Decomposable Formulation of Transmission Constraints for Decentralized Power Systems Optimization

Álinson Santos Xavier (), Santanu Subhas Dey () and Feng Qiu ()
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Álinson Santos Xavier: Energy Systems and Infrastructure Analysis Division, Argonne National Laboratory, Lemont, Illinois 60439
Santanu Subhas Dey: School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332
Feng Qiu: Energy Systems and Infrastructure Analysis Division, Argonne National Laboratory, Lemont, Illinois 60439

INFORMS Journal on Computing, 2024, vol. 36, issue 6, 1562-1578

Abstract: One of the most complicating factors in decentralized solution methods for a broad range of power system optimization problems is the modeling of power flow equations. Existing formulations for direct current power flows either have limited scalability or are very dense and unstructured, making them unsuitable for large-scale decentralized studies. In this work, we present a novel sparsified variant of the injection shift factors formulation, which has a decomposable block-diagonal structure and scales well for large systems. We also propose a decentralized solution method, based on the alternating direction multiplier method, that efficiently handles transmission line outages in N-1 security requirements. Benchmarks on multizonal security-constrained unit commitment problems show that the proposed formulation and algorithm can reliably and efficiently solve interconnection-level test systems with up to 6,515 buses with no convergence or numerical issues.

Keywords: power systems optimization; alternating method of multipliers (ADMM); injection shift factors; decentralized optimization (search for similar items in EconPapers)
Date: 2024
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