AC–DC security-constrained optimal power flow for the Australian National Electricity Market

• Published in: Electric power systems research 2024-09, Vol.234, p.110784, Article 110784
• Main Authors: Mohy-ud-din, Ghulam, Heidari, Rahmat, Ergun, Hakan, Geth, Frederik
• Format: Article
• Language: English
• Subjects: Contingency filter; Converters; Decomposition; HVDC; Security-constrained optimal power flow
• ISSN: 0378-7796; 1873-2046
• DOI: 10.1016/j.epsr.2024.110784

This paper presents a new methodology to solve the integrated ac–dc security-constrained optimal power flow (SCOPF) problem for large-scale power systems, with a focus on the Australian National Electricity Market (NEM). The proposed SCOPF is based on a decomposition scheme that significantly reduces the dimensionality of the problem and thus improves the computational performance. It further supports a contingency ranking, evaluation, and non-dominated filtering algorithm, cyclic selection of filtered contingencies, careful choice of slack variables, and a tailored warm start to the nonlinear problem. The methodology is validated against the two-stage mathematical programming model that uses an explicit nonlinear model of both the base case and the contingency cases, at a slightly higher cost but significantly faster execution. Moreover, the NEM power system, is studied addressing different scenarios including load variations, renewable energy zone integration, and additional reinforcements like point-to-point and meshed HVDC. The proposed approaches provides preventive solutions in less than 5 min thus affirming the model’s effectiveness in real-time applications and planning studies. •Development of a new SCOPF model for real-world ac–dc power systems•Model implementation on the synthetic Australian NEM ac–dc power system•Offering AC feasible preventive SCOPF solutions in under 5 min for the Australian NEM•Model availability as an open-source package ‘PowerModelsACDCsecuri tyconstrained.jl’