Title: Simulation-Integrated Distributed Optimal Power Flow for Unbalanced Power Distribution Systems Show Chinese title

Title: 集成仿真的分布式不平衡配电网最优潮流

Abstract: Distributed optimization methods have been extensively applied for the optimization of electric power distribution systems, especially for grid-edge coordination. Existing distributed optimization algorithms applied to power distribution systems require many communication rounds among the distributed agents and may pose convergence challenges in difficult nonlinear settings. The communication network parameters also significantly impact the algorithm's performance. In this paper, we propose a scalable, equivalent network approximation-based, distributed optimization algorithm that employs simulation within optimization using the system's digital twin (DT) to solve the optimal power problems (OPF) for a three-phase unbalanced distribution system. The proposed approach is implemented using a cyber-physical co-simulation platform to validate the robustness of the proposed distributed algorithm under stressed communication. The proposed approach is thoroughly validated using the IEEE 123-bus test system. Show Chinese abstract

Abstract: 分布式优化方法已被广泛应用于电力配电网的优化，特别是在电网边缘协调方面。现有的应用于电力配电网的分布式优化算法需要分布式代理之间进行多次通信，并且在复杂的非线性情况下可能面临收敛挑战。通信网络参数也显著影响算法性能。本文提出了一种可扩展的基于等效网络近似的方法，该方法利用系统数字孪生（DT）在优化过程中进行仿真，以解决三相不平衡配电系统的最优潮流（OPF）问题。所提出的方案使用网络物理协同仿真平台实现，以验证在通信压力下所提出的分布式算法的鲁棒性。所提出的方案通过IEEE 123节点测试系统进行了全面验证。