publication Details

Journal
CSEE Journal of Power and Energy Systems
Published
2025-01-01
DOI
https://doi.org/10.17775/cseejpes.2024.02430
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
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article

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

CSEE Journal of Power and Energy Systems
Smart Grid Security and Resilience
article

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

article en

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.

CSEE Journal of Power and Energy Systems
South China University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 85%
Smart Grid Security and Resilience
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