发表机构
Andlinger Center for Energy and the Environment, Princeton University; Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology; Automatic Control Laboratory, EPFL; Institute for Transport Planning and Systems at ETH Zurich; College of New Energy, China University of Petroleum (East China); Shandong Engineering Research Center of Power Electronic Technology in Power Systems（普林斯顿大学安格林格能源与环境中心; 卡尔斯鲁厄理工学院自动化与应用信息学研究所; 瑞士联邦理工学院洛桑分校自动控制实验室; 苏黎世联邦理工学院交通规划与系统研究所; 中国石油大学（华东）新能源学院; 山东省电力系统电力电子技术工程研究中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对交直流混合配电网，提出基于凸ALADIN的二阶分布式优化方法，实现局部二次收敛，并利用PROcess Orchestration框架自动化执行，数值验证有效。
AI 中文摘要
现有的交直流配电网运行模型常常过度简化交直流互联与VSC特性的相互作用。此外，当前的分布式算法依赖于基于梯度的方法，这些方法仅能达到线性收敛速度，并且难以高效扩展至大规模系统。本文提出了一种凸ALADIN变体，该变体利用凸子问题的二阶导数，在分布式非线性但凸优化问题上实现局部二次收敛。随后，将此凸ALADIN应用于交直流混合配电网的可分离交直流最优潮流模型，该模型显式纳入复杂的交直流互联和多个下垂控制的VSC，同时保持计算可追踪性。为连接理论与实践，我们使用PROcess Orchestration框架实现了分布式凸二阶优化框架，该框架是一个协同仿真平台，通过用户友好的图形界面自动化工作流设计、模型集成和分布式执行，无需手动编码。数值结果验证了所提模型的有效性。
英文摘要
Existing operation formulations for AC/DC distribution grid often oversimplify the interplay of AC/DC interconnections and VSC characteristics. Moreover, current distributed algorithms depend on gradient-based methods, which achieve only linear convergence rates and struggle to scale efficiently for large systems. This paper proposes a convex ALADIN variant that exploits second-order derivatives of convex subproblems, achieving locally quadratic convergence for distributed nonlinear but convex optimization problems. Then, this convex ALADIN is applied to a separable AC/DC OPF model for AC/DC hybrid distribution grid, explicitly incorporating complicated AC/DC interconnections and multiple droop-controlled VSCs while retaining computational traceability. To bridge theory with practice, we implement the distributed convex second-order optimization framework using the PROcess Orchestration Framework, a co-simulation platform that automates workflow design, model integration, and distributed execution via a user-friendly graphical interface, eliminating manual coding. Numerical results illustrate effectiveness of the proposed model.
DOI：10.1109/TPWRS.2026.3658172
